• DocumentCode
    2103165
  • Title

    Optimizing multiuser multimedia transmission through power allocation in SLNR-precoding-based MISO downlink systems

  • Author

    Kai Zhao ; Haixia Zhang ; Dongfeng Yuan

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    9-11 Nov. 2012
  • Firstpage
    507
  • Lastpage
    512
  • Abstract
    Transmission of the multimedia video streaming has been an important topic in wireless communications. As a metric of video quality at the application layer, peak signal-to-noise ratio (PSNR) is affected by the capacity at the physical layer which can be improved by power controlling and precoding. This paper investigates an optimal power allocation scheme which can maximize the sum PSNR of all users in an SLNR-precoding-based multiuser multiple input single output (MISO) system. The power allocation problem can be transformed into a convex optimization problem when the system works in the high signal to interference plus noise ratio (SINR) region. Performance of the proposed power allocation scheme is evaluated through computer simulation. Results show that, when the system works in the high SINR region, performance improvement in terms of sum PSNR through power allocation is neglectable while the effects of different precoding schemes on the sum PSNR performance are obvious.
  • Keywords
    multi-access systems; multimedia communication; precoding; radio networks; video streaming; MISO downlink systems; PSNR; SINR; SLNR-precoding; multimedia video streaming; multiple input single output system; multiuser multimedia transmission; peak signal-to-noise ratio; power allocation; signal to interference plus noise ratio; wireless communications; Power allocation; multiuser multimedia transmission; signal to leakage noise ratio (SLNR) precoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2012 IEEE 14th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-2100-6
  • Type

    conf

  • DOI
    10.1109/ICCT.2012.6511271
  • Filename
    6511271