Emerging healthcare applications including real-time diagnostics, remote monitoring, and computer-assisted surgery demand strict Quality of Service guarantees while managing limited edge resources. Current Internet of Medical Things (IoMT) orchestration approaches prioritize communication metrics like latency and bandwidth but neglect edge resource constraints and dynamic adaptation. This paper introduces a novel resource-slicing-based adaptive orchestration framework integrating 5G network slicing, resource-aware orchestration, and mobility-aware task offloading. The system assigns IoMT services to distinct 5G network slices while jointly considering CPU capacity, memory, and storage availability, enabling more efficient service placement. It additionally supports user mobility and dynamic task offloading to maintain service continuity under changing conditions. SimPy-based simulation validation demonstrates the method enhances deployment efficiency, reduces request blocking, and improves user acceptance across diverse IoMT scenarios. This work addresses critical challenges in distributed edge computing environments where traditional cloud-centric approaches suffer from high latency and connectivity dependency, while edge resources remain limited and heterogeneous despite their proximity advantage.

50G PON represents the third generation of passive optical network technology, standardized by the ITU-T G.9804 series and also known as G.HSP or Higher Speed PON. It delivers a significant capacity upgrade over the widely deployed GPON and XGS-PON networks, offering 50 Gbps downstream and 25-50 Gbps upstream capabilities. This technology enables advanced services including 8K ultra-high-definition video, Industrial Internet applications, and AI computing. Following GPON's introduction around 2007 and XGS-PON's deployment circa 2016, 50G PON maintains backward compatibility with earlier generations through strategic wavelength planning, allowing operators to gradually migrate without requiring complete infrastructure replacement. Each PON generation has pursued increased bandwidth per subscriber while utilizing existing fiber infrastructure. While XGS-PON is expected to remain dominant through 2026, 50G PON achieves its fivefold downstream speed increase through advanced digital signal processing and enhanced forward error correction, maintaining performance over the same 20-kilometer reaches and 1:64 split ratios as predecessor technologies, making it crucial for operators planning next-generation access network upgrades.

Equatys, a new direct-to-device mobile satellite venture, has launched with a $1 billion equity commitment from Space42 and Viasat to address dropped calls for mobile network operators. Announced at the World Space Business Week in Paris, the company is developing a shared satellite infrastructure model leveraging 3GPP non-terrestrial network standards to enable seamless handover between cellular and satellite coverage. The service utilizes S-band and L-band spectrum to integrate satellite and mobile networks without requiring users to manually switch services or pay premium rates. Space42 CEO Ali Al Hashmi emphasized that the approach mimics a TowerCo model in space, providing pooled spectrum resources that benefit MNOs and their customers while maintaining operator sovereignty and avoiding competitive threats. Equatys plans to build a low-Earth orbit constellation and ground infrastructure for this service, which currently does not exist in the market. The collaborative approach enables economically feasible satellite connectivity directly from smartphones, positioning the venture to fill coverage gaps while maintaining seamless user experience aligned with evolving 6G standards.

Sateliot, a European satellite telecommunications operator, is launching five new satellites on SpaceX's Transporter-18 mission this Thursday to expand its 5G NTN IoT network. The Draconis mission, lifting off from Vandenberg Space Force Base aboard a Falcon 9 rocket, will bring Sateliot's total constellation to eleven satellites. The new units, manufactured by Alén Space and measuring 20 x 10 x 35 centimetres at 10 kilograms each, feature significant technological enhancements including optimized payloads, upgraded onboard computers, improved attitude control systems, and radiation-resistant memory. Orbiting at 510 kilometers altitude with a five-year operational lifespan, these satellites will double daily connection passes while halving revisit time for IoT devices in areas lacking terrestrial coverage. The improved platform design reduced manufacturing time by fifty percent compared to the 2024 mission. Exolaush handles mission integration, while KSAT, Leaf Space, and Comfone provide ground segment support. This deployment advances Sateliot's commercial strategy of offering wholesale connectivity services to mobile operators in remote regions.

