scholarly journals An Improved Selective Mapping Method for PAPR Reduction in OFDM/OQAM System

2013 ◽  
Vol 05 (03) ◽  
pp. 53-56 ◽  
Author(s):  
Guobing Cheng ◽  
Huilei Li ◽  
Binhong Dong ◽  
Shaoqian Li
Keyword(s):  
Mapping Method ◽  
Papr Reduction ◽  
Selective Mapping

scholarly journals PAPR Reduction for FBMC Systems with Ant Bee Colony Optimization

2021 ◽  
Vol 10 (1) ◽  
pp. 221-227
Keyword(s):  
Communication Systems ◽  
Optimal Solution ◽  
Mapping Method ◽  
Papr Reduction ◽  
Physical Layers ◽  
High Data ◽  
Wireless Protocols ◽  
Bee Colony ◽  
Bee Colony Optimization ◽  
Selective Mapping

Multi carrier systems are most prevalent modern wireless communication systems which are employed for high data rate transmission. At present, FBMC (Filter bank multi carrier) with OQAM (Offset-QAM) has drawing attention for many researchers to implement new physical layers and wireless protocols. As in the case of multi carrier system, this FBMC also suffers from high PAPR, so this paper presents a PAPR reduction approach with ant bee colony (ABC) optimization. ABC algorithm functionality is similar to honey mining where the labor is shared for nectar source and hence find out the optimal solution. Experimental results shows that the proposed approach could able to attain considerable improvement in decreasing the PAPR whencompared against the conventional FBMC and SLM (selective mapping method) based FBMC approaches.

Time domain cyclic selective mapping for PAPR reduction in MIMO-OFDM systems

2018 ◽  
Author(s):  
Panca Dewi Pamungkasari ◽  
Ilmiawan Shubhi ◽  
Filbert H. Juwono ◽  
Prita Dewi Mariyam ◽  
Dadang Gunawan
Keyword(s):  
Time Domain ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Mimo Ofdm ◽  
Selective Mapping

scholarly journals A Hybrid PAPR Reduction Method Based on SLM and Multi-Data Block PTS for FBMC/OQAM Systems

Information ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 246 ◽  
Author(s):  
Han Wang
Keyword(s):  
Communication Systems ◽  
Filter Bank ◽  
Reduction Method ◽  
Average Power ◽  
Data Block ◽  
Papr Reduction ◽  
Wireless Communication Systems ◽  
Transmission Scheme ◽  
Filter Bank Multicarrier ◽  
Selective Mapping

The filter bank multicarrier employing offset quadrature amplitude modulation (FBMC/OQAM) is a candidate transmission scheme for 5G wireless communication systems. However, it has a high peak-to-average power ratio (PAPR). Due to the nature of overlapped signal structure of FBMC/OQAM, conventional PAPR reduction schemes cannot work effectively. A hybrid PAPR reduction scheme based on selective mapping (SLM) and multi data block partial transmit sequence (M-PTS) methods is proposed for FBMC/OQAM signals in this paper. Different from the simple SLM-PTS method, the proposed hybrid algorithm takes into account the overlapping effect of multiple adjacent data blocks on its PTS process. From simulation results, it can be obtained that the proposed method can offer a significant PAPR reduction performance improvement compared with the SLM, PTS and SLM-PTS methods. The proposed method can effectively reduce the PAPR in FBMC/OQAM systems.

scholarly journals An Efficient Adaptive Technique with Low Complexity for Reducing PAPR in OFDM-Based Cognitive Radio

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Hefdhallah Sakran ◽  
Omar Nasr ◽  
Mona Shokair
Keyword(s):  
Cognitive Radio ◽  
Orthogonal Frequency Division Multiplexing ◽  
Average Power ◽  
Low Complexity ◽  
Papr Reduction ◽  
Modulation Scheme ◽  
Ofdm Systems ◽  
Cpu Time ◽  
Reduction Techniques ◽  
Selective Mapping

Cognitive radio (CR) is considered nowadays as a strong candidate solution for the spectrum scarcity problem. On standards level, many cognitive radio standards have chosen Non-Contiguous Orthogonal Frequency Division Multiplexing (NC-OFDM) as their modulation scheme. Similar to OFDM, NC-OFDM suffers from the problem of having a high Peak to Average Power Ratio (PAPR). If not solved, either the transmitted signal will be distorted, which will cause interference to primary (licensed) users, or the effeciency of the power amplifier will be seriously degraded. The effect of the PAPR problem in NC-OFDM based cognitive radio networks is worse than normal OFDM systems. In this paper, we propose enhanced techniques to reduce the PAPR in NC-OFDM systems. We start by showing that combining two standard PAPR reduction techniques (interleaver-based and selective mapping) results in a lower PAPR than using them individually. Then, an “adaptive number of interleavers” will be proposed that achieves the same performance of conventional interleaver-based PAPR reduction while reducing the CPU time by 41.3%. Finally, adaptive joint interleaver with selective mapping is presented, and we show that it gives the same performance as conventional interleaver-based technique, with reduction in CPU time by a factor of 50.1%.

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