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Wireless Network Design: Optimization Models and Solution ...

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110 Eli Olinick<br />

gmℓ<br />

∑ ∑<br />

m∈M<br />

gm j∈Lm j<br />

xm j ≤ s + (1 − yℓ)βℓ ∀ℓ ∈ L. (5.22)<br />

KKOIP also includes a set of constraints that model a minimum-service requirement<br />

that the United States Federal Communications Commission (FCC) imposes<br />

on cellular service providers as part of its licensing regulations. After receiving a license<br />

from the FCC, the service provider has a five-year time window during which<br />

it must install enough network capacity so that it could provide service to at least<br />

a certain fraction ρ of the population in the market or else forfeit its license. The<br />

value of ρ depends on the frequency b<strong>and</strong> of the license [23, 34]. The constraints<br />

enforcing the FCC requirement are<br />

qm ≤ ∑ yℓ<br />

ℓ∈Lm<br />

∀m ∈ M, (5.23)<br />

qm ≥ yℓ ∀m ∈ M,ℓ ∈ Lm, (5.24)<br />

∑ dmqm ≥ ρ ∑ dm, (5.25)<br />

m∈M<br />

m∈M<br />

qm ∈ {0,1} ∀m ∈ M, (5.26)<br />

where qm is one if, <strong>and</strong> only if, test point m can be serviced by at least one of the<br />

selected towers. Constraint set (5.23) ensures that a test point is only considered<br />

capable of receiving service if there is at least one selected tower within its reach as<br />

determined by Pmax. Conversely, constraint set (5.24) forces the indicator variable<br />

qm equal to one if there is at least one selected tower in range of test point m. Constraint<br />

(5.25) ensures that the proportion of the dem<strong>and</strong> at the test points that could<br />

be assigned to the selected towers is at least ρ, <strong>and</strong> (5.26) defines the qm variables<br />

as binary. Hence, KKOIP maximizes (5.18) subject to (5.19)-(5.26) <strong>and</strong> (5.9).<br />

5.3.3 Infrastructure<br />

As described earlier, a comprehensive CDMA planning model should consider other<br />

elements of the network infrastructure (e.g., MTSOs) in addition to the tower locations.<br />

A cost minimization model that includes tower-to-MTSO wiring cost <strong>and</strong><br />

h<strong>and</strong>off cost for a given traffic volume at the base stations was developed by Merchant<br />

<strong>and</strong> Sengupta [43] <strong>and</strong> refined by Li et al. [40]. Cai et al. [16, 17] build on this<br />

work <strong>and</strong> on the KKOIP model to develop an integrated profit maximization model<br />

considering the selection of tower, MTSO <strong>and</strong> PSTN gateway locations, tower-to-<br />

MTSO connections, subscriber assignment, <strong>and</strong> the backbone network as depicted<br />

in Figures 5.1 <strong>and</strong> 5.2. In addition to the input parameters described previously, the<br />

model in [17] includes a set of c<strong>and</strong>idate MTSO locations denoted by K. The set<br />

K0 denotes the union of K <strong>and</strong> the PSTN gateway (i.e., location zero). The binary<br />

variable zk is equal to one if, <strong>and</strong> only if, the design uses an MTSO at location k,<br />

<strong>and</strong> binary variable sℓk indicates whether or not tower ℓ is connected to the MTSO

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