2 citations · 2 across the 8 of their papers we have counts for
9 papers
Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways
Ping Zhang, Rui Meng, Xiaodong Xu +23
Future engineering infrastructures are evolving into large-scale, open, heterogeneous, and wirelessly interconnected complex systems. These systems present significant challenges i…
ChannelAgent-Empowered Electromagnetic Space World Model: A Case Study on Agent-Driven Channel Generation for 6G AI-Native Air Interface
Mingyue Li, Li Yu, Yuxiang Zhang +4
As sixth-generation (6G) wireless networks evolve toward increasingly heterogeneous scenarios, tasks, and service requirements, conventional artificial intelligence (AI) models rem…
Generalization Bounds of Emergent Communications for Agentic AI Networking
Yong Xiao, Jingxuan Chai, Guangming Shi +1
The evolution of 6G networking toward agentic AI networking (AgentNet) systems requires a shift from traditional data pipelines to task-aware, agentic AI-native communication solut…
Towards Semantic-based Agent Communication Networks: Vision, Technologies, and Challenges
Ping Zhang, Rui Meng, Xiaodong Xu +24
The International Telecommunication Union (ITU) identifies "Artificial Intelligence (AI) and Communication" as one of six key usage scenarios for 6G. Agentic AI, characterized by i…
Wireless communication empowers online scheduling of partially-observable transportation multi-robot systems in a smart factory
Yaxin Liao, Qimei Cui, Kwang-Cheng Chen +5
Achieving agile and reconfigurable production flows in smart factories depends on online multi-robot task assignment (MRTA), which requires online collision-free and congestion-fre…
SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G
Yong Xiao, Xubo Li, Haoran Zhou +5
Agentic AI networking (AgentNet) is a novel AI-native networking paradigm in which a large number of specialized AI agents collaborate to perform autonomous decision-making, dynami…
Distributed Information Bottleneck Theory for Multi-Modal Task-Aware Semantic Communication
Yujie Zhou, Cheng Peng, Rulong Wang +4
Semantic communication shifts the focus from bit-level accuracy to task-relevant semantic delivery, enabling efficient and intelligent communication for next-generation networks. H…
SANNet: A Semantic-Aware Agentic AI Networking Framework for Multi-Agent Cross-Layer Coordination
Yong Xiao, Haoran Zhou, Xubo Li +3
Agentic AI networking (AgentNet) is a novel AI-native networking paradigm that relies on a large number of specialized AI agents to collaborate and coordinate for autonomous decisi…
Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach
Yong Xiao, Guangming Shi, Ping Zhang
The promising potential of AI and network convergence in improving networking performance and enabling new service capabilities has recently attracted significant interest. Existin…