Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks
Aiming at a cognitive radio network (CRN) consisting of a pair of primary users and M pairs of secondary users, the secondary throughput maximization for CRN based on the non-linear energy harvesting model was studied.Specifically, in the case of considering secondary transmitter (ST) circuit power,...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2023-02-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023033/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841530852836638720 |
|---|---|
| author | Haijiang GE Ning JIA Kaikai CHI Yunzhi CHEN |
| author_facet | Haijiang GE Ning JIA Kaikai CHI Yunzhi CHEN |
| author_sort | Haijiang GE |
| collection | DOAJ |
| description | Aiming at a cognitive radio network (CRN) consisting of a pair of primary users and M pairs of secondary users, the secondary throughput maximization for CRN based on the non-linear energy harvesting model was studied.Specifically, in the case of considering secondary transmitter (ST) circuit power, the secondary throughput maximization (STM) problem with primary users’ throughput demands was first modeled as a non-linear optimization problem and then transformed into a convex optimization problem.Finally, a low-complexity algorithm combining the golden section and dichotomy was proposed.By applying this low-complexity algorithm, the optimal time allocation of the primary transmitter (PT)’s energy transmission and secondary users’ information transmission, and the optimal transmission power of PT were obtained.In addition, for the case of neglecting the ST circuit power, the convex property of the STM problem was first proved, and then a more efficient algorithm was designed to solve it.The simulation results show that compared with the equal time allocation method and the link gain priority method, the proposed design algorithm significantly improves the throughput of secondary users. |
| format | Article |
| id | doaj-art-b038340fcc234d2296aae54ec7ee9554 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2023-02-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-b038340fcc234d2296aae54ec7ee95542025-01-15T02:59:05ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-02-013910311759570575Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networksHaijiang GENing JIAKaikai CHIYunzhi CHENAiming at a cognitive radio network (CRN) consisting of a pair of primary users and M pairs of secondary users, the secondary throughput maximization for CRN based on the non-linear energy harvesting model was studied.Specifically, in the case of considering secondary transmitter (ST) circuit power, the secondary throughput maximization (STM) problem with primary users’ throughput demands was first modeled as a non-linear optimization problem and then transformed into a convex optimization problem.Finally, a low-complexity algorithm combining the golden section and dichotomy was proposed.By applying this low-complexity algorithm, the optimal time allocation of the primary transmitter (PT)’s energy transmission and secondary users’ information transmission, and the optimal transmission power of PT were obtained.In addition, for the case of neglecting the ST circuit power, the convex property of the STM problem was first proved, and then a more efficient algorithm was designed to solve it.The simulation results show that compared with the equal time allocation method and the link gain priority method, the proposed design algorithm significantly improves the throughput of secondary users.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023033/cognitive radio networknon-linear energy harvestingsecondary throughput maximizationlow-complexityconvex optimization |
| spellingShingle | Haijiang GE Ning JIA Kaikai CHI Yunzhi CHEN Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks Dianxin kexue cognitive radio network non-linear energy harvesting secondary throughput maximization low-complexity convex optimization |
| title | Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks |
| title_full | Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks |
| title_fullStr | Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks |
| title_full_unstemmed | Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks |
| title_short | Secondary throughput maximization scheme for non-linear energy harvesting cognitive radio networks |
| title_sort | secondary throughput maximization scheme for non linear energy harvesting cognitive radio networks |
| topic | cognitive radio network non-linear energy harvesting secondary throughput maximization low-complexity convex optimization |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023033/ |
| work_keys_str_mv | AT haijiangge secondarythroughputmaximizationschemefornonlinearenergyharvestingcognitiveradionetworks AT ningjia secondarythroughputmaximizationschemefornonlinearenergyharvestingcognitiveradionetworks AT kaikaichi secondarythroughputmaximizationschemefornonlinearenergyharvestingcognitiveradionetworks AT yunzhichen secondarythroughputmaximizationschemefornonlinearenergyharvestingcognitiveradionetworks |