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SCIENTIA SINICA Informationis, Volume 47 , Issue 5 : 664(2017) https://doi.org/10.1360/N112017-00041

Energy efficiency of soft real time service in hyper-cellular network with users' behavior prediction

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  • ReceivedFeb 15, 2017
  • AcceptedMar 20, 2017
  • PublishedMay 8, 2017

Abstract


Funded by

国家重点基础研究发展计划(973)(2012CB316000)

泛网无线通信教育部重点实验室开放课题(KFKT-20141 łinebreak01)

  • Figure 1

    (Color online) Flow of the soft real time service

  • Figure 2

    (Color online) Spectral efficiency in unicast

  • Figure 5

    (Color online) Spectral efficiency of broadcast in a single frequency

  • Figure 10

    (Color online) Simulation in $\alpha$-stable distribution

  • Figure 11

    (Color online) Spectral efficiency and resource efficiency

  • Table 1   Comparison in ranking accuracy
    Algorithm NDCG@1 NDCG@5 NDCG@10 NDCG@20 NDCG@100
    LN (threshold=4)0.83 0.78 0.78 0.81 0.84
    LN (threshold=0)0.83 0.73 0.72 0.74 0.75
    MART0.62 0.68 0.69 0.71 0.73
    AdaRank 0.57 0.62 0.68 0.72 0.74
    Coordinate Ascent0.65 0.69 0.71 0.72 0.74
  • Table 2   Simulation results of spectral efficiency (SE)
    Transmission mode SE $R_{\rm eff}$Threshold
    Unicast 1.71 ${\rm bps}\cdot{\rm Hz}^{-1}$
    PTM 0.43 ${\rm bps}\cdot{\rm Hz}^{-1}$14
    MBSFN $N$=7, $A$=00.66 ${\rm bps}\cdot{\rm Hz}^{-1}$13
    MBSFN $N$=1, $A$=62.24 ${\rm bps}\cdot{\rm Hz}^{-1}$1/76
    MBSFN $N$=7, $A$=122.83 ${\rm bps}\cdot{\rm Hz}^{-1}$7/192