The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Memfokuskan pada korelasi masa saluran komunikasi sebenar, algoritma pengkuantitian saluran berdasarkan pengkuantitian vektor keadaan terhingga (FSVQ) dicadangkan. Mula-mula saluran dibahagikan kepada keadaan terhingga, kemudian buku kod yang sepadan dengan setiap keadaan dibina, yang digunakan untuk mengukur saluran yang dipindahkan dari keadaan yang sepadan. Selanjutnya, fungsi peralihan keadaan direka untuk memastikan penyegerakan antara pemancar dan penerima. Algoritma yang dicadangkan boleh mencapai prestasi yang lebih baik dengan beban maklum balas yang sama berbanding dengan pengkuantiti saluran tanpa ingatan klasik tanpa mengambil kira pengaruh korelasi masa. Keputusan simulasi mengesahkan keberkesanan algoritma yang dicadangkan.
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Salinan
Zhenjie FENG, Taiyi ZHANG, Erlin ZENG, "Research on Channel Quantization Algorithm of Time Correlated Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 10, pp. 3063-3066, October 2008, doi: 10.1093/ietfec/e91-a.10.3063.
Abstract: Focusing on time correlation of real communication channels, a channel quantization algorithm based on finite state vector quantization (FSVQ) is proposed. Firstly channels are partitioned into finite states, then codebooks corresponding to each state are constructed, which are used to quantize channels transferred from corresponding states. Further, the state transition function is designed to ensure the synchronization between transmitter and receiver. The proposed algorithm can achieve improved performance with the same feedback load compared with classical memoryless channel quantizer without consideration of the influence of time correlation. Simulation results verify the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.10.3063/_p
Salinan
@ARTICLE{e91-a_10_3063,
author={Zhenjie FENG, Taiyi ZHANG, Erlin ZENG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Research on Channel Quantization Algorithm of Time Correlated Channels},
year={2008},
volume={E91-A},
number={10},
pages={3063-3066},
abstract={Focusing on time correlation of real communication channels, a channel quantization algorithm based on finite state vector quantization (FSVQ) is proposed. Firstly channels are partitioned into finite states, then codebooks corresponding to each state are constructed, which are used to quantize channels transferred from corresponding states. Further, the state transition function is designed to ensure the synchronization between transmitter and receiver. The proposed algorithm can achieve improved performance with the same feedback load compared with classical memoryless channel quantizer without consideration of the influence of time correlation. Simulation results verify the effectiveness of the proposed algorithm.},
keywords={},
doi={10.1093/ietfec/e91-a.10.3063},
ISSN={1745-1337},
month={October},}
Salinan
TY - JOUR
TI - Research on Channel Quantization Algorithm of Time Correlated Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3063
EP - 3066
AU - Zhenjie FENG
AU - Taiyi ZHANG
AU - Erlin ZENG
PY - 2008
DO - 10.1093/ietfec/e91-a.10.3063
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2008
AB - Focusing on time correlation of real communication channels, a channel quantization algorithm based on finite state vector quantization (FSVQ) is proposed. Firstly channels are partitioned into finite states, then codebooks corresponding to each state are constructed, which are used to quantize channels transferred from corresponding states. Further, the state transition function is designed to ensure the synchronization between transmitter and receiver. The proposed algorithm can achieve improved performance with the same feedback load compared with classical memoryless channel quantizer without consideration of the influence of time correlation. Simulation results verify the effectiveness of the proposed algorithm.
ER -