Telecommunications Science ›› 2022, Vol. 38 ›› Issue (7): 63-74.doi: 10.11959/j.issn.1000-0801.2022155

• Research and Development • Previous Articles     Next Articles

PAPR optimization based on SLM and PTS algorithms in NC-OFDM systems

Jie ZHOU1,2, Bernardo Esono Esono Mikue1, Xueying WANG1, Huiting ZHOU1, Hong LUO2   

  1. 1 School of Electronic and Information, Nanjing University of Information Science and Technology, Nanjing 210044, China
    2 Library, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Revised:2022-07-06 Online:2022-07-20 Published:2022-07-01
  • Supported by:
    The National Natural Science Foundation of China(61971167);The National Natural Science Foundation of China(62101275);The National Natural Science Foundation of China(62101274)

Abstract:

Based on the non-continuous orthogonal frequency division multiplexing (NC-OFDM) model, a fusion optimization technology based on selected mapping (SLM) algorithm and partial transmit sequence (PTS) algorithm was proposed, and a system model of fusion technology was designed.Through simulation comparison with other literature methods, it was verified that the SLM-PTS fusion technology had excellent peak to average power ratio (PAPR) reduction ability, but the algorithm implementation complexity was too high.Therefore, a complementary SLM-Clipping fusion solution was proposed, and the deep learning method PAPRnet model was construted.The simulation results verif that prove the effectiveness of the method, the algorithm has an excellent PAPR suppressed effect on the NC-OFDM system, and greatly improves the computational efficiency.

Key words: NC-OFDM, SLM algorithm, PTS algorithm, fusion algorithm, deep learning algorithm

CLC Number: 

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