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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 357<br />

For low income populations, affordability is key. The relevant metric is user<br />

TCO, which is the total cost to buy <strong>and</strong> use a mobile device. This includes the price<br />

of the mobile device <strong>and</strong> the price of the service. An analysis of global income [25]<br />

shows that 2.7bn people earn 2 USD or less per day, <strong>and</strong> have a budget of 3 USD<br />

per month or less to spend on Information <strong>and</strong> Communications Technology (ICT).<br />

Slightly higher up the income scale, we find that 2.8bn people have an income of<br />

between 4 USD <strong>and</strong> 40 USD per month. Yet today the average TCO for the lower<br />

income consumer is about 13 USD [21]. Clearly, the operators need to lower their<br />

own TCO to be in a position to offer lower-priced services <strong>and</strong> still be profitable.<br />

Innovation in the business model <strong>and</strong> cost structure is called for.<br />

15.3 Overview of <strong>Solution</strong> Approaches<br />

This section provides an overview of the most significant solution approaches, but<br />

is not intended to be exhaustive. Subsequent sections provide more details on a<br />

selected subset of solutions. In general, solutions attempt to reduce costs <strong>and</strong>/or<br />

increase revenues.<br />

The first challenge is the explosive growth in data traffic. As mobile data traffic<br />

is expected to grow from 1.3 Exabytes in 2008 to 19.2 Exabytes in 2014 [11], <strong>and</strong><br />

users expect higher throughput <strong>and</strong> lower latency, an incremental upgrade will not<br />

be enough. Operators will have to acquire new spectrum <strong>and</strong> overhaul the network<br />

infrastructure from the base station all the way to the core network, including the<br />

transport infrastructure. Furthermore, new technologies such as LTE (Long Term<br />

Evolution) will be needed to achieve a quantum jump in the throughput <strong>and</strong> latency<br />

compared to 3G [3].<br />

A near term solution to alleviate the spectrum capacity problem is to use femtocells.<br />

Femtocells are miniature cellular base stations, with relatively short radio<br />

range, deployed in the home to provide regular cellular service to the users in the<br />

household. Traffic to/from the femtocell is backhauled through the home’s fixed<br />

broadb<strong>and</strong> connection (xDSL, cable, etc.) to the cellular core network [16]. It<br />

should be noted that femtocells offer other benefits such as better radio quality for<br />

the user, <strong>and</strong> lower power drain on the mobile terminal. To take the U.S. as an example,<br />

operators such as AT&T [10] <strong>and</strong> Verizon [36] are starting to offer femtocells.<br />

Unlicensed mobile access (UMA) is another near term approach to alleviate the<br />

spectrum capacity problem by offloading the cellular traffic to a WiFi access point<br />

in the home [2]. As with Femtocells, UMA traffic is backhauled on the home’s fixed<br />

broadb<strong>and</strong> connection to the cellular core network. UMA-based service is currently<br />

offered in the U.S. by T-Mobile.<br />

A generalization of Femtocells <strong>and</strong> UMA is Smart Connectivity (SC). SC enables<br />

seamless access to services in heterogeneous networks across a variety of access<br />

systems (2G, 3G, LTE, WIMAX, WiFi, xDSL, PON, etc.). As the user roams,<br />

Smart Connectivity determines what accesses are available <strong>and</strong> provides the ability<br />

to select the optimal one for the best user experience <strong>and</strong> most efficient use

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