Performance Analysis of Closed-Loop MIMO Precoder Based on the Probability of Minimum Distance

Linear closed-loop MIMO precoders are attractive owing to their scalability. They can significantly improve the received signal via optimization of pertinent criterion. The solution of max-d min precoding is optimal for 4-QAM as it utilizes the channel state information at the transmitter (CSIT) to...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 14; no. 4; pp. 1849 - 1857
Main Authors: Oyedapo, Olufemi James, Vrigneau, Baptiste, Vauzelle, Rodolphe, Boeglen, Herve
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
Bit error rate
capacity and BER approximation
Closed loop with CSI
Computer Science
Lattices
MIMO
MIMO precoding
minimum distance
Modulation
Mutual information
Probability
Probability density function
Signal and Image Processing
Signal to noise ratio
MIMO precoding
Closed loop with CSI
minimum distance
capacity and BER approximation
probability
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Summary:Linear closed-loop MIMO precoders are attractive owing to their scalability. They can significantly improve the received signal via optimization of pertinent criterion. The solution of max-d min precoding is optimal for 4-QAM as it utilizes the channel state information at the transmitter (CSIT) to minimize the system error probability making it very attractive. However, as M increases the solution which is dependent on channel angle gets complex, due to its multi-form precoder search. Motivated by a requirement to provide MIMO system evaluation parameters to upper layer protocol(s) as a function of precoder optimization criterion, we propose deriving a general expression for the probability density function (pdf) of max-d min . Our approach applies numerical approximations to derive the system bit error rate (BER) and ergodic capacity for any values of M, n r , and n t , and with b = 2 data streams. Results show that the performance of our numerical approximation approach is close to the analytical simulation method.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2014.2374593