Selective Mapping Method (SLM) for PAPR Reduction in Orthogonal Frequency Division Multiplexing (OFDM) Systems

The Selective Mapping Method (SLM) for Orthogonal Frequency Division Multiplexing (OFDM) effectively suppresses Peak-to-Average Power Ratio (PAPR). Below is a runnable MATLAB source code example that demonstrates the complete OFDM transmission chain: The code begins with OFDM parameter configuration, where N specifies the number of subcarriers and M defines the constellation size for modulation. Random data generation creates transmission symbols using random integer values within the constellation range. Signal mapping utilizes QAM modulation to convert digital data to complex constellation symbols. The SLM method section requires implementation of phase rotation vectors and multiple candidate signal generation to select the waveform with minimum PAPR. OFDM modulation employs inverse Fast Fourier Transform (IFFT) to convert frequency-domain symbols to time-domain signals. Channel noise simulation typically involves Additive White Gaussian Noise (AWGN) with specified signal-to-noise ratio. The reception chain includes OFDM demodulation through FFT operation, followed by QAM demodulation to recover transmitted data. Bit error rate calculation compares original and recovered data to evaluate system performance. % OFDM parameter configuration N = 64; % Number of subcarriers M = 16; % Constellation size % Generate random transmit data data = randi([0 M-1], 1, N); % Constellation mapping using QAM modulation symbols = qammod(data, M); % Selective Mapping Method implementation % This section requires phase sequence generation and candidate signal creation % with PAPR calculation and optimal signal selection % OFDM modulation through IFFT operation ofdmSignal = ifft(symbols, N); % Add channel noise simulation % Typically implemented using awgn() function with specified SNR % OFDM demodulation via FFT processing receivedSignal = fft(ofdmSignal, N); % Demodulate received symbols to recover data recoveredData = qamdemod(receivedSignal, M); % Calculate bit error rate performance bitErrors = sum(data ~= recoveredData); bitErrorRate = bitErrors / N; % Display system performance results disp(['Bit Error Rate: ', num2str(bitErrorRate)]); This example provides a framework for OFDM system implementation with SLM-based PAPR reduction. Feel free to ask if you have any technical questions about the implementation details or algorithm extensions.