Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Method for Real-time Adaptive Propagation Loss Modeling and Estimation Over LOS and NLOS Microcellular Radio Communication Links

Version 1 : Received: 5 April 2022 / Approved: 11 April 2022 / Online: 11 April 2022 (13:53:30 CEST)

How to cite: Nwelih, E.N. A Method for Real-time Adaptive Propagation Loss Modeling and Estimation Over LOS and NLOS Microcellular Radio Communication Links. Preprints 2022, 2022040098 (doi: 10.20944/preprints202204.0098.v1). Nwelih, E.N. A Method for Real-time Adaptive Propagation Loss Modeling and Estimation Over LOS and NLOS Microcellular Radio Communication Links. Preprints 2022, 2022040098 (doi: 10.20944/preprints202204.0098.v1).

Abstract

Wireless cellular communication technology has developed into a very resourceful commodity worldwide. Today, people of all races can hardly live without means of voice and data cellular communication technology. Imprecise propagation loss estimation leads to high power waste, high co-channel interference and poor service quality in cellular communication system networks. This paper proposes a realistic adaptive fine-tuning method for distinctive propagation loss estimation over a microcellular communication radio links based on signal power measurements from Long Term Evolution radio broadband networks, taking non-line of sight (NLOS) and line of sight (LOS) environments into consideration. The methodology is verified by measurements taken in non-line of sight and line of sight signal propagation scenarios. The results showed that the estimated propagation losses using the proposed realistic adaptive tuning models were more accurate than the existing Cost -231 modelling estimation approach

Keywords

Adaptive; Tuning; Modelling; Estimation parameters; Propagation loss; NLOS; LOS

Subject

MATHEMATICS & COMPUTER SCIENCE, Numerical Analysis & Optimization

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