Weighted Eigenvalues based Spectrum Sensing for Cognitive Radio Systems

Author:

Verma Pankaj1,Singh Brahmjit1

Affiliation:

1. National Institute of Technology, Kurukshetra

Publisher

ACM Press

Reference14 articles.

1. Federal Communications Commission, 2002.Spectrum policy task force report, FCC 02--155.

2. Mitola, J. and Maguire, G. 1999. Cognitive radio: Making software radios more personal, IEEE Personal Communication, vol. 6, no. 4, pp. 13--18.

3. Mitola, J. 2000. Cognitive radio: An integrated architecture for software defined radio, PhD. Diss., Royal Institute of Technology, Stockholm, Sweden.

4. Haykin, S. 2005. Cognitive radio: Brain-empowered wireless communications, IEEE Journal on Selected Areas in Communication, vol. 23, no. 2, pp. 201--220.

5. Federal Communications Commission. 2003. Notice of proposed rulemaking and order, Facilitating opportunities for flexible, efficient and reliable spectrum use employing cognitive radio technologies, FCC 03--322.

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1. A symmetric low-rank subspace clustering method for cooperative spectrum sensing in complex environments;Physical Communication;2024-04

2. Weighted Adaptive Spectrum Sensing for Cognitive Vehicular Networks;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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