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The integration of Mobile Edge Computing (MEC) and Wireless Power Transfer(WPT), which is usually referred to as Wireless Powered Mobile Edge Computing(WP-MEC), has been recognized as a promising technique to enhance the lifetimeand computation capacity of wireless devices (WDs). Compared to theconventional battery-powered MEC networks, WP-MEC brings new challenges to thecomputation scheduling problem because we have to jointly optimize the resourceallocation in WPT and computation offloading. In this paper, we consider theenergy minimization problem for WP-MEC networks with multiple WDs and multipleaccess points. We design an online algorithm by transforming the originalproblem into a series of deterministic optimization problems based on theLyapunov optimization theory. To reduce the time complexity of our algorithm,the optimization problem is relaxed and decomposed into several independentsubproblems. After solving each subproblem, we adjust the computed values ofvariables to obtain a feasible solution. Extensive simulations are conducted tovalidate the performance of the proposed algorithm.

An Online Scheduling Algorithm for Energy Minimization in Wireless Powered Mobile Edge Computing Networks