|Communications on Applied Electronics|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 6 - Number 7|
|Year of Publication: 2017|
|Authors: N. O. Salau, O. O. Shoewu, A. O. Ogunlewe|
N. O. Salau, O. O. Shoewu, A. O. Ogunlewe . Path Loss Measurement for GSM Terrains in Lagos State, Nigeria. Communications on Applied Electronics. 6, 7 ( Feb 2017), 8-16. DOI=10.5120/cae2017652497
This paper presents report of research work on comparative analysis of Pathloss measurements based on terrain differences, frequencies of operation and distance between Base Transceiver Station (BTS) and Mobile Station (MS). Lagos state G.S.M terrains with 2G (900MHz / 1800MHz) and 3G (2100MHz) frequencies of operation were put under investigation. Field data were collected through drive tests from twelve (12) different sites using TEMS software in the chosen environments over a range of distance between 0.5-10Km from Base station (BS) to Mobile station (MS) with measurement taken at 0.5Km intervals for a period of one year (52 weeks). Strategically Lagos-Island (N60 27.4832’ E30 23.5453’), Surulere (N60 33.3844’ E30 20.9407’), Lekki-Oniru (N60 26.6661’ E30 28.7463’) and Agbede-Ikorodu (N60 39.9250’ E30 29.0363’) were chosen as dense-urban (DU), urban (UR), sub-urban (SU) and non-urban (NU) G.S.M terrains respectively. In this research work Rxlev/RSSI and Pathloss were measured in all areas of investigation and empirical Cost231-Hata model was used for pathloss calculation of field data, and its results were compared with Pathloss measured through drive tests. The measured pathloss, when compared with empirical values from the COST 231 theoretical models, showed a close agreement with the pathloss predicted by the COST231- Hata model in terms of mean square error analysis. During our findings it was revealed that Pathloss increases with distance between BTS and MS, Pathloss also increases with frequency of operation; hence 3G networks experience more pathloss than 2G and from further analysis it was observed that Pathloss increases from Non-Urban to Sub-Urban to Urban and Dense-Urban respectively when compared using different terrain characteristics.