Qualcomm’s engineering journey to evolve RF exposure management for modern wireless performance
When Qualcomm Technologies pioneered a new way to manage RF exposure through real-time averaging, it wasn’t simply about a new product. Behind this breakthrough development is a story about years of vision, collaboration and technical rigor that paved the way for a new era in RF exposure management. Spanning nearly a decade, the journey to develop this new technology — Time-Averaged Specific Absorption Rate (SAR), also known as TAS — stands as another example of our relentless drive to develop the best wireless experience possible and deliver maximum benefit to industry and consumers.
Developing TAS required years of systematic effort to redefine how wireless devices manage RF exposure. Our expertise in mobile gave us a unique line of sight to where the industry was headed, and we were pursuing novel ways to enable the growth required for better uplink performance.
The seeds of TAS were planted in 2012, when our engineers and scientists recognized a looming challenge: Legacy RF exposure management was holding back the promise of next-generation wireless technologies. The team saw that RF exposure management using static, capped peak power limits were stifling innovation and making it harder for device makers to deliver the performance users were demanding. Thus began a decade of dialog, research, testing and validation, culminating in a breakthrough solution that set a new standard for the industry.
This effort unfolded through several key milestones:
In 2012, we presented the concept of real-time averaging for RF exposure management to the FCC, initiating a dialogue that would shape future compliance procedures. We worked closely with regulators worldwide, advocating for the adoption of time averaging as a scientifically sound and practical approach to Regulatory compliance.
Between 2013 and 2015, Qualcomm Technologies developed and tested prototype algorithms and devices, including the first sub-6 GHz hand-held device. These efforts demonstrated the feasibility of real-time power averaging and provided critical data for regulatory review.
In 2016, we released to the regulators the first version of SAR measurement procedures for validating TAS algorithms. Since then, the test cases and procedures for regulatory certification of wireless devices enabled with TAS RF exposure management have been updated to validate enhancements and used to enable other TAS providers to enter the market.
As wireless technology has evolved, so have Qualcomm Technologies’ solutions. In 2018, our engineers expanded the algorithms to support 5G mmWave, addressing new challenges in device complexity and simultaneous multi-radio transmissions.
To ensure robust validation, Qualcomm Technologies partnered with leading compliance labs and third-party test houses worldwide. These collaborations helped to harmonize TAS testing procedures and meet the compliance test and regulatory certification needs of OEMs for on-time launch of their commercial products.
In 2018, the FCC first approved time averaging procedures for sub-6 GHz and mmWave devices, a direct result of our sustained engagement and technical advocacy. This enabled OEMs to design for compliance using time averaging, rather than relying on legacy power back-off methods.
Qualcomm invested significant resources in educating OEMs, operators, and labs about the new approach. Our teams provide training, consulting and technical support to accelerate industry adoption and ensure consistent, reliable compliance. To date, we have on-boarded 25 compliance labs in 8 different countries with 10 more labs in progress.
In April 2019, Qualcomm Technologies launched TAS as a commercial product, branded Smart Transmit, as an optional feature in the first 5G-enabled smartphones. Smart Transmit was more than a product introduction; it was the culmination of years of hard work, technical excellence and industry-wide collaboration. The technology was validated, the ecosystem was ready and the industry was aligned on the benefits of dynamic RF exposure management.
In addition to cellular, today Smart Transmit includes Wi-Fi, Bluetooth® wireless technology, UWB, RFID and satellite radios. The rise of AI, XR and an ever-increasing number of wearables are placing even more importance on the efficiency and capacity of uplink transmission as devices send more and more data to the cloud for real-time learning and personalization.
The principles and methodologies developed during this journey paved the way for other OEMs and set new benchmarks for compliance and performance. The groundwork laid between 2012 and 2019 enabled not just a technical solution, but a transformation in how the industry approaches RF exposure compliance and device performance.
Qualcomm’s leadership in developing TAS reflects the strength of our research and development teams, our engineering ingenuity and our commitment to solving the hardest problems in wireless.
Qualcomm’s engineering journey to evolve RF exposure management for modern wireless performance
When Qualcomm Technologies pioneered a new way to manage RF exposure through real-time averaging, it wasn’t simply about a new product. Behind this breakthrough development is a story about years of vision, collaboration and technical rigor that paved the way for a new era in RF exposure management. Spanning nearly a decade, the journey to develop this new technology — Time-Averaged Specific Absorption Rate (SAR), also known as TAS — stands as another example of our relentless drive to develop the best wireless experience possible and deliver maximum benefit to industry and consumers.
Developing TAS required years of systematic effort to redefine how wireless devices manage RF exposure. Our expertise in mobile gave us a unique line of sight to where the industry was headed, and we were pursuing novel ways to enable the growth required for better uplink performance.
The seeds of TAS were planted in 2012, when our engineers and scientists recognized a looming challenge: Legacy RF exposure management was holding back the promise of next-generation wireless technologies. The team saw that RF exposure management using static, capped peak power limits were stifling innovation and making it harder for device makers to deliver the performance users were demanding. Thus began a decade of dialog, research, testing and validation, culminating in a breakthrough solution that set a new standard for the industry.
This effort unfolded through several key milestones:
In 2012, we presented the concept of real-time averaging for RF exposure management to the FCC, initiating a dialogue that would shape future compliance procedures. We worked closely with regulators worldwide, advocating for the adoption of time averaging as a scientifically sound and practical approach to Regulatory compliance.
