Comparative Analysis of Received Signal Strength Prediction Models for Radio Network Planning of GSM 900 MHz in Ilorin, Nigeria
Olasunkanmi F. Oseni1, Segun I. Popoola2, Robert O. Abolade3, Oluwole A. Adegbola4
1O.F. Oseni, Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomoso Nigeria.
2S.I. Popoola, Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomoso Nigeria.
3R.O. Abolade, Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomoso Nigeria.
4O.A. Adegbola, Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomoso Nigeria.
Manuscript received on 14 August 2014 | Revised Manuscript received on 22 August 2014 | Manuscript Published on 30 August 2014 | PP: 45-50 | Volume-4 Issue-3, August 2014 | Retrieval Number: C1767084314/14©BEIESP
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© The Authors. 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: The quality of coverage of any radio network design depends on the accuracy of the propagation model employed during planning and initial deployment. For efficient radio network design, the propagation models are estimated from signal strength measurement taken in the area of interest. In this paper, the suitability of Okumura-Hata model, COST 231-Hata model and Standard Propagation Model for radio coverage prediction on terrains of Ilorin City, Nigeria was investigated. Field measurement data were obtained from the GSM 900 radio network deployed in the area through drive test. The actual Received Signal Strength (RSS) values were compared with those obtained from model predictions in ATOLL network planning tool. The predictions of Standard Propagation Model gave the minimum Root Mean Square Error (RMSE) of 5.52 dB, 12.73 dB and 18.4 dB on BS2501, BS2502 and BS2503 respectively. The deviation of the mean RSS predicted by Okumura-Hata was found to be the highest when compared with that of the actual data collected. Therefore, the use of Standard Propagation Model in radio network planning at 900 MHz will deliver a better Quality of Service (QoS) to mobile users in these propagation environments.
Keywords: Drive test, Propagation Model, Received Signal Strength, Radio Network Planning.
Scope of the Article: Cognitive Radio Networks