UAV Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 1586

Special Issue Editor

Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: unmanned aircraft systems; flight dynamics and control; aerial robotics

Special Issue Information

Dear Colleagues,

With the recent development in multiple/swarm unmanned aerial vehicles (UAV) and beyond-line-of-sight (BLOS) UAV systems, the communication between UAVs and ground control stations isof critical importance. The currently available communication modules are restricted by the short communication range, low bandwidth, high delay, and the number of supported nodes. At the same time, the recent progress in wireless ad hoc networks, mmWave communications, 5G networks, and data-driven design methods provides new insight into UAV communications. The new communication methods may also lead to more types of UAV applications. This Special Issue aims to provide a collection of state-of-the-art UAV communication and networking methods, including, but not limited to, the following keywords:

  • multiple-UAV communications;
  • adaptive communication network;
  • wireless ad hoc networks;
  • 5G-supported UAV communications;
  • UAV-to-X communications;
  • communication for robot swarm;
  • data-driven design method;
  • high-definition video transmission;
  • routing and scheduling;
  • antenna design.

Dr. Boyang Li
Guest Editor

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Keywords

  • multiple-UAV communications
  • adaptive communication network
  • wireless ad hoc networks
  • 5G-supported UAV communications
  • UAV-to-X communications
  • communication for robot swarm
  • data-driven design method
  • high-definition video transmission
  • routing and scheduling
  • antenna design

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Published Papers (1 paper)

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Research

14 pages, 2960 KiB  
Article
Reinforcement Learning Based Dual-UAV Trajectory Optimization for Secure Communication
by Zhouyi Qian, Zhixiang Deng, Changchun Cai and Haochen Li
Electronics 2023, 12(9), 2008; https://doi.org/10.3390/electronics12092008 - 26 Apr 2023
Cited by 2 | Viewed by 1271
Abstract
Unmanned aerial vehicles (UAV) can serve as aerial base stations for users due to their flexibility, low cost, and other characteristics. However, due to the high flight position of UAVs, the air-to-ground (ATG) channels usually dominate with line-of-sight (LoS), which can be easily [...] Read more.
Unmanned aerial vehicles (UAV) can serve as aerial base stations for users due to their flexibility, low cost, and other characteristics. However, due to the high flight position of UAVs, the air-to-ground (ATG) channels usually dominate with line-of-sight (LoS), which can be easily eavesdropped by multiple eavesdroppers. This poses a challenge to secure communication between UAVs and ground users. In this paper, we study a UAV-aided secure communication in an urban scenario where a legitimate UAV Alice transmits confidential information to a legitimate user Bob on the ground in the presence of several eavesdroppers around it and a UAV Jammer sends artificial noise to interfere with the eavesdroppers. We aim to maximize the physical layer secrecy rates in the system by jointly optimizing the trajectories of UAVs and their transmitting power. Considering the time-varying characteristics of channels, this problem is modeled as a Markov decision process (MDP). An improved algorithm based on double-DQN is proposed in the paper to solve this MDP problem. Simulation results show that the proposed algorithm can converge quickly under different environments, and the UAV transmitter and UAV jammers can find the optimal location correctly to maximize the information secrecy rate. It also shows that the double-DQN (DDQN) based algorithm works better than the Q-learning and deep Q-learning network (DQN). Full article
(This article belongs to the Special Issue UAV Communications)
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