Between 2013 and 2015, Qualcomm Technologies developed and tested prototype algorithms and devices, including the first sub-6 GHz hand-held device. These efforts demonstrated the feasibility of real-time power averaging and provided critical data for regulatory review.
In 2016, we released to the regulators the first version of SAR measurement procedures for validating TAS algorithms. Since then, the test cases and procedures for regulatory certification of wireless devices enabled with TAS RF exposure management have been updated to validate enhancements and used to enable other TAS providers to enter the market.
As wireless technology has evolved, so have Qualcomm Technologies’ solutions. In 2018, our engineers expanded the algorithms to support 5G mmWave, addressing new challenges in device complexity and simultaneous multi-radio transmissions.
To ensure robust validation, Qualcomm Technologies partnered with leading compliance labs and third-party test houses worldwide. These collaborations helped to harmonize TAS testing procedures and meet the compliance test and regulatory certification needs of OEMs for on-time launch of their commercial products.
In 2018, the FCC first approved time averaging procedures for sub-6 GHz and mmWave devices, a direct result of our sustained engagement and technical advocacy. This enabled OEMs to design for compliance using time averaging, rather than relying on legacy power back-off methods.
Qualcomm invested significant resources in educating OEMs, operators, and labs about the new approach. Our teams provide training, consulting and technical support to accelerate industry adoption and ensure consistent, reliable compliance. To date, we have on-boarded 25 compliance labs in 8 different countries with 10 more labs in progress.
In April 2019, Qualcomm Technologies launched TAS as a commercial product, branded Smart Transmit, as an optional feature in the first 5G-enabled smartphones. Smart Transmit was more than a product introduction; it was the culmination of years of hard work, technical excellence and industry-wide collaboration. The technology was validated, the ecosystem was ready and the industry was aligned on the benefits of dynamic RF exposure management.
In addition to cellular, today Smart Transmit includes Wi-Fi, Bluetooth® wireless technology, UWB, RFID and satellite radios. The rise of AI, XR and an ever-increasing number of wearables are placing even more importance on the efficiency and capacity of uplink transmission as devices send more and more data to the cloud for real-time learning and personalization.
The principles and methodologies developed during this journey paved the way for other OEMs and set new benchmarks for compliance and performance. The groundwork laid between 2012 and 2019 enabled not just a technical solution, but a transformation in how the industry approaches RF exposure compliance and device performance.
Qualcomm’s leadership in developing TAS reflects the strength of our research and development teams, our engineering ingenuity and our commitment to solving the hardest problems in wireless.
In just a few years, AI has leaped from research labs to the real world. As this momentum accelerates, AI is no longer a vision, but a reality. One which is not confined to the cloud, instead quickly moving to the edge. Generative AI, agentic AI and physical AI are now being embedded directly into the devices and infrastructure that power our world. This imminent shift changes the game, especially for teams moving from prototype to production — success depends not on training the largest models, but on deploying AI that is efficient, secure and scalable where it matters the most. At Qualcomm Technologies, our edge AI processors portfolio is purpose-built for this future, designed to enable intelligence across industries, from early validation to scaled deployment.
That’s the difference between edge AI in theory and edge AI in production. Edge AI is where artificial intelligence matures from only running in centralized data centers to distributed, real-world deployments. Real-time decisions can’t wait for the cloud. Sensitive data can’t risk exposure. Billions of devices can’t rely on constant connectivity. Purpose-built edge AI processors solve all these challenges, embedding intelligence directly into the devices and AI appliances.
Our journey in industrial and embedded IoT began many years ago, culminating in the launch of our most advanced, industrial-grade Dragonwing IQ Series processors in 2024, including the Dragonwing IQ6, IQ8 and IQ9. These processors are designed to bring AI to the edge across factories, warehouses and infrastructure. In 2025, we expanded this portfolio with the Dragonwing IQ-X Series, powering the next generation industrial PCs running Microsoft Windows. Most recently at CES 2026, we unveiled our flagship Dragonwing IQ10 Series of industrial processors, marking our entry into advanced robotics.
Together, this comprehensive portfolio is designed to enable us to scale edge intelligence without forcing teams to re-architect as they grow across every industrial vertical and tier, supporting AI processing from 1 TOPS for sensor-level intelligence to 350 dense TOPS for complex vision and decision-making tasks. For customers requiring even greater AI capability, our AI on-premises appliances deliver peta-flop-class performance and can run 200B-parameter models on a single system. This enterprise-grade performance keeps data and processing local, which is an important capability for industrial applications with strict security, privacy, reliability and latency requirements.
At Embedded World 2026 in Nuremberg, we’re bringing more than 20 demonstrations powered by our industrial processors and AI on-prem appliances. These demos reflect the momentum we’ve built turning prototypes into deployable systems to drive digital transformation across industries, in close collaboration with our partner ecosystem, to make AI real and scalable. This theme is explored across distinct focus areas including developer enablement and solutions that span from commercial and industrial to robotics. If you are at the show, be sure to drop by our booth in Hall 5, Stand #5-161. If not, let me spotlight a selection of these areas to illustrate how edge AI is delivering value across multiple verticals and use cases.
Powered by the Dragonwing IQ8-Series processor, the Arduino VENTUNO Q combines Arduino’s developer-friendly ecosystem with industrial-grade edge AI performance of up to 40 dense TOPS. This new platform democratizes access to production-ready AI development, enabling engineers to rapidly build and deploy edge AI systems. To showcase its capabilities, we have multiple demos on display at the Qualcomm and Arduino booths, including an interactive smart mirror, an engaging chatbot, an AMR and more.
