GLOBAL Wi-Fi NEWS bulletin

July 9, 2025

[Blog]

In the Innovation Race, Automotive Makers Must Embrace Wireless Test Integration

Wireless connectivity has become a pillar of modern vehicle design. But as OEMs and Tier 1 suppliers integrate more consumer-grade wireless technology into their vehicle platforms, they are faced with the same set of challenges confronting many electronics producers: how to create and manage efficient, repeatable, scalable and cost-effective testing procedures from the early stages of R&D through high-volume manufacturing.

The primary focus of automotive design teams is to enable innovation. However, without adequate test protocols at key points along the design chain, test engineering runs the risk of lagging behind, which can affect product quality, time to market and the user experience.

Wireless Connectivity Is in the DNA of Automotive Design

As a mainstay for enhancing safety, convenience and the overall driving experience, the most prevalent wireless connectivity technologies include Bluetooth^®, Wi-Fi and cellular networks that enable functions like hands-free calling, real-time navigation, over-the-air (OTA) software updates and remote diagnostics. These advancements have transformed vehicles into connected hubs, meeting consumer expectations for seamless digital integration.

The global market for automotive connectivity is projected to grow from $33.4 billion in 2024 to $190.3 billion by 2033, with a compound annual growth rate of 19 percent. This growth underscores the increasing demand for vehicles equipped with advanced connectivity features.

Looking ahead, wireless connectivity is poised to enable more sophisticated applications in future vehicle models. These include support for autonomous driving technologies as well as vehicle-to-everything (V2X) communication, which allows cars to interact with each other and with infrastructure to improve traffic flow and safety. As these innovations become more prevalent, the role of robust and reliable in-vehicle wireless connectivity will only become more critical.

In-Vehicle Wireless Design: A Fragmented Ecosystem

Within the automotive design ecosystem, the different subsystems in the car will have different needs. The requirements for secure keyless entry are not the same as infotainment or embedded telematic control units (TCUs) that wirelessly connects the vehicle to the cloud.

Different wireless applications exist on their own using different technologies for connectivity, each with unique test needs. The consequence is clear: a one-size-fits-all approach to automotive testing is fraught with risk due to the number and diversity of wireless integration vectors.

Wireless Weaves a Tapestry of Innovation

Wireless technologies like Wi-Fi, Bluetooth and cellular networks were initially developed for consumer applications — smartphones, laptops, smart home devices — where rapid innovation, large production volumes and price competition have driven fast iteration and falling costs. When these same technologies are integrated into vehicles, the test and deployment landscape changes dramatically.

Automotive environments are far more demanding. OEMs in this space are risk-averse and often late adopters of new technologies, prioritizing safety, security and long-term reliability over cutting-edge features. Unlike consumer devices, which may be replaced every two to three years, automotive systems must function flawlessly over much longer product lifecycles and under harsher operating conditions. This means more rigorous test requirements — especially in RF performance, environmental durability and functional safety.

Let’s look at the key points and test challenges for several of the most important technologies:

Wi-Fi is widely used in vehicles for infotainment systems, enabling media streaming, OTA updates and real-time diagnostics. In-vehicle Wi-Fi testing poses unique challenges. Dense RF environments filled with Bluetooth, cellular and even radar signals can cause interference. Coexistence testing is critical to ensure robust, uninterrupted connectivity. With Wi-Fi 7 introducing technologies like 4096-QAM and Multi-Link Operation, the test complexity increases further due to tighter Error Vector Magnitude (EVM) requirements and the need to validate operation across multiple frequency bands.

Bluetooth has evolved from a convenience feature to a core connectivity technology for hands-free calling and voice control, in-cabin device syncing and tire pressure monitoring systems (TPMS). New capabilities like Bluetooth channel sounding enhance secure access by precisely measuring proximity, which is crucial for digital keys and anti-theft systems. But testing Bluetooth in automotive applications demands attention to low-latency performance, interoperability with various mobile devices, and challenging antenna design constraints exacerbated by the vehicle’s limited space.

Digital keyless entry often combines ultra-wideband (UWB), Bluetooth and near field communication (NFC) to enable secure, seamless vehicle access. Testing must account for complex factors like precise location accuracy (to avoid relay attacks), secure cryptographic protocols and sensitivity to physical placement and interference. NFC’s short range makes testing particularly sensitive to repeatability and precision in real-world conditions.

Cellular connectivity via 4G, and increasingly 5G, is the backbone for telematics, emergency services and vehicle-to-cloud functions. Automotive test strategies must account for whether connected modules are pre-certified or chip-on-board, with the latter requiring significantly more complex and expensive RF validation.

Overall, while consumer adoption helps reduce the cost of wireless components, automotive applications demand far more robust and specialized test strategies to meet the industry’s stringent requirements for safety, reliability and performance.

Why Car Makers Need a Wireless Test Partner

Unlike the consumer electronics industry, cost-sensitive and risk-averse automotive manufacturers are slower to invest in leading-edge wireless testbeds. As a result, some OEMs and Tier 1 suppliers rely on outdated methods due to limited internal RF test knowledge.

To close the gap, a wireless test partner such as LitePoint can simplify wireless test for labs and factories and provide the capability to test the latest wireless products with innovative test methodologies.

As a trusted wireless test company, LitePoint provides high-quality, efficient and reliable test solutions. LitePoint is also the only test company to cover all three critical technologies in the Car Connected Consortium (CCC) digital key 3.0 specification – UWB, Bluetooth and NFC.

Driving Performance with Trusted Test Partnerships

As vehicles incorporate more software-defined technologies, wireless testing is no longer optional; it’s a strategic imperative.

With turnkey systems for both R&D and high-volume production, LitePoint enables automotive customers to implement scalable test processes that align with design complexity and compliance requirements. LitePoint brings deep domain expertise, strong chipset vendor relationships and leading-edge test automation. By standardizing and simplifying wireless test across design and production workflows, LitePoint helps automotive manufacturers close the gap between wireless ambition and real-world performance.

Connected vehicles require wireless systems that just work. LitePoint helps ensure they do.

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July 9, 2025

[Blog]

Why Your Hotel’s Success Depends on the Cables You Can’t See

Your guests judge your hotel within minutes of arrival. They expect lightning-fast WiFi, seamless entertainment systems, and flawless connectivity throughout their stay. But behind every five-star digital experience lies something most hoteliers never think about: the cables hidden in your walls.

