• DocumentCode
    3521889
  • Title

    Reverse channel training for reciprocal MIMO systems with spatial multiplexing

  • Author

    Bharath, B.N. ; Murthy, Chandra R.

  • Author_Institution
    Electr. Commun. Eng. Dept., Indian Inst. of Sci., Bangalore
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2673
  • Lastpage
    2676
  • Abstract
    This paper investigates the problem of designing reverse channel training sequences for a TDD-MIMO spatial-multiplexing system. Assuming perfect channel state information at the receiver and spatial multiplexing at the transmitter with equal power allocation to the m dominant modes of the estimated channel, the pilot is designed to ensure an estimate of the channel which improves the forward link capacity. Using perturbation techniques, a lower bound on the forward link capacity is derived with respect to which the training sequence is optimized. Thus, the reverse channel training sequence makes use of the channel knowledge at the receiver. The performance of orthogonal training sequence with MMSE estimation at the transmitter and the proposed training sequence are compared. Simulation results show a significant improvement in performance.
  • Keywords
    MIMO communication; channel estimation; least mean squares methods; MMSE estimation; TDD-MIMO system; channel state information; forward link capacity; orthogonal training sequence; perturbation techniques; power allocation; reciprocal MIMO systems; reverse channel training sequences; spatial-multiplexing system; Channel estimation; Channel state information; Design engineering; Feedback; MIMO; Perturbation methods; Power engineering and energy; Receiving antennas; State estimation; Transmitters; Channel estimation; reciprocity; training sequence design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960173
  • Filename
    4960173