A lattice-reduction aided vector perturbation precoder relying on quantum annealing

Winter, Samuel, Zhang, Yangyishi, Zheng, Gan and Hanzo, Lajos (2024) A lattice-reduction aided vector perturbation precoder relying on quantum annealing. IEEE Wireless Communications Letters, 13 (5), 1225-1229. (doi:10.1109/LWC.2024.3365874).

Record type: Article

Abstract

Quantum annealing (QA) is proposed for vector perturbation precoding (VPP) in multiple input multiple output (MIMO) communications systems. The mathematical framework of VPP is presented, outlining the problem formulation and the benefits of lattice reduction algorithms. Lattice reduction aided quantum vector perturbation (LRAQVP) is designed by harnessing physical quantum hardware, and the optimization of hardware parameters is discussed. We observe a 5dB gain over lattice reduction zero forcing precoding (LRZFP), which behaves similarly to a quantum annealing algorithm operating without a lattice reduction stage. The proposed algorithm is also shown to approach the performance of a sphere encoder, which exhibits an exponentially escalating complexity.

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Accepted/In Press date: 11 February 2024

e-pub ahead of print date: 14 February 2024

Published date: 14 February 2024

Additional Information: S. Winter and Y. Zhang have been supported by Innovate UK project no. 10031626. L. Hanzo would like to acknowledge the financial support of the EPSRC projects EP/W016605/1, EP/X01228X/1 and EP/Y026721/1 as well as of the European Research Council’s Advanced Fellow Grant QuantCom (Grant No. 789028). G. Zheng has been supported by EP/X04047X/1. Publisher Copyright: © 2012 IEEE.

Keywords: downlink precoding, MIMO, Quantum annealing, vector perturbation

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