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Dragonwing wireless networking platforms span home, enterprise, fiber and fixed wireless, and are designed for reliability, intelligence and scale

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What you should know:
  • Today’s AI‑era traffic demands a rethink of networking architecture, not incremental upgrades. To address this, Qualcomm Technologies delivers a system‑level wireless networking architecture, combining ultra‑reliable Wi‑Fi 8 with fiber and 5G fixed wireless broadband, edge intelligence, high‑performance compute and broadband‑to‑antenna integration.
  • Five platforms express this architecture across deployment tiers and segments, spanning home routers and mesh systems, enterprise access points, operator gateways and fixed‑wireless access systems, delivering consistent performance from broadband ingress through the Wi‑Fi edge.

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.

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Redefining what AI-era networks must deliver

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.

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A new class of AI-native networking infrastructure

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.

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Designing Wi-Fi 8 as a system

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:

  • Higher‑order 5×5 radio systems increase spatial diversity, extending high‑speed connectivity farther from the access point. This delivers up to 40% higher throughput1 at typical distances for mesh backhaul and high-performance client devices, translating to coverage that can extend roughly one additional room at the same speed and strengthening whole‑home coverage and mesh performance.
  • Advanced coordination features paired with an optimized processing pipeline, help maintain low latency and consistent responsiveness under load.
  • Power efficiency plays an increasingly important role in supporting sustainability goals for operators and end users. Our Wi-Fi 8 generation platforms address this through system-level power optimization and high-efficiency RFFE modules to enable energy-efficient operation without compromising availability and performance.
  • Scalability is foundational as device counts and AI‑driven workloads continue to grow. High wireless capacity and flexible multi‑band operation (up to penta‑band configurations) provide headroom for emerging traffic patterns and new classes of applications. This allows large numbers of connected devices to operate simultaneously while maintaining predictable performance in dense environments.
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Compute architecture for next-generation intelligent networks

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.

Developer-ready unified silicon-to-cloud stack

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.

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Five platforms, one architecture

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:

Ethernet platforms for scalable wired deployments:
  • Dragonwing NPro A8 Elite Platform anchors the premium tier with Wi‑Fi 8 infrastructure designed for high‑performance enterprise access points and premium home routers.
  • Dragonwing N8 Platform brings Wi‑Fi 8 ultra‑high reliability to mainstream home routers and mesh systems.
Fiber platforms for high-capacity broadband access:
Fixed wireless access platform:
  • Dragonwing FWA Gen 5 Elite Platform combines Wi‑Fi 8 with 5G fixed wireless access built on the Qualcomm X85 Modem‑RF System, supporting next‑generation broadband deployments where flexibility and rapid scale matter most.

Why AI-era networks demand a new foundation

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:

SEE VIDEO

One Platform – Infinite Possibilities

Devices are becoming smarter, more capable, and more distributed, but the way we design them has not kept pace. For engineers, that progress increasingly brings tradeoffs: latency bottlenecks, rising power demands, and fragmented system architectures that complicate even well-understood designs. As functionality increases, so does the difficulty of fitting multiple analog and digital components onto a single board, while meeting strict size, weight, and power requirements.

The goal isn’t just integration. It’s better outcomes. Integrating processing and connectivity helps reduce system complexity, improve reliability, strengthen security, and simplify the development experience for design teams. It accelerates time to market and supports AI-capable products across applications ranging from consumer devices to industrial and physical AI systems.

Advances in mixed-signal design are making this level of integration practical at scale. By integrating a wireless chip and a microcontroller, engineers can eliminate chip-to-chip interconnect complexity, thereby simplifying board layouts, improving power management, and making system integration faster and more efficient.

The Happy Marriage of Connectivity and Compute

Bringing together connectivity and processing changes how design decisions are made early in the product lifecycle. When core system functions work together, teams can simplify architecture choices from the outset and reduce the number of variables that typically slow progress.

Traditionally, developers have had to account for board layout while coordinating both hardware and software development across separate components and teams. That level of coordination increases design complexity, introduces roadblocks, and can slow development and time to market. An integrated solution removes much of that friction.

