scholarly journals PAPR analysis of OFDM system using AI based multiple signal representation methods

2019 ◽  
Vol 17 (6) ◽  
pp. 2983 ◽  
Author(s):  
Jyoti Shukla ◽  
Alok Joshi ◽  
Rajesh Tyagi
Keyword(s):  
Ofdm System ◽  
Signal Representation ◽  
Multiple Signal

A low-complexity multiple signal representation scheme in downlink OFDM-CDMA

2009 ◽  
Vol 52 (12) ◽  
pp. 2433-2444 ◽  
Author(s):  
LiLin Dan ◽  
Yue Xiao ◽  
Peng Cheng ◽  
Gang Wu ◽  
ShaoQian Li
Keyword(s):  
Low Complexity ◽  
Signal Representation ◽  
Multiple Signal ◽  
Representation Scheme

scholarly journals On the PAR Reduction of OFDM Signals Using Multiple Signal Representation

2004 ◽  
Vol 8 (7) ◽  
pp. 425-427 ◽  
Author(s):  
A.D.S. Jayalath ◽  
C.R.N. Athaudage
Keyword(s):  
Signal Representation ◽  
Multiple Signal ◽  
Ofdm Signals

Multiple signal representation simulation of photonic devices, systems, and networks

2000 ◽  
Vol 6 (2) ◽  
pp. 282-296 ◽  
Author(s):  
A. Lowery ◽  
O. Lenzmann ◽  
I. Koltchanov ◽  
R. Moosburger ◽  
R. Freund ◽  
...  
Keyword(s):  
Photonic Devices ◽  
Signal Representation ◽  
Multiple Signal

scholarly journals PAPR Reduction of a Universal Filtered Multicarrier Using a Selective Mapping Scheme

2019 ◽  
Vol 54 (5) ◽  
Author(s):  
Farooq Sijal Shawqi ◽  
Ahmed Talaat Hammoodia ◽  
Lukman Audah ◽  
Ammar Ahmed Falih
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Communication Systems ◽  
Average Power ◽  
Mapping Method ◽  
Signal Representation ◽  
Multiple Signal ◽  
Representation Technique ◽  
Selective Mapping ◽  
Papr Performance

The new generation of wireless communication systems involves several different technologies. The universal filtered multicarrier (UFMC) is one of these technologies. UFMC supports various numerology designs; however, the high peak to average power ratio (PAPR) is a major limitation faced by designers. Therefore, diverse approaches have been introduced, such as amplitude clipping, tone reservation, and active constellation extension, to mitigate the PAPR problem. These algorithms produce significant degradation in terms of bit error rate or power consumption. Another proposed solution is multiple signal representation schemes, which have promised to conserve bit error rate performance without power waste. Selected mapping is a multiple signal representation technique that reduces the PAPR without bit error degradation. This paper focuses on integrating the selected mapping method with the UFMC. Simulation results show that the integrated algorithm presents better PAPR performance: the PAPR was reduced by 2.1 dB and 1 dB for UFMC and CP-OFDM, respectively, without bit error rate degradation.

OFDM with reduced peak-to-average power ratio by multiple signal representation

1997 ◽  
Vol 52 (1-2) ◽  
pp. 58-67
Author(s):  
Stefan H. Müller ◽  
Robert W. Bäuml ◽  
Robert F. H. Fischer ◽  
Johannes B. Huber
Keyword(s):  
Average Power ◽  
Power Ratio ◽  
Signal Representation ◽  
Multiple Signal

scholarly journals A Novel Low Computational Complexity Multiple Signal Representation Technique for PAPR Reduction in OFDM Systems

2016 ◽  
Author(s):  
Alok Joshi ◽  
Nikita Airee
Keyword(s):  
Computational Complexity ◽  
Orthogonal Frequency Division Multiplexing ◽  
Average Power ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Signal Representation ◽  
Phase Selection ◽  
High Data ◽  
Multiple Signal ◽  
Representation Technique

Orthogonal Frequency Division Multiplexing (OFDM) while being an efficient scheme for high data rate wireless communications has drawbacks such as higher Peak-to-Average Power Ratio (PAPR). To reduce PAPR, use of multiple signal representation technique such as Partial Transmit Sequence (PTS) is one of the favored techniques. However, the use of conventional PTS technique need excessive number of complex calculations in order to search for all permissible combinations of phase sequences causing steep increase in complexity in terms of complex computations. Paper aims to reduce the cumbersome process of phase selection by making use of the similarity of the phase vectors. The phase vectors are obtained sequentially and thus minimize the number of changes from one phase vector to another. Theoretical analysis shows that computational complexity is significantly reduced with the help of this proposed novel technique. We have also demonstrated that PAPR values are similar i.e. PAPR reduction capability remains similar but at reduced complexity.

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