Private Network Check Readiness - TeckNexus Solutions

COAI Opposes Direct Spectrum Allocation for Private 5G in India

The Cellular Operators Association of India (COAI), representing Reliance Jio, Bharti Airtel, and Vodafone Idea, is pushing back against direct 5G spectrum allocation for enterprises. COAI argues that India’s urban coverage, revenue priorities, and national security risks make an operator-led model via spectrum leasing or network slicing, more viable. The Department of Telecommunications is reviewing TRAI’s recommendation, with the decision set to shape India’s private 5G market for years.
India’s DoT Reopens Doors for Direct Spectrum Allocation for Private 5G Networks

The Cellular Operators Association of India (COAI), representing key telecom operators such as Reliance Jio, Bharti Airtel, and Vodafone Idea, has intensified its opposition to the direct allocation of spectrum to enterprises for private 5G networks. COAI argues that India’s telecom ecosystem, fiscal priorities, and national security concerns make such an approach unsuitable, advocating instead for enterprise 5G requirements to be met exclusively through licensed Telecom Service Providers (TSPs) via spectrum leasing or network slicing.

COAI’s Case Against Direct Spectrum Allocation


COAI’s central argument is that the Indian market differs fundamentally from countries like the US, Finland, Germany, and the UK, where direct spectrum allocation has been implemented. In these countries, private 5G is often deployed in remote industrial zones with limited public mobile coverage. In India, however, most enterprise clusters and industrial corridors are located in urban and semi-urban areas already well-served by licensed operators. According to COAI Director General S P Kochhar, the case for bypassing operators is weak because coverage gaps are minimal in these areas, and TSPs are actively rolling out 5G networks nationwide.
The association also disputes the notion that running independent private 5G networks is more cost-effective for enterprises. Beyond the upfront expense of equipment, enterprises would face significant ongoing costs for spectrum management, security compliance, network maintenance, and the skilled manpower needed to operate the network efficiently. “What appears cheaper on paper could become more expensive and operationally burdensome in practice,” Kochhar noted.

Interference, Costs, and Revenue Loss Risks in Direct Spectrum Allocation

From a technical perspective, COAI warns that radio frequencies used in private networks cannot be geographically contained, creating a risk of interference with public mobile networks operating in adjacent bands. Economically, bypassing spectrum auctions could be a blow to public finances. India’s 2022 spectrum auction generated ₹1.5 lakh crore for the national exchequer. Allowing enterprises to obtain spectrum directly from the Department of Telecommunications (DoT) would bypass this process, leading to substantial revenue loss and creating an uneven competitive landscape where private entities benefit from telecom infrastructure without the same financial and regulatory obligations as licensed operators.

Security Risks of Independent Private 5G Networks

National security is another focal point of COAI’s argument. Private networks managed by unlicensed or foreign entities could hinder lawful interception, user traceability, and emergency response coordination. Without strict oversight, such networks could expose India to cybersecurity threats, surveillance risks, and data breaches. COAI insists that the operator-led model ensures a controlled, accountable environment for spectrum use, safeguarding both security and economic stability.

DoT Weighs TRAI’s Private 5G Spectrum Proposal

The DoT is currently reviewing the potential for directly licensing spectrum for captive non-public networks (CNPNs), following a recommendation by the Telecom Regulatory Authority of India (TRAI) in early 2025. The review included a demand survey targeting large enterprises with a net worth above ₹100 crore to assess interest in direct spectrum licensing. While the Broadband India Forum (BIF) has championed international models, COAI remains firm that India’s unique conditions require a different approach. A previous DoT study found that India’s device ecosystem is still maturing and may not be fully ready to support large-scale private 5G rollouts without operator involvement.

How Private 5G Spectrum Policies Differ Worldwide

Globally, direct spectrum allocation for private 5G has taken different forms.

  • Germany carved out portions of the n78 mid-band specifically for industrial 5G use, enabling automotive manufacturers and logistics hubs to run dedicated networks.

  • The US allows enterprises to lease or directly acquire mid-band CBRS spectrum for private deployments.

  • Brazil has adopted a liberal spectrum policy, enabling both direct enterprise licensing and operator-led models, resulting in a more diverse private network ecosystem.
    COAI argues that these models are not directly applicable to India due to its high population density, integrated urban-industrial environments, and the strategic role of national telecom operators.