For the broader industrial use cases, we are bringing several demos in coordination with partners to highlight how connected intelligence can help enhance operational efficiency, safety and productivity. Below, let me spotlight four important use cases:
Collaborating with Qt Group and Edge Impulse, we are making great strides aimed at radically improving the development experience for AI-driven industrial software. Our demonstration exhibits distributed edge AI on multiple interconnected manufacturing sites. Powered by Dragonwing IQ9, the demo showcases four AI applications — visual defect detection, equipment fault detection, worker safety and AI factory assistant — with multiple AI models operating simultaneously. Additionally, we enabled Dragonwing IQ6-based Human Machine Interface (HMI) devices running on-device face detection for operator access and AI tethering with Dragonwing IQ9 to leverage AI factory assistant remotely. With AI tethering, operators using Dragonwing IQ6-based HMIs are not limited by the on-device AI and simple monitoring of the data, but they are able to leverage the power of Dragonwing IQ9 to help get prescriptive responses on the defects and manufacturing lines.
By analyzing visual data in real time, edge AI can be trained to detect defects, variations and anomalies early on the manufacturing line, improving production yield, reducing waste and helping to ensure consistent quality. In collaboration with CODESYS, we are demonstrating an industrial PC for PCB defect detection, running Windows on Dragonwing IQ-X that supports EtherCAT, motor control, image processing and AI chatbot. It also demonstrates Qt for user interface.
PLC and HMI consolidation
We demonstrate consolidation of PLC and HMI functions on a single Dragonwing IQ9 platform through virtualization. Here, Real-Time Linux is used to run CODESYS for PLC application enabling low-jitter motor control over EtherCAT, while virtualized Windows HMI on the same Dragonwing IQ9 platform shows the data for monitoring and control. This consolidation of various functions and devices over single platform through virtualization is designed to give customers flexibility to implement, scale, add and modify capabilities as the factory evolves. Additionally, consolidation can lead to reduced hardware and maintenance costs.
A core challenge in industrial networking is connecting a diverse set of sensors and devices that support different connectivity standards. Our Dragonwing IQ9 based industrial gateway is purpose-built to address this, supporting 5G, Wi-Fi, Bluetooth, LoRa, Ethernet and other communication standards, while designed to deliver powerful edge AI for sensor fusion and other edge AI workloads. Our demo aims to show how on-device vision processing can support worker safety, integrate with industrial SCADA systems to enable real-time production monitoring, and support simplified device management.
Edge AI redefines enterprise productivity and operations when it’s designed to deploy consistently at scale. With cutting-edge VLMs and LLMs, organizations can personalize interactions, improve efficiency and strengthen security, all while keeping data closer to where it’s generated. Here are a few demos that highlight edge AI in the commercial environment:
VLMs combine computer vision with natural‑language reasoning to unlock richer video insights, from scene understanding to intelligent action triggering. Running these models at the edge enables faster decisions and stronger data privacy. Our demo showcases multiple Dragonwing IQ9‑based solutions, including a video surveillance demo based on the Qualcomm Insight Platform, a performance comparison against a competitor’s solution and an example of multiple VLM instances running simultaneously on a single device.
Our Dragonwing processor platforms also enable a wide range of AI‑driven retail experiences designed to elevate customer engagement. In collaboration with BRICKS, we’re demonstrating an Dragonwing IQ9-based interactive digital signage solution that powers more intelligent, dynamic storefront interactions.
In collaboration with Consult Red, we’re also demonstrating a voice‑enabled fast‑food ordering kiosk that runs Android on Linux with the Dragonwing IQ9 industrial processor, featuring on‑device voice control powered by multiple AI models. Using Android on Linux, we can now run modern Android apps on a highly powerful edge AI industrial platforms that are also ruggedized and come with long-life support.
Announced at CES 2026, the Edge Impulse On-Prem AI can enable secure local AI inference and MLOps for a wide range of use cases. Customers can run inference for models up to 120B parameters, like GPT-OSS 120B, at just 150W on one Qualcomm Cloud AI 100 Ultra card. This architecture offers enterprise-grade precision, secure operation, private networks and full offline support.
The appliance also powers on‑premise generative AI enterprise workloads, as demonstrated through collaborations with context.ai for content creation. In telecom, we have supported Lanner and Ecrio to enable telecom and generative AI applications. We also collaborate with partners like Aramco for oil & gas and Siemens for industrial projects. To scale, we work with hardware vendors such as Aetina, Advantech, XSLAB and AUK Computing.
Our Dragonwing processors are helping to power the future of physical AI, where prototype-to-production gaps are most visible, to deliver end‑to‑end robotics solutions that scale intelligence from household robots to full‑size humanoids. Our demos showcase our work with partners and customers across a broad range of robotics use cases. We are also highlighting how we scale robotics development and deployment, from rapid prototyping on Dragonwing IQ8 with VENTUNO Q to an Advantech and Autocore AMR prototype, and more. Learn more about our latest robotics progress.
We are also launching Dragonwing Robotics Hub, built on the Arduino Project Hub, to accelerate this journey with ready‑to‑run samples and end‑to‑end workflows spanning sensors, Dragonwing compute, edge AI and robotics control, complete with schematics, documentation, tutorials and reusable sample code. Learn more about our latest robotics progress.
At Qualcomm Technologies, we’re not just talking about transforming industries, we’re leading it. Through our integrated portfolio of purpose-built edge AI solutions, we’re working closely with industry leaders to solve real-world challenges across industrial, commercial, robotics and beyond to help teams move from evaluation to deployment with confidence.
