On the Capacity of a Class of Cognitive Z-interference Channels

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, 5 figures, submitted to ICC2011

Scientific paper

We study a special class of the cognitive radio channel in which the receiver of the cognitive pair does not suffer interference from the primary user. Previously developed general encoding schemes for this channel are complex as they attempt to cope with arbitrary channel conditions, which leads to rate regions that are difficult to evaluate. The focus of our work is to derive simple rate regions that are easily computable, thereby providing more insights into achievable rates and good coding strategies under different channel conditions. We first present several explicit achievable regions for the general discrete memoryless case. We also present an improved outer bound on the capacity region for the case of high interference. We then extend these regions to Gaussian channels. With a simple outer bound we establish a new capacity region in the high-interference regime. Lastly, we provide numerical comparisons between the derived achievable rate regions and the outer bounds.

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 a Class of Cognitive Z-interference 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 On the Capacity of a Class of Cognitive Z-interference Channels, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the Capacity of a Class of Cognitive Z-interference Channels will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-695437

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