def __init__(self, ident, x, y, z, antenna_count):
self.ident = ident
self.x = x
self.y = y
self.z = z
self.pu = None
self.stas = []
if antenna_count > 0:
self.antennas = create_ULA(self, antenna_count,
0.5 * params.Pathloss.wavelength)
else:
self.antennas = []
# statistics variables (move these to bog_waus?)
self.statistics_sta_sinr = []
self.sinr_intervals = []
self.sinr_interval_prev_t = None
self.sinr_interval_sinr_t = None
self.cwmin = params.Backoff.aCWmin
self.cca_state = WAU.CCAState.CH_IDLE
self.phy_state = WAU.PHYState.LISTEN
self.statistics_wau_mcsindex = []
self.statistics_tx_events = []
self.statistics_ntotalbytes = 0
self.tx_changelinkdr_us = -1
self.tx_nbytes = -1
self.tx_power_mW = 0
def __init__(self, ident, x, y, z, antenna_count):
self.ident = ident
self.x = x
self.y = y
self.z = z
if antenna_count > 0:
self.antennas = create_ULA(self, antenna_count, 0.5*params.Pathloss.wavelength)
else:
self.antennas = []
self.tx_power_mW = bog_dBm2mW(params.STA.TotalTxPower_dBm)
self.wau = None
self.noise_figure_dB = params.STA.NoiseFigure_dB
self.n_mW = bog_dBm2mW(get_noise_power(params.Frame.DATA_Bandwidth_MHz,
self.noise_figure_dB))
plt.figure()
for wau in WAUs:
plt.scatter(wau.x, wau.y, marker='^', color='black', s=70)
for sta in STAs:
plt.scatter(sta.x, sta.y, marker='*', color='red')
plt.xlabel(r'x (in meters)')
plt.ylabel(r'y (in meters)')
plt.title(r'Distribution of STAs in a sample D-MIMOO group')
plt.show()
n_WAUs = len(WAUs)
for sta in STAs:
sta.antennas = create_ULA(sta, params.General.nAntennas_STA,
0.5 * params.Pathloss.wavelength)
for wau in WAUs:
wau.antennas = create_ULA(wau, params.General.nAntennas_WAU,
0.5 * params.Pathloss.wavelength)
chan_wau2sta = Channel(STAs, WAUs, params.Pathloss.breakpoint_distance,
params.Pathloss.fc_GHz * 1e9,
params.Pathloss.k_factor_dB,
params.Pathloss.nlos_fading_stdev)
chan_wau2sta = chan_wau2sta._H / np.sqrt(
N_O) # Noise normalized channel gain matrix
indices = []
main_indices = []