Title :
Impact of Channel Models on Adaptive M-QAM Modulation for MIMO Systems
Author :
Wood, Leslie ; Hodgkiss, William S.
Author_Institution :
Univ. of California at San Diego, La Jolla
fDate :
March 31 2008-April 3 2008
Abstract :
In this paper, we examine an adaptively modulated Open Loop MIMO (OL-MIMO) system that uses a modified V-BLAST transmission technique with limited feedback and a Closed Loop MIMO system (CL-MIMO) that employs a waterfilling strategy. The performance of these systems are evaluated using measured MIMO channel matrices and compared with the performance predicted by two analytical models, a link-end correlation-based model known as the Kronecker model and an eigen-based model developed by Weicheselberger [1]. Results show that the Weichselberger model accurately predicts the average channel behavior while the Kronecker model severely underestimates the throughput of the channel at high SNRs.
Keywords :
MIMO communication; adaptive modulation; closed loop systems; eigenvalues and eigenfunctions; error statistics; feedback; matrix algebra; open loop systems; quadrature amplitude modulation; wireless channels; BER; Kronecker model; MIMO channel matrix; V-BLAST transmission; Weichselberger model; adaptive M-QAM modulation; closed loop MIMO system; eigen-based model; feedback; link-end correlation-based model; open loop MIMO system; waterfilling strategy; Adaptive systems; Bit error rate; Closed loop systems; Feedback loop; MIMO; Modulation; Open loop systems; Power system modeling; Predictive models; Solid modeling;
Conference_Titel :
Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1997-5
DOI :
10.1109/WCNC.2008.237