38 citations · 234 across the 201 of their papers we have counts for
23 papers · 1 filter
Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey
Qianzhou Chen, Siqi Sun, Minrui Xu +6
The rapid advancements in foundation models and sixth-generation (6G) wireless communication systems necessitate the development of efficient, scalable, and privacy-preserving mach…
Near-Field Integrated Sensing, Computing and Semantic Communication in Digital Twin-Assisted Vehicular Networks
Yinchao Yang, Yahao Ding, Jiaxiang Wang +5
Digital twin (DT) technology offers transformative potential for vehicular networks, enabling high-fidelity virtual representations for enhanced safety and automation. However, sea…
Spatio-Temporal Attention Enhanced Multi-Agent DRL for UAV-Assisted Wireless Networks with Limited Communications
Che Chen, Lanhua Li, Shimin Gong +3
In this paper, we employ multiple UAVs to accelerate data transmissions from ground users (GUs) to a remote base station (BS) via the UAVs' relay communications. The UAVs' intermit…
Semantic Forwarding and Codebook-Enhanced Model Division Multiple Access for Satellite-Terrestrial Networks
Jinghong Huang, Mengying Sun, Xiaodong Xu +7
Satellite-terrestrial communications are severely constrained by high path loss, limited spectrum resources, and time-varying channel conditions, rendering conventional bit-level t…
Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI
Yuxuan Wu, Linghan Ma, Ruichen Zhang +9
Edge General Intelligence (EGI) represents a paradigm shift in mobile edge computing, where intelligent agents operate autonomously in dynamic, resource-constrained environments. H…
Aerial Semantic Relay-Enabled SAGIN: Joint UAV Deployment and Resource Allocation
Yanbo Yin, Dingzhu Wen, Changsheng You +3
Space-Air-Ground Integrated Networks (SAGINs) are pivotal for enabling ubiquitous connectivity in 6G systems, yet they face significant challenges due to severe satellite-to-ground…
Learning Function-to-Function Mappings: A Fourier Neural Operator for Next-Generation MIMO Systems
Jian Xiao, Ji Wang, Qi Sun +4
Next-generation multiple-input multiple-output (MIMO) systems, characterized by extremely large-scale arrays, holographic surfaces, three-dimensional architectures, and flexible an…
Edge Collaborative Gaussian Splatting with Integrated Rendering and Communication
Yujie Wan, Chenxuan Liu, Shuai Wang +5
Gaussian splatting (GS) struggles with degraded rendering quality on low-cost devices. To address this issue, we present edge collaborative GS (ECO-GS), where each user can switch…
Task-Agnostic Learnable Weighted-Knowledge Base Scheme for Robust Semantic Communications
Shiyao Jiang, Jian Jiao, Xingjian Zhang +3
With the emergence of diverse and massive data in the upcoming sixth-generation (6G) networks, the task-agnostic semantic communication system is regarded to provide robust intelli…
Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators
Jian Xiao, Ji Wang, Qimei Cui +4
Flexible intelligent metasurfaces (FIMs) offer a new solution for wireless communications by introducing morphological degrees of freedom, dynamically morphing their three-dimensio…
Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Guojun Huang, Jiancheng An, Lu Gan +3
Semantic communication (SemCom) powered by generative artificial intelligence enables highly efficient and reliable information transmission. However, it still necessitates the tra…
Multi-Waveguide Pinching Antennas for ISAC
Weihao Mao, Yang Lu, Yanqing Xu +3
Recently, a novel flexible-antenna technology, called pinching antennas, has attracted growing academic interest. By inserting discrete dielectric materials, pinching antennas can…
A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges
Feibo Jiang, Cunhua Pan, Li Dong +4
The 6G wireless communications aim to establish an intelligent world of ubiquitous connectivity, providing an unprecedented communication experience. Large artificial intelligence…
Enabling Training-Free Semantic Communication Systems with Generative Diffusion Models
Shunpu Tang, Yuanyuan Jia, Qianqian Yang +3
Semantic communication (SemCom) has recently emerged as a promising paradigm for next-generation wireless systems. Empowered by advanced artificial intelligence (AI) technologies,…
White-Box AI Model: Next Frontier of Wireless Communications
Jiayao Yang, Jiayi Zhang, Bokai Xu +7
White-box AI (WAI), or explainable AI (XAI) model, a novel tool to achieve the reasoning behind decisions and predictions made by the AI algorithms, makes it more understandable an…
Wireless large AI model: shaping the AI-empowered future of 6G and beyond
Fenghao Zhu, Xinquan Wang, Siming Jiang +22
The emergence of sixth-generation and beyond communication systems is expected to fundamentally transform digital experiences through introducing unparalleled levels of intelligenc…
Beyond ISAC: Toward Integrated Heterogeneous Service Provisioning via Elastic Multi-Dimensional Multiple Access
Jie Chen, Xianbin Wang, Dusit Niyato
Due to the growing complexity of vertical applications, current integrated sensing and communications (ISAC) in wireless networks remains insufficient for supporting all required b…
Towards Secure Semantic Communications in the Presence of Intelligent Eavesdroppers
Shunpu Tang, Yuhao Chen, Qianqian Yang +3
Semantic communication has emerged as a promising paradigm for enhancing communication efficiency in sixth-generation (6G) networks. However, the broadcast nature of wireless chann…
Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
Jiacheng Yao, Wei Shi, Wei Xu +3
Over-the-air computation (AirComp) has emerged as an essential approach for enabling communication-efficient federated learning (FL) over wireless networks. Nonetheless, the inhere…
Quantized Analog Beamforming Enabled Multi-task Federated Learning Over-the-air
Jiacheng Yao, Wei Xu, Guangxu Zhu +3
Over-the-air computation (AirComp) has recently emerged as a pivotal technique for communication-efficient federated learning (FL) in resource-constrained wireless networks. Though…
Flexible Intelligent Metasurfaces for Enhancing MIMO Communications
Jiancheng An, Zhu Han, Dusit Niyato +3
Flexible intelligent metasurfaces (FIMs) show great potential for improving the wireless network capacity in an energy-efficient manner. An FIM is a soft array consisting of severa…
Wireless Hallucination in Generative AI-enabled Communications: Concepts, Issues, and Solutions
Xudong Wang, Jiacheng Wang, Lei Feng +6
Generative AI (GenAI) is driving the intelligence of wireless communications. Due to data limitations, random generation, and dynamic environments, GenAI may generate channel infor…
A Contemporary Survey on Semantic Communications:Theory of Mind, Generative AI, and Deep Joint Source-Channel Coding
Loc X. Nguyen, Avi Deb Raha, Pyae Sone Aung +3
Semantic communication is emerging as the next pillar in wireless communication technology due to its transformative capabilities in reducing communication overhead, enhancing robu…