• DocumentCode
    50941
  • Title

    A Power Allocation Strategy for Multiple Poisson Spectrum-Sharing Networks

  • Author

    Ran Cai ; Jian-Kang Zhang ; Davidson, Timothy N. ; Wei Zhang ; Wong, Kon Max ; Ching, P.C.

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
  • Volume
    14
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    1785
  • Lastpage
    1799
  • Abstract
    This paper develops a power allocation strategy for multiple networks of Poisson-distributed single-antenna nodes that share the available spectrum in a spectrum underlay scenario. This strategy aims to maximize the overall throughput obtained by sharing the spectrum while limiting the degradation of the successful transmission probability of each network. In its original form, this joint power allocation problem is difficult to solve. However, we demonstrate that the problem can be transformed into a convex optimization formulation, which can be efficiently solved. Furthermore, we obtain a quasi-closed-form solution that has a water-filling interpretation by analyzing the optimality conditions. Numerical results indicate that, when a spectrum-sharing scheme employs the proposed optimal strategy of power allocation, the throughput substantially improves over that obtained by exclusively allocating the spectrum to the primary network. Moreover, when the number of spectrum-sharing networks increases, the enhancement is significant, being up to the limit imposed by the maximum allowable degradation in the performance of each network.
  • Keywords
    antennas; convex programming; probability; radio spectrum management; resource allocation; stochastic processes; Poisson-distributed single-antenna nodes; convex optimization formulation; joint power allocation problem; multiple Poisson spectrum-sharing networks; power allocation strategy; quasiclosed-form solution; spectrum underlay scenario; successful transmission probability; water-filling interpretation; Geometry; Interference; Receivers; Resource management; Stochastic processes; Throughput; Transmitters; Spectrum sharing; convex optimization; power allocation; spatial networks; stochastic geometry;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2014.2372772
  • Filename
    6963469