The momentum is accelerating and 2026 promises to be a pivotal year for scaling AI to the edge. Follow us for upcoming announcements as we continue pushing the boundaries of what’s possible.
Dragonwing wireless networking platforms span home, enterprise, fiber and fixed wireless, and are designed for reliability, intelligence and scale
AI is reshaping not just applications, but the infrastructure underneath them. Qualcomm Technologies has built a Wi‑Fi 8-generation networking infrastructure portfolio for the AI era, expressed across five platforms that span home routers and mesh systems, enterprise access points, fiber gateways and fixed‑wireless access. These platforms represent a unified architectural foundation, scaled across deployment tiers and environments where AI‑driven workloads are already the norm.
Each platform is built on common design principles: ultra‑high reliability at scale, intelligence embedded at the network edge, power efficient operation and a platform architecture that enables developers to create differentiated experiences, integrate new capabilities and innovate faster.
When considering AI infrastructure, the focus must be on distributing intelligence across the edge-to-cloud continuum. Data moves between cloud inference, on-device models and services running at the network edge. Because these experiences are real-time and continuous, every part of the path matters. There can be no weak link. The access point in the home, the broadband connection and the cloud share the same performance burden.
This evolution is reshaping infrastructure reality. AI traffic is becoming more continuous, more upstream, and increasingly sensitive to latency and reliability than previous generations of applications. AI workloads are moving beyond bursty, best‑effort patterns toward requirements for predictable latency, ultra‑high reliability, consistent performance under load and stronger uplink. Speed remains essential, but it is no longer the only measure that defines a high‑performance network.
Meeting these requirements demands a new class of wireless networking infrastructure, one designed end-to-end to deliver predictable performance under continuous, time‑sensitive workloads while embedding intelligence at the edge, closer to where data is generated and consumed.
This shift elevates the role of wireless connectivity from a best‑effort access layer to a foundational part of the AI infrastructure itself. Wi‑Fi 8 plays a critical role in this transition by providing a wireless foundation designed for real‑world reliability and deterministic performance.
Building on the performance gains of Wi‑Fi 7, Wi‑Fi 8 extends those capabilities with a stronger focus on reliability, responsiveness and determinism in real‑world operating conditions. It is designed to deliver consistent performance across challenging environments, including at greater distances from the access point, in dense and device‑rich deployments, and in scenarios involving client mobility and variable interference. By prioritizing predictable behavior under load, Wi‑Fi 8 enables more dependable connectivity for latency‑sensitive and always‑on applications at the edge.
Meeting AI-era requirements cannot be achieved by optimizing the radio in isolation. This is why we designed Wi-Fi 8 infrastructure as a system, co-optimizing radios, RF front ends (RFFEs), compute and network intelligence as a unified platform. This system-level design ensures that Wi-Fi 8 capabilities translate into meaningful real-world gains, going beyond simple compliance with the specification.
That difference is most visible in the areas experienced every day, including coverage, responsiveness, power efficiency and scale:
Our platforms are built around a coordinated set of specialized engines that work together as a system: high-performance compute to deliver superior wireless networking performance, manage control and services, dedicated packet processing to keep traffic moving predictably at line rate, on-device AI acceleration to run inference without relying on the cloud, and network centric intelligence that continuously optimizes quality of experience in real time and deliver AI-native telemetry to power AIOps workflows.
By separating and specializing these roles, the architecture ensures that AI workloads do not compete with networking tasks for resources, allowing responsiveness, reliability and intelligence to scale together as networks grow more complex.
As networking infrastructure becomes more intelligent, the gateway follows the same path as the smartphone, evolving from a single‑purpose device into a programmable platform. That evolution is enabled by our approach: designing the gateway from the start with a unified, developer‑ready silicon‑to‑cloud stack that provides the foundation for this shift.
High‑performance compute and connectivity at the silicon layer are paired with a unified OS, SDK and middleware layer, as well as extended through open APIs and rich telemetry, that gives OEMs and operators deep visibility into network performance, device behavior and application demands. Critically, the platform is built for ecosystem readiness from day one. Native support for open-source middleware environments such as Prpl and RDK streamlines integration and accelerates time to deployment.
This architecture allows the gateway to evolve over time via containerized applications to support new capabilities and services. Combined with integrated AI developer tools, frameworks and model workflows for on-device inference, these foundations turn the gateway into a durable innovation surface, where developers can build, deploy and continuously evolve intelligent services at the network edge.
This architecture comes to life across five platforms, each designed to apply the same system-level foundation to different deployment realities. By leveraging a common connectivity and AI feature-set foundation, OEMs and operators can deliver consistent, intelligent user experiences across fiber, fixed wireless and Ethernet broadband, while scaling seamlessly from mainstream to premium deployments. That shared foundation is expressed across the portfolio as follows:
AI‑era requirements are already shaping everyday networks. Dense device environments, always‑on services and intelligent applications are becoming the norm across homes, enterprises and service provider deployments.
Meeting these demands requires more than faster connectivity in isolation. It calls for a system‑level architecture that combines ultra‑reliable wireless, high‑speed broadband, edge intelligence, high‑performance compute and developer‑readiness. That architecture is expressed as a single story across five platforms, each applying the same foundation to deliver predictable performance as AI workloads grow.
With intelligence becoming more continuous and embedded into everyday environments, the network itself becomes a defining part of the experience. The infrastructure choices made now will determine how effectively AI can be delivered and scaled in the years ahead.
