MODIFIED WEIGHTED FAIR QUEUING FOR PACKET SCHEDULING IN MOBILE WIMAX NETWORKS
Gandeva Bayu Satrya Informatics Faculty TELKOM INSTITUTE OF TECHNOLOGY Bandung, West Java. Indonesia
[email protected]
Tri Brotoharsono Informatics Faculty TELKOM INSTITUTE OF TECHNOLOGY Bandung, West Java. Indonesia
[email protected]
4th International Conference on Graphic and Image Processing (ICGIP 2012)
LOGO October 6-7, 2012, Singapore
MODIFIED WEIGHTED FAIR QUEUING FOR PACKET SCHEDULING IN MOBILE WIMAX NETWORKS
Gandeva Bayu Satrya Informatics Faculty TELKOM INSTITUTE OF TECHNOLOGY Bandung, West Java. Indonesia
[email protected]
Tri Brotoharsono Informatics Faculty TELKOM INSTITUTE OF TECHNOLOGY Bandung, West Java. Indonesia
[email protected]
October 6-7, 2012, Singapore LOGO
Agenda
1 - Introduction 2 - Related Works 3 - WiMAX
4 - Proposed Scheme 5 - Experiment Result 6 - Conclusion
Introduction
Worldwide Interoperability for Microwave Access (WiMAX) large coverage, transmission capacity, and flexibility, for both fixed and mobile stations. alternative solution for wireless broadband access by being able to support variety type of applications
Problem & Objective
Different treatment would be required for each traffic flow in a network, in terms of allocated bandwidth, maximum delay, jitter, and packet loss
The design for an efficient scheduling algorithm, which coordinates all QoS-related functional entities, becomes a critical issue
Agenda
1 – Introduction 2 - Related Works 3 – WiMAX
4 - Proposed Scheme 5 - Experiment Result 6 - Conclusion
Related Works
Wang, Chan, Zukerman, and Harris [12] proposed a prioritybased fair scheduling algorithm for subscriber stations to serve a mixture of uplink traffic from different scheduling services. Ciconetti, Erta, Lenzini, and Mingozzi [4] aims at verifying, via simulation, the effectiveness of rtPS, nrtPS, and BE (but UGS) in managing traffic generated by data and multimedia sources. Ghandour, Frikha, and Tabbane [6] propose a supervisor based scheduling architecture for uplink traffic in WiMAX systems.
Gidlund and Wang [7] proposes two different scheduling algorithms for the uplink (UL) connection on Wireless Access Networks.
Agenda
1 - Introduction 2 - Related Works 3 - WiMAX
4 - Proposed Scheme 5 - Experiment Result 6 - Conclusion
WiMAX
WiMAX offers effective cost and gives alternative connection just like what fiber optic, coaxial, digital subscriber line, or T1 network. The current Mobile WiMAX technology is mainly based on the IEEE 802.16e amendment (IEEE, 2006a), approved by the IEEE in December 2005 [9].
