The University of Southampton
University of Southampton Institutional Repository

Near-instantaneously adaptive multi-set space-time shift keying for UAV-aided video surveillance

Near-instantaneously adaptive multi-set space-time shift keying for UAV-aided video surveillance
Near-instantaneously adaptive multi-set space-time shift keying for UAV-aided video surveillance
Unmanned Aerial Vehicles (UAV) are more suitable for surveillance systems than their traditional stationary counterparts. To meet the associated demanding video compression requirements, the H.265/High Efficiency Video Coding (HEVC) codec is invoked. Its scalable video coding extension is capable of supporting diverse video resolutions by encoding the video clips captured into multiple layers, namely the Base Layer (BL) and several Enhancement Layers (EL). In this treatise, we propose a multi-functional Multiple-Input Multiple-Output (MIMO) transceiver relying on Multi-Set Space-Time Shift Keying (MS-STSK) for UAVaided near-instantaneously adaptive layered video streaming, which is capable of promptly varying the throughput as a function of both the estimated channel quality as well as of the UAV mobility, while maintaining near-flawless video quality. Additionally, we invoke EXtrinsic Information Transfer (EXIT) charts for characterizing our Unequal Error Protection (UEP) based video transceiver with the aid of near-capacity channel coding. Some of the perceptually less important ELs may have to be dropped during instances of low channel quality to retain the robustness of the transmitted video stream when a low-throughput MIMO configuration is activated. The simulation results show that our proposed UEP assisted adaptive system is capable of attaining the best Y-Peak SNR (PSNR) performance in comparison to both its non-adaptive and Equal Error Protection (EEP) counterparts.
MIMO, Multilayer video transmission, UAV surveillance, adaptive protection, index modulation, iterative decoding, unequal error protection
0018-9545
12843-12856
Zhang, Yanqing
b1cd478d-ba8c-4063-8a12-2b67945cee03
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Hemadeh, Ibrahim
70f83452-6bbe-41ae-9402-186c282a4688
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Yanqing
b1cd478d-ba8c-4063-8a12-2b67945cee03
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Hemadeh, Ibrahim
70f83452-6bbe-41ae-9402-186c282a4688
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Yanqing, Xu, Chao, Hemadeh, Ibrahim, El-Hajjar, Mohammed and Hanzo, Lajos (2020) Near-instantaneously adaptive multi-set space-time shift keying for UAV-aided video surveillance. IEEE Transactions on Vehicular Technology, 69 (11), 12843-12856, [9151370]. (doi:10.1109/TVT.2020.3012208).

Record type: Article

Abstract

Unmanned Aerial Vehicles (UAV) are more suitable for surveillance systems than their traditional stationary counterparts. To meet the associated demanding video compression requirements, the H.265/High Efficiency Video Coding (HEVC) codec is invoked. Its scalable video coding extension is capable of supporting diverse video resolutions by encoding the video clips captured into multiple layers, namely the Base Layer (BL) and several Enhancement Layers (EL). In this treatise, we propose a multi-functional Multiple-Input Multiple-Output (MIMO) transceiver relying on Multi-Set Space-Time Shift Keying (MS-STSK) for UAVaided near-instantaneously adaptive layered video streaming, which is capable of promptly varying the throughput as a function of both the estimated channel quality as well as of the UAV mobility, while maintaining near-flawless video quality. Additionally, we invoke EXtrinsic Information Transfer (EXIT) charts for characterizing our Unequal Error Protection (UEP) based video transceiver with the aid of near-capacity channel coding. Some of the perceptually less important ELs may have to be dropped during instances of low channel quality to retain the robustness of the transmitted video stream when a low-throughput MIMO configuration is activated. The simulation results show that our proposed UEP assisted adaptive system is capable of attaining the best Y-Peak SNR (PSNR) performance in comparison to both its non-adaptive and Equal Error Protection (EEP) counterparts.

Text
Near-Instantaneously Adaptive Multi-Set Space-Time Shift Keying for UAV-Aided Video Surveillance - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 24 July 2020
e-pub ahead of print date: 28 July 2020
Published date: November 2020
Keywords: MIMO, Multilayer video transmission, UAV surveillance, adaptive protection, index modulation, iterative decoding, unequal error protection

Identifiers

Local EPrints ID: 443105
URI: http://eprints.soton.ac.uk/id/eprint/443105
ISSN: 0018-9545
PURE UUID: e8b6a4ab-d8e0-4fd4-92bd-1f9eb7a57fc8
ORCID for Yanqing Zhang: ORCID iD orcid.org/0000-0003-2349-1925
ORCID for Chao Xu: ORCID iD orcid.org/0000-0002-8423-0342
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 11 Aug 2020 16:30
Last modified: 23 Mar 2021 02:43

Export record

Altmetrics

Contributors

Author: Yanqing Zhang ORCID iD
Author: Chao Xu ORCID iD
Author: Ibrahim Hemadeh
Author: Mohammed El-Hajjar ORCID iD
Author: Lajos Hanzo ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×