IEEE 无线通信杂志处理所有媒体中与个性化、与位置无关的通信相关的所有技术和政策问题。论文重点介绍了诸如便携式电话、通信掌上电脑、协议、消息传递、通信和个性化流量过滤等主题。它还涵盖了频谱分配、产业结构和技术演进等政策问题。

The IEEE Wireless Communications magazine addresses all technical and policy issues related to personalized and location-independent communication across all media. The papers focus on topics such as portable phones, communication PDAs, protocols, messaging, communication, and personalized traffic filtering. It also covers policy issues related to spectrum allocation, industry structure, and technological evolution.

《IEEE Wireless Communications》杂志涵盖了与个性化和位置无关的通信技术及政策问题。文章重点讨论便携式电话、通信掌上电脑、协议、消息传递、通信和个性化流量过滤等主题。此外，杂志还涉及频谱分配、产业结构和技术演进等政策问题。

IEEE Wireless Communications

Jiahui Hu

Dan Wang

Zhibo Wang

Xiaoyi Pang

Huiyu Xu

Ju Ren

Kui Ren

Federated Large Language Model: Solutions, Challenges and Future Directions

联邦大语言模型：解决方案、挑战与未来方向

This article focuses on the development of integrated sensing and communications (ISAC) from a multiple access (MA) perspective, where the idea of non-orthogonal multiple access (NOMA) is exploited for harmoniously accommodating the sensing and communication functionalities. We first reveal that the developing trend of ISAC is from \emph{orthogonality} to \emph{non-orthogonality}, and introduce the fundamental models of the downlink and uplink ISAC while identifying the design challenges from the MA perspective. (1) For the downlink ISAC, we propose two novel designs, namely \emph{NOMA-empowered} downlink ISAC and \emph{NOMA-inspired} downlink ISAC to effectively coordinate the inter-user interference and the sensing-to-communication interference, respectively. (2) For the uplink ISAC, we first propose a \emph{pure-NOMA-based} uplink ISAC design, where a fixed communication-to-sensing successive interference cancellation order is employed for distinguishing the mixed sensing-communication signal received over the fully shared radio resources. Then, we propose a general \emph{semi-NOMA-based} uplink ISAC design, which includes the conventional orthogonal multiple access-based and pure-NOMA-based uplink ISAC as special cases, thus being capable of providing flexible resource allocation strategies between sensing and communication. Along each proposed NOMA-ISAC design, numerical results are provided for showing the superiority over conventional ISAC designs.

Xidong Mu

Zhaolin Wang

Yuanwei Liu

IEEE Wireless Commun.

NOMA for Integrating Sensing and Communications Toward 6G: A Multiple Access Perspective

面向6G的感知与通信融合的NOMA技术：多址接入视角

Semantic communication has become a widely researched area due to its high spectrum efficiency and error correction capabilities. Some studies used deep learning to extract semantic features, typically resulting in end-to-end semantic communication systems that are difficult to adapt to varying wireless environments. Therefore, new semantic-based coding methods and performance metrics were investigated. Designed semantic systems incorporate various modules similar to those for traditional communication but with enhanced functionality. This study discusses recent advancements in state-of-the-art semantic communication, utilizing conventional modules in wireless systems. Moreover, through two examples, this study shows that traditional hybrid automatic repeat request and modulation methods can be re-purposed for novel semantic coding and metrics to further improve the performance of wireless semantic communication. Lastly, this study identifies some open research questions.

Peiwen Jiang

Chao-Kai Wen

Shi Jin

Geoffrey Ye Li

Wireless Semantic Transmission via Revising Modules in Conventional Communications

通过修订模块实现传统通信中的无线语义传输

Cell-free (CF) massive multiple-input multiple- output (MIMO) systems, which exploit many geographically distributed access points to coherently serve user equipment via spatial multiplexing on the same time-frequency resource, has become a vital component of the next-generation mobile communication networks. Theoretically, CF massive MIMO systems have many advantages, such as large capacity, great coverage, and high reliability, but several practical obstacles must be overcome. In this article, we study the paradigm of CF massive MIMO-aided mobile communications, including the main deployment architectures and associated application scenarios. Furthermore, we thoroughly investigate the challenges of mobile CF massive MIMO communications. We then exploit a novel predictor antenna, hierarchical cancellation, rate-splitting and dynamic clustering system for mobile CF massive MIMO. Finally, several important research directions regarding mobile CF massive MIMO communications are presented to facilitate further investigation.

