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3GPP

Orange Business has launched Orange Drone Guardian, a counter‑UAS service that turns telco infrastructure into a nationwide sensing fabric—arriving as drone activity, regulation, and critical-infrastructure risk converge. Orange is leveraging assets few others can: secure nationwide connectivity, cloud qualified to ANSSI’s SecNumCloud 3.2 standard, a domestic security operations capability, and a tower footprint via TOTEM’s 19,700 sites across France. The offer combines sensors, command‑and‑control software, secure cloud, and managed operations in a subscription bundle designed to scale and evolve. Delivered as a subscription, customers gain real‑time situational awareness without large upfront capex.
AT&T’s five-year, $250 billion U.S. network commitment sets the tone for the next phase of fiber, 5G, and satellite convergence as traffic, AI workloads, and resilience requirements climb sharply. The 2026–2030 window aligns with the industry’s transition into 5G-Advanced (3GPP Release 18/19), the scaling of edge AI, and increased cloud traffic between homes, enterprises, and hyperscalers. Data growth is no longer linear, and the cost of downtime is rising. Large, front-loaded builds in fiber and 5G Radio Access Network (RAN), paired with new satellite overlays, are how national carriers will chase coverage, performance, and reliability targets simultaneously.
NTT DOCOMO and Keio University have validated that commercial 5G Standalone (SA) can stably support haptic-grade robot teleoperation using network slicing and configured grant—turning years of URLLC theory into practical results. By pairing 3GPP-configured grant scheduling with a low-latency slice and Keio’s Real Haptics technology, DOCOMO showed that public 5G SA can carry force and tactile feedback with the determinism required for safe, precise manipulation. The KPIs demonstrate material improvements in latency stability, force fidelity, and motion smoothness—indicators that the control loop is resilient enough for practical tasks.
NTT DATA’s private 5G rollout across 50 Cargill facilities signals that industrial connectivity is moving from pilot projects to standardized, multi-site execution. NTT DATA has deployed private 5G at Cargill manufacturing and processing locations worldwide—mostly in the United States with live sites in Europe—enabling a connected workforce, robotics, and edge AI across plants that are often too large and complex for conventional Wi‑Fi or wired networks to cover reliably. Manufacturers are consolidating on common digital platforms and need predictable, low-latency wireless for operational data, mobile human–machine interfaces, and autonomous systems; private 5G—built on 3GPP standards with SIM-based security and policy-based QoS—offers deterministic performance at scale where legacy networks struggle.
American Tower’s latest outlook puts a hard number on a trend most operators feel on the ground: the network needs to double by the end of the decade to absorb 5G, fixed wireless access, and AI-driven traffic. Mobile data growth remains the primary engine for new network investment. As 5G adoption scales and fixed wireless access expands, capacity pressure is shifting from coverage to throughput. The next leg comes from AI. New applications—from on-device inference to computer vision at the edge—demand more bandwidth, tighter latency, and stronger uplink. That profile is different from today’s downlink-heavy usage and will stress radios, backhaul, and site power.
A new collaboration between GSMA Foundry and Singapore’s National University Health System (NUHS) aims to operationalize connected health at scale, with Ericsson and Singtel anchoring the 5G foundation. Healthcare digitization has moved from pilots to production, but most sites still struggle with deterministic connectivity, secure data exchange and workflow integration. The program combines private 5G with digital twin, XR, IoT and ambient AI to improve outcomes and operational resilience across care pathways. Early focus areas include 5G-enabled remote surgical assistance with ultra-reliable, low-latency links; immersive XR training and simulation that compress learning curves; autonomous and semi-autonomous robotics for logistics and point-of-care tasks; and AI-guided imaging such as vein visualization.
SK Telecom introduced ATHENA—an architecture grounded in AI-native operations, Zero Trust security, hyper-connectivity, openness, and cloud-native design—to guide mid- to long-term evolution across RAN, core, transport, and network data platforms. The operator positions “AI for network” and “network for AI” as dual tracks: the former embeds AI into decision loops for autonomous optimization, while the latter tunes the network fabric to serve AI workloads efficiently. SK Telecom will showcase related technologies at MWC Barcelona 2026, including AI agents for networks, AI-RAN for combined connectivity and compute, device-side AI for antenna tuning, and integrated sensing-and-communications.
Nokia and Amazon Web Services (AWS) are bringing agentic AI to 5G-Advanced network slicing, moving closed‑loop, intent-based services from PowerPoint to live pilots with du and Orange. The partners unveiled an agentic AI-powered slicing solution that fuses Nokia’s RAN-to-core slicing, AirScale radio, and MantaRay SMO with AWS’s Bedrock AI platform and EKS Hybrid Nodes to turn external context—events, traffic, maps, weather—and live network KPIs into real-time policy decisions. The result is adaptive, premium slices provisioned when and where they’re needed, without manual reconfiguration.
Samsung Electronics, working with KT Corporation and Keysight Technologies, has demonstrated 3 Gbps peak downlink in outdoor tests using an ultra‑dense antenna system and X‑MIMO in the 7 GHz band. The field trial took place at Samsung’s Seoul R&D Campus and pushed eight concurrent spatial streams from a base station to a single user device. The key enabler was a radio unit that packs roughly four times the antenna elements of today’s 5G massive MIMO gear into a similar physical footprint. Shorter wavelengths at 7 GHz make that density feasible without expanding the radio size.
Anthropic has introduced Claude Code Security, an AI capability that reviews codebases, flags complex vulnerabilities, and proposes patches with human oversight, and its early results should change how security leaders plan for AI on both offense and defense. Anthropic reports that its latest Claude Opus 4.6 model helped uncover more than 500 vulnerabilities in production open-source projects, including issues that had persisted for years. The product centers on high-signal findings, structured triage, and human-in-the-loop remediation so it can slot into existing DevSecOps workflows.
A new partnership between Infosys and Anthropic brings agentic AI into regulated, process-heavy industries, with telecom squarely in scope. Infosys will integrate Anthropic’s Claude models and Claude Code with its Topaz portfolio to build and operate enterprise-grade AI solutions across telecom, financial services, manufacturing, and software engineering. The collaboration emphasizes agentic AI—systems that can plan, call tools, and execute multi-step workflows with oversight—delivered with the controls, auditability, and policy enforcement that regulated sectors demand. Pairing Infosys’s domain depth with Claude’s reasoning and long-context capabilities gives operators a path to pragmatic automation that respects regulatory, safety, and transparency requirements.
India’s AI agenda increasingly spans silicon, data platforms, models, and applications, with an intent to catalyze domestic innovation and contribute to global ecosystems. For telecom leaders, the message is clear: AI is not a bolt-on capability but a system-level transformation that touches RAN, core, transport, cloud, and the enterprise edge. The AI economy runs on connectivity—low-latency access to data, assured bandwidth, location-aware processing, and programmable control. The operators that can fuse connectivity, compute, and data into a cohesive platform will set the pace for India’s next wave of digital growth.

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