Name
Abstract | ||
|---|---|---|
The generalized deterministic models recently proposed by Niesen and Maddah-Ali [1] successfully capture real-interference alignment as observed in Gaussian models. Simpler deterministic models, like ADT models [2], cannot demonstrate this phenomenon because they are limited in the set of channel gains they can model. This paper reinterprets the Niesen and Maddah-Ali models through the lens of carry-free operations. We further explore these carry-free models by considering i.i.d. unknown fading networks. In the unknown fading context, a carry-free model can be further simplified to a max-superposition model, where signals are superposed by a nonlinear max operation. Unlike in relay-networks with known fading and linear superposition, we find that decode-and-forward can perform arbitrarily better than compress-and-forward in max-superposition relay networks with unknown fading. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISIT.2012.6283634 | ISIT |
Keywords | Field | DocType |
max-superposition relay networks,gaussian channels,relay-networks,fading superposition,unknown fading networks,decode-and-forward,carry-free models,channel gains,compress-and-forward,real-interference alignment,max-superposition model,nonlinear max operation,gaussian models,carry-free operations,linear superposition,generalized deterministic models,interference (signal),interference,fading,information theory,mimo,transmitters,polynomials | Discrete mathematics,Superposition principle,Nonlinear system,Computer science,Fading,Communication channel,Algorithm,Theoretical computer science,Gaussian,Through-the-lens metering,Fading distribution,Relay | Conference |
ISSN | ISBN | Citations |
2157-8095 E-ISBN : 978-1-4673-2578-3 | 978-1-4673-2578-3 | 2 |
PageRank | References | Authors |
0.38 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Se Yong Park | 1 | 48 | 21.78 |
| Gireeja Ranade | 2 | 88 | 14.45 |
| A. Sahai | 3 | 1888 | 198.31 |