5 papers
Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach
Shujing Li, Yanhu Wang, Shuaishuai Guo +1
Graph data, essential in fields like knowledge representation and social networks, often involves large networks with many nodes and edges. Transmitting these graphs can be highly…
Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective
Shuaishuai Guo, Anbang Zhang, Yanhu Wang +2
Task-oriented semantic communication (ToSC) emerges as an innovative approach in the 6G landscape, characterized by the transmission of only vital information that is directly pert…
Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization
Yanhu Wang, Muhammad Muzammil Afzal, Zhengyang Li +4
Traditional base station siting (BSS) methods rely heavily on drive testing and user feedback, which are laborious and require extensive expertise in communication, networking, and…
Benchmarking Semantic Communications for Image Transmission Over MIMO Interference Channels
Yanhu Wang, Shuaishuai Guo, Anming Dong +1
Semantic communications offer promising prospects for enhancing data transmission efficiency. However, existing schemes have predominantly concentrated on point-to-point transmissi…
Semantic Importance-Aware Communications with Semantic Correction Using Large Language Models
Shuaishuai Guo, Yanhu Wang, Jia Ye +2
Semantic communications, a promising approach for agent-human and agent-agent interactions, typically operate at a feature level, lacking true semantic understanding. This paper ex…