Quantum enabled wireless communication networks

Efficient resource allocation to enhance network performance for ultra-reliable and low-latency type communication (URLLC) is a major consideration since the development of the Inter- net of Things. Recent advancements, especially in Massive Machine Type Communication (mMTC), now demand goal-oriented data delivery. Coupled with those mentioned earlier, goal-oriented communication dictates a data-driven approach to meet the current demands. In addition to classical communication, quantum communication also requires low latency and efficient resource allocation since memory decoherence and fidelity remain feasible for shorter periods. Therefore, this work proposes two Reinforcement Learning-based strategies to meet therequirementsofeachtype of network.