• DocumentCode
    2926696
  • Title

    A link adaptation scheme for improving voice quality and overall throughput over WLANs

  • Author

    Tüysüz, Mehmet Fatih ; Mantar, H.A.

  • Author_Institution
    Dept. of Comput. Eng., Gebze Inst. of Technol., Gebze, Turkey
  • fYear
    2011
  • fDate
    14-16 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    IEEE 802.11 wireless local area networks (WLANs) support link adaptation technique (LA) which allows mobile nodes to select a proper transmission rate. Link adaptation algorithms use packet loss rate as an indication of poor channel conditions. However, most of existing link adaptation techniques cannot classify the loss as collision, congestion or channel error loss and they could mistakenly adjust the rate as if the loss was due to error prone channel. In this paper, we present a detailed classification of packet losses and propose our link adaptation scheme for delay-sensitive VoIP applications. Proposed algorithm only uses its local information and can be easily implemented without any changes on the current IEEE 802.11 standard. Simulation results show better perceived voice quality and higher overall throughput than other existing algorithms.
  • Keywords
    Internet telephony; mobile radio; radio links; voice communication; wireless LAN; wireless channels; IEEE 802.11 standard; WLAN; channel error loss; collision loss; congestion loss; delay-sensitive VoIP application; error prone channel; link adaptation technique; mobile nodes; overall network throughput; packet loss classification; transmission rate; voice quality; wireless local area networks; Multimedia communication; Link adaptation (LA); Packet loss classification; QoS; Voice over ip (VoIP); WLANs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Multimedia (ICIM), 2011 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0988-3
  • Type

    conf

  • DOI
    10.1109/ICIMU.2011.6122772
  • Filename
    6122772