ISSN 1000-1239 CN 11-1777/TP

• 信息安全 •

### 能量收集与协作网络安全容量优化技术

1. 1(广东工业大学计算机学院 广州 510006); 2(计算机体系结构国家重点实验室(中国科学院计算技术研究所) 北京 100190) (asjiaxinwu@outlook.com)
• 出版日期: 2019-03-01
• 基金资助:
国家自然科学基金项目(61672171,61702115)；广东省科技厅科技计划项目(2015B010129014,2018B030311007)；中国博士后科学基金项目(2017M622632);计算机体系结构国家重点实验室开放课题(CARCH201303)

### Secrecy Capacity Optimization Technique for Energy Harvest Cooperative Cognitive Radio Network

Wu Jiaxin1, Wu Jigang1,2, Chen Long1, Sui Xiufeng2

1. 1(School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006); 2(State Key Laboratory of Computer Architecture (Institute of Computing Technology, Chinese Academy of Sciences), Beijing 100190)
• Online: 2019-03-01

Abstract: In order to maximize the primary secrecy rate, we researched the channel resource allocation of the primary user (PU) and the secondary user (SU) in the energy harvesting cognitive radio (EHCR) which is based on the cooperative communication and energy harvesting technology. In this network, the SU, which can harvest energy from the ambient, will assist the PU with cooperative communication. As a reward, the SU can get the opportunity to access the PU’s spectrum resource when the cooperative communication is over. Given the QoS demand of SU transmission node, we design a computing method of maximizing the primary secrecy rate. Numerical results demonstrate that the secrecy capacity is inverse proportional to the energy harvesting ratio, and it is also direct proportional to the cooperative communication ratio. We also figure out that the secrecy capacity is achievable. In the end, we assume that the SU works at a constant low sending power, when the cooperative communication ratio changes from 0.2 to 0.5, our research is lifting 79.28%, 80.46%, 64.23%, 78.85% on average, respectively, on the maximization of the secrecy rate, in comparison to the existing strategy. Moreover, the proposed algorithm is about 7.34 times efficient than the existing algorithms averagely.