In this white paper, we discuss structured cabling, which takes a standardized approach to network infrastructure. Instead of chaotic point-to-point connections, it creates an organized foundation that supports multiple technologies through a single, unified system.

Learn about the benefits of structured cabling versus traditional piecemeal approaches, how you can implement structured cabling in your hotel, and how WorldVue and our partner Cabling Solutions LLC can help with comprehensive structured cabling solutions for both new construction and retrofit projects.

Download Full White Paper

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July 9, 2025

[Blog]

Simplify Network Operations Without Sacrificing Scalability: Smarter Network Design Starts Here

Simplify Network Operations Without Sacrificing Scalability: Smarter Network Design Starts Here. RUCKUS offers a free Design My Network session where you’ll connect with an expert, talk through what’s working (and what’s not), and walk away with a personalized plan that makes sense for your environment.

If you’re responsible for keeping your organization connected—whether it’s across a campus, a hospital system, a stadium, or multiple offices—you’re likely being asked to do more with less. More users. More devices. More expectations. Meanwhile, resources and headcount aren’t exactly scaling at the same pace.

And let’s be honest – Most networks weren’t built for this kind of pressure.

If your infrastructure feels like a patchwork of short-term fixes and aging equipment, now might be the time to rethink your network design. Not by starting from scratch, but by building something smarter, more scalable, and easier to manage.

When the Network Becomes the Bottleneck

It’s easy for networks to grow in pieces—one vendor here, a new platform there—until suddenly you’re juggling more tools than time. The result? Slower performance, inconsistent coverage, and troubleshooting that eats up half your day.

Simplifying how your network is built and managed frees up your team to focus on actual priorities—not putting out fires or dealing with user complaints. And the right design doesn’t just solve problems now. It gives you a solid foundation for what’s coming next.

Why Automation Isn’t Optional Anymore

If your team is constantly buried in manual tasks, configuring access, onboarding devices, managing security — you’re not alone. But you also don’t have to live that way.

When automation is baked into the network from day one, things just work better. Devices get online faster. Policies stay consistent. Problems get flagged before they become support tickets.

Done right, automation isn’t about replacing people;, it’s about giving them back time and control. And when your team has space to be strategic instead of reactive, everything runs smoother.

Build It for How You Actually Work

There’s no one-size-fits-all when it comes to networks. What works for a hospital won’t work for a convention center. What works for your HQ might not work for your branch offices.

That’s why design matters. It should reflect how your people work, how your spaces are used, and where performance matters most. A smart design makes it easier to scale, maintain, and support without overcomplicating things.

When changes occur, as they inevitably do, you are prepared to adapt without needing to start from scratch.

See What’s Possible

Take Dr Pepper Ballpark. RUCKUS helped them rethink their network to handle packed stadium crowds, on-site vendors, and day-to-day operations—without adding complexity for their IT team.

Better coverage, smoother performance, less stress. That’s what smart design looks like.
Read the full story if you’re curious.

Let’s Make Your Network Easier to Run

If your current setup feels clunky or like it’s barely holding on, this is a chance to reset. RUCKUS offers a free Design My Network session where you’ll connect with an expert, talk through what’s working (and what’s not), and walk away with a personalized plan that makes sense for your environment.

No pressure. Just a chance to figure out what “smarter” could look like for you.

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June 26, 2025

[Blog]

Edge Computing in IoT Devices: Everything You Need to Know

From manufacturing to health care facilities, edge computing is a powerful technology reshaping how industries handle data and streamline operations. This is made possible through Internet of Things (IoT) devices, such as sensors, cameras and specialized processors embedded at the edge. The market value of IoT-enabled devices is projected to increase to $6.5 billion in 2030, which is a growth of over $4 billion compared to 2020.

This guide explores the key benefits of edge computing and IoT technology.

What Is Edge Computing in IoT?

Edge computing with IoT technology involves processing data closer to where it’s generated, which is at the network’s edge. Instead of sending every bit of information online to a distant cloud server, IoT edge devices analyze and process the data locally. This localized processing helps minimize delays, improves responsiveness and reduces the burden on bandwidth, which is crucial as IoT deployments continue to scale.

IoT devices such as sensors and smart appliances gather data in real time. With edge computing capabilities, IoT devices function as nearby edge gateways that filter, analyze and respond to data instantly.

For example, when an industrial sensor detects component damage or overheating, it prompts equipment to shut down without waiting for instructions from the cloud. Edge computing improves how IoT systems operate by enabling faster, smarter and secure device interactions while keeping critical processing close to where the computing happens.

Edge Computing and Cloud Computing in IoT

Edge-enabled IoT devices also sync with the cloud for long-term storage and coordination across systems. This hybrid approach ensures fast local action while keeping the broader IoT ecosystem connected and intelligent.

Cloud computing centralizes data processing in large-scale data centers, which is ideal for massive data storage, analytics and long-term decision-making. In contrast, edge computing processes time-sensitive data near the device itself, enabling more real-time responses. Edge computing in IoT devices complements the cloud by reducing lag, preserving bandwidth and enhancing local autonomy.

Traditional cloud-first models struggle with latency, network instability and data overload. By shifting some computing power to the edge, businesses can overcome these limitations and enhance efficiency, reliability and data security. For example, sensitive health data in hospitals can be processed locally with less risk of cyber threat than data that is routinely transmitted over networks.

How Is Artificial Intelligence Used With IoT in Edge Technology?

Artificial intelligence (AI) and machine learning (ML) have a critical role in how IoT devices process data at the edge. While traditional cloud computing relies on centralized servers for data processing, edge computing also performs AI and ML tasks directly on IoT-enabled local devices.

This decentralized approach enables real-time analysis and faster decision-making, even without internet connectivity. From security cameras to wearable health trackers, edge AI allows data to be processed where it’s generated for more immediate insights. As more industries demand timely insights, AI, ML and IoT are driving innovation in many functional and efficient ways. For example, smart traffic lights with IoT sensors or cameras analyze data and adjust traffic signals according to vehicular flow.

