Page 71 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4




          [17] Aya Mostafa Ahmed, Alaa Alameer Ahmad, Stefano   AUTHORS
                       Greco,    Fulvio
                                                                                   Aidong Yang received a Ph.D. de‑
                 “  Reinforcement  Learning    approach
                                                                                   gree in wireless communications
               for Multi‑target Detection in Massive MIMO radar”.
                                                                                   from the Dalhousie University,
               In: IEEE Transactions on Aerospace and Electronic
                                                                                   Halifax, NS, Canada, in 2017.
               Systems (2021), pp. 1–1.
                                                                                   His research interests include
          [18] Richard   Sutton         Reinforce‑                                 wireless techniques, 5G communi‑
               ment learning: An introduction. MIT press, 2018.                    cations, machine learning and its
          [19]         F   rster  and                                              applications. He has authored and
               Ganesh Kumar Venayagamoorthy. “Computational                        co‑authored over 20 journal and
               intel‑            A                                                 conference papers.
               survey”    IEEE  communications  surveys  &
                                                                                   Xinlang Yue received an M.S. de‑
               tutorials 13.1 (2010), pp. 68–96.
                                                                                   gree in applied mathematics from
          [20]       Daishi     Stuart Russell.                                    Columbia University, New York,
               “Policy invariance under reward transformations:                    NY, US, in 2020. His research in‑
               Theory    application    reward  shaping”  In:                      terests mainly focus on deep re‑
               ICML. Vol. 99. 1999, pp. 278–287.                                   inforcement learning algorithms
          [21]     “Potential‑based      Q‑                                        with real‑world applications.
               value  initialization    equivalent”    Journal  of                 Mohan Wu received a Ph.D. de‑
               Arti icial   Intelligence   Research   19   (2003),
                                                                                   gree in numerical mathematics
               pp. 205–208.
                                                                                   from University of Pittsburgh,
          [22]       Reid      “Complexity                                         Pittsburgh, PA, US, in 2019. His
                 of  real‑time  reinforcement  learning”  In:                      research interests mainly focus
               AAAI. 1993, pp. 99–107.                                             on the  init e element method and
          [23] Dylan Had ield‑Menell, Smitha Milli, Pieter Abbeel,                 machine learning algorithm.
               Stuart J Russell, and Anca Dragan. “Inverse reward
               design”. In: Advances in neural information process‑                Ye Ouyang, Ph.D., is CTO & Senior
                                                                                   Vice President of AsiaInfo Tech‑
               ing systems. 2017, pp. 6765–6774.
                                                                                   nologies.  Dr.  Ouyang has dis‑
          [24] M Series. “Guidelines for evaluation of radio inter‑                tinguished experience in R&D and
               face technologies for IMT‑2020”. In: (2017).                        management in the telecommuni‑
          [25] M Series. “Guidelines for evaluation of radio inter‑                cations industry. Prior to AsiaInfo,
                                                                                   Dr. Ouyang has been Verizon Fel‑
               face technologies for IMT‑Advanced”. In: Report ITU
               638 (2009), pp. 1–72.                           low and Senior Manager in Verizon. His research is in the
                                                               interdisciplinary area of wireless communications, data
          [26]    Sun,     Theodore           Rappaport,           A
                                                               science, and AI. Dr. Ouyang has authored more than 30
               Thomas, Amitava Ghosh, Huan C Nguyen, István  Z
                                                               academic papers, 40 patents, 10 international standards,
               Kovács,    Rodriguez,      and
                                                               and 8 books. Dr. Ouyang obtained a Ph.D. from Stevens In‑
               Andrzej  Partyka.  “Investigation  of  prediction
                                                               stitute of Technology, a Master of Science from Tufts Uni‑
               accuracy  sensitivity      stability  of
                                                               versity, another Master of Science from Columbia Univer‑
               large‑scale    path    models  for  5G
               wireless communications”    IEEE  Transactions on   sity, and a Bachelor’s degree of from Southeast University.
               Vehicular Technology 65.5 (2016), pp. 2843–2860.
























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