A lattice-reduction aided vector perturbation precoder relying on quantum annealing
A lattice-reduction aided vector perturbation precoder relying on quantum annealing
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.
Winter, Samuel
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Zhang, Yangyishi
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Zheng, Gan
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Hanzo, Lajos
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Winter, Samuel
6b8f72ce-0a77-4fc9-be0c-44a622c032e9
Zhang, Yangyishi
4c134c53-4f95-487c-b6d1-7677dc306687
Zheng, Gan
c8a84e25-660c-4adc-87c2-36cdf9d1a0cb
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
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.
(In Press)
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.
Text
FINAL_VERSION
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More information
Accepted/In Press date: 11 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.
Identifiers
Local EPrints ID: 487115
URI: http://eprints.soton.ac.uk/id/eprint/487115
ISSN: 2162-2337
PURE UUID: 0a9ce5b9-d4a4-4744-8836-f9c9b29dfadd
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Date deposited: 14 Feb 2024 17:36
Last modified: 18 Mar 2024 05:03
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Contributors
Author:
Samuel Winter
Author:
Yangyishi Zhang
Author:
Gan Zheng
Author:
Lajos Hanzo
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