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IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-28 DOI: 10.1109/JPROC.2024.3444513
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引用次数: 0
Future Special Issues/Special Sections of the Proceedings 论文集》未来的特刊/专栏
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-28 DOI: 10.1109/JPROC.2024.3444511
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引用次数: 0
IEEE Connects You to a Universe of Information IEEE 将您与信息世界连接起来
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-28 DOI: 10.1109/JPROC.2024.3445519
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引用次数: 0
Scanning the Issue 扫描问题
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-28 DOI: 10.1109/JPROC.2024.3444548
Summary form only: Abstracts of articles presented in this issue of the publication.
仅为摘要形式:在本期刊物上发表的文章摘要。
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引用次数: 0
In-Band Full Duplex 带内全双工
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-20 DOI: 10.1109/JPROC.2024.3434189
Ashutosh Sabharwal;Besma Smida
The global wireless industry works like clockwork. Every decade, the global community ratifies a new generation of cellular standards relying on advances from the past decades; a similar rhythm drives Wi-Fi standardization. In all standards, cellular and Wi-Fi, a core design principle is that wireless nodescan either transmit or receive in a given frequency band. However, a node cannot simultaneously transmit and receive in the same frequency band due to high self-interference from its own transmitted signal that can drown out the receive signal. As a result, to enable bidirectional communications between nodes, network designs have relied on partitioning time and frequency using a mix of time-division duplex and frequency-division duplex. In short, wireless designs have not considered in-band full duplex (IBFD) as a building block.
全球无线行业就像时钟一样运转。每隔十年,全球社会都会根据过去几十年的进步批准新一代蜂窝标准;类似的节奏也推动着 Wi-Fi 标准化。无论是蜂窝还是 Wi-Fi,所有标准的核心设计原则都是无线节点可以在特定频段内发射或接收信号。但是,由于自身发射信号的自干扰很强,会淹没接收信号,因此节点不能在同一频段同时发射和接收信号。因此,为了实现节点之间的双向通信,网络设计一直依赖于使用时分双工和频分双工混合来划分时间和频率。简而言之,无线设计没有考虑将带内全双工(IBFD)作为构建模块。
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引用次数: 0
Proceedings of the IEEE: Stay Informed. Become Inspired 电气和电子工程师学会论文集》:保持信息灵通。激发灵感
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-20 DOI: 10.1109/JPROC.2024.3434202
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引用次数: 0
Future Special Issues/Special Sections of the Proceedings 论文集》未来的特刊/专栏
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-20 DOI: 10.1109/JPROC.2024.3434198
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引用次数: 0
IEEE Connects You to a Universe of Information IEEE 将您与信息世界连接起来
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-20 DOI: 10.1109/JPROC.2024.3439969
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引用次数: 0
IEEE Membership IEEE 会员
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-20 DOI: 10.1109/JPROC.2024.3434200
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引用次数: 0
AI Empowered Wireless Communications: From Bits to Semantics 人工智能赋能无线通信:从比特到语义
IF 23.2 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-20 DOI: 10.1109/JPROC.2024.3437730
Zhijin Qin;Le Liang;Zijing Wang;Shi Jin;Xiaoming Tao;Wen Tong;Geoffrey Ye Li
Artificial intelligence (AI) and machine learning (ML) have shown tremendous potential in reshaping the landscape of wireless communications and are, therefore, widely expected to be an indispensable part of the next-generation wireless network. This article presents an overview of how AI/ML and wireless communications interact synergistically to improve system performance and provides useful tips and tricks on realizing such performance gains when training AI/ML models. In particular, we discuss in detail the use of AI/ML to revolutionize key physical layer and lower medium access control (MAC) layer functionalities in traditional wireless communication systems. In addition, we provide a comprehensive overview of the AI/ML-enabled semantic communication systems, including key techniques from data generation to transmission. We also investigate the role of AI/ML as an optimization tool to facilitate the design of efficient resource allocation algorithms in wireless communication networks at both bit and semantic levels. Finally, we analyze major challenges and roadblocks in applying AI/ML in practical wireless system design and share our thoughts and insights on potential solutions.
人工智能(AI)和机器学习(ML)在重塑无线通信格局方面展现出巨大的潜力,因此被广泛认为是下一代无线网络不可或缺的一部分。本文概述了人工智能/ML 与无线通信如何协同互动以提高系统性能,并提供了在训练人工智能/ML 模型时实现性能提升的有用技巧和窍门。特别是,我们详细讨论了如何利用人工智能/ML 彻底改变传统无线通信系统中的关键物理层和较低的介质访问控制 (MAC) 层功能。此外,我们还全面概述了人工智能/ML 支持的语义通信系统,包括从数据生成到传输的关键技术。我们还研究了人工智能/移动语言作为优化工具在比特和语义层面上促进无线通信网络中高效资源分配算法设计的作用。最后,我们分析了在实际无线系统设计中应用人工智能/移动语言的主要挑战和障碍,并分享了我们对潜在解决方案的想法和见解。
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引用次数: 0
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