Innovations In Wireless Technology

6G is on the horizon!! I am excited to share my research on "Spectral Efficiency Considerations for 6G." As wireless connectivity evolves towards 6G, there is an ever-increasing demand to not only deliver higher throughput, lower latency, and improved reliability, but to do so as efficiently as possible. To this point, the term efficiency has been quantified through applications to Spectral Efficiency (SE) and Energy Efficiency (EE). In this paper we introduce a new system metric called Radio Resource Utilization Efficiency (RUE). This metric quantifies how efficiently the radio resources are utilized to deliver user services. The system performance of Typical Cellular and Cell-Free Massive MIMO deployments are compared to demonstrate the need for this new metric. An example 5G network yields an RUE of 47% (revealing significant room for improvement when defining 6G). We introduce three categories that impact SE: Radio Resources, Practical Limitations and Implementation Losses. Practical limitation assumptions are compared to 5G Multi-User MIMO measurements conducted in commercialized deployments. Implementation losses are characterized to offer guidance to advanced algorithms employing Machine Learning (ML) based techniques. 🔗 Read the paper: https://lnkd.in/gfPGnTPm #6G, #5G, #GPU, #RUE, #AIRAN, #AI, #MassiveMIMO, #WirelessCommunication, #SpectralEfficiency, #CellFreeMassiveMIMO, #EnergyEfficiency, #MUMIMO

🚀 New open-access paper on 6G and Cell-Free Distributed MIMO 🚀 I’m happy to share our latest IEEE Communications Magazine article: “Why User-Centric Cell-Free Distributed MIMO Systems Will be the Disruptive 6G Technology.” https://lnkd.in/dzSdYJAj This work is a joint effort between Politecnico di Milano and Università degli Studi di Cassino e del Lazio Meridionale, and the result of a close collaboration with my co-authors 👉 Francesco Linsalata, Eugenio Moro, and Giovanni Interdonato. 📡 Why cell-free? We argue that user-centric cell-free (distributed) MIMO is not just an incremental improvement over cellular massive MIMO, but a structural shift that can enable a real performance leap from 5G to 6G—in terms of uniform user experience, reliability, energy efficiency, and support for new services such as MEC, URLLC, and ISAC. 🔑 Three key enabling technologies make cell-free viable at scale in 6G: O-RAN → architectural disaggregation, openness, and programmability Digital Network Twins → real-time modeling, optimization, and control of ultra-dense networks AI-native PHY and MAC → scalable, adaptive, and energy-efficient operation 📖 The paper presents 10 compelling technical and economic reasons for adopting user-centric cell-free architectures, and discusses how current standardization trends are already moving in this direction. 🔓 The paper is fully open access, and I hope it can be useful both to researchers and to industry colleagues thinking about what 6G networks should really look like. 👉 Feedback and discussion are very welcome! #6G #CellFree #DistributedMIMO #ORAN #DigitalTwin #AIforWireless #IEEEComMag #WirelessResearch

Exploring the Future of Wireless Communication with Intelligent Metasurface Our latest collaborative work titled "Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications" explores groundbreaking advancements in intelligent metasurfaces, an area poised to redefine the landscape of wireless communication: 🔹 Reconfigurable Intelligent Surfaces (RIS): These programmable surfaces enable dynamic manipulation of electromagnetic waves, significantly enhancing network coverage and energy efficiency. 🔹 Stacked Intelligent Metasurfaces (SIM): By processing electromagnetic signals directly in the wave domain, SIMs unlock powerful capabilities in beamforming, radar sensing, and even real-time image classification—all at the speed of light. 🔹 Flexible Intelligent Metasurfaces (FIM): These morphable surfaces adapt to dynamic wireless environments, opening up possibilities for 3D surface-shape morphing, which can improve signal quality and coverage in challenging scenarios. 🔹 Applications and Future Potential: From enabling cost-effective 5G and 6G networks to transforming IoT, radar systems, and autonomous vehicles, metasurfaces offer scalable solutions to modern communication challenges. In the era of 6G, these technologies can turn traditionally uncontrollable wireless environments into smart, programmable spaces. Imagine a future where wireless communication infrastructure becomes an integral part of data processing, seamlessly merging AI and telecommunications...this is what we are building. Link to the paper:

