Deep Reinforcement Learning Based Resource Allocation and Trajectory Planning in Integrated Sensing and Communications UAV Network-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Based Resource Allocation and Trajectory Planning in Integrated Sensing and Communications UAV Network

Published:2023-11 Issue:11 Volume:22 Page:8158-8169
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Qin Yunhui¹^ORCID,Zhang Zhongshan¹^ORCID,Li Xulong²^ORCID,Huangfu Wei²^ORCID,Zhang Haijun²^ORCID

Affiliation:

1. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

2. Beijing Advanced Innovation Center for Materials Genome Engineering and the Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

China University Industry-University-Research Collaborative Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10314841/10086052.pdf?arnumber=10086052

Reference42 articles.

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3. ISAC from the sky: UAV trajectory design for joint communication and target localization;jing;arXiv 2207 02904,2022

4. Proximal Policy Optimization-Based Transmit Beamforming and Phase-Shift Design in an IRS-Aided ISAC System for the THz Band

5. Joint maneuver and beamforming design for UAV-enabled integrated sensing and communication;lyu;IEEE Trans Wireless Commun,2022

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