2019
DOI: 10.5121/ijwmn.2019.11603
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Improved Propagation Models for LTE Path Loss Prediction in Urban & Suburban Ghana

Abstract: To maximize the benefits of LTE cellular networks, careful and proper planning is needed. This requires the use of accurate propagation models to quantify the path loss required for base station deployment. Deployed LTE networks in Ghana can barely meet the desired 100Mbps throughput leading to customer dissatisfaction. Network operators rely on transmission planning tools designed for generalized environments that come with already embedded propagation models suited to other environments. A challenge therefor… Show more

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Cited by 2 publications
(1 citation statement)
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“…The system noise and the power received in each receiver by each possible transmitter have been simulated by the FUB using the Cost Hata model [3, 19, 30] with a transmitter power emission set at the mean value of 40 W$$ W $$ (being the feasible range false[20,80false]$$ \left[20,80\right] $$). The power values expressed by the parameters atb$$ {a}_{tb} $$ are in W$$ W $$ and scaled by a factor of 1010$$ 1{0}^{10} $$ to avoid numerical issues and obtain better accuracy on optimal solutions, as suggested in [12].…”
Section: Computational Resultsmentioning
confidence: 99%
“…The system noise and the power received in each receiver by each possible transmitter have been simulated by the FUB using the Cost Hata model [3, 19, 30] with a transmitter power emission set at the mean value of 40 W$$ W $$ (being the feasible range false[20,80false]$$ \left[20,80\right] $$). The power values expressed by the parameters atb$$ {a}_{tb} $$ are in W$$ W $$ and scaled by a factor of 1010$$ 1{0}^{10} $$ to avoid numerical issues and obtain better accuracy on optimal solutions, as suggested in [12].…”
Section: Computational Resultsmentioning
confidence: 99%