The Benefits of IoT Edge Computing

Edge computing offers a wealth of advantages for IoT technology, improving how businesses operate while enabling richer interactions with connected devices. The following are key benefits of employing edge-based IoT technology:

Reduces latency: Edge computing significantly minimizes processing delays by computing data close to IoT devices. Local data handling eliminates latency that occurs when information has to travel to and from an online cloud server. This is especially important for applications like smart surveillance systems and automated industrial equipment. With edge computing and IoT, immediate decision-making becomes possible and practical, allowing systems to respond to environmental inputs and operational changes in a timely manner.
Lowers energy costs: When data is processed and filtered locally, it reduces the need for constant, high-volume transmission to the cloud. It also decreases reliance on a centralized IT infrastructure and costly cloud service charges. The result is lower bandwidth consumption and less power usage across the network. Edge devices also optimize power through such techniques as sleep modes, adaptive processing and task prioritization, which are beneficial for battery-powered IoT sensors in remote areas.
Enables real-time tracking and analytics: Edge computing and IoT enable immediate data monitoring, making it suitable for time-sensitive applications such as predictive maintenance, asset tracking and remote monitoring. Whether it’s identifying early signs of equipment failure or adjusting environmental controls for smart buildings, decisions can be made the moment data is collected. This improves a company’s operational efficiency, safety and responsiveness.
Enhances data security: One of the core benefits of edge computing with IoT devices is its ability to boost data security. By processing regulated data locally, businesses reduce the risk of exposing data during cloud transmission. Edge devices also implement built-in encryption, authentication protocols and access control at the source. This layered security approach makes edge computing with IoT valuable in industries such as finance, healthcare and critical infrastructure, where data breaches can result in serious damage and regulatory penalties.
Leverages IoT machine learning: By integrating IoT with ML and AI, edge computing allows intelligent algorithms to operate directly at the source of the data. From smart homes that learn user preferences to industrial sensors that detect equipment defects, edge-based AI and ML process raw data and provide actionable steps. This is essential for time-sensitive smart data analysis and predictive modeling without cloud dependency.

Provides scalability solutions: As IoT networks expand, centralized processing can quickly become a bottleneck for cloud data transfers. Edge computing distributes the processing workload across multiple local nodes, making it easier to manage and scale infrastructure. This architecture allows organizations to add more devices and handle more data without compromising performance or overwhelming core systems, which is beneficial for growing edge computing capability with IoT ecosystems.
Boosts network reliability: Since most data processing occurs locally, the network becomes more resilient with IoT edge computing technology. This means computer systems continue to function even if cloud connectivity is lost or delayed. Network reliability is essential for mission-critical operations in industries like manufacturing, transportation and agriculture, where downtime is costly and continuous operations are a priority.

Eight Use Cases for Edge Computing in IoT

Edge computing with IoT technology is revolutionizing the way we interact with the world around us. Here are eight examples of how it’s being used in real-world applications:

1. Predictive Maintenance

Edge computing enables industrial IoT devices to continuously monitor equipment conditions at any time. By analyzing data like temperature, vibration and energy consumption at the source, businesses detect early signs of heavy equipment failure. This allows companies to schedule maintenance before breakdowns occur, reducing downtime and extending the machinery’s lifespan while streamlining operations.

2. Remote Monitoring for Jobsites

Edge computing enhances remote monitoring by enabling IoT devices to process and act on data locally. This is essential in hard-to-reach jobsites, such as oil rigs, rural cell towers and distant wind farms. Edge-enabled sensors flag discrepancies or safety risks immediately without waiting for cloud-based analysis, ensuring quicker response times and operational reliability.

3. Smart Grids

IoT in edge computing helps connect and modernize smart grids, which include power plants and substations. Smart grids enhance traditional electricity networks through the integration of digital technologies, sensors and software. This innovative approach enables precise and time-sensitive management of electricity supply and demand, resulting in reduced costs and improved grid reliability.

Edge-enabled smart meters and sensors placed throughout the grid collect real-time data, such as energy consumption, load balancing and equipment status. The data is processed locally, enabling improved decision-making for efficient energy distribution, fault detection and reduced utility costs.

4. Connected and Autonomous Vehicles

A standout application of edge computing in IoT is autonomous vehicles. Self-driving cars rely on local data processing to respond instantly to road conditions, traffic and obstacles. By analyzing input from onboard sensors such as cameras and light detection and ranging scanners, these vehicles make split-second decisions without depending on external networks. This enables efficient route optimization, improved fuel usage and enhanced safety, making edge computing instrumental in the development of smart transportation.

5. Health Care

Edge computing is transforming health care experiences through smart IoT devices. Wearables and remote monitoring systems gather data to track vital signs such as heart rate and transmit it securely for immediate analysis. Critical alerts can be generated locally on the device, allowing medical professionals to intervene right away. This setup supports telehealth services, chronic disease management and personalized care, even in clinics with limited bandwidth and connectivity.

6. Supply Chain Management

Edge computing in IoT delivers end-to-end visibility across supply chains. Radio frequency identification (RFID) tags, global positioning system (GPS) trackers and environmental sensors placed on goods and transport vehicles provide location and condition data. For example, it helps supply chains reroute shipments during delays or prompt alerts for temperature breaches, enabling more agile logistics and improved quality control.

7. Farming and Environmental Monitoring

IoT sensors deployed in agriculture and environmental science collect data on soil conditions, air and water quality and weather patterns. Real-time monitoring is possible without the need for constant connectivity. This leads to more efficient farming practices and proactive environmental management. Edge computing with IoT devices enables sensors to analyze areas locally and act instantly, such as activating irrigation systems or prompting air quality warnings.

8. Augmented Reality and Virtual Reality

IoT in edge computing significantly enhances augmented reality (AR) and virtual reality (VR) experiences by reducing latency and bandwidth strain. Improved responsiveness allows AR and VR tools to adapt instantly to the user’s physical environment and even function offline, providing more powerful applications that were once limited by cloud-based delays. Applications such as virtual product demos, AR-based maintenance instructions or immersive training simulations benefit from timely responsiveness when data is processed close to the user.

Five Types of Edge IoT Devices

Edge computing enhances a wide range of IoT devices for different purposes. Let’s take a closer look at some of these IoT devices:

1. Sensors

Depending on the operation, IoT sensors capture on-the-spot data such as temperature, pressure, humidity and motion. These devices gather localized data and process it at nearby edge nodes, enabling rapid decision-making without relying on a central cloud. For example, in manufacturing, vibration and thermal sensors detect early signs of equipment failure, prompting repair notifications to prevent breakdowns.

IoT-ready wireless connectivity solutions are also improving the performance and responsiveness of edge IoT devices with sensors. In smart homes, motion sensors adjust lighting dynamically, enhancing comfort and energy efficiency. This boosts applications that require timely data processing and control, including security systems and home automation.

2. Cameras

Smart cameras are evolving beyond capturing images. With edge computing in IoT, cameras process and analyze footage directly where it’s captured. This reduces latency, offloads network traffic and enables immediate action. For example, in a smart city, edge-enabled cameras detect unusual activity and trigger alerts without sending large video data to a central cloud.

In retail, cameras analyze shopping movements to optimize store layouts. At industrial sites, cameras use edge intelligence to monitor production lines and flag possible issues the moment they occur. Integrated with AI, smart cameras support facial recognition, license plate reading and crowd analytics, all with minimized data transfer.

3. Monitors

Edge-enabled IoT monitors are used to track key markers such as energy usage, air quality, fluid levels and machine performance. Whether it’s optimizing heating and cooling systems or flagging irregularities in water treatment plants, IoT monitors provide a critical layer of operational visibility.

In industrial settings, these devices combine sensor data with edge processing to deliver responsive insights that drive efficiency. For example, they enable predictive maintenance by identifying subtle signs of wear and tear. IoT monitors are also used in smart energy systems to identify consumption peaks and automatically adjust settings to minimize costs.

4. Drones

Drones integrated with edge IoT capabilities are transforming industries that require inspections, surveillance and deliveries in hard-to-reach areas. These airborne edge devices use cameras, sensors and onboard processors to collect and analyze data during flight without relying on cloud uploads.

In energy and utility sectors, drones inspect remote equipment like wind turbines or oil pipelines, relaying condition updates to technicians. In warehouses, drones assist in inventory checks and maintenance inspections. They also enable ultra-fast deliveries, bypassing traffic and reaching remote locations in emergencies.

5. Controllers

At the core of IoT in edge computing are controllers, which are smart systems that manage, automate and secure networks of connected devices. These controllers integrate sensor inputs, camera feeds and actuator outputs to make intelligent, localized decisions.

For example, a smart controller reads room temperatures from multiple sensors and instantly adjusts airflows. In industrial factories, energy management controllers monitor equipment and optimize power usage. Their ability to automate workflows and coordinate diverse devices makes them essential devices in homes, offices and industrial environments. With built-in security features and local processing power, IoT edge controllers help ensure reliability and minimize operational downtimes.

Connect With Synaptics Today for IoT Edge Device Design

Edge computing in IoT addresses the limitations of cloud-based IoT, enabling devices to overcome bandwidth, latency and security challenges. Partner with Synaptics for the latest IoT edge device design solutions, such as Synaptics Astra™ AI-native IoT processors powered by open software and outstanding wireless connectivity for a secure, multi-modal device edge.

Synaptics is a trusted leader in AI and edge technology, delivering reliable, high-performance solutions that make connected devices smarter and more efficient. We help industries create secure, intuitive digital experiences that transform how users engage with intelligent connected devices. We also provide customized multimedia compute solutions with a unified AI framework that rapidly deploys to edge devices. From smart homes to workplaces, we specialize in engineering exceptional experiences that drive the next wave of digital transformation.

Take advantage of the latest IoT edge computing technology. Contact us today to discover how our IoT edge device design solutions enhance your business.

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June 26, 2025

[Blog]

The Importance of Input Linearity for Optimizing RF Receiver Designs

Linearity of a receiver plays an important role in the overall performance of the system. It affects system-level parameters like link budget and receiver sensitivity. Designing high-performance RF receivers involves navigating the classic tug-of-war between two critical specifications: Noise Figure (NF) and input linearity, typically expressed as input third-order intercept point (IIP3). Lower NF improves sensitivity but often requires higher Gain. Conversely, high IIP3 supports better tolerance to interference but usually comes at the cost of reducing Gain.

This article explores the interaction between these specifications and how receiver linearity performance is critical to the overall system performance. We’ll also cover key concepts in intermodulation distortion, the difference in linearity optimization for transmitters versus receivers, and how tools like Error Vector Magnitude (EVM) can simplify the overall system-level trade-offs.

A Brief Review of Linearity

Linearity is the ability of the amplifier to produce an output signal that is a linear representation of the input signal. Having a good linear signal helps maintain signal integrity. Non-linearity can lead to distortion, intermodulation products and spectral regrowth – all of which can lead to a degraded signal quality in the system. Linearity performance is measured at medium signal levels, i.e., the system is not driven into compression, but intermodulation distortion is generated.

Second- and Third-Order Intercept & IMD Products

The second and third-order intercept-point (IP2 and IP3) products are widely used to benchmark the linear performance of an RF system. IIP3 refers to the hypothetical input power level where the power of third-order intermodulation products (IMD) equals the power of the fundamental output signal. To fully understand IP3, it’s important to know the difference between Input IP3 (IIP3) and Output IP3 (OIP3).

IIP3 is the signal power going into the device at the intercept point, while OIP3 is the signal power coming out of the device at that same point. Both values help us understand how an RF device performs when dealing with different input signal levels. Understanding the relationship between Input IP3 (IIP3) and Output IP3 (OIP3) can provide invaluable insights into the behavior of RF devices and systems. OIP3 can be calculated using the formula:

OIP3(dBm) = Gain(dB) + IIP3(dBm)

Before the IP3 point is reached, the device usually hits saturation. This means it can’t increase its output power in a straight linear line anymore, no matter how much you raise the input. The result is signal compression and distortion. See Figure 1.

Figure 1: IP2, IP3 and P1dB

Two-tone tests shown in Figure 2 can be performed to measure IP2 and IP3. Two closely spaced sinusoidal signals (Fundamental Tones) with equal power level input power (Pin) at frequencies f1 and f2 are applied, and the level of the second order IMD (IM2) at frequencies |f2 – f1|, 2f1 and 2f2 is then observed as Pin increases. For third-order intermodulation products, the two-tone frequencies are chosen such that the IM products fall inside the received signal band. For IP3, the IM3 components at |2f1−f2| and |2f2−f1| are observed as Pin increases.

Figure 2: Fundamental, IMD products.

The IP3 is a result of third-order IMD products, specifically |2f1 – f2| and |2f2 – f1| as shown above. The third-order intercept is a figure of merit that characterizes an RF receiver’s tolerance when subjected to multiple RF signals within the desired passband. These IMD products apply to both transmit and receive sides of the RF system. But optimizing each end of the system requires slightly different approaches.