Long-Term Benefits and Efficiencies of Integration

Integrating connectivity and compute has benefits beyond the engineering and manufacturing phase. Over the lifetime of a product, integration helps reduce power consumption, lower device weight, and decrease overall system cost. At scale, even small reductions in size, mass, and power can translate into meaningful savings across production, shipping, and years of deployment.

These efficiencies matter across a wide range of IoT applications, including smart appliances, home and industrial automation, and home security. For products that must meet stringent energy requirements, integration can make it significantly easier to achieve electricity consumption targets.

Reliable wireless performance over longer distances is another critical factor. Connectivity can be power- and workload-aware. Products such as washers, dryers, and thermostats are often installed far from a router, where inconsistent connectivity can undermine the overall experience. More efficient system designs enable robust and reliable wireless connections in these real-world environments.

Bring Processing and Connectivity Together with Synaptics

As leaders in connectivity, Synaptics focuses on helping engineers improve designs through high-performance wireless solutions that deliver strong rate, range, and reliability. That expertise drives our approach to integrated platforms, where connectivity and processing are designed to work together from the start.

As Wi-Fi 7 brings higher speeds and lower latency to the IoT, Synaptics connectivity solutions are built to help engineers take advantage of these capabilities while simplifying system design and improving overall connectivity.

Marathon is the newest game from Halo and Destiny creators: Bungie. It offers a PvPvE extraction shooter experience based in a unique cybernetic world filled of varying environments and enemies.

Just like in any shooter game, you live and die by your mechanical ability. This is even more so in an extraction shooter like Marathon as a lost gunfight can cost you your hard earned resources and gear.

To give yourself the best chance to succeed in Marathon, you need to be playing on a low ping and stable connection to gain the tactical advantage. We’ve tested the game during the server slam event to find the locations of the best Marathon servers for a low ping connection.

 

Why Does The Server You Connect to Matter in Marathon?

The game server you play on is the largest determining factor on your connection quality in Marathon. This is because the your game data has to travel from your PC or console to and from the game server. The greater the distance it has to travel, the higher your in-game ping will be.

You would assume the game wouldn’t connect you to far away high ping server, but matchmaking algorithms have to consider a wide range of factors when assigning you a server. Factors like your skill level or how long you’ve been waiting for a match may take priority, and as a result your connection may suffer due to being allocated a far away server.

 

How to Select Your Server in Marathon

Without a server selector setting in Marathon, you’re completely at the mercy of the matchmaking algorithm to allocate you a server with low ping.

If you find yourself connecting to high ping servers in Marathon, then you need the Netduma R3 gaming router and its powerful Geo-Filter feature.

The Geo-Filter allows you to control what servers you play on in popular online games. It creates a customisable filter radius that determines what server you can connect to. This allows your to force connection to nearby, low ping servers whilst blocking the higher ping ones.

Once the Geo-Filter is set up, you will only connect to low ping servers in Marathon which is the perfect conditions for the intense PvP gunfights. If you want to see the setup process of the Geo-Filter, or learn more about the advanced settings, check out our ultimate Geo-Filter guide video below.

Cisco Expands AgenticOps Innovations Across Portfolio

New AgenticOps capabilities in networking, security, and observability reimagine how to automate, scale, and simplify IT operations in the AI era. 

News Summary: 

  • Cisco advances AgenticOps as the operating model for modern IT.
  • New capabilities extend agentic‑driven operations with intelligent execution across networking, security, and observability.
  • New tools, skills, and platform enhancements equip organizations to meet the demands of the AI era, delivering reliability, accuracy, and control at scale.

CISCO LIVE EMEA, AMSTERDAM – Feb. 10, 2026 – Cisco (NASDAQ: CSCO) today announced new AgenticOps innovations for the AI era. First launched last year, AgenticOps is an agent-first IT operating model for autonomous action with built-in oversight. New capabilities unveiled today across networking, security, and observability further transform how IT teams operate at scale.

IT environments are increasingly distributed and dynamic, placing growing operational and security demands on already stretched teams. Addressing these demands requires a new operational model, one that enables intelligent execution while preserving the reliability, accuracy, and governance organizations require. Cisco’s AgenticOps is built for this reality, providing the foundation to absorb operational complexity and operate effectively at scale.

