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Optimal Scalar Linear Index Codes for One-Sided Neighboring Side-Information Problems (1605.08998v2)

Published 29 May 2016 in cs.IT and math.IT

Abstract: The capacity of symmetric instance of the multiple unicast index coding problem with neighboring antidotes (side-information) with number of messages equal to the number of receivers was given by Maleki \textit{et al.} In this paper, we construct matrices of size $ m \times n (m \geq n)$ over $F_q$ such that any $n$ adjacent rows of the matrix are linearly independent. By using such matrices, we give an optimal scalar linear index codes over $F_q$ for the symmetric one-sided antidote problems considered by Maleki \textit{et al.} for any given number of messages and one-sided antidotes. The constructed codes are independent of field size and hence works over every field.

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