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When the interference graph is sparse, the algorithm can offer substantial savings in communication and computation.
In contrast, we present an approach that does not change the structure of the interference graph.
Typically, machine-related constraints are mapped onto the structure of the interference graph.
The register assignment problem is equivalent to the well-known coloring of an interference graph.
Given the interference graph (not necessarily complete), a communication graph is designed so that players exchange only their required information.
An interference graph illustrates the partially-coupled cost functions, i.e., the asymmetric strategic interaction and information requirements.
Exploiting the interval graph properties of the interference graph, we derive a list-coloring algorithm that allows us to generate optimum solutions even for large basic blocks.
(3) A maximum weight independent set of vertices of the multicast interference graph is selected.
In the third phase, an unfavorable schedule is filtered to incorporate an arbitrary interference graph.
Figure 1 Illustration of an interference graph G with six nodes and three channels.
As illustrated in Fig. 2, we construct the interference graph for the resource usage relationships.
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