Q: Which of the following models is widely used for signal prediction in urban areas?

A Okumura model
B Attenuation factor model
C Ericsson Multiple Breakpoint Model
D Log distance path loss model

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Answer: A

Explanation:

Okumura model is widely used for signal prediction in urban areas. This model is applicable to frequencies ranging from 150 MHz to 1920 MHz and can be extrapolated up to 3000 MHz. Okumura model takes into account the effects of terrain, buildings, and other obstructions on signal propagation, and it has been found to provide reasonably accurate results for urban areas. Attenuation factor model is used to estimate the signal attenuation caused by a specific type of material, and Ericsson Multiple Breakpoint Model is used for macro cell environments with multiple break points. Log distance path loss model is a widely used path loss model but is not specifically designed for urban areas.

Q: Which of the following models is widely used for signal prediction in urban areas?

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