摘要
为减少网络数据传输过程中能量消耗,提出了一种基于无线携能双向全双工认知中继网络能效优化的联合方案。该方案是在该认知中继网络采用功率分割方式进行能量收集并保证主用户干扰下,先将非凸的能效优化问题转化为两个凸的子优化问题,再联合优化次用户传输功率、传输时间以及功率分割因子以实现该认知中继网络能效最大化。仿真表明,所提出联合优化方案的能效是只优化功率方案能效的1.85倍;而且在采用联合优化方案下,双向无线携能全双工认知中继网络的能效是双向无线携能全双工中继网络能效的1.14倍。
In order to reduce energy consumption during network data transmission,a joint solution based on energy efficiency optimization of simultaneous wireless information and power transfer two-way full-duplex cognitive relay network is proposed.The scheme is to first transform the non-convex energy efficiency optimization problem into two convex sub-optimization problems,and then jointly optimize the transmission power of the secondary users,transmission time and power splitting factor to maximize the energy efficiency of the cognitive relay network.The simulation results indicate that the energy efficiency of the proposed joint optimization scheme is 1.85 times that of the power optimization scheme;Under the joint optimization scheme,the energy efficiency of the two-way simultaneous wireless information and power transfer full-duplex cognitive relay network is 1.14 times that of the two-way simultaneous wireless information and power transfer full-duplex relay network.
作者
王令照
仇润鹤
Wang Lingzhao;Qiu Runhe(College of Information Sciences and Technology,Donghua University,Shanghai 201620,China;Engineering Research Center of Digitized Textile&Apparel Technology,Ministry of Education of Donghua University,Shanghai 201620,China)
出处
《通信技术》
2021年第10期2353-2363,共11页
Communications Technology
基金
国家自然科学基金面上项目(No.61671143)。
关键词
无线携能
认知中继网络
全双工
能效
simultaneous wireless information and power transfer
cognitive relay network
full-duplex
energy efficiency
