Niyaz Ahmad Wani

Quantum Federated Reinforcement Learning‐Based Traffic Offloading and Resource Allocation for RSMA‐Enabled Space–Air–Ground Integrated Networks

A Quantum Federated Reinforcement Learning (QFRL)‐based traffic offloading framework for RSMA‐enabled SAGINs is proposed, allowing distributed small cells to jointly optimize traffic offloading ratios, bandwidth allocation, RSMA power distribution, and UAV trajectory planning while satisfying stringent delay and reliability requirements.