def min_aggr(device, simulation_time, check_K=False):
prefix = "BottomUp::min-aggr\t"
duplex = 'TDD'
rn_status = {rn:{'Ai_result':aggr(rn, duplex)} for rn in device.childs}
for rn in rn_status.keys():
rate = rn.virtualCapacity/device.virtualCapacity
rn_status[rn].update({
'Ai_K':len(rn_status[rn]['Ai_result']),
'Ai_count':1,
'Bh_count':ceil(rate)
})
Bh_K = min([v['Ai_K'] for v in rn_status.values()])
mincycle_shrinking(rn_status, Bh_K)
Bh_check, Ai_check = mincycle_schedulability(rn_status, Bh_K)
# scheduling
Bh_result = [[] for i in range(Bh_K)]
Ai_result = [[] for i in range(Bh_K)]
if Bh_check and Ai_check:
for rn in rn_status.keys():
Bh = [device, rn]
# backhaul
for TTI in range(Bh_K):
if Bh_result[TTI]: continue
for i in range(rn_status[rn]['Bh_count']):
Bh_result[TTI+i] += Bh
break
# access
for i, TTI in enumerate(rn_status[rn]['Ai_result']):
Ai_result[i] += TTI
else:
Bh_result, Ai_result = schedule_failed(device)
if check_K:
return get_sleep_cycle(device, Bh_result, Ai_result)
mapping_pattern = m_2hop(device.tdd_config)
timeline = two_hop_realtimeline(
mapping_pattern,
simulation_time,
Bh_result,
Ai_result)
msg_warning("total awake: %d times" %\
(sum([1 for i in timeline['backhaul'] if i])+\
sum([1 for i in timeline['access'] if i])-\
sum([1 for i in range(len(timeline['access'])) \
if timeline['backhaul'][i] and timeline['access'][i]]
)), pre=prefix)
return timeline
def min_split(device, simulation_time):
prefix = "BottomUp::min-split\t"
duplex = 'TDD'
try:
rn_status = {
rn.name:{
'device':rn,
'result':split(rn, duplex),
'a-availability':False,
'b-availability':False,
'a-subframe-count':None,
'b-subframe-count': None
} for rn in device.childs
}
# minCycle availability check
b_min_cycle = min([len(rn_status[i]['result']) for i in rn_status])
check_mincycle(device, rn_status, b_min_cycle)
for (rn_name, info) in rn_status.items():
boundary_group = len(info['device'].childs)
# info['a-subframe-count'] = sum([1 for i in rn_status[rn_name]['result'] if i])
while not info['a-availability'] and boundary_group>1:
boundary_group -= 1
info['result'].update(split(info['device'], duplex, boundary_group))
check_mincycle(device, rn_status, b_min_cycle)
# info['a-subframe-count'] = sum([1 for i in rn_status[rn_name]['result'] if i])
# backhaul scheduling and scheduliability check
b_lbps_result = allocate_mincycle_backhaul(device, rn_status, b_min_cycle)
# access scheduling and scheduliability check
a_lbps_result = allocate_mincycle_access(rn_status, b_min_cycle)
mapping_pattern = m_2hop(device.tdd_config)
timeline = two_hop_realtimeline(
mapping_pattern,
simulation_time,
b_lbps_result,
a_lbps_result)
msg_warning("total awake: %d times" %\
(sum([1 for i in timeline['backhaul'] if i])+\
sum([1 for i in timeline['access'] if i])-\
sum([1 for i in range(len(timeline['access'])) \
if timeline['backhaul'][i] and timeline['access'][i]]
)), pre=prefix)
return timeline
except Exception as e:
msg_fail(str(e), pre=prefix)
def top_down(b_lbps, device, simulation_time):
prefix = "TopDown::%s \t" % (b_lbps)
duplex = 'TDD'
lbps_scheduling = {
'aggr': aggr,
'split': split,
'merge': merge
}
try:
lbps_result = lbps_scheduling[b_lbps](device, duplex)
b_lbps_result = [[j.name for j in i] for i in lbps_result]
lbps_failed = access_aggr(device, lbps_result)
a_lbps_result = [[j.name for j in i] for i in lbps_result]
a_lbps_result = [list(set(a_lbps_result[i])-set(b_lbps_result[i]))\
for i in range(len(a_lbps_result))]
mapping_pattern = m_2hop(device.tdd_config)
