Skip to content
Log in
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

Tomoya Kageyama

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

Optimal Beam Prediction Using Physical Space Information for Multiple APs on 60 GHz Channels

Millimeter-wave (mmWave) bands are promising for growing mobile traffic. However, their strong sensitivity to line-of-sight (LOS) conditions makes reliable communication challenging in dynamic environments. Therefore, accurate beam selection is essential to maintain link quality (LQ). Conventional beam selection relies...

Hisashi Nagata, Tomoya Kageyama, Kahoko Takahashi et al. · 0 citations
Open access 2026

Data-Efficient Throughput Prediction on 28-GHz 5G via Geometry-Aware Preprocessing and Mobility-Diverse Pre-Training

Millimeter-wave communications are highly vulnerable to line-of-sight (LOS) blockage, which can cause severe link quality (LQ) degradation. To enable proactive control for stable mmWave communication, deep neural network (DNN)-based LQ prediction using physical space information—such as the user equipment (UE) position...

Hisashi Nagata, Kahoko Takahashi, Tomoya Kageyama et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.