Ganesh Swaminathan, vice president and general manager for wireless infrastructure and networking at Qualcomm Technologies, Inc., shares further insight into how this portfolio is shaping the future of AI‑era networking infrastructure:
SAN DIEGO–(BUSINESS WIRE)– Qualcomm Incorporated (NASDAQ: QCOM) today announced that it has completed its acquisition of Alphawave IP Group plc (AWE.L) (“Alphawave Semi”), approximately one quarter ahead of schedule. The acquisition of Alphawave Semi aims to further accelerate and provide key assets for Qualcomm’s expansion into the data center. Tony Pialis, CEO and co-founder of Alphawave Semi, will lead the Qualcomm data center business.

“Alphawave Semi’s expertise in high-speed connectivity technologies complements our Qualcomm Oryon CPU and Hexagon NPU processors,” said Cristiano Amon, President and CEO of Qualcomm Incorporated. “Qualcomm delivers high-performance, energy-efficient compute and AI solutions, and the addition of Alphawave’s technologies will strengthen our platforms and optimize performance for next-generation AI data centers.”
“Joining Qualcomm marks an exciting new chapter for Alphawave Semi,” Pialis said. “We’re ready to bring our leadership in high-speed connectivity and custom silicon to help shape the future of data center innovation.”
Alphawave Semi is a global leader in high-speed wired connectivity delivering custom silicon, connectivity products and chiplets that drive faster, more reliable data transfer with higher performance and lower power consumption. Alphawave Semi’s products form a part of the core infrastructure enabling next-generation services in a wide array of high growth areas, including data centers, AI, data networking and data storage.
The full announcement can be found on our website at: https://investor.qualcomm.com/update-details/update-details-offer.
About Qualcomm
Qualcomm relentlessly innovates to deliver intelligent computing everywhere, helping the world tackle some of its most important challenges. Building on our 40 years of technology leadership in creating era-defining breakthroughs, we deliver a broad portfolio of solutions built with our leading-edge AI, high-performance, low-power computing, and unrivaled connectivity. Our Snapdragon® platforms power extraordinary consumer experiences, and our Qualcomm Dragonwing™ products empower businesses and industries to scale to new heights. Together with our ecosystem partners, we enable next-generation digital transformation to enrich lives, improve businesses, and advance societies. At Qualcomm, we are engineering human progress.
Qualcomm Incorporated includes our licensing business, QTL, and the vast majority of our patent portfolio. Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, operates, along with its subsidiaries, substantially all of our engineering and research and development functions and substantially all of our products and services businesses, including our QCT semiconductor business. Snapdragon and Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm patents are licensed by Qualcomm Incorporated.
Qualcomm, Snapdragon, Qualcomm Dragonwing, Qualcomm Oryon, and Hexagon are trademarks or registered trademarks of Qualcomm Incorporated.
Wi-Fi 8 is beling developed to meet the demands of a new era shaped by AI-driven systems, personal device ecosystems and mission critical applications.
Learn more in Part 1 of this series
Previously, we explored how Wi-Fi 8 is being developed to meet the demands of a new era shaped by AI-driven systems, personal device ecosystems and mission-critical applications. Designed to deliver ultra-high reliability, Wi-Fi 8 aims to provide consistent, low-latency and near-lossless performance in real-life environments where congestion, interference, mobility and coverage boundaries challenge legacy Wi-Fi.
Here, we’ll take a closer look at the technologies making Wi-Fi 8 uniquely capable of solving these challenges. We’ll also explore how these innovations translate into tangible benefits across key environments: enterprise and industrial settings, connected homes and public venues — where seamless, intelligent connectivity is becoming more and more essential.
Wi-Fi technology, like all wireless communication systems, is built on a layered architecture that organizes how data is transmitted and received. Two of the most critical layers in this architecture are the physical (PHY) layer and the medium access control (MAC) layer. The PHY layer is responsible for the actual transmission of data over the air. It defines how bits are converted into radio frequency signals and vice versa, including aspects like modulation, coding and signal strength. The MAC layer, on the other hand, governs how devices access the shared wireless medium, coordinating when and how data packets are sent to avoid collisions and ensure efficient use of the spectrum.
The IEEE 802.11bn standard, which serves as the base for Wi-Fi 8, introduces a suite of innovations at these foundational layers to improve reliability, throughput and responsiveness, especially in challenging conditions. Wi-Fi 8 tackles long-standing limitations in signal handling and spectrum coordination, setting the stage for a new generation of ultra-resilient and high-performance wireless connectivity.
Wi-Fi 8 brings a wave of targeted PHY layer enhancements to address connectivity challenges like weak uplink signals, inefficient MIMO modulation and signal degradation at the network edge. These enhancements are designed to deliver more robust performance and higher effective throughput in non-ideal signal conditions than any previous generation of Wi-Fi.
Together, these PHY layer innovations form the foundation of Wi-Fi 8’s ultra-high reliability promise, ensuring performance remains consistent, robust and efficient, while also increasing range and boosting throughput in challenging wireless conditions.
These coordination mechanisms allow Wi-Fi 8 to deliver consistent, high-throughput, low-latency connectivity in environments with high device density and overlapping coverage.
Wi-Fi 8 is designed not just for theoretical gains, but for impact; its innovations are tuned to the realities of modern connectivity, where reliability, responsiveness and efficiency are mission-critical. Let’s explore how the technical breakthroughs, many spearheaded by Qualcomm Technologies, connect to the environments where they’ll reshape expectations and redefine what wireless performance feels like.
