Research on channel and power allocation of cognitive radio network based on hybrid NOMA
For the downlink of the cognitive radio network with hybrid non-orthogonal multiple access(NOMA), the improved model for channel and power resource allocation were established with the constraints of the primary user's interference power threshold, the secondary user's minimum information...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Journals Center of Shanghai Normal University
2021-01-01
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| Series: | Journal of Shanghai Normal University (Natural Sciences) |
| Subjects: | |
| Online Access: | http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20210110 |
| Summary: | For the downlink of the cognitive radio network with hybrid non-orthogonal multiple access(NOMA), the improved model for channel and power resource allocation were established with the constraints of the primary user's interference power threshold, the secondary user's minimum information rate, and the number of subchannel multiplexing users. To optimize the problem model, a channel allocation method with adjustable fairness was proposed to obtain the matching result between the channel and the user. The convex approximation and the Charnes-Cooper transformation method were used to obtain the power allocation value of the multiplexing users. The simulation results showed that when the total power of the base station was 25 dBm, the user fairness index of the channel allocation algorithm proposed in this paper was improved by 50%. |
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| ISSN: | 1000-5137 1000-5137 |