Energy-efficient multimedia multicast transmission scheduling using scalable video coding in LTE-advanced wireless networks

Wei Wen Wang, Shih Lin Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In recent years, people use multimedia applications which have become increasingly, such as watching IPTV or video streaming by smart phone. However, wireless user equipment (UE) is powered by battery which could only operate in a limited time. According those reasons, reducing the energy consumption of user equipment for communications is a major challenge. But in operator's opinion, they wish that users' throughput could as high as possible because they can have much more benefit. In this paper, we design a two-step algorithm which use scalable video coding technique to transmit multimedia data. First step, we allocate limited radio resource and not only maximize the total system throughput but also satisfy all of users as much as possible. Second step, we schedule the video layers which are already getting the radio resource and minimize total user equipment energy consumption. The simulation result shows that our proposed method can reduce much more energy consumption and increase throughput comparing with the existing method.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
EditorsWilliam Cheng-Chung Chu, Han-Chieh Chao, Stephen Jenn-Hwa Yang
PublisherIOS Press BV
Number of pages9
ISBN (Electronic)9781614994831
StatePublished - 2015
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 12 12 201414 12 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314


ConferenceInternational Computer Symposium, ICS 2014

Bibliographical note

Publisher Copyright:
© 2015 The authors and IOS Press. All rights reserved.


  • Energy Saving
  • LTE
  • LTE-Advanced
  • Multimedia Multicast
  • Scalable Video Coding


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