DocumentCode :
706001
Title :
MIMO identical eigenmode transmission system (IETS) — A channel decomposition perspective
Author :
Shakir, M. Zeeshan ; Durrani, T.S.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
916
Lastpage :
920
Abstract :
In the past few years considerable attention has been given to the design of multiple-input multiple-output (MIMO) eigenmode transmission systems (EMTS). This paper presents an in-depth analysis of a new MIMO eigenmode transmission strategy. The non-linear decomposition technique called geometric mean decomposition (GMD) is employed for the formation of eigenmodes over MIMO flat-fading channel. Exploiting GMD technique, identical, parallel and independent transmission pipes are created for data transmission at higher rate. The systems based on such decomposition technique are referred to as MIMO identical eigenmode transmission system (IETS). The comparative analysis of the MIMO transceiver design exploiting non-linear and linear decomposition techniques for variable constellation is presented in this paper. The new transmission strategy is tested in combination with the Vertical Bell Labs Layered Space Time (V-BLAST) decoding scheme using different number of antennas on both sides of the communication link. The analysis is supported by various simulation results.
Keywords :
MIMO communication; antenna arrays; data communication; decoding; decomposition; eigenvalues and eigenfunctions; fading channels; radio transceivers; space-time codes; GMD technique; IETS; MIMO eigenmode transmission strategy; MIMO flat-fading channel; MIMO identical eigenmode transmission system; MIMO transceiver design; V-BLAST decoding scheme; Vertical Bell Labs layered space time decoding scheme; antenna; channel decomposition perspective; communication link; data transmission; geometric mean decomposition; multiple-input multiple-output eigenmode transmission systems; nonlinear decomposition technique; transmission pipes; Bit error rate; MIMO; Matrix decomposition; Receivers; Signal to noise ratio; Transceivers; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
Type :
conf
Filename :
7098937
Link To Document :
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