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Quantum search-aided multi-user detection of IDMA-assisted multi-layered video streaming

Quantum search-aided multi-user detection of IDMA-assisted multi-layered video streaming
Quantum search-aided multi-user detection of IDMA-assisted multi-layered video streaming
Moore’s law is expected to lead to the gates of the quantum world in 2017. Therefore, the emerging quantum computing research is expected to give rise to novel quantum search algorithms, which may replace the currently used classical ones in wireless communications, leading to performance improvements and complexity reduction. In this paper, we demonstrate the benefits of quantum-assisted multi-user detection (QMUD) in the uplink of a multi-user system, where the reference user conveys a multi- layered video stream to the base station, while using adaptive modulation and different rates per video layer. This is the first study, where a QMUD is employed in a video application. The QMUD does not treat the rest of the users as interference, but rather detects the signals transmitted by all the users. We have evaluated the system’s performance both in terms of its bit error ratio and peak signal-to-noise ratio versus the channel’s signal-to-noise ratio, while quantifying the complexity reduction achieved by using the QMUD instead of the optimal classical maximum a posteriori probability MUD. The effect of the number of users on the system’s performance is also quantified.
2169-3536
23233-23255
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Huo, Yongkai
12ef7050-42c0-4660-9776-66ce675fb1ab
Alanis, Dimitrios
8ae8ead6-3974-4886-8e17-1b4bff1d94e0
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Huo, Yongkai
12ef7050-42c0-4660-9776-66ce675fb1ab
Alanis, Dimitrios
8ae8ead6-3974-4886-8e17-1b4bff1d94e0
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Botsinis, Panagiotis, Huo, Yongkai, Alanis, Dimitrios, Babar, Zunaira, Ng, Soon and Hanzo, Lajos (2017) Quantum search-aided multi-user detection of IDMA-assisted multi-layered video streaming. IEEE Access, 5 (1), 23233-23255. (doi:10.1109/ACCESS.2017.2732358).

Record type: Article

Abstract

Moore’s law is expected to lead to the gates of the quantum world in 2017. Therefore, the emerging quantum computing research is expected to give rise to novel quantum search algorithms, which may replace the currently used classical ones in wireless communications, leading to performance improvements and complexity reduction. In this paper, we demonstrate the benefits of quantum-assisted multi-user detection (QMUD) in the uplink of a multi-user system, where the reference user conveys a multi- layered video stream to the base station, while using adaptive modulation and different rates per video layer. This is the first study, where a QMUD is employed in a video application. The QMUD does not treat the rest of the users as interference, but rather detects the signals transmitted by all the users. We have evaluated the system’s performance both in terms of its bit error ratio and peak signal-to-noise ratio versus the channel’s signal-to-noise ratio, while quantifying the complexity reduction achieved by using the QMUD instead of the optimal classical maximum a posteriori probability MUD. The effect of the number of users on the system’s performance is also quantified.

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Accepted/In Press date: 22 July 2017
e-pub ahead of print date: 26 July 2017

Identifiers

Local EPrints ID: 415258
URI: https://eprints.soton.ac.uk/id/eprint/415258
ISSN: 2169-3536
PURE UUID: 9b8c7f38-f901-4642-ae21-9e25a62fec49
ORCID for Dimitrios Alanis: ORCID iD orcid.org/0000-0002-6654-1702
ORCID for Zunaira Babar: ORCID iD orcid.org/0000-0002-7498-4474
ORCID for Soon 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: 06 Nov 2017 17:30
Last modified: 15 Jul 2019 17:48

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