DocumentCode
605849
Title
Reduced complexity analysis for ML MIMO systems
Author
Jothikumar, R.
Author_Institution
Dept. of Electron. & Commun. Eng., Pondicherry Eng. Coll., Puducherry, India
fYear
2013
fDate
25-26 March 2013
Firstpage
390
Lastpage
393
Abstract
In this paper, we propose an uncomplicated Maximum Likelihood (ML) metric along with the breadth first tree search algorithm, to reduce the number of operations required and number of nodes to be processed while decoding the transmitted symbols of MIMO (Multiple Input Multiple Output) systems. Using the similarity property of the QAM (Quadrature Amplitude Modulation) the complexity of the system is reduced without compromising the performance.
Keywords
MIMO communication; decoding; quadrature amplitude modulation; tree searching; ML MIMO systems; QAM; breadth first tree search algorithm; decoding; quadrature amplitude modulation; reduced complexity analysis; transmitted symbols; uncomplicated maximum likelihood metric; Bit error rate; Complexity theory; Detectors; MIMO; Quadrature amplitude modulation; Vectors; Breadth first tree search algorithm; MIMO; ML; QAM;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
Conference_Location
Tirunelveli
Print_ISBN
978-1-4673-5037-2
Type
conf
DOI
10.1109/ICE-CCN.2013.6528529
Filename
6528529
Link To Document