“For teams responsible for operating and securing distributed networks and infrastructure, AgenticOps represents a profound and fundamental shift away from complexity,” said Jeetu Patel, President and Chief Product Officer, Cisco. “This is the true power of Cisco as a platform. By delivering agentic capabilities aligned to critical IT operations priorities, we’re combining Cisco’s unique cross‑domain visibility, purpose-built models, and governance together to supercharge teams.”

Last year, Cisco introduced AgenticOps and redefined how AI is applied in networking to manage the growing complexity of modern IT operations. Powered by advanced AI and unified network data, including the Deep Network Model, solutions like Agentic Workflows and AI Canvas help IT teams troubleshoot faster and automate securely. Now, Cisco is extending agentic-driven operations across networking, security, and observability, delivering AgenticOps to support IT operations in cloud, on‑premises, air‑gapped industrial, enterprise, data center, and service provider environments.

Cisco’s AgenticOps is informed by system‑wide awareness drawn from one of the industry’s richest sources of cross‑domain telemetry across Cisco Networking, Security Cloud Control, Cisco Nexus One, Splunk, and more. By ingesting live signals from owned and unowned networks, security controls, applications, and collaboration platforms, including Cisco ThousandEyes, Secure Firewall, and Splunk Observability, AgenticOps delivers context‑aware, agentic execution at real‑world operational scale. The result is trusted, closed‑loop execution that shifts day‑to‑day operations from humans to machines, while keeping teams firmly in control of outcomes.

New tools, skills, and platform enhancements across networking, security, and observability include:

Operating Networks at AI Scale with Intelligent Execution  

  • Campus, Branch, and Industrial  
    • Autonomous Troubleshooting: End-to-end agentic investigations across campus, branch, and industrial networks triage connectivity and experience issues, cutting MTTR to minutes. Applies reasoning from telemetry to root cause, validating multiple hypotheses simultaneously and executing deterministic remediations with CCIE-grade precision.
    • Continuous Optimization: Context-aware agentic recommendations to prevent performance degradation before users feel it. Continuously maintains user experience by autonomously tuning RF, QoS, path, and control planes with a live understanding of end-to-end network conditions.
    • Trusted Validation: Risk-aware agentic assessments validate network changes against live topology, configuration, and telemetry, including identifying impact and blast radius. Leverages deep reasoning to perform complex tasks such as compliance validation.
    • Experience Metrics: Transforms thousands of network signals into a single view focused on clear, actionable metrics for user experience, such as Time to Connect, Capacity, and Roaming.
    • Agentic Workflow Creation: Create production-ready, deterministic automations within Cisco AI Assistant for custom, repeatable, and verifiable workflows based on environment conditions.
    • Agentic capabilities for Campus, Branch, and Industrial will start rolling out February 2026.
  • Data Center: Early detection and intelligent event correlation with AgenticOps for data center networks enables the delivery of prescriptive recommendations to optimize performance. By providing actionable insights across traditional and AI workloads, the solution drives proactive operations and significantly improves business outcomes. This capability enhances the observability and unified operations of Cisco Nexus One. Controlled availability in June 2026.
  • Service Provider: Accelerating the journey to autonomous networking, agentic capabilities in Crosswork AI identify, diagnose, and resolve complex, multi‑vendor issues in service provider networks with greater speed, accuracy, and confidence. Now in beta.

Turbocharging Firewall Operations in Cisco Security Cloud Control 

  • Proactive Recommendations: Proactive analysis of firewall traffic, including both the applications accessed and mode of access, allows agentic policy capabilities to identify and recommend more robust zero trust controls for sensitive applications. These capabilities can then propose actions tailored to each customer’s environment, which can be executed with a single click.
  • Operational Efficiency: AgenticOps troubleshooting and optimization capabilities detect issues such as elephant flows impacting firewall performance, perform full-context analysis, and propose remediation options that can be executed in one click.
  • Continuous Compliance: Agentic compliance capabilities continuously evaluate firewall configurations to automatically identify PCI-DSS deviations and recommend remediations to stay compliant.
  • General availability is targeted in May 2026.

Visibility and Control Across Agentic Applications 

  • Tracking the performance, cost, quality, and behavior of LLM and agentic applications, AI Agent Monitoring in Splunk Observability Cloud visualizes agent workflows and will soon integrate with Cisco AI Defense to mitigate risks that inhibit trust in AI models, such as bias, hallucinations, data leakage, and prompt injection. Generally available February 25.

