• DocumentCode
    717795
  • Title

    Optimal SINR-Based Scheduling in mmWave WPANs with Power Control and Rate Adaption

  • Author

    Ran Cai ; Danpu Liu ; Qian Chen ; Xiaoming Peng

  • Author_Institution
    Sch. of Inf. & Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Spatial sharing is one of the most important merits in 60 GHz millimeter wave (mmWave) wireless personal area networks (WPANs). In this paper, we address the optimal scheduling problem under physical interference model with power control and rate adaption to exploit spatial sharing in mmWave WPANs. The optimization problem is formulated as the minimum length scheduling problem with the constraint of the minimum traffic demand. To obtain the optimal solution with low computational complexity, column generation (CG) algorithm is employed to derive the optimal schedule. Simulation results demonstrate that the scheduled length for all transmission links can be significantly reduced by using rate adaption and power control schemes, and be further reduced by configuring directional antennas at both transmitter and receiver sides.
  • Keywords
    computational complexity; directive antennas; linear programming; millimetre wave antennas; personal area networks; power control; radio receivers; radio transmitters; scheduling; telecommunication traffic; column generation algorithm; directional antenna configuration; low computational complexity; millimeter wave WPAN; millimeter wave wireless personal area networks; minimum length scheduling problem; minimum traffic demand constraint; optimal SINR-based scheduling problem; optimization problem; physical interference model; power control; rate adaption; receiver side; spatial sharing; transmitter side; Directional antennas; Interference; Optimal scheduling; Power control; Schedules; Signal to noise ratio; Wireless personal area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145985
  • Filename
    7145985