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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Xue-Yan Cao

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3 papers indexed here

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Oct 2026

Reinforcement Learning-Based Resource Allocation for IRS-Enhanced V2X Communication and Computation Systems

Vehicle-to-everything (V2X) communication and computation face significant challenges in delivering ultrareliable, low-latency communication and optimizing energy efficiency in dynamic vehicular environments. To address these issues, intelligent reflecting surfaces (IRSs) have been introduced to enhance communication p...

Xue-Yan Cao, Yu-Zheng Ren, Shu-Bin Wang · 0 citations
2026

A DDPG-Based Offline–Online Joint Optimization Framework for RIS-Assisted UAV-Enabled ISEC in Dynamic Vehicular Networks

Intelligent transportation systems face dual challenges in achieving efficient synergy between sensing and edge computing, arising from dynamic environments and unstable communication channels. Unlike existing approaches that rely on perfect channel state information (CSI) or assume static environments, this paper prop...

Jun Cui, Xue-Yan Cao, Shu-Bin Wang et al. · 0 citations
Conference Aug 2026

Edge-Coordinated Multi-Head PPO for Multi-UAV Sensing-Assisted Computation Systems

This paper investigates a phased sensing-assisted mobile edge computing system composed of multiple unmanned aerial vehicles (UAVs). A framework is proposed to operate in three sequential phases: local user sensing, global state aggregation, and centralized decision making for distributed offloading. To achieve efficie...

Jia-Qi Lv, Xue-Yan Cao, Jun Cui · 0 citations

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