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Power Minimization for Cooperative Wireless Powered Mobile Edge Computing Systems

Hu, X; Wong, K-K; Yang, K; (2018) Power Minimization for Cooperative Wireless Powered Mobile Edge Computing Systems. In: The Proceedings of the 2018 IEEE International Conference on Communications (ICC). IEEE: Red Hook (NY), USA. Green open access

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Abstract

This paper studies the power-efficient joint radio and computational resource allocation for two near-far mobile devices in a wireless powered mobile edge computing system. To overcome the double-near-far effect for the farther device, cooperative communications in the form of relaying via the nearer device is considered for offloading. The access point (AP)'s total transmit power minimization problem is formulated under the constraints of the computation tasks, which is equivalent to a min-max problem and can be optimally solved by a two-phase method. Numerical results not only show the significant performance improvement of the proposed scheme, but also demonstrate its effectiveness in handling computation-intensive latency-critical (CILC) tasks and resisting the double-near-far effect.

Type: Proceedings paper
Title: Power Minimization for Cooperative Wireless Powered Mobile Edge Computing Systems
Event: 2018 IEEE International Conference on Communications (ICC)
ISBN-13: 978-1-5386-3180-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICC.2018.8422459
Publisher version: https://doi.org/10.1109/ICC.2018.8422459
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Wireless communication, Task analysis, Resource management, Mobile handsets, Computational modeling, Minimization, Edge computing
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10055171
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