Jiakang Zheng

Jiayi Zhang

Hongyang Du

Dusit Niyato

Bo Ai

Mérouane Debbah

Khaled B. Letaief

Mobile Cell-Free Massive MIMO: Challenges, Solutions, and Future Directions

移动分布式大规模MIMO：挑战、解决方案与未来发展方向

With the deployment of the fifth generation (5G) in many countries, people start to think about what the next-generation of wireless communications will be. The current communication technologies are already approaching the Shannon physical capacity limit with advanced encoding (decoding) and modulation techniques. On the other hand, artificial intelligence (AI) plays an increasingly important role in the evolution from traditional communication technologies to the future. Semantic communication is one of the emerging communication paradigms, which works based on its innovative “semantic-meaning passing” concept. The core of semantic communication is to extract the “meanings” of sent information at a transmitter, and with the help of a matched knowledge base (KB) between a transmitter and a receiver, the semantic information can be “interpreted” successfully at a receiver. Therefore, semantic communication essentially is a communication scheme based largely on AI. In this article, an overview of the latest deep learning (DL) and end-to-end (E2E) communication based semantic communications will be given and open issues that need to be tackled will be discussed explicitly.

Xuewen Luo

Hsiao-Hwa Chen

Qing Guo

Semantic Communications: Overview, Open Issues, and Future Research Directions

语义通信：概述、开放问题及未来研究方向

Spiking neural networks (SNNs) implemented on neuromorphic processors (NPs) can enhance the energy efficiency of deployments of artificial intelligence (AI) for specific workloads. As such, NPs represent an interesting opportunity for implementing AI tasks power-limited onboard satellite communication spacecraft. In this article, we disseminate the findings of a recently completed study which targeted the comparison, in terms of performance and power-consumption, of different satellite communication use cases implemented on standard AI accelerators and on NPs. In particular, the article describes three prominent use cases, namely payload resource optimization, onboard interference detection and classification, and dynamic receive beamforming; and compares the performance of conventional convolutional neural networks (CNNs) implemented on Xilinx's VCK5000 Versal development card, and SNNs on Intel's neuromorphic chip Loihi 2.

Eva Lagunas

Flor G. Ortiz

Geoffrey Eappen

Saed Daoud

Wallace A. Martins

Jorge Querol

Symeon Chatzinotas

Nicolas Skatchkovsky

Bipin Rajendran

Osvaldo Simeone

Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications

用于机载卫星通信应用的神经形态硬件性能评估

Nirwan Ansari

A Potpourri on Wireless Advances: Part 4

无线技术进展杂谈：第4部分

Hong Ki Kim

Yong Hun Jang

Hee Soo Kim

Won Young Kang

Young-Chai Ko

Sang Hyun Lee

Wireless Interconnection Network for Post-Exascale High-Performance Computing

后exascale高性能计算的无线互连网络

Monisha Ghosh

Continuing Innovations in the CBRS Shared Spectrum Band

CBRS共享频谱带中的持续创新

Ming Zeng

Wanming Hao

Zhangjie Peng

Zheng Chu

Xingwang Li

Changsheng You

Cunhua Pan

Resource Allocation for Ris-Empowered Wireless Communications: Low-Complexity and Robust Designs

基于RIS增强的无线通信资源分配：低复杂度和鲁棒设计

Abbreviation	IEEE Wireless Commun.
Journal Impact	10.99
Quartiles(Global)	TELECOMMUNICATIONS(Q1)

ISSN	1536-1284, 1558-0687
h-index	188
Top Journals	Yes

Publication Information	Publisher: Institute of Electrical and Electronics Engineers Inc.，Publishing cycle: Bimonthly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2002，Proportion of original research papers: 100.00%，Self Citation Rate:0.90%， Gold OA Rate: 0.00%
Average review cycle	网友分享经验：较慢,6-12周
Average recruitment ratio	网友分享经验：较难

IEEE Wireless Communications

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