SINR, MGF and PEP based BER performance analysis of multi-user MIMO systems

Author

Chawla, Pallvi ; Gupta, Bharat

Author_Institution

Dept. of Electron. & Commun., Jaypee Univ. of Inf. Technol., Solan, India

fYear

2014

fDate

6-8 March 2014

Firstpage

1

Lastpage

6

Abstract

Multi-input multi-output (MIMO) is a 4G Wireless Communication Technique and is supposedly has the most promising reign. Multi-user MIMO has an edge over 4G wireless systems due to their better spectral efficiency, diversity gain and interference suppression. This paper incorporates the moment generating function (MGF) based closed form upper bounds of pair wise error probability (PEP), which are derived for MU-MIMO systems. These upper bounds are then extended for different equalizers like, zero forcing (ZF), minimum mean square error (MMSE) and maximum likelihood (ML). BER expressions are also derived for MU-MIMO system under independent and spatially correlated quasi-static Rayleigh fading channels. Simulation results for upper bounds are drawn and similar performance with the analytical results have been subsume in this paper.

Keywords

4G mobile communication; MIMO communication; Rayleigh channels; correlation methods; diversity reception; error statistics; interference suppression; least mean squares methods; maximum likelihood estimation; multiuser channels; radio spectrum management; radiofrequency interference; 4G wireless communication technique; 4G wireless systems; MGF based BER performance analysis; ML; MMSE; MU-MIMO systems; PEP based BER performance analysis; SINR based BER performance analysis; ZF; closed form upper bounds; diversity gain; independent correlated quasi-static Rayleigh fading channels; interference suppression; maximum likelihood; minimum mean square error; moment generating function; multiuser MIMO systems; pair wise error probability; spatially correlated quasi-static Rayleigh fading channels; spectral efficiency; zero forcing; Bit error rate; Equalizers; Fading; Interference; MIMO; Signal to noise ratio; Vectors; BER; MGF; ML; MMSE; MU-MIMO; PEP; SNR; ZF;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Computational Sciences (RAECS), 2014 Recent Advances in

Conference_Location

Chandigarh

Print_ISBN

978-1-4799-2290-1

Type

conf

DOI

10.1109/RAECS.2014.6799543

Filename

6799543