On unequal power allocation for video communications using scalable video coding in massive MIMO systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we investigate the effectiveness of radio resource allocation with H.264/AVC scalable video coding (SVC) in massive multiple-input multiple-output (MIMO) systems. During transmission of SVC-encoded videos in error prone network environments, packet losses of a certain layer may cause a severe reduction of quality or even prevent 1n2 correct decoding of other layers, since SVC layers are highly interdependent. It is generally said that the most important information should be preserved with the highest priority from packet losses. To investigate the validity of such a scheme, we apply unequal radio power allocation for SVC layers in massive MIMO systems. We first show that the error rate changes drastically with respect to transmit power in massive MIMO systems. Then, we conduct simulations to analyze the overall quality in terms of both the traditional peak signal-to-noise ratio (PSNR) and the structural similarity (SSIM) considering perceived quality. Our results show that layer prioritization in massive MIMO systems is not always beneficial in terms of quality and the content characteristics need to be considered for effective power allocation.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages147-150
Number of pages4
ISBN (Electronic)9781479943111
DOIs
Publication statusPublished - 2015 Feb 5
Event16th IEEE International Symposium on Multimedia, ISM 2014 - Taichung, Taiwan, Province of China
Duration: 2014 Dec 102014 Dec 12

Publication series

NameProceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014

Other

Other16th IEEE International Symposium on Multimedia, ISM 2014
Country/TerritoryTaiwan, Province of China
CityTaichung
Period14/12/1014/12/12

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software
  • Media Technology

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