crossrefApplied Sciences2026-07-01
Optimizing Energy-Efficient Resource Allocation in 5G Autonomous Vehicle Networks Through Deep Reinforcement Learning
Khalil M. Abdelnaby, Mohammed A. F. Al-Husainy, Mohammad O. Alhawarat, Mohamed A. Rohaim, Khairy M. Assar, Khaled A. Elshafey
AVs are also bound to capitalize on 5G networks, which creates crucial challenges in the adaptable management of resources because they need very low latency, a high-speed connection, and energy-efficient functionality. Older approaches to optimizing resource allocation in the hi…