3 papers
eess.SP2026
Optimal Measurement Point Selection for Radio Environment Maps: A Two-Stage Approach
Bastian Perner, Friedemann Laue, Maximilian Lubke +1
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…
eess.SP2026
Multi-Agent Reinforcement Learning for Base Station Placement in TDOA-Based Localization
Bastian Perner, Pratik Gajanan Raut, Maximilian Lübke +1
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 su…
eess.SP2026
Convergence Time Distributions for Max-Consensus over Unreliable Networks
Katharina Stich, Bastian Perner, Friedemann Laue +2
This paper proposes the LiFE-CD algorithm for convergence time analysis of the max-consensus algorithm in multi-agent systems under Bernoulli-distributed link failures. Unlike exis…