Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System

Based on the millimetre-wave time-domain channel detector, this paper conducts channel measurement and modelling for different scenarios and antenna types in typical frequency bands and thus carries out a study on the propagation characteristics of millimetre-wave channels in typical frequency bands...

Full description

Bibliographic Details
Main Authors: Zhengnan Lv, Zhenghao Xi
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/1976499
id doaj-934fef632787447eb8cbf39a05903762
record_format Article
spelling doaj-934fef632787447eb8cbf39a059037622021-06-28T01:51:27ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/1976499Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication SystemZhengnan Lv0Zhenghao Xi1Potevio Information Technology Co., LtdSchool of Electronic and Electrical EngineeringBased on the millimetre-wave time-domain channel detector, this paper conducts channel measurement and modelling for different scenarios and antenna types in typical frequency bands and thus carries out a study on the propagation characteristics of millimetre-wave channels in typical frequency bands and scenarios for 5G. The time-varying characteristics and modelling methods of millimetre-wave clusters are studied, and the time-varying channel simulation strategy and linear regression fitting method are used to establish the time-varying generation and extinction model of clusters by combining the measured data of 26 GHz large-scale antenna channels. The algorithm is based on the correlation dictionary and achieves the efficient and optimal selection of large-scale antenna arrays in the millimetre-wave band. A low-complexity multiuser hybrid precoding design scheme is proposed based on the wideband millimetre-wave large-scale Multiple-Input Multiple-Output (MIMO) system. The scheme aims to maximize the system spectral efficiency and introduces the net spectral efficiency as a bridge to decouple the analogy precoding design from the digital precoding design, thus significantly reducing the computational complexity. In the analogy precoding stage, a Hungarian algorithm-based beam assignment method is proposed to avoid beam conflicts and maximize the net spectral efficiency of the system; in the digital precoding stage, the equivalent channel matrix of each subcarrier is diagonalized to eliminate multiuser interference. Finally, the effectiveness of the scheme is verified by simulation. In this paper, we focus on the radio frequency (RF) link and user selection algorithm of 5G mobile communication system. Through the study of these two aspects, the RF link of our communication system has high stability and reliability, and through the study of the algorithm used for selection, our results also have a strong practical value.http://dx.doi.org/10.1155/2021/1976499
collection DOAJ
language English
format Article
sources DOAJ
author Zhengnan Lv
Zhenghao Xi
spellingShingle Zhengnan Lv
Zhenghao Xi
Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System
Complexity
author_facet Zhengnan Lv
Zhenghao Xi
author_sort Zhengnan Lv
title Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System
title_short Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System
title_full Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System
title_fullStr Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System
title_full_unstemmed Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System
title_sort radio frequency link and user selection algorithm for 5g mobile communication system
publisher Hindawi-Wiley
series Complexity
issn 1099-0526
publishDate 2021-01-01
description Based on the millimetre-wave time-domain channel detector, this paper conducts channel measurement and modelling for different scenarios and antenna types in typical frequency bands and thus carries out a study on the propagation characteristics of millimetre-wave channels in typical frequency bands and scenarios for 5G. The time-varying characteristics and modelling methods of millimetre-wave clusters are studied, and the time-varying channel simulation strategy and linear regression fitting method are used to establish the time-varying generation and extinction model of clusters by combining the measured data of 26 GHz large-scale antenna channels. The algorithm is based on the correlation dictionary and achieves the efficient and optimal selection of large-scale antenna arrays in the millimetre-wave band. A low-complexity multiuser hybrid precoding design scheme is proposed based on the wideband millimetre-wave large-scale Multiple-Input Multiple-Output (MIMO) system. The scheme aims to maximize the system spectral efficiency and introduces the net spectral efficiency as a bridge to decouple the analogy precoding design from the digital precoding design, thus significantly reducing the computational complexity. In the analogy precoding stage, a Hungarian algorithm-based beam assignment method is proposed to avoid beam conflicts and maximize the net spectral efficiency of the system; in the digital precoding stage, the equivalent channel matrix of each subcarrier is diagonalized to eliminate multiuser interference. Finally, the effectiveness of the scheme is verified by simulation. In this paper, we focus on the radio frequency (RF) link and user selection algorithm of 5G mobile communication system. Through the study of these two aspects, the RF link of our communication system has high stability and reliability, and through the study of the algorithm used for selection, our results also have a strong practical value.
url http://dx.doi.org/10.1155/2021/1976499
work_keys_str_mv AT zhengnanlv radiofrequencylinkanduserselectionalgorithmfor5gmobilecommunicationsystem
AT zhenghaoxi radiofrequencylinkanduserselectionalgorithmfor5gmobilecommunicationsystem
_version_ 1721357202861588480