IJCCE 2015 Vol.4(5): 309-317 ISSN: 2010-3743
DOI: 10.17706/IJCCE.2015.4.5.309-317
DOI: 10.17706/IJCCE.2015.4.5.309-317
M-QAM BER Analysis of ZF MIMO Transmissions with Stochastic Interference Model for LTE
Albert Mráz, László Pap
Abstract—This work provides an exact analytical method for the calculation of the bit error rate for
MIMO-ZF transmission, assuming arbitrary M level quadrature amplitude modulation, to substitute the
existing approximating solutions in the literature in the presence of additive white Gaussian noise. The
authors have extended the calculations with a 3GPP LTE specified spatial correlation model in order to get
realistic performance results and a usable tool in a realistic standardized mobile system. In addition, the bit
error rate calculation method has been completed by a stochastic interference model, which influences the
received interference energy by several different parameters, which will be assumed as random variables in
this work. The interference model can be considered flexible in the sense that different random
distributions can be defined for the implied parameters. In this work, the authors provide analytic bit error
rate calculation results applying the mentioned stochastic interference model according to a frequency
hopping scenario.
Index Terms—BER, MIMO, stochastic interference model, zero forcing.
The authors are with the Department of Networked Systems and Services, Budapest University of Technology and Economics (BME), H-1117 Budapest, Hungary.
Index Terms—BER, MIMO, stochastic interference model, zero forcing.
The authors are with the Department of Networked Systems and Services, Budapest University of Technology and Economics (BME), H-1117 Budapest, Hungary.
Cite:Albert Mráz, László Pap, "M-QAM BER Analysis of ZF MIMO Transmissions with Stochastic Interference Model for LTE," International Journal of Computer and Communication Engineering vol. 4, no. 5, pp. 309-317, 2015.
General Information
ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
DOI: 10.17706/IJCCE
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: INSPEC, CNKI, Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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