On the Capacity of the Discrete Memoryless Broadcast Channel with Feedback

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Submitted to the IEEE Transactions on Information Theory

Scientific paper

A coding scheme for the discrete memoryless broadcast channel with {noiseless, noisy, generalized} feedback is proposed, and the associated achievable region derived. The scheme is based on a block-Markov strategy combining the Marton scheme and a lossy version of the Gray-Wyner scheme with side-information, where in each block the transmitter sends fresh data and update information that allows the receivers to improve the channel outputs observed in the previous block. The region is evaluated for two specific broadcast channels : A generalization of Dueck's channel, and a noisy version of Blackwell's channel. With noiseless feedback, the region is shown to exceed the corresponding no-feedback capacity region in both cases, and for the former channel also yields the noiseless-feedback capacity region. A simple continuity argument verifies an improvement over the no-feedback capacity region for both channels, in the limit of low feedback noise.

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

On the Capacity of the Discrete Memoryless Broadcast Channel with Feedback 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 On the Capacity of the Discrete Memoryless Broadcast Channel with Feedback, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the Capacity of the Discrete Memoryless Broadcast Channel with Feedback will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-611644

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