Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms 2012
DOI: 10.1137/1.9781611973099.35
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Linear Index Coding via Semidefinite Programming

Abstract: In the index coding problem, introduced by Birk and Kol (INFOCOM, 1998), the goal is to broadcast an n bit word to n receivers (one bit per receiver), where the receivers have side information represented by a graph G. The objective is to minimize the length of a codeword sent to all receivers which allows each receiver to learn its bit. For linear index coding, the minimum possible length is known to be equal to a graph parameter called minrank (Bar-Yossef et al., FOCS, 2006).We show a polynomial time algori… Show more

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Cited by 12 publications
(5 citation statements)
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References 29 publications
(33 reference statements)
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“…Note that the quantity 1 R can be interpreted as the average number of time slots required for all the destinations to get a message from S. In much of the index coding literature, the minimum value of 1 R over the set of all achievable rates -or equivalently, the reciprocal of the symmetric capacity -is the primary object of study and is often denoted as β (e.g. [17,23,24,25,26]). Indeed, in these works, the index coding problem is formulated as one where the goal is to minimize β, which is equivalent to determining the symmetric capacity of the problem.…”
Section: Symmetric Capacitymentioning
confidence: 99%
See 1 more Smart Citation
“…Note that the quantity 1 R can be interpreted as the average number of time slots required for all the destinations to get a message from S. In much of the index coding literature, the minimum value of 1 R over the set of all achievable rates -or equivalently, the reciprocal of the symmetric capacity -is the primary object of study and is often denoted as β (e.g. [17,23,24,25,26]). Indeed, in these works, the index coding problem is formulated as one where the goal is to minimize β, which is equivalent to determining the symmetric capacity of the problem.…”
Section: Symmetric Capacitymentioning
confidence: 99%
“…It was recognized in [2,31] that the reciprocal of the symmetric rate achievable by the optimal scalar linear code over field F is equal to the minrank of the side information graph evaluated over F 7 . Algorithms for finding or approximating the minrank function are proposed in [32] and [23]. Haviv and Langberg in [24] investigated the minranks of random digraphs.…”
Section: Insufficiency Of Linear Codes For Multiple Unicast Index Codingmentioning
confidence: 99%
“…The problem of delay minimization in IDNC for erasure free channels have been studied in the literature under the name of index coding (IC), introduced by Birk and Kol [77] previously and extensively studied in [78,79,80,81,82,83,84,85,86].…”
Section: Motivation Of Instantly Decodable Network Codingmentioning
confidence: 99%
“…On one hand, people focus on characterising the transmission efficiency performance limit of the IC problem: The work in tries to approximate the broadcast capacity of the IC problem, and the work in identifies the side information graphs whose optimal IC can be found efficiently. On the other hand, in order to be applied into practical systems, some efficient sub‐optimal algorithms based on certain constructed graphs are proposed . There are also works on reducing the computation burden, which consequently reduces energy consumption at transmitters or receivers, represented by the sparse IC problem , and the binary‐IC problem where the finite field size is restricted to be two .…”
Section: Cooperative Strategies For Wireless Relay Channelsmentioning
confidence: 99%