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Network Coding and Wireless Physical-layer ... - Jacobs University

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116 Chapter 8: Summary, Conclusion, <strong>and</strong> Future Works<br />

spatial probability density<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

y<br />

0.2<br />

0<br />

0<br />

0.2<br />

0.4<br />

x<br />

0.6<br />

0.8<br />

1<br />

Figure 8.3: The normalized mobility component of the spatial node distribution in the<br />

RWP model<br />

do other nodes know that the channel is dropped?<br />

8.2.3 Economics of UEP <strong>Network</strong> <strong>Coding</strong><br />

The auction problem considered in our previous work [3] is only one specific economic<br />

problem among many. There are two more problems that we would like to investigate,<br />

the bargaining problem <strong>and</strong> the hierarchical network coding game.<br />

The Bargaining Problem of UEP <strong>Network</strong> <strong>Coding</strong><br />

The bargaining problem is a non-zero-sum game which allows some cooperation among<br />

p<strong>layer</strong>s. Let us consider network coding in a butterfly network in Fig. 8.4(a). Our knowledge<br />

about UEP network coding tells us that D obtains better data quality if b 1 is of<br />

higher priority than b 2 <strong>and</strong> every edge has the same erasure probability. Indeed, D may<br />

have won an auction over E to obtain this network coding pattern. However, D <strong>and</strong> E<br />

may reach an agreement that, when the edge AB alone is failing or having lots of erasures,<br />

the network coding pattern in Fig. 8.4(b) is used instead. This is beneficial for both D<br />

<strong>and</strong> E.<br />

We aim at exploring the conditions under which bargaining is beneficial as well as the<br />

optimal bargain in numerical values for each receiver in a generalized network.

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