Path loss models comparation in radio mobile communications
Abstract: consider a lot of parameters: how the transmitted si...
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Path loss models comparation in radio mobile communications

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path loss models comparation in radio mobile communications

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Path loss models comparation in radio mobile communications

  1. 1. Path loss models comparation in radio mobile communications Abstract: consider a lot of parameters: how the transmitted signal is affected and plan the communication network. Various propagation models: Statistical models (empirical models): based on a statistical analysis of a great number of experimental measures that takes in account many parameters such as buildings, Base Stations (BS) and mobile station heights. An example is the Okumura-Hata model. It was suggested based on statistical analysis of a great number of experimental measures accomplished in and around the Tokyo town.The attenuation’s retained expression depends on: - f: Frequency (MHz) between 150 and 1500 MHz. - hb: Height (m) of the base station, between 30 and 300 m - hm: Height (m) of the mobile station, between 1 and 20 m - d: BS- Mobile distance (km), between 1 and 20 km and corrective term which depends on the area’s considered town and the frequency used band. Okumura-Hata models give field values illustrated by number of curves depending on a set of frequencies, transmitter-receiver distances and BS’s antenna heights. Physical models: Walfish-Ikegami/COST-231 Model European research group named COST231 has defined a model combining 2 approaches named empirical and deterministic one in order to evaluate propagation loss value for urban morphology and when frequency leave from 900-1800 MHz. These model take in account mainly: free space loss, loss added by diffracton and loss introduced by rooftops near the studied area. Mixed models References models Conclusions: Physical models (WI) can attaint a more greater degree of accuracy than a statistical model (Okumura-Hat), because researcher can retain his his electromagnetism’s laws knowledge that he has. Statistical models are more easy to be used than the physical ones. They don’t need e.g. geographic databases. However, validity domain is often limited: Okumura-Hata model can’t, e.g., be used for distances less than 1 km.

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