• DocumentCode
    2983491
  • Title

    An Improved SINR Estimation Method for Heterogeneous Networks

  • Author

    Tiantian Ran ; Songlin Sun ; Yan Sun ; Na Chen

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Distributed resource management becomes a popular concept in next generation cellular network. It however also results in less information available for each eNB to make appropriate decisions. Signal to Interference plus Noise Ratio (SINR), as one of the important inputs for eNBs when considering allocating appropriate resource blocks (RBs) to User Equipment (UE), is designed as the function of CQI (Channel Quality Indicator) reported from UE. However, too much signaling overhead and estimation error is induced with CQI mechanism. This paper presents an improved downlink SINR estimation method together with a corresponding resource allocation scheme for Low Power Nodes (LPNs) in Heterogeneous Networks (HetNets). Cognitive Radio (CR) is introduced to construct a distributed adaptive channel evaluation model. The work makes use of the Frequency Domain Packet Scheduling (FDPS) implementation in resource block level without CQI report from UEs. Simulation results show that the proposed scheme can achieve considerable system performance improvement in OFDMA based HetNets.
  • Keywords
    radio networks; radiofrequency interference; telecommunication scheduling; CQI; OFDMA based HetNets; SINR estimation method; channel quality indicator; distributed resource management; frequency domain packet scheduling; heterogeneous networks; low power nodes; next generation cellular network; signal-to-interference plus noise ratio; Estimation error; Interference; Mathematical model; Resource management; Sensors; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145688
  • Filename
    7145688