As shown in Figure 3 below, the graph illustrates two distinct slopes that represent different regions of amplifier behavior. In the initial linear region, the output power increases proportionally with input power at a 1:1 slope, reflecting the ideal, distortion-free operation of the device where the fundamental signal dominates. This region indicates that the amplifier operates within its linear dynamic range, preserving signal integrity.

However, as the input power continues to rise, the device transitions into a non-linear region where intermodulation distortion products, particularly third-order (IMD3), begin to emerge. In this region, these distortion components increase at a much faster rate than the fundamental, with a characteristic slope of 3:1. This means that for every 1 dB increase in input power, the IMD3 components grow by 3 dB, quickly surpassing the desired signal and degrading overall performance. Understanding these two regions and their respective slopes is essential for accurately characterizing the linearity of RF components and for predicting how they will perform under real-world signal conditions.

Figure 3: IP3 with input power versus output power slopes.

Optimizing the Receiver via IIP3

Designing RF receivers with a focus on output linearity can be misleading, as it often focuses on Gain that ultimately compromises receiver performance.

While higher output Gain helps maximize output linearity (like one would do for a transmitter), it simultaneously degrades input linearity by making the system more susceptible to compression from smaller input signals, as shown in Figure 4. The data shows that optimal receiver performance requires a careful balance between input-referenced linearity and NF. Lower NF is achieved with higher front-end Gain, but this comes at the cost of reduced input linearity. Conversely, maximizing input linearity calls for lower overall Gain, which can raise the NF. Therefore, effective receiver design demands trade-offs between these parameters, so neither parameter is sacrificed excessively. Designers must avoid the transmitter-oriented mindset that more Gain is inherently better and instead select a Gain profile that optimally balances NF and IIP3 for the intended application.

Figure 4: Cascaded RF receiver parameter data comparison.

But why is the receiver linearity IIP3 so important? It is because it directly impacts the receiver’s ability to handle multiple signals and prevent IMD. A high IIP3 in a receiver design indicates the receiver is more linear and therefore can better separate designed signals from unwanted IMD products.

It is important for system designers to understand the influencing factors such as Gain, NF, OIP3 and IIP3. Balancing the trade-offs between these parameters is critical to ensuring the overall system is optimized.

EVM and the Bathtub Curve Explained

 The manifestation of Error Vector Magnitude (EVM) (a measure of the difference between an ideal signal and the actual received signal in digital communication systems) can come from many different sources. The EVM figure of merit is typically a combination of noise and distortion. As shown in Figure 5, at lower power levels, noise tends to dominate, and the EVM increases as we lower the power. At high power levels, distortion tends to dominate, and we observe increased EVM as we increase power levels. In the middle, we often see the minimum EVM, and so the overall shape resembles a bathtub curve. As such, the EVM bathtub curve becomes an essential visualization tool for system-level optimization, offering a comprehensive view of how different impairments jointly impact overall performance.

And yes, we’re keeping an eye on the next wave, too. AI-powered radar? Ultra-wideband-enabled machine vision? BAW and SAW filters that are smaller, faster and even smarter than the systems they serve? That’s all in our wheelhouse.

Figure 5: Bathtub EVM curve (EVM vs. Operating Power).

While most frequency devices exhibit low phase noise below 2 GHz, this advantage diminishes at higher frequencies and wider signal bandwidths, where integrated phase noise can increase substantially and degrade system performance. This challenge is particularly acute in millimeter wave (mmWave) systems operating above 20 GHz, where elevated phase noise directly contributes to higher EVM.

To address this, system-level design often begins with cascade analysis, using low-level performance metrics of individual components to estimate overall system behavior. In these situations, EVM serves as a highly practical system-level performance metric, enabling engineers to consolidate the effects of multiple impairments, such as noise, non-linearities and phase noise, into a single optimization target. Rather than tuning several individual parameters, designers can focus on minimizing the root-mean-square (rms) EVM value for an efficient and effective design process. This optimization is visually aided by the EVM bathtub curve.

The System Advantages of Optimized Receiver Linearity

High linearity in an RF receiver is critical for maintaining robust system performance in the presence of strong or closely spaced signals. One of the primary benefits of high receiver linearity is an expanded spurious-free dynamic range (SFDR), which quantifies the usable signal range before intermodulation products rise above the noise floor. SFDR is directly proportional to the IIP3 and inversely proportional to the noise floor (No), with the relationship defined by this formula.

SFDR = (2/3) × (IIP3 − No)A higher IIP3 indicates better tolerance to interference, as third-order intermodulation (3IM) spurs decrease by approximately 2 dB for every 1 dB increase in IIP3. However, achieving high linearity often comes at the expense of a higher NF, presenting a well-known design trade-off. Systems that support adjustable receiver input linearity—based on real-time assessment of incoming signal strength—offer the most flexibility. In RF environments with low interference, higher receiver Gain can be used to minimize NF, even though this reduces input linearity. Conversely, in high-interference scenarios, reducing Gain improves input linearity, allowing the receiver to better tolerate strong unwanted signals. For receivers, it’s important to focus on input linearity rather than output metrics like OIP3, as high OIP3 can misleadingly suggest good receiver performance while input signal handling capability may be poor.

Conclusion

In summary, optimizing RF receiver performance demands a careful balancing act between input linearity and NF, as both parameters critically influence system sensitivity, interference tolerance and overall signal fidelity. While conventional design approaches may prioritize output metrics like OIP3 or default to maximizing Gain, this can lead to suboptimal trade-offs, particularly in dynamic RF environments. A focus on IIP3, supported by tools like EVM analysis and cascade modeling, enables more accurate predictions of receiver system behavior and better-informed design choices. Whether operating in low-interference conditions that favor higher Gain and lower NF or in high-interference scenarios that require improved linearity through Gain reduction, adaptive receiver architectures that dynamically adjust to their signal environment offer the greatest design flexibility. By embracing a system-level perspective that accounts for all impairments, including intermodulation, compression, noise and phase distortion, engineers can achieve receiver designs that are both robust and efficient across a wide range of use cases.

Additionally, you can find more interesting collateral on this subject by visiting our Qorvo Design Hub for a rich assortment of videos, technical articles, white papers, tools and more.

