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Dan DENG, Jin-kang ZHU, Ling QIU, "Linear Dispersion Codes with Limited Feedback" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 7, pp. 1876-1879, July 2007, doi:10.1093/ietcom/e90-b.7.1876.
Abstract:LDCs system with finite-rate error-free feedback is proposed in this letter. The optimal transmission codeword is selected at the receiver and the codeword index is sent to the transmitter. A simple random search algorithm is introduced for codebook generation. Moreover, the max-min singular value criterion is adopted for codeword selection. Simulation results showed that, with only 3-4 feedback bits, the low-complexity Zero-Forcing receiver can approach the Maximum-Likelihood (ML) performance.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.7.1876/_p

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@ARTICLE{e90-b_7_1876,
author={Dan DENG, Jin-kang ZHU, Ling QIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Linear Dispersion Codes with Limited Feedback},
year={2007},
volume={E90-B},
number={7},
pages={1876-1879},
abstract={LDCs system with finite-rate error-free feedback is proposed in this letter. The optimal transmission codeword is selected at the receiver and the codeword index is sent to the transmitter. A simple random search algorithm is introduced for codebook generation. Moreover, the max-min singular value criterion is adopted for codeword selection. Simulation results showed that, with only 3-4 feedback bits, the low-complexity Zero-Forcing receiver can approach the Maximum-Likelihood (ML) performance.},
keywords={},
doi={10.1093/ietcom/e90-b.7.1876},
ISSN={1745-1345},
month={July},}

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TY - JOUR
TI - Linear Dispersion Codes with Limited Feedback
T2 - IEICE TRANSACTIONS on Communications
SP - 1876
EP - 1879
AU - Dan DENG
AU - Jin-kang ZHU
AU - Ling QIU
PY - 2007
DO -10.1093/ietcom/e90-b.7.1876
JO - IEICE TRANSACTIONS on Communications
SN -1745-1345
VL - E90-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2007
AB -LDCs system with finite-rate error-free feedback is proposed in this letter. The optimal transmission codeword is selected at the receiver and the codeword index is sent to the transmitter. A simple random search algorithm is introduced for codebook generation. Moreover, the max-min singular value criterion is adopted for codeword selection. Simulation results showed that, with only 3-4 feedback bits, the low-complexity Zero-Forcing receiver can approach the Maximum-Likelihood (ML) performance.
ER -