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India Mobile Congress 2026: AI-Native 6G Networks, PM Modi, and Bharat’s Connectivity Vision

IMC 2026 at Yashobhoomi, New Delhi highlights AI-native 6G standards, compute-connectivity convergence, Bharat 6G Alliance, and India’s mission-mode approach to global standard leadership.

Editorial photograph: India Gate 1 (New Delhi).jpg
Editorial visual documentation: India Gate 1 (New Delhi).jpg.

Prime Minister Modi Inaugurates IMC 2026 at Yashobhoomi Under ‘Scale Without Boundaries’

On October 7–8, 2026, the 10th milestone edition of the India Mobile Congress (IMC 2026) opened at the Yashobhoomi Convention Centre in Dwarka, New Delhi. Inaugurated by Prime Minister Narendra Modi alongside Union Minister for Communications Jyotiraditya Scindia, this year’s forum convened over 150,000 delegates, 900 technology exhibitors, and ministerial delegations from 120 nations under the overarching theme “Scale Without Boundaries”.

In his inaugural address, Prime Minister Modi outlined India’s rapid transformation from a technology importer that lagged years behind global 3G and 4G rollouts into a telecommunications powerhouse that deployed the world’s fastest standalone 5G network across 780 districts and now holds over 10% of global 6G patent filings.

Central to the Prime Minister’s vision was the convergence of India’s Digital Public Infrastructure (DPI)—Aadhaar, UPI, ONDC, and BHASHINI—with AI-native cellular networks, creating an inclusive digital highway capable of delivering real-time artificial intelligence services to 1.4 billion citizens in their native dialects.

AI-Native Radio Access Networks (AI-RAN) and Compute-Connectivity Convergence

The dominant technical architecture showcased on the IMC 2026 exhibition floor was AI-Native RAN. Historically, cellular base stations operated on fixed digital signal processing (DSP) algorithms executed on rigid baseband ASICs. In the 2026 architecture demonstrated by Reliance Jio, Bharti Airtel, and C-DOT, base stations are re-architected around software-defined GPU accelerated servers:

  • Neural Receiver Signal Processing: Deep learning models replace traditional Minimum Mean Square Error (MMSE) channel estimators, boosting spectral efficiency by 28% in dense urban multipath environments like Mumbai and Old Delhi.
  • Dual-Use Base Station Compute: During off-peak cellular traffic hours, the GPU clusters embedded inside regional telecom edge shelters dynamically reallocate up to 60% of their compute cycles to serve local LLM inference and computer vision workloads for municipal smart-city applications.
  • Predictive Zero-Touch Network Slicing: Autonomous reinforcement learning agents monitor industrial traffic telemetry and provision guaranteed sub-5ms ultra-reliable low-latency communication (URLLC) slices for automated ports and railway signaling without human NOC intervention.

Indigenous Telecom Stack: C-DOT, Tejas Networks, and Make-in-India Hardware

A highlight of the Department of Telecommunications (DoT) pavilion was the live demonstration of India’s fully indigenous end-to-end 5G Advanced and pre-6G hardware stack. Developed collaboratively by the Centre for Development of Telematics (C-DOT), Tejas Networks (a Tata Group company), and Lekha Wireless, the stack eliminates foreign vendor lock-in across critical national infrastructure:

Network LayerIndigenous Indian DeveloperIMC 2026 Technical MilestoneStrategic Export Target
Massive MIMO Radio Units (64T64R)Tejas Networks & VVDN TechnologiesGallium Nitride (GaN) power amplifiers cutting tower energy by 34%Deployment across 100,000+ BSNL & African telecom sites
5G Advanced Core & IMSC-DOT (Centre for Development of Telematics)Cloud-native microservice core handling 10M+ simultaneous sessionsSovereign telecom cloud adoption across Global South nations
Optical Transport & Terabit RoutersTejas Networks & Sterlite TechnologiesMulti-terabit coherent optical DWDM transceivers with multicore fiberSubsea cable landing stations and hyperscale AI datacenter links
Post-Quantum Network EncryptionC-DOT Quantum Key Distribution (QKD) Division120km commercial fiber QKD link immune to quantum decryptionDefense, banking clearinghouses, and government secretariats

Non-Terrestrial Networks (NTN): Direct-to-Device Satellite Integration

Bridging the final digital divide across Himalayan border towns, island territories, and maritime corridors requires seamless integration between terrestrial cell towers and Low Earth Orbit (LEO) satellite constellations. At IMC 2026, IN-SPACe, ISRO’s commercial arm NewSpace India Limited (NSIL), Eutelsat OneWeb, and Jio SpaceFiber demonstrated 3GPP Release 19 compliant Non-Terrestrial Network handoffs.

Standard unmodified smartphones successfully transitioned active voice and AI assistant sessions from terrestrial 3.5 GHz 5G cells to S-band satellite beams overhead with zero dropped packets, proving that rural agricultural sensors and disaster-response teams can maintain continuous cloud connectivity anywhere on the Indian subcontinent.