For technical support, please visit Qorvo.com or reach out to Technical Support.

About the Authors

Our authors bring a wealth of technical expertise in developing and optimizing high-performance RF receiver solutions and systems. With a deep understanding of customer needs and industry trends, they collaborate closely with our design teams to drive innovation and deliver cutting-edge solutions that support industry-leading products.

Thank you to our main contributors of this article: David Corman (Chief Systems Architect) and David Schnaufer (Corporate, Technical Marketing Manager) for their contributions to this blog post, ensuring our readers stay informed with expert knowledge and industry trends.

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June 26, 2025

[Blog]

Those Left Behind: Living in an Apartment Building Shouldn’t Mean Second-Rate Broadband.

Dave’s Thoughts: Those Left Behind: Living in an Apartment Building Shouldn’t Mean Second-Rate Broadband.

Apartment complexes, large and small, are still falling behind when it comes to modern broadband connectivity. Many buildings haven’t had an Ethernet upgrade since they were first constructed. While there has been an emphasis on higher speeds to the single-family home, MDUs haven’t received the same attention.
Given the average broadband speed has exploded from a few Mbps to over 100Mbps in just the last ten years, it is safe to say most buildings are not meeting today’s demands.
This is compounded by legacy cable deployments. Today’s tenants expect connectivity in places like the laundry room, by the pool, in common areas, and throughout the property. Yet many of these locations have no infrastructure at all.

So, what are your options?

Squeeze more bandwidth out of your existing cable plant
If it’s twisted pair, maybe more advanced modems can help, but they are hugely impacted by the quality of the copper and any taps, splitters or combiners on a given strand.
Re-wire your entire building
Clearly this involves time, money and massive tenant disruption. And what if your floor-to-floor riser is full, or not in the right place? Drill baby drill through that cement. That means more time, more money and more permitting.
Deploy a wireless ethernet backbone to quickly and easily upgrade your infrastructure
No construction. No drilling. No permits. No asbestos headaches. Just quick deployment and scalable, reliable connectivity to meet today’s demands

After Covid everyone was confronted with how much we all rely on ubiquitous high-speed connectivity and the integration of IoT into our daily lives. For single-family homes, the market responded with urgency and innovation. But in MDUs, tenants are still at the mercy of the property owner.

Now is the time for building owners and management companies to seize the opportunity to modernize their properties with wireless Ethernet backbone systems—without the cost, disruption, or delays of traditional rewiring. This is more than just an upgrade; it’s a competitive edge. Fast, reliable broadband is no longer a perk—it’s a priority. Invest in your infrastructure today to retain residents, attract new ones, and future-proof your property.

Read full release

June 26, 2025

[Blog]

The Best Content Filter Software Checklist: A Buyer’s Guide to DNS-Level Protection

Staying Ahead with Smarter Web Filtering

Across every industry and network environment, content filtering isn’t just a matter of productivity, it’s a front line of defense. From malware and phishing to compliance risks and productivity drains, the threats are real, and the stakes are high.

That’s why choosing the best content filtering software for your environment is such an important decision. The right tool helps protect your users without slowing them down, and it should work seamlessly across all your networks, from remote offices to school campuses to distributed client environments.

More organizations are turning to DNS-level filtering for its unique blend of speed, simplicity, and scalability. Unlike traditional firewall or endpoint-based solutions, DNS filtering blocks unwanted content before the connection even happens.

What is Content Filtering & Why DNS-Level is Superior

Content filtering is the practice of blocking access to dangerous, inappropriate, or non-compliant content on the internet. Whether you’re protecting students, employees, or guest Wi-Fi users, the goal is to reduce exposure to risk while maintaining a productive online environment.

Common targets for filtering include:

Malware and ransomware
Adult or explicit content
Hate speech and extremist sites
Proxy and VPN services
Bandwidth hogs like video streaming and gaming platforms

There are several ways to implement content filtering:

Client-based filtering: Installed locally on each device
Gateway/firewall filtering: Operates at the network edge
Server-based filtering: Centralized on internal infrastructure
DNS-level filtering: Works at the DNS resolution layer before a connection is made

So why is DNS filtering becoming the preferred choice?

It blocks threats before the connection is even established
It’s lightweight and doesn’t slow down devices or networks
It can be agentless, meaning no software install is needed
It’s ideal for remote, hybrid, or distributed environments

What to Look for in the Best Content Filtering Software?

If you’re in the market for a content filtering solution, you probably have no shortage of options. But not all content filtering software is created equal and some may lack the intelligence, speed, or usability you actually need.

Here are the essential features and capabilities that define top-tier content filtering software today:

✔️ Real-Time Threat Detection

Modern threats evolve quickly. Your content filter should detect and block threats using AI and machine learning in real time—even if the domain hasn’t been classified before.

DNSFilter’s approach to real-time threat detection is rooted in intelligent automation. Our AI is continuously trained to identify deceptive sites before they can cause harm, ensuring that threats are neutralized before they even reach your network.

Learn how AI is transforming modern cybersecurity in our deep dive on artificial intelligence in threat detection.

✔️ Broad and Customizable Category Controls

Effective filtering goes beyond just adult content. You should be able to block categories like social media, cryptocurrency mining, and phishing, and customize policies for your unique risk profile.

DNSFilter has 50+ threat and content categories with customizable rules.

✔️ Granular Policy Management

Granularity matters. Can you apply different filtering policies to different user groups, departments, or IP ranges?

DNSFilter gives organizations precise control over what to block and how, informed by evolving best practices and real-world examples shared in our live policy-building webinar.

✔️ Flexible Deployment Options

Whether you want to deploy at the network level, on individual devices, or through a hybrid model, your software should be flexible enough to match your setup.

DNSFilter offers agentless network protection as well as device and user-level filtering.

✔️ Low Latency Performance

Content filtering shouldn’t slow down your users or affect DNS resolution speed.

DNSFilter is powered by our global dual anycast network for fast, seamless resolution.

✔️ Auto-Updates and Intelligence Feeds

The threat landscape changes fast. Be sure to choose a platform that stays updated without manual intervention.

DNSFilter leverages advanced AI and diverse threat intelligence sources to dynamically update its models, delivering real-time protection against constantly evolving threats.

✔️ Support for Multiple Languages

If you operate globally or in multilingual environments, your filtering engine should recognize and block malicious content in many languages.

