基于深度强化学习的无人机群波束自调整算法

IF 0.8 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Electronics Letters Pub Date : 2025-09-08 DOI:10.1049/ell2.70420

Yibo Wang, Ruolin Yu, Xinyao Huang, Yuan Qi, Rongrong Qian

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引用次数: 0

摘要

本文提出了一种基于深度强化学习的波束自调整算法（BSA），用于具有定向天线的无人机（UAV）群中的窄波束传输。该算法通过学习无人机的运动特性，使无人机能够适应自身的发射波束方向、波束弧长和信号功率。仿真结果表明，BSA算法在减小波束弧长的同时实现了完全波束覆盖，从而提高了通信可靠性和能效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Beam Self-Adjusting Algorithm for UAV Swarms Using Deep Reinforcement Learning

查看原文本刊更多论文

Beam Self-Adjusting Algorithm for UAV Swarms Using Deep Reinforcement Learning

This letter proposes a beam self-adjusting algorithm (BSA) based on deep reinforcement learning, for narrow-beam transmissions in unmanned aerial vehicle (UAV) swarms with directional antennas. The proposed BSA algorithm enables UAVs to adapt their transmitted beam direction, beam arc length, and signal power through learning motion characteristics of UAVs. Simulation results show that the BSA algorithm achieves complete beam coverage while reducing beam arc length, thereby improving both communication reliability and energy efficiency.

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来源期刊

Electronics Letters 工程技术-工程：电子与电气

CiteScore

2.70

自引率

0.00%

发文量

268

审稿时长

3.6 months

期刊介绍： Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews. Scope As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below. Antennas and Propagation Biomedical and Bioinspired Technologies, Signal Processing and Applications Control Engineering Electromagnetism: Theory, Materials and Devices Electronic Circuits and Systems Image, Video and Vision Processing and Applications Information, Computing and Communications Instrumentation and Measurement Microwave Technology Optical Communications Photonics and Opto-Electronics Power Electronics, Energy and Sustainability Radar, Sonar and Navigation Semiconductor Technology Signal Processing MIMO