Page 114 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
P. 114

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4




          REFERENCES                                                 InternationalConference  on  Smart  City,  pp.
                                                                     153-158, 2015.
          [1]   Rusek,  K.,  Suárez-Varela,  J.,  Mestres,  A.,
               Barlet-Ros, P., & Cabellos-Aparicio, A. (2019,   [10]  M.  Ball  and  R.  M.  Slyke,  "Backtracking
               April).  Unveiling  the  potential  of  Graph         algorithms    for    network     reliability
               Neural Networks for network modeling and              analysis", Ann.  Discrete  Mathematics,  vol.  1,
               optimization  in  SDN.  In  Proceedings  of  the      pp. 49-64, 1977.
               2019 ACM Symposium on SDN Research (pp.         [11]  R.  R.  Boorstyn  and  H.  Frank,  "Large-scale
               140-151).                                             network    topological   optimization", IEEE
          [2]   Gui, J., & Zhou, K. (2016). Flexible adjustments     Trans.  Communications,  vol.  COM-25,  no.  1,
               between  energy  and  capacity  for  topology         pp. 29-47, 1977.
               control in heterogeneous wireless multi-hop     [12]  ITU-T, "Architectural framework for machine
               networks.  Journal  of  Network  and  Systems         learning  in  future  networks  including  IMT-
               Management, 24(4), 789-812.                           2020", ITU  white  paper.  Communications,
          [3]   Ma, R., Cao, X., Zhang, S., Liu, L., Cheng, Y., &    Rec. ITU-T Y.3172, pp. 14-19, 2019.
               Sun,  C.  (2018,  December).  A  DBN-Based
               Independent  Set  Learning  Algorithm  for      AUTHORS
               Capacity Optimization in Wireless Networks.                   ZhouWei Gang obtained a master's
               In  2018  IEEE  Global  Communications                        degree      in      communication
               Conference (GLOBECOM) (pp. 1-6). IEEE.                        engineering in 2012. He worked for

          [4]   Heller,  B.,  Seetharaman,  S.,  Mahadevan,  P.,             China  Mobile  Guizhou  Company,
               Yiakoumis,  Y.,  Sharma,  P.,  Banerjee,  S.,  &              mainly engaged in network analysis,
               McKeown, N. (2010, April). Elastictree: Saving                data processing, IT development and
               energy in data center networks. In Nsdi (Vol.                 artificial intelligence research. He has
               10, pp. 249-264).                               published  8  papers  (in  Chinese)  including
                                                               "Research on VoLTE MOS Value Slicing Evaluation
          [5]   Zhuo, D., Ghobadi, M., Mahajan, R., Förster, K.   Method",  "Supporting  4G  Business  Development
               T., Krishnamurthy, A., & Anderson, T. (2017,    Based  on  the  "User-Network-Business"  Three-
               August).  Understanding  and  mitigating        dimensional Method" (Chinese), and published "A
               packet corruption in data center networks. In   Language  Conversion  Method  Based  on  Artificial
               Proceedings  of  the  Conference  of  the  ACM   Intelligence”. He has been involved in five patents
               Special    Interest   Group     on    Data      including  a  method  and  device  for  early  warning
               Communication (pp. 362-375).
                                                               and  judgment  of  single-point  operation  of
          [6]   Perozzi,  B.,  Al-Rfou,  R.,  &  Skiena,  S.  (2014,   transmission services. At present, he mainly studies
               August). Deepwalk: Online learning of social    the application of artificial intelligence in the field of
               representations.  In  Proceedings  of  the  20th   the telecom industry.
               ACM  SIGKDD  international  conference  on
               Knowledge  discovery  and  data  mining  (pp.                  Qianyin Rao obtained a bachelor's
               701-710).                                                      degree  in  the  telecom  industry
                                                                              engineering in 2005, and worked in
          [7]   F.A.  Gers,  J.  Schmidhuber  and  F.  Cummins,
               Learning to forget: Continual prediction with                  the   field   of   China   Mobile
               lstm, 1999.                                                    transmission and IP bearer network
                                                                              production    management      and
          [8]   Qing  He,  Arash  Moayyedi,  György  Dán,                     optimization. He published a patent
               Georgios  P.  Koudouridis,  Per  Tengkvist,  "A   "A  method  of  MPLS  service  application  based  on
               Meta-Learning  Scheme  for  Adaptive  Short-    VPN nesting technology" and "A degradation of IP
               Term  Network  Traffic  Prediction", Selected   network  link  quality"  "Methods  of  Detection  and
               Areas in Communications IEEE Journal on, vol.   Protection",  won  1  group-level  and  3  provincial-
               38, no. 10, pp. 2271-2283, 2020.                level scientific and technological innovation awards
          [9]   Y.  Tian  and  L.  Pan,  "Predicting  Short-Term   in the field of transmission and bearing. At present,
               Traffic  Flow  by  Long  Short-Term  Memory     his main research is the automatic detection of the
               Recurrent  Neural  Network", 2015  IEEE         same  route  of  the  transmission  network  and
                                                               automatic service opening.





          98                                 © International Telecommunication Union, 2021
   109   110   111   112   113   114   115   116   117   118   119