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Scalable panoramic wireless video streaming relying on optimal-rate FEC-coded adaptive QAM

Scalable panoramic wireless video streaming relying on optimal-rate FEC-coded adaptive QAM
Scalable panoramic wireless video streaming relying on optimal-rate FEC-coded adaptive QAM
The demanding bitrate requirements of supporting flawless streaming of immersive video remains a challenge. To minimize the bandwidth without degrading the user’s experience, we may opt for partitioning the panoramic video frame into numerous tiles and only transmit those covered by the predicted Field of View (FoV), but naturally, this philosophy critically hinges on the accuracy of the Head Movement Prediction (HMP). However, since the HMP is never 100% accurate, rebuffering of the missing portions due to misprediction is likely to introduce video freezes or artefacts, which may significantly degrade the users’ experience. Hence, instead of only transmitting the FoV tiles, Scalable Video Coding (SVC) comes to rescue. Explicitly, in SVC schemes, multiple layers having different importance provide a promising solution, where the basic quality of the entire panoramic video is supported by the Base Layer (BL) that only requires a low bitrate, while the Enhancement Layers (EL) are invoked for enhancing the quality of the predicted FoV. In
this treatise, we propose coding rate adaptation assisted near instantaneously Adaptive Quadrature Amplitude Modulation (AQAM) for layered panoramic video streaming. In our design, we categorize the video streaming into three priority classes according to the FoV and the SVC layer index, each of which is
mapped to the most appropriate modulation mode determined by the instantaneous channel quality. Furthermore, we conceive an Evolutionary Algorithm (EA) assisted Forward Error Correction (FEC) coding rate optimization method for providing Unequal Error Protection (UEP) in order to maximize the uncoded source rate according to the inter-frame and inter-layer decoding dependency for tile-based panoramic video streaming. The simulation results show that the proposed AQAM assisted UEP scheme configured by our EA assisted coding rate optimization algorithm significantly improves the overall video performance compared to its Equal Error Protection (EEP) counterpart, and provides perceptually pleasing video quality across a wide range of channel
conditions by selecting the most appropriate modulation mode based on the instantaneous channel Signal-to-Noise Ratio (SNR).
0018-9545
Zhang, Yanqing
b1cd478d-ba8c-4063-8a12-2b67945cee03
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Huo, Yongkai
74fa5a05-f56c-4bc0-b3c9-194929f4d877
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Yanqing
b1cd478d-ba8c-4063-8a12-2b67945cee03
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Huo, Yongkai
74fa5a05-f56c-4bc0-b3c9-194929f4d877
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Yanqing, Zhang, Jiankang, Huo, Yongkai, Xu, Chao, El-Hajjar, Mohammed and Hanzo, Lajos (2020) Scalable panoramic wireless video streaming relying on optimal-rate FEC-coded adaptive QAM. IEEE Transactions on Vehicular Technology. (doi:10.1109/TVT.2020.3008384).

Record type: Article

Abstract

The demanding bitrate requirements of supporting flawless streaming of immersive video remains a challenge. To minimize the bandwidth without degrading the user’s experience, we may opt for partitioning the panoramic video frame into numerous tiles and only transmit those covered by the predicted Field of View (FoV), but naturally, this philosophy critically hinges on the accuracy of the Head Movement Prediction (HMP). However, since the HMP is never 100% accurate, rebuffering of the missing portions due to misprediction is likely to introduce video freezes or artefacts, which may significantly degrade the users’ experience. Hence, instead of only transmitting the FoV tiles, Scalable Video Coding (SVC) comes to rescue. Explicitly, in SVC schemes, multiple layers having different importance provide a promising solution, where the basic quality of the entire panoramic video is supported by the Base Layer (BL) that only requires a low bitrate, while the Enhancement Layers (EL) are invoked for enhancing the quality of the predicted FoV. In
this treatise, we propose coding rate adaptation assisted near instantaneously Adaptive Quadrature Amplitude Modulation (AQAM) for layered panoramic video streaming. In our design, we categorize the video streaming into three priority classes according to the FoV and the SVC layer index, each of which is
mapped to the most appropriate modulation mode determined by the instantaneous channel quality. Furthermore, we conceive an Evolutionary Algorithm (EA) assisted Forward Error Correction (FEC) coding rate optimization method for providing Unequal Error Protection (UEP) in order to maximize the uncoded source rate according to the inter-frame and inter-layer decoding dependency for tile-based panoramic video streaming. The simulation results show that the proposed AQAM assisted UEP scheme configured by our EA assisted coding rate optimization algorithm significantly improves the overall video performance compared to its Equal Error Protection (EEP) counterpart, and provides perceptually pleasing video quality across a wide range of channel
conditions by selecting the most appropriate modulation mode based on the instantaneous channel Signal-to-Noise Ratio (SNR).

Text
Scalable Panoramic Wireless Video streaming Relying on Optimal-Rate FEC-Coded Adaptive QAM - Accepted Manuscript
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Accepted/In Press date: 7 July 2020
e-pub ahead of print date: 9 July 2020

Identifiers

Local EPrints ID: 442851
URI: http://eprints.soton.ac.uk/id/eprint/442851
ISSN: 0018-9545
PURE UUID: c21df506-b141-4ccd-8142-db8d9189f2d3
ORCID for Yanqing Zhang: ORCID iD orcid.org/0000-0003-2349-1925
ORCID for Jiankang Zhang: ORCID iD orcid.org/0000-0001-5316-1711
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

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Date deposited: 29 Jul 2020 16:31
Last modified: 07 Oct 2020 04:16

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