Network Coding and Wireless Physical-layer ... - Jacobs University
Network Coding and Wireless Physical-layer ... - Jacobs University
Network Coding and Wireless Physical-layer ... - Jacobs University
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38 Chapter 4: Unequal Erasure Protection (UEP) in <strong>Network</strong> <strong>Coding</strong><br />
A<br />
b 2<br />
B<br />
C<br />
b 1 ⊕ b 2<br />
b 2<br />
b 2<br />
F<br />
b 1 ⊕ b 2 b 1<br />
b 1 ⊕ b 2<br />
G<br />
b 1 b 1<br />
D<br />
E<br />
Figure 4.3: Another network coding pattern in a butterfly network<br />
problem, so is our problem. Therefore, in the next section, we will formulate it using such<br />
economic terms as utility, marginal value, <strong>and</strong> anticipation.<br />
4.4 The Utility of Scalable Data<br />
The “utility” is a numerical value representing the amount of satisfaction that a user<br />
receives from an object. In our case, a “user” simply refers to a receiver, whereas the<br />
term “object” deserves a careful consideration. If we define an object by a <strong>layer</strong> of scalable<br />
data, it might appear at first that we now have several types of objects, since each <strong>layer</strong> of<br />
data has different properties. However, for the sake of simplicity <strong>and</strong> orderliness, we will<br />
treat all the <strong>layer</strong>s as the same type of objects which are arranged in order of importance.<br />
Moreover, each <strong>layer</strong> corresponds to an inseparable object, i.e., half a <strong>layer</strong> is considered<br />
meaningless. Thus, the word “<strong>layer</strong>” to be considered here needs not be the same as the<br />
one defined in any particular technical st<strong>and</strong>ard. It simply denotes an inseparable unit<br />
of data symbols.<br />
In this way, our formulation will correspond to the following law of<br />
diminishing marginal utility in economics [6].<br />
Law 4.1 : Law of Diminishing Marginal Utility<br />
1. The utility that each receiver gains from receiving scalable data depends on the number