“The industry is clearly moving toward more agentic models of IT operations, but execution and trust will determine who leads,” said Ron Westfall, VP and Practice Leader, Infrastructure and Networking, HyperFRAME Research. “Cisco’s AgenticOps approach is compelling because it grounds AI‑driven operations in decades of operational expertise, strong guardrails, and clear human oversight. That combination positions Cisco firmly as enterprises look for practical ways to manage growing scale and complexity without introducing new risk.”

Additional Resources 

About Cisco  

Cisco (NASDAQ: CSCO) is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. Discover more on The Newsroom and follow us on X at @Cisco.

Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco’s trademarks can be found at http://www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word ‘partner’ does not imply a partnership relationship between Cisco and any other company.

Disclaimer: Many of the products and features mentioned are still in development and will be made available as they are finalized, subject to ongoing evolution in development and innovation. The timeline for their release is subject to change.

Aprecomm Double at The Fast Mode Awards

Aprecomm’s AI-Powered Customer Experience Platform wins both the Analytics & Intelligence Champion and the AI & GenAI Pioneer award, together with its service provider partner, ACT Fibernet



LIVE X: KUALA LUMPUR, February 6, 2025 – Today, The Fast Mode, a leading independent media, research, and analysis platform, announced that Aprecomm, a provider of an intuitive, self-healing network and customer experience platform, received two highly coveted awards at The Fast Mode Awards ceremony during the inaugural Live X show in Kuala Lumpur.

Aprecomm took home both the Analytics & Intelligence Champion title for Impact in the Solution Provider category and the AI & GenAI Pioneer award for Impact in the Telco category, in collaboration with its service provider partner ACT Fibernet. The awards, organized by The Fast Mode, celebrate breakthrough technologies and visionary leadership shaping the global telecom industry, recognizing solutions that drive innovation, operational excellence, and enhanced customer experiences.

Aprecomm’s platform leverages advanced AI and patented Quality of Experience (QoE) algorithms to optimize broadband and Wi-Fi performance at the application level. Service providers have access to a unified dashboard offering full visibility into network health, enabling proactive support, faster issue resolution, and reduced operational costs.

For consumers, the platform ensures uninterrupted, high-quality connectivity by optimizing Wi-Fi channels and managing network traffic to deliver peak performance across all devices. Deployments with service providers, including ACT Fibernet, have delivered tangible results – faster internet speeds, significant reductions in support calls and truck rolls, improved first-call resolution, and measurable reductions in subscriber churn.

Winners of the awards are evaluated against The Fast Mode solution assessment framework, in which Aprecomm excelled in Impact with its delivery of AI-driven network automation that enhances network reliability, improves service quality, and allows providers to scale rapidly while reducing support burdens. Entries are further assessed by expert review by the awards judging panel.

“This year’s The Fast Mode Awards recorded over 300 entries from some of telecom’s most prominent players, and the competition was very tough,” said Tara Neal, Executive Editor at The Fast Mode. “Receiving not one, but two awards endorses Aprecomm’s leadership in delivering highly reliable online connectivity that brings down operational costs for service providers by improving online user experiences for subscribers.”

“It’s a tremendous achievement to be recognized by The Fast Mode Awards in both the Analytics and AI categories,” said Mark Goodburn, Head of Global Marketing at Aprecomm. “The awards validate our success in partnering with internet service providers to help them optimize online customer experience through the innovative use of AI.”

Aprecomm continues to expand its global footprint, deploying scalable AI solutions that optimize network performance, automate Wi-Fi management, and improve the broadband experience for millions of subscribers. The company actively champions open standards and is CPE-agnostic—its latest product, AIVRA™, an agentic AI solution slated for launch in March 2026, is set to streamline operational insights for service providers.

Aprecomm was also listed in The Fast Mode’s Vendors to Watch 2026, which spotlights technology providers expected to drive some of the most exciting advancements in the telecom sector over the next year. The recognition underscores the company’s commitment to redefining how broadband networks learn, adapt, and deliver exceptional digital experiences.

