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20232026
most citedGenerative AI-enabled Vehicular Networks: Fundamentals, Framework, and Case Study

9 citations · 30 across the 90 of their papers we have counts for

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12 papers · 1 filter

eess.SP2026

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…

eess.SP2026

Rotatable Antenna Enabled Multi-Cell Mixed Near-Field and Far-Field Communications

Yunpu Zhang, Changsheng You, Ruichen Zhang +4

Prior studies on mixed near-field and far-field communications have focused exclusively on single-cell scenarios, where both near-field and far-field users are served by the same b…

eess.SP2026

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…

eess.SP2026

Rethinking Secure Semantic Communications in the Age of Generative and Agentic AI: Threats and Opportunities

Shunpu Tang, Yuanyuan Jia, Zijiu Yang +6

Semantic communication (SemCom) improves communication efficiency by transmitting task-relevant information instead of raw bits and is expected to be a key technology for 6G networ…

eess.SP2025

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey

Yang Lu, Shengli Zhang, Chang Liu +6

The rapid advancement of communication technologies has driven the evolution of communication networks towards both high-dimensional resource utilization and multifunctional integr…

eess.SP2025

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning

Changyuan Zhao, Ruichen Zhang, Jiacheng Wang +6

This paper introduces a two-stage generative AI (GenAI) framework tailored for temporal spectrum cartography in low-altitude economy networks (LAENets). LAENets, characterized by d…