QoS service for IEEE 802.16e
1. WRR
Class 2 * bw_fragment for Class 2
Class 3 * bw_fragment for Class 3
Class N * bw_fragment for Class N
WRR Scheduler
ENQUEUE
Packet WRR Classifier
Class 1 * bw_fragment for Class 1
DEQUEUE
2. WFQ fid Based
Queue 2 Weight 2
Queue 3 Weight 3
Queue N Weight N
WFQ Scheduler
ENQUEUE
WFQ Classifier
Queue 1 Weight 1
DEQUEUE
3. Modified WFQ
fid Based
Protocol Based
Queue 1 Weight 1
Queue 3 Weight 3
Queue CBR
Queue TCP Queue 4 Weight 4 Queue Other Queue N Weight N
WFQ Scheduler
Queue 2 Weight 2
Classifying packet
ENQUEUE
WFQ Classifier
Queue RTP
DEQUEUE
Agenda
1 - Introduction 2 - Related Works 3 - WiMAX
4 - Proposed Scheme 5 - Experiment Result 6 - Conclusion
Area Research
Comparison of WFQ & MWFQ fid Based
Queue 2 Weight 2
WFQ Scheduler
ENQUEUE
WFQ Classifier
Queue 1 Weight 1
Queue 3 Weight 3
Original Theory
DEQUEUE
Queue N Weight N
fid Based
Protocol Based
Queue 1 Weight 1
Queue 3 Weight 3
Queue CBR
Queue TCP Queue 4 Weight 4 Queue Other Queue N Weight N
WFQ Scheduler
Queue 2 Weight 2
Classifying packet
ENQUEUE
WFQ Classifier
Queue RTP
DEQUEUE
Modified Theory
Comparison of WFQ & MWFQ in NS-2 Queue 1 Weight Queue 1 Length Queue 2 Weight Queue 2 Length Classifier Data Queue 3 Weight Queue 3 Length
WFQ Scheduler
WFQ Classifier
Queue N Weight Queue N Length
ENQUEUE
Ordering
WFQ Queue Queue 1 Total Packet
DEQUEUE
Original In NS.2.31
WFQ Queue Queue 2 Total Packet Counter WFQ Queue Queue 3 Total Packet WFQ Queue Queue N Total Packet
Queue 1 Weight Queue 1 Length Queue 2 Weight Queue 2 Length Classifier Data
Queue N Weight Queue N Length
WFQ Classifier
ENQUEUE
WFQ Queue RTP
Classifying and ordering
WFQ Queue CBR
WFQ Queue Queue 1 Total Packet
WFQ Queue TCP WFQ Queue Queue 2 Total Packet Counter WFQ Queue Queue 3 Total Packet
WFQ Queue Other WFQ Queue Queue N Total Packet
WFQ Scheduler
Queue 3 Weight Queue 3 Length
DEQUEUE
Modified In NS.2.31
Network Configuration in NS-2
SS-1 VoIP Server b 2M
SS-2 BS-1
.. .
10 Mb
2 Mb Video Server 2M b
SS-10
CE
PE
FTP Server
Agenda
1 – Introduction 2 - Related Works 3 - WiMAX
4 - Proposed Scheme 5 - Experiment Result 6 - Conclusion
Performance Parameter
a) Delay Queue b) Throughput c) Packet Loss d) Jain’s Fairness
Scenario Simulation SS-3 SetDest (-80,140,30)
Format: SS-i (X,Y,Speed)
SS-3 (100,50,30)
BS (0,0) SS-2 (-80,-40,70) SS-2 SetDest (60,-60,70) Experiment from 10 ss, 20ss, and 30ss Condition : Mobile and No Mobile Algorithm : WRR, WFQ, MWFQ QoS : Delay, RT, Th, and Ploss Fairness : Jain’s Fairness
Note: SS: SubScriber Station BS: Base Station
Testing Scenario
UGS
RTPS
ERTPS
NRTPS
BE
Skenario 1
6/12/18
1/2/3
1/2/3
1/2/3
1/2/3
Skenario 2
1/2/3
6/12/18
1/2/3
1/2/3
1/2/3
Skenario 3
1/2/3
1/2/3
6/12/18
1/2/3
1/2/3
Skenario 4
1/2/3
1/2/3
1/2/3
6/12/18
1/2/3
Skenario 5
1/2/3
1/2/3
1/2/3
1/2/3
6/12/18
Delay RTP 20ss
Delay CBR 20ss
Delay TCP 20ss
