def test_disableFSF(self):
"""Disable Frequency Selective Fading"""
# Single cell single user
wconf = copy.copy(self.wconf)
wconf.hexTiers = 0
wconf.usersPerCell = 1
wconf.consideredTiers = 0
wconf.sectorsPerBS = 1
wconf.enableFrequencySelectiveFading = False
world1 = world.World(wconf, self.phy)
world1.associatePathlosses()
world1.calculateSINRs()
# There is only one pathloss, no fsf, no interference
# So SINR == SNR == 40*SINR_Optim
# Center_CSI = any CSI
mob = world1.mobiles[0]
bs = world1.baseStations[0]
cell = bs.cells[0]
CSI = mob.baseStations[bs]['cells'][cell]['CSI_OFDMA'][0,0,0,0] # select any, they are equal
# pathgain
np.testing.assert_allclose(mob.baseStations[bs]['cells'][cell]['pathgain'], CSI**2)
# SINR
np.testing.assert_allclose(mob.SINR, utils.dBmTomW(46)*CSI**2/mob.noiseIfPower)
# CSI Quant
CSI_Quant = np.mean(np.mean(mob.baseStations[bs]['cells'][cell]['CSI_OFDMA'])) # the generated value for RCG is the average over all (four) MIMO channels. Without FSF, two tof them are zero. The CSI is therefore half of the CSI_Optim above. Since all RBs are scaled equally, the RCG outcome is unaffected
np.testing.assert_allclose(mob.baseStations[bs]['cells'][cell]['pathgain'], (2*CSI_Quant)**2)
# test that fading and CSI are now the same
wconf = copy.copy(self.wconf)
wconf.hexTiers = 1
wconf.usersPerCell = 2
wconf.consideredTiers = 1
wconf.sectorsPerBS = 3
wconf.enableFrequencySelectiveFading = False
world2 = world.World(wconf, self.phy)
world2.associatePathlosses()
world2.calculateSINRs()
# What do I know and can I test on a larger network?
for mob in world2.mobiles:
CSI = mob.baseStations[mob.BS]['cells'][mob.cell]['CSI_OFDMA'][0,0,0,0]
SINR = mob.SINR
pathgain = mob.baseStations[mob.BS]['cells'][mob.cell]['pathgain']
# pathgain
np.testing.assert_allclose(pathgain, CSI**2) # CSI is unchanged from the single user case
# SINR
np.testing.assert_allclose(SINR, utils.dBmTomW(46)*CSI**2/mob.noiseIfPower) # only without fsf, this is true
# CSI Quant
CSI_Quant = np.mean(np.mean(mob.baseStations[mob.BS]['cells'][mob.cell]['CSI_OFDMA']))
np.testing.assert_allclose(mob.baseStations[mob.BS]['cells'][mob.cell]['pathgain'], (2* CSI_Quant)**2)
# SINR Quant
SINR_Quant = (2*CSI_Quant)**2/ mob.noiseIfPower
np.testing.assert_allclose(mob.SINR, utils.dBmTomW(46)*SINR_Quant)
# all mobiles are known to cells
self.assertTrue(len(set.union(*[c.mobiles for c in world2.cells]))==len(world2.mobiles))
def __init__(self,
center,
phy,
direction=None,
antennas=2,
initial_power='full',
sleep_alignment=None):
self.antennas = antennas # number of transmission antennas
self.phy = phy
self._OFDMA_power = None # numpy array. Stores transmission power on each RB
self._initial_power = initial_power
self._outmap = np.ones([
phy.numFreqChunks, phy.numTimeslots
]) # user allocation numpy array. Contains mobile ids.
self._outmap[:] = np.nan
self.pMax = utils.dBmTomW(phy.pMax) # config file is in dB
self._direction = direction # direction of the antennas. Important for directional fading. Defaults to omnidirectional (None)
self._center = center # transitional property. Direction is from base station position to cell center.
self.cellid = Cell.idcounter # cosmetic, for plots
Cell.idcounter += 1
self._sleep_alignment = sleep_alignment
self._sleep_slot_priority = None
self.mobiles = set()
self.neighbors = set()
self.dtxs = Dtx_segregator(
self.phy.numTimeslots) # TODO: Only create this when it's needed
def __init__(self, center, phy, direction=None, antennas=2, initial_power="full", sleep_alignment=None):
self.antennas = antennas # number of transmission antennas
self.phy = phy
self._OFDMA_power = None # numpy array. Stores transmission power on each RB
self._initial_power = initial_power
self._outmap = np.ones(
[phy.numFreqChunks, phy.numTimeslots]
) # user allocation numpy array. Contains mobile ids.
self._outmap[:] = np.nan
self.pMax = utils.dBmTomW(phy.pMax) # config file is in dB
self._direction = (
direction
) # direction of the antennas. Important for directional fading. Defaults to omnidirectional (None)
self._center = center # transitional property. Direction is from base station position to cell center.
self.cellid = Cell.idcounter # cosmetic, for plots
Cell.idcounter += 1
self._sleep_alignment = sleep_alignment
self._sleep_slot_priority = None
self.mobiles = set()
self.neighbors = set()
self.dtxs = Dtx_segregator(self.phy.numTimeslots) # TODO: Only create this when it's needed
