Name
Abstract | ||
|---|---|---|
In this paper, an analysis of an input distribution that achieves the secrecy capacity of a general degraded additive noise wiretap channel is presented. In particular, using convex optimization methods, an input distribution that achieves the secrecy capacity is characterized by conditions expressed in terms of integral equations. The new conditions are used to study the structure of the optimal input distribution for three different additive noise cases: vector Gaussian; scalar Cauchy; and scalar exponential. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ITW.2018.8613368 | 2018 IEEE Information Theory Workshop (ITW) |
Keywords | Field | DocType |
optimal inputs,degraded wiretap channels,secrecy capacity,general degraded additive noise wiretap channel,convex optimization methods,optimal input distribution,additive noise cases,additive noise cases | Kernel (linear algebra),Discrete mathematics,Applied mathematics,Computer science,Scalar (physics),Integral equation,Cauchy distribution,Convex function,Gaussian,Convex optimization,Gaussian noise | Conference |
ISSN | ISBN | Citations |
2475-420X | 978-1-5386-3600-8 | 0 |
PageRank | References | Authors |
0.34 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex Dytso | 1 | 45 | 20.03 |
| Malcolm A. Egan | 2 | 107 | 11.09 |
| Samir Medina Perlaza | 3 | 722 | 48.69 |
| H. V. Poor | 4 | 25411 | 1951.66 |
| Shlomo Shamai Shitz | 5 | 3 | 3.14 |