Are lasers the future of data transfer? 🔬 A chip smaller than 1 mm² just transmitted data at 362 Gbps… Using light instead of radio waves. WiFi and cellular networks are hitting a wall. Radio frequencies are getting crowded, interference is growing in dense indoor environments, and energy consumption keeps climbing. By 2030, global wireless traffic is expected to exceed 473 exabytes per month. Optical wireless communication offers an interesting alternative: more bandwidth, no electromagnetic interference, and directional beams for security and spatial reuse. Recently, a team at the University of Cambridge built a chip-scale transmitter based on a custom 5×5 array of VCSELs (vertical-cavity surface-emitting lasers) operating at 940 nm. 🔹 362.71 Gbps aggregate data rate across 21 active lasers 🔹 ~1.4 nJ/bit energy consumption — nearly half that of state-of-the-art WiFi 🔹 Integrated beam-shaping micro-optics producing a uniform grid of square beams with >90% spatial uniformity at 2 m distance. A custom microlens array (70 µm pitch, matched to the VCSEL array) collimates each beam individually. Then a cascade of plano-concave lenses and beam homogenizers reshapes each output into a clean, separated square illumination spot. This is how you go from 25 lasers firing in a millimetre-scale chip to structured indoor coverage, the team demonstrated 4 simultaneous links at ~22 Gbps aggregate, confirming the concept works in practice. A few weeks ago I posted about NVIDIA investing $4B in laser companies to solve the copper bottleneck inside data centers. This paper tackles the other end of the chain, the last meters between the access point and the user. Similar physics, same conclusion: photons are quietly replacing electrons at every stage of data transfer. Note that this is likely not replacing WiFi, it's what comes alongside it. Imagine ceiling-mounted optical access points delivering secure, interference-free, multi-gigabit connections in offices, hospitals, data centres, and VR/AR environments. And the performance was limited by the 1.4 GHz bandwidth of a commercial off-the-shelf receiver. The VCSELs themselves support 15 GHz. There is a lot of room left. The future of indoor connectivity might not be radio. It might be light. 🔬 What do you think, will optical wireless become a standard complement to WiFi in the next decade? 🔗 Paper link in the first comment. Congratulations to Hossein Safi, Iman Tavakkolnia, Harald Haas and the full team at the LiFi Research and Development Centre (LRDC). This work was published in Advanced Photonics Nexus (SPIE, the international society for optics and photonics). Image modified from the paper and from NASA - National Aeronautics and Space Administration. #Photonics #OpticalWireless #LiFi #VCSEL #6G #Semiconductors #Optics #EnergyEfficiency #ChipScale #DeepTech

As we have all been saying, the grid is no longer just an engineering challenge—it’s the primary bottleneck for the future of AI and the energy transition. The barrier: human and bureaucratic processes. Who has a solution for this? At CERAWeek 2026 this week, the atmosphere has shifted from "How do we decarbonize?" to a much more urgent "How do we plug in?" With interconnection queues stretching 5–10 years and turbine lead times hitting 2030, speed to power is the new global currency. A new wave of "Grid-Tech" companies is moving past legacy manual processes to solve the bottleneck through software, digital twins, and flexible load. Here are the innovators leading the charge to break the logjam: 1. As I wrote in my last post, NVIDIA & Emerald AI’s solution: By treating AI data centers as "virtual batteries," this software allows hyperscalers to bypass years of grid study. Instead of a fixed-load connection, they use AI to dynamically flex power consumption during grid stress. This "flexible interconnection" model could unlock up to 100 GW of capacity by optimizing the grid we already have. 2. Enverus (Pearl Street Technologies)’s solution: Interconnect™ (Study Automation) The manual process of "power flow studies" is a primary cause of queue delays. Enverus is using its SUGAR™ engine to automate these complex reliability simulations, reducing the time required for interconnection studies from months to just a few days. 3. @Tapestry (X, The Moonshot Factory)’s solution: Grid Digital Twin (Visibility) I’ve been excited about Tapestry building a high-fidelity "Google Maps for electrons." By creating a unified digital twin of the grid, they allow operators like PJM to run transient simulations in real-time, identifying exactly where new projects can fit without triggering expensive, time-consuming network upgrades. 4. Neara The Solution: 3D Infrastructure Modeling (Reconductoring) Before building new towers, we must maximize existing ones. Neara’s platform uses 3D digital twins to simulate "reconductoring"—replacing old wires with high-capacity advanced conductors. This allows developers to find "low-hanging fruit" capacity that can be brought online in a fraction of the time. 5. GridStatus The Solution: Real-Time Data Transparency You can't manage what you can't see. GridStatus has become the de facto data layer for the energy transition, providing the real-time transparency into grid congestion and pricing that developers need to site projects where the grid can actually handle them. The technology is ready. The capital is waiting. We need regulatory frameworks to keep pace with these digital solutions. #CERAWeek #CleanTech #EnergyTransition #GridModernization #AI #DataCenters #SpeedToPower

