5G NR RSRP测量算法研究  

RESEARCH ON 5G NR RSRP MEASUREMENT ALGORITHM

作　　者：邓炳光[1] 张旭辉 李金艳[2] 张蕾[2] 梅承力[2] Deng Bingguang;Zhang Xuhui;Li Jinyan;Zhang Lei;Mei Chengli(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;China Telecom Corporation Technology Innovation Center,Beijing 102209,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]中国电信股份有限公司技术创新中心,北京102209

出　　处：《计算机应用与软件》2022年第4期149-153,共5页Computer Applications and Software

基　　金：国家科技重大专项(2018ZX03001016)。

摘　　要：RSRP(Reference Signal Receiving Power)是代表无线信号强度的关键参数,也是物理层测量的重要指标之一。当前5G NR中RSRP的测量算法多是均值法和其衍生算法,通过对现有算法的研究提出一种基于子集的共轭相乘算法。根据均值算法和共轭相乘算法进行测量值估计,并对相应算法进行测量结果的比较,进而得到子集共轭相乘算法在不同信噪比情况下可以使用不同子集数来提高RSRP估计值。将提出的新算法结合5G系统的特点与均值算法和共轭相乘算法进行比较分析,得到三种算法各自的特点。Reference signal receiving power(RSRP) is a key parameter representing the strength of wireless signals, and it is also one of the important indicators for physical layer measurement. At present, the measurement algorithms of RSRP in 5 G NR are mostly the mean method and its derivative algorithms. Based on the research of existing algorithms, a conjugate multiplication algorithm based on subset is proposed. The measurement value was estimated according to the mean algorithm and the conjugate multiplication algorithm, and the measurement results of the corresponding algorithms were compared, and then the subset conjugate multiplication algorithm can use different subset numbers to improve RSRP estimation under different SNR conditions value. The new algorithm was combined with the characteristics of the 5 G system, which was compared with the mean algorithm and the conjugate multiplication algorithm, and the characteristics of the three algorithms were obtained.

关 键 词：RSRP 5G 均值 共轭相乘 子集共轭相乘 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] TN929.5[电子电信—通信与信息系统]