5 papers
Maximising Energy Efficiency in Large-Scale Open RAN: Hybrid xApps and Digital Twin Integration
Ahmed Al-Tahmeesschi, Yi Chu, Gurdeep Singh +4
The growing demand for high-speed, ultra-reliable, and low-latency communications in 5G and beyond networks has significantly driven up power consumption, particularly within the R…
Sovereign AI for 6G: Towards the Future of AI-Native Networks
Swarna Bindu Chetty, David Grace, Simon Saunders +4
The advent of Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), and Large Telecom Models (LTM) significantly reshapes mobile networks, especially as the tel…
Enhancing Open RAN Digital Twin Through Power Consumption Measurement
Ahmed Al-Tahmeesschi, Yi Chu, Josh Shackleton +4
The increasing demand for high-speed, ultra-reliable and low-latency communications in 5G and beyond networks has led to a significant increase in power consumption, particularly w…
Optimizing 6G Dense Network Deployment for the Metaverse Using Deep Reinforcement Learning
Jie Zhang, Swarna Chetty, Qiao Wang +4
As the Metaverse envisions deeply immersive and pervasive connectivity in 6G networks, Integrated Access and Backhaul (IAB) emerges as a critical enabler to meet the demanding requ…
Energy Consumption Reduction for UAV Trajectory Training : A Transfer Learning Approach
Chenrui Sun, Swarna Bindu Chetty, Gianluca Fontanesi +4
The advent of 6G technology demands flexible, scalable wireless architectures to support ultra-low latency, high connectivity, and high device density. The Open Radio Access Networ…