Optimized PTS-SLM Techniques for Reducing Signal Power Fluctuations in OFDM Systems Using BPSK and QPSK Modulation under AWGN and Fading Channels
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Orthogonal Frequency Division Multiplexing (OFDM) has emerged as a prominent modulation scheme for wireless communications due to its efficiency in combating multipath fading and supporting high data rates. A major drawback of OFDM is the high variation between peak and average signal power, which leads to nonlinear distortion when passed through power amplifiers. This paper presents improved Partial Transmit Sequence (PTS) and Selected Mapping (SLM) techniques aimed at reducing signal power fluctuations while minimizing computational complexity. The proposed method achieves effective suppression of signal peaks without compromising system efficiency. Simulations conducted in MATLAB R2012 under various modulation schemes (BPSK, QPSK) and channel models (AWGN, fading) demonstrate that the proposed PTS technique offers superior performance in terms of peak power control compared to conventional SLM approaches, as verified by Complementary Cumulative Distribution Function (CCDF) analysis.
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1. S. Kumar, A. Sharma, and V. Sharma, “Low Complexity PTS for PAPR Reduction in OFDM Using Correlation-Based Candidate Selection,” Int. J. Wireless Commun., Pre-2023.
2. M. Arora and A. Aggarwal, “Reduction of PAPR in OFDM Systems Using Modified PTS with Phase Modulation,” Int. J. Comput. Appl., Pre-2023.
3. M. Bala, P. Chahal, and R. Kaur, “A Novel Approach of Signal Scrambling with PTS Technique for PAPR Reduction in OFDM,” Int. J. Eng. Res. Appl., Pre-2023.
4. I. M. Hussain and A. H. Ali, “A Low Complexity Partial SLM Technique for PAPR Reduction in OFDM Systems,” Wireless Pers. Commun., Pre-2023.
5. V. P. Phale, S. D. Joshi, and P. D. Sonawane, “A Modified PTS Technique Using Matrix Phase Multiplication to Reduce Computational Complexity,” Int. J. Adv. Res. Electron. Commun. Eng., Pre-2023.
6. J.-C. Chen, C.-P. Lee, and T.-D. Chiueh, “A Low-Complexity PAPR Reduction Scheme Using Cross-Entropy-Based Algorithm in OFDM Systems,” IEEE Trans. Veh. Technol., vol. 59, no. 1, pp. 340–346, Jan. 2010.
7. S. Singh, H. Kaur, and J. Singh, “Improved PTS Technique for PAPR Reduction in MIMO-OFDM Systems,” Int. J. Comput. Sci. Mob. Comput., Pre-2023.
8. T. Jiang and Y. Wu, “An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals,” IEEE Trans. Broadcast., vol. 54, no. 2, pp. 257–268, Jun. 2008.
9. K. R. M. Rao and S. Chaitanya, “Comparison of PTS, SLM and Companding Techniques for PAPR Reduction in OFDM,” Int. J. Eng. Trends Technol., Pre-2023.
10. N. A. Gokkul and S. Natarajan, “A Hybrid Technique for PAPR Reduction Using C-PTS with Interleaving and Clipping,” in Proc. Int. Conf. Electr., Electron. Commun. Comput. Optim. Techn. (ICEECCOT), Pre-2023.
11. A. Ghosh, D. R. Wolter, J. G. Andrews, and R. Chen, “Broadband wireless access with WiMAX/802.16: current performance benchmarks and future potential,” IEEE Commun. Mag., vol. 43, no. 2, pp. 129–136, Feb. 2005.
12. R. Van Nee and R. Prasad, OFDM for Wireless Multimedia Communications. Norwood, MA, USA: Artech House, 2000.
13. H. Yang, “A road to future broadband wireless access: MIMO-OFDM-based air interface,” IEEE Commun. Mag., vol. 43, no. 1, pp. 53–60, Jan. 2005.
14. M. Pauli and H. Meyr, “Optimization of cyclic prefix length in OFDM systems,” in Proc. IEEE Int. Conf. Commun., 1998, pp. 1300–1304.
15. S. H. Han and J. H. Lee, “An overview of peak-to-average power ratio reduction techniques for multicarrier transmission,” IEEE Wireless Commun., vol. 12, no. 2, pp. 56–65, Apr. 2005.
