Optimization of trusted wireless sensing models based on deep reinforcement learning for ISAC systems

IF 0.7 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Hao Zhang, Yi Jing, Wenhui Xu, Ronghui Zhang
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引用次数: 0

Abstract

This paper investigates using deep reinforcement learning (DRL) methods for optimizing trustworthy federated learning models, with a focus on integrated sensing and communication in practical wireless sensing scenarios. Challenges include computational disparities among edge sensing nodes, network transmission differences, and the non-independent and identically distributed (non-IID) nature of local training datasets. As the number of edge sensing nodes increases, the likelihood of encountering untrusted nodes also rises, further limiting the performance of traditional federated learning aggregation algorithms. To address these issues, the paper proposes a DRL-based strategy aimed at optimizing the node selection process in federated learning environments. This strategy intelligently selects nodes for global aggregation, improving overall model performance and efficiency by addressing computational and communication differences among nodes and the non-IID nature of data.

Abstract Image

基于深度强化学习的ISAC系统可信无线传感模型优化
本文研究了使用深度强化学习(DRL)方法来优化可信联邦学习模型,重点研究了实际无线传感场景中的集成传感和通信。挑战包括边缘感知节点之间的计算差异、网络传输差异以及局部训练数据集的非独立和同分布(non-IID)性质。随着边缘感知节点数量的增加,遇到不可信节点的可能性也会增加,这进一步限制了传统联邦学习聚合算法的性能。为了解决这些问题,本文提出了一种基于drl的策略,旨在优化联邦学习环境中的节点选择过程。该策略智能地选择节点进行全局聚合,通过解决节点之间的计算和通信差异以及数据的非iid性质来提高整体模型性能和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Electronics Letters
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
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