PAPR Analysis of 5G and B5G Waveforms Using Advanced PAPR Algorithms

被引：1
|
作者：
Kumar, Arun [1 ]
Sharma, Himanshu [2 ]
Gaur, Nishant [2 ]
Gour, Nidhi [2 ]
机构：
[1] New Horizon Coll Engn, Bengaluru 560103, India
[2] Jaipur Engn Coll & Res Ctr Univ, Jaipur, India
来源：
IT PROFESSIONAL | 2024年 / 26卷 / 04期
关键词：
Technological innovation; NOMA; 5G mobile communication; Wireless networks; Bit error rate; Peak to average power ratio; Throughput; REDUCTION;
D O I：
10.1109/MITP.2024.3405824
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The implementation of advanced waveforms will play an important role in enhancing the throughput, spectrum access, data rate, and capacity of the 5G and beyond 5G systems. High peak-to-average power ratio (PAPR) is a serious concern in advanced waveforms, which can drastically reduce the performance of the system. The primary objective of the proposed article is to analyze PAPR algorithms when applied to advanced waveforms. In this article, we analyze and compare the bit error rate (BER) and PAPR performance of advanced waveforms for different PAPR algorithms. The computer simulation results reveal that the deep learning method for nonorthogonal multiple access obtained a significant BER gain of 3.1 and 1.5 dB and a PAPR gain of 3.2 and 1.2 dB as compared with contemporary advanced waveforms.
引用
收藏
页码：17 / 21
页数：5
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