• DocumentCode
    72218
  • Title

    Joint Spectral Efficiency and Power Allocation Optimization in IEEE 802.16m

  • Author

    Omar, Tamer R. ; Chang, J. Morris

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    14
  • Issue
    7
  • fYear
    2015
  • fDate
    July 1 2015
  • Firstpage
    1422
  • Lastpage
    1432
  • Abstract
    With today´s limited bandwidth, high data rate services, and energy efficiency requirements, maximizing the spectral efficiency and minimizing the consumed power becomes essential. Investigating the issues impeding spectral efficiency maximization and consumed power minimization for mobile systems is crucial for solving this contemporary problem. This paper aims to optimize the utilization of the scarce mobile spectrum and the amount of power consumption in the multi-cell IEEE 802.16m networks. A return on investment model adopting a utility optimization technique is proposed; the model objective is to increase the revenue of the mobile service providers by maximizing the normalized spectral efficiency and decrease the operational cost by minimizing the power consumed in the network. Based on this model, we propose two phases scheme (distributed and centralized) to solve the joint spectral and power optimization problem. The problem is solved to identify the optimal distributed resources assignment and the central down-link frequency partition configuration that achieves the model objective. Simulation results show that the optimal solution significantly improves the system power consumption while maintaining the normalized spectral efficiency, yet with high computational complexity. Accordingly, an effective suboptimal solution utilizing a polynomial-time heuristic is proposed for practical implementations.
  • Keywords
    WiMax; cellular radio; computational complexity; optimisation; power consumption; central down-link frequency partition configuration; centralized scheme; computational complexity; data rate service; distributed scheme; energy efficiency requirement; joint spectral efficiency-power allocation optimization; mobile service providers; mobile systems; multicell IEEE 802.16m networks; normalized spectral efficiency maximization; operational cost minimization; optimal distributed resource assignment; polynomial-time heuristic; power consumption minimization; return-on-investment model; scarce mobile spectrum; system power consumption; two-phase scheme; utility optimization technique; Bandwidth; Frequency control; Interference; Mobile communication; Mobile computing; Resource management; WiMAX; IEEE 802.16m; normalized spectral efficiency; radio resource management; resource metric;
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2014.2357809
  • Filename
    6899686