带有能量收集源的认知中继网络吞吐量分析  

Throughput Analysis of Cognitive Relay Networks with Energy Harvesting Sources

作　　者：吴昊冉 仇润鹤[2] WU Hao-ran;QIU Run-he(College of Information Sciences and Technology,Donghua University,Shanghai 201620,China;Engineering Research Center of Digitized Textile ＆ Fashion Technology,Donghua University,Shanghai 201620,China)

机构地区：[1]东华大学信息科学与技术学院,上海201620 [2]数字化纺织服装技术教育部工程研究中心,上海201620

出　　处：《通信技术》2018年第8期1850-1856,共7页Communications Technology

摘　　要：传统的带有能量收集装置的认知无线中继网络中,仅考虑中继收集来自于发射源处的能量。相较于传统的能量收集协议,在多中继的认知无线场景下,提出了一种新的能量收集策略,即中继收集来自发射源发射的射频能量,而发射源收集来自中继二次转发时发射的射频能量。在发射源处收集的能量将会被储存起来,用以延长发射源的工作时长。在此场景下,推导了采用TS能量收集协议系统的吞吐量表达式和采用PS能量收集协议的系统吞吐量表达式,并且通过推导的表达式利用MATLAB软件进行仿真。与传统的能量收集策略进行对比,分析在不同系统参数下两种能量收集协议的次用户系统吞吐量情况。数值仿真显示,新的收集方式相较于传统的收集方式为次用户系统的吞吐量带来了一定增益。In a conventional cognitive wireless relay network with an energy harvesting device, only relays are considered for collecting the energy from the transmission source. Compared with the traditional energy harvesting protocol, a new energy harvesting strategy is proposed in the muhi-relay cognitive wireless scenario. That is, the relay collects the RF energy emitted from the transmission source, and the transmission source collects the RF energy emitted from the relay＇s secondary forwarding. The energy collected at the source is stored so as to extend the working time of the transmission source. In this scenario, an expression for the system throughput of the two energy harvesting protocols TS and PS respectively is derived. Simulation with MATLAB software is done through the derived expressions. Compared with the traditional energy harvesting strategy, the sub-user system throughput of the two energy harvesting system parameters is analyzed. Numerical simulations indicate that compared to method, the new collection method could provide certain gain for the throughput of protocols under different the traditional collection sub-user system.

关 键 词：能量收集 时间分割 功率分割 认知无线中继网络 收集策略 吞吐量 认知次用户 

分 类 号：TN925.3[电子电信—通信与信息系统]