Comprehensive performance analysis of path loss models on GSM 940 MHz and IEEE 802.16 WIMAX frequency 3.5 GHz on different terrains

Now-a-days broadband wireless access system supports potential success in radio network planning. In this paper we have considered GSM and WIMAX cellular network with different operating frequencies in wireless broadband services. The critical task lies on providing large scale dimensioning in broad band wireless system is a vital factor. so, an effective Path loss performance is a pivotal step requirement for deployment of wireless and cellular network planning in SIMO(Single-Input and Multiple-Output)model. In this work we are compared and analyze the various different propagation path loss models for our study. We computed the results by taking different receiver antennas heights(4m and 10m)in urban, suburban, rural (flat)areas. For measuring we have considered GSM(940 MHz) and WIMAX(3.5 GHz)in urban, suburban(NLOS) condition for rural(LOS)condition and used MAT Lab simulator for generating results.

I. Introduction

Today's context the wireless technology becomes more and more popular in cellular network. Broadband wireless system has potential success in LOS (line-of-sight) and non line-of-sight(NLOS) in different frequencies. In radio communication system the path loss is the important element in wireless network. The elements of the radio communication systems are transmitter power, antenna height and antenna gain. Also, we have to understand clearly the radio path loss is the relation between coverage area and level of signal loss in a particular environment. Thus the radio propagation model plays a important role in optimizing network performance. The analyses of radio propagation on different environments like urban, suburban terrains and rural considered in this paper [7]. The terrains are highly imperative on different obstructions like high buildings, towers, shadowing effect, hilly stations etc. These obstructions are completely beyond the control of site engineers. The optimized network planning can be done on the theories of physics and mathematics applied, so we focused on this area [8].