DNSFilter supports domain categorization in 20 major world languages, includes localized block pages for end users, and allows management of internationalized domain names (IDNs) using Punycode, ensuring a consistent and effective filtering experience no matter the language.

✔️ Clear Reporting and Insightful Dashboards

Visibility into filtering activity, block rates, and user behavior is critical.

DNSFilter offers real-time dashboards and exportable reports for compliance and visibility.

✔️ Industry Compliance Support

If you’re in a regulated industry (like education or healthcare), your filter should help you stay compliant.

DNSFilter provides tailored solutions for healthcare, education, and MSPs to help them meet regulations such as CIPA compliance and HIPPA regulations.

✔️ White Label Options and Responsive Support

For MSPs or distributed teams, look for flexible branding and access to real-time support.

DNSFilter goes beyond basic support with a comprehensive MSP Partner Program that includes co-branded marketing resources, multitenant management, custom pricing, and flexible deployment options. Combined with 24/7 technical support and white label functionality, it’s a purpose-built solution for MSPs that want to grow their service offerings without increasing overhead.

Explore these core DNSFilter features and more →

Matching Architecture to Your Needs

Choosing the right content filtering architecture is just as important as choosing the right features, it affects how easily your solution can scale, how much oversight it requires, and how well it fits into your existing infrastructure.

There are different ways to deliver content filtering, and your organization’s size, infrastructure, and technical maturity will help determine the best fit:

Client-based: Installed locally on endpoints. Great for individual control and for remote organizations.
Server-based: Centralized, but requires hardware and on-prem management.
Gateway-based: Hardware-heavy; good for traditional networks.

Cost is About More than Licensing

Pricing is often the first point of comparison, but cost alone rarely tells the full story. When evaluating content filtering solutions, organizations should consider the total cost of ownership (TCO)—a broader picture that accounts for every factor impacting long-term value and efficiency.

TCO includes not only your subscription or licensing fees, but also:

How long it takes to deploy across your organization
The level of IT resources needed for ongoing management
The cost of missed threats or delayed responses
Hidden expenses tied to updates, training, or hardware maintenance

A solution that looks inexpensive upfront may end up costing more in staff hours or operational overhead. Conversely, software that streamlines setup, automates updates, and offers reliable support can generate savings far beyond the initial quote.

DNSFilter was designed with these efficiencies in mind, offering fast, hardware-free deployment, automatic intelligence updates, and intuitive dashboards that reduce time spent on administration.

Choose Software That Works for You

The best content filtering software doesn’t just block harmful content. It works the way your organization works.

Look for a solution that:

Blocks threats in real time
Case Study: Oetker Collection relies on DNSFilter to protect users
Reduces manual admin overhead
Case Study: Tech Team Solutions saves time with DNSFilter
Lets you tailor policies to your environment
Works at the speed of your network
Is easy to roll out and manage from day one

DNSFilter was built to be the modern standard for web filtering. Whether you’re protecting ten users or ten thousand, it checks all the boxes.

Want a quick-reference checklist for your buying process? Download our free PDF: The DNS Content Filtering Software Buyer’s Checklist

Read full release

June 26, 2025

[Blog]

Silicon Labs Secure Vault™ — Like Fort Knox, but for Your IoT Devices

Let’s be honest, the average IoT device today knows more about you than your coworkers do — and probably listens better, too. But if that device isn’t properly secured, it could leave your sensitive data vulnerable. Enter Silicon Labs Secure Vault — the digital security system your smart devices deserve (and really need).

What Is Secure Vault IoT Security Framework?

Secure Vault is Silicon Labs’ built-in security framework for our wireless chips and MCUs. It’s a collection of hardware and software features designed to keep your connected devices safe from tampering, snooping, and other forms of digital troublemaking. Certified to PSA Level 3, Secure Vault provides locked-down protection at the silicon level so security isn’t just an afterthought.

Key Features of Secure Vault Technology (A.K.A. Why Hackers Will Hate You)

Secure Boot with Root of Trust
Secure Boot is the firmware version of “no ID, no entry.” Your code must be signed and verified before the device allows it to run. If something looks fishy, it shuts down before it even starts.
Secure Debug
Secure Debug is helpful when developing, but it’s also one of the easiest ways to poke around inside a device. Secure Vault lets you lock that door — and only unlock it under very specific (and secure) conditions.
Tamper Detection
If someone physically tampers with the chip, Secure Vault’s Anti-Tamper feature notices and reacts. It can wipe sensitive data, shut down access, or basically throw up its hands and say, “Not today!”
Hardware-Accelerated Crypto
Need secure communication, encrypted storage, or random number generation? Secure Vault handles all of that with built-in hardware support. It’s fast and efficient for doing your math.
Secure Key Storage and Management
Secure Vault’s Secure Key Management stores your cryptographic keys in a locked-down, isolated area of the chip. The keys are stored, wrapped in a flash, and never leave the vault unprotected. Think of it as a digital safe that doesn’t lose the combination.
Unique Device Identity and Attestation
Each chip comes with a unique, unforgeable identity. With Secure Attestation you can trust it’s your device and not a clever fake trying to sneak onto your network.

Who Is IoT Device Security For?

If you’re building any kind of connected IoT device — whether it’s in a smart home, factory, hospital, or just something people carry in their pockets — Secure Vault is for you. It’s especially useful in:

Home automation and consumer electronics
Industrial IoT and remote monitoring
Smart meters and infrastructure
Medical devices and wearables

Basically, if the device handles data, controls anything important, or connects to the internet, it needs real security. And Secure Vault delivers that in a way that’s efficient, scalable, and standards-compliant.

Build Trustworthy IoT Devices with Secure Vault

In a world full of connected gadgets, it’s not enough to just work — IoT devices also need to be trustworthy. Secure Vault makes that possible by protecting your data, your firmware, and your device’s identity right at the hardware level. It’s proactive protection, not reactive damage control.

So if you’re developing an IoT device, don’t wait until the last minute to bolt on security. With Secure Vault, you get it baked right into the chip — and that’s a much smarter way to build trust in the connected future.

Read full release

June 26, 2025

[Blog]

Wi-Fi 7 vs Wi-Fi 8 – what’s the difference?

Wi-Fi 7 is currently the best specification available as of 2025, although Wi-Fi 8 is already in development and is expected to launch officially in 2028. While several years of research and development are still ahead, and the exact specification has not yet been finalized, we do know that Wi-Fi 8 will prioritize ultra-high reliability (UHR).

