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Trajectory Design for UAV-Enabled Maritime Secure Communications:A Reinforcement Learning Approach

China Communications 2022年第9期19卷 26-36页

作者： Jintao Liu Feng Zeng Wei Wang Zhichao Sheng Xinchen Wei kanapathippillai cumanan School of Information Science and Technology Nantong UniversityNantong 226019China Nantong Research Institute for Advanced Communication Technologies Nantong 226019China Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai UniversityShanghai 200444China Department of Electronic Engineering University of YorkYorkYO105DDUnited Kingdom

This paper investigates an unmanned aerial vehicle(UAV)-enabled maritime secure communication network,where the UAV aims to provide the communication service to a legitimate mobile vessel in the presence of multiple eavesdroppers.In this maritime communication networks(MCNs),it is challenging for the UAV to determine its trajectory on the ocean,since it cannot land or replenish energy on the sea surface,the trajectory should be pre-designed before the UAV takes off.Furthermore,the take-off location of the UAV and the sea lane of the vessel may be random,which leads to a highly dynamic environment.To address these issues,we propose two reinforcement learning schemes,Q-learning and deep deterministic policy gradient(DDPG)algorithms,to solve the discrete and continuous UAV trajectory design problem,respectively.Simulation results are provided to validate the effectiveness and superior performance of the proposed reinforcement learning schemes versus the existing schemes in the literature.Additionally,the proposed DDPG algorithm converges faster and achieves higher utilities for the UAV,compared to the Q-learning algorithm.

关键词： maritime communication networks(MCNs) unmanned aerial vehicles(UAV) reinforcement learning physical layer security trajectory design

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Network coding with diversity and outdated channel state information

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Journal of Modern Transportation 2012年第4期20卷 261-267页

作者： Tong CHEN kanapathippillai cumanan Zhiguo DING Guiyun TIAN School of Electrical & Electronic Engineering Newcastle University

Physical-layer network coding （PNC） has the potential to significantly improve the throughput of wireless networks where the channels can be modeled as additive white Gaussian noise （AWGN） channel. As extending to mul- tiple channels, this technique requires both amplitude and phase compensation at each transmitter and will lead to inef- ficient systems yielding no diversity even with perfect channel state information （CSI）. In order to avoid these limita- tions, we apply network coding with diversity （NCD） to achieve a form of selection diversity and extend NCD to coop- erative multiple access channels in this paper. However, in practical wireless communication systems, the CSI could become outdated due to the difference between the CSI used in the relay selection and data transmission phases. Hence, the selected relay may not be the best one during data transmission phase due to the dynamic change in the wireless channels. Therefore, we first explore the relation between the present and past CSIs. Exploiting this relationship, the NCD scheme with outdated CSI is investigated based on the past CSI. To evaluate the performance of this scheme, an information-theoretic metric, namely the outage capacity, is studied under this condition.

关键词： network coding with diversity （NCD） cooperative multiple access channels channel state information （CSI）

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NOMA-Based UAV-Aided Networks for Emergency Communications

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China Communications 2020年第11期17卷 54-66页

作者： Wanmei Feng Jie Tang Nan Zhao Yuli Fu Xiuyin Zhang kanapathippillai cumanan Kai-Kit Wong South China University of Technology Guangzhou 510000China Dalian University of Technology Dalian 116000China University of York York YO105DDU.K University College London London WC1E 6BTU.K

High spectrum efficiency(SE)requirement and massive connections are the main challenges for the fifth generation(5G)and beyond 5G(B5G)wireless networks,especially for the case when Internet of Things(IoT)devices are located in a disaster area.Non-orthogonal multiple access(NOMA)-based unmanned aerial vehicle(UAV)-aided network is emerging as a promising technique to overcome the above challenges.In this paper,an emergency communications framework of NOMA-based UAV-aided networks is established,where the disasters scenarios can be divided into three broad categories that have named emergency areas,wide areas and dense areas.First,a UAV-enabled uplink NOMA system is established to gather information from IoT devices in emergency areas.Then,a joint UAV deployment and resource allocation scheme for a multi-UAV enabled NOMA system is developed to extend the UAV coverage for IoT devices in wide areas.Furthermore,a UAV equipped with an antenna array has been considered to provide wireless service for multiple devices that are densely distributed in disaster areas.Simulation results are provided to validate the effectiveness of the above three schemes.Finally,potential research directions and challenges are also highlighted and discussed.

关键词： emergency communications non-orthogonal multiple access(NOMA) Internet of Things(IoT) trajectory optimization unmanned aerial vehicle(UAV)

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