RIS‐assisted secure UAV communications with resource allocation and cooperative jamming

Abstract

Unmanned aerial vehicles (UAVs) are widely used in wireless communication networks due to their rapid deployment and high mobility. However, in practical scenarios, the existence of obstacles and eavesdroppers will seriously interfere with the communication quality of the UAV network and produce a security risk. Thus, this paper combines reconfigurable intelligent surface (RIS) technology with UAVs to build a secure UAV communication network. Normally, a rotary-wing UAV (labeled as UAV-S) acting as a base station sends information signals to a legitimate user on the ground with RIS equipment. However, there is a passive eavesdropper on the ground who can steal the information. Therefore, a friendly UAV jammer (labeled as UAV-J) with a fixed location is introduced to send jamming signals to confuse the eavesdropper. The goal of this paper is to maximize the average secrecy rate of the communication network by jointly optimizing the flight trajectory, transmit power of the UAV-S and UAV-J, and phase shifter of the RIS. Since the constructed problem is highly nonconvex, an alternating optimization algorithm based on successive convex approximation techniques is proposed to solve the problem. Simulation results show that the proposed algorithm can achieve a higher secrecy rate in comparison with other schemes.

Energy efficiency of full‐duplex communication system assisted by reconfigurable intelligent surface

“…The limited deployment cost and signal enhancement were simultaneously considered in the network planning problem at the same time. In [18], Guo et al combined RIS technology with unmanned aerial vehicles (UAVs) to build a secure UAV communication network. Average secrecy rate of the communication network was maximised by jointly optimising the flight trajectory, transmit power of the rotary-wing UAV and friendly UAV jammer, and phase shifter of the RIS.…”

“…The limited deployment cost and signal enhancement were simultaneously considered in the network planning problem at the same time. In [18], Guo et al. combined RIS technology with unmanned aerial vehicles (UAVs) to build a secure UAV communication network.…”

Joint mission planning and spectrum resources optimization for multi‐UAV reconnaissance

“…The literature [13] investigated the resource optimization problem of UAV sensing data transmission to mobile devices and studied the energy utility maximization problem by jointly optimizing the trajectory, velocity, and transmit power of the UAV in the system. In the latest research, by combining Reconfigurable Intelligent Surface (RIS) technology with UAVs, a secure UAV communication network can be constructed for relay transmission [14].…”

Maximizing the energy efficiency in intelligent reflecting surface‐aided unmanned aerial vehicle data collection system in presence of malicious jammers

“…Benefiting from the above superiority, IRS has been studied under various wireless system setups. [20][21][22][23][24][25] In particular, extensive research efforts have been devoted to employing IRS for improving the transmission rate of UAV communications and/or safeguarding them from security threats. It showed that by joint design of the UAV trajectory and IRS passive beamforming, the average achievable rate of the system can be significantly improved.…”

“…The main advantage of IRS‐assisted wireless communications lies in that it considerably increases the channel capacity with low power consumption and can be flexibly deployed in the radio environment. Benefiting from the above superiority, IRS has been studied under various wireless system setups 20‐25 . In particular, extensive research efforts have been devoted to employing IRS for improving the transmission rate of UAV communications and/or safeguarding them from security threats.…”