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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ching-Chih Weng Chun-Yang Chen Vaidyanathan, P.P. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA (Ching-Chih Weng; Chun-Yang Chen; Vaidyanathan, P.P.) |
| Abstract | The transceiver optimization problem for MIMO channels has been considered in the past with linear receivers as well as with decision feedback (DFE) receivers. Joint optimization of bit allocation, precoder, and equalizer has in the past been considered only for the linear transceiver (transceiver with linear precoder and linear equalizer). It has also been observed that the use of DFE even without bit allocation in general results in better performance that linear transceivers with bit allocation. This paper provides a general study of this for transceivers with the zero-forcing constraint. It is formally shown that when the bit allocation, precoder, and equalizer are jointly optimized, linear transceivers and transceivers with DFE have identical performance in the sense that transmitted power is identical for a given bit rate and error probability. The developments of this paper are based on the generalized triangular decomposition (GTD) recently introduced by Jiang, Li, and Hager. It will be shown that a broad class of GTD-based systems solve the optimal DFE problem with bit allocation. The special case of a linear transceiver with optimum bit allocation will emerge as one of the many solutions. |
| Starting Page | 1310 |
| Ending Page | 1314 |
| File Size | 259617 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424429400 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.2008.5074630 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Transceivers Bit rate Decision feedback equalizers MIMO Matrix decomposition Error probability Bit error rate Quality of service Additive noise Communication systems MIMO Transceiver Decision Feed-Back BER Optimization Generalized Triangular Decomposition Bit Allocation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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