Green-energy-powered cognitive radio networks: Joint time and power allocation
文献类型：期刊论文
| 作者 | Xu C(许驰) ; Yu HB(于海斌); Liang W(梁炜)
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| 刊名 | ACM Transactions on Embedded Computing Systems
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| 出版日期 | 2018 |
| 卷号 | 17期号:1页码:1-18 |
| 关键词 | Cognitive radio networks resource allocation green energy energy harvesting throughput |
| ISSN号 | 1539-9087 |
| 产权排序 | 1 |
| 通讯作者 | Yu HB(于海斌) |
| 中文摘要 | This article studies a green-energy-powered cognitive radio network (GCRN) in an underlay paradigm, wherein multiple battery-free secondary users (SUs) capture both the spectrum and the energy of primary users (PUs) to communicate with an access point (AP). By time division multiple access, each SU transmits data to AP in the allocated time and harvests energy from the RF signals of PUs otherwise, all in the same licensed spectrum concurrently with PUs. Thus, the transmit power of each SU is jointly constrained by the peak interference power at PU and the harvested energy of SU. With the formulated green coexistence paradigm, we investigate the sum-Throughput maximization problem with respect to time and power allocation, which is non-convex. To obtain the optimal resource allocation, we propose a joint optimal time and power allocation (JOTPA) algorithm that first transforms the original problem into a convex optimization problem with respect to time and energy allocation, and then solve it by iterative Lagrange dual decomposition. To comprehensively evaluate the performance of the GCRN with JOTPA, we deploy the GCRN in three typical scenarios and compare JOTPA with the equal time and optimal power allocation (ETOPA) algorithm. Extensive simulations show that the deployment of the GCRN significantly influences the throughput performance and JOTPA outperforms ETOPA under all considered scenarios. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Hardware & Architecture ; Computer Science, Software Engineering |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | THROUGHPUT MAXIMIZATION ; RESOURCE-ALLOCATION ; OPTIMIZATION |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000423294100013 |
| 源URL | [http://ir.sia.cn/handle/173321/20976]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.State Key Laboratory of Robotics and Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Xu C,Yu HB,Liang W. Green-energy-powered cognitive radio networks: Joint time and power allocation[J]. ACM Transactions on Embedded Computing Systems,2018,17(1):1-18. |
| APA | Xu C,Yu HB,&Liang W.(2018).Green-energy-powered cognitive radio networks: Joint time and power allocation.ACM Transactions on Embedded Computing Systems,17(1),1-18. |
| MLA | Xu C,et al."Green-energy-powered cognitive radio networks: Joint time and power allocation".ACM Transactions on Embedded Computing Systems 17.1(2018):1-18. |
入库方式： OAI收割
来源：沈阳自动化研究所
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