• DocumentCode
    235200
  • Title

    RainbowRate: MIMO rate adaptation in 802.11n WiLD links

  • Author

    Zenghua Zhao ; Fucheng Zhang ; Shaoping Guo ; Xiang-Yang Li ; Junze Han

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2014
  • fDate
    5-7 Dec. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Legacy 802.11b/g protocols have been successfully applied in wireless long-distance (WiLD) networks to provide low-cost network connectivity for rural areas and developing countries, by designing TDMA MAC protocols. In contrast, we investigate the performance, and enhancement of using 802.11n for WiLD networks still using CSMA/CA. Our extensive experiments from our testbed show that, although 802.11n with CSMA/CA can provide network connectivity in WiLD environment, it suffers from poor performance. We thus propose RainbowRate, an efficient rate adaptation mechanism specified for WiLD links. RainbowRate leverages unique features found in WiLD links. We implement RainbowRate in off-the-shelf platforms and evaluate various aspects of our design using a testbed consisting of 6 mesh routers and 7 long-distance links, with the longest link length 20 km. Our experiment results show that RainbowRate out-performs state-of-the-art RA algorithms (MiRA, Ath9k and Minstrel) significantly in terms of throughput.
  • Keywords
    MIMO communication; carrier sense multiple access; radio links; telecommunication network routing; time division multiple access; wireless LAN; 802.11n WiLD links; CSMA/CA; MIMO rate adaptation mechanism; RA algorithms; RainbowRate; TDMA MAC protocols; legacy 802.11b/g protocols; long-distance links; low-cost network connectivity; mesh routers; wireless long-distance networks; Bit rate; IEEE 802.11n Standard; Interference; Multiaccess communication; Reliability; Throughput; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Computing and Communications Conference (IPCCC), 2014 IEEE International
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/PCCC.2014.7017084
  • Filename
    7017084