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Wireless Network Design: Optimization Models and Solution ...

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

6.2.6 Current State-of-the-Art<br />

Based upon the experience of deploying WLANs on our own campus <strong>and</strong> the literature<br />

in the previous sections, we conclude that IT professionals use a combination<br />

of three basic strategies to design WLANs: i) they arbitrarily decide where to locate<br />

APs, ii) they conduct site-surveys, or iii) they use the assistance of software tools.<br />

Over the course of the last 10 years, WLAN access has evolved from a somewhat infrequent<br />

feature of an enterprise network to a “must-have”. Practical WLAN design<br />

approaches have mirrored this evolution path. Initially, simple designs involving<br />

only a few APs were put together by simply select the APs’ location <strong>and</strong> assigning<br />

frequencies that appear appropriate. This sort of ad-hoc design approach evolved to<br />

support more complicated designs, where site-surveys would be undertaken. Geier<br />

[4] - the principal consultant <strong>and</strong> founder of <strong>Wireless</strong>-Nets, Ltd. - illustrates the<br />

recent state-of-the-art in the practice of site surveys for WLAN design.<br />

The proliferation of low-cost WLAN hardware “bundled” along with portable<br />

computers, smartphones, appliances, game consoles, etc. contributes to the increase<br />

in complexity of WLAN designs, especially within the scope of large enterprise deployments.<br />

Many hardware vendors provide proprietary software tools for use with<br />

their products. The tools described by Longo [11] (OPNET Technologies) <strong>and</strong> Skidmore<br />

et al. [19] (<strong>Wireless</strong> Valley Communications, Inc.) represent the current stateof-the-art<br />

of these types of tools. The initial efforts outlined in [3] were augmented<br />

by the development of the Site-Specific System Simulator for <strong>Wireless</strong> Communications<br />

(S 4 W) at Virginia Tech [19]. Funded by a grant from the NSF Next Generation<br />

Software program, this PSE allows IT personnel to run simulation models that may<br />

be used to design WLANs that minimize costs, or maximize capacity or coverage.<br />

S 4 W also provides support for the data management tasks that simplify the maintenance<br />

of a large WLAN design in practice.<br />

6.3 A Maximimum Capacity-Oriented Model<br />

A simple coverage model was presented in Section 6.2.2 <strong>and</strong> a coverage model that<br />

also involved channel assingment was developed by Bahri <strong>and</strong> Chamberl<strong>and</strong> [2].<br />

However, to our knowledge, the literature does not contain a model that attempts to<br />

determine the location <strong>and</strong> channel assignment of APs that yields a network having<br />

maximum capacity. The problem of interest may be defined as follows:<br />

Given a fixed number of APs that can be deployed in a given site with static MD locations,<br />

determine the location <strong>and</strong> channel assignment for each AP that results in the maximum<br />

throughput.<br />

A new optimization-based model for this problem will be described in this section.<br />

Solving this problem for a given building requires determining i) the number of<br />

access points (APs) to install, ii) the location of these APs, iii) the transmission<br />

power assigned to each AP, <strong>and</strong> iv) the frequency assigned to each AP. A mobile

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