sd_tot = []
for k in range(cfg.N):
for j in range(len(cfg.position)):
# The mobile station position
mobile = [cfg.position[j][0], cfg.position[j][1]]
# Calculate distance between APs to MS
# [0: x, 1: y, 2: direction, 3: distance]
aps_dist = copy.deepcopy(cfg.aps)
n_ap = len(aps_dist)
for i in range(n_ap):
aps_dist[i].append(math.sqrt((aps_dist[i][0] - mobile[0]) ** 2 + (aps_dist[i][1] - mobile[1]) ** 2))
# remove AP if it is saturated
aps = fn.remove_sat(aps_dist)
# Find valid crossings
# [0: ap_1, 1: ap_2]
ap_cross = fn.find_crossings(aps)
# Number of access points
n_ap = len(aps)
# Calculate global angles from APs to the MS
# [0: x, 1: y, 2: direction, 3: distance, 4: global_angle]
aps = fn.global_angle(aps, mobile)
# Calculate local angles from APs to the MS
# [0: x, 1: y, 2: direction, 3: distance, 4: global_angle, 5: local_angle]
for i in range(n_ap):
import config as cfg
import functions as fn
import matplotlib.pyplot as plt
import math
# The mobile station position [0:x, 1:y]
mobile = [40, 20]
# Calculate distance between APs to MS
# [0: x, 1: y, 2: direction, 3: distance]
n_ap = len(cfg.aps)
for i in range(n_ap):
cfg.aps[i].append(math.sqrt((cfg.aps[i][0] - mobile[0]) ** 2 + (cfg.aps[i][1] - mobile[1]) ** 2))
# remove AP if it is saturated
aps = fn.remove_sat(cfg.aps)
# Number of access points
n_ap = len(aps)
# Find valid crossings
# [0: ap_1, 1: ap_2]
ap_cross = fn.find_crossings(aps)
# Calculate global angles from APs to the MS
# [0: x, 1: y, 2: direction, 3: distance, 4: global_angle]
aps = fn.global_angle(aps, mobile)
# Calculate local angles from APs to the MS
# [0: x, 1: y, 2: direction, 3: distance, 4: global_angle, 5: local_angle]
for i in range(n_ap):
