Wireless-Powered Mobile Edge Computing with Cooperated UAV

Abstract

In this paper, we study a wireless-powered mobile edge computing (MEC) system, where the access point (AP) cooperates with an unmanned aerial vehicle (UAV). The AP broadcasts energy to the UAV, while the UAV broadcasts part of its harvested energy to the UEs and helps the UEs compute their offloaded tasks or further offload to the AP for computing. The weighted sum completed task-input bits (WSCTB) of UEs is maximized by optimizing the task allocation, the UAV's energy transmit power and trajectory, under the information-causality constraints, the energy-causality constraints, and the UAV's trajectory constraints. The formulated WSCTB maximization problem is non-convex, and a block coordinate descending algorithm is proposed to solve it iteratively. In the simulation results, the UAV's trajectory and the achieved performance are given to verify the effectiveness of the proposed algorithm in comparison with some practical baselines.

Wireless-Powered Edge Computing With Cooperative UAV: Task, Time Scheduling and Trajectory Design

“…We consider a scenario in which the UAV flies at a constant altitude, denoted as H meters (m), during the task completion time. 1 The locations of the AP and all the UEs are fixed on the ground with zero altitude. Hence, we can adopt a two-dimensional (2D) Euclidean coordinate system to model the horizontal locations of the UEs, the AP and the UAV, whose coordinates are also measured in meters.…”

“…This paper was presented in part at the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, Jul. 2019 [1].…”

Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint

“…I N recent years, unmanned aerial vehicles (UAV)-assisted wireless powered mobile-edge computing (MEC) network has attracted more and more attention [1]- [5]. Due to technological advances, today's UAVs can equip MEC servers with strong computing capabilities and energy transmitters.…”

“…The UAV-assisted wireless powered MEC networks were previously investigated for ground terminals with fixed locations [1]- [5]. To maximize the network utility in terms of computation rate [1], [5] or minimize the energy consumption [2]- [4], previous works optimized UAV trajectory, offloading Xiaoyi Zhou, Tong Ye, and Weiqiang Sun are with the State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China (e-mail: zhouxiaoyi@sjtu.edu.cn; yetong@sjtu.edu.cn; sunwq@sjtu.edu.cn).…”

“…Sometimes, the UAV is required to arrive at specified locations automatically, so that it can be utilized in the places that are difficult for people to reach, thereby reducing labor costs [1], [4]. The previous works solved the optimization problems by offline algorithms such as successive convex approximation [1], [2], [4] and block coordinate descending [5]. The numerical results in [1]- [5] show that these algorithms work well in the scenarios where the locations of terminals are fixed.…”