Reinforcement learning for multi-metric QoS optimization in 5G/6G networks with Shannon capacity integration
This study investigates the use of reinforcement learning (RL) techniques to optimize Quality of Service (QoS) parameters in both 5G and 6G wireless networks. A multi-phase experimental framework was employed to evaluate key QoS metrics including latency, jitter, packet loss, throughput, signal-to-noise ratio (SNR), an...