The Information Flow and Capacity of Channels with Noisy Feedback

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Updated due to an error in Theorem 6 in the previous version. The definition of typical closed-loop encoder is also refined in

Scientific paper

In this paper, we consider some long-standing problems in communication systems with access to noisy feedback. We introduce a new notion, the residual directed information, to capture the effective information flow (i.e. mutual information between the message and the channel outputs) in the forward channel. In light of this new concept, we investigate discrete memoryless channels (DMC) with noisy feedback and prove that the noisy feedback capacity is not achievable by using any typical closed-loop encoder (non-trivially taking feedback information to produce channel inputs). We then show that the residual directed information can be used to characterize the capacity of channels with noisy feedback. Finally, we provide computable bounds on the noisy feedback capacity, which are characterized by the causal conditional directed information.

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

The Information Flow and Capacity of Channels with Noisy 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 The Information Flow and Capacity of Channels with Noisy Feedback, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Information Flow and Capacity of Channels with Noisy Feedback will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-637278

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