Abstract
Mobile-edge computing (MEC) has been recognized as a promising technique to provide wireless user equipments (UEs) with enhanced computation capability. In this paper, we consider an MEC cellular system, which consists of a number of base stations (BSs) and UEs. We suppose that each BS is equipped with an MEC server which offers computation offloading service for UEs. Considering the fairness among UEs in task execution, we formulate the computation offloading problem as a min-max worst-case design problem that minimizes the maximal task execution time among all the UEs. To solve the optimization problem, we consider both single UE case and multiple UEs case. For single UE case, we design the analytical task partition and computation offloading strategy and also solve the optimization problem via convex optimization tools. For multiple UEs case, to tackle the coupling among multiple UEs, we propose a heuristic computation offloading algorithm which designs the computation offloading strategy for UEs sequentially. Numerical results demonstrate the effectiveness of the proposed algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
