Graph-Centric Deep Q-Learning for Interference-Aware Resource Allocation in Rsma-Enabled 5G Slicing
The emergence of 5G and 6G advanced ecosystems demands highly adaptive resource management to orchestrate the specialised requirements of eMBB, URLLC, and mMTC network slices. In dense multi-cell environments, capturing complex spatial interdependencies and mitigating dynamic interference is paramount for maintaining Q...