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A Parallel Multi-Channel Cooperative Spectrum Sensing in Cognitive Radio Networks
- Seo, Dongho;
- Nam, Haewoon
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SCOPUS
12초록
In this paper, we propose a group-based multi-channel cooperative spectrum sensing scheme to maximize the total throughput of cognitive radio networks that includes a secondary user with non-identical average SNR. In this scheme, sensing groups are adaptively organized to perform sensing the different channel. To minimize the error probability, the fusion center determines the group size under the target error probability constraint. Simulation results show that our proposed algorithm can significantly improve the total throughput with target error probability as compared to the conventional cooperative spectrum sensing scheme. © 2018 KIEES.
키워드
Cognitive radio; Cooperative spectrum sensing; Parallel sensing; Errors; Probability; Signal to noise ratio; Co-operative spectrum sensing; Cognitive radio network; Error probabilities; Fusion center; Multi channel; Non-identical; Parallel sensing; Secondary users; Cognitive radio
- 제목
- A Parallel Multi-Channel Cooperative Spectrum Sensing in Cognitive Radio Networks
- 저자
- Seo, Dongho; Nam, Haewoon
- 발행일
- 2019-01
- 유형
- Conference Paper
- 저널명
- ISAP 2018 - 2018 International Symposium on Antennas and Propagation
- 페이지
- 1 ~ 2
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- 발행국가
- 미국
- 분량
- 2 페이지
- ISSN
- P 0000-0000