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Challenges and Machine Learning Solutions for Optical Communications in Space-Air- Ground Integrated Networks for 6G IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Masayuki Ariyoshi, Junichi Funada, Emmanuel Le Taillandier de Gabory, Shigeru Asai, Tiago Koketsu Rodrigues, Yuichi Kawamoto, Nei Kato
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Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Shuguang Cui, Xuemin Sherman Shen, Ping Zhang
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DISCO Might Not Be Funky: Random Intelligent Reflective Surface Configurations That Attack IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Huan Huang, Lipeng Dai, Hongliang Zhang, Chongfu Zhang, Zhongxing Tian, Yi Cai, A. Lee Swindlehurst, Zhu Han
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Resource Allocation for Near-Field Communications: Fundamentals, Tools, and Outlooks IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Bokai Xu, Jiayi Zhang, Hongyang Du, Zhe Wang, Yuanwei Liu, Dusit Niyato, Bo Ai, Khaled B. Letaief
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Role of Sensing and Computer Vision in 6G Wireless Communications IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Seungnyun Kim, Jihoon Moon, Jinhong Kim, Yongjun Ahn, Donghoon Kim, Sunwoo Kim, Kyuhong Shim, Byonghyo Shim
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Mobilizing the Terahertz Beam: D-Band Analog-Beamforming Front-End Prototyping and Long-Range 6G Trials IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Ramez Askar, Jaehoon Chung, Laurenz John, Thomas Merkle, Sven Wittig, Mathis Schmieder, Yonghak Suh, Jongpil Lee, Benjamin Baumann, Michael Peter, Thomas Haustein, Wilhelm Keusgen, Slawomir Stanczak
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Simultaneous Wireless Information and Power Transfer in IoT-based Scenarios: Architectures, Challenges, and Prototype Validation IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Ruoyan Ma, Jie Tang, Xiu Yin Zhang, Wanmei Feng, Daniel Ka Chun So, Chan-Byoung Chae, Kai-Kit Wong, Jonathon A. Chambers
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Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Ethan Zhu, Haijian Sun, Mingyue Ji
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AI-Empowered Fluid Antenna Systems: Opportunities, Challenges, and Future Directions IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-15 Chao Wang, Zan Li, Kai-Kit Wong, Ross Murch, Chan-Byoung Chae, Shi Jin
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Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Zirui Chen, Zhaoyang Zhang, Zhaohui Yang
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Empowering 6G Ambient Intelligence with Terahertz Integrated Sensing and Communications IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Ronghui Zhang, Yuan He, Lufeng Yuan, Ziyue Li, Chendi He, Fangqing Tan
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A Two-Dimensional Hybrid Federated Learning Framework for Secure Data Cooperation of Multiple Network Service Providers IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Huali Lu, Wenxiong Chen, Conghao Zhou, Huaqing Wu, Feng Lyu, Xuemin Sherman Shen
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A Lightweight Blockchain Architecture with Smart Collaborative and Progressive Evolution for Privacy-Preserving 6G IoT IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Daoqi Han, Yang Liu, Ruohan Cao, Hui Gao, Yueming Lu
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Bridging the Complexity Gap in Tb/S-Achieving THz-Band Baseband Processing IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Hadi Sarieddeen, Hakim Jemaa, Simon Tarboush, Christoph Studer, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
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AI-Based Physical Layer Key Generation in Wireless Communications: Current Advances, Open Challenges, and Future Directions IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Jiajun Li, Yishan Yang, Zheng Yan
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Self-Tallying Voting with Blockchain in Wireless Network Environment IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Lianhai Wang, Huilin Li, Yannan Li, Yong Yu, Xiaojiang Du
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Toward Goal-Oriented Semantic Communications: New Metrics, Framework, and Open Challenges IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Aimin Li, Shaohua Wu, Siqi Meng, Rongxing Lu, Sumei Sun, Qinyu Zhang
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Ensuring Bidirectional Privacy on Wireless Split Inference Systems IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Chia-Che Sa, Li-Chen Cheng, Hsing-Huan Chung, Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang, Shang-Tse Chen
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AI Embodiment Through 6G: Shaping the Future of AGI IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Lina Bariah, Merouane Debbah
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Generative AI for Secure and Privacy-Preserving Mobile Crowdsensing IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-07-01 Yaoqi Yang, Bangning Zhang, Daoxing Guo, Hongyang Du, Zehui Xiong, Dusit Niyato, Zhu Han
