Distributed compressive wideband spectrum sensing in cooperative multi-hop cognitive networks

IEEE International Conference on Communications

Volumn , Issue , 2010, Pages

  Zeng, Fanzi ^a   Tian, Zhi ^b   Li, Chen ^b  

^a HUNAN UNIVERSITY   (China)

^b Michigan Technological University   (United States)

Author keywords

Cognitive radio; Collaborative sensing; Compressed spectrum sensing; Consensus; Distributed fusion

Indexed keywords

COGNITIVE NETWORK; COGNITIVE RADIO; COLLABORATIVE SENSING; COMPRESSED SENSING; COMPRESSED SPECTRUM SENSING; COMPUTATION LOADS; DISTRIBUTED ALGORITHM; DISTRIBUTED FUSION; HIGH RESOLUTION; LOCAL COMMUNICATIONS; MULTIHOP; NETWORK SIZE; NYQUIST SAMPLING RATE; OPTIMAL SOLUTIONS; ORTHOGONALITY; SIGNAL RECOVERY; SPECTRAL COMPONENTS; SPECTRAL ESTIMATION; SPECTRAL OCCUPANCY; USER COOPERATION; USER DETECTION; WIDE-BAND; WIDEBAND SPECTRUM;

COMMUNICATION; INNOVATION; SIGNAL RECONSTRUCTION; SPECTRUM ANALYSIS;

RADIO;

EID: 77955411463     PISSN: 05361486     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2010.5502793     Document Type: Conference Paper

References (12)

1. D. Donoho, "Compressed sensing," IEEE Transactions on Information Theory, vol. 52, pp. 1289-1306, April 2006.
2. Z. Tian and G. Giannakis, "Compressed sensing for wideband cognitive radios, " IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 4, pp. IV1357-IV1360, April 2007.
3. Y. Polo, Y. Wang, A. Pandharipande, and G. Leus, "Compressive wide-band spectrum sensing, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2337-2340, April 2009.
4. M. Duarte, M. Wakin, D. Baron, and R. Baraniuk, "Universal distributed sensing via random projections, The IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2006. pp. 177-185, 2006.
5. A. Hormati and M. Vetterli, "Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter," IEEE Signal Processing Workshop on Higher-Order Statistics, pp. 5141-5144, April 2008.
6. Y. Wang, A. Pandharipande, Y. Polo, and G. Leus, "Distributed compressive wide-band spectrum sensing," Information Theory and Applications Workshop, pp. 178-183, Feb. 2009.
7. Z. Tian, "Compressed wideband sensing in cooperative cognitive radio networks," IEEE Global Telecom. Conf., pp. 1-5, Dec. 2008.
8. M. Duarte, S. Sarvotham, D. Baron, M. Wakin, and R. Baraniuk, "Distributed compressed sensing of jointly sparse signals," Asilomar Conference on Signals, Systems and Computers pp. 1537-1541, Nov. 2005.
9. S. Kirolos, T. Ragheb, J. Laska, M. Duarte, Y. Massoud, and R. Baraniuk, "Practical issues in implementing analog-to-information converters," International Workshop on System-on-Chip for Real-Time Applications, pp. 141-146, Dec. 2006.
10. I. Schizas, A. Ribeiro, and G. Giannakis, "Consensus in ad hoc WSNs with noisy links. Part I: distributed estimation of deterministic signals," IEEE Transactions on Signal Processing, vol. 56, pp. 350-364, 2008.
11. B. Muquet, M. de Courville, "Blind and semi-blind channel identification methods using second order statistics for OFDM systems," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. 5, pp. 2745-2748, March 1999.
12. S. Chen and S. McLaughlin, "Blind channel identification based on higher-order cumulant fitting using genetic algorithms," IEEE Signal Processing Workshop on Higher-Order Statistics, pp. 184-188, July 1997.