Optimized Measurement Location Planning for Interpolation-based Radio Environment Maps

Perner B, Franchi N, Lübke M (2025)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2025

Event location: Palermo IT

DOI: 10.23919/EUSIPCO63237.2025.11226589

Abstract

Radio Environment Maps (REMs) play a crucial role in creating Electromagnetic (EM) situational awareness. This paper addresses the challenge of planning and optimizing measurement locations for REM construction, especially in time or resource-limited situations. Based on Optimal Experimental Design (OED), two measurement location planning strategies are derived from D-optimal and G-optimal design. In addition, the developed strategies are evaluated against baseline strategies and in terms of the impact of measurement density on the quality of REM construction. A measurement campaign at a music festival was carried out to collect real-world measurement data. The collected measurements provide a rural measurement dataset to evaluate different measurement location selection strategies. The results show that an optimized selection strategy can improve the accuracy of the REM construction by 6 dB on average compared to baseline methods.

Authors with CRIS profile

Bastian Perner Lehrstuhl für Intelligente Technische Elektronik und Systeme Norman Franchi Lehrstuhl für Intelligente Technische Elektronik und Systeme Maximilian Lübke Lehrstuhl für Intelligente Technische Elektronik und Systeme

How to cite

APA:

Perner, B., Franchi, N., & Lübke, M. (2025). Optimized Measurement Location Planning for Interpolation-based Radio Environment Maps. In Proceedings of the EUSIPCO. Palermo, IT.

MLA:

Perner, Bastian, Norman Franchi, and Maximilian Lübke. "Optimized Measurement Location Planning for Interpolation-based Radio Environment Maps." Proceedings of the EUSIPCO, Palermo 2025.

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