IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation

IF 8.9 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Wireless Communications Pub Date : 2024-11-19 DOI:10.1109/twc.2024.3495720
Lingyi Wang, Wei Wu, Fuhui Zhou, Zhijin Qin, Qihui Wu
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IRS 增强型安全语义通信网络:跨层和上下文感知资源分配
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来源期刊
CiteScore
18.60
自引率
10.60%
发文量
708
审稿时长
5.6 months
期刊介绍: The IEEE Transactions on Wireless Communications is a prestigious publication that showcases cutting-edge advancements in wireless communications. It welcomes both theoretical and practical contributions in various areas. The scope of the Transactions encompasses a wide range of topics, including modulation and coding, detection and estimation, propagation and channel characterization, and diversity techniques. The journal also emphasizes the physical and link layer communication aspects of network architectures and protocols. The journal is open to papers on specific topics or non-traditional topics related to specific application areas. This includes simulation tools and methodologies, orthogonal frequency division multiplexing, MIMO systems, and wireless over optical technologies. Overall, the IEEE Transactions on Wireless Communications serves as a platform for high-quality manuscripts that push the boundaries of wireless communications and contribute to advancements in the field.
期刊最新文献
VSLM: Virtual Signal Large Model for Few-Shot Wideband Signal Detection and Recognition Active Sensing for Multiuser Beam Tracking with Reconfigurable Intelligent Surface Resource Allocation and Deep Learning-Based Joint Detection Scheme in Satellite NOMA Systems Enhancing Physical Layer Authentication in Mobile WiFi Environments Using Sliding Window and Deep Learning IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation
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