Improved ITU‐R model for digital terrestrial television propagation path loss prediction

2017 ◽  
Vol 53 (13) ◽  
pp. 832-834 ◽  
Author(s):  
N.A. Pérez García ◽  
A.D. Pinto ◽  
J.M. Torres ◽  
J.E. Rengel ◽  
L.M. Rujano ◽  
...  
Author(s):  
Peter Opio ◽  
Akisophel Kisolo ◽  
Tumps W. Ireeta ◽  
Willy Okullo

This study presents the modeling of the distribution of RF intensities from the Digital Terrestrial Television (DTTV) broadcasting transmitter in Kampala metropolitan. To  achieve this, the performance evaluation of the different path loss propagation models and envisaging the one most suitable for Kampala metropolitan was done by comparing the path loss model values with the measured field Reference Signal Received  Power (RSRP) values. The RSRP of the DTTV broadcasting transmitter were measured at operating frequencies of 526 MHz, 638 MHz, 730 MHz and 766 MHz using the Aaronia  Spectran HF-6065 V4 spectrum analyzer, Aaronia AG HyperLOG 4025 Antenna at 1.5 m and 2.5 m heights, Aaronia GPS Logger, real time Aaronia MCS spectrum-analysis-software and   a T430s Lenovo Laptop. On comparing the measured path loss values with the various  path loss prediction model values, results showed that Egli and Davidson models are the  most accurate and reliable path loss prediction models for the distribution of DTTV RF  intensities in Kampala metropolitan, since their Root Mean Square Error values were the least for both routes.


2017 ◽  
Vol 2 (11) ◽  
pp. 13 ◽  
Author(s):  
Hammed Lasisi

Path loss, a major parameter in the analysis and design of the link budget of a telecommunication system, could be explained as the reduction in power density of an electromagnetic wave as it travels through space, over a distance. Path loss prediction models are therefore vital tools in cell planning, cell parameter estimation, frequency assignments and interference evaluation. This paper reports on the development of a path loss prediction model that describes the signal attenuation between transmitting and receiving antennas as a function of the propagation distance and other parameters for Osogbo, Nigeria. The model is extensively useful for conducting feasibility studies for signal prediction, coverage optimization and interference analysis during the initial phase of network planning in the study area and other areas with similar environmental and propagation characteristics.


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