Quantum Annealing Approach to NOMA Signal Detection

In this work, we discuss and implement nonorthogonal multiple access (NOMA) signal detection using Quantum Annealing (QA) method with D-WAVE's development platform. QA is a procedure that finds the global minimum of a given cost function using quantum fluctuations. We used QA to perform maximum likelihood (ML) estimation of each individual signal at the NOMA receiver which is indeed computationally heavy process on classical computers. Our results revealed that optimum ML estimation can be restructured and executed on quantum computers to overcome inadequacies in traditional NOMA receivers with SIC.