To learn more about Aprecomm, please visit: www.aprecomm.com

To learn more about ACT Fibernet, please visit: www.actcorp.in

To learn more about the results and winners of The Fast Mode Awards 2025, please visit: www.thefastmode.com/awards/results/solutionprovider

To learn more about the players featured in The Fast Mode Vendors to Watch, please visit:  www.thefastmode.com/to-watch



About The Fast Mode


The Fast Mode is a leading independent media and research platform covering global IT and telecommunications. Founded in 2013, it has grown into one of the industry’s top digital publications, reaching millions of readers each year with news, analysis, and thought leadership. The Fast Mode has worked with more than 500 technology companies — from emerging innovators to global multinationals — to highlight new technologies, strategic insights, and market developments across IP networking, automation, cloud, IoT, and digital services. With its strong industry presence, The Fast Mode is a trusted partner for driving visibility, technology adoption, and industry-wide impact.

About Aprecomm


Aprecomm harnesses AI to deliver a unique application suite that enables service providers to build self-optimizing, self-healing broadband networks. Our quality-of-experience engine monitors and optimizes WiFi performance to ensure consumers enjoy the best possible internet experience. At the same time, our cloud-based support applications leverage real-time data to predict and resolve customer service issues before they happen, saving providers time and money. Aprecomm manages over 7 million home and business locations, partnering with more than 50 service providers worldwide.

Why a Standard 3GPP AAA is Not Enough

Operators may want to monetize their Wi-Fi network by opening it for public use. The Enea Aptilo SMP (software) and SMP-S (service on AWS) are ideal for this use case as they encompass a 3GPP AAA server with additional features designed for monetizing Wi-Fi. These additional features include captive portals, Wi-Fi AAA, Wi-Fi Policy & Charging, Wi-Fi subscriber management, and our ServiceGlue concept with configurable logic.

An additional emerging need for going beyond the standard 3GPP AAA is to support 5G mobile operators aiming to deliver a comprehensive solution for their enterprise customers within Private 5G or 5G network slicing environments. These enterprises often manage a mix of cellular and Wi-Fi-only devices and require unified service delivery to streamline authentication and policy enforcement across diverse network types and support the selection of the best available network at any given time and location.

By adding the optional Enea Aptilo SMP Venue Wi-Fi Manager, mobile operators can turn their mobile data offloading footprint into a profitable service rather than a significant investment. This is achieved by offering managed B2B Wi-Fi services and deploying an additional secure SSID for Wi-Fi offloading at each location.

 

When you buy the Enea Aptilo SMP, you don’t only buy a product. You will also get the Enea experts covering your back. When Enea acquired Aptilo Networks in 2020, it gained a significant foothold in the Wi-Fi offloading market. Aptilo brought decades of expertise as a pioneer in Wi-Fi offloading, with its first deployments dating back to 2010 and with the first large-scale Wi-Fi service management deployments in 2001.

Today, the Enea Aptilo Service Management Platform (SMP) remains one of the most widely deployed back-end systems for Wi-Fi offloading. It is also available as SaaS with a dedicated instance per customer at Amazon Web Services (AWS), offering the same functionality and flexibility. This flexibility empowers customers to cherry-pick the functions they need, such as SIM authentication, and integrate them with their existing systems.

Our Wi-Fi offloading solution, based on Enea Aptilo SMP, encompasses so much more than just SIM-based authentication. It provides robust support for a broader range of carrier-grade Wi-Fi features, including multitenancy B2B management (to expand Wi-Fi coverage for offloading), Wi-Fi policy control, and OpenRoaming capabilities.

In essence:

 

“Enea Aptilo SMP turns a service provider’s Wi-Fi networks into a service and allows them to monetize directly and indirectly.”

Enea Aptilo SMP transforming a Wi-Fi network into a Wi-Fi service

The most impactful innovations come from close customer collaboration. The above features—and many others—have been developed through partnerships with over 100 customers globally, ensuring the platform meets the demanding needs of real-world deployments. Over the years, we have focused on the width, scalability, and reliability needed for successful Carrier Wi-Fi and Wi-Fi offloading.

