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Path loss prediction models are essential tools in radio network planning for cellular transmission as they are used for received signal strength estimation, link budget design and analysis, cell size estimation, and interference optimization. This paper presents empirical path loss models developed for WCDMA microcells operating at 2100MHz on live radio Globacom Node Bs in the urban, suburban, and rural areas in Rivers state. The performance of COST 231 Hata model, Stanford University Interim, and Electronic Communication committee 33 were compared with measured field data. COST 231 Hata model gave a better prediction but with high RMSE and SD which are outside the acceptable value for a good radio signal propagation. COST 231 Hata model was for adjustment based on Linear Least Square Algorithm (LLSA). After adjustment and simulations, the adjusted COST 231 Hata model gave better predictions with minimum MSE and SD that are within the acceptable values. The adjusted COST 231 Hata can accurately be used for predicting the radio characteristic of Rivers State.

Adjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers State