Computer Science – Information Theory
Scientific paper
2010-09-16
Computer Science
Information Theory
submitted to IEEE International Conference on Communications ICC2011, Kyoto, Japan
Scientific paper
The cognitive interference channel (C-IFC) consists of a classical two-user interference channel in which the message of one user (the "primary" user) is non-causally available at the transmitter of the other user (the "cognitive" user). We obtain the capacity of the semi-deterministic C-IFC: a discrete memoryless C-IFC in which the cognitive receiver output is a noise-less deterministic function of the channel inputs. We then use the insights obtained from the capacity-achieving scheme for the semi-deterministic model to derive new, unified and tighter constant gap results for the complex-valued Gaussian C-IFC. We prove: (1) a constant additive gap (difference between inner and outer bounds) of half a bit/sec/Hz per real dimension, of relevance at high SNRs, and (b) a constant multiplicative gap (ratio between outer and inner bounds) of a factor two, of relevance at low SNRs
Devroye Natasha
Rini Stefano
Tuninetti Daniela
No associations
LandOfFree
The Capacity of the Semi-Deterministic Cognitive Interference Channel and its Application to Constant Gap Results for the Gaussian Channel 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 Capacity of the Semi-Deterministic Cognitive Interference Channel and its Application to Constant Gap Results for the Gaussian Channel, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Capacity of the Semi-Deterministic Cognitive Interference Channel and its Application to Constant Gap Results for the Gaussian Channel will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-27124