Power Efficient User Cooperative Computation to Maximize Completed Tasks in MEC Networks

Pan, Yijin, Pan, Cunhua, Wang, Kezhi, Zhu, Huiling and Wang, Jiangzhou (2019) Power Efficient User Cooperative Computation to Maximize Completed Tasks in MEC Networks. In: Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM), December 9 – 13, in Waikoloa, Hawaii, USA. IEEE, Piscataway, NJ, p. 1570549211. ISBN 9781728109633, 9781728109626

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Official URL: https://doi.org/10.1109/GLOBECOM38437.2019.9013629


In this paper, the user cooperative task computation is explored by sharing the computing capability of the user equipments (UEs) so as to enhance the performance of mobile edge computing (MEC) networks. The number of completed tasks is maximized while minimizing the total power consumption of the UEs by jointly optimizing the user task offloading decision, the computational speed for the offloaded task and the transmit power for task offloading. An iterative algorithm based on the linear programming relaxation is proposed to solve the formulated mixed integer non-linear problem. The simulation results show that the proposed user cooperative computation scheme can achieve a higher completed tasks ratio than the noncooperative scheme.

Item Type: Book Section
Uncontrolled Keywords: Task analysis, servers, power demand, device-to-device communication, mobile handsets, computational modeling, edge computing
Subjects: G400 Computer Science
G500 Information Systems
G600 Software Engineering
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 19 Aug 2019 08:13
Last Modified: 31 Jul 2021 18:52
URI: http://nrl.northumbria.ac.uk/id/eprint/40390

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