Comparison Among Different Large Scale Path Loss Models for High Sites in Urban, Suburban and Rural Areas
Purno Mohon Ghosh1, Md. Anwar Hossain2, A. F. M. Zainul Abadin3, Kallol Krishna Karmakar4

1Purno Mohon Ghosh, Department of Applied Physics, Electronic and Communication Engineering (APECE), Pabna Science and Technology University, Pabna, Bangladesh.
2Md. Anwar Hossain, Department of Information and Communication Engineering (ICE), Pabna Science and Technology University, Pabna, Bangladesh.
3A.F.M Zainul Abadin, Department of Information and Communication Engineering (ICE), Pabna Science and Technology University, Pabna, Bangladesh.
4Kallol Krishna Karmaker, Department of Applied Physics, Electronic and Communication Engineering (APECE), Pabna Science and Technology University, Pabna, Bangladesh.

Manuscript received on April 11, 2012. | Revised Manuscript received on April 14, 2012. | Manuscript published on May 05, 2012. | PP: 287-290 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0602042212/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Radio propagation is essential for emerging technologies with appropriate design, deployment and management strategies for any wireless network. It is heavily site specific and can vary significantly depending on terrain, frequency of operation, velocity of mobile terminal, interface sources and other dynamic factor. Accurate characterization of radio channel through key parameters and a mathematical model is important for predicting signal coverage. Path loss models for macro cells such as Hata Okumura, Walfisch-Ikegami and Lee models are analyzed and compared their parameters. The received signal strength was calculated with respect to distance and model that can be adopted to minimize the number of handoffs. This paper proposes path loss models for high sites in urban, suburban and rural areas.

Keywords: Cellular mobile, Propagation model, Path loss, Received signal strength