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Path gain algebraic formulation for the scalar linear network coding problem
Published in
2010
Volume: 56
   
Issue: 9
Pages: 4520 - 4531
Abstract
In the algebraic view, the solution to a network coding problem is seen as a variety specified by a system of polynomial equations typically derived by using edge-to-edge gains as variables. The output from each sink is equated to its demand to obtain polynomial equations. In this paper, we propose a method to derive the polynomial equations using source-to-sink path gains as the variables. In the path gain formulation, we show that linear and quadratic equations suffice; therefore, network coding becomes equivalent to a system of polynomial equations of maximum degree 2. We present algorithms for generating the equations in the path gains and for converting path gain solutions to edge-to-edge gain solutions. Because of the low degree, simplification is readily possible for the system of equations obtained using path gains. Using small-sized network coding problems, we show that the path gain approach results in simpler equations and determines solvability of the problem in certain cases. On a larger network (with 87 nodes and 161 edges), we show how the path gain approach continues to provide deterministic solutions to some network coding problems. © 2010 IEEE.
About the journal
JournalIEEE Transactions on Information Theory
ISSN00189448
Open AccessYes
Concepts (15)
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    EDGE-TO-EDGE
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    Larger networks
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    Linear network coding
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    LOW DEGREE
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    MAXIMUM DEGREE
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    Network coding
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    POLYNOMIAL EQUATION
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    QUADRATIC EQUATIONS
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    SCALAR LINEAR NETWORK CODING
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    SOURCE TO SINKS
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    System of equations
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    SYSTEM OF POLYNOMIAL EQUATIONS
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    Linear networks
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    Polynomials
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    Information theory