Sub-optimality of Treating Interference as Noise in the Cellular Uplink

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5 pages, 3 figures, typos corrected

Scientific paper

Despite the simplicity of the scheme of treating interference as noise (TIN), it was shown to be sum-capacity optimal in the Gaussian 2-user interference channel in \cite{ShangKramerChen,MotahariKhandani,AnnapureddyVeeravalli}. In this paper, an interference network consisting of a point-to-point channel interfering with a multiple access channel (MAC) is considered, with focus on the weak interference scenario. Naive TIN in this network is performed by using Gaussian codes at the transmitters, joint decoding at the MAC receiver while treating interference as noise, and single user decoding at the point-to-point receiver while treating both interferers as noise. It is shown that this naive TIN scheme is never optimal in this scenario. In fact, a scheme that combines both time division multiple access and TIN outperforms the naive TIN scheme. An upper bound on the sum-capacity of the given network is also derived.

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

Sub-optimality of Treating Interference as Noise in the Cellular Uplink 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 Sub-optimality of Treating Interference as Noise in the Cellular Uplink, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sub-optimality of Treating Interference as Noise in the Cellular Uplink will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-191801

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