[1] Wang Cong, Jiang Wei, Song Tiecheng, Bao Xu, et al. Throughput optimization for multi-channel cooperativeCR under reporting channel errors [J]. Journal of Southeast University (English Edition), 2020, 36 (3): 245-251. [doi:10.3969/j.issn.1003-7985.2020.03.001]

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Throughput optimization for multi-channel cooperativeCR under reporting channel errors()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

36

Issue:

2020 03

Page:

245-251

Research Field:

Information and Communication Engineering

Publishing date:

2020-09-20

Info

Title:

Throughput optimization for multi-channel cooperativeCR under reporting channel errors

Author(s):

Wang Cong;  Jiang Wei;  Song Tiecheng;  Bao Xu;  Hu Jing

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Keywords:

cognitive radio;  multi-channel;  cooperative spectrum sensing;  reporting channel errors

PACS:

TN929.5

DOI:

10.3969/j.issn.1003-7985.2020.03.001

Abstract:

To overcome the problem of channel fading and noise uncertainty, cooperative spectrum sensing(CSS)is developed to enhance the sensing performance in cognitive radio networks(CRNs). Considering that the non-ideal reporting channels of CSS can cause an adverse impact on the detection performance, the throughput maximization problem for multi-channel CSS cognitive radio under reporting channel errors is investigated. While providing all the primary users with sufficient protection, the average throughput of secondary users(SUs)is maximized by jointly optimizing the sensing duration, detection threshold and SU assignment. To address the non-convex optimization problem, the optimal energy detection threshold is derived first. Then, a sub-optimal greedy algorithm is proposed to obtain the optimal sensing duration and the optimal SU assignment. Analysis and simulation results show that the proposed algorithm can output the same performance as the exhaustive search algorithm at a much lower level of complexity. It is also shown that the impact of imperfect reporting channels should be considered especially in low signal-to-noise ratio environments and the reporting channel errors significantly reduce the performance of CSS.

References:

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Memo

Memo:

Biographies: Wang Cong(1986—), female, Ph.D. candidate; Song Tiecheng(corresponding author), male, doctor, professor, songtc@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61771126), the Key Research and Development Plan of Jiangsu Province(No. BE2018108).
Citation: Wang Cong, Jiang Wei, Song Tiecheng, et al.Throughput optimization for multi-channel cooperative CR under reportingchannel errors[J].Journal of Southeast University(English Edition), 2020, 36(3):245-251.DOI:10.3969/j.issn.1003-7985.2020.03.001.

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