Common Throughput Maximization for UAV-Enabled Interference Channel With Wireless Powered Communications

Abstract

This paper studies an unmanned aerial vehicle (UAV)-enabled two-user interference channel for wireless powered communication networks (WPCNs), in which two UAVs wirelessly charge two lowpower Internet-of-things (IoT)-devices on the ground and collect information from them. We consider two scenarios when both UAVs cooperate in energy transmission and/or information reception via interference coordination and coordinated multi-point (CoMP), respectively. For both scenarios, the UAVs' controllable mobility is exploited via trajectory design to not only enhance the wireless power transfer (WPT) efficiency in the downlink, but also mitigate the co-channel interference for wireless information transfer (WIT) in the uplink. In particular, the objective is to maximize the uplink common (minimum) throughput of the two IoT-devices over a finite UAV mission period, by jointly optimizing the trajectories of both UAVs and the downlink/uplink wireless resource allocation, subject to the maximum flying speed and collision avoidance constraints at UAVs, as well as the individual energy neutrality constraints at IoT-devices. Under both scenarios of interference coordination and CoMP, we first obtain the optimal solutions to the two common-rate maximization problems in well structures for the special case with sufficiently long UAV mission duration. Next, we obtain high-quality solutions for the practical case with finite UAV mission duration by using the alternating optimization and successive convex approximation (SCA).Unmanned aerial vehicle (UAV), wireless powered communication networks (WPCN), wireless power transfer (WPT), coordinated multi-point (CoMP), trajectory optimization, resource allocation.

UAV-Assisted Wireless Powered Cooperative Mobile Edge Computing: Joint Offloading, CPU Control, and Trajectory Optimization

“…4 It is observed that as T increases, the minimal required energy of UAV increases. Compared to the fixed trajectory 4 In general, when the initial and final positions are different, the direct link is widely considered as a benchmark trajectory, see, e.g., [25], [34]. While when the initial and final positions are same, some regular geometric shapes, such as diamond and circular trajectories are intuitively employed as benchmark trajectories for performance comparison, see, e.g., [14], [21].…”

Efficient Deployment with Throughput Maximization for UAVs Communication Networks

“…Xie et al [ 56 ] considered UAV-driven two-user interface channels that are used to charge two on-ground IoT devices. The charged devices in turn transmit information to the aerial nodes.…”

Resource and trajectory optimization in UAV-powered wireless communication system

“…The unmanned aerial vehicle (UAV) has been applied in various scenarios owing to its highly flexible features. Owing to the short-distance line-of-sight energy transmission links, UAV communication can improve the energy harvesting efficiency [10][11][12]. Motivated by various applications of UAV in IoT, e.g., information collecting from IoT nodes [13,14], relay forwarding for the IoT network [15] and IoT valueadded services providing [16], the combination of WPT technology and UAV has attracted significant research interest from academia and industry.…”

“…Ref. [11,24] studied two-UAVs and two-GNs wireless powered network to maximize the minimum throughput of GNs with the flight speed and users energy constraints. In [25], a multi-UAV and multi-ground-nodes IoT wireless powered network is studied, in which UAVs serve GNs through time division multiple address.…”