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All-Pass Filters as a Low-Complexity PAPR Reduction Scheme for SC-FDMA System

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Abstract

This paper presents a low-complexity peak-to-average power ratio (PAPR) reduction scheme for single-carrier frequency division multiple access (SC-FDMA) system that is based on all-pass filters (APFs). The basic idea of the APF scheme is that it allows a flat magnitude response with a non-linear phase response. This means that this type of filters passes all frequency content of the input signal, while the phase is severely or intentionally degraded. This idea is well-exploited in this paper for generating random phase sequences that can be treated as multiple versions of an input sequence for the SC-FDMA system. The heart of traditional PAPR reduction techniques such as the conventional selective mapping and blind selective mapping schemes is the generation of multiple random phase sequences for the proper selection of the sequence that achieves the minimum PAPR. This can be accomplished through multiple inverse fast Fourier transform (IFFT) operations, which add more complexity to the system performance. In contrary, with the proposed APF scheme, we generate the signals with different phases through passing the original signal through multiple APFs with different phase responses, which reduces the system complexity.

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References

  1. Prasad, R. (2004). OFDM for wireless communications systems. Artech House Publishers.

    Google Scholar 

  2. Hara, S., & Prasad, R. (2003). Multicarrier techniques for 4G mobile communications. Artech House Publishers.

    Google Scholar 

  3. Cho, Y. S., Kim, J., Yang, W. Y., & Kang, C. G. (2010). MIMO-OFDM wireless communications with Matlab. IEEE Press, Wiley.

  4. Myung, H. G., Lim, J., & Goodman, D. J. (2006). Single carrier FDMA for uplink wireless transmission. IEEE Vehicular Technology Magazine, 1(3), 30–38.

    Article  Google Scholar 

  5. 3GPP TS 36.211. (2015). LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation.

  6. Ji, J., Ren, G., & Zhang, H. (2015). PAPR reduction of SC-FDMA signals via probabilistic pulse shaping. IEEE Transactions on Vehicular Technology, 64(9), 3999–4008.

    Article  Google Scholar 

  7. Wu, K., Ren, G., & Yu, M. (2015). PAPR reduction of SC-FDMA signals using optimized additive pre-distortion. Letter, 19(8), 1446–1449.

    Google Scholar 

  8. Wunder, G., Fischer, R. F. H., Boche, H., Litsyn, S., & No, J.-S. (2013). The PAPR problem in OFDM transmission: New directions for a long-lasting problem. IEEE Signal Processing Magazine, 30(6), 130–144.

    Article  Google Scholar 

  9. Banelli, P., Buzzi, S., Colavolpe, G., Modenini, A., Rusek, F., & Ugolini, A. (2014). Modulation formats and waveforms for 5G networks: Who will be the heir of OFDM?: An overview of alternative modulation schemes for improved spectral efficiency. IEEE Signal Processing Magazine, 31(6), 80–93.

    Article  Google Scholar 

  10. Yu, H., & Wei, G. (2017). Choosing the optimal clipping ratio for clipping and filtering PAR-reduction scheme in OFDM. In 2007 international conference on wireless communications, networking and mobile computing, 21–25 September 2007 (pp. 460–463).

  11. Meza, C. A., Lee, K., & Lee, K. (2012). PAPR reduction in SC-FDMA by pulse shaping using parametric linear combination pulses. IEEE Communications Letters, 16(12), 2008–2011.

    Article  Google Scholar 

  12. Slimane, S. B. (2007). Reducing the peak-to-average power ratio of OFDM signals through precoding. IEEE Transactions on Vehicular Technology, 56(2), 686–695.

    Article  MathSciNet  Google Scholar 

  13. Yuen, C. H., & Farhang-Boroujeny, B. (2012). Analysis of the optimum precoder in SC-FDMA. IEEE Transactions on Wireless Communications, 11(11), 4096–4107.

