Abstract
This paper investigates a multi-unmanned aerial vehicle (UAV) enabled wireless communication, where a number of ground nodes (GNs) are scheduled to communicate with UAVs in the presence of jammers with imperfect location information. Considering different quality of service (QoS) requirements for a wide range of applications, we aim to improve the minimum throughput, the average throughput, and the delay-constrained minimum throughput of all GNs, respectively, via the joint design of UAVs' trajectories, GNs' scheduling and power allocation. However, the formulated optimization problems are difficult to solve due to the non-convex and combinatorial nature. To overcome this difficulty, we propose two block coordinate descent (BCD) based algorithms to solve them sub-optimally with the aid of slack variables, successive convex approximation (SCA) technique and S-procedure. Numerical results show that our proposed algorithms outperforms the benchmark algorithms and offers a considerable gain in the view of different QoS requirements, giving a certain practical significance.
Highlights
With the advantages such as wide coverage, on-demand deployment and line-of-sight (LoS) channels, unmanned aerial vehicles (UAVs) have attracted increasing attention in numerous applications such as remote surveillance, photography, agricultural irrigation, traffic control, cargo transportation and telecommunications, etc [1]–[3]
To support the various usages of UAV, wireless communication is of great significance
Which is a standard linear programming (LP) problem that can be solved via CVX [36]
Summary
With the advantages such as wide coverage, on-demand deployment and line-of-sight (LoS) channels, unmanned aerial vehicles (UAVs) have attracted increasing attention in numerous applications such as remote surveillance, photography, agricultural irrigation, traffic control, cargo transportation and telecommunications, etc [1]–[3]. Y. Wu et al.: Robust Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks power allocation optimization. To the best of our knowledge, the robust anti-jamming trajectory and communication design in multi-UAV enabled communication concerning different QoS requirements is still an open problem, which motivates this work. We formulate a general optimization framework for the multi-UAV enabled communication in the presence of jammers with imperfect location information, which considers UAVs’ trajectories, jammers’ uncertain location region, the GNs’ scheduling and transmit power allocation. The remainder of the paper is organized as follows: Section II introduces the system model for the multi-UAV enabled communication system in the presence of multiple jammers
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