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- research-articleOctober 2024
One-shot-but-not-degraded Federated Learning
MM '24: Proceedings of the 32nd ACM International Conference on MultimediaPages 11070–11079https://doi.org/10.1145/3664647.3680715Transforming the multi-round vanilla Federated Learning (FL) into one-shot FL (OFL) significantly reduces the communication burden and makes a big leap toward practical deployment. However, we note that existing OFL methods all build on model lossy ...
- research-articleOctober 2024
Generative AI-Enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception
IEEE Communications Magazine (COMAG), Volume 62, Issue 10Pages 96–102https://doi.org/10.1109/MCOM.003.2300645Mobile multimedia networks (MMNs) demonstrate great potential in delivering low-latency and high-quality entertainment and tactical applications, such as short-video sharing, online conferencing, and battlefield surveillance. For instance, in tactical ...
- research-articleSeptember 2024
Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission
- Ruichen Zhang,
- Hongyang Du,
- Yinqiu Liu,
- Dusit Niyato,
- Jiawen Kang,
- Zehui Xiong,
- Abbas Jamalipour,
- Dong In Kim
IEEE Journal on Selected Areas in Communications (JSAC), Volume 42, Issue 12Pages 3581–3596https://doi.org/10.1109/JSAC.2024.3459037In response to the needs of 6G global communications, satellite communication networks have emerged as a key solution. However, the large-scale development of satellite communication networks is constrained by complex system models, whose modeling is ...
- research-articleSeptember 2024
Collaborative Ground-Space Communications via Evolutionary Multi-Objective Deep Reinforcement Learning
IEEE Journal on Selected Areas in Communications (JSAC), Volume 42, Issue 12Pages 3395–3411https://doi.org/10.1109/JSAC.2024.3459029Low Earth Orbit (LEO) satellites have emerged as crucial enablers of direct connections with remote terrestrial terminals. However, energy limitations and insufficient antenna capabilities at the terminals often hamper these connections, resulting in ...
- research-articleNovember 2024
Lightweight adaptive Byzantine fault tolerant consensus algorithm for distributed energy trading
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 251, Issue Chttps://doi.org/10.1016/j.comnet.2024.110635AbstractWith the rapid development of smart grid, constructing distributed energy trading market (DETM) based on blockchain to coordinate distributed energy resources (DER) has become a future direction. However, existing consensus algorithms of ...
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- research-articleAugust 2024
Resource-Efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study
IEEE Wireless Communications (IEEEWIRCOM), Volume 31, Issue 4Pages 66–74https://doi.org/10.1109/MWC.007.2300582As the next-generation wireless communication system, sixth-generation (6G) technologies are emerging, enabling various mobile edge networks that can revolutionize wireless communication and connectivity. By integrating generative artificial intelligence (...
- research-articleJuly 2024
Generative AI for Integrated Sensing and Communication: Insights From the Physical Layer Perspective
IEEE Wireless Communications (IEEEWIRCOM), Volume 31, Issue 5Pages 246–255https://doi.org/10.1109/MWC.013.2300485As generative artificial intelligence (GAl) models continue to evolve, their generative capabilities are increasingly enhanced, and being used exten-sively in content generation. Furthermore, GAl also excels in data modeling and analysis, benefiting ...
- research-articleJune 2024
Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environments
IEEE Journal on Selected Areas in Communications (JSAC), Volume 42, Issue 10Pages 2737–2753https://doi.org/10.1109/JSAC.2024.3414628Groundbreaking applications such as ChatGPT have heightened research interest in generative artificial intelligence (GAI). Essentially, GAI excels not only in content generation but also signal processing, offering support for wireless sensing. Hence, we ...
- research-articleJune 2024
Hybrid Beamforming Toward Positioning Enhancement Under Cellular MIMO Systems
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 10_Part_1Pages 13545–13561https://doi.org/10.1109/TWC.2024.3403568The 4G/5G era in the past decades has witnessed the vigorous development of Hybrid Analog and Digital Beamforming (HBF) technologies in the field of communications under cellular Multiple Input Multiple Output (MIMO) systems. As an evolution, the B5G/6G ...
- surveyMay 2024
Artificial Intelligence for Web 3.0: A Comprehensive Survey
- Meng Shen,
- Zhehui Tan,
- Dusit Niyato,
- Yuzhi Liu,
- Jiawen Kang,
- Zehui Xiong,
- Liehuang Zhu,
- Wei Wang,
- Xuemin (Sherman) Shen
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 247, Pages 1–39https://doi.org/10.1145/3657284Web 3.0 is the next generation of the Internet built on decentralized technologies such as blockchain and cryptography. It is born to solve the problems faced by the previous generation of the Internet such as imbalanced distribution of interests, ...
