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
Propomos uma rede de rádio cognitiva cooperativa (CCRN) com usuários secundários (SUs) empregando duas antenas simultâneas de transmissão e recepção (STAR). Na estrutura proposta de CCRN full-duplex (FD) de múltiplas entradas e múltiplas saídas (MIMO), a região de taxa alcançável é expandida via comunicação FD entre SUs habilitada pelas antenas STAR adotadas para os SUs. A capacidade de ligação do framework proposto é analisada teoricamente. É demonstrado através da análise numérica que a estrutura FD MIMO-CCRN proposta pode fornecer um ganho considerável de desempenho em relação às estruturas convencionais de CCRN e MIMO-CCRN.
Sangwoo PARK
Korea Advanced Institute of Science and Technology
Iickho SONG
Korea Advanced Institute of Science and Technology
Seungwon LEE
Korea Advanced Institute of Science and Technology
Seokho YOON
Sungkyunkwan University
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Sangwoo PARK, Iickho SONG, Seungwon LEE, Seokho YOON, "Full-Duplex Cooperative Cognitive Radio Networks with Simultaneous Transmit and Receive Antennas in MIMO Channels" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 8, pp. 1903-1915, August 2018, doi: 10.1587/transcom.2017EBP3138.
Abstract: We propose a cooperative cognitive radio network (CCRN) with secondary users (SUs) employing two simultaneous transmit and receive (STAR) antennas. In the proposed framework of full-duplex (FD) multiple-input-multiple-output (MIMO) CCRN, the region of achievable rate is expanded via FD communication among SUs enabled by the STAR antennas adopted for the SUs. The link capacity of the proposed framework is analyzed theoretically. It is shown through numerical analysis that the proposed FD MIMO-CCRN framework can provide a considerable performance gain over the conventional frameworks of CCRN and MIMO-CCRN.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3138/_p
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@ARTICLE{e101-b_8_1903,
author={Sangwoo PARK, Iickho SONG, Seungwon LEE, Seokho YOON, },
journal={IEICE TRANSACTIONS on Communications},
title={Full-Duplex Cooperative Cognitive Radio Networks with Simultaneous Transmit and Receive Antennas in MIMO Channels},
year={2018},
volume={E101-B},
number={8},
pages={1903-1915},
abstract={We propose a cooperative cognitive radio network (CCRN) with secondary users (SUs) employing two simultaneous transmit and receive (STAR) antennas. In the proposed framework of full-duplex (FD) multiple-input-multiple-output (MIMO) CCRN, the region of achievable rate is expanded via FD communication among SUs enabled by the STAR antennas adopted for the SUs. The link capacity of the proposed framework is analyzed theoretically. It is shown through numerical analysis that the proposed FD MIMO-CCRN framework can provide a considerable performance gain over the conventional frameworks of CCRN and MIMO-CCRN.},
keywords={},
doi={10.1587/transcom.2017EBP3138},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Full-Duplex Cooperative Cognitive Radio Networks with Simultaneous Transmit and Receive Antennas in MIMO Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 1903
EP - 1915
AU - Sangwoo PARK
AU - Iickho SONG
AU - Seungwon LEE
AU - Seokho YOON
PY - 2018
DO - 10.1587/transcom.2017EBP3138
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2018
AB - We propose a cooperative cognitive radio network (CCRN) with secondary users (SUs) employing two simultaneous transmit and receive (STAR) antennas. In the proposed framework of full-duplex (FD) multiple-input-multiple-output (MIMO) CCRN, the region of achievable rate is expanded via FD communication among SUs enabled by the STAR antennas adopted for the SUs. The link capacity of the proposed framework is analyzed theoretically. It is shown through numerical analysis that the proposed FD MIMO-CCRN framework can provide a considerable performance gain over the conventional frameworks of CCRN and MIMO-CCRN.
ER -