b_lbps_result = [getDeviceByName(device, i) for i in b_lbps_result]
a_lbps_result = [getDeviceByName(device, i) for i in a_lbps_result]
timeline = two_hop_realtimeline(
mapping_pattern,
simulation_time,
b_lbps_result,
a_lbps_result)
for rn in lbps_failed:
for TTI in range(len(timeline['backhaul'])):
if device.tdd_config[TTI%10] == 'D':
timeline['backhaul'][TTI].append(device)
timeline['backhaul'][TTI].append(rn)
if rn.tdd_config[TTI%10] == 'D':
timeline['access'][TTI].append(rn)
timeline['access'][TTI] += rn.childs
for i in range(len(timeline['backhaul'])):
timeline['backhaul'][i] = list(set(timeline['backhaul'][i]))
timeline['access'][i] = list(set(timeline['access'][i]))
msg_warning("total awake: %d times" %\
(sum([1 for i in timeline['backhaul'] if i])+\
sum([1 for i in timeline['access'] if i])-\
sum([1 for i in range(len(timeline['access'])) \
if timeline['backhaul'][i] and timeline['access'][i]]
)), pre=prefix)
return timeline
except Exception as e:
msg_fail(str(e), pre=prefix)
return
def merge_merge(device, simulation_time):
prefix = "BottomUp::merge-merge\t"
duplex = 'TDD'
try:
rn_status = {
rn.name:{
'device':rn,
'result':merge(rn, duplex, two_hop=True),
'a-subframe-count':None,
'b-subframe-count': None,
} for rn in device.childs
}
a_lbps_result = [[] for i in range(max([len(K['result']['access']) for K in rn_status.values()]))]
for (rn_name, info) in rn_status.items():
pkt_size = getAvgPktSize(info['device'])
DATA_TH = int(getDataTH(info['device'].virtualCapacity, pkt_size))
info['a-subframe-count'] = sum([1 for i in info['result']['access'] if i])
info['b-subframe-count'] = DATA_TH*info['a-subframe-count']*pkt_size/device.virtualCapacity
for i in range(len(info['result']['access'])):
a_lbps_result[i] += info['result']['access'][i]
failed_RN=[]
groups = [
{
'device': [i],
'K': len(rn_status[i.name]['result']['access'])
} for i in device.childs
]
while not schedulability([i['K'] for i in groups]):
groups.sort(key=lambda x:x['K'], reverse=True)
non_degraded_success = False
for source_G in groups:
for target_G in groups:
if target_G is not source_G and target_G['K'] == source_G['K']:
s_required = sum([rn_status[d.name]['b-subframe-count'] for d in source_G['device']])
t_required = sum([rn_status[d.name]['b-subframe-count'] for d in target_G['device']])
if s_required+t_required<source_G['K']:
non_degraded_success = True
source_G['device'] += target_G['device']
groups.remove(target_G)
break
else:
continue
break
if not non_degraded_success:
failed_RN = groups
break
if failed_RN:
b_lbps_result = [[rn for rn in device.childs]+[device]]*\
max([len(K['result']['access']) for K in rn_status.values()])
else:
# calc the times of waking up for group
max_K = max([G['K'] for G in groups])
groups.sort(key=lambda x: x['K'])
msg_execute("sleep cycle length = %d with %d groups" % \
(max_K, len(groups)), pre=prefix)
result = {i:[] for i in range(max_K)}
for G in groups:
base = 0
for i in list(result.keys()):
if not result[i]:
base = i
break
for TTI in range(base, len(result), G['K']):
result[TTI] = G['device'] + [device]
b_lbps_result = list(result.values())
mapping_pattern = m_2hop(device.tdd_config)
timeline = two_hop_realtimeline(
mapping_pattern,
simulation_time,
b_lbps_result,
a_lbps_result)
msg_warning("total awake: %d times" %\
(sum([1 for i in timeline['backhaul'] if i])+\
sum([1 for i in timeline['access'] if i])-\
sum([1 for i in range(len(timeline['access'])) \
if timeline['backhaul'][i] and timeline['access'][i]]
)), pre=prefix)
return timeline
except Exception as e:
