Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO

In order to overcome the drawback of conventional diversity technologies that sacrificing valuable communication resources such as data rate or bandwidth in massive multiple input multiple output (MIMO) systems, a double-component combined generalized weighted fractional Fourier transform (DCGWFRFT)...

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Main Authors: Xingjian LI, Zhiqun SONG, Yong LI, Lizhe LIU, Bin WANG, Chang WANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2023-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023226/
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author Xingjian LI
Zhiqun SONG
Yong LI
Lizhe LIU
Bin WANG
Chang WANG
author_facet Xingjian LI
Zhiqun SONG
Yong LI
Lizhe LIU
Bin WANG
Chang WANG
author_sort Xingjian LI
collection DOAJ
description In order to overcome the drawback of conventional diversity technologies that sacrificing valuable communication resources such as data rate or bandwidth in massive multiple input multiple output (MIMO) systems, a double-component combined generalized weighted fractional Fourier transform (DCGWFRFT) based waveform design method was proposed.The concept of computational diversity was introduced, and the diversity performance was improved via moderate computational resources without requiring channel state information at the transmitter.The principle of computational diversity of DCGWFRFT based waveform was firstly analyzed, and a DCGWFRFT based waveform design and transform process, which could be adopted combined with existing diversity methods, was then proposed according to the principle.Theoretical analysis proves that the proposed waveform design and transform process can perfectly recover the original transmitted signal in noise-free case, and the power of error of proposed waveform is distributed more evenly than that of untransformed waveform in noisy case.Simulation results show that the performance of DCGWFRFT based waveform has an advantage of at least 1.7 dB in bit signal-to-noise ratio compared with untransformed waveform when bit error rate is 10<sup>-3</sup>.
format Article
id doaj-art-3e79c2909c00404e8bbc4f4c7cabcaad
institution Kabale University
issn 1000-436X
language zho
publishDate 2023-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-3e79c2909c00404e8bbc4f4c7cabcaad2025-01-14T06:22:33ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-12-014421622959384897Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMOXingjian LIZhiqun SONGYong LILizhe LIUBin WANGChang WANGIn order to overcome the drawback of conventional diversity technologies that sacrificing valuable communication resources such as data rate or bandwidth in massive multiple input multiple output (MIMO) systems, a double-component combined generalized weighted fractional Fourier transform (DCGWFRFT) based waveform design method was proposed.The concept of computational diversity was introduced, and the diversity performance was improved via moderate computational resources without requiring channel state information at the transmitter.The principle of computational diversity of DCGWFRFT based waveform was firstly analyzed, and a DCGWFRFT based waveform design and transform process, which could be adopted combined with existing diversity methods, was then proposed according to the principle.Theoretical analysis proves that the proposed waveform design and transform process can perfectly recover the original transmitted signal in noise-free case, and the power of error of proposed waveform is distributed more evenly than that of untransformed waveform in noisy case.Simulation results show that the performance of DCGWFRFT based waveform has an advantage of at least 1.7 dB in bit signal-to-noise ratio compared with untransformed waveform when bit error rate is 10<sup>-3</sup>.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023226/massive MIMOdiversityDCGWFRFTwaveform design
spellingShingle Xingjian LI
Zhiqun SONG
Yong LI
Lizhe LIU
Bin WANG
Chang WANG
Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO
Tongxin xuebao
massive MIMO
diversity
DCGWFRFT
waveform design
title Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO
title_full Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO
title_fullStr Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO
title_full_unstemmed Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO
title_short Double-component combined generalized weighted fractional Fourier transform based waveform design for massive MIMO
title_sort double component combined generalized weighted fractional fourier transform based waveform design for massive mimo
topic massive MIMO
diversity
DCGWFRFT
waveform design
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023226/
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AT zhiqunsong doublecomponentcombinedgeneralizedweightedfractionalfouriertransformbasedwaveformdesignformassivemimo
AT yongli doublecomponentcombinedgeneralizedweightedfractionalfouriertransformbasedwaveformdesignformassivemimo
AT lizheliu doublecomponentcombinedgeneralizedweightedfractionalfouriertransformbasedwaveformdesignformassivemimo
AT binwang doublecomponentcombinedgeneralizedweightedfractionalfouriertransformbasedwaveformdesignformassivemimo
AT changwang doublecomponentcombinedgeneralizedweightedfractionalfouriertransformbasedwaveformdesignformassivemimo