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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

Author

R. Tafazolli

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2 papers indexed here

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Review 2026

Agentic Low-Altitude Wireless Networks: Fundamentals, Design, and Future Directions

The rapid expansion of the low-altitude economy (LAE), driven by the increasing deployment of large-scale drone systems, has significantly heightened the demand for flexible, low-latency, and highly reliable connectivity in rapidly changing environments. To this end, low-altitude wireless networks (LAWNs) have emerged...

Hai-Jia Jin, Xiao-Qi Zhang, Wei-Jie Yuan et al. · 0 citations
2026

Agentic AI With Zero-Shot Transfer for QoS- and Energy-Aware Resource Auto-Scaling in Cloud-Native B5G Network Slices

This work proposes a decentralised multi-agent recurrent soft actor-critic (MARSAC) framework, an agentic AI approach for QoS- and energy-aware resource auto-scaling in cloud-native Beyond-5G (B5G) network slices. MARSAC deploys autonomous agents embedded within network slice environments, each capable of perceiving lo...

Abdirazak Ali Asir Rage, Ning Wang, R. Tafazolli · 0 citations

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