• DocumentCode
    2667391
  • Title

    Connectivity and Capacity of Multi-Channel Wireless Networks with Channel Switching Constraints

  • Author

    Bhandari, Vartika ; Vaidya, Nitin H.

  • Author_Institution
    Univ. of Illinois, Champaign
  • fYear
    2007
  • fDate
    6-12 May 2007
  • Firstpage
    785
  • Lastpage
    793
  • Abstract
    This paper argues for the need to address the issue of multi-channel network performance under constraints on channel switching. We present examples from emergent directions in wireless networking to motivate the need for such a study, and introduce some models to capture channel switching constraints. For some of these models, we study connectivity and capacity of a wireless network comprising n randomly deployed nodes, equipped with a single interface each, when there are c=O(logn) channels of equal bandwidth W/c available. We consider an adjacent (c,f) channel assignment where a node may switch between f adjacent channels, but the adjacent channel block is randomly assigned. We show that the per-flow capacity for this channel assignment model is Theta(Wradic(f/cnlogn)). We then show the adjacent (c,2) assignment maps to the case of untuned radios. We also consider a random (c,f) assignment where each node may switch between a pre-assigned random subset of f channels. For this model, we prove that per-flow capacity is O(Wradic(prnd/nlogn)) (where prnd=1-(1-f/c)(1-f/(c-1))...(1-f/(c-f+1)) and Omega(Wradic(f/cnlogn))).
  • Keywords
    channel allocation; channel capacity; radio networks; telecommunication switching; wireless channels; adjacent channel block; channel assignment model; channel capacity; channel switching constraint; multichannel wireless network performance; Cognitive radio; Constraint theory; Frequency; Manufacturing; Peer to peer computing; Spread spectrum communication; Switches; Transceivers; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE
  • Conference_Location
    Anchorage, AK
  • ISSN
    0743-166X
  • Print_ISBN
    1-4244-1047-9
  • Type

    conf

  • DOI
    10.1109/INFCOM.2007.97
  • Filename
    4215679