Source and Channel Coding for Correlated Sources Over Multiuser Channels

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Revised version

Scientific paper

Source and channel coding over multiuser channels in which receivers have access to correlated source side information is considered. For several multiuser channel models necessary and sufficient conditions for optimal separation of the source and channel codes are obtained. In particular, the multiple access channel, the compound multiple access channel, the interference channel and the two-way channel with correlated sources and correlated receiver side information are considered, and the optimality of separation is shown to hold for certain source and side information structures. Interestingly, the optimal separate source and channel codes identified for these models are not necessarily the optimal codes for the underlying source coding or the channel coding problems. In other words, while separation of the source and channel codes is optimal, the nature of these optimal codes is impacted by the joint design criterion.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Source and Channel Coding for Correlated Sources Over Multiuser Channels does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Source and Channel Coding for Correlated Sources Over Multiuser Channels, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Source and Channel Coding for Correlated Sources Over Multiuser Channels will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-41828

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.