Throughput UGS 20ss
Throughput UGS (20 Mobile-NoMobile) 400.00 364.07 350.00
325.13
301.35
301.35
301.40
301.41
300.00 250.00 176.59
176.09 176.03 176.18 175.79 176.03 176.09
200.00
226.31 225.80
172.45 176.19 176.48
176.75 172.74 158.89 176.28 172.82 176.09
115.82
120.60 121.18 115.84 56.80
150.00 100.00 56.36 50.00 0.00 Scenario 1
Scenario 2 WRR
WFQ
Scenario 3 MWFQ
WRR2
Scenario 4 WFQ2
MWFQ2
Scenario 5
Throughput RTPS 20ss
Throughput RTPS (20 Mobile-NoMobile) 168.40 145.83 168.43 168.40
180.00
145.83
160.00
145.76
140.00 120.00 100.00 80.00 60.00 40.00
47.30
24.84 32.27 32.25 24.32
31.98 12.59
24.21 24.32 20.00
12.02
47.76 31.80 24.49 31.99 31.79
47.17 47.30 31.79 31.7923.61 24.55 24.57
12.23 12.24
0.00 Scenario 1
Scenario 2
WRR
WFQ
Scenario 3
MWFQ
WRR2
Scenario 4
WFQ2
MWFQ2
Scenario 5
Throughput eRTPS 20ss
Throughput ERTPS (20 Mobile-NoMobile) 375.11
400.00
350.00 300.00 245.58 266.77 265.58 267.22 250.00 200.00 150.00
227.09 227.15 225.86 227.18 227.11
225.94 225.94 221.22 168.36 177.74 168.36 177.74 165.68
170.82
136.80 128.59
100.00
226.21 227.25
107.32 106.08 107.32
73.09
72.73
53.84 50.00 0.00 Scenario 1
Scenario 2
WRR
WFQ
Scenario 3
MWFQ
WRR2
Scenario 4
WFQ2
MWFQ2
Scenario 5
111.07
Throughput nRTPS 20ss
Throughput NRTPS (20 Mobile-NoMobile) 450.00
392.01 393.05 376.09 343.88 360.49 358.08
400.00 350.00 271.12 273.96 271.12
300.00 250.00
253.27 261.13 247.04 242.33
198.18 197.57
200.00 150.00
93.43
100.00
86.63
14.62 50.00
131.70 96.10 102.11104.8385.40
29.68 21.43 14.62
52.06
44.13 44.13 34.74
0.00 Scenario 1
Scenario 2 WRR
WFQ
Scenario 3 MWFQ
WRR2
Scenario 4 WFQ2
MWFQ2
Scenario 5
Throughput BE 20ss
Throughput BE (20 Mobile-NoMobile) 722.80 722.80
800.00 700.00 600.00 500.00 400.00
408.89
353.14 353.14 328.75
217.30 200.00 100.00
116.86 126.29 124.52 116.86 36.32
95.38 43.66 66.37 76.20 56.55 39.07 44.59
32.21 32.21
31.62
0.00
Scenario 1
Scenario 2 WRR
WFQ
Scenario 3 MWFQ
WRR2
391.16
350.71
244.88 287.16 284.83 229.51 235.51
300.00
356.14
Scenario 4 WFQ2
MWFQ2
Scenario 5
Packet Loss 20ss
Packet Loss 20 (Mobile-NoMobile) 25.00
Axis Title
20.00
15.00
10.00
5.00
0.00
Scenario 1
Scenario 2
WRR
Scenario 3
Scenario 4
Scenario 5
8.23
WFQ
8.30
5.66
9.83
6.51
19.45
5.68
13.23
6.40
19.91
MWFQ
8.30
5.48
10.54
6.36
19.45
WRR2
6.08
13.52
5.88
10.86
19.71
WFQ2
2.53
13.56
9.77
12.14
19.22
MWFQ2
2.50
5.39
9.63
10.66
14.28
Jain’s Fairness 20ss
Jain's Fairness (20 Mobile-NoMobile ) 1.00 0.90
Percentage (%)
0.80 0.70 0.60 0.50 0.40 0.30 0.20 0.10 0.00
Scenario 1
Scenario 2
Scenario 3
Scenario 4
Scenario 5
WRR
0.43
0.43
0.47
0.64
0.75
WFQ
0.64
0.42
0.60
0.65
0.92
MWFQ
0.64
0.40
0.48
0.63
0.92
WRR2
0.43
0.37
0.40
0.72
0.60
WFQ2
0.65
0.37
0.53
0.63
0.60
MWFQ2
0.63
0.37
0.72
0.71
0.60
Analysis of Delay 10ss TCP
Delay M
NM
s1
s2
s3
WRR
20ss
RTP
s4
s5
M
CBR
NM
M
TCP
NM
M
30ss
RTP
NM
M
CBR
NM
NM
M
NM
RTP
M
TCP
NM
s2 WFQ
s3
s4
