Title | ||
---|---|---|
A Low PAPR Universal Filtered Multi-Carrier System for 5G Machine Type Communications |
Abstract | ||
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Universal Filtered Multi-Carriers (UFMC) has become one of the favorable modulation systems for upcoming 5G Machine-Type Communications (MTC) communications due to its robustness against multiuser interference, fragmented spectrum suitability and short burst support. However, UFMC systems faces a challenging problem in the form of high Peak-to-Average Power Ratio (PAPR) at the transmitter side. The high PAPR value downplays the efficiency of UFMC transmitter. To counter the high PAPR values, in this work, a new Generalized Chirp-Like Precoding based UFMC (GCL-P-UFMC) system is proposed. The Monte-Carlo simulations of the proposed GCL-P-UFMC system indicate that the proposed system has low PAPR as compared to the conventional UFMC system and the Orthogonal Frequency Division Multiplexing (OFDM) system available in the literature. At a clip rate of 10
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−3</sup>
, the proposed system gives on average 30% better PAPR results as compared to the conventional UFMC and OFDM systems. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/WD.2019.8734188 | 2019 Wireless Days (WD) |
Keywords | Field | DocType |
Peak to average power ratio,Precoding,5G mobile communication,Finite impulse response filters,Quadrature amplitude modulation,Signal to noise ratio | Transmitter,Quadrature amplitude modulation,Computer science,Signal-to-noise ratio,Robustness (computer science),Modulation,Electronic engineering,Interference (wave propagation),Precoding,Orthogonal frequency-division multiplexing | Conference |
ISSN | ISBN | Citations |
2156-9711 | 978-1-7281-0117-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Imran Baig | 1 | 36 | 6.56 |
Umer Farooq | 2 | 571 | 52.74 |
Najam Ul Hasan | 3 | 132 | 12.86 |
Manaf Zghaibeh | 4 | 1 | 1.45 |
Varun Jeoti | 5 | 46 | 11.34 |
Muhammad Imran | 6 | 296 | 32.69 |