Index coding: An interference alignment perspective

Hamed Maleki, Viveck Cadambe, Syed Jafar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations


The index coding problem is a multiple unicast wireline communication network where the network is represented by a directed graph having exactly one link with finite capacity (also known as the bottleneck link). There are K independent sources which share the ingress of this bottleneck link. Correspondingly there are K destinations which are on the receiving end of the bottleneck link, with each destination intending to decode the message of one (unique) corresponding source. Each destination can have apriori side-information of a (different) subset of the original source messages. In this paper, we study the capacity of such a network from the perspective of interference alignment, and derive information theoretically optimal schemes for a class of networks. In our first main result, we identify the set of graphs where each user can achieve half rate in the index coding problem. In a second result, we derive the capacity for a class of symmetric index coding networks.

Original languageEnglish (US)
Title of host publication2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012
Number of pages5
StatePublished - 2012
Event2012 IEEE International Symposium on Information Theory, ISIT 2012 - Cambridge, MA, United States
Duration: Jul 1 2012Jul 6 2012

Publication series

NameIEEE International Symposium on Information Theory - Proceedings


Other2012 IEEE International Symposium on Information Theory, ISIT 2012
Country/TerritoryUnited States
CityCambridge, MA

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics


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