An Equivalence Between Network Coding and Index Coding
Michelle Effros, Salim El Rouayheb, Michael L. Langberg
Abstract
Michelle Effros, Salim El Rouayheb, Michael L. Langberg
Abstract
We show that the network coding and index coding problems are equivalent. This equivalence holds in the general setting which includes linear and nonlinear codes. Specifically, we present a reduction that maps a network coding instance to an index coding instance while preserving feasibility, i.e., the network coding instance has a feasible solution if and only if the corresponding index coding instance is feasible. In addition, we show that one can determine the capacity region of a given network coding instance with colocated sources by studying the capacity region of a corresponding index coding instance. Previous connections between network and index coding were restricted to the linear case.
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We show that the network coding and index coding problems are equivalent. This equivalence holds in the general setting which includes linear and nonlinear codes. Specifically, we present a reduction that maps a network coding instance to an index coding instance while preserving feasibility, i.e., the network coding instance has a feasible solution if and only if the corresponding index coding instance is feasible. In addition, we show that one can determine the capacity region of a given network coding instance with colocated sources by studying the capacity region of a corresponding index coding instance. Previous connections between network and index coding were restricted to the linear case.
Key concepts: Linear network coding, Shannon–Fano coding, Variable-length code, Coding (social sciences), Coding tree unit, Tunstall coding, Computer science, Context-adaptive binary arithmetic coding