• DocumentCode
    1415595
  • Title

    Measurement-Based Bandwidth Scavenging in Wireless Networks

  • Author

    Plummer, Anthony, Jr. ; Taghizadeh, Mahmoud ; Biswas, Subir

  • Author_Institution
    Johns Hopkins Univ. Appl. Phys. Lab., Laurel, MD, USA
  • Volume
    11
  • Issue
    1
  • fYear
    2012
  • Firstpage
    19
  • Lastpage
    32
  • Abstract
    Dynamic Spectrum Access can enable a secondary user in a cognitive network to access unused spectrum, or whitespace, found between primary user transmissions in a wireless network. The key design objective for a secondary user access strategy is to "scavenge” the maximum amount of spatio-temporally fragmented whitespace while limiting the amount of disruption caused to the primary users. In this paper, we first measure and analyze the whitespace profiles of an 802.11 network (using ns-2 simulation) and a non-802.11 (CSMA)-based network (developed on TelosB Motes). Then we propose two novel secondary user access strategies, which are based on measurement and statistical modeling of the whitespace as perceived by the secondary users. Afterward, we perform simulation experiments to validate the effectiveness of the proposed access strategies under single and multiple secondary user scenarios, and evaluate their performance numerically using the developed analytical expressions. The results show that the proposed access strategies are able to consistently scavenge between 90 and 96 percent of the available whitespace capacity, while keeping the primary users disruption less than 5 percent.
  • Keywords
    bandwidth allocation; carrier sense multiple access; cognitive radio; statistical analysis; wireless LAN; 802.11 network; CSMA-based network; cognitive network; dynamic spectrum access; measurement-based bandwidth scavenging; secondary user access strategy; spatio-temporally fragmented whitespace; statistical modeling; wireless network; Analytical models; Cognitive radio; IEEE 802.11 Standards; Markov processes; Network topology; Throughput; White spaces; Wireless sensor networks; Dynamic capacity scavenging; cognitive networks; secondary user access strategy; whitespace modeling.;
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2010.267
  • Filename
    5677556