A Survey on Transmission Schemes on Large-Scale Internet of Things with Nonorthogonal Multiple Access

被引：0

作者：

Zhou, Wenyu ^{[1
]}

Zhao, Rui ^{[2
]}

Zhu, Fusheng ^{[3
]}

Lai, Lijia ^{[2
]}

Li, Xutao ^{[4
]}

机构：

[1] Hefei Univ Technol, Sch Management, Hefei, Anhui, Peoples R China

[2] Guangzhou Univ, Sch Comp Sci, Guangzhou, Peoples R China

[3] Guangdong New Generat Commun & Network Innovat In, Guangzhou, Peoples R China

[4] Shantou Univ, Dept Elect Engn, Shantou, Guangdong, Peoples R China

来源：

WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2021年 / 2021卷

基金：

中国国家自然科学基金;

关键词：

BACKSCATTER NOMA SYSTEMS; MULTIUSER DETECTION; CHANNEL ESTIMATION; NETWORKS; OPTIMIZATION;

D O I：

10.1155/2021/8555761

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper performs a comprehensive survey on transmission schemes for the large-scale Internet of things (IoT) networks with nonorthogonal multiple access (NOMA). By solving the interference among users, NOMA can significantly improve the frequency reuse efficiency and support multiple users to use the same frequency resources. It is considered to be one of the most effective technologies for the next-generation wireless communication. However, there are still many challenges on the transmission schemes for the large-scale NOMA system, including the short-data packet transmission, active user detection, channel estimation, and data detection. In order to meet these challenges, this paper first reviews the short-packet transmission in the large-scale NOMA systems and then reviews the active user detection and channel estimation technologies of the considered systems.

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页数：11

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