• DocumentCode
    2556852
  • Title

    Optimal power allocation based on power cost in regenerative relaying system

  • Author

    Qu, Xiqiang ; Li, Hongjia ; Xu, Xiaodong ; Tian, Hui

  • Author_Institution
    Wireless Technol. Innovation Inst., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    90
  • Lastpage
    93
  • Abstract
    In order to reduce power cost in regenerative relaying system, the concept of power price is proposed, which determined by the different fashions of power supply at the nodes. An algorithm is proposed to minimize the outage probability based on power price, which subjects to the constraint of power cost. Lagrange multiplier maximization method is used to solve this problem. Numerical results show that optimizing the allocation of power based on power price is required for systems with inconsistent power prices. In other words, regenerative relaying systems with optimal power allocation based on power price can outperform optimal power allocation that does not take the gap of power prices into account. The contrast is more obvious with the gap of power prices enlarges.
  • Keywords
    optimisation; probability; radiocommunication; Lagrange multiplier maximization method; optimal power allocation; outage probability; power cost; power price; power supply; regenerative relaying system; Capacity planning; Cost function; Educational technology; Laboratories; Power engineering education; Power system relaying; Systems engineering education; Technological innovation; Throughput; Wireless communication; outage probability; power allocation; power cost; power price; regenerative relay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5478203
  • Filename
    5478203