• DocumentCode
    799212
  • Title

    Optimal Throughput–Delay Scaling in Wireless Networks—Part II: Constant-Size Packets

  • Author

    El Gamal, Abbas ; Mammen, James ; Prabhakar, Balaji ; Shah, Devavrat

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
  • Volume
    52
  • Issue
    11
  • fYear
    2006
  • Firstpage
    5111
  • Lastpage
    5116
  • Abstract
    In Part I of this paper, the optimal throughput-delay tradeoff for static wireless networks was shown to be D(n)=Theta(nT(n)), where D(n) and T(n) are the average packet delay and throughput in a network of n nodes, respectively. While this tradeoff captures the essential network dynamics, packets need to scale down with the network size. In this "fluid model, " no buffers are required. Due to this packet scaling, D(n) does not correspond to the average delay per bit. This leads to the question whether the tradeoff remains the same when the packet size is kept constant, which necessitates packet scheduling in the network. In this correspondence, this question is answered in the affirmative by showing that the optimal throughput-delay tradeoff is still D(n)=Theta(nT(n)), where now D(n) is the average delay per bit. Packets of constant size necessitate the use of buffers in the network, which in turn requires scheduling packet transmissions in a discrete-time queuing network and analyzing the corresponding delay. Our method consists of deriving packet schedules in the discrete-time network by devising a corresponding continuous-time network and then analyzing the delay induced in the actual discrete network using results from queuing theory for continuous-time networks.
  • Keywords
    delays; discrete time systems; packet radio networks; queueing theory; scheduling; delay scaling; discrete-time queuing network; fluid model; packet scheduling; static wireless network; Australia; Delay; Electrostatic discharge; Information theory; Intelligent networks; Queueing analysis; Routing; Scheduling algorithm; Throughput; Wireless networks; Product form equilibrium; queuing theory; scaling laws; scheduling; throughput scaling; throughput–delay tradeoff; wireless networks;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.883548
  • Filename
    1715548