  • Width: Enea Aptilo SMP supports a wide range of Wi-Fi business models, including B2B, B2C, B2B2C, and Offloading.
  • Depth: Designed for real-world applications, the platform offers advanced integration with mobile core networks and other systems.
  • Scalability & Reliability: For example, Telkom Indonesia manages 400,000+ access points, serving 70 million users across 17,000 islands. Additionally, Swedavia’s 10 airports, which host 40 million visitors annually, have experienced zero downtime over the past 12+ years, running 24/7.

Enea Aptilo SMP functionality width depth and performance.

Apex Legends remains one of the most popular battle royale games in the world. With fast-paced movement mechanics and an ever-expanding roster of Legends, Season 28 brings even more excitement—and competition.

But all of that means nothing if you’re battling connection issues like high ping, packet loss, or lag spikes. For the best gameplay experience, a low ping and stable connection is essential.

Why Your Apex Legends Server Matters

The Apex Legends server you connect to has a direct impact on your in-game ping.

The farther away the server, the longer it takes for data to travel between your device and the game, resulting in higher ping and potential lag.

Thankfully, Apex Legends has a built-in server selector that helps you find the lowest ping servers.

You can access this feature from the game’s home screen. It shows both ping and packet loss for each server, allowing you to make an informed choice. If your preferred low-ping server is experiencing issues, you may see unusually high ping. In that case, try switching to another nearby server until the issue is resolved.

Apex Legends Server Status

If you’re suddenly experiencing high ping or packet loss, but your network is normally stable, the issue might be with the Apex Legends servers themselves.

We’ve linked some useful resources for checking Apex Legends server status below. One is the official Apex Legends server status tool and the other is Downdetector which shows user reported server issues.

 

How to Fix Apex Legends Connection Issues

If Apex Legends servers are working fine but you’re still lagging, the issue might be on your end. Check out our full Apex Legends lag fix blog to learn how to fix all connection issues you may be experiencing.

In this blog we’ll cover:

  • How to reduce high ping, ping spikes, and packet loss
  • Common router and network settings that could be hurting performance
  • How the Netduma R3 Gaming Router can optimize your connection, eliminate lag, and give you a competitive edge

When Wi-Fi® 7 makes headlines, the focus is often on faster home routers and next-generation smartphones. Those improvements are real—however, they’re only part of the story. The true transformation enabled by Wi-Fi 7 will be felt in the Internet of Things (IoT), which now includes more than 21 billion connected devices worldwide.

With capabilities such as Multi-Link Operation (MLO), deterministic latency, more efficient use of spectrum, and dramatically higher throughput and range, Wi-Fi 7 is emerging as the foundational wireless standard for the next generation of connected Edge IoT devices. For engineers designing these Edge IoT products, the conversation is no longer about if Wi-Fi 7 should be adopted, but about how quickly it can be integrated to maintain performance, scalability, and competitive advantage.

How Wi-Fi 7 Will Redefine What’s Possible for IoT

As Wi-Fi 7 moves beyond traditional consumer devices, its role becomes even more critical. In Industrial IoT (IIoT) environments, smart homes, and Edge applications, wireless connectivity must perform reliably despite RF interference, latency constraints, and constantly changing operating conditions.

To put the challenge in perspective, the average home already supports more than 20 connected devices. Now scale that reality to dense urban settings, industrial environments, or smart infrastructure deployments, and the pressure on wireless networks becomes obvious. It’s no coincidence that technologies like 5G are built to handle massive device density in limited spaces. Edge IoT design engineers and developers face a similar challenge: delivering consistent, high-quality connectivity in environments that are increasingly crowded and unpredictable. This is where Wi-Fi 7 changes the equation. The examples below illustrate how its advanced capabilities are designed to meet these real-world connectivity demands head-on.

320 MHz Channels Unlock a New Class of Wi-Fi Performance

Think of Wi-Fi 7 as widening the digital freeway. By expanding channel bandwidth up to 320 MHz—double that of Wi-Fi 6—it allows far more data to move at once. The result is higher throughput, less congestion, and more consistent performance. In dense IoT device environments, this added capacity translates into faster data transfers, greater predictability, and the efficiency needed to scale as Edge IoT device counts continue to rise.

Always-On Connectivity via Multi-Link Operation (MLO)

When timing matters, IoT devices need connectivity that is both reliable and predictable. The Time-Sensitive Multi-Link Operation (TMLO) capability that comes with Wi-Fi 7 enables devices to communicate simultaneously across multiple frequency bands—2.4 GHz, 5 GHz, and 6 GHz—minimizing the effects of interference and congestion.

