• DocumentCode
    2285919
  • Title

    Maximizing energy efficiency in wireless networks with a minimum average throughput requirement

  • Author

    Li, Chang ; Song, S.H. ; Zhang, Jun ; Letaief, K.B.

  • Author_Institution
    Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2012
  • fDate
    1-4 April 2012
  • Firstpage
    1130
  • Lastpage
    1134
  • Abstract
    Given the growing concern over energy consumption and associated global warming, green communication is becoming more and more important. Lots of efforts have been put into investigating energy efficiency based design in wireless systems. Unfortunately, the maximum energy efficiency of a point-to-point link is normally achieved when the transmit power approaches zero, which, however, is not desirable in practical systems due to the low achievable data rate. In this paper, we consider the energy efficiency optimization with a practical power consumption model, where, besides a maximum transmit power constraint, we set a rate constraint (r0) to guarantee an average throughput requirement (Rth). Due to the possible outage in transmission, r0 is in general different from Rth, and determining r0 for a given Rth is not trivial. We shall derive a closed-form solution for the optimal transmit power that maximizes energy efficiency. We will also demonstrate that a carefully selected rate constraint r0 can guarantee the required average throughput Rth and provide the freedom to achieve different tradeoffs between energy efficiency and average throughput.
  • Keywords
    energy conservation; energy consumption; global warming; radio networks; closed-form solution; energy consumption; energy efficiency optimization; global warming; green communication; maximum transmit power constraint; minimum average throughput requirement; optimal transmit power; point-to-point link; power consumption model; rate constraint; wireless networks; wireless systems; Base stations; Green products; Optimization; Power demand; Throughput; Wireless communication; Wireless sensor networks; Green communications; energy efficiency; power model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2012 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-0436-8
  • Type

    conf

  • DOI
    10.1109/WCNC.2012.6213945
  • Filename
    6213945