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Metasource-Based Secret Key: Physical Layer Security Guarantee for Future Wireless Networks IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-24 Yuli Yang, Mohsen Guizani
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A Potpourri on Wireless Advances IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Nirwan Ansari
Maintaining the quality of a magazine while balancing the introduction of new editors and the retirement of existing ones requires careful planning because editors are our critical resource. So, I would like to celebrate the contributions of Xiuzhen Cheng, Wen-Long Chin, Rose Hu, and Phone Lin, who have faithfully served and completed their terms as Technical Editors of IEEE Wireless Communications
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Spectrum Week 2024: DySPAN, SWIFT, NRDZ, SpectrumX, NSMA, WSRD IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Monisha Ghosh
Spectrum Week was organized by SpectrumX [1] and was held in Washington DC May 13–17, 2024 [2]. As the column title indicates, an alphabet soup of meetings were held with their respective stakeholder communities in attendance, from global attendees participating in the IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) [3], to the workshop on the National Spectrum Strategy (NSS)
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Wireless Communications: From Fundamentals to Beyond 5G, 3rd Edition IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Bo Rong, Rupendra Nath Mitra
This book aims to provide a comprehensive guide for students, researchers, and engineers to master wireless communication technologies. It begins with the basics, covering fundamental principles like digital modulation, spectrum reuse, and fading, before advancing to more complex topics such as multicarrier and multiantenna transmission. The book also delves into the standardized systems that dominate
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Scanning the Literature IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14
Summary form only. Provides an overview and summary of the technical articles and features of interest to readers that appear in select Communications Society publications.
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Guest Editorial: Sustainable Big AI Model for Wireless Networks IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Zhaoyang Zhang, Mérouane Debbah, Yonina C. Eldar, Dinh Thai Hoang, Wen Tong, Kai-Kit Wong
Machine learning is a promising approach to explore the vast amount of wireless data with artificial intelligence (AI) to accomplish a wide variety of large-scale, computation or communication-oriented tasks in next-generation wireless networks, from intelligent computing to environment sensing and intelligent communication. Traditional approaches rely on each individual task having a specific AI model
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Distributed Foundation Models for Multi-Modal Learning in 6G Wireless Networks IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Jun Du, Tianyi Lin, Chunxiao Jiang, Qianqian Yang, C. Faouzi Bader, Zhu Han
Benefiting from the ability to process and integrate data from various modalities, multi-modal foundation models (FMs) facilitate potential applications across a range of fields, including computer vision (CV), natural language processing (NLP), and diverse multi-modal applications such as imagetext retrieval. Currently, FMs are deployed on computing clusters for training and inference to meet their
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Det(Com)2: Deterministic Communication and Computation Integration Toward AIGC Services IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-17 Weiting Zhang, Nian Tang, Dong Yang, Ruibin Guo, Hongke Zhang, Xuemin Shen
As an emerging intelligence paradigm, artificial intelligence generated content (AIGC) is envisioned to be a key technique for Internet of intelligence, which inevitably puts forward higher requirements for the network capability from both the forwarding and computing perspectives. This article proposes a novel deterministic communication and computation integration architecture, that is, Dot(Com)
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The Role of Federated Learning in a Wireless World with Foundation Models IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Zihan Chen, Howard H. Yang, Y. C. Tay, Kai Fong Ernest Chong, Tony Q. S. Quek
Foundation models (FMs) are general-purpose artificial intelligence (AI) models that have recently enabled multiple brand-new generative AI applications. The rapid advances in FMs serve as an important contextual backdrop for the vision of next-generation wireless networks, where federated learning (FL) is a key enabler of distributed network intelligence. Currently, the exploration of the interplay
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Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang
Big artificial intelligence (AI) models have emerged as a crucial element in various intelligent applications at the edge, such as voice assistants in smart homes and autonomous robotics in smart factories. Training big AI models – for example, for personalized fine-tuning and continual model refinement – poses significant challenges to edge devices due to the inherent conflict between limited computing