Enterprise and industrial environments have long relied on wired Ethernet to meet the stringent demands for operations like robotic assembly, real-time monitoring, high-quality conferencing and increasingly AI-driven automation that require ultra-reliable, low-latency connectivity. Wi-Fi 8 introduces the opportunity to deliver that same level of reliability over wireless, unlocking new flexibility for intelligent operations.
While earlier Wi‑Fi generations delivered their strongest performance closest to the access point, Wi‑Fi 8 is designed to extend that experience, delivering consistently higher throughput and lower latency throughout the home.
In public venues like airports, stadiums and transit hubs, Wi-Fi 8 tackles the dual challenge of high user density and constant mobility.
In summary, Wi-Fi 8 introduces a suite of innovations designed to meet the demands of modern connectivity, where mobility, density and responsiveness are critical. Together, these innovations enable systems to operate with the precision, responsiveness and reliability traditionally reserved for wired infrastructure, while also delivering significantly faster wireless connectivity in scenarios where legacy Wi-Fi struggled.
As a leader in wireless innovation, Qualcomm Technologies is driving the development of Wi-Fi 8, delivering advanced connectivity solutions that empower enterprises, public spaces and homes worldwide. With our deep expertise in wireless technologies, we are uniquely positioned to unlock the full potential of Wi-Fi 8 for intelligent computing at the edge.
About Ubiquiti
Ubiquiti is a leader in enterprise networking, delivering scalable Wi-Fi 7 solutions that enable seamless, multi-gigabit connectivity for environments from small offices to global stadiums. Their vision addresses the demands of today’s high-performance, connected devices and the hyper-connected world of modern business.
Use Case Spotlight
Ubiquiti’s Wi-Fi 7 portfolio — including the E7 series — delivers enterprise-grade connectivity at scale, proven in high-density venues like convention centers and arenas. These solutions provide reliable, content-rich wireless experiences for thousands of users, even under heavy traffic and with a wide range of devices.
Qualcomm Innovation
Ubiquiti’s latest access points are built on the scalable Qualcomm Dragonwing Networking Infrastructure Wi-Fi 7 platforms, leveraging advanced features like Multi-Link Operation, ultra-wide 320MHz channels, and 4K QAM for high throughput, low latency, and robust reliability. The Dragonwing N7 Platform’s modular architecture and automated frequency coordination enable both indoor and outdoor deployments, supporting diverse market needs.
From large stadiums to small offices, today’s high-performance devices require multi-gigabit speeds and real-time responsiveness. Ubiquiti’s Wi-Fi 7 access points (APs) lineup deliver multi-gigabit connectivity directly to client devices, ensuring seamless performance across diverse environments. With scalable, license-free networking solutions, Ubiquiti is enabling the hyper-connected world of modern business.
To bring its breakthrough vision for Wi-Fi 7 access points to life, Ubiquiti turned to a long-time trusted collaborator: Qualcomm Technologies. Powered by the Dragonwing Networking Wi-Fi 7 platforms, Ubiquiti’s access points lineup integrates the full capabilities of Wi-Fi 7 and offers significant advantages over previous generations, including:
With its advanced and modular networking architecture, the Dragonwing N7 Platform and Dragonwing NPro 7 Platform align perfectly with Ubiquiti’s software-driven innovation strategy.
“The Dragonwing Wi-Fi 7 Networking Platforms combine powerful quad-core processing with advanced high-speed networking to deliver exceptional performance,” said Tom Hildebrand, Ubiquiti Engineer. “Its ability to seamlessly route and shape traffic provides the flexibility our customers need to scale and adapt with confidence.”
The scalable Dragonwing platforms support both dual- and tri-band configurations. This enables Ubiquiti to bring the core innovations of Wi-Fi 7 to more cost-sensitive markets and regions (including those that do not have 6GHz spectrum available) through other solutions in their lineup, such as UniFi U7 Lite.
Next-gen connectivity even outdoors
A leader in enterprise connectivity transformation, Ubiquiti further expanded the reach and flexibility of its next-gen wireless networks with its first 6GHz outdoor Wi-Fi solution. The U7 Pro Outdoor and Enterprise APs enable this breakthrough connectivity in large open-air settings, such as stadiums and campuses.
While 6GHz spectrum has traditionally been limited to indoor use due to spectrum regulations, outdoor deployments in North America are now possible with automated frequency coordination (AFC) systems. Ubiquiti once again turned to Qualcomm innovation. The Dragonwing AFC Suite, a complete turnkey solution integrating geolocation technology, was integrated to manage spectrum sharing with 6GHz spectrum incumbent users.
“With Dragonwing AFC Suite, 6 GHz Wi-Fi can now meet the indoor and outdoor deployment needs of our customers, including extended range unheard of with Wi-Fi 6E,” said Hildebrand.
Real-world impact: From convention centers to stadiumsUbiquiti’s expanding Wi‑Fi 7 portfolio is already delivering enterprise-grade connectivity at scale across diverse, high-density environments. And the results speak for themselves.
More than 6,000 attendees to a week-long event hosted in a Canadian convention center enjoyed flawless wireless connectivity, even under heavy traffic and with 40% of clients using 6GHz. One of the largest 6GHz deployments they’ve done in North America, Ubiquiti used their E7 and E7 Campus APs to provide users with reliable, content-rich experiences across their devices, including smartphones and laptops.
Also in North America, Ubiquiti is upgrading an 18,000-person-capacity arena, both inside and out, to Wi-Fi 7 from an increasingly inadequate Wi-Fi 5. Early results already show over 120 users per AP with seamless performance. Once the full deployment of UniFi Enterprise APs is complete, it will be a gamechanger.
