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基于放大重传的认知共存网络传输容量分析
引用本文:申琪,田峰.基于放大重传的认知共存网络传输容量分析[J].信息通信技术,2012(3):72-75.
作者姓名:申琪  田峰
作者单位:南京邮电大学教育部宽带无线通信与传感技术重点实验室,南京,210003
基金项目:国家自然科学基金项目,江苏省青蓝工程资助项目
摘    要:采用随机几何方法对认知共存网络中认知用户对主用户造成的累加干扰进行建模,并在无衰落信道和瑞利衰落信道中分别分析了主用户采用放大重传协作通信模式下的中断概率和传输容量。仿真结果表明,放大重传模式可以有效降低共存网络中主用户的中断概率、提高主用户的传输容量,且易于实现。

关 键 词:随机几何  累加干扰  中断概率  放大重传  传输容量  认知共存网络

Analysis of Transmission Capacity in Cognitive Coexistent Networks Based on Amplify-and-Forward Scheme
Shen Qi Tian Feng.Analysis of Transmission Capacity in Cognitive Coexistent Networks Based on Amplify-and-Forward Scheme[J].Information and Communications Technologies,2012(3):72-75.
Authors:Shen Qi Tian Feng
Affiliation:Shen Qi Tian Feng Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract:A stochastic geometry method was proposed to model aggregate interference in cognitive coexistent network where primary(PR) network and secondary (SR) network coexist together. Outage probability and transmission capacity for cooperation transmission of Amplify-and-Forward (AF) schemes were analyzed in channels without fading and Rayleigh fading channels based on the aggregate interference model. Simulation results showed that AF scheme can effectively reduce the outage probability and increase the transmission capacity of the primary user in a cognitive coexistent network and easy to implement.
Keywords:Stochastic Geometry  Aggregative Interference  Outage Probability  Amplify-and-Forward  Transmission Capacity  Cognitive Coexistent Network
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