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Wireless Network Design: Optimization Models and Solution ...

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114 Eli Olinick<br />

5.3.5 Additional <strong>Design</strong> Considerations<br />

The models presented thus far consider the key aspects of 3G network design. In<br />

this section we briefly describe some of the other decisions that network designers<br />

face <strong>and</strong> how the they may be incorporated within the framework developed in<br />

this chapter. The ACMIP model <strong>and</strong> its extensions assume symmetric requirements<br />

for uplink (mobile-to-tower) <strong>and</strong> downlink (tower-to-mobile) communication. However,<br />

future cellular systems are expected to have larger data rate requirements on<br />

the downlink than on the uplink. The common belief is that asymmetric applications<br />

such as web browsing will dominate traffic leading to larger data throughputs<br />

on the downlink. The models described above are readily modified to achieve desired<br />

downlink performance as described below, <strong>and</strong> in Amaldi et al. [2, 6, 8] <strong>and</strong><br />

Rajan et al. [51].<br />

Let SIR ↓<br />

min be the minimum acceptable signal-to-interference ratio for the downlink.<br />

For simplicity, we assume a single path channel <strong>and</strong> perfect orthogonality of<br />

the spreading codes assigned to users connected to the same base station. Thus, at<br />

each mobile, the interference is only from base station signals that do not service that<br />

particular mobile. Moreover, we assume that the base station transmits at constant<br />

power for each mobile that it serves. The downlink from tower ℓ to subscribers at<br />

test point m is subject to ambient noise at location m, Nm. Thus, the SIR requirement<br />

for the downlink from tower ℓ to subscribers at test point m is<br />

P target<br />

∑i∈M\{m} ∑ j∈Li\{ℓ} P target<br />

gm j<br />

gi j xi<br />

≥ SIR<br />

j + Nm<br />

↓<br />

min . (5.41)<br />

To add this to the models described above, let vmℓ be a binary variable such that<br />

vmℓ is one if <strong>and</strong> only there is at least one subscriber at a test point m who is served<br />

by tower ℓ <strong>and</strong> add the following downlink SIR constraints to the model:<br />

gm j<br />

∑ ∑ xi j ≤<br />

gi i∈M\{m} j∈Li\{ℓ} j<br />

1<br />

SIR ↓<br />

−<br />

min<br />

Nm<br />

+ (1 − vmℓ)Γmℓ ∀m ∈ M,ℓ ∈ Lm,<br />

Ptarget (5.42)<br />

where Γmℓ is a suitably large constant such that (5.42) is non-binding (i.e., automatically<br />

satisfied) when vmℓ is zero. Thus, the Γ ’s play the same role in the downlink<br />

SIR constraints as the β’s play in the uplink QoS constraints. The following constraints<br />

must also be added to ensure a logical connection between the x’s <strong>and</strong> v’s,<br />

<strong>and</strong> to define the v’s as binary:<br />

xmℓ ≤ dmvmℓ ∀m ∈ M,ℓ ∈ Lm, (5.43)<br />

vmℓ ∈ {0,1} ∀m ∈ M,ℓ ∈ Lm. (5.44)<br />

Interference between users assigned to the same tower in a CDMA system can<br />

be reduced by a technique known as sectorization. Sectorization uses directional

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