4 papers
Learning to Equalize: Data-Driven Frequency-Domain Signal Recovery in Molecular Communications
Cheng Xiang, Yu Huang, Miaowen Wen +2
In molecular communications (MC), inter-symbol interference (ISI) and noise are key factors that degrade communication reliability. Although time-domain equalization can effectivel…
Bayesian-Driven Graph Reasoning for Active Radio Map Construction
Wenlihan Lu, Shijian Gao, Miaowen Wen +4
With the emergence of the low-altitude economy, radio maps have become essential for ensuring reliable wireless connectivity to aerial platforms. Autonomous aerial agents are commo…
Aligning Beam with Imbalanced Multi-modality: A Generative Federated Learning Approach
Jiahui Liang, Miaowen Wen, Shuoyao Wang +2
As vehicle intelligence advances, multi-modal sensing-aided communication emerges as a key enabler for reliable Vehicle-to-Everything (V2X) connectivity through precise environment…
Predictive Target-to-User Association in Complex Scenarios via Hybrid-Field ISAC Signaling
Yifeng Yuan, Miaowen Wen, Xinhu Zheng +2
This paper presents a novel and robust target-to-user (T2U) association framework to support reliable vehicle-to-infrastructure (V2I) networks that potentially operate within the h…