From the 1 of 5 linked papers with an AI index.
5 papers
Semantic Sampling via Learnable Observation Front Ends
Yuxuan Liu, Guangming Shi, Pengfei He +2
The paper introduces a learnable observation front end that creates semantic features from acoustic waveforms to produce low‑rate samples for speech reconstruction, showing improve…
SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication
Yunhao Wang, Shuai Ma, Bin Shen +4
With the evolution of 6G, semantic communication has emerged as a promising paradigm by prioritizing the delivery of task-relevant meaning over strict bit-level correctness. Howeve…
NOC4SC: A Bandwidth-Efficient Multi-User Semantic Communication Framework for Interference-Resilient Transmission
Yunhao Wang, Shuai Ma, Pengfei He +3
With the explosive growth of connected devices and emerging applications, current wireless networks are encountering unprecedented demands for massive user access, where the inter-…
SITP: A High-Reliability Semantic Information Transport Protocol Without Retransmission for Semantic Communication
Yunhao Wang, Shuai Ma, Youlong Wu +4
With the evolution of 6G networks, modern communication systems are facing unprecedented demands for high reliability and low latency. However, conventional transport protocols are…
Feature Partitioning and Semantic Equalization for Intrinsic Robustness in Semantic Communication under Packet Loss
Xiao Yang, Shuai Ma, Yong Liang +1
Semantic communication can improve transmission efficiency by focusing on task-relevant information. However, under packet-based communication protocols, any error typically result…