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Wireless Network Design: Optimization Models and Solution ...

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130 Jeff Kennington, Jason Kratz, <strong>and</strong> Gheorghe Spiride<br />

to mobile orientation <strong>and</strong> the largest 20% <strong>and</strong> smallest 20% of the values were<br />

discarded. The average of the remaining 60% was used in an integer programming<br />

model to determine the optimal location for their 3 APs. Using 3 APs is desirable<br />

since each may be assigned a unique frequency <strong>and</strong> thereby avoid interference.<br />

Site surveys can be useful for developing a coverage-oriented design for low<br />

density areas, but may not produce a good capacity-oriented design for high density<br />

areas. That is, capacity measurements are not part of a site survey but can be<br />

incorporated within software tools. Some clients have found site surveys to be fairly<br />

expensive.<br />

6.2.2 Coverage <strong>Models</strong><br />

A simple optimization-based coverage oriented model can be developed by superimposing<br />

two grids onto a site: one for potential AP locations <strong>and</strong> one for mobile<br />

device (MD) locations. The MD grid is usually finer than the AP grid since in practice<br />

mobile devices could occupy many more positions than APs. The idea is to<br />

select the minimum number of AP grid points so that each MD grid point is covered<br />

(within range) of at least one AP. This can be modeled as a simple binary integer<br />

program. A description of the sets <strong>and</strong> variables needed for this model may be found<br />

in Table 6.2, <strong>and</strong> the coverage-oriented model is given as follows:<br />

Minimize ∑ ws<br />

s∈S<br />

Subject to<br />

∑<br />

s∈CMm<br />

ws ≥ 1∀m ∈ M<br />

ws ∈ {0,1} ∀s ∈ S<br />

Table 6.2 Sets <strong>and</strong> Variables used for the Coverage Model<br />

Name Type Description<br />

S set set of potential APs<br />

M set set of all dem<strong>and</strong> points<br />

CMm subset of S set of APs within range of MD m<br />

ws binary variable ws = 1 if AP s is used; 0 otherwise<br />

This model was used to cover a square site with a dimension of 250 feet as<br />

illustrated in Figure 6.1. Each grid square has a dimension of 50 feet by 50 feet.<br />

The MDs are placed on the 36 grid points <strong>and</strong> the potential locations for APs are<br />

placed on the 16 internal grid points. For effective communication, the distance

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