6 papers · 1 filter
GenED-SC: Generative Editing Semantic Communication with Integrated Multi-Modal LLMs
Shuoyao Wang, Suzhi Bi, Mingze Gong +3
Deep learning-based joint source-channel coding has recently demonstrated strong potential for semantic communication (SemComm). However, most existing approaches focus on optimizi…
Distortion-Aware UAV Placement for Aerial Semantic Relay Communications: An Analytical Approach
Mingze Gong, Jia Yan, Shuoyao Wang
Aerial semantic relay communications (SRC) employs an unmanned aerial vehicle (UAV) equipped with a semantic encoder as a relay, which not only extends the data acquisition coverag…
Robust MIMO Semantic Communication with Imperfect CSI via Knowledge Distillation
Mingze Gong, Shuoyao Wang, Shijian Gao +2
Semantic communication (SemComm) has emerged as a new communication paradigm. To enhance efficiency, multiple-input-multiple-output (MIMO) technology has been further integrated in…
Low-Rate Semantic Communication with Codebook-based Conditional Generative Models
Kailang Ye, Mingze Gong, Shuoyao Wang +1
Generative semantic communication models are reshaping semantic communication frameworks by moving beyond pixel-wise optimization to align with human perception. However, many exis…
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…