The Telecom Regulatory Authority of India (TRAI) has put forth a proposal to employ artificial intelligence (AI) for monitoring the quality of wireless and wireline services. This recommendation was made in a recent consultation paper titled ‘Review of Quality-of-Service Standards for Access Services (Wireless and Wireline) and Broadband (Wireless and Wireline) Services’.
TRAI Real-time Quality Monitoring with AI
TRAI emphasized that utilizing AI could facilitate near real-time quality-of-service (QoS) performance monitoring by processing and correlating performance data. The regulator believes that AI could effectively manage end-to-end QoS within a network, thereby enhancing service quality.
TRAI Addressing Segmentation Challenges in QoS Management
TRAI also pointed out that the segmented approach to QoS management currently poses a significant hurdle to providing consistent user experiences. This fragmentation often results in a notable difference between the QoS reported by service providers and the actual QoS perceived by consumers.
User Experience Tied to Network Segments
The regulator highlighted that user experience is influenced by the combined QoS performance of various network segments—access, backhaul, core, and transport networks. Any degradation in the QoS of one segment affects the quality of experience (QoE) of the entire service.
Monthly State-Level Reporting and Focus on 4G and 5G Services
TRAI ensures service quality for telecom consumers. It is pushing for monthly QoS performance reporting at state and union territory levels. The regulatory body suggests strict QoS benchmarks, especially for call drops, for 4G and 5G services. This is due to their wider coverage compared to 2G and 3G networks.
This proposal comes against the backdrop of rising concerns over network issues, especially with the deployment of 5G services. As India’s broadband user base, comprising wireless and wireline users, continues to grow, TRAI’s move aims to enhance the user experience and address long-standing quality-related complaints.
TRAI’s approach aligns with the ongoing trend of leveraging AI across various industries. This technological advancement has found applications in diverse fields such as healthcare and content creation.
The Reserve Bank of India (RBI) has explored integrating AI into the Unified Payments Interface (UPI). This integration aims to enable conversational payments. In this vein, the RBI has followed a similar approach.
