24 papers
TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous Driving
Mengmeng Zhu, Yuxuan Sun, Wei Chen +1
The deployment of Vision-Language Models (VLMs) in autonomous driving (AD) systems is constrained by on-board computing power, restricting vehicles to small VLMs (SVLMs) with limit…
Center-Fed Pinching Antenna System for Uplink Environment Sensing
Cong Yu, Xu Gan, Bo Ai +3
A center-fed pinching antenna system (C-PASS)-enabled uplink environment sensing framework is proposed. Through the center-fed framework, doubled degrees of freedom is achieved com…
ComHymba: Low-Complexity Domain-Informed Foundation Model for Wireless Communications
Bowen Yang, Wei Chen, Jiaming Cheng +1
Wireless foundation models are a promising route to unify channel reconstruction, sensing, and beam management in future wireless communication systems, but existing designs often…
GELATO: Generative Entropy- and Lyapunov-based Adaptive Token Offloading for Device-Edge Speculative LLM Inference
Zengzipeng Tang, Yuxuan Sun, Wei Chen +2
The recent growth of on-device Large Language Model (LLM) inference has driven significant interest in device-edge collaborative LLM inference. As a promising architecture, Specula…
Hierarchical Online-Scheduling for Energy-Efficient Split Inference with Progressive Transmission
Zengzipeng Tang, Yuxuan Sun, Wei Chen +3
Device-edge collaborative inference with Deep Neural Networks (DNNs) faces fundamental trade-offs among accuracy, latency and energy consumption. Current scheduling exhibits two dr…
Timeliness-Oriented Scheduling and Resource Allocation in Multi-Region Collaborative Perception
Mengmeng Zhu, Yuxuan Sun, Yukuan Jia +3
Collaborative perception (CP) is a critical technology in applications like autonomous driving and smart cities. It involves the sharing and fusion of information among sensors to…
Adaptive End-to-End Transceiver Design for NextG Pilot-Free and CP-Free Wireless Systems
Jiaming Cheng, Wei Chen, Bo Ai
The advent of artificial intelligence (AI)-native wireless communication is fundamentally reshaping the design paradigm of next-generation (NextG) systems, where intelligent air in…
Distribution-Aligned Representation Adaptation for DJSCC over Hybrid Wireless-Wired Networks
Jiangyuan Guo, Wei Chen, Yuxuan Sun +1
Deep joint source-channel coding (DJSCC) has emerged as a robust alternative to traditional separate coding for communications through wireless channels. Existing DJSCC approaches…
Age of Information Aided Intelligent Grant-Free Massive Access for Heterogeneous mMTC Traffic
Zhongwen Sun, Wei Chen, Yuxuan Sun +1
With the arrival of 6G, the Internet of Things (IoT) traffic is becoming more and more complex and diverse. To meet the diverse service requirements of IoT devices, massive machine…
Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiences
Yusong Zhang, Yuxuan Sun, Lei Guo +3
6G networks promise revolutionary immersive communication experiences including augmented reality (AR), virtual reality (VR), and holographic communications. These applications dem…
Uplink Assisted Joint Channel Estimation and CSI Feedback: An Approach Based on Deep Joint Source-Channel Coding
Yiran Guo, Wei Chen, Bo Ai
In frequency division duplex (FDD) multiple-input multiple-output (MIMO) wireless communication systems, the acquisition of downlink channel state information (CSI) is essential fo…
Hierarchy-Aware and Channel-Adaptive Semantic Communication for Bandwidth-Limited Data Fusion
Lei Guo, Wei Chen, Yuxuan Sun +3
Obtaining high-resolution hyperspectral images (HR-HSI) is costly and data-intensive, making it necessary to fuse low-resolution hyperspectral images (LR-HSI) with high-resolution…
Joint CSI Estimation-Feedback-Precoding via DJSCC for MU-MIMO OFDM Systems
Yiran Guo, Wei Chen, Bo Ai +1
As the number of antennas in frequency-division duplex (FDD) multiple-input multiple-output (MIMO) systems increases, acquiring channel state information (CSI) becomes increasingly…
Asynchronous Random Access in Massive MIMO Systems Facilitated by the Delay-Angle Domain
Ao Chen, Wei Chen, Bo Ai +1
The problem of uplink transmissions in massive connectivity is commonly dealt with using schemes for grant-free random access. When a large number of devices transmit almost synchr…
Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints
Lei Guo, Wei Chen, Yuxuan Sun +3
Diffusion models have been extensively utilized in AI-generated content (AIGC) in recent years, thanks to the superior generation capabilities. Combining with semantic communicatio…
AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover
Wen Li, Wei Chen, Shiyue Wang +3
High-speed railway (HSR) communications are pivotal for ensuring rail safety, operations, maintenance, and delivering passenger information services. The high speed of trains creat…
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering
Jiangyuan Guo, Wei Chen, Yuxuan Sun +2
Although semantic communication (SC) has shown its potential in efficiently transmitting multimodal data such as texts, speeches and images, SC for videos has focused primarily on…
Deep Learning for CSI Feedback: One-Sided Model and Joint Multi-Module Learning Perspectives
Yiran Guo, Wei Chen, Feifei Sun +3
The use of deep learning (DL) for channel state information (CSI) feedback has garnered widespread attention across academia and industry. The mainstream DL architectures, e.g., Cs…
Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems
Yiran Guo, Wei Chen, Jialong Xu +2
The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OF…
Building Semantic Communication System via Molecules: An End-to-End Training Approach
Yukun Cheng, Wei Chen, Bo Ai
The concept of semantic communication provides a novel approach for applications in scenarios with limited communication resources. In this paper, we propose an end-to-end (E2E) se…
Swin Transformer-Based CSI Feedback for Massive MIMO
Jiaming Cheng, Wei Chen, Jialong Xu +3
For massive multiple-input multiple-output systems in the frequency division duplex (FDD) mode, accurate downlink channel state information (CSI) is required at the base station (B…
Deep Joint Source Channel Coding With Attention Modules Over MIMO Channels
Weiran Jiang, Wei Chen, Bo Ai
In this paper, we propose two deep joint source and channel coding (DJSCC) structures with attention modules for the multi-input multi-output (MIMO) channel, including a serial str…
Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach
Yukun Cheng, Wei Chen, Lun Li +1
Deep learning based decoding networks have shown significant improvement in decoding LDPC codes, but the neural decoders are limited by rate-matching operations such as puncturing…
A Comprehensive Study of PAPR Reduction Techniques for Deep Joint Source Channel Coding in OFDM Systems
Maolin Liu, Wei Chen, Jialong Xu +1
Recently, deep joint source channel coding (DJSCC) techniques have been extensively studied and have shown significant performance with limited bandwidth and low signal to noise ra…