IEEE Access (Jan 2020)

Weighted ABG: A General Framework for Optimal Combination of ABG Path-Loss Propagation Models

  • David Casillas-Perez,
  • Carlos Camacho-Gomez,
  • Silvia Jimenez-Fernandez,
  • Jose A. Portilla-Figueras,
  • Sancho Salcedo-Sanz

DOI
https://doi.org/10.1109/ACCESS.2020.2999206
Journal volume & issue
Vol. 8
pp. 101758 – 101769

Abstract

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In this paper we propose a novel path-loss model, the Weighted ABG (WABG), which suitably allows integrating or combine different available datasets, or previously proposed 5G propagation path-loss models from the state-of-the-art. Our proposal is therefore a new ABG-based approach which integrates other existing models, leading to the best possible approximation in least-square sense, considering different weighting policies. We evaluate the performance of the WABG in several 5G scenarios, and we carry out a complete comparison of the proposed method against several recently published ABG models, showing that the WABG obtains the best results in terms of model's accuracy.

Keywords