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Joint quantum-assisted channel estimation and data detection

Joint quantum-assisted channel estimation and data detection
Joint quantum-assisted channel estimation and data detection
Joint Channel Estimation (CE) and Multi-User Detection (MUD) has become a crucial part of iterative receivers. In this paper we propose a Quantum-assisted Repeated Weighted Boosting Search (QRWBS) algorithm for CE and we employ it in the uplink of MIMO-OFDM systems, in conjunction with the Maximum A posteriori Probability (MAP) MUD and a near-optimal Quantum-assisted MUD (QMUD). The performance of the QRWBS-aided CE is evaluated in rank-deficient systems, where the number of receive Antenna Elements (AE) at the Base Station (BS) is lower than the number of supported users. The effect of the Channel Impulse Response (CIR) prediction filters, of the Power Delay Profile (PDP) of the channels and of the Doppler frequency have on the attainable system performance is also quantified. The proposed QRWBS-aided CE is shown to outperform the RWBS-aided CE, despite requiring a lower complexity, in systems where iterations are invoked between the MUD, the CE and the channel decoders at the receiver. In a system, where U=7 users are supported with the aid of P=4 receive AEs, the joint QRWBS-aided CE and QMUD achieves a 2 dB gain, when compared to the joint RWBS-aided CE and MAP MUD, despite imposing 43% lower complexity.
1-23
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Alanis, Dimitrios
39e04fad-7530-44f2-b7d3-1b20722a0bd2
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
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
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Botsinis, Panagiotis, Alanis, Dimitrios, Babar, Zunaira, Ng, Soon Xin and Hanzo, Lajos (2016) Joint quantum-assisted channel estimation and data detection. IEEE Access, 1-23. (doi:10.1109/ACCESS.2016.2591903).

Record type: Article

Abstract

Joint Channel Estimation (CE) and Multi-User Detection (MUD) has become a crucial part of iterative receivers. In this paper we propose a Quantum-assisted Repeated Weighted Boosting Search (QRWBS) algorithm for CE and we employ it in the uplink of MIMO-OFDM systems, in conjunction with the Maximum A posteriori Probability (MAP) MUD and a near-optimal Quantum-assisted MUD (QMUD). The performance of the QRWBS-aided CE is evaluated in rank-deficient systems, where the number of receive Antenna Elements (AE) at the Base Station (BS) is lower than the number of supported users. The effect of the Channel Impulse Response (CIR) prediction filters, of the Power Delay Profile (PDP) of the channels and of the Doppler frequency have on the attainable system performance is also quantified. The proposed QRWBS-aided CE is shown to outperform the RWBS-aided CE, despite requiring a lower complexity, in systems where iterations are invoked between the MUD, the CE and the channel decoders at the receiver. In a system, where U=7 users are supported with the aid of P=4 receive AEs, the joint QRWBS-aided CE and QMUD achieves a 2 dB gain, when compared to the joint RWBS-aided CE and MAP MUD, despite imposing 43% lower complexity.

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More information

Accepted/In Press date: 30 June 2016
e-pub ahead of print date: 18 July 2016
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 399538
URI: https://eprints.soton.ac.uk/id/eprint/399538
PURE UUID: 51067e68-4300-45fb-9cf7-21537e544684
ORCID for Zunaira Babar: ORCID iD orcid.org/0000-0002-7498-4474
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: 19 Aug 2016 10:51
Last modified: 15 Aug 2019 00:57

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