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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 2
[44] M. Ashokkumar and T . Thirumurugan. “Inte‑ [56] T . Yang, Y . Hu, M. C. Gursoy, A. Schmeink, and R.
grated IOT based design and Android ope- Mathar. “Deep Reinforcement Learning based Re‑
rated Multi‑purpose Field Surveillance Robot source Allocation in Low Latency Edge Compu-
for Military Use”. In: Proceedings of the ting Networks”. In: 2018 15th
International Conference for Phoenixes on International Symposium on Wireless
Emerging Current Trends in Engineering and Communication Systems (ISWCS). 2018.
Management (PECTEAM 2018). 2018.
[57] A. Khalili, S. Zarandi, and M. Rasti. “Joint Resource
[45] Z. Liu and Q. Zhang. “Adaptive Task Partitioning at Allocation and Of loading Decision in Mobile Edge
Local Device or Remote Edge Server for Of loa- Computing”. In: IEEE Communications Letters 23
ding in MEC”. In: 2020 IEEE Wireless (2019).
Communications and Networking Conference
[58] Q. Li, J. Zhao, and Y . Gong. “Computation of loa-
(WCNC). 2020.
ding and resource allocation for mobile edge
[46] L. Ji and S. Guo. icient Cooperative
computing with multiple access points”. In:
Resource Allocation in Wireless Powered Mobile IET Communications 13 (2019).
Edge Computing”. In: IEEE Internet of Things Jour‑
nal 6 (2019). [59] J. Zhang, X. Hu, Z. Ning, E. C. ‑. Ngai, L. Zhou, J. Wei,
[47] X. Cao, F . Wang, J. Xu, R. Zhang, and S. Cui. “Joint J. Cheng, and B. Hu. “Energy‑Latency Tradeoff for
Computation and Communication Cooperation Energy‑Aware Of loading in Mobile Edge Compu-
for Energy‑Ef icient Mobile Edge Computing”. In: ting Networks”. In: IEEE Internet of
IEEE Internet of Things Journal 6 (2019). Things Journal 5 (2018).
[48] J. Li and T . Lv. “Deep Neural Network based Com‑ [60] S. Yang, F . Li, M. Shen, X. Chen, X. Fu, and Y . Wang.
putational Resource Allocation for Mobile Edge “Cloudlet Placement and Task Allocation in Mo‑
Computing”. In: 2018 IEEE Globecom Workshops bile Edge Computing”. In: IEEE Internet of Things
(GC Wkshps). 2018. Journal 6 (2019).
[49] Q. Pham, L. B. Le, S. Chung, and W. Hwang. “Mobile [61] P . Wang, C. Yao, Z. Zheng, G. Sun, and L. Song. “Joint
Edge Computing With Wireless Backhaul: Joint Task Assignment, Transmission, and Computing
Task Of loading and Resource Allocation”. In: IEEE Resource Allocation in Multilayer Mobile Edge
Access 7 (2019). Computing Systems”. In: IEEE Internet of Things
[50] M. A. Hossain and N. Ansari. “Energy Aware La‑ Journal 6 (2019).
tency Minimization for Network Slicing Enabled [62] T . X. Tran and D. Pompili. “Joint Task Of loading
Edge Computing”. In: IEEE Transactions on Green and Resource Allocation for Multi‑Server Mobile‑
Communications and Networking (2021). Early Edge Computing Networks”. In: IEEE Transactions
Access. on Vehicular Technology 68 (2019).
[51] L. Feng, Y . Zhou, T . Liu, X. Que, P . Yu, T . Hong, and
[63] J. Liu and Q. Zhang. “Computation Resource Allo‑
X. Qiu. icient loading for Mission‑
cation for Heterogeneous Time‑Critical IoT Ser‑
Critical IoT Services Using EVT‑Embedded Intel‑ vices in MEC”. In: 2020 IEEE Wireless Communica‑
ligent Learning”. In: IEEE Transactions on Green
Communications and Networking 5 (2021). tions and Networking Conference (WCNC). 2020.
[64] C.‑F. Liu, M. Bennis, M. Debbah, and H. V . Poor.
[52] J. Ren, G. Yu, Y . Cai, and Y . He. “Latency Opti‑
“Dynamic Task Of loading and Resource Alloca‑
mization for Resource Allocation in Mobile‑Edge
Computation Of loading”. In: IEEE Transactions on tion for Ultra‑Reliable Low‑Latency Edge Com‑
Wireless Communications 17 (2018). puting”. In: IEEE Transactions on Communications
67 (2019).
[53] J. Li, H. Gao, T . Lv, and Y . Lu. “Deep reinforce‑
[65] Q. Fan and N. Ansari. “Application Aware
ment learning based computation of loading and
resource allocation for MEC”. In: 2018 IEEE Wire‑ Workload Allocation for Edge Computing‑Based
less Communications and Networking Conference IoT”. In: IEEE Internet of Things Journal 5 (2018).
(WCNC). 2018. [66] L. Wang, L. Jiao, J. Li, J. Gedeon, and M. M
[54] X. Lyu, H. Tian, W. Ni, Y . Zhang, P . Zhang, and hlhäuser. “MOERA: Mobility‑Agnostic Online
R. P . Liu. icient Admission of Delay‑ Resource Allocation for Edge Computing”. In:
Sensitive Tasks for Mobile Edge Computing”. In: IEEE Transactions on Mobile Computing 18
IEEE Transactions on Communications 66 (2018). (2019).
[55] Y . Wang, X. Tao, Y . T . Hou, and P . Zhang. “Effec‑ [67] S. Jošilo and G. Dán. “Joint Allocation of
tive Capacity‑Based Resource Allocation in Mo‑ Computing and Wireless Resources to
bile Edge Computing With Two‑Stage Tandem Autonomous Devices in Mobile Edge Computing”.
Queues”. In: IEEE Transactions on Communica‑ In: Proceedings of the 2018 Workshop on Mobile
tions 67 (2019). Edge Communications. 2018.
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