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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shanmugam, K. Dimakis, A.G. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA (Shanmugam, K.; Dimakis, A.G.) |
| Abstract | We establish a duality result between linear index coding and Locally Repairable Codes (LRCs). Specifically, we show that a natural extension of LRCs we call Generalized Locally Repairable Codes (GLCRs) are exactly dual to linear index codes. In a GLRC, every node is decodable from a specific set of other nodes and these sets induce a recoverability directed graph. We show that the dual linear subspace of a GLRC is a solution to an index coding instance where the side information graph is this GLRC recoverability graph. We show that the GLRC rate is equivalent to the complementary index coding rate, i.e. the number of transmissions saved by coding. Our second result uses this duality to establish a new upper bound for the multiple unicast network coding problem. In multiple unicast network coding, we are given a directed acyclic graph and r sources that want to send independent messages to r corresponding destinations. Our new upper bound is efficiently computable and relies on a strong approximation result for complementary index coding. We believe that our bound could lead to an approximation guarantee for multiple unicast network coding if a plausible connection we state is verified. |
| Starting Page | 296 |
| Ending Page | 300 |
| File Size | 928951 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479951864 |
| ISSN | 21578117 |
| DOI | 10.1109/ISIT.2014.6874842 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Indexes Unicast Channel coding Network coding Vectors |
| Content Type | Text |
| Resource Type | Article |
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