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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A teoria da probabilidade livre, que se tornou um ramo principal da teoria das matrizes aleatórias, é uma ferramenta valiosa para descrever o comportamento assintótico de sistemas múltiplos, especialmente para matrizes grandes. Neste artigo, utilizando a teoria da probabilidade livre assintótica, é proposto um novo esquema cooperativo para detecção de espectro, que mostra como o comportamento livre assintótico de matrizes aleatórias e a propriedade da distribuição Wishart podem ser usados para auxiliar a detecção de espectro para rádio cognitivo. Simulações sobre desvanecimento Rayleigh e canais AWGN demonstram que o esquema proposto tem melhor desempenho de detecção do que as técnicas de detecção de energia e o esquema de autovalor máximo-mínimo (MME), mesmo para o caso de uma pequena amostra de observações.
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Lei WANG, Baoyu ZHENG, Qingmin MENG, Chao CHEN, "Cooperative Spectrum Sensing Using Free Probability Theory" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 6, pp. 1547-1554, June 2010, doi: 10.1587/transcom.E93.B.1547.
Abstract: Free probability theory, which has become a main branch of random matrix theory, is a valuable tool for describing the asymptotic behavior of multiple systems, especially for large matrices. In this paper, using asymptotic free probability theory, a new cooperative scheme for spectrum sensing is proposed, which shows how the asymptotic free behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for cognitive radio. Simulations over Rayleigh fading and AWGN channels demonstrate the proposed scheme has better detection performance than the energy detection techniques and the Maximum-minimum eigenvalue (MME) scheme even for the case of a small sample of observations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1547/_p
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@ARTICLE{e93-b_6_1547,
author={Lei WANG, Baoyu ZHENG, Qingmin MENG, Chao CHEN, },
journal={IEICE TRANSACTIONS on Communications},
title={Cooperative Spectrum Sensing Using Free Probability Theory},
year={2010},
volume={E93-B},
number={6},
pages={1547-1554},
abstract={Free probability theory, which has become a main branch of random matrix theory, is a valuable tool for describing the asymptotic behavior of multiple systems, especially for large matrices. In this paper, using asymptotic free probability theory, a new cooperative scheme for spectrum sensing is proposed, which shows how the asymptotic free behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for cognitive radio. Simulations over Rayleigh fading and AWGN channels demonstrate the proposed scheme has better detection performance than the energy detection techniques and the Maximum-minimum eigenvalue (MME) scheme even for the case of a small sample of observations.},
keywords={},
doi={10.1587/transcom.E93.B.1547},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - Cooperative Spectrum Sensing Using Free Probability Theory
T2 - IEICE TRANSACTIONS on Communications
SP - 1547
EP - 1554
AU - Lei WANG
AU - Baoyu ZHENG
AU - Qingmin MENG
AU - Chao CHEN
PY - 2010
DO - 10.1587/transcom.E93.B.1547
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2010
AB - Free probability theory, which has become a main branch of random matrix theory, is a valuable tool for describing the asymptotic behavior of multiple systems, especially for large matrices. In this paper, using asymptotic free probability theory, a new cooperative scheme for spectrum sensing is proposed, which shows how the asymptotic free behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for cognitive radio. Simulations over Rayleigh fading and AWGN channels demonstrate the proposed scheme has better detection performance than the energy detection techniques and the Maximum-minimum eigenvalue (MME) scheme even for the case of a small sample of observations.
ER -