Computer Science – Information Theory
Scientific paper
2011-02-14
Computer Science
Information Theory
Scientific paper
The paper establishes the capacity region of the Gaussian interference channel with many transmitter-receiver pairs constrained to use point-to-point codes. The capacity region is shown to be strictly larger in general than the achievable rate regions when treating interference as noise, using successive interference cancellation decoding, and using joint decoding. The gains in coverage and achievable rate using the optimal decoder are analyzed in terms of ensemble averages using stochastic geometry. In a spatial network where the nodes are distributed according to a Poisson point process and the channel path loss exponent is $\beta > 2$, it is shown that the density of users that can be supported by treating interference as noise can scale no faster than $B^{2/\beta}$ as the bandwidth $B$ grows, while the density of users can scale linearly with $B$ under optimal decoding.
Baccelli Francois
El Gamal Abbas
Tse David
No associations
LandOfFree
Interference Networks with Point-to-Point Codes 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 Interference Networks with Point-to-Point Codes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Interference Networks with Point-to-Point Codes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-216856