Power Control Optimization Method for Transmitted Signals in OFDM Communication Systems

  • Jing GaoEmail author
  • Xiaochen Ding
  • Xin Song
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9377)


Orthogonal frequency division multiplexing (OFDM) introduces large peak power of transmitted signals in time, which can result in significant signal distortion in the presence of nonlinear amplifiers. Partial transmit sequence (PTS) are well-known techniques for peak-power reduction in OFDM.  However, the exhaustive search of phase factors in conventional PTS causes high computational complexity. In this paper, we present a suboptimal strategy for combining partial transmitted sequences that achieve good balance between computational complexity and power control performance. The simulation results show that the proposed algorithm can not only reduces the PAPR significantly, but also decreases the computational complexity




Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Tao, J., Wu, Y.Y.: An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM signals. IEEE Transactions on Broadcasting, 257–268 (2008)Google Scholar
  2. 2.
    Ou, J.L., Zeng, X.P., Tian, F.C., Wu, H.W.: Simplified Repeated Clipping and Filtering with Spectrum Mask for PAPR Reduction. Journal of Convergence Information Technology, 251–259 (2011)Google Scholar
  3. 3.
    Yang, L., Hu, W.J., Soo, K.K., Siu, Y.M.: Swapped SLM scheme for reducing PAPR of OFDM systems. Electronics Letters, 1608–1609 (2014)Google Scholar
  4. 4.
    Islam, M.A., Ahmed, N., Ahamed, N.U., Rahman, M., Aljunid, S.A.: PAPR Reduction in an OFDM system using Recursive Clipping and Filtering Technique. WSEAS Transactions on Communications, pp. 291–297 (2014)Google Scholar
  5. 5.
    Wang, C.L., Kum, S.J.: Novel Conversion Matrices for Simplifying the IFFT Computation of an SLM-Based Reduction Scheme for OFDM Systems. IEEE Transactions on Communications, 1903–1907 (2009)Google Scholar
  6. 6.
    Duanmu, C.J., Chen, H.T.: Reduction of the PAPR in OFDM Systems by Intelligently Applying Both PTS and SLM Algorithms. Wireless Personal Communications, 849–863 (2014)Google Scholar
  7. 7.
    Hong, E., Park, Y.G., Lim, S.C., Har, D.S.: Adaptive phase rotation of OFDM signals for PAPR reduction. IEEE Transactions on Consumer Electronics, 1491–1495 (2011)Google Scholar
  8. 8.
    Ku, S.J.: Low-Complexity PTS-Based Schemes for PAPR Reduction in SFBC MIMO-OFDM Systems. IEEE Transactions on Broadcasting, 650–658 (2014)Google Scholar
  9. 9.
    Cimini Jr., L.J., Sollenberger, N.R.: Peak-to-average power ratio reduction of an OFDM signal using partial transmit sequences. IEEE Communications Letters, 86–88 (2000)Google Scholar
  10. 10.
    Liao, T.J., Socha, K., et al.: Ant colony optimization for mixed-variable optimization problems. IEEE Transactions on Evolutionary Computation, 503–518 (2014)Google Scholar
  11. 11.
    Tran, T.D., Zelinka, I., Vo, H.D.: Use of Simulated Annealing for Adaptive Control System. International Journal of Energy Optimization and Engineering, 42–54 (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

<SimplePara><Emphasis Type="Bold">Open Access</Emphasis> This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (, which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. </SimplePara> <SimplePara>The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.</SimplePara>

Authors and Affiliations

  1. 1.School of Information Science and EngineeringNortheastern UniversityShenyangChina

Personalised recommendations