2025: The AI-Native Telco In the 1990s, Wall Street’s trading floors were crowded with traders shouting and signaling. Today, algorithms and supercomputers dominate, executing trades faster and more precisely than humans ever could. Telecom is undergoing a similar transformation. The concept of the AI-Native Telco is emerging: a telecom model where AI powers network management, reduces costs, and drives innovation. This shift is critical as telcos face growing complexity: managing millions of network elements, adapting to variable traffic patterns, and addressing the challenge of operating expenses (OPEX) consuming 80% of sales revenue. South Korea’s telcos are leading the way. SK and KT have implemented AI strategies that are setting new standards: - SKT’s AI-RAN Parameter Recommender: By automating 5G base station parameter adjustments, SKT has reduced maintenance costs, including a $1.1bn US annual expense driven by electricity and utilities. The AI tool optimizes radio signals, cutting errors and improving network quality. - KT’s AI Meister: Deployed in 2024, this platform streamlines operations for wired and wireless networks, providing real-time diagnostics and predictive maintenance to minimize downtime and enhance efficiency. South Korea’s success also stems from strategic partnerships. SKT collaborates with Samsung on AI-driven RAN optimization, while KT’s $2 billion alliance with Microsoft focuses on building AI capabilities, including customized AI solutions and sovereign cloud services. The complexity of modern networks makes manual management unscalable. AI solutions such as real-time traffic optimization, predictive analytics, and automated diagnostics are essential. For instance, SKT’s on-device AI tested with MediaTek and Nota improved smartphone battery life by optimizing network connections, a critical feature as 5G drives higher energy demands. The Next Five Years As networks evolve, the AI-native model will become the industry standard. South Korea provides a clear roadmap: leverage AI to optimize networks, reduce costs, and empower employees with new tools. The race is on, and the question remains—who will rise to the challenge?

⚠️ ⚠️ A Follow-Up to My Previous Post: The Threat to EDS Suppliers Just Got Bigger A few months ago, I shared my thoughts on how zonal architecture is set to disrupt the EDS industry by drastically reducing wiring content in vehicles. (If you missed it, you can catch up in my profile’s posts : https://lnkd.in/e-Dz_a8j ) But there’s another layer now; wireless connectivity inside the car. And when combined with zonal architecture, the impact could be even more severe for traditional wiring harness manufacturers. ==> Wireless In-Vehicle Networks: The Next Blow? OEMs are actively exploring wireless communication to replace conventional wiring in several applications: • Seat modules (memory positions, heating, massage) • Door controls (windows, locks, mirrors) • Interior lighting systems • Roof modules / tailgates • Sensor networks (temperature, pressure, proximity) • Battery management systems (BMS), especially for modular and cell-to-pack batteries in EVs • Tire pressure monitoring systems (TPMS) • Charge port status & communication The goal? Eliminate entire sub-harnesses and reduce electrical complexity with wireless links. ✅ No wires ✅ No connectors ✅ No routing complexity ✅ No harness cost 🔬 What Wireless Technologies Are Being Considered? Several protocols are under development or already tested in automotive environments: • Bluetooth Low Energy (BLE): For low-bandwidth control & diagnostics • Ultra-Wideband (UWB): For high-speed, low-latency data and precise positioning • Zigbee / Thread: Ideal for distributed systems in a mesh network (e.g., cabin or lighting) • Wi-Fi 6 / 6E: For zonal communication and high-data infotainment links • Near-Field Communication (NFC): Used in authentication and access control • Proprietary RF for BMS: Used in wireless battery monitoring to reduce HV connector risks and improve modularity This shift is no longer theoretical ; multiple OEMs have pilot programs or production vehicles with partial or full wireless networks already in place. 🔍 What Happens When You Combine Zonal + Wireless? Zonal architecture already cuts wiring length by up to 50%. Add wireless to the mix, and entire segments of wiring harnesses might disappear. 📉 Less copper 📉 Less assembly 📉 Fewer part numbers 📉 Smaller harness teams 📉 Lower revenues - unless we adapt. So, what’s the path forward? If you’re in the EDS world, the message is clear: You can’t just be a harness builder anymore. You must become a system integrator, a network architecture partner, or a smart component supplier. 🚨 This isn’t the future. It’s already happening. I’d love to hear your thoughts; ➡️ Are we underestimating the impact of wireless in-vehicle networks? ➡️ How can traditional harness manufacturers pivot before it’s too late?

