• DocumentCode
    615894
  • Title

    Joint dynamic frequency allocation and routing strategy for optimizing the power consumption and data rate of OFDMA based femtocell networks

  • Author

    Pramudito, Wahyu ; Alsusa, Emad

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    655
  • Lastpage
    660
  • Abstract
    This paper proposes a new resource management (RRM) algorithm that utilizes the self-organizing network functionality for optimizing spectrum usage and minimizing co-layer interference between femtocells. To achieve this, the proposed algorithm dynamically maximizes usage of all the available subcarriers by exploiting knowledge of the users´ location. Taking into account the associated overhead and power consumption it will be shown that the proposed algorithm improves the average data rate per user as well as reduced the overall system power consumption in all femtocell density scenarios, and, is also superior to existing techniques. The fact that the proposed minimizes power consumption without compromising the data rate makes it an ideal candidate for adoption in future green heterogeneous wireless networks.
  • Keywords
    OFDM modulation; femtocellular radio; frequency allocation; frequency division multiple access; interference suppression; mobility management (mobile radio); telecommunication network routing; OFDMA based femtocell networks; RRM algorithm; co-layer interference minimization; data rate; femtocell density scenarios; green heterogeneous wireless networks; joint dynamic frequency allocation; power consumption optimization; resource management algorithm; routing strategy; self-organizing network functionality; spectrum usage optimization; user location; Frequency modulation; Heuristic algorithms; Interference; Iron; Power demand; Radio spectrum management; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6554641
  • Filename
    6554641