India vs Global Private 5G Spectrum Policy: A Comparative View

Country/Region Spectrum Bands Available Licensing Model Enterprise Access Deployment Focus Key Notes
India Primarily via public 5G spectrum (n78, n79, mmWave under operator control) Operator-led leasing or network slicing No direct licensing yet Urban industrial zones, public network coverage areas COAI opposes direct allocation due to security, revenue, and regulatory concerns
Germany n78 (3.7–3.8 GHz) Direct enterprise licensing Yes – up to 100 MHz per enterprise Automotive, logistics, manufacturing hubs Model widely cited as enabling Industry 4.0 innovation
United States CBRS (3.55–3.7 GHz), mmWave Shared spectrum + Priority Access Licenses Yes – enterprises can directly acquire or lease spectrum Ports, healthcare, manufacturing, smart cities CBRS seen as a catalyst for rapid private network adoption
United Kingdom n77/n78 mid-band, 26 GHz mmWave Shared access/local licences Yes – light licensing model Ports, factories, rural broadband Ofcom’s light-touch licensing praised for ease of enterprise adoption
Brazil n78, mmWave Mixed model: direct + operator-led Yes – enterprises and integrators eligible Mining, agriculture, energy Liberal policy has doubled number of private network deployments vs India
Finland 2.3 GHz, n78 Direct licensing Yes – small and large enterprises Heavy industry, energy sector Strong industrial uptake, especially in remote sites

Critics Warn of Innovation Risks if Spectrum Access is Limited

Vendors, integrators, and some industry analysts warn that restricting access to spectrum could stifle India’s Industry 4.0 growth, particularly in manufacturing, logistics, healthcare, agriculture, and smart cities. Liberalising mid-band spectrum, such as the n78 and n79 bands, could drive adoption and innovation, with integrators and operators competing to deliver the most efficient solutions. Critics of COAI’s stance argue that an operator-led model alone has not produced the desired level of private 5G deployments, and that India risks lagging behind other major economies in industrial digitalisation.

What’s Next for India’s Private 5G Spectrum Policy

The outcome of the DoT’s review could set the tone for India’s private 5G market for years to come. TRAI’s recommendations, combined with enterprise demand, will influence whether India maintains an operator-centric model or opens the door to more flexible licensing frameworks. Analysts project that India’s private 5G market could grow from $30.6 million in 2023 to $674.6 million by 2030, but achieving this potential will depend on regulatory clarity and spectrum access. While COAI’s stance prioritises revenue protection, regulatory parity, and national security, proponents of direct spectrum allocation argue that flexibility is key to unlocking innovation and competitiveness in India’s digital economy.


Recent Content

Hrvatski Telekom’s NextGen 5G Airports project will deploy Private 5G Networks at Zagreb, Zadar, and Pula Airports to boost safety, efficiency, and airport automation. By combining 5G Standalone, Edge Computing, AI, and IoT, the initiative enables drones, smart cameras, and AI tablets to digitize inspections, secure perimeters, and streamline operations, redefining aviation connectivity in Croatia.
Edge AI is reshaping broadband customer experience by powering smart routers, proactive troubleshooting, conversational AI, and personalized Wi-Fi management. Learn how leading ISPs like Comcast and Charter use edge computing to boost reliability, security, and customer satisfaction.
The pressure to adopt artificial intelligence is intense, yet many enterprises are rushing into deployment without adequate safeguards. This article explores the significant risks of unchecked AI deployment, highlighting examples like the UK Post Office Horizon scandal, Air Canada’s chatbot debacle, and Zillow’s real estate failure to demonstrate the potential for financial, reputational, and societal damage. It examines the pitfalls of bias in training data, the problem of “hallucinations” in generative AI, and the economic and societal costs of AI failures. Emphasizing the importance of human oversight, data quality, explainability, ethical guidelines, and robust security, the article urges organizations to proactively navigate the challenges of AI adoption. It advises against delaying implementation, as competitors are already integrating AI, and advocates for a cautious, informed approach to mitigate risks and maximize the potential for success in the AI era.
The emergence of 6G networks marks a paradigm shift in the way wireless systems are conceived and managed. Unlike its predecessors, 6G will embed Artificial Intelligence (AI) as a native capability across all network layers, enabling real-time adaptability, intelligent orchestration, and autonomous decision-making. This paper explores the symbiosis between AI and 6G, highlighting key applications such as predictive analytics, alarm correlation, and edge-native intelligence. Detailed insights into AI model selection and architecture are provided to bridge the current technical gap. Finally, the cultural and organizational changes required to realize AI-driven 6G networks are discussed. A graphical abstract is suggested to visually summarize the proposed architecture.
Telecom engineers know OSS systems aren’t broken—they just pretend to work. Outdated data, broken integrations, and overwhelming alerts create false confidence and slow operations. Discover how VC4’s Service2Create delivers real-time, trusted inventory and smarter workflows that engineers can actually rely on.
As the telecom world accelerates toward 5G-Advanced and sets its sights on 6G, artificial intelligence (AI) is no longer a peripheral technology — it is becoming the brain of the mobile network. AI-driven Radio Access Networks (RANs), and increasingly AI-native architectures, are reshaping how operators design, optimize, and monetize their networks. From zero-touch automation to intelligent spectrum management and edge AI services, the integration of AI and machine learning (ML) is unlocking both operational efficiencies and new business models.

This article explores the evolution of AI in the RAN, the architectural shifts needed to support it, the critical role of Open RAN, and the most promising AI use cases from the field. For telcos, this is not just a technical upgrade — it is a strategic inflection point.

Currently, no free downloads are available for related categories. Search similar content to download:

  • Reset

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Private Network Awards 2025 - TeckNexus
Scroll to Top

Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025