16. S. Kumar and G. Singh, “A Low Complexity PAPR Reduction Scheme for OFDM Systems using PTS,” Int. J. Eng. Tech. Res., vol. 3, no. 4, pp. 50–55, Apr. 2015.
17. M. Arora and S. R. Singh, “Improved PAPR Reduction in OFDM using PTS with Modified Phase Factors,” Int. J. Electron. Commun. Eng., vol. 11, no. 1, pp. 45–48, Jan. 2019.
18. M. Bala and A. Sharma, “Performance Evaluation of PTS Based PAPR Reduction for OFDM System,” Int. J. Eng. Trends Technol., vol. 31, no. 4, pp. 203–206, Jan. 2016.
19. I. M. Hussain and M. S. Qureshi, “A low-complexity partial selected mapping scheme for PAPR reduction in OFDM systems,” in Proc. IEEE Int. Conf. Commun. Syst. (ICCS), 2021, pp. 54–58.
20. V. P. Phale and S. D. Joshi, “PAPR reduction using modified PTS scheme with fewer IFFT operations,” J. Commun. Technol. Electron., vol. 66, no. 2, pp. 195–200, Feb. 2021.
21. IEEE Std 802.16-2009, “IEEE Standard for Local and Metropolitan Area Networks—Part 16: Air Interface for Broadband Wireless Access Systems,” May 2009.
22. J. Armstrong, “Peak-to-average power reduction for OFDM by repeated clipping and frequency domain filtering,” Electron. Lett., vol. 38, no. 5, pp. 246–247, Feb. 2002.
23. S. Hara and R. Prasad, “Overview of multicarrier CDMA,” IEEE Commun. Mag., vol. 35, no. 12, pp. 126–133, Dec. 1997.
24. Y. C. Wang and Z. Q. Luo, “Optimized iterative clipping and filtering for PAPR reduction of OFDM signals,” IEEE Trans. Commun., vol. 59, no. 1, pp. 33–37, Jan. 2011.
25. A. A. Farid and M. H. Ahmed, “Energy efficient OFDM system using SLM technique with low computational complexity,” in Proc. IEEE Veh. Technol. Conf. (VTC Spring), 2019, pp. 1–5.
26. S. Kaiser, “OFDM code-division multiplexing in fading channels,” IEEE Trans. Commun., vol. 50, no. 8, pp. 1266–1273, Aug. 2002.
27. S. Patel, “Optimizing Wiring Harness Minimization through Integration of Internet of Vehicles (IOV) and Internet of Things (IoT) with ESP-32 Module: A Schematic Circuit Approach,” Int. J. Res. Trends Innov., vol. 8, no. 9, pp. 95–103, 2023.
28. S. Patel, “Performance Analysis of Acoustic Echo Cancellation using Adaptive Filter Algorithms with Rician Fading Channel,” Int. J. Trend Sci. Res. Dev., vol. 6, no. 2, pp. 1541–1547, 2022.
29. S. Patel, “Enhancing Image Quality in Wireless Transmission through Compression and De-noising Filters,” Int. J. Trend Sci. Res. Dev., 2021.
30. R. Yadav, P. Moghe, M. Patidar, V. Jain, M. Tembhurney, and P. K. Patidar, “Performance Analysis of Side Lobe Reduction for Smart Antenna Systems Using Genetic Algorithms (GA),” in Proc. IEEE, 2023.
31. M. Patidar, S. K. Shukla, V. Tiwari, G. K. Prajapati, and M. Sahu, “An efficient design and implementation of a reversible logic CCNOT (Toffoli) gate in QCA for nanotechnology,” Mater. Today: Proc., vol. 5, 2023.
32. D. K. Sharma, P. Goyal, M. Patidar, M. H. Bhupatbhai, and M. Rangari, “An efficient design and demonstration of fault-effects in full-adder circuits based on quantum-dot computing circuits,” Mater. Today: Proc., 2023.
33. M. Patidar, N. Gupta, A. Jain, and N. Patidar, “The Role of Nanoelectronic Devices in a Smart City Ecosystem,” in AI-Centric Smart City Ecosystems: Technologies, Design and Implementation, CRC Press, 2022, pp. 85–109.
34. M. Patidar, U. Singh, S. K. Shukla, G. K. Prajapati, and N. Gupta, “An ultra-area-efficient ALU design in QCA technology using synchronized clock zone scheme,” J. Supercomput., Springer, pp. 1–30, 2022.