International Journal of Electrical, Electronics and Computers (EEC Journal) [Vol-2, Issue-3, May-Jun 2017] https://dx.doi.org/10.24001/eec.2.3.3 ISSN: 2456-2319 www.eecjournal.com Page | 17 Third Generation Wireless Modeling in Urban Environment Kusay F. Al-Tabatabaie Computer Science Dep., Cihan University –Sulaimanyia Campus, Iraq Abstract—The global mobile communication is fast growing in industry. This paper recommends appropriate settings to evaluate the performance of wireless mobile system deploying third generation networks in an urban environment. To meet this aim, a case Study of Sulaimanyia city is considered for this study by establishing suitable radio channel models. The work presents a statistical channel model, where fixed and nomadic analysis services are considered in the simulated radio coverage scenario. The cartographic dataset had been collected, and Matlab Software was used for showing the analysis and simulation results. Statistical channel models are derived that combine standard parameters such as separation distance, operating frequency and terminal height with more advanced and innovative parameters such as distance dependent shadowing and LOS probability. Keywords— Mobile, 3G, Sulaimanyia City, propagation Model, ICS telecom cartography. I. INTRODUCTION The rapid revolution of wireless technologies in the past decade has led to the fast adoption of smart phones. Consumers are expecting every device they have to be connected to the network to record, transfer, view, or monitor data [1]. Therefore, as wireless technologies are evolving, so must radio planning methods. Many researchers worked to progress cellular solutions such as reducing transmit power, improving coverage, and provide high capacity connectivity [2-5]. The need to evaluate the performance of such systems in an urban environment is required for proper study to set radio channel model. To determine the radio coverage is required to take into account the network type (Fixed, nomadic, mobile…) and target type (Major metropolitan areas or wireless complement connection for rural areas). This call radio signal path loss, which increases with increasing frequency. The radio frequency (RF) power of radio signals would be reduced when radio signals have travelled over a considerable distance. Therefore, in most cases, the systems with higher frequencies will not operate reliably over the distances required for the coverage areas with varied terrain characteristics [6]. For clear line of sight (LOS) propagation, the range between the transmitter and receiver is determined by the free space path loss (PL) equation [7], can be derived from the following expression (1)         d PL 4 log 20 10 dB (1) where d and λ are the range and wavelength in meters, respectively. In Non-Line-of-Sight (NLOS) cases, the performance of higher frequencies is worse with reliable distances dropping even faster. Most paths are obstructed by objects and buildings. When penetrating obstacles, radio waves are decrease in amplitude. As the radio frequency increases, the rate of attenuation increases. Fig. 1 illustrates the effect of higher frequencies having higher attenuation on penetrating obstacles [8]. Fig.1: Higher frequencies have higher attenuation on penetrating obstacles. A radio beam can diffract when it hits the edge of an object. The angle of diffraction is higher as the frequency decreases. When a radio signal is reflected, some of the RF power is absorbed by the obstacle, attenuating the strength of the reflected signal. Fig. 2 show that higher frequencies lose more signal strength on reflection [9]. Fig.2: Frequency dependence of signal strength on reflection