• DocumentCode
    1025628
  • Title

    Antenna Packing in Low-Power Systems: Communication Limits and Array Design

  • Author

    Muharemovic, Tarik ; Sabharwal, Ashutosh ; Aazhang, Behnaam

  • Author_Institution
    Rice Univ., Houston
  • Volume
    54
  • Issue
    1
  • fYear
    2008
  • Firstpage
    429
  • Lastpage
    440
  • Abstract
    In this correspondence, we study design of transceiver antenna arrays and its impact on spectral efficiency of low-power systems. Our primary motivation is construction of practical and portable multi-antenna configurations with a very small and a-priori fixed volume for placing antennas. Using spectral efficiency as a target metric for array optimization, we show that any array configuration, transmit or receive, can be characterized via a parameter that we interpret as ldquoeffective degrees of freedom.rdquo For any array configuration, effective degrees of freedom describes an equivalent uncorrelated array, which results in the same low-power behavior of spectral efficiency. Joint optimization of transmit and receive antenna configurations decouples into maximizing effective degrees of freedom for transmitter and receiver separately. To achieve this goal, we introduce and study a theoretical benchmark of ldquolimiting degrees of freedom, rdquo which is the least upper bound on effective degrees of freedom, evaluated over all configurations with finite number of antennas. Limiting degrees of freedom therefore describes the best possible performance for any transceiver array which confines its elements inside a given space. We compute a closed-form expression for limiting degrees of freedom of a circular geometry. Finally, we present numerical procedure and examples for designing linear and square arrays with nonuniform spacing, which typically exhibit significant spectral efficiency gains over uniform arrays.
  • Keywords
    MIMO communication; antenna arrays; low-power electronics; transceivers; antenna packing; array optimization; closed-form expression; communication limits; equivalent uncorrelated array; joint optimization; low-power systems; portable multiantenna configurations; receive antenna configurations; transceiver antenna array design; Antenna arrays; Channel capacity; Computer science; Decoding; Hamming weight; Linearity; Antenna arrays; multi-antenna communications; multiple-input–multiple-output (MIMO);
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2007.911175
  • Filename
    4418491