IEEE

Intelligent Handover Management in Ultra-Dense 5G Networks: A Deep Q-Learning-Based Prediction Model

Abstract: Handover optimization is problematic in ultra-dense 5G networks because of the extremely high number of users and base stations. Unlike other methods, classical optimization approaches are ...
IEEE

Deep Reinforcement Learning-Based Resource Allocation for Integrated Sensing, Communication, and Computation in Vehicular Network

Abstract: In developing the sixth-generation (6G) system, integrated sensing and communication technology is becoming increasingly essential, especially for applications like autonomous driving. This ...