Abstract:

This paper considers a multi-unmanned aerial vehicles (UAVs) enabled simultaneous wireless information and power transfer (SWIPT) system,where a UAV acts as a flying base station (BS) and delivers information and energy to users located in rural and geographically constrained areas.We aim to maximize the minimum achievable rate of users by optimizing the user association,UAV trajectory and power allocation subject to the minimum energy storage capacity requirement.However,this problem is a mixed-integer non-convex optimization problem,and cannot be solved directly.To tackle this problem,we propose an iterative algorithm based on the block coordinate descent,where the user association,UAV trajectory and transmit power are alternately optimized.Especially,the successive convex approximation (SCA) technique is applied to transform the non-convex constraints into convex functions.Simulation results are provided to demonstrate the convergence behavior and the great performance of the proposed algorithm in terms of the minimum achievable rate of all users in multi-UAV enabled SWIPT networks.

Key words: simultaneous wireless information and power transfer (SWIPT), unmanned aerial vehicle (UAV), trajectory design, resource allocation