Unlike earlier Wi-Fi generations that pause to switch bands or reroute traffic when conditions change, Wi-Fi 7 keeps multiple links active at once. Data flows can shift instantly to the best-performing link, ensuring smooth transitions and continuous delivery.

By distributing traffic across bands and providing built-in redundancy when one frequency is degraded, TMLO delivers lower latency and more consistent timing—key requirements for time-sensitive IoT applications.

Higher Throughput, Greater Efficiency with 4K QAM

With 4K Quadrature Amplitude Modulation (QAM), a new function introduced with Wi-Fi 7, more data can be encoded into each transmission. In environments with many devices and limited channel availability, faster transmissions free up airtime for others and improve overall network efficiency. Completing transmissions sooner also allows devices to return to lower power states quicker, reducing power consumption. The effect is like modern electric vehicles, delivering higher performance while operating more efficiently.

Better Security with Mandatory WPA3

With Wi-Fi 7, support for the WPA3 security protocol is mandatory, not optional. WPA3 strengthens protection against brute-force and offline dictionary attacks through Simultaneous Authentication of Equals (SAE). It also delivers improved per-device encryption and stronger session key management, limiting lateral movement across the network and reducing the risk of compromised IoT devices being used as attack pivots.

A Stronger Foundation for Next-Generation Wireless

Wi-Fi 7 brings together higher performance, greater efficiency, and stronger baseline security to create a more capable wireless platform. The result is faster speeds, more predictable behavior, and built-in protections—without tradeoffs.

These advances enable more consistent performance for ultra-low-latency and bandwidth-intensive applications, including AR and VR, 4K video streaming and OTT services, premium audio for soundbars and home theater systems, gaming consoles, and security cameras.

Choosing the Right Wi-Fi 7 Solution

Wi-Fi 7 significantly expands what wireless connectivity can support—but unlocking its full potential requires a thoughtful, platform-level design. Performance, efficiency, size, and security must be considered together as connectivity and processing are integrated into increasingly constrained Edge IoT systems.

At Synaptics, these principles guide how we design and deliver Wi-Fi 7 solutions for Edge IoT applications.

Performance and Efficiency

For IoT designers, success with Wi-Fi 7 means delivering higher throughput and lower latency without increasing power consumption. Achieving this balance depends not only on the capabilities of the connectivity solution and MCU, but on how effectively they are designed to work together as a unified system.

Size and Weight

Simplified system architectures create both technical and economic advantages. Higher levels of integration improve performance, power efficiency, and reliability, while reducing Bill of Materials (BOM) complexity and production cost. Tighter integration also enables smaller, lighter designs—critical for space- and weight-constrained devices such as AR and VR glasses.

On-Chip Security

While Wi-Fi 7 strengthens security at the transport layer, it does not protect firmware or replace network segmentation and firewall-based defense. To fully realize its security benefits, designers should choose platforms with built-in, on-chip security to help safeguard firmware, credentials, and overall system integrity.

AI-Native Edge Processing and Connectivity

The convergence of low-power Edge AI–enabled microcontrollers and advanced Wi-Fi 7 connectivity marks a new frontier for intelligent devices. MCUs running applications and on-device AI rely on tightly integrated connectivity modules or SoCs to get the most out of Wi-Fi 7 capabilities.

When processing and connectivity are designed to work as a single, unified platform, designers can unlock higher performance, lower latency, and greater efficiency—doing more with less. This is where the next generation of Wi-Fi 7 Edge IoT devices will take shape, enabled by platforms built for seamless integration.

Danalto

Dublin, Ireland – February 11, 2026 – Danalto, a pioneer in location intelligence software, today announced the successful integration of Danalto’s Cardinal™ Cloud Location Engine (CLE) with Qorvo’s latest Ultra-Wideband (UWB) System-on-Chip (SoC) and industrial and enterprise SDK.

This milestone brings enterprise customers one step closer to scalable, cloud-first UWB Real-Time Location System (RTLS) solutions capable of powering next-generation asset tracking, indoor navigation, and smart facility applications.

