• DocumentCode
    1890027
  • Title

    Capacity optimization of femtocell networks

  • Author

    Fusco, Giuseppe ; Azimi, Navid Hamed ; Gupta, H.

  • Author_Institution
    Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
  • fYear
    2013
  • fDate
    24-27 June 2013
  • Firstpage
    460
  • Lastpage
    468
  • Abstract
    Femtocells are short-range devices deployed to provide increased coverage and capacity in a small area. They offer a way to increase the capacity of a cellular network by relaying cellular traffic to the wired network. In this paper, we address the problem of optimizing the overall capacity of a femtocell network, as defined by Shannon´s law and physical interference, by appropriate power and channel assignment to the femtocells. In particular, we design an approximation algorithm for the objective of maximizing the total network capacity, for large uniform networks with arbitrary coverage regions. We also consider the second objective of maximizing the minimum capacity at a femtocell in the network, and design an algorithm for arbitrary networks which has an appropriate performance guarantee if there is a lower-bound on the distance of any two femtocells. Through simulations, we demonstrate the performance of our designed algorithms by comparing them with a bound on the optimal values.
  • Keywords
    channel allocation; femtocellular radio; radiofrequency interference; telecommunication traffic; Shannon law; approximation algorithm; cellular network; cellular traffic relaying; channel assignment; femtocell network; network capacity optimization; physical interference; short-range device; wired network; Artificial neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2013 10th Annual IEEE Communications Society Conference on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/SAHCN.2013.6645017
  • Filename
    6645017