OUTDOOR PATH LOSS PROPAGATION MODEL OPTIMIZATION BASED ON MEASURED DATA FOR 3G MOBILE NETWORK DEPLOYMENT IN ZARIA KADUNA-NIGERIA
Publication Date : 27/08/2019
Mobile networks in Nigeria have been bedeviled by customer dissatisfaction as a result of poor coverage which brings about frequent call drops, call lost, poor Quality of Service (QoS), poor interconnectivity, echoes, and general network congestion. In order to overcome these deformities and ensure quality delivery of service, a sound network design is of paramount importance. This paper present how Egli model is chosen and optimized for path loss prediction in suburban area of Zaria, Kaduna State-Nigeria. Path losses were empirically collected from Universal Mobile Telecommunication System (UMTS) base station (BS) for MTN mobile operator in the study area. Egli, ECC-33 and ITU-Vegetation models were used in the comparison with the practical measured data obtained from the BS. The comparative analysis revealed that Egli model had least Root Mean Square Error (RMSE) and Chi-square error of 4.47 and 2.69 respectively. Hence, it was chosen as the reference model for optimization. The results showed that the optimized Egli model had a RMSE, Chi-square error and standard deviation of 1.57, 0.01, and 1.68, respectively. Thus, the developed (optimized Egli) model is the most accurate and reliable path loss prediction model for 3G networks deployment in Zaria, Kaduna-Nigeria.
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