Research on Peak-to-average Ratio Suppression Technology and Algorithms Based on Symbol-level Precoding
LIN Yuanzhong
CAI Shu
Abstract：In response to the problem of high Peak-to-Average Power Ratio(PAPR)in multi input multiple output-orthogo-nal frequency division multiplexing(MIMO-OFDM)systems,symbol level precoding(SLP)is utilized to convert harmful multi-us-er interference(MUI)into the required signal gain,a peak-to-average ratio suppression scheme based on SLP is proposed.Firstly,this paper establishes the signal model of MIMO-OFDM system and SLP,and establishes the joint design optimization problem of SLP and low PAPR under the constraints of transmission power and symbol-level precoding scheme.Due to its non convex nature and large number of constraints,it is difficult to efficiently solve the problem.A dual iteration optimization algorithm based on the di-chotomy fast iterative truncation algorithm(FITRA)is proposed,which suppresses PAPR through the inner layer FITRA algorithm and maximizes the signal to interference-plus-noise ratio(SINR)of the received signal through the outer layer dichotomy to achieve good communication performance.Finally,the effectiveness and related performance indicators of the proposed algorithm are ana-lyzed and evaluated through simulation.
Keywords：MIMO-OFDMPAPRSLPdichotomy-FITRA double iterative optimization algorithm
Publication Date：2025-04-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 921-925,967 )