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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| Published in: | IEEE transactions on signal processing Vol. 58; no. 3; pp. 1334 - 1346 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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New York, NY
IEEE
01.03.2010
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1053-587X, 1941-0476 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Ching-Chih Weng Vaidyanathan, P.P. Chun-Yang Chen |
| Author_xml | – sequence: 1 surname: Ching-Chih Weng fullname: Ching-Chih Weng organization: California Inst. of Technol. (Caltech), Pasadena, CA, USA – sequence: 2 surname: Chun-Yang Chen fullname: Chun-Yang Chen organization: California Inst. of Technol. (Caltech), Pasadena, CA, USA – sequence: 3 givenname: P.P. surname: Vaidyanathan fullname: Vaidyanathan, P.P. organization: California Inst. of Technol. (Caltech), Pasadena, CA, USA |
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| Keywords | 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 |
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| Snippet | This paper considers MIMO transceivers with linear precoders and decision feedback equalizers (DFEs), with bit allocation at the transmitter. Zero-forcing (ZF)... |
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| SubjectTerms | 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 |
| Title | MIMO Transceivers With Decision Feedback and Bit Loading: Theory and Optimization |
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