Name
Abstract | ||
|---|---|---|
Recently, an open-loop transmission scheme for multiple-input multiple-output Gaussian channels based on precoded integer-forcing was proposed. The transmitter encodes the data into independent streams, all taken from the same linear code. The coded streams are then linearly precoded using a unitary matrix. At the receiver side, integer-forcing equalization is applied, followed by single-stream decoding. It was shown that this communication architecture achieves capacity up to a finite gap. In the present work we consider precoded integer-forcing for parallel Gaussian channels. We derive tighter bounds for this class of channels, which are related to the minimum product distance figure of merit. We further suggest a practical scheme that is applicable for all transmission rates, where the precoding matrix is capacity-dependent, chosen so as to maximize the achievable rate for a given value of capacity. For example, it is shown that for the case of two and three parallel channels, the scheme universally (for any value of capacity) achieves 94% and 82% of capacity, respectively. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISIT.2014.6875130 | Information Theory |
Keywords | DocType | Citations |
Gaussian channels,matrix algebra,precoding,receivers,transmitters,coded streams,communication architecture,data transmitter encoding,independent streams,integer forcing equalization,linear code,multiple-input multiple-output Gaussian channels,open loop transmission scheme,parallel Gaussian channels,precoded integer forcing,precoded integer forcing performance,precoding matrix,product distance,receiver side,single stream decoding,unitary matrix | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oded Fischler | 1 | 0 | 0.34 |
| Uri Erez | 2 | 1209 | 112.39 |