Quick

The Quick model is a down and dirty estimate that can be used to estimate
the general propagation expectations for the area. The model is rather simplistic
and straightforward. The advantage with this model is its quickness
for use in roughly estimating the situation at hand. The disadvantage is it
lacks the refinement of the other models.
The Quick method should be used when conducting some generalized
approaches to a cell design and a rough answer is needed.
The Quick method utilizes two equations one for cellular, 880 MHz, and
another for PCS, 1900 MHz.
The Quick method gives a reasonable approximation for a propagation
prediction over a variety of morphologies and can be used when details
regarding the particular environment may not be readily available.
Regardless of which model is used for your analysis, the propagation
model or models employed by your organization must be chosen with
extreme care and undergo a continuous vigil to ensure they are truly being a benefit to the company as a whole. The propagation model employed by the
engineering department not only determines the capital build program, but
also plays a direct factor in the performance of the network. The RF design
is directly affected by the propagation model chosen and particularly by the
underlying assumptions that accompany the use of the particular model.
The propagation model is used to determine how many sites are needed
to provide a particular coverage requirement for the network. In addition,
the coverage requirement is coupled into the traffic-loading requirements.
These traffic-loading requirements rely on the propagation model chosen to
determine the traffic distribution, or off-loading, from an existing site to
new sites as part of the capacity relief program. The propagation model
helps determine where the sites should be placed in order to achieve an
optimal position in the network. If the propagation model used is not effective
in helping place sites correctly, the probability of incorrectly justifying
and deploying a site into the network is high.
Reiterating the point that, although no model can account for all the perturbations
experienced in the real world, it is essential that you utilize one
or several propagation models for determining the path loss of your network. 395