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cdma2000 1xEV-DO Rev.A Scheduling
Algorithm BSC 6600Cluster Pekanbaru
Date : 06 Feb 2012
Prepared by : EVDO Project Team
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Current Condition at Pekanbaru
Page 2
Pekanbaru has low average user throughput under 300 Kbps, this cluster will be implemented Scheduling Algorithm for Average User Throughput improvement.
Pekanbaru has low average user throughput under 300 Kbps, this cluster will be implemented Scheduling Algorithm for Average User Throughput improvement.
Slide title :32-35pt Color: R153 G0 B0
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Equation
Page 3
Default Value for GOS Factor•Gold (n) = 3 ; Ratio of Rate = 2(3-1)
=2(2) =4
•Silver (n) = 2 ; Ratio of Rate = 2(2-1) = 2(1) = 2
•Bronze (n) = 1; Ratio of Rate = 2(1-1) = 2(0) = 1
minimum value is 1, so 0 value will be replace with 1
Example:With GOS Factor Value for Gold, Silver and Bronze (3:2:1).Comparation for Subscriber Speed are•Bronze Subscriber with estimation speed 100 Kbps•Silver Subscriber estimation speed about 200 Kbps•Gold Subscriber estimation speed about 400 Kbps
•Average Speed from 4 Subscriber (Gold = 1 user ; Silver = 2 user’s ; Bronze = 1 user )
= 225 Kbps
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Page 4
BSC 6600 Scheduling Algorithm
Ratio Gold Subscriber : 86/298 = 28.85 %Ratio Silver Subscriber: 138/298 = 46.3 %Ratio Bronze Subscriber: 74/298 = 24.85 %
By Using Call Data Record in OMStar CDMA we can find Subscriber amount based on QoS.The CDR take a date on 30 Dec 2011.
By Using Call Data Record in OMStar CDMA we can find Subscriber amount based on QoS.The CDR take a date on 30 Dec 2011.
Microsoft Office Excel 97-2003 Worksheet
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Subcriber Ratio
Page 5
Speed = 100 Kbps for Bronze
Highest Average User Speed
Default value for GOS Factor is 3:2:1 , then with calculation we find ratio 5:4:1 for GOS Factor thatResult high average user speed.
Default value for GOS Factor is 3:2:1 , then with calculation we find ratio 5:4:1 for GOS Factor thatResult high average user speed.
Microsoft Office Excel 97-2003 Worksheet
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BSC 6600 Scheduling Algorithm
We propose to change GOS Factor value to 5:4:1. We will monitoring average user throughput If the KPI getting worst than before, we have to roolback again to default value 3:2:1 for GOS Factor.
We propose to change GOS Factor value to 5:4:1. We will monitoring average user throughput If the KPI getting worst than before, we have to roolback again to default value 3:2:1 for GOS Factor.
E:\Pekanbaru Optim\GOS Factor.txt E:\Pekanbaru Optim\
GOS Factor Rollback.t
Slide title :32-35pt Color: R153 G0 B0
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KPI monitoring
Page 7
Execution of GOS Factor at 17 Jan 2012, there is improvement about 11,15 % for average user throughput after 3 weeks monitoring activity.
Execution of GOS Factor at 17 Jan 2012, there is improvement about 11,15 % for average user throughput after 3 weeks monitoring activity.
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KPI monitoring
Page 8
Execution of GOS Factor at 17 Jan 2012, Average DRC in BSC Pekanbaru still normal.Execution of GOS Factor at 17 Jan 2012, Average DRC in BSC Pekanbaru still normal.
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Testing – 1 (Low Traffic) Methodology
Page 9
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Testing – 1 (Low Traffic) Location
Page 10
We conduct the field test in 2689_Srimeranti-2, the test begin at 5 January 2012 - 07:00 and the location take a place in low active user. We using 3 different IMSI with different QoS (Gold, Silver and Bronze)
We conduct the field test in 2689_Srimeranti-2, the test begin at 5 January 2012 - 07:00 and the location take a place in low active user. We using 3 different IMSI with different QoS (Gold, Silver and Bronze)
Slide title :32-35pt Color: R153 G0 B0
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Testing – 1 (Low Traffic)
Page 11
Near location (100 m) based on SINR : 9 upto 14 (dB)Medium location (700 m) based on SINR : 0 upto 8 (dB)Far location ( 2000 m) based on SINR : -12 upto 0 (dB)
Near location (100 m) based on SINR : 9 upto 14 (dB)Medium location (700 m) based on SINR : 0 upto 8 (dB)Far location ( 2000 m) based on SINR : -12 upto 0 (dB)
Medium test occur in the early morning when average user throughput in low traffic.Near test occur when the average user throughput in high traffic.
Medium test occur in the early morning when average user throughput in low traffic.Near test occur when the average user throughput in high traffic.
5 Feb 2012
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Bandwidth limitation from QoS Parameter
Page 12
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Testing – 1 (Low Traffic)
Page 13
Based on Bandwidth limitation Silver and Bronze subscriber has limitation in user throughput due to QoS Forward Limited Rate.
Based on Bandwidth limitation Silver and Bronze subscriber has limitation in user throughput due to QoS Forward Limited Rate.
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Testing – 1 (Low Traffic) Summary
Page 14
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Testing – 2 (High Traffic)
Page 15
We conduct the second field test in surrounding coverage high traffic area on 7 Feb 2012, in the busy hour around 20:00 to 24:00.
We conduct the second field test in surrounding coverage high traffic area on 7 Feb 2012, in the busy hour around 20:00 to 24:00.
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Page 16
Good SINR : 9-14 [dB]Time 21:45 – 22:45
MediumSINR : 0-8 [dB]Time 20:00 – 21:30
BadSINR : (-12 ) - 0 [dB]Time 23:15 – 01:00
Testing – 2 (High Traffic)
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Testing – 2 (High Traffic)
Page 17
GOS Factor 5:4:1 with ratio rate 8:6:1 in High Traffic condition really take effect by Scheduling Algorithm. Even in Far distance Gold Subscriber and Silver Subscriber have high priority than Bronze Subscriber.
GOS Factor 5:4:1 with ratio rate 8:6:1 in High Traffic condition really take effect by Scheduling Algorithm. Even in Far distance Gold Subscriber and Silver Subscriber have high priority than Bronze Subscriber.
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Testing – 2 (High Traffic)
Page 18
From OMC calculation compare withField Test there is different about 4.95%
86
1
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Testing – 2 (High Traffic) Summary
Page 19
Throughput Sensitive Profile IDThroughput Sensitive Profile ID
Thank You
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