Quantum Annealing for Active User Detection in NOMA Systems

TL;DR

This paper explores using quantum annealing to improve active user detection in NOMA systems, aiming to balance performance and complexity better than classical methods.

Contribution

It introduces a novel mapping of the active user detection problem to an Ising Hamiltonian for quantum annealing application in NOMA networks.

Findings

Quantum annealing can potentially reduce detection time in NOMA.

Code cross-correlation impacts quantum annealing effectiveness.

Comparison shows promising results for QA in specific scenarios.

Abstract

Detecting active users in a non-orthogonal multiple access (NOMA) network poses a significant challenge for 5G/6G applications. Traditional algorithms tackling this task, relying on classical processors, have to make a compromise between performance and complexity. However, a quantum computing based strategy called quantum annealing (QA) can mitigate this trade-off. In this paper, we first propose a mapping between the AUD searching problem and the identification of the ground state of an Ising Hamiltonian. Then, we compare the execution times of our QA approach for several code domain multiple access (CDMA) scenarios. We evaluate the impact of the cross-correlation properties of the chosen codes in a NOMA network for detecting the active user's set.