UAV-Aided Mobile Edge Computing Systems With One by One Access Scheme

In this paper, we employ the unmanned aerial vehicle (UAV) as a flying base station (BS) to process the application tasks migrated from the terminal devices (TDs) for saving TDs' energy consumption. To tackle the huge volume of data at TDs, we propose a resource partitioning strategy scheme where one portion of bits at TD is computed locally and the remaining portion is transmitted to UAV for computing. Our goal is to minimize the total energy consumption of TDs by jointly optimizing bit allocation, resource partitioning, power allocation at TDs/UAV, TD-UAV scheduling, and UAV trajectory with One-by-One access scheme. Due to the non-convexity of the original problem with mixed integer variables, we decompose the problem into two sub-problems. Specifically, in the first sub-problem, the TD-UAV scheduling is obtained by solving dual problem with given UAV trajectory. In the second sub-problem, the UAV trajectory is obtained by using successive convex optimization techniques with given TD-UAV scheduling. Then, an iterative algorithm is proposed to optimize the TD-UAV scheduling and UAV trajectory alternately. Numerical results are provided to demonstrate the superiority of our proposed scheme over the benchmarks.