Multi-way relay based deterministic broadcast with side information: Pair-wise network coding is sum-capacity optimal

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

8 Scopus citations

Abstract

We consider a K user deterministic broadcast channel where the receivers have apriori side information of a set of messages. The (deterministic) broadcast channel defined by the identity function on 0; 1, i.e., all the receivers receive the input bit free-of-noise. The message set is inspired by the multi-way relay channel which has K users communicating through a relay, where each user has an independent message for the remaining K 1 users. The multi-way relay channel can be converted to a broadcast channel with side information if the relay is able to decode all the messages. Thus, in the broadcast set up, there are K(K 1) messages, with K 1 messages intended for each receiver. Each receiver has apriori side information of a (different) set of K1 messages. In this set up, when there are K= 2 users, it is well known that the optimal strategy for sum-capacity is to use network coding, i.e., to send an XOR of the two messages since each receiver can cancel the interfering message using its side information. The main result of this note is an outerbound for the K user version of this channel showing that scheduling users pairwise and using network coding for the scheduled pair is optimal.

Original languageEnglish (US)
Title of host publication2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
DOIs
StatePublished - Nov 12 2012
Event2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 - Princeton, NJ, United States
Duration: Mar 21 2012Mar 23 2012

Publication series

Name2012 46th Annual Conference on Information Sciences and Systems, CISS 2012

Other

Other2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
CountryUnited States
CityPrinceton, NJ
Period3/21/123/23/12

All Science Journal Classification (ASJC) codes

  • Information Systems

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