|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 7, |
| 6 | + "metadata": {}, |
| 7 | + "outputs": [], |
| 8 | + "source": [ |
| 9 | + "import numpy as np\n", |
| 10 | + "import matplotlib.pyplot as plt\n", |
| 11 | + "from py3gpp import *" |
| 12 | + ] |
| 13 | + }, |
| 14 | + { |
| 15 | + "cell_type": "code", |
| 16 | + "execution_count": 58, |
| 17 | + "metadata": {}, |
| 18 | + "outputs": [], |
| 19 | + "source": [ |
| 20 | + "NFFT = 10\n", |
| 21 | + "ZERO_CARRIER = 400" |
| 22 | + ] |
| 23 | + }, |
| 24 | + { |
| 25 | + "cell_type": "code", |
| 26 | + "execution_count": 72, |
| 27 | + "metadata": {}, |
| 28 | + "outputs": [ |
| 29 | + { |
| 30 | + "name": "stdout", |
| 31 | + "output_type": "stream", |
| 32 | + "text": [ |
| 33 | + "PAPR = 9.322 dB\n" |
| 34 | + ] |
| 35 | + } |
| 36 | + ], |
| 37 | + "source": [ |
| 38 | + "cw = np.random.randint(0, 2, (2**NFFT - ZERO_CARRIER)*2)\n", |
| 39 | + "grid = np.zeros((2**NFFT, 1), np.complex128)\n", |
| 40 | + "grid[ZERO_CARRIER//2:-ZERO_CARRIER//2, 0] = nrSymbolModulate(cw, 'QPSK')\n", |
| 41 | + "waveform, _ = nrOFDMModulate(grid = grid)\n", |
| 42 | + "power = np.real(np.multiply(waveform, waveform.conj()))\n", |
| 43 | + "print(f\"PAPR = {10*np.log10(np.max(power)/np.mean(power)):.04} dB\")" |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "code", |
| 48 | + "execution_count": null, |
| 49 | + "metadata": {}, |
| 50 | + "outputs": [ |
| 51 | + { |
| 52 | + "name": "stdout", |
| 53 | + "output_type": "stream", |
| 54 | + "text": [ |
| 55 | + "PAPR = 6.304 dB\n" |
| 56 | + ] |
| 57 | + } |
| 58 | + ], |
| 59 | + "source": [ |
| 60 | + "grid[ZERO_CARRIER//2:-ZERO_CARRIER//2, 0] = nrTransformPrecode(nrSymbolModulate(cw, 'QPSK'), (2**NFFT - ZERO_CARRIER)//12)\n", |
| 61 | + "waveform, _ = nrOFDMModulate(grid = grid)\n", |
| 62 | + "power = np.real(np.multiply(waveform, waveform.conj()))\n", |
| 63 | + "print(f\"PAPR with DFT-s precoding = {10*np.log10(np.max(power)/np.mean(power)):.04} dB\")" |
| 64 | + ] |
| 65 | + } |
| 66 | + ], |
| 67 | + "metadata": { |
| 68 | + "kernelspec": { |
| 69 | + "display_name": "Python 3", |
| 70 | + "language": "python", |
| 71 | + "name": "python3" |
| 72 | + }, |
| 73 | + "language_info": { |
| 74 | + "codemirror_mode": { |
| 75 | + "name": "ipython", |
| 76 | + "version": 3 |
| 77 | + }, |
| 78 | + "file_extension": ".py", |
| 79 | + "mimetype": "text/x-python", |
| 80 | + "name": "python", |
| 81 | + "nbconvert_exporter": "python", |
| 82 | + "pygments_lexer": "ipython3", |
| 83 | + "version": "3.10.12" |
| 84 | + } |
| 85 | + }, |
| 86 | + "nbformat": 4, |
| 87 | + "nbformat_minor": 2 |
| 88 | +} |
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