• DocumentCode
    1916897
  • Title

    Green-fuzzy - An intelligent user allocation model for macro-femto co-channel networks

  • Author

    Abdon Almeida, Luciana ; Pessoa Monteiro, Flavia ; Lima Santana, Adamo ; Natalino, Carlos ; Frances, Carlos Renato ; Lisboa Cardoso, Diego

  • Author_Institution
    Lab. of High Performance Networks, Fed. Univ. of Para, Belem, Brazil
  • fYear
    2013
  • fDate
    4-7 Aug. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The concept of femtocell aims to combine fixed-line broadband access with mobile telephony using low cost and power third and fourth generation base stations in the subscribers homes. Femtocells are self-configurable, however, can limit the quality of service (QoS) and reduce the efficiency of the network, since it uses old assignment standards, such as the power level of the signal. Thus, this paper presents a proposal for optimized allocation of users in a macro-femto co-channel network, in order to maximize the QoS of the applications and energy efficiency, toward the concept of green networks. A fuzzy inference system is implemented to define which network the mobile phone should connect; the model is flexible, allowing different analyzes, and adaptable to the specific characteristics of the telephone companies. Results showed that the model proposed can improve energy efficiency up to 25%, when compared to traditional QoS approaches.
  • Keywords
    femtocellular radio; fuzzy reasoning; quality of service; telephony; QoS; energy efficiency; fixed-line broadband access; fourth generation base stations; fuzzy inference system; green-fuzzy; intelligent user allocation model; macro-femto co-channel networks; mobile phone; mobile telephony; power third base stations; subscribers homes; Computational modeling; Load modeling; Pragmatics; Protocols; Sociology; Statistics; Throughput; femtocell; fuzzy logic; green network; optimized allocation; quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave & Optoelectronics Conference (IMOC), 2013 SBMO/IEEE MTT-S International
  • Conference_Location
    Rio de Janeiro
  • Type

    conf

  • DOI
    10.1109/IMOC.2013.6646567
  • Filename
    6646567