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自适应系统中基于场景的信噪比预测算法
Scenario-based SNR Prediction Method in Adaptive System
【摘要】 首先定义了过时信道状态信息(OCSI,Outdated Channel State Information)对系统频谱效率的影响因子,分析了OCSI对频谱效率的影响;接着提出了一种基于信噪比预测的无线链路自适应系统模型,应用文中提出的基于信道变化场景的信噪比预测算法(SSPA,Scenario-based SNR Prediction Algorithm)对发送数据时的信噪比进行预测,以克服OCSI的影响。仿真表明,与现有技术比较,基于SSPA的自适应系统具有近似的误比特率性能,频谱效率得到了有效的提升,特别是在高信噪比区域,频谱效率的改善十分显著。
【Abstract】 This paper firstly proposes the definition of OCSI impact factor and analyzes the effects OCSI impact factor on spectrum efficiency,and then a link adaptive system model based on SSPA is proposed,thus to predict the SNR immediately while transmitting data by means of SSPA based on the time-varying fading statistics. Simulation indicates that compared with existing techniques,the SSPA-based link adaptive system has similar BER performance and coald thus significantly improve the spectrum efficiency,especially in the high SNR areas.
【Key words】 link adaption; OCSI; SNR prediction; spectrum efficiency;
- 【文献出处】 通信技术 ,Communications Technology , 编辑部邮箱 ,2014年03期
- 【分类号】TN92
- 【被引频次】3
- 【下载频次】98