@inproceedings{de0385a7ac7042dfb24a90d21b0e17fc,
title = "CLT for eigen-inference methods in cognitive radios",
abstract = "This article provides a central limit theorem for a consistent estimator of the population eigenvalues of a class of sample covariance matrices. An exact expression as well as an empirical and asymptotically accurate approximation of the limiting variance is also derived. These results are applied in a cognitive radio context featuring an orthogonal-CDMA primary network and a secondary network whose objective is to maximise the coverage of secondary transmissions under low probability of interference with primary users.",
keywords = "CLT, G-estimation, cognitive radios",
author = "Jianfeng Yao and Romain Couillet and Jamal Najim and Eric Moulines and M{\'e}rouane Debbah",
year = "2011",
month = aug,
day = "18",
doi = "10.1109/ICASSP.2011.5946284",
language = "English",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "2980--2983",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}