Mitigation of Peak to Average Power Ratio in Orthogonal Frequency Division Multiplexing through SOP-PTS

Year : 2023 | Volume :01 | Issue : 01 | Page : 32-39
By

    K. Srinivasa Rao

  1. Professor, Dhanekula Institute of Engineering and Technology, Andhra Pradesh, India

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a popular multicarrier modulation technology extensively employed in 4G wireless communication systems to transmit data over a dispersive channel. To address the Peak-to-Average Power Ratio (PAPR) issue in OFDM, a technique called Partial Transmit Sequence (PTS) is commonly utilized. The PTS method involves dividing the data block into non-overlapping sub-blocks and then combining them using phase factors to mitigate PAPR. However, the conventional PTS approach encounters a challenge as the number of sub-blocks increases, leading to exponentially growing search complexity due to the need to explore all possible phase factor combinations. To overcome this complexity and effectively reduce PAPR, a novel approach is proposed in this study, known as Particle Swarm Optimization (PSO)-based PTS technique. PSO is a bio-inspired algorithm capable of efficiently searching the solution space to find optimal solutions. By employing PSO, the proposed PSO-PTS method achieves a significant reduction in computational complexity, particularly for large sub-blocks, while obtaining lower PAPR levels. The simulation results demonstrate that the PSO-PTS approach outperforms the conventional PTS method.

Keywords: OFDM, PTS, Swam optimization algorithm, PAPR, digital radio transmissions

[This article belongs to International Journal of Radio Frequency Innovations(ijrfi)]

How to cite this article: K. Srinivasa Rao.Mitigation of Peak to Average Power Ratio in Orthogonal Frequency Division Multiplexing through SOP-PTS.International Journal of Radio Frequency Innovations.2023; 01(01):32-39.
How to cite this URL: K. Srinivasa Rao , Mitigation of Peak to Average Power Ratio in Orthogonal Frequency Division Multiplexing through SOP-PTS ijrfi 2023 {cited 2023 Dec 01};01:32-39. Available from: https://journals.stmjournals.com/ijrfi/article=2023/view=127903


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References

  1. Alik, M. A., &Beigh, G. R. OFDM: Basic Concepts, Scope & its applications.
  2. Patel, D., Tiwari, N., & Kumar, S. A Review on OFDM: Concept, Advantages, Applications & its Scope. Bharti, P., Malik, S., & Malik, S. Transmission Technology OFDM: Concept, Scope & its applications.
  3. Chadha, A., Satam, N., &Ballal, B. (2013). Orthogonal Frequency Division Multiplexing and its Applications. arXiv preprint arXiv:1309.7334.
  4. Gangwar, A., & Bhardwaj, M. (2012). An overview: Peak to average power ratio in OFDM system & its effect. International Journal of Communication and Computer Technologies, 1(2), 22-25.
  5. Vijayarangan, V., &Sukanesh, R. (2009). An overview of techniques for reducing peak to average power ratio and its selection criteria for orthogonal frequency division multiplexing radio systems. Journal of theoretical and applied information technology, 5(1), 25-36.
  6. Saxena, R., Singla, P., & Sharma, V. The Comparative Study of Peak-to-Average Power Ratio Reduction Techniques for LTE OFDM system & its Effect.
  7. Dixit, A., Parashar, P., &Changlani, S. (2015). Partial Transmit Sequence Scheme for PAPR Reduction in OFDM Systems: A Review. International Journal for Innovative Research in Science and Technology, 1(8), 179-184.
  8. Patel, D.B., Tevar, N., & Patel, A. (2014). PAPR Reduction in the OFDM signal Using Partial Transmit Sequence, 2(1), 5-10.
  9. Bao, H., Fang, J., Chen, Z., Li, H., & Li, S. (2015). An Efficient Bayesian PAPR Reduction Method for OFDM-Based Massive MIMO Systems.
  10. Khyam, M. O., Alam, M. J., Lambert, A. J., Garratt, M. A., & Pickering, M. R. (2016). High-Precision OFDM-Based Multiple Ultrasonic Transducer Positioning Using a Robust Optimization Approach. IEEE Sensors Journal, 16(13), 5325-5336.
  11. Lye, S. C. K., Yew, H. T., Chua, B. L., Chin, R. K. Y., &Teo, K. T. K. (2013, July). Particle Swarm Optimization Based Resource Allocation in Orthogonal Frequency-division Multiplexing. In 2013 7th Asia Modelling Symposium (pp. 303-308). IEEE.
  12. Sobhy, E. A., Pentakota, S., Yu, Z., &Hoyos, S. (2011). Analytical framework and bandwidth Optimization of orthogonal frequency division multiplexing low-order multi-channel filter-bank receivers for achieving sampling clock-jitter robustness. IET circuits, devices & systems, 5(5), 360-364.
  13. Chen, J. C. (2010). Partial transmit sequences for PAPR reduction of OFDM signals with stochastic optimization techniques. IEEE Transactions on Consumer Electronics, 56(3), 1229-1234.
  14. Bouhlel, A., Sakly, A., & Mansouri, M. N. (2016, March). Partial Transmit Sequence technique based on Particle Swarm Optimization for WOFDM PAPR reduction. In 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (pp. 710-714). IEEE.
  15. Phulia, M., &Sahu, O. P. (2014). Peak-to-Average Power Ratio (PAPR) Reduction of OFDM Signals Using a Modified PTS Technique. International Journal of Electronic and Electrical Engineering, 7(1), 79-84.
  16. Ghosh, S., Roy, S., Das, S., Abraham, A., & Islam, S. M. (2011, June). Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm. In 2011 IEEE Congress of Evolutionary Computation (CEC) (pp. 1941-1949). IEEE.
  17. Gupta, P. (2015). Application of PSO Optimized Companding in Peak Average To Power Ratio (PAPR) Reduction In Orthogonal Frequency Division Multiplexing (OFDM).
  18. Verma, R., Singh, M., &Dewangan, N. (2014). An Overview of Optimization Algorithm for Complexity Reduction in PTS technique of PAPR Reduction, 5(2), 479-484.
  19. Wen, J. H., Lee, S. H., Huang, Y. F., & Hung, H. L. (2008). A suboptimal PTS algorithm based on particle swarm optimization technique for PAPR reduction in OFDM systems. EURASIP journal on wireless communications and networking, 2008(1), 1-8.
Regular Issue Subscription Original Research
Volume 01
Issue 01
Received September 22, 2023
Accepted September 30, 2023
Published December 1, 2023
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