Back to Search Start Over

A New SLM-UFMC Model for Universal Filtered Multi-Carrier to Reduce Cubic Metric and Peak to Average Power Ratio in 5G Technology.

Authors :
Shawqi, Farooq Sijal
Audah, Lukman
Mostafa, Salama A.
Gunasekaran, Saraswathy Shamini
Baz, Abdullah
Hammoodi, Ahmed Talaat
Alhakami, Hosam
Hassan, Mustafa Hamid
Jubair, Mohammed Ahmed
Alhakami, Wajdi
Source :
Symmetry (20738994); Jun2020, Vol. 12 Issue 6, p909-909, 1p
Publication Year :
2020

Abstract

The new generation of wireless communication systems has adopted different waveforms. The universal filtered multicarrier is one of the adopted candidates that has symmetry with various numerology designs. However, the high peak to average power ratio is one of the major limitations faced by universal filter multicarrier (UFMC) designers. Moreover, recent studies utilize cubic metric along with the peak to average power ratio (PAPR) to show the power back-off effect of the signal in which the PAPR metric identifies the maximum peak and the cubic metric (CM) identifies the Out of Band emission and In-Band distortion. Most of the current solutions, such as amplitude clipping, tone reservation, and active constellation extension, decrease the PAPR but cause degradation to the bit error rate. Selected mapping is one of the promising techniques that is recently used to solve the PAPR and CM problems without causing bit error rate (BER) degradation. In this paper, the selected mapping (SLM) is integrated with UFMC to reduce the PAPR and CM without affecting the BER of 5G networks. The SLM-UFMC solution model is simulated by MATLAB and the results show that the SLM-UFMC model presents better PAPR and CM performance without BER degradation. The PAPR has been decreased to 1.5 dB with respect to eight-phase rotation vectors and the CM decreased to 1.25 dB compared to the conventional UFMC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20738994
Volume :
12
Issue :
6
Database :
Complementary Index
Journal :
Symmetry (20738994)
Publication Type :
Academic Journal
Accession number :
144323382
Full Text :
https://doi.org/10.3390/sym12060909