5G NR的小区搜索改进算法

doi:10.11959/j.issn.1000-0801.2021036

Abstract

Abstract:

The era of 5G NR has higher requirements for speed, capacity and user experience.In 5G NR physical layer, cell search is an indispensable process.Cell search mainly includes primary synchronization signal (PSS) detection algorithm and secondary synchronization signal (SSS) detection algorithm.The traditional PSS detection algorithm and SSS detection algorithm can’t satisfy the basic requirements of 5G NR.In order to solve this problem, an improved PSS detection algorithm based on the traditional M-segment cross-correlation detection algorithm was proposed.When the channel environment is bad, the traditional SSS detection algorithm will also fail.The improved SSS detection algorithm proposed can solve this problem.Finally, the traditional algorithm and the improved algorithm were compared and analyzed.The simulation results show that the detection performance of the proposed algorithm is significantly improved, and the detection efficiency and overall performance are also improved.

Key words: cell search, PSS detection algorithm, SSS detection algorithm

CLC Number:

TN929.5

Baojiang DONG, Chen PENG, He LU. Improved cell search algorithm for 5G NR[J]. Telecommunications Science, 2021, 37(2): 48-54.

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系统参数	参数配置
载波频率	3.4 GHz
系统带宽	100 MHz
子载波间隔	30 kHz
FFT点数	256
CP类型	常规型
小区ID	0、1、2
信道模型	AWGN

算法名称	复数乘法	复数加法	实数乘法	实数加法	N点FFT次数
传统PSS检测	921 854	460 936	0	0	21 603
改进PSS检测	230 463	115 234	0	0	5 403
传统SSS检测	1 524	544	171 200	170 688	16
改进SSS检测	381	136	42 800	42 672	4

Improved cell search algorithm for 5G NR

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