Quantum Reinforcement Learning Driven Adaptive Resource Allocation for Internet of Things Devices
The high rate of Internet of Things (IoT) networks development has posed a serious problem of effective resource allocation because devices are heterogeneous, the traffic conditions are dynamic, and the energy and latency requirements are severe. Traditional resource allocation methods and classical reinforcement learn...