• DocumentCode
    659729
  • Title

    An Innovative Rate Adaptation Algorithm for Multicast Transmissions in Wireless LANs

  • Author

    Paris, Stefano ; Facchi, Nicolo ; Gringoli, F. ; Capone, Antonio

  • fYear
    2013
  • fDate
    2-5 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Rate adaptation represents a key functionality of the 802.11 MAC protocol for performance enhancement. Several solutions have been proposed for improving the transmission rate of unicast communications using frame receptions/losses, BER (Bit Error Rate) and SNR (Signal to Noise Ratio) measurements. Nevertheless, rate adaptation for multicast transmissions represents a more challenging tasks due to the complexity of estimating the reception correlation of wireless links. This paper presents a novel scheme for selecting the best transmission rate for multicast communications using the packet reception correlation of the links established among the nodes of the multicast group with the access point. The proposed algorithm has been evaluated on a real-life testbed using commercial wireless cards. The results show that our solution accurately estimates the reception correlation of wireless links, thus considerably increasing the performance of multicast transmissions up to 3x and 5x in terms of throughput and delay, respectively.
  • Keywords
    access protocols; error statistics; multicast communication; wireless LAN; 802.11 MAC protocol; BER; SNR measurements; bit error rate; commercial wireless cards; innovative rate adaptation algorithm; multicast transmissions; packet reception correlation; signal to noise ratio measurements; wireless LAN; Algorithm design and analysis; Correlation; Delays; IEEE 802.11 Standards; Joints; Throughput; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th
  • Conference_Location
    Dresden
  • ISSN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2013.6691882
  • Filename
    6691882