Post-quantum cryptography (PQC) and quantum key distribution (QKD) represent complementary defenses against quantum computing threats to current encryption standards. This comprehensive survey organizes hybrid PQC–QKD approaches that combine both techniques to ensure security even if one component fails. The authors establish a taxonomy across eight dimensions including integration layer, combiner construction, authentication scope, and QKD topology, then evaluate published protocols such as Muckle, MACsec and TLS integrations, and IKEv2 mechanisms standardized in RFCs 8784, 9370, and 9867. The analysis examines key-combiner constructions against NIST, ETSI, and ITU-T guidance while mapping security arguments onto common evaluation frameworks. Deployment evidence from metropolitan and national QKD networks distinguishes operational testbeds from pure-QKD implementations. The survey addresses standards and policy positions, including national security agencies' recommendations against relying on QKD alone. Key open challenges include authenticating QKD classical channels, shared-infrastructure threat models, device certification versus formal proofs, and verification of hybrid handshakes. This synthesis provides essential guidance as organizations prepare for quantum-resistant cryptographic transitions.

Over the past four months, I’ve advised several Physical AI companies on different topics, including communications. It’s given me an interesting perspective on an industry moving surprisingly fast. Delivery robots are navigating sidewalks, drones are inspecting infrastructure and delivering packages, and robotaxis are expanding into more cities. And these are only the first applications. Over the next decade, we could have millions of autonomous machines roaming around our cities, performing jobs that until recently required humans. But there is an interesting question behind all this excitement. How the hell do you train all these little guys to operate in the real world?

There was a time when computing was so expensive and complex that it had to run on massive centralized machines called mainframes. Then advances in hardware, software and applications made it possible to move computing into personal computers. That shift created an entirely new industry and changed the economics of technology forever. Does the story sound familiar?

Telcos have spent enormous effort improving customer service, yet something as simple as broken roaming, a billing error, or an eSIM problem can still turn into a nightmare. Customers no longer compare their telco with another telco, but they compare their experience with Amazon, Apple, Uber, their bank, and every other digital service they use every day. Against that benchmark, telecom has a problem.

Wall Street wiped tens of billions of dollars off the combined market value of Verizon, AT&T, and T-Mobile after SpaceX announced its latest spectrum acquisition. Investors are suddenly worried about Elon Musk building a fourth mobile operator in the United States. But I think another problem is developing, and it could affect the industry much sooner than most people expect. The United States is preparing one of its largest spectrum release cycles in years, with at least 800 MHz covered by auction mandates extending through 2034. Verizon, AT&T, and T-Mobile will need to decide how much additional spectrum they require for 5G and eventually 6G, while SpaceX is assembling the assets to become a credible competitor in parts of the mobile market.

On October 13, Nokia announced that it had signed an agreement to sell its Enterprise Campus Edge business to AURELIUS, a private equity investor specializing in corporate carve-outs. This is the business behind much of Nokia’s success in private LTE and 5G, including its Digital Automation Cloud, industrial edge computing platforms, devices and applications. The buyer will gain nearly 900 enterprise customers across manufacturing, mining, logistics, airports, ports, and utilities. The transaction price has not been disclosed, and completion is expected during the first half of 2027. This is a substantial business in terms of market presence. According to Berg Insight, Nokia had approximately 960 private LTE and 5G customers and more than 2,000 network deployments worldwide at the end of 2025.

