On Power Efficient M2M Data Transmission in a Mobile ... · PDF fileOn Power Efficient M2M...

J. Mueckenheim | M2M Mobile Data Transmission
07/05/15| Page 1
On Power Efficient M2M Data Transmission
in a Mobile Environment
Jens Mueckenheim
20. ITG-Fachtagung Mobilkommunikation, Osnabrueck 2015

07/05/15| Page 2
Agenda
Introduction
Data Transmission for Mobile M2M Applications
M2M Applications in the Mobile Environment
Adaptive M2M Transmission Algorithm
Simulation Study
Impact of the Parameter Settings
Conclusions/ Outlook

07/05/15| Page 3
M2M Communication in Mobile Networks
Large variety of M2M applications already in use
Stationary applications: metering of consumption data, environment monitoring, telemedicine, telemonitoring
Mobile M2M applications: tracking of goods (logistics), autonomous communication between vehicles (Car2X)
Communication over cellular systems
In parts of the world (nearly) complete coverage
Low cost connection to even hardly accessible locations
Often in 2G systems, 3G/ 4G upcoming
Challenges for cellular M2M communication
Occurrence of variable radio conditions
Times with bad or no radio link
Small data reports but for a high number of M2M devices

07/05/15| Page 4
M2M Applications in the Mobile Environment
Effects due to mobility of M2M applications
Radio link quality fluctuations: fading
Change of the radio connection: handover
Approach of the improved transmission algorithm to mobile M2M applications
Check radio link quality before transmission
Applied to less time-critical M2M applications
-20
-18
-16
-14
-12
-10
-8
-6
-4
-2
0
0 10 20 30 40 50
EcI0
/ d
B
time / seconds
UE#1
UE#2
Urban Scenario, 3 km/h

07/05/15| Page 5
Enhanced M2M Transmission Algorithm
Improved M2M algorithm with check for sufficient radio link quality
The estimated EcI0 must be higher than a threshold before transmitting
In case of bad radio link quality the report has to wait until EcI0 improves
Tunable parameters
EcI0-threshold
Retry waiting time
M2M report required
Measure EcI0 on the CPiCH
EcI0 EcI0 threshold ?
M2M report transmitted
YES
NO
Wait for retry waiting time

07/05/15| Page 6
Simulation Scenario
Parameter Value
# of NodeBs/
sectors 12 sites/ 3 sectors each
(wrap around)
Cell radius Urban: 1000 m Rural: 4000 m
Pathloss model COST 231 Okumura Hata urban/ rural
Shadow fading Urban: 7 dB standard deviation, 50 m correlation length
Rural: 5 dB standard deviation,
200 m correlation length
Channel model Urban: PedA3 Rural: VehA30
Mobility According to channel model
Max. UE power +21 dBm
Transp. Channel DCH, 384 kbit/s
# of UEs 360
Message size 500 Bytes, fixed size
Traffic model Chatty app./ 20 s think time Urban Scenario (4 sites)

07/05/15| Page 7
EcI0 Threshold Rural Scenario
Increased call duration at higher EcI0 threshold
Significant maximum duration without impact of algorithm
Reduced transmit power when more restrictive EcI0 threshold
Maximum power approaches UE power limit
0
5
10
15
20
25
30
35
40
45
no thr -15 -12 -9 -6
du
rati
on
/ s
eco
nd
s
EcIo threshold / dB
call duration
average
95%
-6
-2
2
6
10
14
18
22
26
no thr -15 -12 -9 -6
po
wer
/ d
Bm
EcIo threshold / dB
transmit power
average
95%

07/05/15| Page 8
EcI0 Threshold Rural Scenario (contd.)
Algorithm starts blocking transmission attempts when EcI0 below the threshold
Lower duration for active data transmission
Amount of retransmissions at high BLER decreased
Reduced energy consumption
0%
10%
20%
30%
40%
50%
60%
70%
no thr -15 -12 -9 -6
pro
bab
ility
EcIo threshold / dB
blocking
0%
20%
40%
60%
80%
100%
120%
no thr -15 -12 -9 -6
du
rati
on
EcIo threshold / dB
transmit duration

07/05/15| Page 9
EcI0 Threshold Urban Scenario
Increased call duration at higher EcI0 threshold
Better EcI0 conditions than in rural scenario
Reduced transmit power when more restrictive EcI0 threshold
Total power lower than in rural scenario
0
5
10
15
20
25
30
35
40
45
no thr -15 -12 -9 -6
du
rati
on
/ s
eco
nd
s
EcIo threshold / dB
call duration
average
95%
-6
-2
2
6
10
14
18
no thr -15 -12 -9 -6
po
wer
/ d
Bm
EcIo threshold / dB
transmit power
average
95%

07/05/15| Page 10
EcI0 Threshold Urban Scenario (contd.)
Effect of blocking similar to rural scenario
Overall blocking slightly lower in urban scenario
Effect of duration lower than in rural scenario
BLER already lower in urban scenario
Reduced energy consumption
0%
10%
20%
30%
40%
50%
60%
no thr -15 -12 -9 -6
pro
bab
ility
EcIo threshold / dB
blocking
0%
20%
40%
60%
80%
100%
120%
no thr -15 -12 -9 -6
du
rati
on
EcIo threshold / dB
transmit duration

07/05/15| Page 11
Retry Waiting Time Rural Scenario
Longer waiting time reduces the blocking of the algorithm
Call duration increased especially at maximum
Only small impact on transmission power and active transmission duration in rural scenario
0%
10%
20%
30%
40%
50%
60%
1 5 10 15 20
pro
bab
ility
retry time / s
blocking
0
5
10
15
20
25
30
1 5 10 15 20
du
rati
on
/ s
eco
nd
s
retry time / s
call duration
average
95%

07/05/15| Page 12
Retry Waiting Time Urban Scenario
0%
10%
20%
30%
40%
50%
60%
1 5 10 15 20
pro
bab
ility
retry time / s
blocking
0
5
10
15
20
25
1 5 10 15 20
du
rati
on
/ s
eco
nd
s
retry time / s
call duration
average
95%
Waiting time impacts blocking and call duration
Overall values somehow lower than in the rural scenario
Only small impact on transmission power and active transmission duration also in urban scenario

07/05/15| Page 13
Conclusions/ Outlook
Application of a power efficient reporting algorithm for M2M communication in a mobile environment
Transmission attempts only performed in good quality conditions
Useless transmissions avoided when in bad situation
Criterion based on a check of the EcI0 against a threshold
Performance studied by means of UMTS system simulations
Trade-off between the reduction of transmit power and an increase of the transmission delay
Tunable performance by adjusting the EcI0 threshold and the retry waiting time
Future work
Application of other measurement values for different conditions
Improvement of the algorithm: parameter adaptation

07/05/15| Page 14
Thank You !
Prof. Dr.-Ing. Jens Mueckenheim
Hochschule Merseburg
Fachbereich Informatik und Kommunikationssysteme
Eberhard-Leibnitz-Str. 2
D-06217 Merseburg
Tel: 03461-462925
Fax: 03461-462900
E-Mail: [email protected]
Internet: www.hs-merseburg.de
mailto:[email protected]:[email protected]:[email protected]://www.hs-merseburg.de/http://www.hs-merseburg.de/http://www.hs-merseburg.de/

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