• DocumentCode
    266578
  • Title

    Low complexity RF beam search algorithms for millimeter-wave systems

  • Author

    Rahman, M. Saifiir ; Josiam, Kaushik

  • Author_Institution
    Samsung Res. America - Dallas, Dallas, TX, USA
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    3815
  • Lastpage
    3820
  • Abstract
    We consider a millimeter wave communication system with multiple RF beam-forming chains each capable of forming beams in different spatial directions. The optimal codebook-based RF beam search algorithm has an exponential complexity in both the number of RF chains at the transmitter and at the receiver, which is infeasible in practice. To enable implementations that scale with increasing number of RF chains, we propose a class of RF beam search algorithms with varying complexities that iteratively search for the capacity maximizing RF beams over subsets of RF chains. The performances of the two linear variations of the proposed algorithm, jointly linear and separately linear, are evaluated in a millimeter wave cellular setting that involves reference symbol transmission from the mobile station to the base station. We show that, for a 2 × 2 system, using the proposed algorithms achieves a computation savings of about 86% with minimal performance loss.
  • Keywords
    array signal processing; cellular radio; codes; iterative methods; radio receivers; radio transmitters; search problems; base station; exponential complexity; iteratively search complexity; low complexity codebook-based RF beam search algorithm; millimeter wave cellular setting; millimeter wave communication system; mobile station; multiple RF beamforming chain; receiver; reference symbol transmission; transmitter; Antenna arrays; Baseband; Complexity theory; OFDM; Radio frequency; Receiving antennas; Vectors; MIMO; RF beam search; complexity reduction; hybrid beam-forming; millimeter wave;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037402
  • Filename
    7037402