2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC) 2011
DOI: 10.1109/aimsec.2011.6011312
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Micro cell path loss prediction through hilly-forest terrain: A case study in south of Thailand

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Cited by 4 publications
(3 citation statements)
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“…It has been shown in the literature that propagation prediction models such as Okumura-Hata and the Walfisch-Ikegami (WI) are based on substantial experimental data collection and statistical analysis, which help in computing the receive signal level in a particular propagation medium [2] . Also, mobile communication requires high-quality received signal at the receivers, however, some receiving points provide weak signal due to obstructions such as buildings and trees between a transmitter and a receiver [3] . In the design of wireless communication systems, the knowledge of the propagation characteristics of a wireless radio channel is very vital in a given environment [4] .…”
Section: Introductionmentioning
confidence: 99%
“…It has been shown in the literature that propagation prediction models such as Okumura-Hata and the Walfisch-Ikegami (WI) are based on substantial experimental data collection and statistical analysis, which help in computing the receive signal level in a particular propagation medium [2] . Also, mobile communication requires high-quality received signal at the receivers, however, some receiving points provide weak signal due to obstructions such as buildings and trees between a transmitter and a receiver [3] . In the design of wireless communication systems, the knowledge of the propagation characteristics of a wireless radio channel is very vital in a given environment [4] .…”
Section: Introductionmentioning
confidence: 99%
“…Weissberger [1] suggested the exponent, , to be 0.284, while reference [5] suggests a value of 0.5. Section V.B investigates the effect of the exponent.…”
Section: B Minimizing the Mean Square Error In Determining The Coeffmentioning
confidence: 99%
“…While these methods provide improved accuracy, the cost and effort are not always considered worthwhile and operators often opt for measurement based planning and optimization [18], [19]. The continued research into empirical prediction models, in for example [3], [5] - [7] also bears evidence to the restricted uptake of deterministic models requiring high resolution data.…”
Section: A Prediction Algorithmmentioning
confidence: 99%