• DocumentCode
    2094564
  • Title

    Optimal power allocation for energy efficiency maximization in distributed antenna systems

  • Author

    Heejin Kim ; Sang-Rim Lee ; Changick Song ; Inkyu Lee

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    5769
  • Lastpage
    5773
  • Abstract
    In this paper, we present a power allocation method for a distributed antenna system (DAS) to maximize energy efficiency (EE) which is defined as the ratio of the transmission rate to the total consumed power. Different from conventional EE maximization schemes which require iterative numerical methods, we derive the optimal solution as closed form by solving Karush-Kuhn-Tucker conditions. The obtained closed form expression is applicable to DAS with an arbitrary number of distributed antenna (DA) ports and general per-DA port power constraints, and is also guaranteed to be globally optimum. Through Monte Carlo simulations, we show that the proposed power allocation method produces the optimal average EE identical to exhaustive search with significantly reduced computational complexity. In addition, we demonstrate that DAS is more beneficial in terms of EE compared to conventional antenna systems.
  • Keywords
    Monte Carlo methods; antennas; optimisation; DAS; Karush-Kuhn-Tucker condition; Monte Carlo simulation; distributed antenna system; energy efficiency maximization; exhaustive search; optimal power allocation; power constraint; transmission rate; Antenna arrays; Closed-form solutions; Optimization; Ports (Computers); Resource management; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655516
  • Filename
    6655516