172 citations · 242 across the 18 of their papers we have counts for
19 papers
WiFo-CF: Wireless Foundation Model for CSI Feedback
Xuanyu Liu, Shijian Gao, Boxun Liu +2
Deep learning-based channel state information (CSI) feedback schemes demonstrate strong compression capabilities but are typically constrained to fixed system configurations, limit…
Synesthesia of Machines (SoM)-Enhanced Sub-THz ISAC Transmission for Air-Ground Network
Zonghui Yang, Shijian Gao, Xiang Cheng +1
Integrated sensing and communication (ISAC) within sub-THz frequencies is crucial for future air-ground networks, but unique propagation characteristics and hardware limitations pr…
Synesthesia of Machines (SoM)-Aided Online FDD Precoding via Heterogeneous Multi-Modal Sensing: A Vertical Federated Learning Approach
Haotian Zhang, Shijian Gao, Weibo Wen +2
This paper investigates a heterogeneous multi-vehicle, multi-modal sensing (H-MVMM) aided online precoding problem. The proposed H-MVMM scheme utilizes a vertical federated learnin…
WiFo: Wireless Foundation Model for Channel Prediction
Boxun Liu, Shijian Gao, Xuanyu Liu +2
Channel prediction permits to acquire channel state information (CSI) without signaling overhead. However, almost all existing channel prediction methods necessitate the deployment…
AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing
Zhiwei Wei, Chenran Huang, Bing Li +4
Vehicular Fog Computing (VFC) is significantly enhancing the efficiency, safety, and computational capabilities of Intelligent Transportation Systems (ITS), and the integration of…
Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks with Double Dynamics
Zonghui Yang, Shijian Gao, Xiang Cheng +1
Integrated sensing and communication (ISAC) technology is vital for vehicular networks, yet the time-varying communication channels and rapid movement of targets present significan…
Synesthesia of Machines (SoM)-Enhanced Wideband Multi-User CSI Learning With LiDAR Sensing
Haotian Zhang, Shijian Gao, Xiang Cheng +1
Light detection and ranging (LiDAR) has been utilized for optimizing wireless communications due to its ability to detect the environment. This paper explores the use of LiDAR in c…
Multi-Modal Fusion-Based Multi-Task Semantic Communication System
Zengle Zhu, Rongqing Zhang, Xiang Cheng +1
In recent years, there has been significant progress in semantic communication systems empowered by deep learning techniques. It has greatly improved the efficiency of information…
LLM4CP: Adapting Large Language Models for Channel Prediction
Boxun Liu, Xuanyu Liu, Shijian Gao +2
Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel predict…
Beam Pattern Modulation Embedded Hybrid Transceiver Optimization for Integrated Sensing and Communication
Boxun Liu, Shijian Gao, Zonghui Yang +2
Integrated sensing and communication (ISAC) emerges as a promising technology for B5G/6G, particularly in the millimeter-wave (mmWave) band. However, the widely utilized hybrid arc…
Superposed IM-OFDM (S-IM-OFDM): An Enhanced OFDM for Integrated Sensing and Communications
Zonghui Yang, Shijian Gao, Xiang Cheng +1
Integrated sensing and communications (ISAC) is a critical enabler for emerging 6G applications, and at its core lies in the dual-functional waveform design. While orthogonal frequ…
A Survey on Federated Learning in Intelligent Transportation Systems
Rongqing Zhang, Hanqiu Wang, Bing Li +2
The development of Intelligent Transportation System (ITS) has brought about comprehensive urban traffic information that not only provides convenience to urban residents in their…
Integrated Sensing and Communications Towards Proactive Beamforming in mmWave V2I via Multi-Modal Feature Fusion (MMFF)
Haotian Zhang, Shijian Gao, Xiang Cheng +1
The future of vehicular communication networks relies on mmWave massive multi-input-multi-output antenna arrays for intensive data transfer and massive vehicle access. However, rel…
Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines
Xiang Cheng, Haotian Zhang, Jianan Zhang +7
In the era of sixth-generation (6G) wireless communications, integrated sensing and communications (ISAC) is recognized as a promising solution to upgrade the physical system by en…
SCMA Codebook Design Based on Uniquely Decomposable Constellation Groups
Xuewan Zhang, Dalong Zhang, Liuqing Yang +3
Sparse code multiple access (SCMA), which helps improve spectrum efficiency (SE) and enhance connectivity, has been proposed as a non-orthogonal multiple access (NOMA) scheme for 5…
Estimating Doubly-Selective Channels for Hybrid mmWave Massive MIMO Systems: A Doubly-Sparse Approach
Shijian Gao, Xiang Cheng, Liuqing Yang
In mmWave massive multiple-input multiple-output (mMIMO) systems, hybrid digital/analog beamforming has been recognized as an economic means to overcome the severe mmWave propagati…
Flexible Energy Management Protocol for Cooperative EV-to-EV Charging
Rongqing Zhang, Xiang Cheng, Liuqing Yang
In this paper, we investigate flexible power transfer among electric vehicles (EVs) from a cooperative perspective in an EV system. First, the concept of cooperative EV-to-EV (V2V)…
Index Modulation for 5G: Striving to Do More with Less
Xiang Cheng, Meng Zhang, Miaowen Wen +1
The fifth generation (5G) wireless communications brag both high spectrum efficiency and high energy efficiency. To meet the requirements, various new techniques have been proposed…
Securing Physical-Layer Communications for Cognitive Radio Networks
Yulong Zou, Jia Zhu, Liuqing Yang +2
This article investigates the physical-layer security of cognitive radio (CR) networks, which are vulnerable to various newly arising attacks targeting on the weaknesses of CR comm…