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Device-Edge Cooperative Fine-Tuning of Foundation Models as a 6G Service IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Hai Wu, Xu Chen, Kaibin Huang
Foundation models (FoMos), referring to large-scale AI models, possess human-like capabilities and are able to perform competitively in the domain of human intelligence. The breakthrough in FoMos has inspired researchers to deploy such models in the sixth-generation (6G) mobile networks for automating a broad range of tasks in next-generation mobile applications. While the sizes of FoMos are reaching
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Large AI Model-Based Semantic Communications IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You
Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for various future applications like metaverse, mixed reality, and the Internet of everything. However, in current SC systems, the construction of the knowledge base (KB) faces several issues, including limited knowledge representation, frequent knowledge updates, and insecure knowledge sharing. Fortunately, the development
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Semantic Communications Using Foundation Models: Design Approaches and Open Issues IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Peiwen Jiang, Chao-Kai Wen, Xinping Yi, Xiao Li, Shi Jin, Jun Zhang
Foundation models (FMs), including large language models, have become increasingly popular due to their wide-ranging applicability and ability to understand human-like semantics. While previous research has explored the use of FMs in semantic communications to improve semantic extraction and reconstruction, the impact of these models on different system layers, considering computation and memory complexity
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Integrating Sustainable Big AI: Quantum Anonymous Semantic Broadcast IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Shehbaz Tariq, Uman Khalid, Brian E. Arfeto, Trung Q. Duong, Hyundong Shin
Semantic communication (SC) with native artificial intelligence (AI) is a context-centric framework that intelligently extracts task-specific semantics from source data and efficiently regenerates the intended meaning at the destination. Hence, this computing-intensive methodology enables goal-oriented communication by maintaining a high semantic quality of service with a low requirement for data transfer
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Near-Field Communications: Research Advances, Potential, and Challenges IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Jiancheng An, Chau Yuen, Linglong Dai, Marco Di Renzo, Mérouane Debbah, Lajos Hanzo
To support high throughput and massive connectivity, next-generation mobile networks are expected to utilize extremely large-scale antenna arrays. This would result in wireless communications occurring in the near-field region. Leveraging the unique channel characteristics of near-field propagation presents both opportunities and challenges, hence we critically appraise near-field communications (NFC)
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Near-Field Channel Modeling for Holographic Mimo Communications IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Tierui Gong, Li Wei, Chongwen Huang, George C. Alexandropoulos, Mérouane Debbah, Chau Yuen
Empowered by the latest progress on innovative metamaterials/metasurfaces and advanced antenna technologies, holographic multiple-input multiple-output (H-MIMO) emerges as a promising technology to fulfill the ultimate goals of the sixth-generation (6G) wireless networks. The antenna arrays utilized in H-MIMO comprise massive (possibly to an extreme extent) numbers of antenna elements, densely spaced
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Physical Layer Authentication in Backscatter Communication: A Review IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-17 Yishan Yang, Zheng Yan, Kai Zeng, Pu Wang, Jiajun Li
Backscatter communication (BC) has been introduced as a cutting-edge technology due to low cost and ultra-low-power consumption. However, its openness and broadcast nature bring severe security threats and vulnerabilities to BC systems. Physical layer authentication (PLA) is viewed as a supplement to cryptography-based authentication on backscatter devices (BDs) to provide enhanced security for BC
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Intelligent Network Slicing for B5G and 6G: Resource Allocation, Service Provisioning, and Security IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-06-14 Jiadai Wang, Yuanhao Li, Jiajia Liu, Nei Kato
B5G and 6G are designed to achieve break-throughs in mobile networks, and are expected to have features such as seamless global coverage, full virtualization, and ubiquitous intelligence. These promising features will spawn lots of new verticals and applications, creating an urgent need for on-demand networks. At this point, network slicing has been recognized as an excellent solution to this challenge
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On the Learning of Digital Self-Interference Cancellation in Full-Duplex Radios IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-21 Jungyeon Kim, Hyowon Lee, Heedong Do, Jinseok Choi, Jeonghun Park, Wonjae Shin, Yonina C. Eldar, Namyoon Lee
