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首先定义了过时信道状态信息(OCSI,Outdated Channel State Information)对系统频谱效率的影响因子,分析了OCSI对频谱效率的影响;接着提出了一种基于信噪比预测的无线链路自适应系统模型,应用文中提出的基于信道变化场景的信噪比预测算法(SSPA,Scenario-based SNR Prediction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。
This paper firstly proposes the definition of OCSI impact factor and analyzes the effects OCSI im-pact 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 sys-tem has similar BER performance and coald thus significantly improve the spectrum efficiency, especially in the high SNR areas.
出处
《通信技术》
2014年第3期247-252,共6页
Communications Technology
基金
国家自然科学基金资助项目(No.61362015)
广西高校科学技术研究项目(No.2013YB031)
广西师范大学重点项目(No.2011ZD005)~~
