10 papers
Vision-Wireless Fusion for Multi-User Localization: A Cross-Modal Transformer Approach
Can Zheng, Jiguang He, Guofa Cai +2
Accurate multi-user localization is challenging in complex urban environments, where wireless measurements can become ambiguous under noise, blockage, and multipath, while visual o…
JEPA-MSAC: A Joint-Embedding Predictive Architecture for Multimodal Sensing-Assisted Communications
Can Zheng, Jiguang He, Guofa Cai +4
Future wireless systems increasingly require predictive and transferable representations that can support multiple physical-layer (PHY) tasks under dynamic environments. However, m…
Segment-Wise Flow Matching for Vision-Aided mmWave V2I Beam Prediction
Can Zheng, Jiguang He, Chung G. Kang +3
This paper proposes a vision-conditioned flow matching (FM) framework for beam prediction in millimeter-wave vehicle-to-infrastructure links. Instead of modeling discrete beam-inde…
Dual-Domain Deep Learning-Assisted NOMA-CSK Systems for Secure and Efficient Vehicular Communications
Tingting Huang, Jundong Chen, Huanqiang Zeng +2
Ensuring secure and efficient multi-user (MU) transmission is critical for vehicular communication systems. Chaos-based modulation schemes have garnered considerable interest due t…
Multimodal Radio and Vision Fusion for Robust Localization in Urban V2I Communications
Can Zheng, Jiguang He, Chung G. Kang +2
Accurate localization is critical for vehicle-to-infrastructure (V2I) communication systems, especially in urban areas where GPS signals are often obstructed by tall buildings, lea…
Design of A New Multiple-Chirp-Rate Index Modulation for LoRa Networks
Xiaobin Zhu, Minling Zhang, Guofa Cai +2
We propose a multiple chirp rate index modulation (MCR-IM) system based on Zadoff-Chu (ZC) sequences that overcomes the problems of low transmission rate and large-scale access in…
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
Can Zheng, Jiguang He, Chung G. Kang +3
This paper introduces a novel neural network framework called M2BeamLLM for beam prediction in millimeter-wave (mmWave) massive multi-input multi-output (mMIMO) communication syste…
BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models
Can Zheng, Jiguang He, Guofa Cai +2
In this paper, we propose BeamLLM, a vision-aided millimeter-wave (mmWave) beam prediction framework leveraging large language models (LLMs) to address the challenges of high train…
On the Performance of LoRa Empowered Communication for Wireless Body Area Networks
Minling Zhang, Guofa Cai, Zhiping Xu +2
To remotely monitor the physiological status of the human body, long range (LoRa) communication has been considered as an eminently suitable candidate for wireless body area networ…
RIS-Enabled Anti-Interference in LoRa Systems
Zhaokun Liang, Guofa Cai, Jiguang He +3
It has been proved that a long-range (LoRa) system can achieve long-distance and low-power. However, the performance of LoRa systems can be severely degraded by fading. In addition…