Name
Abstract | ||
|---|---|---|
Recent work demonstrated that for the two-user Gaussian Interference Channel (G-IC) sub-optimal point-to-point codes can outperform optimal (Gaussian) point-to-point codes. However, it is not clear how far from capacity such sub-optimal codes operate. This work demonstrates a family of sub-optimal codes, generated from a mixture of Gaussian and discrete random variables, that is optimal up to an additive gap for the G-IC.The developed tools are of interest on their own and can be used in a variety of channel models. For example, it can be shown that the capacity of the block-asynchronous G-IC where the decoders are prevented from decoding the interfering signals is to within an additive gap of the capacity of the classical G-IC where the receivers are fully synchronized and informed about the interfering codebooks. |
Year | Venue | Field |
|---|---|---|
2015 | 2015 49TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS | Channel models,Random variable,Gaussian random field,Computer science,Electronic engineering,Gaussian,Decoding methods,Additive white Gaussian noise,Gaussian noise,Gaussian interference channel |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex Dytso | 1 | 45 | 20.03 |
| Daniela Tuninetti | 2 | 1090 | 102.82 |
| Natasha Devroye | 3 | 1561 | 160.43 |