Publications (25)
Towards Semantic-based Agent Communication Networks: Vision, Technologies, and Challenges
Ping Zhang, Rui Meng, Xiaodong Xu +24
The International Telecommunication Union (ITU) identifies "Artificial Intelligence (AI) and Communication" as one of six key usage scenarios for 6G. Agentic AI, characterized by i…
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey
Kai Chen, Qinglei Kong, Yijue Dai +4
Data-driven paradigms are well-known and salient demands of future wireless communication. Empowered by big data and machine learning, next-generation data-driven communication sys…
Integrated Sensing, Communication, and Powering over Multi-antenna OFDM Systems
Yilong Chen, Chao Hu, Zixiang Ren +5
This paper considers a multi-functional orthogonal frequency division multiplexing (OFDM) system with integrated sensing, communication, and powering (ISCAP), in which a multi-ante…
Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways
Ping Zhang, Rui Meng, Xiaodong Xu +23
Future engineering infrastructures are evolving into large-scale, open, heterogeneous, and wirelessly interconnected complex systems. These systems present significant challenges i…
Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective
Rui Meng, Zhidi Zhang, Song Gao +9
Intellicise (Intelligent and Concise) wireless network is the main direction of the evolution of future mobile communication systems, a perspective now widely acknowledged across a…
ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation
Liang Zhao, Shenglin Geng, Xiongyan Tang +4
Low Earth Orbit (LEO) satellite constellations have seen significant growth and functional enhancement in recent years, which integrates various capabilities like communication, na…
MetaLoc: Learning to Learn Wireless Localization
Jun Gao, Dongze Wu, Feng Yin +3
Existing localization methods that intensively leverage the environment-specific received signal strength (RSS) or channel state information (CSI) of wireless signals are rather ac…
An Overview on Over-the-Air Federated Edge Learning
Xiaowen Cao, Zhonghao Lyu, Guangxu Zhu +3
Over-the-air federated edge learning (Air-FEEL) has emerged as a promising solution to support edge artificial intelligence (AI) in future beyond 5G (B5G) and 6G networks. In Air-F…
Semantic-based Internet of Embodied Intelligence: Visions and Frontiers
Yaheng Wang, Rui Meng, Xiaodong Xu +7
Recent advances in generative artificial intelligence (AI) and embodied intelligence (EI) enable autonomous agents to interact with the physical world. However, scaling these syste…
GenMetaLoc: Learning to Learn Environment-Aware Fingerprint Generation for Sample Efficient Wireless Localization
Jun Gao, Feng Yin, Wenzhong Yan +3
Existing fingerprinting-based localization methods often require extensive data collection and struggle to generalize to new environments. In contrast to previous environment-unkno…
Throughput Maximization for Movable Antenna Systems with Movement Delay Consideration
Honghao Wang, Qingqing Wu, Ying Gao +4
In this paper, we model the minimum achievable throughput within a transmission block of restricted duration and aim to maximize it in movable antenna (MA)-enabled multiuser downli…
RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
Xiaojie Li, Songyang Zhang, Hang Li +7
Multi-band radiomap reconstruction (MB-RMR) is a key component in wireless communications for tasks such as spectrum management and network planning. However, traditional machine-l…
Two-Timescale Design for AP Mode Selection of Cooperative ISAC Networks
Zhichu Ren, Cunhua Pan, Hong Ren +3
As an emerging technology, cooperative bi-static integrated sensing and communication (ISAC) is promising to achieve high-precision sensing, high-rate communication as well as self…
Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions
Yue Cao, Sifan Li, Chenchen Lv +6
In recent years, low-carbon transportation has become an indispensable part as sustainable development strategies of various countries, and plays a very important responsibility in…
Empowering Over-the-Air Personalized Federated Learning via RIS
Wei Shi, Jiacheng Yao, Jindan Xu +3
Over-the-air computation (AirComp) integrates analog communication with task-oriented computation, serving as a key enabling technique for communication-efficient federated learnin…
Over-the-Air Computation in OFDM Systems with Imperfect Channel State Information
Yilong Chen, Huijun Xing, Jie Xu +2
This paper studies the over-the-air computation (AirComp) in an orthogonal frequency division multiplexing (OFDM) system with imperfect channel state information (CSI), in which mu…
A General Architecture for Behavior Modeling of Nonlinear Power Amplifier using Deep Convolutional Neural Network
Xin Hu, Zhijun Liu, You Li +8
Nonlinearity of power amplifier is one of the major limitations to the achievable capacity in wireless transmission systems. Nonlinear impairments are determined by the nonlinear d…
Semi-Passive IRS Enabled Sensing with Group Movable Sensors
Qiaoyan Peng, Qingqing Wu, Wen Chen +4
The performance of the sensing system is limited by the signal attenuation and the number of receiving components. In this letter, we investigate the sensor position selection in a…
Green Probabilistic Semantic Communication over Wireless Networks
Ruopeng Xu, Zhaohui Yang, Yijie Mao +5
In this paper, we propose a multi-user green semantic communication system facilitated by a probabilistic knowledge graph (PKG). By integrating probability into the knowledge graph…
Output-Dependent Gaussian Process State-Space Model
Zhidi Lin, Lei Cheng, Feng Yin +2
Gaussian process state-space model (GPSSM) is a fully probabilistic state-space model that has attracted much attention over the past decade. However, the outputs of the transition…
Discrete RIS Enhanced Space Shift Keying MIMO System via Reflecting Beamforming Optimization
Xusheng Zhu, Qingqing Wu, Wen Chen +3
In this paper, a discrete reconfigurable intelligent surface (RIS)-assisted spatial shift keying (SSK) multiple-input multiple-output (MIMO) scheme is investigated, in which a dire…
Movable Antenna Enhanced Networked Integrated Sensing and Communication System
Yuan Guo, Wen Chen, Qingqing Wu +5
Integrated sensing and communication (ISAC) is a key technology for future 6G networks. Most existing studies focus on monostatic and/or bistatic setups with limited coverage and c…
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency
Jincheng Dai, Xiaoqi Qin, Sixian Wang +3
Information theory and machine learning are inextricably linked and have even been referred to as "two sides of the same coin". One particularly elegant connection is the essential…
Energy-Efficient Hybrid Beamforming with Dynamic On-off Control for Integrated Sensing, Communications, and Powering
Zeyu Hao, Yuan Fang, Xianghao Yu +4
This paper investigates the energy-efficient hybrid beamforming design for a multi-functional integrated sensing, communications, and powering (ISCAP) system. In this system, a bas…
Towards Precise Channel Knowledge Map: Exploiting Environmental Information from 2D Visuals to 3D Point Clouds
Yancheng Wang, Chuan Huang, Songyang Zhang +7
The substantial communication resources consumed by conventional pilot-based channel sounding impose an unsustainable overhead, presenting a critical scalability challenge for the…