Some very interesting choices in the latest National Telecommunications and Information Administration (NTIA) funding round from its Wireless Innovation Fund. The focus is on #OpenRAN RUs (radio units) and there’s some very forward-looking ideas for #5G and also #6G. Airspan Networks got 4x the cash of any of the other eight applicant, which is interesting given its financial challenges in recent years, and recent restructuring (it was taken private a few months ago). It’s a potential key player for 3rd party 5G RUs in specific domains (eg indoor, rail, military, specific capabilities) where MNOs get their CU/DU from a single major vendors, but want still supplier diversity in the RAN. DeepSig, Inc. is working on spectrum-sensing built into the RAN, a concept which I wrote about recently (see link in comments). That’s potentially really important in various #spectrumsharing scenarios, as well as for interference detection and mitigation. There seem to be three projects focused on “upper midband” radio components and also MIMO for future 6G in 7-24GHz - it seems that Otava, Inc , NYU WIRELESS and Analog Devices are all looking at that. [NB - I’ll be looking at any changes to US spectrum policy & new bands / auctions under the new administration, in coming months]. SecureG is developing a way to identify radio hardware components uniquely - something that gets more important for supply chain verification & security in a multi-vendor network. The Episys Science award references 3GPP Sidelink (which is for device-to-device connectivity) in the context of OpenRAN. I’m not sure exactly what that refers to, but I suspect it’s for defence-sector 5G / 6G networks, where connections may be important in places & situations without traditional MNO infrastructure. Rampart Communications has its own physical layer technology for wireless & looks to be pushing it as a future 6G protocol, talking about its spectral efficiency. It also has a defence background. Skylark Wireless is working on combining SDR and MIMO within an OpenRAN RU. There’s also notable line in the press release around MNO partnerships as well “Applicants were required to partner with a mobile network operator to help produce products that will be commercially viable”. It’s unclear if that just means mainstream commercial MNOs, or if it can also include private networks, integrators & specialist network operators. Overall, this further underscores US interest in OpenRAN and a domestic / sovereign supply chain - and also the growing importance of cellular networks in sectors like the military. https://lnkd.in/ea5xsBbY

Exciting news! We've published our latest research, "NVIDIA AI Aerial: AI-Native Wireless Communications," outlining a critical path to realizing the vision of 6G networks. The future of 6G demands a fundamental shift toward AI-native wireless systems, requiring the seamless convergence of digital signal processing (DSP) and machine learning (ML) within cellular network software stacks. In our work, we introduce a powerful and flexible framework that efficiently compiles high-level Python algorithms into highly optimized, GPU-runnable code. This unified approach guarantees peak performance on NVIDIA GPUs. We demonstrate this framework's power by successfully replacing the traditional channel estimation function in the PUSCH receiver with a Convolutional Neural Network (CNN), first in a digital twin simulation and then in a real-time testbed, showing impressive gains in throughput. Our NVIDIA AI Aerial platform lays the essential foundation for scalable integration of AI/ML models into next-generation cellular systems, making natively intelligent 6G a reality. Check out the full paper for details on our framework, architecture, and performance results: "[2510.01533] NVIDIA AI Aerial: AI-Native Wireless Communications" https://lnkd.in/gyMjxzfD Thrilled to have collaborated on this with an incredible team: Michael Roe Zhen Hu Rohan Chavan Anna Ptasznik Joanna Lin João Morais Joseph Boccuzzi Tommaso Balercia #5G #6G #AI #WirelessCommunications #Telecom #NVIDIA #Research #DigitalTwin #RAN #AIRAN #AINATIVE #CUDA #ORAN

Integrated Sensing and Communication (ISAC): Shaping the Future of Wireless Technology As we move closer to the 6G era, one of the most transformative innovations is Integrated Sensing and Communication (ISAC). This groundbreaking technology merges two critical functions—wireless communication and environmental sensing—into a single, unified system. What is ISAC? Imagine a network that not only transmits data but also “senses” its surroundings, providing precise information about objects, motion, and environments. ISAC does exactly that, enabling real-time, dual-purpose functionality with unparalleled efficiency. Why does it matter? 3- Efficient Spectrum Use: ISAC maximizes spectrum utilization by combining sensing and communication in the same frequency bands. 2- Low Latency: Delivers ultra-fast responses for time-critical applications like autonomous vehicles and industrial automation. 3- Cost Savings: Reduces the need for separate infrastructure for sensing and communication, making it cost-effective and scalable. 4- Revenues scaleup: support and leverage new revenues verticals for SPs Key Applications: - Autonomous Vehicles: ISAC enhances vehicle-to-everything (V2X) communication while simultaneously sensing nearby objects, ensuring safer navigation. - Smart Cities: Enables precise environmental monitoring for traffic control, pollution management, and energy optimization. - Industrial IoT: Powers real-time monitoring and control in factories for predictive maintenance and process automation. - Healthcare: Facilitates contactless monitoring of vital signs, revolutionizing patient care. Looking Ahead ISAC is poised to redefine how we interact with our world, making networks not just faster but also smarter. As 6G development accelerates, ISAC will be at the heart of applications like smart homes, connected healthcare, and immersive experiences in AR/VR. What are your thoughts on the potential of ISAC? How do you see it shaping industries in the coming years and what are the challenges of this technology of adoption ? #6G #IntegratedSensingAndCommunication #WirelessInnovation #FutureTechnology