Page 136 - 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







































          Fig. 8 – Beam selection results for a BS serving a UAV comparing RL versus a simple baseline algorithm. The optimal result (best beam pair) is also
          included. The top plot presents the reward is the magnitude of the equivalent channel for the   ‑th beam pair at the time    (higher reward values are
          better). The bottom plot shows the AoA    at the UAV at each time   .


          REFERENCES

           [1] Y.‑G. Lim, Y. J. Cho, M. S. Sim, Y. Kim, C.‑B. Chae,  [6] LASSE ‑ UFPA. Radio‑Strike: A Reinforcement Learn‑
               and R. A. Valenzuela. “Map‑Based Millimeter‑Wave      ing Game for MIMO Beam Selection. 2021. URL:
               Channel Models: An Overview, Data for B5G Eval‑       https://aiforgood.itu.int/events/radio-
               uation and Machine Learning”. In: IEEE Wire‑          strike - a - reinforcement - learning - game -
               less Communications 27.4 (Aug. 2020). Conference      for - mimo - beam - selection - in - unreal -
               Name: IEEE Wireless Communications, pp. 54–62.        engine-3-d-environments/.
               ISSN: 1558‑0687. DOI: 10 . 1109 / MWC . 001 .    [7] S. Wu, C. Wang, e M. Aggoune, M. M. Alwakeel, and
               1900315.
                                                                     X. You. “A General 3‑D Non‑Stationary 5G Wireless
           [2] Hongji Huang, Song Guo, Guan Gui, Zhen Yang,          Channel Model”. In: IEEE Transactions on Commu‑
               Jianhua Zhang, Hikmet Sari, and Fumiyuki Adachi.      nications 66.7 (July 2018). Conference Name: IEEE
               “Deep Learning for Physical‑Layer 5G Wireless         Transactions on Communications, pp. 3065–3078.
               Techniques: Opportunities, Challenges and So‑         ISSN: 1558‑0857. DOI: 10 . 1109 / TCOMM . 2017 .
               lutions”. In: IEEE Wireless Communications 27.1       2779128.
               (2020), pp. 214–222. DOI: 10.1109/MWC.2019.      [8] J. Bian, C.‑X. Wang, X. Gao, X. You, and M. Zhang.
               1900027.                                              “A General 3D Non‑Stationary Wireless Channel
           [3] Chaoyun Zhang, Paul Patras, and Hamed Haddadi.        Model for 5G and Beyond”. In: IEEE Transactions
               “Deep Learning in Mobile and Wireless Network‑        on Wireless Communications (2021). Conference
               ing: A Survey”. In: IEEE Communications Surveys       Name: IEEE Transactions on Wireless Communi‑
               & Tutorials 21.3 (2019), pp. 2224–2287. DOI: 10.      cations, pp. 1–1. ISSN: 1558‑2248. DOI: 10.1109/
               1109/COMST.2019.2904897.                              TWC.2020.3047973.
           [4] Focus Group on Machine Learning for Future Net‑  [9] J. Shen et al. “Natural TTS Synthesis by Condition‑
               works including 5G. https://www.itu.int/en/           ing WaveNet on Mel Spectrogram Predictions”. In:
               ITU - T / focusgroups / ml5g / Pages / default .      https://arxiv.org/abs/1712.05884. 2018.
               aspx. (Accessed on 03/19/2020).
                                                               [10] Theodore S Rappaport, Yunchou Xing, Ojas Kan‑
           [5] C. De Lima et al. “Convergent Communication,          here, Shihao Ju, Arjuna Madanayake, Soumyajit
               Sensing and Localization in 6G Systems: An            Mandal, Ahmed Alkhateeb, and Georgios C Tri‑
               Overview of Technologies, Opportunities and           chopoulos.  “Wireless  communications  and  appli‑
               Challenges”. In: IEEE Access 9 (2021), pp. 26902–     cations  above  100  GHz:  Opportunities  and  chal‑
               26925. DOI: 10.1109/ACCESS.2021.3053486.              lenges for 6G and beyond” . In: IEEE Access 7 (2019),
                                                                     pp. 78729–78757.

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