    Article  Google Scholar 

  14. Jiang, T., & Zhu, G. (2005). Complement block coding for reduction in peak-to-average power ratio of OFDM signals. IEEE Communications Magazine, 43, S17–S22.

    Article  Google Scholar 

  15. Trivedi, V. K., & Kumar, P. (2017). Carrier interferometry coded single carrier FDMA (CI/SC-FDMA) for next generation underwater acoustic communication. Wireless Personal Communication, 95, 4747–4762.

    Article  Google Scholar 

  16. Krongold, B. S., & Jones, D. L. (2004). An active-set approach for OFDM PAR reduction via tone reservation. IEEE Transactions on Signal Processing, 52(2), 495–509.

    Article  MathSciNet  MATH  Google Scholar 

  17. Han, S. H., Cioffi, J. M., & Lee, J. H. (2006). Tone injection with hexagonal constellation for peak-to-average power ratio reduction in OFDM. IEEE Communications Letters, 10(9), 646–648.

    Article  Google Scholar 

  18. Yang, L., Soo, K. K., Li, S. Q., & Siu, Y. M. (2011). PAPR reduction using low complexity PTS to construct Of OFDM signals without side information. IEEE Transactions on Broadcasting, 57(2), 284–290.

    Article  Google Scholar 

  19. Shri Ramtej, K., & Anuradha, S. (2019). Exponential companding transform to mitigate PAPR in SC-FDMA systems. In IEEE international conference, photonics & electromagnetics research symposium—Spring (PIERS-SPRING), Rome, Italy, 17–20 June 2019.

  20. Xu, Y., Oh, J.-Y., Sun, Z., & Lim, M.-S. (2019). A novel method for PAPR reduction of the OFDM signal using nonlinear scaling and FM. Frontiers of Information Technology & Electronic Engineering, 20(11), 1587–1594.

    Article  Google Scholar 

  21. Kondamuri, S. R., & Sundru, A. (2020). Non linear companding transform to mitigate PAPR in DCT based SC-FDMA system. Wireless Personal Communication, 112, 503–522.

    Article  Google Scholar 

  22. Bharati, S., & Podder, P. (2020). Adaptive PAPR reduction scheme for OFDM using SLM with the fusion of proposed clipping and filtering technique in order to diminish PAPR and signal distortion. Wireless Personal Communications, 113, 2271–2288.

    Article  Google Scholar 

  23. Kumar, K. K., Babu, A. Y., & Krishna, B. T. (2019). Regressive group phase weighting in PTS combined with SLM approach for PAPR reduction in OFDM systems. Cluster Computing, 22, S10897–S10903.

    Article  Google Scholar 

  24. Mohammad, A., Zekry, A., & Newagy, F. (2012). A time domain SLM for PAPR reduction in SC-FDMA systems. In Proceedings of the IEEE Global High Tech Congress on Electronics, Shenzhen, China (pp. 143–147).

  25. Duan, Y., Li, Y., Li, Z., Liu, S., & Wu, C. (2012). A new SLM method with feedback searching for uplink SC-FDMA system. In Proceedings of 8th IEEE international conference on wireless communication, networking and mobile computing, Shanghai, China (pp. 1–4).

  26. Bäuml, R. W., Fischer, R. F. H., & Huber, J. B. (1996). Reducing the peak-to average power ratio of multicarrier modulation by selected mapping. IEE Electronics Letters, 32(22), 2056–2057.

    Article  Google Scholar 

  27. Lim, D., No, J., Lim, C., & Chung, H. (2005). A new SLM OFDM scheme with low complexity for PAPR reduction. IEEE Signal Processing Letters, 12(2), 93–96.

    Article  Google Scholar 

  28. Yang, L., Soo, K. K., Siu, Y. M., & Li, S. Q. (2008). A low complexity selected mapping scheme by use of time domain sequence superposition technique for PAPR reduction in OFDM system. IEEE Transactions on Broadcasting, 54(4), 821–824.