Through its collaboration with Qualcomm Technologies, Ubiquiti is bringing the full promise of Wi-Fi 7 to life. From flagship enterprise deployments with the high-capacity E7 series to cost-conscious rollouts with the U7 Lite and super-compact 10G Cloud Gateway Express 7, customers can meet the connectivity needs of today and into the future.
World’s first fully integrated RAIN RFID reader in an enterprise mobile processor offers compact form factor, low BOM cost, smaller footprint, end-to-end commercial readiness and superior performance.
RAIN Radio frequency identification (RFID) readers offer the advantages of speed, accuracy and efficiency in tracking and managing assets. They enhance decision making and operational insight by using radio waves to find and read multiple tags simultaneously — even tags that are out of the line of sight. That reduces labor requirements while capturing real-time data efficiently.
RAIN RFID reader capabilities in enterprise mobile devices such as handhelds and tablets can be a big differentiator in verticals like retail, transportation and logistics, public safety, and energy and utilities. As a product differentiator, RAIN RFID technology holds promise for most original design manufacturers (ODMs) and original equipment manufacturers (OEMs) of handheld devices for asset tracking and management. The technology enables the design of sleeker, more compact devices that are easier to carry and operate, which ultimately drives efficiency and usability.
Challenges of adding RAIN RFID reader capabilities on a mobile form-factor device
Manufacturers have found that integrating RAIN RFID reader capabilities into a mobile device presents several challenges:
Ultimately, those factors combine to create a challenging environment where technical complexity and escalating expenses undermine competitiveness and innovation.
Solution: Dragonwing Q-6690 with on-chip RFID reader
The Dragonwing Q-6690 processor is engineered to solve this industry challenge by enabling fully integrated RAIN RFID reader capability directly on the processor. The Dragonwing family of processors is engineered as the flagship offering of our IoT business unit. The processors deliver advanced intelligence and enable smarter decision-making across verticals such as enterprise mobile computing, retail, point of sales, transport and logistics, utility, energy and safety.
The Dragonwing Q-6690 processor fully integrates RAIN RFID reader capabilities for ultra-high frequency (UHF), radio-based identification without the need for external RFID reader modules. OEMs and ODMs can now offer their customers the benefits of RFID in a small footprint without expensive redesign.
From the perspectives of design and manufacturing, having the RFID reader capabilities fully integrated with the Dragonwing Q-6690 processor means a compact form factor, low BOM cost and small footprint. It helps reduce complexity in engineering effort, device certification and BOM. OEMs and ODMs reap the benefits of end-to-end commercial readiness not only in hardware but also in software, allowing them to enable new features more quickly and at low cost.
Beyond the clear advantages of reduced size and cost, the fully integrated RAIN RFID architecture of the Dragonwing Q-6690 offers system-level efficiencies that set it apart:
Those benefits, combined with a software-configurable, scalable platform, make the Dragonwing Q-6690 a compelling choice for OEMs and ODMs seeking to streamline design, shorten time to market and future-proof their product lines.
Dragonwing supports leading RFID standards and enhancements
As the first enterprise mobile processor to feature an integrated RAIN RFID reader, the Dragonwing Q-6690 fully supports the RAIN radio protocol, which is standardized as ISO/IEC 18000-63.
Furthermore, the Dragonwing Q-6690 processor is Gen2X-capable. Gen2X is an enhancement to the RAIN radio protocol that delivers a toolbox of innovations to address enterprise needs. RAIN member company Impinj released Gen2X to the industry with the goal of accelerating RAIN adoption.
“Qualcomm Technologies has taken a big step toward accelerating the adoption of RAIN RFID,” says Chris Diorio, the CEO, vice chair and co-founder at Impinj. “For the past two decades, Impinj has focused on developing innovations and partnerships to realize our mission to connect everything. RAIN RFID-enabled mobile devices are a critical next step to realizing this mission and we are thrilled to partner with Qualcomm. We’re pleased that the Dragonwing Q-6690 processor is Gen2X-capable, allowing it to leverage advanced features and capabilities in our M700 and M800 series endpoint ICs. This processor will streamline device design, reduce costs and open up new possibilities for enterprise and industrial devices that will help connect every item in our everyday world.”
Ideal edge applications for on-chip RFID
With fully integrated RFID, edge devices built on the Dragonwing Q-6690 processor can read commercial tags including those that incorporate the M700 and M800 series from Impinj as well as the full range of UCODE products from NXP to identify, locate, and protect every thing an enterprise tracks, manages, and sells.
“NXP’s UCODE portfolio is designed to deliver high-performance, standards-compliant RFID solutions for global supply chains,” says Philippe Dubois, Senior Vice President, Secure Transactions & Identification – BL Secure Connected Edge at NXP. “We’re excited to see the Dragonwing Q-6690 processor integrate UHF RFID capabilities that are compatible with UCODE-based tags , enabling scalable, efficient, secure item-level tracking across various industries.”
The processor can be a differentiator for OEMs and ODMs of handheld devices in a wide range of edge applications, including these:
In the world of wireless connectivity, speed has long been the headline feature. Wi-Fi 7 pushed the boundaries of peak performance, delivering exceptional throughput and low latency. But as AI becomes more deeply woven into the systems that shape how we live and work — as real-time responsiveness becomes essential to everything from automation to collaboration, and as users and devices demand seamless connectivity on the move — expectations for wireless connectivity are shifting.
