Transition Matrix Monte Carlo technique for outage probability estimation in MIMO channels

Author

Wijesinghe, P. ; Gunawardana, U. ; Liyanapathirana, R.

Author_Institution

Sch. of Eng., Univ. of Western Sydney, Sydney, NSW, Australia

fYear

2011

fDate

Jan. 31 2011-Feb. 3 2011

Firstpage

130

Lastpage

135

Abstract

We propose an algorithm for fast estimation of capacity and outage probability of multiple-input multiple-output (MIMO) fading Channels. The algorithm is based on a biased Monte Carlo method known as Transition Matrix Monte Carlo (TMMC) technique, which is a derivative of Multicanonical Monte Carlo (MMC) methods. The proposed algorithm can estimate probabilities in the order of 10^-12 using a sample size of 4 × 10⁵, in a MIMO system operating over Rayleigh fading channels. This elaborates the potential of the MMC family of simulation techniques for efficient simulation of fading communication systems.

Keywords

MIMO communication; Monte Carlo methods; fading channels; probability; MIMO channels; MIMO fading channels; MIMO system; Rayleigh fading channels; biased Monte Carlo method; fading communication systems; fast estimation; multicanonical Monte Carlo method; multiple-input multiple-output fading channels; outage probability estimation; transition matrix Monte Carlo technique; Capacity planning; Estimation; Fading; Histograms; MIMO; Markov processes; Monte Carlo methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications Theory Workshop (AusCTW), 2011 Australian

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4244-9714-0

Type

conf

DOI

10.1109/AUSCTW.2011.5728750

Filename

5728750