• DocumentCode
    1087070
  • Title

    Signal processing in random access

  • Author

    Tong, Lang ; Naware, Vidyut ; Venkitasubramaniam, Parvathinathan

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    21
  • Issue
    5
  • fYear
    2004
  • Firstpage
    29
  • Lastpage
    39
  • Abstract
    In this paper, a cross-layer view for roles of signal processing in random access network and vice versa is presented. The two cases where cross-layer design has a quantifiable impact on system performance are discussed. The first case is a small network (such as wireless LAN) where a few nodes with bursty arrivals communicate with an access point. The design objective is to achieve the highest throughput among users with variable rate and delay constraints. The impact of PHY layer design on MAC protocol is examined and illustrates a tradeoff between allocating resources to the PHY layer and to MAC layer. The second case, in contrast, deals with large-scale sensor networks where each node carries little information but is severely constrained by its computation and communication complexity and most importantly, battery power. This paper emphasizes that the design of signal processing algorithms must take into account the role of MAC and the nature of random arrivals and bursty transmissions.
  • Keywords
    access protocols; communication complexity; signal processing; wireless LAN; MAC protocol; PHY layer design; battery power; channel state; collision resolution; communication complexity; cross-layer design; large-scale sensor networks; multipacket reception; random access network; signal processing; Access protocols; Cross layer design; Delay; Media Access Protocol; Physical layer; Resource management; Signal processing; System performance; Throughput; Wireless LAN;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2004.1328086
  • Filename
    1328086