msg_fail(str(e), pre=prefix)
def top_down(b_lbps, device, simulation_time, check_K=False):
prefix = "TopDown::TD-%s \t" % (b_lbps)
duplex = 'TDD'
lbps_scheduling = {
'aggr': aggr,
'split': split,
'merge': merge
}
def access_scheduling(device, lbps_result):
Bh_K = len(lbps_result)
rn_stauts = {
rn:{
'Ai_K':int(Bh_K/sum([1 for TTI in lbps_result if rn in TTI])),
'Bh_count':sum([1 for TTI in lbps_result if rn in TTI]),
'Ai_count':ceil(device.virtualCapacity/rn.virtualCapacity)
}
for rn in device.childs
}
# check access schedulability
# TD do not need check ackhaul schedulability
check = []
for rn in device.childs:
if rn_stauts[rn]['Ai_count']+1<=rn_stauts[rn]['Ai_K']:
check.append(True)
else:
check.append(False)
# scheduling failed
if not all(check):
Bh_result = [rn for rn in device.childs]
Bh_result.append(device)
Bh_result = [Bh_result]*Bh_K
Ai_result = [ue for rn in device.childs for ue in rn.childs]
Ai_result += device.childs
Ai_result = [Ai_result]*Bh_K
return Bh_result, Ai_result
# have schedulability
Bh_result = lbps_result
Ai_result = [[] for i in range(Bh_K)]
for rn in device.childs:
Ai_rn_result = [ue for ue in rn.childs]
Ai_rn_result.append(rn)
for cycle_start in range(0, Bh_K, rn_stauts[rn]['Ai_K']):
for TTI in range(rn_stauts[rn]['Ai_count']):
Ai_result[cycle_start+TTI] += Ai_rn_result
return Bh_result, Ai_result
try:
lbps_result = lbps_scheduling[b_lbps](device, duplex)
Bh_result, Ai_result = access_scheduling(device, lbps_result)
mapping_pattern = m_2hop(device.tdd_config)
if check_K:
return get_sleep_cycle(device, Bh_result, Ai_result)
timeline = two_hop_realtimeline(
mapping_pattern,
simulation_time,
Bh_result,
Ai_result)
for i in range(len(timeline['backhaul'])):
timeline['backhaul'][i] = list(set(timeline['backhaul'][i]))
timeline['access'][i] = list(set(timeline['access'][i]))
msg_warning("total awake: %d times" %\
(sum([1 for i in timeline['backhaul'] if i])+\
sum([1 for i in timeline['access'] if i])-\
sum([1 for i in range(len(timeline['access'])) \
if timeline['backhaul'][i] and timeline['access'][i]]
)), pre=prefix)
return timeline
except Exception as e:
msg_fail(str(e), pre=prefix)
return
def merge_merge(device, simulation_time, check_K=False):
prefix = "BottomUp::merge-merge\t"
duplex = 'TDD'
rn_status = {rn:{'Ai_result':merge(rn, duplex)} for rn in device.childs}
for rn in rn_status.keys():
rate = rn.virtualCapacity/device.virtualCapacity
rn_status[rn].update({
'Ai_K':len(rn_status[rn]['Ai_result']),
'Ai_count':sum([1 for TTI in rn_status[rn]['Ai_result'] if TTI])
})
rn_status[rn].update({'Bh_count':rn_status[rn]['Ai_count']*rate})
# backhaul merge
groups = [{
'device':[rn],
'Ai_K':rn_status[rn]['Ai_K'],
'Bh_count':rn_status[rn]['Bh_count']
} for rn in rn_status.keys()]
while sum([ceil(i['Bh_count'])/i['Ai_K'] for i in groups])>1:
groups.sort(key=lambda x:x['Ai_K'], reverse=True)
non_degraded_success = False
for source_G in groups:
for target_G in groups:
if target_G is not source_G\
and target_G['Ai_K'] == source_G['Ai_K']\
and ceil(target_G['Bh_count']+source_G['Bh_count'])<source_G['Ai_K']:
# check access schedulability respectively
target_Ai = sum([\
sum([1 for TTI in rn_status[rn]['Ai_result'] if TTI])\
for rn in target_G['device']])
source_Ai = sum([\
sum([1 for TTI in rn_status[rn]['Ai_result'] if TTI])\
for rn in source_G['device']])
if target_Ai+source_Ai>source_G['Ai_K']: break
non_degraded_success=True
source_G['device'] += target_G['device']
source_G['Bh_count'] += target_G['Bh_count']
groups.remove(target_G)
break