Nokia announced accelerated global adoption of AI-RAN technology, with major operators including A1 Group, Chunghwa Telecom, du, e&, Mobily, stc, TPG Telecom, and Zain Saudi progressing from evaluation to laboratory and live field trials. This advancement marks AI-RAN's transition from theoretical concept to commercial deployment across North America, Europe, Asia-Pacific, and the Middle East. Nokia's industry-first commercial AI-native RAN platform, developed in collaboration with NVIDIA on platform and software tools, has demonstrated over 20 percent improvements in spectral efficiency through AI-powered radio innovations. The platform combines Nokia's AI-native anyRAN software with NVIDIA Aerial RAN Computer to enable operators to extract greater performance from existing spectrum assets. A continuous software innovation roadmap extending through 2027 and 2028 promises further spectral efficiency gains. This technology matters because it transforms radio networks into programmable platforms supporting both connectivity and artificial intelligence workloads, enabling operators to increase capacity, improve network economics, and create new service opportunities while reducing dependence on traditional hardware refresh cycles—critical as AI applications drive new traffic patterns and distributed computing requirements.

Intracom Telecom, leveraging over 30 years of European research innovation, has positioned itself strategically within the EU's 6G SNS JU initiative aimed at establishing European technology sovereignty in next-generation networks. The company participates actively in multiple forefront research and innovation projects as a Full Industry Member of 6G-IA, Pioneer member of 6G Flagship, and member of one6G. Intracom's 6G vision focuses on connecting human, physical, and digital worlds to enable advanced applications including Extended Reality, Internet of Senses, Cobots, and Massive Twinning. The company's research concentrates on critical enabler technologies such as THz communications, AI and Edge Intelligence, Reconfigurable Intelligent Surfaces, Joint Communication and Sensing, and Non-Terrestrial Networks. Intracom's specific technical contributions include intelligent edge cloud resource management, AI and Machine Learning Operations mechanisms for Native-AI architectures, baseband processing for RIS-based antennas, photonics-enabled transceivers for THz bands, and disaggregated X-Haul as a Mobile Edge Computing hosting platform. This strategic positioning strengthens Europe's competitive capability in 6G development.

Metamaterials are emerging as transformative technologies for next-generation information and communications systems, addressing growing demands for faster connectivity, expanded bandwidth, reduced latency, enhanced security and lower energy consumption. The UK Metamaterials Network brings together diverse expertise across telecommunications, photonics, electronics, quantum technologies, sensing and computing to advance these innovations. Metamaterial-enabled antennas, filters and reconfigurable intelligent surfaces enhance coverage, capacity and spectrum utilisation for 5G networks, 6G research, satellite communications and non-terrestrial applications. The technology unlocks the previously inaccessible terahertz spectrum for ultra-high-speed communications, advanced imaging and security screening through engineered compact components. Photonic metamaterials and metasurfaces manipulate light at subwavelength scales, enabling next-generation optical communications and integrated circuits while addressing energy demands in data centres and AI infrastructure. Beyond signal transmission, metamaterials support emerging computational approaches including analogue computing, neuromorphic systems and magnonic devices, potentially delivering faster, more energy-efficient processing for specialist applications. Additionally, metamaterial-enabled sensors and energy harvesting devices enable low-power connected systems for smart infrastructure, industrial monitoring and environmental sensing, reducing maintenance costs while improving asset awareness and facilitating intelligent decision-making across distributed networks.

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Telecom networks employ extensive automation through configuration templates, assurance systems, and AI/ML optimization, yet true autonomy remains elusive. The distinction between automation and autonomy is critical: automation executes bounded tasks while autonomy requires coherent system governance. BubbleRAN defines an autonomous network as a self-governing communications system that continuously translates stakeholder intent and live network conditions into safe, verifiable actions—reconfiguring services, APIs, control logic, and resources while detecting faults and improving capabilities without routine human intervention. This autonomy emerges as a system property when sensing, reasoning, optimization, validation, actuation, governance, and learning operate as one continuous loop. Industry frameworks including TM Forum's operational scenario measurements, ETSI ZSM's zero-touch management standards, and O-RAN's open control surfaces through SMO, RICs, and applications provide foundational approaches. BubbleRAN extends these frameworks by addressing whether networks can convert changing intent into continuously verified outcomes across domains and timescales while maintaining operator authority and policy compliance. True autonomous networks require integrated control loops rather than isolated AI models or automated scripts.

