• DocumentCode
    705001
  • Title

    Analytical Downlink Effective SINR Evaluation in LTE Networks

  • Author

    Ben Hcine, Marwane ; Bouallegue, Ridha

  • Author_Institution
    Higher Sch. of Commun., Univ. of Carthage, Ariana, Tunisia
  • fYear
    2015
  • fDate
    24-27 March 2015
  • Firstpage
    376
  • Lastpage
    381
  • Abstract
    The aim of this work is to provide an original analytical framework for downlink effective Signal to Interference plus Noise Ratio (SINR) evaluation in LTE networks. The classical single carrier SINR performance evaluation is extended to multi-carrier systems operating over frequency selective channels. Extension is achieved by expressing the link outage probability in terms of the statistics of the effective SINR. For effective SINR computation, the exponential effective SINR mapping (EESM) method is used on this work. Closed-form expression for the link outage probability is achieved assuming a log skew normal approximation for single carrier case. Then we rely on the lognormal approximation to express the exponential effective SINR distribution as a function of the mean and standard deviation of the SINR of a generic subcarrier. Achieved formulas are easily computable and can be obtained for a User Equipment (UE) located at any distance from its serving eNodeB (eNB). Simulations show that the proposed framework provides results with accuracy within 0.5 dB.
  • Keywords
    Long Term Evolution; approximation theory; probability; LTE networks; analytical downlink effective SINR evaluation; closed-form expression; eNodeB; exponential effective SINR mapping method; frequency selective channels; link outage probability; log skew normal approximation; signal to interference plus noise ratio evaluation; user equipment; Accuracy; Approximation methods; Interference; Long Term Evolution; Shadow mapping; Signal to noise ratio; Effective SINR; LTE; Log Skew Normal Approximation; OFDMA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
  • Conference_Location
    Gwangiu
  • Print_ISBN
    978-1-4799-1774-7
  • Type

    conf

  • DOI
    10.1109/WAINA.2015.51
  • Filename
    7096204