Research Projects

India has already been poised to Bharat 6G and Digital India mission with objectives to provide massive connectivity, higher data rate and low latency. Therefore, this project “Performance Evaluation and Optimization of Battery-assisted Low Power IoT Communication Nodes for Ultra Reliable Low Latency Communication (URLLC) Systems,” is crucial to identify the key enabling technologies that will underpin future networks. The summary of the project is what follows Rationale of the Research: 6G networks demand URLLC applications with ultra-low latency, high reliability, massive connectivity, and energy efficiency. Current wireless technologies struggle to meet these requirements, especially for low-power IoT devices. Battery-assisted IoT nodes with energy harvesting (EH) offer a self-sustained solution for challenges like resource allocation and interference in dense environments. This project aims to develop a spectrally efficient communication framework by integrating NOMA, RSMA, full-duplex relaying, and SWIPT-enabled EH systems. Scientific Objective: The project seeks to create an energy-efficient, URLLC framework for 6G applications by achieving the following 1. Framework Development: Integrate NOMA, RSMA, FD relays, and SWIPT-enabled EH systems for reliable and efficient IoT communication. 2. Resource Optimization: Develop algorithms for resource allocation and interference management to enhance QoS for low-power MTDs. 3. Performance Evaluation: Assess trade-offs among reliability, latency, energy efficiency, and spectral efficiency to optimize system performance. 4. Real-World Validation: Test the framework in URLLC use cases for 6G applications. Hypothesis and Model: The combining of technologies RSMA, NOMA, and FD relays with SWIPT in URLLC applications will outperform conventional systems in spectral efficiency, reliability, and energy savings. The model includes • Communication with IoT nodes supported by FD relays. • Efficient protocol design for intelligent battery energy management of IoT nodes. • Optimization algorithms for interference management and dynamic adaptation. • Demonstration of URLLC use cases such as wireless sensor networks and aerial communication. Significance of the Research: This research addresses critical challenges in IoT communication for URLLC applications, contributing to 6G advancements 1. Energy-Efficient IoT: Prolongs IoT device battery life through optimized EH and resource utilization. 2. Mission-Critical Applications: Enhances reliability and low-latency for vital applications like healthcare and autonomous vehicles. 3. Scalability and Adaptability: Ensures performance in dense and dynamic IoT environments. 4. 6G Standards: Provides insights for future 6G standards with a focus on sustainability and efficiency. In conclusion, this project will establish a transformative framework to address the energy, reliability, and latency challenges of 6G URLLC applications, enabling sustainable IoT ecosystems.