else: continue
break
if not non_degraded_success: break
# schedulability
Ai_check = []
for g in groups:
Ai_count = sum([rn_status[rn]['Ai_count'] for rn in g['device']])
check = True if Ai_count+ceil(g['Bh_count'])<=g['Ai_K'] else False
Ai_check.append(check)
Ai_check = all(Ai_check)
Bh_K = max([v['Ai_K'] for v in rn_status.values()])
Bh_check =\
True if sum([ceil(i['Bh_count'])/i['Ai_K']\
for i in groups])<=1 else False
# scheduling
Bh_result = [[] for i in range(Bh_K)]
Ai_result = [[] for i in range(Bh_K)]
if Bh_check and Ai_check:
for g in groups:
# backhaul
Bh = [rn for rn in g['device']]
Bh.append(device)
TTI = 0
while TTI<len(Bh_result):
if Bh_result[TTI]:
TTI += 1
continue
for count in range(ceil(g['Bh_count'])):
Bh_result[TTI+count] += Bh
TTI += g['Ai_K']
# access
Ai_group_result = [[] for i in range(g['Ai_K'])]
for rn in g['device']:
for TTI, v in enumerate(Ai_group_result):
Ai_group_result[TTI] += rn_status[rn]['Ai_result'][TTI]
for i, v in enumerate(Ai_group_result):
Ai_result[i] += v
else:
Bh_result, Ai_result = schedule_failed(device)
if check_K:
return get_sleep_cycle(device, Bh_result, Ai_result)
mapping_pattern = m_2hop(device.tdd_config)
timeline = two_hop_realtimeline(
mapping_pattern,
simulation_time,
Bh_result,
Ai_result)
msg_warning("total awake: %d times" %\
(sum([1 for i in timeline['backhaul'] if i])+\
sum([1 for i in timeline['access'] if i])-\
sum([1 for i in range(len(timeline['access'])) \
if timeline['backhaul'][i] and timeline['access'][i]]
)), pre=prefix)
return timeline
def min_split(device, simulation_time, check_K=False):
prefix = "BottomUp::min-split\t"
duplex = 'TDD'
rn_status = {rn:{'Ai_result':split(rn, duplex)} for rn in device.childs}
for rn in rn_status.keys():
rate = rn.virtualCapacity/device.virtualCapacity
rn_status[rn].update({
'Ai_K': len(rn_status[rn]['Ai_result']),
'Ai_count':sum([1 for TTI in rn_status[rn]['Ai_result'] if TTI])
})
rn_status[rn].update({'Bh_count':ceil(rn_status[rn]['Ai_count']*rate)})
Bh_K = min([v['Ai_K'] for v in rn_status.values()])
mincycle_shrinking(rn_status, Bh_K)
Bh_result = [[] for i in range(Bh_K)]
Ai_result = [[] for i in range(Bh_K)]
# scheduling
while True:
Bh_check, Ai_check = mincycle_schedulability(rn_status, Bh_K)
if Bh_check and Ai_check:
for rn in rn_status.keys():
Bh = [device, rn]
for TTI in range(Bh_K):
if Bh_result[TTI]: continue
for i in range(rn_status[rn]['Bh_count']):
Bh_result[TTI+i] += Bh
break
for i, TTI in enumerate(rn_status[rn]['Ai_result']):
Ai_result[i] += TTI
break
else:
# choose the target of reversing split
r_rn = None
for rn in rn_status.keys():
if rn_status[rn]['Ai_K'] == Bh_K\
and rn_status[rn]['Ai_count']>1:
r_rn = rn
break
if not r_rn:
Bh_result, Ai_result = schedule_failed(device)
break
groups = rn_status[r_rn]['Ai_count']
rn_status[r_rn].update({
'Ai_result':split(r_rn, duplex, groups-1)
})
rn_status[r_rn].update({
'Ai_K': len(rn_status[r_rn]['Ai_result']),
'Ai_count':sum([1 for TTI in rn_status[r_rn]['Ai_result'] if TTI])
})
Bh_K = rn_status[r_rn]['Ai_K']
mincycle_shrinking(rn_status, Bh_K)
if check_K:
return get_sleep_cycle(device, Bh_result, Ai_result)
mapping_pattern = m_2hop(device.tdd_config)
timeline = two_hop_realtimeline(
mapping_pattern,
simulation_time,
Bh_result,
Ai_result)
msg_warning("total awake: %d times" %\
(sum([1 for i in timeline['backhaul'] if i])+\
sum([1 for i in timeline['access'] if i])-\
sum([1 for i in range(len(timeline['access'])) \
if timeline['backhaul'][i] and timeline['access'][i]]
)), pre=prefix)
return timeline