# Which is better Okumura and Hata model?

Which is better Okumura and Hata model?

Table of Contents

## Which is better Okumura and Hata model?

Hata model does not go beyond 1500 MHz while Okumura provides support for up to 1920 MHz. The model is suited for both point-to-point and broadcast communications, and covers mobile station antenna heights of 1–10 m, base station antenna heights of 30–200 m, and link distances from 1–10 km.

### Which of the following is the major disadvantage of Okumura model?

Which of the following is the major disadvantage of the Okumura model? Explanation: The major disadvantage with the model is its slow response to rapid changes in terrain. Therefore the model is fairly good in urban and suburban areas, but not as good in rural areas.

#### What is it propagation in LTE?

The selection of a suitable radio propagation model for LTE is of great importance. A radio propagation model describes the behavior of the signal while it is transmitted from the transmitter towards the receiver. It gives a relation between the distance of transmitter & receiver and the path loss.

What are the main reasons for path losses?

Path loss normally includes propagation losses caused by the natural expansion of the radio wave front in free space (which usually takes the shape of an ever-increasing sphere), absorption losses (sometimes called penetration losses), when the signal passes through media not transparent to electromagnetic waves.

What is indoor propagation?

The ITU indoor propagation model, also known as ITU model for indoor attenuation, is a radio propagation model that estimates the path loss inside a room or a closed area inside a building delimited by walls of any form.

## What is path loss exponent?

The path loss exponent (PLE) is a parameter indicating the rate at which the received signal strength (RSS) decreases with distance, and its value depends on the specific propagation environment.

### Which do not undergo free space propagation?

6. Which of the following do not undergo free space propagation? Explanation: EM signals when traveling through wireless channels experience fading effects due to various effects.

#### What is log normal shadowing?

Simply put, log-normal shadowing implies that measured signal levels at a specific T-R separation have a Gaussian (normal) distribution about the distance-dependent mean of Equation 2 in Log-distance Path Loss model, where the measured signal levels have values in dB units.

How many types of propagation models are there?

The two basic propagation models (Free-Space and Plane Earth Loss) have all the mechanisms which are encountered in macrocell prediction. Many researchers use these models and predict the total signal loss.

What is Okumura’s model?

Okumura’s model is considered to be among the simplest and best in terms of accuracy in path loss prediction for mature cellular and land mobile radio systems in cluttered environments. It is very practical and has become a standard for system planning in modern land mobile radio systems in Japan.

## What is the Okumura model for antenna height?

Okumura Model (Effective Transmitter Antenna Height)  The terrain is averaged along the direction of radio path over the distances between 3 and 15 kilometers.  Effective antenna height is determined as the difference between the height of the BTS antenna and the height of the average terrain. 11.

### What is H mg and H BG in Okumura model?

H MG = Mobile station antenna height gain factor. H BG = Base station antenna height gain factor. K correction = Correction factor gain (such as type of environment, water surfaces, isolated obstacle etc.) Okumura’s model is one of the most widely used models for signal prediction in urban areas.

#### How to calculate path loss using Okumura’s model?

To determine path loss using Okumura’s model, the free space path loss between the points of interest is first determined, and then the value of A mu (f, d) (as read from the curves) is added to it along with correction factors to account for the type of terrain. The model can be expressed as