An Analytical Model of Energy Consumption of User Devices in 5G/6G Networks- Group 1

This project leverages mathematical and stochastic modeling to study and optimize device energy consumption in 5G and beyond networks. The focus is on:

1. Protocol Modeling: Investigating protocols such as split bearer, carrier aggregation, and multi-connectivity, which enable efficient traffic management across low-band, mid-band, and high-band frequencies.
2. Integrated Circuit (IC) Performance Analysis: Analyzing IC performance under varying temperature and loading conditions, including the effects of heating on circuit reliability, latency, and energy efficiency.

To address these challenges, the project employs tools such as Markov chains, fluid queue models, and queuing theory to examine trade-offs between latency, throughput, and energy utilization. Additionally, it explores the thermal-induced performance degradation of hardware, focusing on how rising temperatures impact IC behavior, leading to increased energy dissipation, reduced processing speeds, and potential system failures.
The study also investigates how protocol enhancements can mitigate these effects, aiming to improve network reliability and energy efficiency amidst traffic heterogeneity and mobile user scenarios. By considering the interplay between thermal effects and communication protocols, the project offers a holistic perspective on energy efficiency in ultra-reliable, low-latency communication systems.
The findings are expected to contribute to the design of robust, scalable solutions capable of meeting the demands of modern applications, such as smart cities, industrial automation, and extended reality, while addressing the challenges posed by hardware performance degradation due to heating.