Cooperative spectrum sensing in TV white spaces: When cognitive radio meets cloud

2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011

Volumn , Issue , 2011, Pages 672-677

  Ko, Chun Hsien ^a   Huang, Din Hwa ^a   Wu, Sau Hsuan ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Cloud Computing; Cognitive Radio; MapReduce; Sparse Bayesian Learning; Windows Azure

Indexed keywords

COGNITIVE RADIO; COMPUTING CAPACITY; COOPERATIVE SPECTRUM SENSING; HIERARCHICAL PARALLELIZATION; MAP-REDUCE; MICROSOFT; PROGRAMMING MODELS; RESOURCE-SCHEDULING; SENSING DATA; SIMULATION STUDIES; SPARSE BAYESIAN LEARNING; SPECTRUM POWER; WHITE SPACE;

COMPUTER PROGRAMMING; COMPUTER SIMULATION; MULTIPROCESSING SYSTEMS; RADIO; WINDOWS OPERATING SYSTEM;

CLOUD COMPUTING;

EID: 79960597645     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFCOMW.2011.5928897     Document Type: Conference Paper

References (8)

1. J. Mitola and G. Q. Maguire, "Cognitive radio: Making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, Aug. 1999.
2. M. A. McHenry, NSF spectrum occupancy measurements project summary, shared spectrum co. report, Aug. 2005.
3. FCC, Second report and order and memorandum opinion and order, FCC 08-260, Nov. 2008.
4. M. E. Tipping, "Sparse Bayesian learning and the relevance vector machine," Journal of Machine Learning Research, vol. 1.
5. H. Harada, H. Murakami, K. Ishizu, S. Filin, Y. Saito, H. N. Tran, G. Miyamoto, M. Hasegawa, Y. Murata, and S. Kato, "A Software Defined Cognitive Radio System Cognitive Wireless Clouds ," in IEEE proceeding of IEEE Global Communications Conference (GLOBECOM). Washington DC, USA.
6. J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, Jan. 2008.
7. D.-H. Tina Huang, S.-H. Wu, and P.-H. Wang, "Cooperative Spectrum Sensing and Locationing: A Sparse Bayesian Learning Approach," in Proc. IEEE GLOBECOM. Miami, USA, Dec. 2010.
8. E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles : Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. on Information Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006.