• DocumentCode
    710500
  • Title

    Scalable video multicast with joint resource allocation and Adaptive Modulation and Coding over multiple base station networks

  • Author

    Jie Li ; Zhongming Bao ; Chenxiang Zhang ; Qiyue Li

  • Author_Institution
    Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
  • fYear
    2015
  • fDate
    9-11 April 2015
  • Firstpage
    134
  • Lastpage
    139
  • Abstract
    Video multicast exploits the wireless broadcast nature to transmit a video stream to multiple clients with a minimum bandwidth requirement. Scalable video coding (AMC) and Adaptive Modulation and Coding (AMC) are two key techniques for video multicast in broadband wireless networks. They improve the system utility value by dividing the video steam into different layers and assigning appropriate modulation and coding schemes (MCS) to each layer. With the development of mobile communication, all kinds of multiple access interference technology have been studied profound which make the multi-base station cooperative transmission possible. This paper presents a joint Slot-allocation and MCS-selection scheme in multi-base station system model. We first formulate the problem as maximizing the total system utility, where the utility of each user is a generic non-negative, non-decreasing function of received rate, which can be proven to be a NP-hard optimization problem. Then an intra-session MCS assignment method based on greedy algorithm is proposed, which can be also applied to muti-session scenarios. Simulation results show that our algorithm keeps good performance compared with the optimal result, and outperforms other competing schemes of single-base station system.
  • Keywords
    adaptive modulation; mobile radio; multicast communication; optimisation; resource allocation; telecommunication scheduling; video coding; video streaming; NP-hard optimization problem; adaptive coding; adaptive modulation; broadband wireless network; joint resource allocation; joint slot allocation; multibase station system model; multiple access interference technology; multiple base station networks; scalable video coding; scalable video multicast; total system utility maximization; video steaming; video stream; wireless broadcast; Base stations; Encoding; Greedy algorithms; Modulation; Optimization; Resource management; Streaming media; adaptive modulation and coding; greedy algorithm; multiple base station; scalable video multicast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2015 IEEE 12th International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICNSC.2015.7116023
  • Filename
    7116023