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Wireless Network Design: Optimization Models and Solution ...

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6 <strong>Optimization</strong> Based WLAN Modeling <strong>and</strong> <strong>Design</strong> 133<br />

Fig. 6.3 Frequency Assignment Using Three APs with a 60 Degree Antenna at each Star cf. [10]<br />

Mishra et al. [13] describe an environment where multiple APs are operational<br />

<strong>and</strong> mobiles scan the wireless medium <strong>and</strong> associate with the AP having the<br />

strongest signal, <strong>and</strong> the channel assignment can be changed dynamically. The APs<br />

are capable of selecting the best channel from {1,...,k} for operation. Generally, k<br />

is 11 <strong>and</strong> channel overlap is permitted.<br />

Let G = [V,E] denote a graph, where V is the set of APs <strong>and</strong> E denotes pairs<br />

of APs that are close enough to cause interference if the assigned channels overlap.<br />

Let Wi j∀(i, j) ∈ E be the weight associated with link (i, j). The authors generally<br />

use the total number of clients associated with the two APs as the edge weight. A<br />

channel assignment is a mapping C : V → {1,...,k}. Given such a mapping, Ii j is<br />

defined as the interference caused by the assignment of C(i) to AP i <strong>and</strong> C( j) to AP<br />

j. Interference is a function of the distance between the network components (MDs<br />

<strong>and</strong> APs) as well as obstacles between the devices. If there is no overlap in frequency<br />

b<strong>and</strong>s, then Ii j is 0. Using this notation, 3 versions of the channel assignment model<br />

are defined in [13].<br />

The first version minimizes the maximum weighted interference:<br />

Minimize max(Wi jIi j) ∀(i, j) ∈ E<br />

The second version minimizes the sum of the weighted interference:

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