• DocumentCode
    2669414
  • Title

    Cooperative Strategies and Optimal Scheduling for Tree Networks

  • Author

    De Baynast, Alexandre ; Gurewitz, Omer ; Knightly, Edward W.

  • Author_Institution
    RWTH Aachen, Aachen
  • fYear
    2007
  • fDate
    6-12 May 2007
  • Firstpage
    1857
  • Lastpage
    1865
  • Abstract
    In this paper, we develop and analyze a low-complexity cooperative protocol that significantly increases the average throughput of multi-hop upstream transmissions for wireless tree networks. We consider a system in which transmissions are assigned to nodes in a collision free, spatial time division fashion. This protocol exploits the broadcast nature of wireless networks where the communication channel is shared between multiple adjacent nodes within interference range. For any upstream end-to-end flow in the tree, each intermediate node receives information from both one-hop and two-hop neighbors and transmits only sufficient information such that the next upstream one-hop neighbor will be able to decode the packet. This approach can be viewed as the generalization of the classical three node relay channel for end-to-end flows in which each intermediate node becomes successively source, relay and destination. We derive the achievable rate and propose an optimal schedule that realizes this rate for any regular tree network. We show that our protocol dramatically outperforms the conventional scheme where intermediate nodes simply forward the packets hop by hop. At high signal-to-noise ratio, it yields approximatively 80% throughput gain.
  • Keywords
    protocols; radio networks; scheduling; telecommunication channels; trees (mathematics); communication channel; cooperative protocol; optimal scheduling; wireless tree network; Broadcasting; Communication channels; Decoding; Interference; Optimal scheduling; Relays; Spread spectrum communication; Throughput; Wireless application protocol; Wireless 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.2007.216
  • Filename
    4215798