Optimizing the Reduction of PAPR of OFDM System Using Hybrid Methods

Akurati, Malleswari; Pentamsetty, Satish Kumar; Kodati, Satya Prasad

doi:10.1007/s11277-022-09679-x

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…] + 𝑛𝑜𝑖𝑠𝑒 (15) Where, ℎ 𝑖 represents 𝑖𝑡ℎ column of channel coefficient matrix 𝐻 . Generally, the mathematical equation of MRC for orthogonal STBC is given in Eq.…”

Section: Encoding and Decodingmentioning

confidence: 99%

“…Hence, it faces issues like initial convergence, less search constancy, the trap of local optimal, inefficient search, and less population diversity and diverging from a solution of optimum [14]. Some of the abovementioned issues are also presented in a traditional SCSO algorithm [15,16]. To overcome the limitations, the SCSO is a hybrid with chaotic maps.…”

Section: Introductionmentioning

confidence: 99%

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Partial Transmit Sequence Chaotic Sand Cat Swarm Optimization Based Phase Optimizer for Peak-to-Average Power Ratio Reduction

2024

IJIES

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Orthogonal Frequency Division Multiplexing (OFDM) is the most significant transmission techniques that permits feasible modulation and demodulation. OFDM system is majorly affected by high Peak-to-Average Power Ratio (PAPR) values. To reduce this issue, this research proposed a Partial Transmit Sequence -Chaotic Sand Cat Swarm Optimization (PTS-CSCSO) technique of Cyclic Prefix-OFDM (CP-OFDM). To encode and decode the signal in the CP-OFDM system, the Space Time Block Coding (STBC) technique is utilized and for modulation and demodulation, the Quadrate Amplitude Modulation (QAM-16) is utilized. The PTS technique is utilized for PAPR reduction, in that phase factor is optimized by using the proposed PTS-CSCSO algorithm. The Additive White Gaussian Noise (AWGN) channel is utilized, that transmit the signal from transmitter to receiver. The performance of the proposed algorithm is evaluated with performance metrics of Bit Error Rate (BER), Symbol Error Rate (SER), and Complementary Cumulative Distribution Function (CCDF). The proposed algorithm attained a minimum BER of 10-8 which is superior to other existing methods like Prime Learning Ant Lion Optimization (PL-ALO) and Phase Optimizer-assisted Partial Transmit Sequence (PO-PTS).

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Section: Encoding and Decodingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Partial Transmit Sequence Chaotic Sand Cat Swarm Optimization Based Phase Optimizer for Peak-to-Average Power Ratio Reduction

2024

IJIES

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“…In [11], a composite technique that integrates PTS and SLM was developed. This study focuses on evaluating the performance of NOMA in terms of PAPR, bit error rate (BER), and power spectral density (PSD) by employing the proposed amalgamated SLM+PTS technique supplemented by a complementary reduction strategy.…”

Section: Introductionmentioning

confidence: 99%

Optimizing PAPR, BER, and PSD Efficiency: Using Phase Factors Generated by Bacteria Foraging Algorithm for PTS and SLM Methods

Kumar,

Gaur,

Nanthaamornphong

2024

IEEE Access

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The orthogonal time-frequency space (OTFS) waveform is a modulation scheme for wireless communication that achieves high spectral efficiency by exploiting multipath propagation, offering robustness to Doppler shifts and delay spread. A high peak-to-average power ratio (PAPR) is considered to be a significant issue in the OTFS waveform, drastically reducing the performance of the framework. PAPR affects system performance by causing power amplifiers to operate inefficiently at high power levels, leading to increased power consumption, distortion, and reduced spectral efficiency. In this study, we combined the partial transmission sequence (PTS) and selective mapping (SLM) with the bacterial foraging algorithm (BFA), which is also known as the SLM-BFA and PTS-BFA. An extensive search for the optimal phase factors in the PTS and SLM can be computationally expensive. BFO mimics the foraging behavior of bacteria to efficiently navigate the search space. BFO intelligently finds the optimal phase factors, reducing the computation and PAPR values of the OTFS. The performance of the proposed hybrid schemes was simulated for Rayleigh and Rician channels for 64 and 256 subcarriers, respectively. Parameters such as PAPR, bit error rate (BER), and power spectral density (PSD) were analyzed and compared with those of conventional SLM and PTS methods. The projected hybrid methods obtained a significant PAPR gain of 7.9 and 11.9 dB for 64 subcarriers and 7.5 dB and 8.9 dB for 256 subcarriers with Rayleigh and Rician channels, respectively. Further, it is seen that the proposed methods effectively retained the BER performance of the framework with trivial intricacy. In conclusion, using PTS and SLM techniques, which have been improved by the BFA, makes OTFS waveform communication systems work better. These methods effectively mitigate the PAPR issue and improve the system efficiency and spectral utilization. The synergy between the PTS, SLM, and BFA offers a promising approach for overcoming the challenges in OTFS modulation, contributing to the advancement of robust and efficient wireless communication technologies.

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A Hybrid Clipping and SLM Technique for PAPR Reduction in OFDM Systems

Algaderi,

Zatout

2024

Communications in Computer and Information Science

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Optimizing the Reduction of PAPR of OFDM System Using Hybrid Methods

Cited by 5 publications

References 31 publications

Partial Transmit Sequence Chaotic Sand Cat Swarm Optimization Based Phase Optimizer for Peak-to-Average Power Ratio Reduction

Partial Transmit Sequence Chaotic Sand Cat Swarm Optimization Based Phase Optimizer for Peak-to-Average Power Ratio Reduction

Optimizing PAPR, BER, and PSD Efficiency: Using Phase Factors Generated by Bacteria Foraging Algorithm for PTS and SLM Methods

A Hybrid Clipping and SLM Technique for PAPR Reduction in OFDM Systems

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