• DocumentCode
    1630672
  • Title

    Pairwise Algorithm for Distributed Transmit Beamforming

  • Author

    Jeevan, Prasanth ; Pollin, Sofie ; Bahai, Ahmad ; Varaiya, Pravin P.

  • Author_Institution
    Connectivity Lab. Dept. of Electr. Eng. & Comput. Sci., Univ. of California Berkeley Berkeley, Berkeley, CA
  • fYear
    2008
  • Firstpage
    4245
  • Lastpage
    4249
  • Abstract
    In this paper, we present a novel algorithm for distributed transmit beamforming enabling multiple single-antenna nodes to simultaneously transmit a common message such that they constructively interfere at the receiver. In order to constructively interfere, the nodes iteratively estimate and adjust their carrier phases with the help of receiver feedback. The receiver´s feedback is based on composite channel estimates calculated from two simultaneous transmissions initiated by the nodes at each iteration. We prove that starting from arbitrary carrier phases, the algorithm converges to the maximum gain almost surely. The algorithm is compared to the 1-Bit Feedback algorithm presented in [3] through simulation, and is shown to outperform it by margins of 4:1 and 3:1 on metrics reflecting power consumption and convergence rate, respectively. We simulate the impact of phase estimation errors on the algorithm´s steady-state gain and show it to be robust to moderately large errors of plusmn 20deg. We analyze the causes of asynchrony in simultaneous message transmissions and simulate its contribution to phase estimation errors in the context of IEEE 802.15.4 packets. We show that the contribution falls within the acceptable plusmn 20deg range.
  • Keywords
    antenna arrays; array signal processing; estimation theory; iterative methods; 1-bit feedback algorithm; channel estimation; distributed transmit beamforming; iterative method; multiple single-antenna nodes; pairwise algorithm; phase estimation error; power consumption; receiver feedback; steady-state gain; Analytical models; Array signal processing; Context modeling; Convergence; Energy consumption; Feedback; Iterative algorithms; Phase estimation; Robustness; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.797
  • Filename
    4533833