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plot_fig07e_varying.py
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plot_fig07e_varying.py
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########################################
# plot_fig07d_anaa_practical.py
#
# Description. Script used to actually plot Fig. 07 (d) of the paper.
#
# Author. @victorcroisfelt
#
# Date. December 29, 2021
#
# This code is part of the code package used to generate the numeric results
# of the paper:
#
# Croisfelt, V., Abrão, T., and Marinello, J. C., “User-Centric Perspective in
# Random Access Cell-Free Aided by Spatial Separability”, arXiv e-prints, 2021.
#
# Available on:
#
# https://arxiv.org/abs/2107.10294
#
# Comment. Please, make sure that you have the required data files. They are
# obtained by running the scripts:
#
# - data_fig07_08_bcf.py
# - data_fig07_08_cellular.py
# - data_fig07_08_cellfree.py
#
########################################
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import warnings
########################################
# Preamble
########################################
# Comment the line below to see possible warnings related to python version
# issues
warnings.filterwarnings("ignore")
axis_font = {'size':'12'}
plt.rcParams.update({'font.size': 12})
matplotlib.rc('xtick', labelsize=12)
matplotlib.rc('ytick', labelsize=12)
matplotlib.rc('text', usetex=True)
matplotlib.rcParams['text.latex.preamble']=[r"\usepackage{amsmath}"]
########################################
# Loading data
########################################
data_bcf = np.load('data/fig07e_bcf.npz')
data_cellfree_est1 = np.load('data/fig07e_cellfree_est1.npz')
data_cellfree_est2 = np.load('data/fig07e_cellfree_est2.npz')
data_cellfree_est3 = np.load('data/fig07e_cellfree_est3.npz')
# Extract x-axis
L_range = data_cellfree_est1["L_range"]
N_range = data_cellfree_est1["N_range"]
# Extract ANAA
anaa_bcf = data_bcf["anaa"]
anaa_cellfree_est1 = data_cellfree_est1["anaa"]
anaa_cellfree_est2 = data_cellfree_est2["anaa"]
anaa_cellfree_est3 = data_cellfree_est3["anaa"]
########################################
# Plot
########################################
# Fig. 07e
fig, ax = plt.subplots(figsize=(4/3 * 3.15, 2))
#fig, ax = plt.subplots(figsize=(1/3 * (6.30), 3))
# Go through all values of N
for nn, N in enumerate(N_range):
plt.gca().set_prop_cycle(None)
if N == 1:
# BCF
ax.plot(L_range[:-2], anaa_bcf[:-2], linewidth=1.5, linestyle=(0, (3, 1, 1, 1, 1, 1)), color='black', label='BCF')
ax.plot(L_range[:-2], anaa_cellfree_est1[:-2, nn], linewidth=1.5, linestyle='--', color='black', label='CF-SUCRe: Est. 1')
ax.plot(L_range[:-2], anaa_cellfree_est2[:-2, nn], linewidth=1.5, linestyle='-.', color='black', label='CF-SUCRe: Est. 2')
ax.plot(L_range[:-2], anaa_cellfree_est3[:-2, nn], linewidth=1.5, linestyle=':', color='black', label='CF-SUCRe: Est. 3')
ax.plot(L_range[:-2], anaa_cellfree_est1[:-2, nn], linewidth=1.5, linestyle='--')
ax.plot(L_range[:-2], anaa_cellfree_est2[:-2, nn], linewidth=1.5, linestyle='-.')
ax.plot(L_range[:-2], anaa_cellfree_est3[:-2, nn], linewidth=1.5, linestyle=':')
elif N == 8:
ax.plot(L_range[:-2], anaa_cellfree_est1[:-2, nn], linewidth=1.5, linestyle='--')
ax.plot(L_range[:-2], anaa_cellfree_est2[:-2, nn], linewidth=1.5, linestyle='-.')
ax.plot(L_range[:-2], anaa_cellfree_est3[:-2, nn], linewidth=1.5, linestyle=':')
plt.gca().set_prop_cycle(None)
if N == 1:
ax.plot(L_range[:-2], anaa_cellfree_est1[:-2, nn], linewidth=0.0, marker='^', color='black', label='$N=1$')
ax.plot(L_range[:-2], anaa_cellfree_est1[:-2, nn], linewidth=0.0, marker='^')
ax.plot(L_range[:-2], anaa_cellfree_est2[:-2, nn], linewidth=0.0, marker='^')
ax.plot(L_range[:-2], anaa_cellfree_est3[:-2, nn], linewidth=0.0, marker='^')
elif N == 8:
ax.plot(L_range[:-2], anaa_cellfree_est1[:-2, nn], linewidth=0.0, marker='v', color='black', label='$N=8$')
ax.plot(L_range[:-2], anaa_cellfree_est1[:-2, nn], linewidth=0.0, marker='v')
ax.plot(L_range[:-2], anaa_cellfree_est2[:-2, nn], linewidth=0.0, marker='v')
ax.plot(L_range[:-2], anaa_cellfree_est3[:-2, nn], linewidth=0.0, marker='v')
def forward(x):
return x**(1/2)
def inverse(x):
return x**2
ax.set_xscale('function', functions=(forward, inverse))
ax.set_xticks(L_range[:-2])
ax.set_yticks(np.array([1, 3, 5, 7, 9, 10]))
ax.grid(visible=True, alpha=0.25, linestyle='--')
ax.set_xlabel(r'number of APs $L$')
ax.set_ylabel('ANAA')
ax.legend(fontsize='xx-small', markerscale=.5)
plt.show()