Abstract
Unlike aerial base station enabled by a single unmanned aerial vehicle (UAV), aerial coordinated multiple points (CoMP) can be enabled by a UAV swarm. In this case, the management of multiple UAVs is important. This paper considers the power allocation strategy for a UAV swarm-enabled aerial network to enhance the physical layer security of the downlink transmission, where an eavesdropper moves following the trajectory of the swarm for better eavesdropping. Unlike existing works, we use only the large-scale channel state information (CSI) and maximize the secrecy throughput in a whole-trajectory-oriented manner. The overall transmission energy constraint on each UAV and the total transmission duration for all the legitimate users are considered. The non-convexity of the formulated problem is solved by using max-min optimization with iteration. Both the transmission power of desired signals and artificial noise (AN) are derived iteratively. Simulation results are presented to validate the effectiveness of our proposed power allocation algorithm and to show the advantage of aerial CoMP by using only the large-scale CSI.
Highlights
In recent years, unmanned aerial vehicles (UAVs) have attracted great interest in wireless communications [1]–[4]
Motivated by the above observations, we investigate the artificial noise (AN)-aided secure transmission for the UAV swarm-enabled aerial coordinated multiple points (CoMP), where both of the legitimate receivers and eavesdroppers are equipped with multiple antennas
The multiple single-antenna rotary-wing UAVs, forming a UAV swarm, hover above the scheduled legitimate receiver to provide the confidential messages during a transmission duration
Summary
In recent years, unmanned aerial vehicles (UAVs) have attracted great interest in wireless communications [1]–[4]. Due to their mobility and elevated position, they can provide agile communications [5]. With their high maneuverability, UAV can augment the network capacity and coverage, especially in the extreme environments without infrastructure, such as disaster rescue, traffic monitoring and so on [1], [6]. UAVs are usually cost-effective [7]–[10]. They can be exploited to assist on-demand missions, such as high-speed data transmission in the fifth generation (5G) wireless networks. With the huge demand in emergency applications, i.e., public safety, delivery and surveillance, deploying a flock of UAVs, or swarm, is becoming more attractive, which plays a vital role in meeting performance requirements for communications between multiple UAVs and 5G [11]–[15]
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