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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

N. Franchi

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3 papers indexed here

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Preprint Aug 2026

Optimal Measurement Point Selection for Radio Environment Maps: A Two-Stage Approach

Electromagnetic (EM) situational awareness is essential for the deployment and operation of local and temporary non-public networks (NPNs). Radio Environment Maps (REMs) provide an effective basis for network planning and operation by capturing the prevailing EM conditions. However, efficient measurement location selec...

Bastian Perner, Friedemann Laue, M. Lübke et al. · 0 citations
Open access Sep 2026

PA-Aware Partially-Connected Hybrid Beamforming Design for Wideband Integrated Sensing and Communication

Integrated sensing and communication (ISAC) systems operating in the millimeter-wave (mmWave) spectrum critically depend on hybrid beamforming (HBF) architectures to achieve an effective trade-off between hardware implementation complexity and beamforming flexibility. However, the nonlinear behavior of power amplifiers...

Meng-Yu Zhang, Tian-Zhu Huang, Torsten Reissland et al. · 0 citations
Preprint Jul 2026

Multi-Agent Reinforcement Learning for Base Station Placement in TDOA-Based Localization

Accurate localization of devices is a key capability for emerging 5G and 6G networks and depends on effective base station (BS) placement. Conventional geometry-based approaches such as Geometric Dilution of Precision (GDOP) ignore realistic propagation effects such as Non-Line of Sight (NLOS) shadowing and multipath-i...

Bastian Perner, Pratik Gajanan Raut, M. Lubke et al. · 0 citations

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