• DocumentCode
    112458
  • Title

    Energy-efficient resource allocation in heterogeneous networks with cell range expansion

  • Author

    Jiamo Jiang ; Mugen Peng ; Lei Li ; Wenbo Wang

  • Author_Institution
    Commun. Stand. Res. Inst., China Acad. of Telecommun. Res., Beijing, China
  • Volume
    4
  • Issue
    4
  • fYear
    2015
  • fDate
    7 2015
  • Firstpage
    209
  • Lastpage
    219
  • Abstract
    Cell range expansion (CRE) has emerged as a promising technique to improve spectral and energy efficiency (EE) in heterogeneous networks (HetNets). In this study, a resource allocation (RA) problem for maximising the EE is formulated with the considerations on CRE and cross-tier interference coordination (CTIC). Owing to the forms of the objective function and the constraints, the optimisation problem is non-convex and intractable. To solve this problem efficiently, we convert the original problem into an equivalent problem. Then, an efficient iterative algorithm is proposed, where the closed-form expressions of power and resource block allocations are derived by Lagrange dual decomposition method in each iteration. It has been revealed that the proposed iterative algorithm converges to the energy-efficient RA solutions. Compared with the algorithm without CTIC, the simulation results present that the proposed algorithm can achieve the EE gains by 70 percents when the number of the expanded-range users is large and the quality of service requirement is high.
  • Keywords
    cellular radio; concave programming; decomposition; energy conservation; iterative methods; quality of service; radiofrequency interference; resource allocation; CRE; CTIC; EE; HetNets; Lagrange dual decomposition method; RA problem; cell range expansion; closed-form expression; cross-tier interference coordination; energy-efficient resource block allocation; heterogeneous network; iterative algorithm; nonconvex optimisation problem; power allocation; quality of service; spectral efflciency;
  • fLanguage
    English
  • Journal_Title
    Networks, IET
  • Publisher
    iet
  • ISSN
    2047-4954
  • Type

    jour

  • DOI
    10.1049/iet-net.2014.0003
  • Filename
    7137603