An online parallel algorithm for spectrum sensing in cognitive radio networks

Yang, Yang; Zhang, Mengyi; Pesavento, Marius; Palomar, Daniel

doi:10.1109/ACSSC.2014.7094778

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An online parallel algorithm for spectrum sensing in cognitive radio networks

Yang, Yang; Zhang, Mengyi; Pesavento, Marius et al.

2014 • In Proc. 48th Asilomar Conference on Signals, Systems and Computers

Peer reviewed

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https://hdl.handle.net/10993/34172

DOI
10.1109/ACSSC.2014.7094778

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Disciplines :

Electrical & electronics engineering

Author, co-author :

Yang, Yang ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Zhang, Mengyi

Pesavento, Marius

Palomar, Daniel

External co-authors :

yes

Language :

English

Title :

An online parallel algorithm for spectrum sensing in cognitive radio networks

Publication date :

November 2014

Event name :

2014 48th Asilomar Conference on Signals, Systems and Computers

Event date :

from 02-11-2014 to 05-12-2014

Main work title :

Proc. 48th Asilomar Conference on Signals, Systems and Computers

Peer reviewed :

Peer reviewed

Additional URL :

http://ieeexplore.ieee.org/document/7094778/

European Projects :

FP7 - 619647 - ADEL - Advanced Dynamic spectrum 5G mobile networks Employing Licensed shared access

Funders :

CE - Commission Européenne [BE]

Available on ORBilu :

since 24 January 2018

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Bibliography

S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, Feb. 2005.
R. Zhang, Y.-C. Liang, and S. Cui, "Dynamic Resource Allocation in Cognitive Radio Networks," IEEE Signal Processing Magazine, vol. 27, no. 3, pp. 102-114, May 2010.
Y. Yang, G. Scutari, P. Song, and D. P. Palomar, "Robust MIMO Cognitive Radio Systems Under Interference Temperature Constraints," IEEE Journal on Selected Areas in Communications, vol. 31, no. 11, pp. 2465-2482, Nov. 2013.
S.-J. Kim, E. Dall'Anese, and G. B. Giannakis, "Cooperative Spectrum Sensing for Cognitive Radios Using Kriged Kalman Filtering," IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 1, pp. 24-36, Feb. 2011.
F. Zeng, C. Li, and Z. Tian, "Distributed Compressive Spectrum Sensing in Cooperative Multihop Cognitive Networks," IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 1, pp. 37-48, Feb. 2011.
A. Sayed, Adaptive filters. Hoboken, N.J.: Wiley-Interscience, 2008.
D. Angelosante, J. A. Bazerque, and G. B. Giannakis, "Online Adaptive Estimation of Sparse Signals: Where RLS Meets the -1-Norm," IEEE Transactions on Signal Processing, vol. 58, no. 7, pp. 3436-3447, Jul. 2010.
S. Barbarossa, S. Sardellitti, and P. Di Lorenzo, "Distributed detection and estimation in wireless sensor networks," in Academic Press Library in Signal Processing, R. Chellappa and S. Theodoridis, Eds., 2014, vol. 2, pp. 329-408.
A. Beck and M. Teboulle, "A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems," SIAM Journal on Imaging Sciences, vol. 2, no. 1, pp. 183-202, Jan. 2009.
G. Scutari, F. Facchinei, P. Song, D. P. Palomar, and J.-S. Pang, "Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems," IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 641-656, Feb. 2014.
F. Facchinei, G. Scutari, and S. Sagratella, "Parallel Algorithms for Big Data Optimization," Dec. 2013, submitted to IEEE Transactions on Signal Processing. [Online]. Available: http://arxiv.org/abs/1402.5521
Z. Quan, S. Cui, H. Poor, and A. Sayed, "Collaborative wideband sensing for cognitive radios," IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 60-73, Nov. 2008.
D. P. Bertsekas and J. N. Tsitsiklis, Parallel and distributed computation: Numerical methods. Prentice Hall, 1989.
Y. Yang, M. Zhang, M. Pesavento, and D. P. Palomar, "An online parallel and distributed algorithm for recursive estimation of sparse signals," unpublished.
D. P. Bertsekas, Nonlinear programming. Athena Scientific, 1999.
"The MOSEK Optimization toolbox for MATLAB manual. Version 7.0." [Online]. Available: http://www.mosek.com
J. Mairal, F. Bach, J. Ponce, and G. Sapiro, "Online Learning for Matrix Factorization and Sparse Coding," The Journal of Machine Learning Research, vol. 11, pp. 19-60, 2010.