Traffic Analyzer for GPRS UMTS Networks (TAN)

hi Traffic Analyzer for GPRS UMTS Network (TAN) Motorola Jordan GPRS Team Muhannad Aulama Hamzeh Salah

Introduction• Because Charging CDRs are the only complete and comprehensive source of network traffic, TAN gives all kinds of traffic analysis and users behavior while still being accurate and fast.• It decodes R4, R99, SGSN, and GGSN CDRs and creates a database. Many different queries can be applied to unveil all kinds of traffic analysis and users behavior.

Features• R4, R99, SGSN, and GGSN fast C++ decoder.• Fast Database interfacing module.• Ready-to-use commonly used queries.• Easy-to-use SQL query designer.• Chart Viewer.• User-friendly GUI.• 50 MB of btf files are decoded and saved in database is less than a minute.

Procedure• Click “Convert” and Choose directory where btf files reside.

Procedure• Choose a file where database is to be saved.

Procedure• Conversion Starts. Progress bar shows pregress.• Conversion is finished.

Procedure• Choose from ready-to- use queries for immediate result.

Procedure• Or build your own customized query. Customized query relieves the user from learning SQL while still able to design almost all queries

Procedure• The result of the query is shown.

Procedure• Draw the results.

Procedure• Export to Excel for further analysis and drawing.

Results• Many results, traffic analysis and users behavior can be drawn by TAN. Charging CDRs contain all traffic information in terms of volume, distribution, time, and type.• Some of the resulting traffic analysis are: – Traffic volume per hour. – Traffic volume per APN. – Traffic volume per GGSN. – Traffic volume per Cell. – Traffic volume per QoS.

Results• Some of the resulting statistics are: (Cont.) – Traffic volume per LAC. – Traffic volume per RAC. – Number of PDPs per Hour. – Number of PDPs per APN. – Inbound roaming traffic. – Outbound roaming traffic. – Top 10 IMSIs. – Number of PDPs for each billing method. – And much more.

Results• What advantages does TAN have over normal stats? – PDP distribution in day. Finding busy hour. – Finding top Congested Cells. – Traffic volume and type per RAC, LAC, and Cell. – Where certain traffic type, for example internet traffic, or certain QoS, is mostly used. – Percentage of roaming traffic to local traffic. – Most accessed roaming APNs. – Distribution of traffic among local and roaming GGNS. – Distribution of Traffic among QoS categories. – Distribution of traffic among different billing methods, for example, hot billing vs normal billing.

ResultsNumber of PDPs Distribution of PDPs in Day16000140001200010000 8000 Number of PDP 6000 4000 2000 0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Hour in Day MB/hour Throughput (MB/hour) 450.0 414.2 400.0 350.0 300.0 250.0 190.2 200.0 150.0 100.0 50.0 8.7 3.6 1.9 0.5 0.5 0.4 0.3 0.3 0.0 48 47 3 5 6 2 4 2 1 3 .8 23 23 24 24 4. 4. 4. .1 .1 95 16 16 16 4. 4. 1. 1. 37 37 14 14 16 16 4. 0. 0. 0. .1 .1 16 .9 .9 .9 3. 3. 5. 5. 50 50 80 80 80 7. 18 18 15 15 .1 .1 21 2. 2. 6. 6. 62 62 21 21 21 21 GGSN Address

Results APNs Total Throuput 270 250 200 MB/hour 150 100 68 80 50 35 39 34 14 7 0 3 0 13 6 0 0 3 0 ptt streampre stream internetpre wap mms internet wappre Downlink Throuput (MB/hour) Uplink Throuput (MB/hour)MB/hour Top 10 Cell Throuput (MB/hour)20.0 18.518.016.014.012.010.0 8.3 8.0 5.4 5.4 5.1 6.0 4.4 4.0 4.0 4.0 4.0 4.0 2.0 0.0 25162 22131 49292 49092 16143 22033 20011 13201 49411 16243 Cell ID

Results Cell 16243 Traffic Type (MB/day) 12.00 9.99 10.00 8.00 (MB/day) 6.00 3.48 2.92 4.00 2.00 1.29 1.16 0.03 0.01 0.00 ET E S S E AP AE PR PP M PR RN S. W M ET AP PR TE RN W IN G TE IN Top 10 Internet Traffic Cells (MB/day) Top 10 WAP Traffic Cells (MB/day) 120 112 60 95 49 100 50 37 80MB/day 40 MB/day 64 58 30 25 60 18 43 40 39 20 14 12 12 35 32 31 30 9 9 9 40 8 10 20 0 0 33 1 3 3 2 3 0 1 1 2 2 51 42 15 26 03 09 32 08 24 45 22 3 1 2 3 1 1 1 3 2 3 91 14 20 22 12 22 04 10 25 25 20 25 40 44 10 32 42 39 40 22 24 90 16 13 32 10 19 21 39 25 25 23 Cell ID Cell ID

ResultsMB/hour LAC Throuput (MB/hour)80 767060 55 54 5250 43 38 36 3540 29 2730 25 24 24 2320 17 14 14 14 13 1110 0 0 800 700 900 101 602 400 301 503 100 601 201 402 701 802 202 502 401 300 901 702 333 LAC IDNo. of CDRs CDR Closing Causes Distribution per Day200000 188032150000100000 48552 50000 7522 0 normalRelease timeLimit volumeLimit Cause for Record Closing

Results Local vs Roaming Throuput (MB/day) Roaming Throuput, 439, 3% Local Throuput, 14552, 97% Local Throuput Roaming Throuput Local vs Roaming BlackBerry Throuput (MB/day) Local BlackBerryThrouput, 32, 40% Roaming BlackBeryy Throuput, 49, 60%

PP bl S. ac kb M NC er 00 ry .n 2.W e M 0 50 100 150 200 250 t.M C 300 AP M N C4 .V C2 9 1 o ice YL 6 AN 0. M 294 st .M re NC CC am 31 W .c 01 0 AP om 5. 23 .C .M M IN N C G C U C2 23 LA 60 4 bl ac R .M 19 .M CC kb N er C 31 ry 41 0 Results .n 0. 15 IN et .M M CC TE N 31 R C4 0 N 10 14 ET .M .M CC BL NC EW 31 AC 01 0 7 KB AP 5. .M M ER N C R C0 C2 Y. 34 N 02 7 ET .M Top 10 Roaming APNs Throuput (MB/day) IN .M C TE NC C 42 R 01 4 N 7 5. ET M M C N C C0 23 01 4 6 .M CC 23 8 4

Traffic Analyzer for GPRS UMTS Networks (TAN)

by Muhannad Aulama

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