Why is this important?
Wi-Fi has become the most viable alternative to traditional wireline connectivity solutions such as Ethernet and coaxial cables. It offers users the convenience of cable-free flexibility for many devices, such as laptops and televisions, without the limitations of physical connections. Although the peak throughput of Wi-Fi often exceeds the requirements of many applications, users may occasionally experience intermittent jitter during streaming or video conferencing.

This suggests that Wi-Fi is still susceptible to environmental factors that affect signal quality and consistency. In many residential environments, achieving cable-equivalent reliability remains a significant challenge for Wi-Fi technology.

The wireless spectrum is becoming increasingly congested, and Wi-Fi 8 must be designed to integrate more effectively with cellular networks for internet access. A 2022 Cisco study estimated that over 50% of global mobile data traffic was offloaded to Wi-Fi networks, highlighting the important role Wi-Fi plays in the broader cellular ecosystem.

The same three frequency ranges—2.4 GHz, 5 GHz, and 6 GHz—will be available in Wi-Fi 8, so it must continue to improve spectrum utilization to deliver greater network throughput and lower latency. This is especially critical as the number of wireless devices and their data demands continue to grow rapidly.

More complex networks also require better management. Mesh networks that cover large areas in homes, businesses, and public spaces are becoming increasingly common. Wi-Fi 8 must improve the coordination of multiple Access Points (APs), optimize how they handle all connected devices within their coverage areas, and enhance the way overlapping networks manage interference.

As you can see in the table below, despite Wi-Fi 7 and Wi-Fi 8 sharing many high-level similarities, digging in further unveils many new technologies being proposed to improve the use of wireless spectrum already available, enhancing connection efficiency and reliability, especially in congested network environments that frequently exist in everyday life.

Read our two Wi-Fi 8 white papers to learn more about the new technologies listed below, and the specific scenarios they benefit:

Technology	Wi-Fi 7	Wi-Fi 8
Availability	Now	~2028
Top Speed	Up to 36Gbps	>36Gbps
Bands	2.4GHz, 5GHz, 6GHz	2.4GHz, 5GHz, 6GHz
Channel BW/Modulation	Up to 320MHz, 4096 QAM	Under investigation
MLO	Improved with MediaTek Smart-Link Dispatching	Improved for further spectral efficiency
AI-enhanced Networking	No	Potentially real-time network optimizations based on user connectivity habits
MIMO	Standard	Improvements in spatial streams, beamforming, and multi-user support
Mesh Networking	Standard	Improved with multi-AP co-ordination
Power Efficiency	Standard	Improved
Connectivity Range	Standard	Improved
Dynamic Sub-channel Operation (DSO) / Non-Primary Channel Access (NPCA)	No	Yes
Distributed Resource Units (dRU)	No	Yes
Coordinated Spatial Reuse (Co-SR)	No	Yes
Coordinated Beamforming (Co-BF)	No	Yes
Dynamic Sub-channel Operation (DSO)	No	Yes
Modulation and Coding Schemes (MCS)	Standard	Improved (better data-rate)
Non-Primary Channel Access (NPCA)	No	Yes
In-Device Coexistence (IDC)	No	Yes
TXOP Preemption	No	Yes
High Priority EDCA (HIP EDCA)	No	Yes

Read full release

June 26, 2025

[Blog]

Unlocking Real-Time Guest Feedback: How to Maximize GoZone WiFi’s Survey Builder

In today’s experience-driven marketplace, understanding guest sentiment isn’t just an advantage—it’s a necessity. With GoZone WiFi’s new Survey Builder, businesses can now capture actionable feedback directly from their WiFi captive portal or website, delivering insights when they matter most.

Why Real-Time Feedback via Guest WiFi Matters

Offering guest WiFi is no longer just a perk—it’s a powerful channel for engaging customers and gathering valuable data. By integrating surveys into your captive portal or splash page, you can:

Capture feedback at the moment of experience
Address guest concerns instantly
Uncover trends in satisfaction and loyalty
Make informed improvements to your services

Key Features of GoZone WiFi’s Survey Builder

1. Easy-to-Use Customization

With a drag-and-drop interface, you can create branded surveys tailored to your venue’s needs. Choose from multiple question types—ratings, rankings, open-ended responses—and update your surveys anytime, no technical expertise required.

2. Seamless Integration with Splash Pages and Captive Portals

Deploy surveys directly on your WiFi splash page or captive portal, ensuring every guest sees your questions before connecting. Show different surveys to new versus returning guests for more targeted feedback.

3. Smart Conditional Logic

Guide guests through dynamic question flows based on their answers. This means you can dig deeper into specific issues or opportunities, gathering more meaningful insights.

4. Multi-Language Support

Reach a diverse audience by offering surveys in multiple languages, making your guest WiFi experience inclusive and welcoming.

5. Embed Surveys Anywhere

Besides the captive portal, you can embed surveys on your website, landing pages, or share them via email and SMS campaigns—maximizing your response rates and WiFi marketing reach.

6. Actionable Reporting and Analytics

Visualize guest feedback with real-time charts and graphs. Filter results by date or location, and export data for deeper analysis—helping you spot trends and act fast.

Practical Applications for a Survey Builder in Your Business

Event Feedback: Gather opinions from guests during or after events hosted at your venue.
Menu or Service Testing: Poll guests on new menu items or services right from the WiFi splash page.
Compliance & Safety Checks: Assess perceptions of cleanliness and safety via the captive portal as guests log in.
Loyalty Program Insights: Learn what rewards or perks matter most to your regulars.
Staff Recognition: Identify standout team members through direct guest feedback.

Supercharge Your WiFi Marketing Strategy

GoZone WiFi’s Survey Builder isn’t just about collecting feedback—it’s a vital part of your WiFi marketing toolkit. By connecting with guests through your splash page and captive portal, you turn every WiFi login into an opportunity to build loyalty, improve services, and drive revenue.

Ready to take your guest WiFi to the next level? Start using the Survey Builder to transform your splash page and captive portal into powerful feedback and marketing engines.

Learn more or request a demo here: GoZone WiFi Survey Builder

Read full release

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Wi-Fi 7 vs Wi-Fi 8 – what’s the difference?

Unlocking Real-Time Guest Feedback: How to Maximize GoZone WiFi’s Survey Builder