• DocumentCode
    3047791
  • Title

    Quantization bounds on Grassmann manifolds of arbitrary dimensions and MIMO communications with feedback

  • Author

    Dai, Wei ; Liu, Youjian ; Rider, Brian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
  • Volume
    3
  • fYear
    2005
  • fDate
    28 Nov.-2 Dec. 2005
  • Abstract
    This paper considers the quantization problem on the Grassmann manifold with dimension n and p. The unique contribution is the derivation of a closed-form formula for the volume of a metric ball in the Grassmann manifold when the radius is sufficiently small. This volume formula holds for Grassmann manifolds with arbitrary dimension n and p, while previous results are only valid for either p = 1 or a fixed p with asymptotically large n. Based on the volume formula, the Gilbert-Varshamov and Hamming bounds for sphere packings are obtained. Assuming a uniformly distributed source and a distortion metric based on the squared chordal distance, tight lower and upper bounds are established for the distortion rate tradeoff. Simulation results match the derived results. As an application of the derived quantization bounds, the information rate of a multiple-input multiple-output (MIMO) system with finite-rate channel-state feedback is accurately quantified for arbitrary finite number of antennas, while previous results are only valid for either multiple-input single-output (MISO) systems or those with asymptotically large number of transmit antennas but fixed number of receive antennas.
  • Keywords
    MIMO systems; antenna arrays; feedback; quantisation (signal); telecommunication channels; Gilbert-Varshamov bounds; Grassmann manifolds; Hamming bounds; MIMO communications; arbitrary dimension; distortion metric; distortion rate tradeoff; finite-rate channel-state feedback; metric ball; multiple-input multiple-output system; multiple-input single-output systems; quantization bounds; receive antennas; sphere packings; squared chordal distance; transmit antennas; uniformly distributed source; Antenna feeds; Array signal processing; Information rates; MIMO; Quantization; Rate distortion theory; Receiving antennas; State feedback; Transmitting antennas; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
  • Print_ISBN
    0-7803-9414-3
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2005.1577892
  • Filename
    1577892