Quantum-inspired evolutionary algorithms for NOMA user pairing
Bhaskara Narottama, Denny Kusuma Hendraningrat, Soo Young Shin
Abstract
This work proposes the utilization of the quantum-inspired evolutionary algorithm (QEA) for user pairing in non-orthogonal multiple access (NOMA). By exploiting quantum concepts such as superposition, it obtained a user pairing solution that approximates the highest achievable sum rate. Moreover, elitist QEA (E-QEA) is proposed to further enhance the performance by eliminating the risk of losing the best solution of the current iteration in the next iteration. Simulation result demonstrates that E-QEA and QEA yield higher average achievable sum rates compared to random user pairing.
Topics & Concepts
PairingNomaSuperposition principleQuantumMathematicsEvolutionary algorithmAlgorithmMathematical optimizationComputer scienceQuantum mechanicsMathematical analysisTelecommunications linkPhysicsComputer networkSuperconductivityAdvanced Wireless Communication TechnologiesOptical Wireless Communication TechnologiesIndoor and Outdoor Localization Technologies