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2020 ITU Kaleidoscope Academic Conference




           by more than 1/4, while the average RSRP is only reduced            REFERENCES
           by 3%.
                                                               [1] “Study on New Radio (NR) to support non terrestrial
                                                                  networks”, 3GPP TR 38.811, Jun. 2018.

                                                               [2] M. Gkizeli, R. Tafazolli and B. Evans, “Modeling
                                                                  handover in mobile satellite diversity based systems”,
                                                                  in Proc. 54th Vehicular Technology Conference,2001,
                                                                  pp. 131-135.
                                                               [3] E. Del Re, R. Fantacci and G. Giambene, “Handover
                                                                  queuing strategies with dynamic and fixed channel
                                                                  allocation techniques in low Earth orbit mobile satellite
                                                                  systems”, IEEE Transactions on Communications, vol.
                                                                  47, no. 1, pp. 89-102, Jan. 1999.

                                                               [4] E. Del Re, R. Fantacci and G. Giambene, “Efficient
                                                                  dynamic channel allocation techniques with handover
                                                                  queuing for mobile satellite networks”, IEEE Journal
                                                                  on Selected Areas in Communications, vol. 13, no. 2,
           Figure 8 – The cumulative distribution function of handover  pp. 397-405, Feb. 1995.
           number for different handover optimization methods
                                                               [5] Z. Wu, F. Jin, J. Luo, Y. Fu, J. Shan and G.
                                                                  Hu, “A Graph-Based Satellite Handover Framework
                                                                  for LEO Satellite Communication Networks”, IEEE
                                                                  Communications Letters, vol. 20, no. 8, pp. 1547-1550,
                                                                  Aug. 2016.

                                                               [6] V.  Yajnanarayana,  H.  Rydén  and  L.  Hévizi,
                                                                  “5G   Handover  using  Reinforcement  Learning”,
                                                                  arXiv:1904.02572, 2019.
                                                               [7] Y. Chen, X. Lin, T. Khan and M. Mozaffari, “Efficient
                                                                  Drone   Mobility  Support  Using  Reinforcement
                                                                  Learning”, arXiv:1911.09715, 2019.

                                                               [8] M. Chen, Y. Zhang, Y. Teng, B. Liu and L. Zhang,
                                                                  “Reinforcement Learning Based Signal Quality Aware
                                                                  Handover Scheme for LEO Satellite Communication
                                                                  Networks”, in HCC 2019. Lecture Notes in Computer
                                                                  Science, vol 11956. Springer, Cham
           Figure 9 – Average RSRP during simulation for different
           handover optimization methods                       [9] A. Alkhateeb, I. Beltagy and S. Alex, “Machine learning
                                                                  for reliable mmwave systems:blockage prediction and
                                                                  proactive handoff”, in Proc. IEEE Global Conference
                                                                  on Signal and Information Processing, 2018, pp.
                           5.  CONCLUSION                         1055-1059.
           This paper proposes a CNN based handover optimization  [10] N. Aljeri and A. Boukerche, “An Efficient Handover
           method for LEO satellite network. The CNN structure is  Trigger Scheme for Vehicular Networks Using
           customized based on LeNet-5 and is used to extract the hidden  Recurrent Neural Networks”, in Proc. 15th ACM
           information in the historical RSRP. In order to produce the  International Symposium on QoS and Security for
           training data for CNN, a novel directed graph based model  Wireless and Mobile Networks, 2019, pp. 85-91.
           is proposed to find the optimal handover strategy when the
           UE knows its future RSRP. After the training, the CNN can  [11] “Solutions for NR to support non-terrestrial networks
           be used to find a suboptimal handover decision based on  (NTN)”, 3GPP TR 38.821, Mar. 2019.
           its historical RSRP. In the simulation, the CNN is verified
           to be effective in handover optimization. The number of  [12] Y. Lecun, L. Bottou, Y. Bengio and P. Haffner,
           handovers is significantly reduced while the average RSRP is  “Gradient-based  learning  applied  to  document
           only reduced by 3%.                                    recognition”, Proceedings of the IEEE, vol. 86, no. 11,
                                                                  pp. 2278-2324, Nov. 1998.
                                                              [13] “On beam layout definition for NTN system level
                                                                  simulations”, Thales R1-1907087, Mar. 2019.


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