s5
s2
s3
s4
s5
MWFQ
NM
s1
s1
M
M
CBR
Analysis of Throughput 10ss UGS
Throughput
s1
RTPS
M
N M
M
N M
20ss
eRTPS
M
N M
BE
M
N M
M
s2
WRR
nRTPS
UGS N M
M
N M
RTPS
M
N M
eRTPS
M
s4
s5
M
M
UGS N M
M
N M
RTPS
M
N M
M
N M
nRTPS
M
N M
BE
M
N M
s3
s4
s5
s1
eRTPS
s2
MWFQ
BE
s1
WFQ
N M
nRTPS
s3
N M
30ss
s2
s3
s4
s5
Analysis of Percentage PLoss
10ss Algorithm
Scenario
M
s1
20ss
NM
M
30ss
NM
M
NM
s2 WRR
s3
s4
s5 s1
s2 WFQ
s3 s4 s5
MWFQ
s1
s2
s3
s4
s5
Analysis of Jain’s Fairness
10ss
Algorithm
Scenario
M
20ss NM
M
30ss NM
M
NM
s1
s2 WRR
s3
s4 s5
s1 s2 WFQ
s3
s4
s5 s1
s2 MWFQ
s3
s4
s5
Conclusion & Recommendation
By adding a queue based on its protocol type and calculated based on the highest total packet, MWFQ is proven to be better then WRR and WFQ Some QoS parameters that are still not perfect, for example improvement on delay for CBR and TCP, throughput for nRTPS and BE, and packet loss large number of users. Another study might also be to test the handover mechanism which was not conducted in this study
References [1] A. Syed Ahson and I. Mohammad, WiMAX Application, New York CRC Press, 2008. [2] Ali, N.A., Dhrona, P., and Hassanein, H., A performance study of uplink scheduling algorithms in point-to-multipoint WiMAX networks, Computer Communications 32 (2009) 511–521, Elsevier B.V., 18 September 2008. [3] C. Kwang-Cheng, J. Roberto, and B. de Marca, Mobile WiMAX, IEEE Press, England, 2008. [4] Cicconetti C., Erta A., Lenzini L., and Mingozzi E., Performance Evaluation of the IEEE 802.16 MAC for QoS Support, IEEE Transactions On Mobile Computing, VOL. 6, NO. 1, JANUARY 2007 [5] G. Debalina, G. Ashima, M. Prasant, Scheduling in Multihop WiMAX Networks, ACM Sigmobile Mobile Computing and Communication Vol 12 Issue 2 New York, April 2008. [6] Ghandour F., Frikha M., and TABBANE S., A Supervisor based Scheduling Architecture for 802.16 Systems, IWCMC '10, ACM New York, NY, USA 2010. [7] Gidlund M., and Wang G., Uplink Scheduling Algorithms for QoS Support in Broadband Wireless Access Networks, Journal of Communications, Academy Publisher, VOL. 4, NO. 2, MARCH 2009. [8] J. Fanchun, A. Amrinder, and H. Jinho, Routing and Packet Scheduling for Throughput Maximization in IEEE 802.16 Mesh Networks, Washington. [9] Katz, D.M., Fitzek, F.H.P., WiMAX Evolution, John Wiley & Sons Ltd, United Kingdom. 2009. [10]Peterson L.L., dan Davie B.S., Computer Network 4th Edition, Morgan Kaufmann Publishers. San Francisco. 2007. [11]Szigeti, T., and Hattingh, C., Quality of Service Design Overview, Cisco Press, Dec 17, 2004. [12]Wang Y., Chan S., Zukerman M., and Harris R.J., Priority-based Fair Scheduling for Multimedia WiMAX Uplink Traffic, ICC 2008 proceedings, IEEE, 2008.
Singapore, October 7th 2012
Thank You
Gandeva Bayu Satrya
Tri Brotoharsono
[email protected]
[email protected]
TELKOM INSTITUTE of TECHNOLOGY BANDUNG - INDONESIA LOGO
