Propagation Prediction Model for Land Mobile Communication in Microcellular Environment

Abstract

The propagation channel is the principal contributor to many of the problems and limitations that degrades the performance of mobile radio systems. One obvious example is multipath propagation which is a major characteristic of the mobile radio channels, which severely affects the performance of digital systems by reducing the carrier-to-interference ratio. Thus accurate characterization of the propagation channel is very important for cost effective planning of Land Mobile Communication System. This paper presents a simplified technique for modeling radio propagation channel applicable for microcellular environment. Two propagation channel models have been considered. These are statistical theory based Suzuki Model and deterministic Uniform Theory of Diffraction (UTD) based Ray Tracing model, to predict received signal in the microcellular environment. The various statistical parameters such as, cumulative distribution function (cdf), level crossing rate (lcr) and average duration of fade (adf) were obtained from the total received signal to characterize the propagation channel using both the models. The comparison of these characteristics is summarized which indicates the good agreement of statistical and deterministic models.

A study of influence of fast fading on the performance of mobile communication system

“…Figure 1 illustrate the received signal strength envelop as simulated by a deterministic fading model [4]. The various threshold levels shown are R1, R2 and R3 at = -60 dB,-80 dB and -100 dB respectively.…”

Design of Power Wireless Private Network Coverage Prediction System

“…In the operation and maintenance process, the base station adjustment and relocation is lack of theoretical analysis. Actually, radio wave coverage prediction plays a significant role in base station location selection, the interference analysis, frequency allocation and resource allocation [1]. Radio wave propagation characteristics analysis is important for the design and deployment of power wireless private networks in a specific topographical distribution environment [5].…”