MIMO Transceivers With Decision Feedback and Bit Loading: Theory and Optimization

This paper considers MIMO transceivers with linear precoders and decision feedback equalizers (DFEs), with bit allocation at the transmitter. Zero-forcing (ZF) is assumed. Considered first is the minimization of transmitted power, for a given total bit rate and a specified set of error probabilities...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 58; no. 3; pp. 1334 - 1346
Main Authors: Ching-Chih Weng, Chun-Yang Chen, Vaidyanathan, P.P.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.03.2010
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Allocations
Applied sciences
BER optimization
bit allocation
Bit rate
decision feed-back equalizers
Decision feedback equalizers
Design optimization
Detection, estimation, filtering, equalization, prediction
Equalizers
Error probability
Exact sciences and technology
Feedback
generalized triangular decomposition
Information, signal and communications theory
limited feedback
Matrix decomposition
MIMO
MIMO transceivers
Minimization
Miscellaneous
Optimization
Permissible error
Quadrature amplitude modulation
Scholarships
Signal and communications theory
Signal processing
Signal, noise
Studies
Symbols
Telecommunications and information theory
Transceivers
Transmitters
MIMO system
generalized triangular decomposition
Error probability
Bit error rate
Flow rate regulation
Information rate
Teletraffic
limited feedback
Decision feedback equalizers
MIMO transceivers
Information transmission
Optimization
decision feed-back equalizers
Transceiver
Bit allocation
Optimal allocation
Traffic management
Optimal solution
Traffic control
Signal processing
Geometrical theory of diffraction
BER optimization
Service quality
Design for environment
ISSN:1053-587X, 1941-0476
Online Access:Get full text
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Summary:This paper considers MIMO transceivers with linear precoders and decision feedback equalizers (DFEs), with bit allocation at the transmitter. Zero-forcing (ZF) is assumed. Considered first is the minimization of transmitted power, for a given total bit rate and a specified set of error probabilities for the symbol streams. The precoder and DFE matrices are optimized jointly with bit allocation. It is shown that the generalized triangular decomposition (GTD) introduced by Jiang, Li, and Hager offers an optimal family of solutions. The optimal linear transceiver (which has a linear equalizer rather than a DFE) with optimal bit allocation is a member of this family. This shows formally that, under optimal bit allocation, linear and DFE transceivers achieve the same minimum power. The DFE transceiver using the geometric mean decomposition (GMD) is another member of this optimal family, and is such that optimal bit allocation yields identical bits for all symbol streams-no bit allocation is necessary-when the specified error probabilities are identical for all streams. The QR-based system used in VBLAST is yet another member of the optimal family and is particularly well-suited when limited feedback is allowed from receiver to transmitter. Two other optimization problems are then considered: (a) minimization of power for specified set of bit rates and error probabilities (the QoS problem), and (b) maximization of bit rate for fixed set of error probabilities and power. It is shown in both cases that the GTD yields an optimal family of solutions.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2009.2033311