Network X 2026 is set to convene Europe's leading telecommunications companies in Vienna, marking a significant expansion of the conference's European focus. The event will showcase industry innovation and excellence through its Network X Awards 2026, which has announced its finalists across multiple categories. The conference agenda emphasizes connectivity's future, with the expo floor featuring discussions on artificial intelligence, 5G networks, and data management technologies. Major industry players including Huawei and ZTE are driving innovation in intelligent networking solutions. Huawei has unveiled its fully upgraded Xinghe Intelligent Network offerings specifically designed for European markets, supporting digital transformation and industry intelligence development. ZTE is hosting a complementary Global Summit & User Congress 2025 in Milan centered on expanding intelligence capabilities. These gatherings underscore the telecommunications sector's commitment to advancing network infrastructure, emerging technologies, and professional services across Europe, positioning the region as a hub for next-generation connectivity solutions and digital innovation.

The European Union faces a complex challenge regarding Chinese technology, with two distinct debates often conflated: cybersecurity and tech sovereignty concerns, addressed through the Cybersecurity Act and European Tech Sovereignty Package, and economic impacts on Europe's manufacturing sector, targeted by the Industrial Accelerator Act. Growing alarm surrounds Chinese electric vehicles threatening German manufacturing, potential grid sabotage via solar panel inverters, and concerns about Huawei's role in European telecoms. However, conflating security and economic arguments proves counterproductive long-term. The EU must adopt a nuanced approach: protecting its industrial base from Chinese competition while leveraging Chinese technological expertise and innovation ecosystems where beneficial. Simultaneously, it must establish a geopolitical framework guarding against technology weaponization—where China presents risks alongside other actors—while maintaining clear boundaries for tech sovereignty. Success requires balancing strategic independence with pragmatic engagement, recognizing that European competitiveness and innovation often depend on accessing leading Chinese technological capabilities across multiple sectors.

Nokia has successfully demonstrated a 20 percent spectral efficiency gain through AI-RAN trials conducted across eight global telecom operators including A1 Group, Chunghwa Telecom, du, e&, Mobily, stc, TPG Telecom, and Zain Saudi, with ongoing live trials at NTT DOCOMO. The field trials represent a transition from laboratory testing to production base station deployments. Nokia's AI-native RAN platform converts traditional fixed-function radio access networks into programmable software nodes, enabling simultaneous baseband connectivity and enterprise computing workloads on shared hardware. This addresses rising uplink demands from distributed AI models and device-side workloads driven by evolving network traffic patterns. The commercial foundation combines Nokia's anyRAN software suite with NVIDIA's Aerial RAN Computer, delivering a software-defined architecture for 5G with a pathway to 6G standards. The verified algorithmic optimizations allow carriers to enhance cell throughput and extract greater commercial value from existing spectrum allocations without requiring expensive physical antenna infrastructure upgrades. Both companies are developing open ecosystem software tools to encourage third-party OEM participation, positioning AI-RAN as foundational technology for future telecommunications networks.

AI is apparently eating the world, although it just isn’t eating many household credit cards yet. Bank of America found that only around 3% of its U.S. households were paying for AI services in early 2026, with median spending of roughly $20 per month. PNC independently landed in almost the same place, with 2.2% of households in its dataset paying for GenAI subscriptions in May, although those who did paid an average of about $31 a month. Two major banks, two independent transaction datasets, getting essentially the same conclusion.

Deutsche Telekom held its AI Investor Day this week, and it was one of the more interesting attempts I have seen from a telecom operator to explain what AI could actually mean for the industry. Most telcos still talk about AI through customer-service bots, coding copilots, and a collection of isolated use cases. DT presented something much broader: AI as an enterprise redesign that touches the network, customer interaction, software, infrastructure, and eventually the products the company sells. It is difficult to argue that many operators are further along in putting all those pieces together.