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Wireless Network Design: Optimization Models and Solution ...

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15 Major Trends in Cellular <strong>Network</strong>s <strong>and</strong> Corresponding <strong>Optimization</strong> Issues 361<br />

• Reduction of OPEX <strong>and</strong> CAPEX: Flattening of the architecture <strong>and</strong> reduction of<br />

the number of network elements. Maintenance <strong>and</strong> operation of fewer elements<br />

will translate to lower cost<br />

• Improved spectral efficiency through advanced techniques like Orthogonal Frequency<br />

Division Multiple Access (OFDMA), higher order modulation, channel<br />

dependent scheduling <strong>and</strong> time/frequency diversity<br />

• Scalability of the frequency b<strong>and</strong> also contributes to efficient usage of the spectrum,<br />

by enabling to choose the frequency b<strong>and</strong>width that best fits the available<br />

spectrum<br />

• Maximized reuse of the infrastructure. LTE provides a packet core common to<br />

the various wireless access, as well as built-in mechanisms for inter-working<br />

<strong>and</strong> h<strong>and</strong>over between these access systems. In particular, included are “legacy”<br />

access systems such as 2G <strong>and</strong> 3G. A common core will also help to reduce the<br />

OPEX <strong>and</strong> CAPEX.<br />

In addition, an integral part of LTE design is Self Organizing <strong>Network</strong>s (SON).<br />

SON encompasses Self Configuration, Self <strong>Optimization</strong>, <strong>and</strong> Self Healing. The<br />

target of SON is to minimize human intervention in the tasks of configuration (e.g.,<br />

when a new element such a as base station is put in service), optimization (e.g.,<br />

when network element configuration parameters are readjusted during network operation<br />

to account for imperfections in the network planning <strong>and</strong> traffic evolution)<br />

<strong>and</strong> healing (outage detection <strong>and</strong> compensation). Besides its direct OPEX lowering<br />

benefit, SON’s indirect benefit is to minimize the chance of human errors <strong>and</strong> the<br />

associated indirect costs to the network operator’s image. However, SON’s target is<br />

very ambitious, <strong>and</strong> it remains to be seen how much automation can be achieved,<br />

for example in the area of optimization. The next major step in evolution is LTE-<br />

Advanced, which aims at peak data rates around 1Gb/sec in the downlink, <strong>and</strong> 500<br />

Mbps in the uplink, by using advanced techniques such as carrier aggregation, <strong>and</strong><br />

coordinated multi-point transmission reception [6].<br />

Another example is WIMAX 802.16. WIMAX, initially developed by IEEE as<br />

a wireless substitution to fixed broadb<strong>and</strong> access (802.16-2004), was enhanced to<br />

be able to h<strong>and</strong>le mobile users (802.16-e). The various versions of WIMAX are following<br />

the same evolutionary trend as the GSM family towards higher data rates,<br />

lower round trip time, improved spectral efficiency, frequency scalability <strong>and</strong> reduced<br />

OPEX <strong>and</strong> CAPEX [38]. IEEE 802.16m is the next major milestone in the<br />

WiMAX st<strong>and</strong>ards evolution beyond IEEE 802.16e-2005 [39].<br />

15.5 Backhauling <strong>and</strong> Transport<br />

Mobile backhauling is traditionally based on TDM E1/T1 lines, each providing 1.5<br />

or 2.0 Mbps capacity. With mobile broadb<strong>and</strong> such as LTE, a speed higher than 100<br />

Mbps is required on the backhaul transport. Such speed can in principle be achieved<br />

by bundling a large number of E1/T1 lines, but as the leasing costs are proportional<br />

to the number of lines, that does not scale well. Technologies that can achieve speeds

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