The primary objective of this project, ‘Performance Evaluation and Optimization of Battery-assisted Low Power IoT Communication Nodes for Ultra Reliable Low Latency Communication (URLLC) Systems’, is to analyse system performance and design optimal resource-allocation techniques tailored for ultra-reliable low-latency communication (URLLC) applications operating on low-power machine-type devices (MTDs).

These devices increasingly support a wide range of mission-critical and real-time services, yet face stringent constraints on energy, bandwidth and reliability. By developing advanced allocation strategies, the project aims to significantly enhance quality of service and ensure consistent performance under varying network conditions.

The work will focus on several key application domains where URLLC is essential, including aerial communication systems such as drones and unmanned platforms, intra-vehicular communication for next-generation automotive networks, device-to-device communication crucial for decentralised operations, body-area networks supporting healthcare and wearables, and wireless sensor networks deployed in industrial and environmental monitoring.

The project seeks to establish a robust framework that improves both efficiency and reliability across these emerging communication environments.

Scope: Wireless Communication for 5G and Beyond, IoT-assisted Communication, Ultra-reliable low-latency communication (URLLC), massive Machine Type Communication (mMTC)

Funding Agency: ANRF: Prime Minister Early Career Research

Grant: Prime Minister Early Career Research

Amount: INR 51,35,300

Duration: 3 Years

Principal investigator: Dr. Kamal Agarwal