• DocumentCode
    3600766
  • Title

    Budgeted Cell Planning for Cellular Networks With Small Cells

  • Author

    Shaowei Wang ; Wentao Zhao ; Chonggang Wang

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China
  • Volume
    64
  • Issue
    10
  • fYear
    2015
  • Firstpage
    4797
  • Lastpage
    4806
  • Abstract
    Heterogeneous networks (HetNets), where small cells are deployed within the coverage of macrocells, can increase capacity and enhance coverage of a cellular system. Compared with macrocells, small cells have superiority in terms of low installation and operation cost because of their small physical size and low transmission power. Hence, HetNets are deemed as a cost-effective way to address the everlasting radio spectrum crisis. On the other hand, HetNets also unfold a new paradigm from the viewpoint of cellular network planning. In this paper, we study the budgeted cell planning problem in HetNets, where our aim is to maximize the number of traffic demand nodes whose required rates are fully satisfied with a given budget. Our optimization task is challenging, and the formulated problem is hard to solve because of constraints in practical cellular systems, including power limitation, available bandwidth, and traffic requirements. We develop an approximation algorithm that yields an (e - 1)/2e fraction of the optimum, which not only provides quality-guaranteed solutions to the budgeted cel planning problem but sheds useful lights on how to plan a HetNet with limited capital expenditure as well. Preliminary numerical results show that small cells can improve the capacity of a cellular system significantly if they are properly planned.
  • Keywords
    approximation theory; cellular radio; optimisation; radio spectrum management; telecommunication network planning; telecommunication traffic; HetNets; approximation algorithm; available bandwidth; budgeted cell planning problem; cellular network planning; heterogeneous networks; low installation cost; low operation cost; low transmission power; macrocell coverage; optimization task; power limitation; radio spectrum crisis; small cells; small physical size; traffic demand node number maximization; traffic requirements; Approximation algorithms; Approximation methods; Bandwidth; Interference; Planning; Resource management; Signal to noise ratio; Approximation algorithm; budgeted cell planning; heterogeneous network; heterogeneous network (HetNet);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2014.2366783
  • Filename
    6945331