- research-articleMay 2024
Joint Energy and Completion Time Difference Minimization for UAV-Enabled Intelligent Transportation Systems: A Constrained Multi-Objective Optimization Approach
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 10Pages 14040–14053https://doi.org/10.1109/TITS.2024.3395993An unmanned aerial vehicle (UAV)-enabled intelligent transportation system utilizes a set of UAVs to collect and process surveillance data for transportation management. Subsequently, the processing results of the UAVs are transmitted to a control center ...
- research-articleMay 2024
Incentive and Dynamic Client Selection for Federated Unlearning
WWW '24: Proceedings of the ACM Web Conference 2024Pages 2936–2944https://doi.org/10.1145/3589334.3645462With the development of AI-Generated Content (AIGC), data is becoming increasingly important, while the right of data to be forgotten, which is defined in the General Data Protection Regulation (GDPR) and permits data owners to remove information from ...
- research-articleJuly 2024
Deep Reinforcement Learning based Multi-attribute Auction Model for Resource Allocation in Vehicular AIGC Services
GAIIS '24: Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information SecurityPages 36–42https://doi.org/10.1145/3665348.3665356Artificial Intelligence-Generated Content (AIGC) has garnered widespread attention due to its ability to automatically generate diverse and valuable digital content. Integrating with AIGC, vehicular networks are evolving as the next-generation ...
- articleJuly 2024
Privacy computing meets metaverse: Necessity, taxonomy and challenges
AbstractMetaverse, the core of the next-generation Internet, is a computer-generated holographic digital environment that simultaneously combines spatio-temporal, immersive, real-time, sustainable, interoperable, and data-sensitive characteristics. It ...
Highlights- Discussing the necessity and feasibility of applying privacy computing in metaverse.
- Summarizing cutting-edge research on the application of privacy computing in metaverse.
- Outlining the challenges in metaverse and urging companies ...
- research-articleApril 2024
Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study
IEEE Wireless Communications (IEEEWIRCOM), Volume 31, Issue 4Pages 199–207https://doi.org/10.1109/MWC.009.2300165With the phenomenal success of diffusion models and ChatGPT, deep generation models (DGMs) have been experiencing explosive growth. Not limited to content generation, DGMs are also widely adopted in Internet of Things, Metaverse, and digital twin, due to ...
- research-articleApril 2024
Guiding AI-Generated Digital Content with Wireless Perception
IEEE Wireless Communications (IEEEWIRCOM), Volume 31, Issue 4Pages 147–154https://doi.org/10.1109/MWC.008.2300162Advancements in artificial intelligence (AI), and the surge in diverse training data, have facilitated AI generated content (AIGC). Despite high efficiency, the inherent instability of AI models poses challenges in creating user-specific content, ...
- research-articleApril 2024
Generative AI-Enabled Vehicular Networks: Fundamentals, Framework, and Case Study
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 38, Issue 4Pages 259–267https://doi.org/10.1109/MNET.2024.3391767Recognizing the tremendous improvements that the integration of generative artificial intelligence (AI) can bring to intelligent transportation systems, this article explores the integration of generative AI technologies in vehicular networks, focusing on ...
- research-articleApril 2024
Acceleration Estimation of Signal Propagation Path Length Changes for Wireless Sensing
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 9_Part_1Pages 11476–11492https://doi.org/10.1109/TWC.2024.3382425As indoor applications grow in diversity, wireless sensing, vital in areas like localization and activity recognition, is attracting renewed interest. Indoor wireless sensing relies on signal processing, particularly channel state information (CSI) based ...
- research-articleMarch 2024
A Unified Framework for Guiding Generative AI With Wireless Perception in Resource Constrained Mobile Edge Networks
IEEE Transactions on Mobile Computing (ITMV), Volume 23, Issue 11Pages 10344–10360https://doi.org/10.1109/TMC.2024.3377226With the significant advancements in artificial intelligence (AI) technologies and computational capabilities, generative AI (GAI) has become a pivotal digital content generation technique for offering superior digital services. However, due to the ...
- research-articleFebruary 2024
Enabling AI-Generated Content Services in Wireless Edge Networks
IEEE Wireless Communications (IEEEWIRCOM), Volume 31, Issue 3Pages 226–234https://doi.org/10.1109/MWC.004.2300015Artificial intelligence-generated content (AIGC) refers to the use of AI to automate the information creation process while fulfilling the personalized requirements of users. However, due to the instability of AIGC models - for example, the stochastic ...