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

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 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.