• DocumentCode
    717748
  • Title

    Lower-Complexity Power Allocation for LTE-U Systems: A Successive Cap-Limited Waterfilling Method

  • Author

    Wenjun Xu ; Boya Li ; Yue Xu ; Jiaru Lin

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Unlicensed spectrum, around 5 GHz, will be introduced to Long Term Evolution (LTE) systems, referred to as LTE-Unlicensed (LTE-U), to combat the explosive growth of traffic volume in next 10 years. In this paper, the interference-controlled power allocation problem is studied for LTE-U systems, which can be inherently classified as orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems, where optimal power allocation algorithms are currently available by resorting to computation-intensively numerical iterations with a moderate risk of divergence. In order to satisfy the rigorous algorithm requirements, i.e., convergent outputs of power allocation and running time of milliseconds, for practical LTE-U deployments, a cap-limited waterfilling method is proposed to regulate the interference to primary users one by one successively, by which not only a near-optimal solution can be obtained, but also the intractable iteration divergence and computation complexity issues can be excluded completely. Simulation results indicate the capacity performance of the proposed low-complexity method approaches to the optimal solution with a slight loss less than 5%, and is remarkably superior to the existing suboptimal methods.
  • Keywords
    Long Term Evolution; OFDM modulation; cognitive radio; computational complexity; iterative methods; radio spectrum management; radiofrequency interference; resource allocation; telecommunication control; telecommunication power management; CR systems; LTE-U deployments; LTE-U systems; LTE-Unlicensed; Long Term Evolution; OFDM; cap-limited waterfilling method; cognitive radio; computation complexity; interference-controlled power allocation problem; iteration divergence; lower-complexity power allocation; numerical iterations; optimal power allocation algorithms; orthogonal frequency division multiplexing; primary users; traffic volume; unlicensed spectrum; Complexity theory; IEEE 802.11 Standards; Interference constraints; Long Term Evolution; OFDM; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145923
  • Filename
    7145923