Capacity bounds and stochastic resonance for binary input binary output channels

Author

Moskowitz, Ira S. ; Cotae, Paul ; Safier, Pedro N. ; Kang, Daniel L.

Author_Institution

Center for High Assurance Comput. Syst.-5540, Naval Res. Lab., Washington, DC, USA

fYear

2012

fDate

11-13 Jan. 2012

Firstpage

61

Lastpage

66

Abstract

In this paper, we discuss the threshold based stochastic resonance behavior of binary input, binary output discrete memoryless channels. We follow the basic model of Chapeau-Blondeau where he showed how the addition of external Gaussian noise could enhance channel capacity, thus providing an optimum channel capacity depending on both the threshold level and noise power of the system. In order to easily approximate channel capacity behavior, we use capacity bounds and approximations.

Keywords

Gaussian noise; MIMO communication; channel capacity; resonance; stochastic processes; wireless channels; Chapeau-Blondeau model; binary input binary output discrete memoryless channel; capacity approximation; capacity bound; external Gaussian noise; noise power; optimum channel capacity; threshold based stochastic resonance behavior; Approximation methods; Channel capacity; Neodymium; Noise; Random variables; Stochastic resonance; Bioinformatics and Biocomputing; Computer and Network Security; Medical Applications and e-healthcare; Systems Security and Trust;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communications and Applications Conference (ComComAp), 2012

Conference_Location

Hong Kong

Print_ISBN

978-1-4577-1717-8

Type

conf

DOI

10.1109/ComComAp.2012.6154003

Filename

6154003