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Quantum-aided multi-user transmission in non-orthogonal multiple access systems

Quantum-aided multi-user transmission in non-orthogonal multiple access systems
Quantum-aided multi-user transmission in non-orthogonal multiple access systems
With the research on implementing a universal quantum computer being under the technological spotlight, new possibilities appear for their employment in wireless communications systems for reducing their complexity and improving their performance. In this treatise, we consider the downlink of a rank-deficient, multi-user system and we propose the discrete-valued and continuous-valued Quantum-assisted Particle Swarm Optimization (QPSO) algorithms for performing Vector Perturbation (VP) precoding, as well as for lowering the required transmission power at the Base Station (BS), while minimizing the expected average Bit Error Ratio (BER) at the mobile terminals. We use the Minimum BER (MBER) criterion. We show that the novel quantum-assisted precoding methodology results in an enhanced BER performance, when compared to that of a classical methodology employing the PSO algorithm, while requiring the same computational complexity in the challenging rank-deficient scenarios, where the number of transmit antenna elements at the BS is lower than the number of users. Moreover, when there is limited Channel State Information (CSI) feedback from the users to the BS, due to the necessary quantization of the channel states, the proposed quantum-assisted precoder outperforms the classical precoder.
computational complexity, error statistics, multi-access systems, particle swarm optimisation, precoding, quantisation (signal), quantum communication, BER criterion, PSO algorithm, base station, bit error ratio, channel state information feedback, channel state quantization, mobile terminals, nonorthogonal multiple access system, quantum-aided multiuser transmission, quantum-assisted particle swarm optimization algorithm, quantum-assisted precoding methodology, rank-deficient multiuser system, transmit antenna elements, universal quantum computer, vector perturbation precoding, wireless communications system, Bit error rate, Channel estimation, Complexity theory, Computational complexity, OFDM, Particle swarm optimization, Quantum computing, Search methods, Wireless communication, Channel quantization, Dürr-Høyer algorithm, Grover’s quantum search algorithm, multiuser transmission, orthogonal frequency division multiplexing, particle swarm optimization, quantum computing, vector perturbation
7402-7424
Botsinis, P.
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Alanis, D.
8ae8ead6-3974-4886-8e17-1b4bff1d94e0
Babar, Z.
23ede793-1796-449d-b5aa-93a297e5677a
Nguyen, H. V.
6f5a71ef-ea98-49e0-9be7-7f5bb9880f52
Chandra, D.
a2f091a8-9772-4633-8e3b-d3220b10a2ec
Ng, S. X.
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Botsinis, P.
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Alanis, D.
8ae8ead6-3974-4886-8e17-1b4bff1d94e0
Babar, Z.
23ede793-1796-449d-b5aa-93a297e5677a
Nguyen, H. V.
6f5a71ef-ea98-49e0-9be7-7f5bb9880f52
Chandra, D.
a2f091a8-9772-4633-8e3b-d3220b10a2ec
Ng, S. X.
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Botsinis, P., Alanis, D., Babar, Z., Nguyen, H. V., Chandra, D., Ng, S. X. and Hanzo, L. (2016) Quantum-aided multi-user transmission in non-orthogonal multiple access systems. IEEE Access, 4, 7402-7424. (doi:10.1109/ACCESS.2016.2591904).

Record type: Article

Abstract

With the research on implementing a universal quantum computer being under the technological spotlight, new possibilities appear for their employment in wireless communications systems for reducing their complexity and improving their performance. In this treatise, we consider the downlink of a rank-deficient, multi-user system and we propose the discrete-valued and continuous-valued Quantum-assisted Particle Swarm Optimization (QPSO) algorithms for performing Vector Perturbation (VP) precoding, as well as for lowering the required transmission power at the Base Station (BS), while minimizing the expected average Bit Error Ratio (BER) at the mobile terminals. We use the Minimum BER (MBER) criterion. We show that the novel quantum-assisted precoding methodology results in an enhanced BER performance, when compared to that of a classical methodology employing the PSO algorithm, while requiring the same computational complexity in the challenging rank-deficient scenarios, where the number of transmit antenna elements at the BS is lower than the number of users. Moreover, when there is limited Channel State Information (CSI) feedback from the users to the BS, due to the necessary quantization of the channel states, the proposed quantum-assisted precoder outperforms the classical precoder.

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Accepted/In Press date: 30 June 2016
e-pub ahead of print date: 18 July 2016
Published date: 2016
Keywords: computational complexity, error statistics, multi-access systems, particle swarm optimisation, precoding, quantisation (signal), quantum communication, BER criterion, PSO algorithm, base station, bit error ratio, channel state information feedback, channel state quantization, mobile terminals, nonorthogonal multiple access system, quantum-aided multiuser transmission, quantum-assisted particle swarm optimization algorithm, quantum-assisted precoding methodology, rank-deficient multiuser system, transmit antenna elements, universal quantum computer, vector perturbation precoding, wireless communications system, Bit error rate, Channel estimation, Complexity theory, Computational complexity, OFDM, Particle swarm optimization, Quantum computing, Search methods, Wireless communication, Channel quantization, Dürr-Høyer algorithm, Grover’s quantum search algorithm, multiuser transmission, orthogonal frequency division multiplexing, particle swarm optimization, quantum computing, vector perturbation
Organisations: Electronics & Computer Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 399530
URI: https://eprints.soton.ac.uk/id/eprint/399530
PURE UUID: 4b1d97cd-6636-46ed-bc23-410efdaa6672
ORCID for D. Alanis: ORCID iD orcid.org/0000-0002-6654-1702
ORCID for Z. Babar: ORCID iD orcid.org/0000-0002-7498-4474
ORCID for H. V. Nguyen: ORCID iD orcid.org/0000-0001-6349-1044
ORCID for D. Chandra: ORCID iD orcid.org/0000-0003-2406-7229
ORCID for S. X. Ng: ORCID iD orcid.org/0000-0002-0930-7194
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 19 Aug 2016 10:29
Last modified: 15 Aug 2019 00:57

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