    Article  Google Scholar 

  29. Heo, S., Noh, H., & Shin, D. (2007). A modified SLM scheme with low complexity for PAPR reduction of OFDM systems. IEEE Transactions on Broadcasting, 53(4), 804–808.

    Article  Google Scholar 

  30. Oppenheim, A. V., Schafer, R. W., & Buck, J. R. (1999). Discrete-time signal processing. Upper Saddle River.

    Google Scholar 

  31. Hong, E., & Har, D. (2010). Peak-to-average power ratio reduction in OFDM systems using all-pass filters. IEEE Transactions Broadcasting, 56(1), 114–119.

    Article  Google Scholar 

  32. Le Goff, S. Y., Al-Samahi, S. S., Khoo, B. K., Tsimenidis, C. C., & Sharif, B. S. (2009). Selected mapping without side information for PAPR reduction in OFDM. IEEE Transactions on Wireless Communications, 8(7), 3320–3325.

    Article  Google Scholar 

  33. Boonkajay, A., & Adachi, F. (2017). Blind selected mapping technique for space-time block coded transmit diversity with transmit frequency-domain equalization. IEICE Technical Report, RCS2016-290.

  34. Abd El-Hamed, M. A., Zekry, A., Elagooz, S. S., & Abd El-Samie, F. E. (2018). Blind selective mapping for single-carrier frequency division multiple access system. Digital Signal Processing, 75, 25–37.

    Article  MathSciNet  Google Scholar 

  35. Thakur, A., & Dhillon, N. (2015). Hybrid approach using SLM and PTS techniques to reduce PAPR. International Journal of Science and Research (IJSR), 4(5), 173–177.

    Google Scholar 

  36. Boonkajay, A., Obara, T., Yamamoto, T., & Adachi, F. (2013). Selective mapping for broadband single-carrier transmission using joint Tx/Rx MMSE-FDE. In Proceedings of the IEEE international symposium on personal indoor and mobile radio communications (PIMRC 2013), London, U.K

  37. Badran, E. F., & El-Helw, A. M. (2011). A novel semi-blind selected mapping technique for PAPR reduction in OFDM. IEEE Signal Processing Letter, 18(9), 493–496.

    Article  Google Scholar 

  38. Boonkajay, A., & Adachi, F. (2015). A blind selected mapping technique for low-PAPR single-carrier signal transmission. In 10th international conference on information, communication and signal processing (ICICS), Singapore. IEEE.

  39. Zhou, G. T., & Peng, L. (2006). Optimality condition for selected mapping in OFDM. IEEE Transactions on Signal Processing, 54(8), 3159–3165.

    Article  MATH  Google Scholar 

  40. Chang, M.-X., & Chang, W.-Y. (2017). Maximum-likelihood detection for MIMO systems based on differential metrics. IEEE Transactions on Signal Processing, 65(14), 3718–3732.

    Article  MathSciNet  MATH  Google Scholar 

  41. Chen, P., Xiao, Y., & Li, S. (2007). Improved SLM for PAPR reduction in OFDM system. In IEEE international symposium personal, indoor and mobile radio communication (PIMRC’2007) (pp. 1–5).

  42. Tellambura, C. (2001). Computation of the continuous-time PAR of an OFDM signal with BPSK subcarriers. IEEE Communications Letter, 5(5), 185–187.

    Article  Google Scholar 

  43. Rahmatallah, Y., & Mohan, S. (2013). Peak-to-average power ratio reduction in OFDM systems: A survey and taxonomy. IEEE Communication Surveys & Tutorials, 15(4), 1567–1592.

    Article  Google Scholar 

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Correspondence to Mohamed A. Abdelhamed.

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Abdelhamed, M.A., Zekry, A., Elagooz, S.S. et al. All-Pass Filters as a Low-Complexity PAPR Reduction Scheme for SC-FDMA System. Wireless Pers Commun 124, 967–987 (2022). https://doi.org/10.1007/s11277-021-08375-6

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