Detail publikace

Interpolation-Based Densification of Sparse Measurement Datasets for 5G+ Systems

LE, T. D. ŠTŮSEK, M. PALUŘÍK, P. MAŠEK, P. MOLTCHANOV, D. HOŠEK, J.

Originální název

Interpolation-Based Densification of Sparse Measurement Datasets for 5G+ Systems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The process of obtaining dense datasets from heterogeneous cellular networks is a difficult task that requires extensive measurement campaigns, considerable time, and financial resources. Therefore, we propose an interpolation-based approach to densify sparse datasets acquired from a limited number of measurements. We demonstrate that the proposed approach can accurately model the signal levels of the serving base station (BS) and predict the coverage by neighboring cells. With the best performing linear and Kriging interpolation algorithms, we achieved values of mean absolute error under 3 dB. Specifically, both methods achieved a prediction error of less than 5 dB for more than 80 % of the measurement points. The prediction accuracy was nearly constant over the entire range of separation distances between the BSs and end devices. Owing to the minimal need for parameterization of the input dataset, the proposed solution is significantly less computationally demanding than machine learning (ML)-based approaches, and does not require training-validation cycles.

Klíčová slova

5G; Dataset densification; Interpolation; IDW; Kriging; Linear interpolation

Autoři

LE, T. D.; ŠTŮSEK, M.; PALUŘÍK, P.; MAŠEK, P.; MOLTCHANOV, D.; HOŠEK, J.

Vydáno

12. 7. 2024

Nakladatel

Institute of Electrical and Electronics Engineers Inc.

Místo

Online

ISBN

979-8-3503-6559-7

Kniha

2024 47th International Conference on Telecommunications and Signal Processing (TSP)

Strany od

264

Strany do

269

Strany počet

6

URL

BibTex

@inproceedings{BUT189209,
  author="Dinh Thao {Le} and Martin {Štůsek} and Pavel {Paluřík} and Pavel {Mašek} and Dmitri {Moltchanov} and Jiří {Hošek}",
  title="Interpolation-Based Densification of Sparse Measurement Datasets for 5G+ Systems",
  booktitle="2024 47th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2024",
  pages="264--269",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  address="Online",
  doi="10.1109/TSP63128.2024.10605926",
  isbn="979-8-3503-6559-7",
  url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10605926"
}