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Electromagnetic Information Theory: Fundamentals and Applications for 6G Wireless Communication Systems IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-21 Cheng-Xiang Wang, Yue Yang, Jie Huang, Xiqi Gao, Tie Jun Cui, Lajos Hanzo
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Learning from the Best: Active Learning for Wireless Communications IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-21 Nasim Soltani, Jifan Zhang, Batool Salehi, Debashri Roy, Robert Nowak, Kaushik Chowdhury
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UAV-Assisted MEC with an Expandable Computing Resource Pool: Rethinking the UAV Deployment IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-21 Yiqin Deng, Haixia Zhang, Xianhao Chen, Yuguang Fang
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Split Learning in 6G Edge Networks IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-13 Zheng Lin, Guanqiao Qu, Xianhao Chen, Kaibin Huang
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A Digitized You in My Eye: A Perceptually Driven Spatial Communication Prototype for XR IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-13 Xueyu Hou, Yongjie Guan, Tao Han, Pingfan Wu, Ning Lu, Miguel Dajer, Liang Peng
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6G Localization and Sensing in the Near Field: Features, Opportunities, and Challenges IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-13 Hui Chen, Musa Furkan Keskin, Adham Sakhnini, Nicolo Decarli, Sofie Pollin, Davide Dardari, Henk Wymeersch
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IRS-UAV Assisted Secure Integrated Sensing and Communication IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-13 Jinlei Xu, Xianglin Yu, Lexi Xu, Chengwen Xing, Nan Zhao, Xianbin Wang, Dusit Niyato
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Virtual Backhaul Connectivity for Enhanced Coverage in Fiber-Less Areas IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-13 Hao Lin, Mustafa A. Kishk, Mohamed-Slim Alouini
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Adaptive Model Aggregation in Federated Learning Based on Model Accuracy IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-13 Rebekah Wang, Yingying Chen
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Wireless Network Analytics for the New Era of Spectrum Patrolling and Monitoring IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-13 Enrico Testi, Andrea Giorgetti
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5G Perspective of Connected Autonomous Vehicles: Current Landscape and Challenges Toward 6G IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-05-13 Grigorios Kakkavas, Maria Diamanti, Vasileios Karyotis, Kwame Nseboah Nyarko, Matthias Gabriel, Anastasios Zafeiropoulos, Symeon Papavassiliou, Klaus Moessner
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Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-30 Latif U. Khan, Zhu Han, Dusit Niyato, Mohsen Guizani, Choong Seon Hong
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SLA Decomposition for Sustainable End-to-End Multi-Domain Multi-Technology Network Slicing IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-30 H. Esmat, B. Lorenzo
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Guiding AI-Generated Digital Content with Wireless Perception IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-30 Jiacheng Wang, Hongyang Du, Dusit Niyato, Zehui Xiong, Jiawen Kang, Shiwen Mao, Xuemin Sherman Shen
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Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-30 Yinqiu Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Abbas Jamalipour
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Stacked Intelligent Metasurface-Aided MIMO Transceiver Design IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-30 Jiancheng An, Chau Yuen, Chao Xu, Hongbin Li, Derrick Wing Kwan Ng, Marco Di Renzo, Merouane Debbah, Lajos Hanzo
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Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-15 Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
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Heuristic Algorithms for RIS-Assisted Wireless Networks: Exploring Heuristic-Aided Machine Learning IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-15 Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor
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Deep Learning Driven Buffer-Aided Cooperative Networks for B5G/6G: Challenges, Solutions, and Future Opportunities IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-15 Peng Xu, Gaojie Chen, Jianping Quan, Chong Huang, Ioannis Krikidis, Kai-Kit Wong, Chan-Byoung Chae
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RIS-Based On-the-Air Semantic Communications -- A Diffractional Deep Neural Network Approach IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-15 Shuyi Chen, Yingzhe Hui, Yifan Qin, Yueyi Yuan, Weixiao Meng, Xuewen Luo, Hsiao-Hwa Chen
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Resource Allocation and Mobility Management for Perceptive Mobile Networks in 6G IEEE Wirel. Commun. (IF 10.9) Pub Date : 2024-04-15 Haijun Zhang, Yuxin Zhang, Xiangnan Liu, Kai Sun, Yaomin Zhang