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












           [68] M. Chen and Y . Hao. “Task Of loading for Mobile   [79] P . Wang,  Z. Zheng, B. Di, and L. Song. “HetMEC:
                Edge Computing in Software De ined Ultra‑Dense        Latency‑Optimal Task Assignment and Resource
                Network”. In: IEEE  Journal on Selected Areas in      Allocation for Heterogeneous Multi‑Layer Mobile






                Communications 36 (2018).                             Edge Computing”. In: IEEE Transactions on Wire‑
                                                                      less Communications 18 (2019).







           [69] J. Wang,  L. Zhao, J. Liu, and N. Kato.  “Smart  Re‑

                source Allocation  for Mobile  Edge Computing:   [80] J. Zhang, X. Hu, Z. Ning, E. C. ‑. Ngai, L. Zhou, J. Wei,







                A Deep Reinforcement Learning Approach”. In:          J. Cheng, B. Hu, and V . C. M. Leung. “Joint Resource
                IEEE Transactions on Emerging Topics in Compu-        Allocation  for Latency‑Sensitive Services Over



                ting (2019).                                          Mobile Edge Computing Networks With Caching”.
                                                                      In: IEEE Internet of Things Journal 6 (2019).









           [70] J. Chen, S. Chen, Q.  Wang,  B. Cao, G. Feng, and J.




                                                                [81] L. Yang,  J. Cao, H. Cheng, and Y . Ji. “Multi‑User







                Hu. “iRAF: A Deep Reinforcement Learning Ap‑







                                                                      Computation Partitioning for Latency Sensitive
                proach for Collaborative Mobile Edge Computing
                IoT Networks”. In: IEEE Internet of Things Journal    Mobile Cloud Applications”. In: IEEE Transactions
                6 (2019).                                             on Computers 64 (2015).
                                                                [82] R. Islambouli and S. Sharafeddine. “Optimized 3D
           [71] N. Zhu, X. Xu, S. Han, and S. Lv. “Sleep‑Scheduling

                                                                      Deployment of UAV‑Mounted Cloudlets to Sup‑




                and Joint Computation‑Communication Resource
                Allocation in MEC Networks for 5G IIoT”. In: 2021     port Latency‑Sensitive Services in IoT Networks”.

                IEEE  Wireless Communications and Networking          In: IEEE Access (2019).


                Conference (WCNC). 2021.                        [83] T . Zhang, Y . Xu,  J. Loo, D. Yang,  and L. Xiao.












                                                                      “Joint Computation and Communication Design



           [72] C.‑W. Hsu, Y .‑L. Hsu, and H.‑Y . Wei. “Energy‑




                                                                      for UAV‑Assisted Mobile Edge Computing in IoT”.





                  icient Edge   loading in Heterogeneous In‑          In: IEEE  Transactions on Industrial Informatics




                dustrial IoT Networks for Factory of Future”. In:     (2020).
                IEEE Access 8 (2020).
                                                                [84] E. K. Markakis, I. Politis, A. Lykourgiotis, Y . Rebahi,








           [73] S. Wang,  M.  Chen, X. Liu, C. Yin,  S. Cui, and H. V .

                                                                      G. Mastorakis, C. X. Mavromoustakis, and E. Pal‑
                Poor. “A Machine Learning Approach for Task and
                                                                      lis.   icient Next Generation Emergency Com‑






                Resource Allocation  in Mobile  Edge Computing        munications over Multi‑Access Edge Computing”.


                Based Networks”. In: IEEE Internet of Things Jour‑    In: IEEE Communications Magazine 55 (2017).
                nal (2020).



                                                                [85] M.  Mezzavilla,  M. Polese, A. Zanella,  A. Dhanan‑

           [74] S. Sardellitti, M. Merluzzi, and S. Barbarossa. “Op‑   jay, S. Rangan,  C. Kessler, T . S. Rappaport,  and






                timal Association of Mobile Users to Multi‑Access     M. Zorzi. “Public Safety Communications above 6
                Edge Computing Resources”. In: 2018  IEEE  In‑        GHz: Challenges and Opportunities”. In: IEEE Ac‑




                ternational Conference on Communications Work‑        cess 6 (2018).
                shops (ICC Workshops). 2018.












                                                                [86] L. Li, X. Wen, Z. Lu, Q. Pan, W. Jing, and Z. Hu.
           [75]  H. Li, H. Xu, C. Zhou, X. Lü , and Z. Han. “Joint Opti‑   “Energy‑Ef icient UAV‑Enabled MEC System: Bits

                mization Strategy of Computation Of loading and       Allocation  Optimization  and Trajectory Design”.



                Resource Allocation  in Multi‑Access  Edge Com‑       In: Sensors (2019).

                puting  Environment”.  In:  IEEE  Transactions  on
                                                                [87] J. Xiong, H. Guo, and J. Liu. “Task Of loading in UAV‑
                Vehicular Technology 69 (2020).
                                                                      Aided Edge Computing: Bit Allocation and Trajec‑
                                                                      tory Optimization”. In: IEEE Communications Let‑






           [76] Z. Yang,  C. Pan, K. Wang,  and M. Shikh‑Bahaei.
                                                                      ters 23 (2019).

                “Energy   icient Resource Allocation  in UAV‑






                Enabled  Mobile  Edge Computing Networks”. In:   [88] Z. Yu, Y . Gong, S. Gong, and Y . Guo. “Joint Task Of‑
                IEEE Transactions on Wireless Communications 18        loading and Resource Allocation in UAV‑Enabled
                (2019).                                               Mobile  Edge Computing”. In: IEEE  Internet  of



           [77] E. El  Haber, H. A. Alameddine, C. Assi, and          Things Journal 7 (2020).








                S. Sharafeddine. “UAV‑aided Ultra‑Reliable      [89] J. Zhang, L. Zhou, F . Zhou, B. Seet, H. Zhang, Z. Cai,

                Low‑Latency Computation   loading in                  and J. Wei. “Computation‑Ef icient Of loading and



                Future IoT Networks”. In: IEEE Transactions on        Trajectory Scheduling for Multi‑UAV Assisted Mo‑

                Communications (2021). Early Access.                  bile Edge Computing”. In: IEEE Transactions on Ve‑
                                                                      hicular Technology 69 (2020).



           [78]  Y . Liu, K. Xiong, Q. Ni, P . Fan, and K. B. Letaief.








                “UAV‑Assisted     Wireless     Powered          [90] R. Chai, J. Lin, M. Chen, and Q. Chen. “Task Exe‑










                Cooperative  Mobile   Edge    Computing:    Joint     cution Cost Minimization‑Based Joint Computa‑




                  loading,    CPU  Control,    and    Trajectory      tion   loading and Resource Allocation  for Cel‑





                Optimization”.    In:    IEEE  Internet  of  Things   lular D2D MEC Systems”. In: IEEE Systems Journal
                Journal 7 (2020).                                     13 (2019).
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