| Autors: Ivanov, A. S., Tonchev, K., Poulkov, V. K., Manolova, A. H., Vlahov, A. G. Title: Limited Sampling Spatial Interpolation Evaluation for 3D Radio Environment Mapping Keywords: interpolation; Kriging; radio environment maps Abstract: The increasing densification and diversification of modern and upcoming wireless networks have become an important motivation for the development of agile spectrum sharing. Radio environment maps (REMs) are a basic tool for spectrum utilisation characterisation and adaptive resource allocation, but they need to be estimated through accurate interpolation methods. This work evaluated the performance of two established algorithms for spatial three-dimensional (3D) data collected in two real-world scenarios: indoors, through a mechanical measuring system, and outdoors, through an unmanned aerial vehicle (UAV) for measurement collection. The investigation was undertaken for the complete dataset on two-dimensional (2D) planes of different altitudes and for a subset of limited samples (representing the regions of interest or RoIs), which were combined together to describe the spatial 3D environment. References Issue
Copyright Multidisciplinary Digital Publishing Institute (MDPI) |
Цитирания (Citation/s):
1. Burmeister F.; Krause A.; Schulz P.; Fettweis G., "Recovering High-Resolution Fading Patterns from Sparsely Sampled Indoor REMs", IEEE Vehicular Technology Conference, 2024, DOI: 10.1109/VTC2024-Spring62846.2024.10683588. - 2024 - в издания, индексирани в Scopus или Web of Science
Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science
