• DocumentCode
    2098131
  • Title

    Adaptive radio resource management for QoS optimization in Green long term evolution network

  • Author

    Pramudito, Wahyu ; Alsusa, Emad

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    6459
  • Lastpage
    6463
  • Abstract
    This paper proposes an adaptive radio resource management (RRM) algorithm based on self-organizing network (SON) and distance vector routing protocol (DVRP) strategy for power consumption reduction and quality of service (QoS) improvement in long term evolution (LTE) network. Using SON principle, the base stations downlink transmissions can be effectively organized to maximise interference avoidance. Combining with DVRP routing strategy for enhance resource allocation, it will be shown that the proposed strategy is capable to adaptively adjust the power consumption of the BS and support the increasing demand on QoS per user in LTE cellular network.
  • Keywords
    Long Term Evolution; cellular radio; interference suppression; mobility management (mobile radio); quality of service; resource allocation; routing protocols; BS; DVRP strategy; LTE cellular network; QoS optimization; RRM algorithm; SON principle; adaptive radio resource management algorithm; base stations; base stations downlink transmissions; distance vector routing protocol strategy; green long term evolution network; interference avoidance maximisation; power consumption reduction; quality of service improvement; resource allocation enhancement; self-organizing network; Interference; Power demand; Quality of service; Radio frequency; Resource management; Scattering; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655646
  • Filename
    6655646