Cognitive heterogeneous network based on cooperative spectrum sensing and interference constraints

YE Shi-tong; WAN Zhi-ping; KE Jian-bo; LIU Shao-jiang; NI Wei-chuan

doi:10.3969/j.issn.1000-5641.2017.06.007

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Nov. 2017

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YE Shi-tong, WAN Zhi-ping, KE Jian-bo, LIU Shao-jiang, NI Wei-chuan. Cognitive heterogeneous network based on cooperative spectrum sensing and interference constraints[J]. Journal of East China Normal University (Natural Sciences), 2017, (6): 76-84. doi: 10.3969/j.issn.1000-5641.2017.06.007

Citation:

YE Shi-tong, WAN Zhi-ping, KE Jian-bo, LIU Shao-jiang, NI Wei-chuan. Cognitive heterogeneous network based on cooperative spectrum sensing and interference constraints[J]. Journal of East China Normal University (Natural Sciences), 2017, (6): 76-84. doi: 10.3969/j.issn.1000-5641.2017.06.007

Citation:

YE Shi-tong, WAN Zhi-ping, KE Jian-bo, LIU Shao-jiang, NI Wei-chuan. Cognitive heterogeneous network based on cooperative spectrum sensing and interference constraints[J]. Journal of East China Normal University (Natural Sciences), 2017, (6): 76-84. doi: 10.3969/j.issn.1000-5641.2017.06.007

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Cognitive heterogeneous network based on cooperative spectrum sensing and interference constraints

doi: 10.3969/j.issn.1000-5641.2017.06.007

1.
Huali College, Guangdong University of Technology, Guangzhou 511325, China
2.
Xinhua College, Sun Yat-Sen University, Guangzhou 510520, China

Received Date: 2016-08-19
Publish Date: 2017-11-25

Abstract

Abstract

For idle channel detection accuracy and network throughput optimized on heterogeneous wireless networks, a cognitive heterogeneous network based on cooperative spectrum sensing and interference constraints is proposed. First, the proposed model of cognitive heterogeneous network system that used several center secondary user nodes to assist other nodes spectrum sensing, and the introduction of energy detection threshold improves idle channel detection accuracy of detection while saves energy. Then, the joint optimization equation of maximizing data rate was used to assignment optimal transmit power for node under constrained to limit interference power, it reduced the degree of interference and optimize network throughput. The simulation results show that, compared with the cluster-based cooperative spectrum sensing based on energy allocation strategy algorithm and QoS constraints perceived competitive power allocation algorithm, which improved network throughput, respectively, 3.4% and 1.5%, and increased the average spectral efficiency 9.3% and 7.4%, respectively.
- cognitive heterogeneous networks,
- cooperative spectrum sensing,
- interference constraints,
- power allocation,
- network throughput optimization

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References(14)

References

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