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Low-complexity soft-output quantum-assisted multi-user detection for direct-sequence spreading and slow subcarrier-hopping aided SDMA-OFDM systems

Low-complexity soft-output quantum-assisted multi-user detection for direct-sequence spreading and slow subcarrier-hopping aided SDMA-OFDM systems
Low-complexity soft-output quantum-assisted multi-user detection for direct-sequence spreading and slow subcarrier-hopping aided SDMA-OFDM systems
Low-complexity sub-optimal Multi-User Detectors (MUD) are widely used in multiple access communication systems for separating users, since the computational complexity of the Maximum Likelihood (ML) detector is potentially excessive for practical implementation. Quantum computing may be invoked in the detection procedure, by exploiting its inherent parallelism for approaching the ML MUD’s performance at a substantially reduced number of Cost Function (CF) evaluations. In this contribution, we propose a Soft-Output (SO) Quantum-assisted MUD achieving a near-ML performance and compare it to the corresponding SO Ant Colony Optimization (ACO) MUD. We investigate rank deficient Direct-Sequence Spreading (DSS) and Slow Subcarrier-Hopping aided (SSCH) Spatial Division Multiple Access (SDMA) Orthogonal Frequency Division Multiplexing (OFDM) systems, where the number of users to be detected is higher than the number of receive antenna elements used. We show that for a given complexity budget, the proposed SODHA QMUD achieves a better performance. We also propose an adaptive hybrid SO-ML / SO-DHA MUD, which adapts itself to the number of users equipped with the same spreading sequence and transmitting on the same subcarrier. Finally, we propose a DSS-based uniform SSCH scheme, which improves the system’s performance by 0:5 dB at a BER of 105, despite reducing the complexity required by the MUDs employed.
451-472
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Alanis, Dimitrios
39e04fad-7530-44f2-b7d3-1b20722a0bd2
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Alanis, Dimitrios
39e04fad-7530-44f2-b7d3-1b20722a0bd2
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Botsinis, Panagiotis, Alanis, Dimitrios, Ng, Soon Xin and Hanzo, Lajos (2014) Low-complexity soft-output quantum-assisted multi-user detection for direct-sequence spreading and slow subcarrier-hopping aided SDMA-OFDM systems. IEEE Access, 2, 451-472. (doi:10.1109/ACCESS.2014.2322013).

Record type: Article

Abstract

Low-complexity sub-optimal Multi-User Detectors (MUD) are widely used in multiple access communication systems for separating users, since the computational complexity of the Maximum Likelihood (ML) detector is potentially excessive for practical implementation. Quantum computing may be invoked in the detection procedure, by exploiting its inherent parallelism for approaching the ML MUD’s performance at a substantially reduced number of Cost Function (CF) evaluations. In this contribution, we propose a Soft-Output (SO) Quantum-assisted MUD achieving a near-ML performance and compare it to the corresponding SO Ant Colony Optimization (ACO) MUD. We investigate rank deficient Direct-Sequence Spreading (DSS) and Slow Subcarrier-Hopping aided (SSCH) Spatial Division Multiple Access (SDMA) Orthogonal Frequency Division Multiplexing (OFDM) systems, where the number of users to be detected is higher than the number of receive antenna elements used. We show that for a given complexity budget, the proposed SODHA QMUD achieves a better performance. We also propose an adaptive hybrid SO-ML / SO-DHA MUD, which adapts itself to the number of users equipped with the same spreading sequence and transmitting on the same subcarrier. Finally, we propose a DSS-based uniform SSCH scheme, which improves the system’s performance by 0:5 dB at a BER of 105, despite reducing the complexity required by the MUDs employed.

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Published date: 8 May 2014
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 364872
URI: https://eprints.soton.ac.uk/id/eprint/364872
PURE UUID: cc921189-c81b-42aa-a263-45142d2d1d2a
ORCID for Soon Xin Ng: ORCID iD orcid.org/0000-0002-0930-7194
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 15 May 2014 11:01
Last modified: 06 Jun 2018 13:15

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