Large deviations analysis of SSMA communication systems with spreading sequences of Markov chains

Author

Fujisaki, Hiroshi

Author_Institution

Grad. Sch. of Natural Sci. & Technol., Kanazawa Univ., Ishikawa

fYear

2008

fDate

6-11 July 2008

Firstpage

1383

Lastpage

1387

Abstract

In this report we consider asynchronous spread spectrum multiple access (SSMA) communication systems with spreading sequences of Markov chains. We show that, given phase shifts and time delays, the empirical mean of the multiple access interference (MAI) for such systems satisfies the conditional large deviation principle (LDP) with the convex good rate function. By refinement of the large deviations analysis, we obtain exact asymptotics of bit error probabilities in such systems.

Keywords

Markov processes; error statistics; interference (signal); multi-access systems; spread spectrum communication; Markov chains; SSMA communication systems; bit error probabilities; large deviations analysis; multiple access interference; phase shifts; spread spectrum multiple access communication systems; spreading sequences; time delays; Autocorrelation; Chaotic communication; Communication systems; Delay effects; Error probability; Gaussian distribution; Multiple access interference; Random variables; Signal to noise ratio; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2008. ISIT 2008. IEEE International Symposium on

Conference_Location

Toronto, ON

Print_ISBN

978-1-4244-2256-2

Electronic_ISBN

978-1-4244-2257-9

Type

conf

DOI

10.1109/ISIT.2008.4595214

Filename

4595214