142 citations · 487 across the 83 of their papers we have counts for
5 papers · 1 filter
Rethinking Modern Communication from Semantic Coding to Semantic Communication
Kun Lu, Qingyang Zhou, Rongpeng Li +4
Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message. This article rethinks these two major features and in…
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network
Yan Shao, Rongpeng Li, Bing Hu +3
Network slicing (NS) management devotes to providing various services to meet distinct requirements over the same physical communication infrastructure and allocating resources on…
Reinforcement Learning-powered Semantic Communication via Semantic Similarity
Kun Lu, Rongpeng Li, Xianfu Chen +2
We introduce a new semantic communication mechanism - SemanticRL, whose key idea is to preserve the semantic information instead of strictly securing the bit-level precision. Unlik…
Semantic Communication with Adaptive Universal Transformer
Qingyang Zhou, Rongpeng Li, Zhifeng Zhao +2
With the development of deep learning (DL), natural language processing (NLP) makes it possible for us to analyze and understand a large amount of language texts. Accordingly, we c…
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
Xing Xu, Rongpeng Li, Zhifeng Zhao +1
The paper considers independent reinforcement learning (IRL) for multi-agent collaborative decision-making in the paradigm of federated learning (FL). However, FL generates excessi…