By combining Qorvo’s UWB performance with Danalto’s cloud-native multi-technology positioning framework, developers and integrators can now evaluate and prototype high-accuracy location services with reduced integration complexity and enhanced scalability.

“The Cardinal framework’s compatibility with Qorvo’s SDK and SoC opens exciting possibilities for UWB adoption in enterprise environments,” said Finbarr Coghlan, Chief Product Officer at Danalto. “It’s a strong foundation for future solutions that combine ease of deployment with precision performance.”

“We’re enabling our ecosystem partners to innovate faster with proven UWB silicon and a robust software platform,” said Nicolas Layus, general manager of Integrated Systems at Qorvo. “Our proven UWB combination lays the groundwork for flexible RTLS architectures that can adapt to evolving enterprise needs.”

About Danalto
Danalto provides physical AI and cloud-based positioning intelligence that enables enterprise customers to deploy real-time location services using multiple positioning technologies. Learn more at www.danalto.com.

The fastest-growing products today are battery-powered, compact, and cost-sensitive, but building them is increasingly complex. Developers are under pressure to move quickly, minimize design risk, and deliver differentiated user experiences, all while working within tight power and size constraints.

This is driving strong adoption of pre-integrated, certified 2.4 GHz wireless modules as a way to reduce development cost, simplify system design, and accelerate time to market. A well-designed module eliminates the need to manage RF layout, component selection, and lengthy certification cycles, allowing teams to focus on real benefits: battery life, application features, sensor performance, and overall product differentiation.

Introducing xGM270S Wireless SiP Modules

Silicon Labs’ xGM270S wireless module family is purpose-built for this reality. These ultra-compact system-in-package (SiP) modules combine a high-performance wireless SoC, large on-chip memory, integrated RF components, and global regulatory certifications into an exceptionally small footprint. Compared to traditional PCB-based modules, xGM270S enables smaller end products, faster development cycles, and lower overall system cost, all without compromising performance or flexibility.

BGM270S: Enabling More Bluetooth LE Applications in a Compact SiP Module

The BGM270S targets a broad set of Bluetooth (LE) end-node applications, including smart home devices, asset tracking and fleet monitoring, access control, industrial automation, sport and wellness products. With a compact 6.5 × 6.5 mm LGA SiP footprint, it’s well suited for space-constrained designs where fast integration and predictable development cycles are critical.

In industrial environments, the BGM270S Bluetooth LE module works well as a controller for sensors such as temperature, pressure, and water flow. For asset tracking tags, it enables reliable connectivity with long battery life, and for portable medical devices, including oximeters and other handheld diagnostic tools, it provides a practical path to connected health monitoring and data collection. In designs with sufficient PCB area to benefit from a fully integrated module, BGM270S SiP module simplifies RF design, reduces development risk, and accelerates time to market.

MGM270S: Speeds Time to Market for Zigbee Green Power Devices

Long battery life is important for IoT end devices, but at scale—such as commercial buildings with thousands of deployed sensors—battery replacement becomes a significant operational cost. This is where the MGM270S stands out with support for Zigbee Green Power and battery-less operation.

With 768 kB of Flash and 64 kB of RAM, the MGM270S Zigbee module provides the memory footprint needed to support Zigbee Green Power while optimizing overall system cost. Its low RX and TX current enables operation from a wider range of ambient energy sources, and the compact SiP form factor makes it ideal for space-constrained devices such as sensors and switches. Combined with global regulatory certifications, MGM270S reduces both development effort and time to market for Zigbee Green Power designs.

xGM270S Wireless SiP Modules: Differentiation That Accelerates Time to Market

Across competing 2.4 GHz module offerings in this class, customers often see similar connectivity features. Where xGM270S stands out is in its combination of an ultra-compact SiP footprint, support for both Bluetooth LE and Zigbee Green Power, and the practical advantage of global certifications and production-ready software. Together, these features reduce development risk and shorten the path from prototype to production.

For customers building smart home devices, patient health monitors, or Zigbee Green Power solutions, the xGM270S value proposition is simple: enable secure, reliable wireless connectivity while keeping system costs low and accelerating time to market—without spending months becoming wireless experts.

Explore the xGM270S wireless SiP module family (BGM270S and MGM270S) to see how quickly you can bring your next connected product to life.