Telecom Cybersecurity: AI-Driven Fraud Detection and ASTR Portal Impact

During the ministerial plenary on digital trust, DoT officials presented empirical results from the Sanchar Saathi and AI-powered ASTR (Artificial Intelligence and Facial Recognition powered Solution for Telecom SIM Subscriber Verification) platforms.

Using graph neural networks to analyze call detail records and KYC imagery across 1.18 billion subscriber connections, the indigenous AI system has identified and disconnected over 8.4 million fraudulent SIM cards and blocked 1.9 billion spoofed international phishing calls at the international gateway level before they ever reached citizen handsets.

Roadmap to 2030: Exporting the Bharat Digital Connectivity Blueprint

The opening days of India Mobile Congress 2026 demonstrated that India’s telecommunications sector has achieved full architectural maturity. By pairing cost-engineered domestic radio hardware with sovereign AI software platforms, India has positioned itself as the primary technology partner for emerging economies building secure, high-capacity digital infrastructure.

Technical Architecture of India’s AI-Native 6G Stack: O-RAN RIC Controllers, GaN Massive MIMO, and Bharat 6G Testbeds

Beneath the ministerial announcements at the India Mobile Congress (IMC 2026) lies a sophisticated hardware-and-software architecture engineered by Indian telecommunications consortia. To transition national networks from passive data pipes into distributed AI-RAN compute fabrics, the Department of Telecommunications (DoT), C-DOT, and domestic operators have standardized around the Open RAN (O-RAN) Alliance disaggregation model enhanced with native neural processing planes.

In a traditional 4G or early 5G deployment, the Remote Radio Unit (RRU), Distributed Unit (DU), and Centralized Unit (CU) were proprietary black boxes locked to a single European or Chinese vendor. In the indigenous Indian stack showcased at Yashobhoomi, the DU and CU execute as cloud-native containerized network functions (CNFs) on commercial off-the-shelf (COTS) servers accelerated by PCIe inline GPU/FPGA cards, governed by a Near-Real-Time RAN Intelligent Controller (Near-RT RIC) operating on a 10-millisecond control loop.

  • xApps and rApps for Autonomous Spectrum Management: Third-party Indian startups deploy microservices (`xApps`) onto the Near-RT RIC that ingest live layer-1 channel state information (CSI) and dynamically steer 64T64R Massive MIMO beams toward moving high-speed Vande Bharat trains and ambulance corridors.
  • Gallium Nitride (GaN-on-SiC) Power Amplifier Efficiency: Radio heads engineered by Tejas Networks and VVDN utilize wide-bandgap GaN semiconductors operating at higher breakdown voltages and switching efficiencies, cutting base-station thermal dissipation by 34% and enabling solar-plus-LFP-battery microgrid operation in rural gram panchayats.
  • Sub-Terahertz & Optical Wireless Backhaul: Where trenching optical fiber across mountainous terrain in Himachal Pradesh or the Northeast is cost-prohibitive, indigenous E-band (71–86 GHz) and W-band wireless point-to-point radios deliver 20 Gbps fiber-equivalent backhaul across 5-kilometer hops.

By opening the RAN interface specification and funding domestic silicon and photonics testbeds across the IIT system, India has created a self-sustaining telecom innovation flywheel capable of powering both domestic rural inclusion and high-value global equipment exports.

Implementation Roadmap: Integrating Indigenous 5G-Advanced and AI-RAN Across Indian Enterprises

Enterprise CIOs across manufacturing, ports, healthcare, and logistics looking to capitalize on the indigenous telecom breakthroughs unveiled at India Mobile Congress 2026 should prioritize three concrete deployment initiatives:

  • Transition Campus Wi-Fi to Captive Non-Public 5G-Advanced Networks (CNPN): Utilizing indigenous C-DOT core software and Tejas Networks 64T64R radio units on leased DoT spectrum, automated factories and container ports can eliminate Wi-Fi handoff drops across autonomous guided vehicle (AGV) fleets.
  • Deploy Edge Computer Vision on Telco MEC Shelters: Partner with domestic carriers to co-locate quantized vision-language safety monitors directly inside regional Multi-Access Edge Computing (MEC) nodes, slashing video backhaul bandwidth costs by 80%.
  • Adopt Post-Quantum Optical Encryption on Inter-Branch Links: Financial clearinghouses and defense suppliers should pilot C-DOT’s Quantum Key Distribution (QKD) appliances across metropolitan dark-fiber rings to future-proof sensitive data against quantum decryption threats.

With domestic telecom hardware, satellite NTN integration, and Bharat 6G standards moving in lockstep, India’s connectivity fabric is engineered for next-decade industrial scale.

Spectrum Allocation & Sub-Terahertz Channel Modeling for Indian Urban Corridors

Channel sounding trials presented at Yashobhoomi demonstrated that upper mid-band frequencies between 7.125 GHz and 15.35 GHz deliver optimal non-line-of-sight penetration across dense reinforced-concrete urban blocks in Mumbai and Delhi, whereas sub-terahertz 140 GHz links remain restricted to short-range indoor backhaul and high-capacity kiosk offloading. Bharat 6G Alliance working groups are prioritizing AI-driven beam prediction models that cut beam-sweeping control overhead by 62% on high-speed rail corridors.