To accurately evaluate and manage future distributed wireless networks, it is indispensable to fully understand cooperative propagation channels. In this contribution, we propose cascaded multi-keyhole channel models for analyzing cooperative diversity wireless communications. The cascaded Wishart distribution is adopted to investigate the eigenvalue distribution of the multi-keyhole MIMO (multiple input multiple output) channel matrix, and the capacity performance is also presented for the wireless systems over such channels. A diversity order approximation method is proposed for better evaluating the eigenvalue and capacity distributions. The good match of analytical derivations and numerical simulations validates the proposed models and analysis methods. The proposed models can provide an important reference for the optimization and management of cooperative diversity wireless networks.
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Yi ZHOU, Yusheng JI, Weidong XIANG, Sateesh ADDEPALLI, Aihuang GUO, Fuqiang LIU, "Evaluation of Cascaded Multi-Keyhole Channels in Cooperative Diversity Wireless Communications" in IEICE TRANSACTIONS on Communications,
vol. E96-B, no. 1, pp. 223-232, January 2013, doi: 10.1587/transcom.E96.B.223.
Abstract: To accurately evaluate and manage future distributed wireless networks, it is indispensable to fully understand cooperative propagation channels. In this contribution, we propose cascaded multi-keyhole channel models for analyzing cooperative diversity wireless communications. The cascaded Wishart distribution is adopted to investigate the eigenvalue distribution of the multi-keyhole MIMO (multiple input multiple output) channel matrix, and the capacity performance is also presented for the wireless systems over such channels. A diversity order approximation method is proposed for better evaluating the eigenvalue and capacity distributions. The good match of analytical derivations and numerical simulations validates the proposed models and analysis methods. The proposed models can provide an important reference for the optimization and management of cooperative diversity wireless networks.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.223/_p
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@ARTICLE{e96-b_1_223,
author={Yi ZHOU, Yusheng JI, Weidong XIANG, Sateesh ADDEPALLI, Aihuang GUO, Fuqiang LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Evaluation of Cascaded Multi-Keyhole Channels in Cooperative Diversity Wireless Communications},
year={2013},
volume={E96-B},
number={1},
pages={223-232},
abstract={To accurately evaluate and manage future distributed wireless networks, it is indispensable to fully understand cooperative propagation channels. In this contribution, we propose cascaded multi-keyhole channel models for analyzing cooperative diversity wireless communications. The cascaded Wishart distribution is adopted to investigate the eigenvalue distribution of the multi-keyhole MIMO (multiple input multiple output) channel matrix, and the capacity performance is also presented for the wireless systems over such channels. A diversity order approximation method is proposed for better evaluating the eigenvalue and capacity distributions. The good match of analytical derivations and numerical simulations validates the proposed models and analysis methods. The proposed models can provide an important reference for the optimization and management of cooperative diversity wireless networks.},
keywords={},
doi={10.1587/transcom.E96.B.223},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - Evaluation of Cascaded Multi-Keyhole Channels in Cooperative Diversity Wireless Communications
T2 - IEICE TRANSACTIONS on Communications
SP - 223
EP - 232
AU - Yi ZHOU
AU - Yusheng JI
AU - Weidong XIANG
AU - Sateesh ADDEPALLI
AU - Aihuang GUO
AU - Fuqiang LIU
PY - 2013
DO - 10.1587/transcom.E96.B.223
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2013
AB - To accurately evaluate and manage future distributed wireless networks, it is indispensable to fully understand cooperative propagation channels. In this contribution, we propose cascaded multi-keyhole channel models for analyzing cooperative diversity wireless communications. The cascaded Wishart distribution is adopted to investigate the eigenvalue distribution of the multi-keyhole MIMO (multiple input multiple output) channel matrix, and the capacity performance is also presented for the wireless systems over such channels. A diversity order approximation method is proposed for better evaluating the eigenvalue and capacity distributions. The good match of analytical derivations and numerical simulations validates the proposed models and analysis methods. The proposed models can provide an important reference for the optimization and management of cooperative diversity wireless networks.
ER -