The implementation of Peak Average to Power Ratio (PAPR) reduction technologies will play an important role in the regularization of Fifth Generation (5G) radio communication. PAPR reduction in the advanced waveform will be the key part of designing a 5G network for different applications. This work introduces the simulation of an Advanced Partial Transmission Sequence (A-PTS) reduction techniques for Orthogonal Frequency Division Multiplexing (OFDM) and Filter Bank Multi-Carrier (FBMC) transmission schemes. In the projected A-PTS, the FBMC signals are mapped into the number of sub-blocks and Inverse Fast Fourier transform (IFFT) is performed to estimate the high peak power in the time domain. The FBMC sub-blocks are multiplied with the phase elements to achieve an optimal PAPR value. A MATLAB 2014v simulation is used to estimate the PAPR, Bit Error Rate (BER), Error Vector Magnitude (EVM), and Modulation Error Rate (MER) performance of the proposed reduction schemes. The simulated result reveals that the performance of the projected algorithm is better than the conventional algorithms.

Due to the increase in requirement of high data speed, low latency, efficient spectral accessing, and connectivity with a large number of machines, it has become essential to investigate an advanced multi-carrier technique [

The structure of FBMC is shown in

PAPR occurs when the amplitude of the sub-carriers is increased due to the constructive interference. In [

The contributions of the article are as follows:

We propose a novel modified A-PTS PAPR minimization algorithm for beyond 5G candidate waveforms.

The throughput of the proposed system is vastly improved as compared with the existing method, without significant increase of complexity.

It is seen that the spectrum leakage of the FBMC is significantly reduced on applying the A-PTS algorithm.

The key concept of OFDM is to split the single carrier into the number of orthogonal sub-carriers. The OFDM symbol is given as [

T is the total period. The OFDM signal with m sub-carriers is given as:

where L is the OFDM symbol index, P(t) is the response of the filter,

The PAPR of the OFDM signal is given as:

where E is the Expectation operator.

The key aspect of FBMC is to split the transmission channel into several sub-channels. The sub-channels in the FBMC structure are orthogonal. The orthogonality between the sub-channels helps to exploit the entire spectrum of the system. The FBMC signals can be denoted as [

From

The PAPR of the FBMC signals is given by:

The PAPR in dB is given by:

The CCDF of the FBMC signal is estimated as:

PTS is one of the most efficient methods used for minimizing the peak power of the signal and is schematically shown in

Let us consider a FBMC sub-blocks given as:

The FBMC sub-blocks

where W is the angle vectors restricted to the set

The IFFT is carried out to estimate the amplitude peak power given as:

The PAPR is estimated as:

The work is implemented by using a Matlab-2013 software. The simulation parameters used are given in

S. No | Parameters |
---|---|

1 | Waveforms: FBMC and OFDM |

2 | PAPR algorithm: Advanced PTS |

3 | Channel Bandwidth: 7. 8 MHz |

4 | Central frequency: 500 MHz |

5 | Sub-Carriers: 64 |

6 | FFT length: 2048 |

7 | Filter: PHYDYAS |

8 | Sub-blocks (U) and Phase vectors (W) = 2, 4 and 8 |

9 | Filter size 75 |

10 | Modulation: 64-QAM |

The proposed A-PTS is applied to FBMC by varying the number of sub-blocks (U) and phase element vector (W), as shown in ^{−5}, the peak power is lower to 7.9 dB (PTS U = 8 W = 2), 8.3 dB (PTS U = 8 W = 4), 8.6 dB (PTS U = 8 W = 8), and 9.1 dB (PTS) as compared to the original PAPR of FBMC (12 dB).

The PAPR curves are analyzed for the proposed method (W = 4 and U = 2, 4, and 8). At the Complementary Cumulative Distribution Function (CCDF) of 10^{−5}, peak power is minimized to 6.6 dB, 6.9 dB, 7.6 dB, and 9 dB. It is observed that the PTS (W = 4, U = 8) generated a gain of 0.3, 1, 2.4, and 5.4 dB as compared with the other comparable methods, as shown in

In ^{−5}, the PTS (U = 8 W = 8) achieved the best performance by decreasing the peak power to 4.1 dB as compared with other comparable algorithms.

The throughput of the system is analyzed by estimating the BER of the projected algorithms on FBMC structure shown in ^{−5} is obtained at the SNR of 4.4, 5.1, 6.4, 7.1, and 8.8 dB as compared to the PAPR of FBMC structure (12 dB).

In

In this work, we have considered athematic operations such as additions and multiplications and IFFT as the complexity of the PAPR algorithm. The complexity of the proposed algorithm and Conventional PTS [

The constellation diagram of the proposed PAPR reduction techniques is indicated in

The collaboration within the 5G network and these by reduction of the PAPR is essential condition for the deployment of the 5G in cellular communication. The main objective of the proposed work is to design a PAPR technique for advanced waveform techniques and to optimize the 5G output. A new modified PTS-FBMC is implemented and proposed for the upcoming 5G radio framework. The proposed algorithm is analyzed and estimated for FBMC and OFDM structure in MATLAB 2014. The advanced PTS is obtained by changing the number of sub-blocks (U) and Phase vectors (W) to decrease the PAPR. According to the assessments and investigation, the proposed PTS-FBMC transmission scheme out-performs the typical PTS-OFDM structure. The design complexity of the novel transmission methods is moderate, and can be even further reduced by using the fewer number of FFTs and limiting the count of sub-carriers. The significant advantage of the suggested scheme over the OFDM is an enhancement of PAPR and BER performance due to the modified PTS at the transmitting. It is concluded therefore that FBMC is an ideal contender for the 5G network, particularly when aided by the proposed PAPR reduction scheme.

The authors would like to thank for the support from Taif University Researchers Supporting Project number (TURSP-2020/73), Taif University, Taif, Saudi Arabia.