Wi-Fi 8 marks a fundamental pivot — moving beyond peak speeds to prioritize reliable performance in challenging real-world conditions. It’s designed to deliver consistent, low-latency and near-lossless connectivity even in highly congested, interference-prone and mobile environments.
Building on over two decades of wireless innovation, Wi-Fi 8 refines and extends the capabilities of its predecessors to meet the demands of mission-critical, AI-driven systems and dynamic use cases. It’s designed to bring Wi-Fi closer than ever to the reliability and responsiveness of wired infrastructure.
Elevating Wi-Fi to new heights: Introducing IEEE802.11bn
Wi-Fi standards are developed by a global group of engineers and technologists who collaborate within the IEEE802.11 standards body. Leading technology companies — including Qualcomm Technologies — are actively contributing to the development of the underlying standard for the next-generation Wi-Fi: Wi-Fi 8. This effort is being led by Task group IEEE802.11bn under the initiative known as ‘Ultra High Reliability’ (UHR).
UHR represents a bold vision to elevate Wi-Fi performance to new heights. The IEEE scope document that guides the development of the standard outlines a clear goal: to make wireless connections faster, more responsive and more robust.
With today’s standards, Wi-Fi can claim impressive performance metrics: multi-gigabit throughput, sub-10 millisecond latency and packet loss rates below 0.1%. Even so, Wi-Fi 8 aims to go further by improving performance by a measurable leap not only compared to Wi-Fi 7, but by doing so in the most challenging scenarios. According to the IEEE scope document, Wi-Fi 8 will introduce:
These enhancements are designed to support both isolated and overlapping network deployments, with a focus on environments characterized by congestion, interference, user mobility and coverage boundaries. The standard also introduces improvements in power efficiency, peer-to-peer communication and mobility — all critical for emerging applications.
In subsequent blog posts, we will provide deeper insights into the underlying technologies and features being standardized in 802.11bn. Here, we’ll introduce some of the key concepts.
Why Wi-Fi 8: The need for ultra-high reliability
As we look ahead to 2028 and beyond, Wi-Fi networks will need to support new classes of devices, greater mobility with those devices and mission-critical applications. Wi-Fi 8 is designed to rise to this challenge, delivering enhanced performance and reliability across a wide range of environments. This next-generation technology will be pivotal in enabling intelligent, mobile workspaces in enterprise settings; immersive and essential applications in connected homes; and seamless, high-density connectivity in public spaces. Just as importantly, Wi-Fi 8 is designed to support transformative trends, such as the proliferation of peer-to-peer device communications and the rise of AI-driven services, applications and devices.
Transformative trends: Wi-Fi 8 as the foundational connectivity fabric
Beyond today’s understood connectivity needs two trends are set to dramatically increase the density and dynamism required of local Wi-Fi networks.
Wi-Fi 8 is being defined to serve as the foundational connectivity fabric that enables these ecosystems to thrive.
Advancing Wi-Fi for real-world deployments: New capabilities with 802.11bn
Turning this vision into reality depends on the new capabilities being standardized in 802.11bn, which advance Wi-Fi performance across five critical dimensions that matter most in real-world deployments.
Where Wi-Fi 8 will make the biggest impact
Wi-Fi 8 is poised to transform wireless performance across the environments that need it most.
The road ahead
The development of the 802.11bn standard is a collaborative effort within Working Group 802.11, involving an unprecedented number of contributors. Steady progress is being made with high-level consensus already achieved on a significant portion of the new standard, while other elements remain under discussion. Going forward, the 802.11bn task group will be busy finalizing a solid and high-quality basis of the future Wi-Fi 8 generation — a generation that is again anticipated to be used in billions of devices in the next decade.
As the standard continues to evolve, Qualcomm Technologies remains at the forefront — driving innovation, shaping the specification and delivering the technologies that will bring this vision to life.
Stay tuned: In our next post, we’ll dive deeper into the technical breakthroughs behind Wi-Fi 8’s seamless roaming and edge performance.
Bringing ultra-fast, mainstream connectivity to compute and consumer electronics
As homes became more connected with Smart TVs, appliances, speakers and more, the demand for high-performance connectivity grew across a wider range of devices. Consumers now expect their devices to handle the higher speeds and lower latency that Wi-Fi 7 brings.
Earlier this year, Qualcomm FastConnect 7700 mobile connectivity system brought Wi-Fi 7 to mainstream smartphones, accelerating the ubiquity of Wi-Fi 7. Now, FastConnect C7700 completes Qualcomm Technologies’ Wi-Fi 7 portfolio by extending mainstream Wi-Fi 7 into compute and consumer electronic applications.
Historically, Wi-Fi 7 has been a key component in premium tier devices. The expanded portfolio increases the accessibility of Wi-Fi 7 for both manufacturers and consumers. Our Wi-Fi 7 systems tap into wider 320MHz channels, which means higher speeds, lower latency and better performance farther from your router.
The FastConnect C7700 mirrors the features of the FastConnect 7700 and has been redesigned to better fit consumer electronic and compute devices with interfaces such as Secure Digital Input Output (SDIO) and USB. This advanced connectivity solution is tailored for devices such as PCs, gaming consoles, cameras and more. With its robust feature set, the FastConnect C7700 is designed to ensure seamless and high-speed connectivity, making it an ideal choice for today’s tech-savvy consumers.
Key features of the FastConnect C7700 include:
FastConnect C7700 marks an important milestone for consumers and manufacturers, enabling Wi-Fi 7 in a wider range of devices. Consumers can start to see FastConnect C7700 as early as 2026.