F uzzy Logic Based Admission Control for GPRS/EGPRS Networks Authors: Doru Todinca, Stefan Holban, Philip Perry,and John Murphy Source: Transactions on AUTOMATIC CONTROL and COMPUTER SCIENCE,Vol.49 (63), 2004, ISSN X Instructor Prof: Rong-Chang Chen Speaker: Yi-Chun Huang Date: 2007/01/16

Outline  GPRS  Introduction  Fuzzy Inference  Fuzzy Logic control  Simulation  Conclusion

What is GPRS ? Serving GPRS Support Node - SGSN Gateway GPRS Support Node - GGSN Point to Multi point Service Center - PTM-SC

Introduction(1/2) Cellular Data Network Traffic characteristics:voice, streaming, interactive, background traffic Admission Control Network load QoS requirements Radio link quality Transmission control

Introduction(2/2) Problem AC problem in mathematically System states Thresholds Fuzzy logic Advantage Fuzzy if-then rules Threshold-based can be easily extended Capability of fuzzy logic

Fuzzy inference Zadeh Linguistic variables

Fuzzy logic controller Fuzzy terms in premises Fuzzy terms in Conclusions

Fuzzy logic controller Fuzzy rules table

Simulation Model Tool:OMNeT++

Simulation Results(1/3) Fuzzy rules If network load is H then admission decision is SR If network load is M then admission decision is WA If network load is L then admission decision is SA Weights Streaming:8, www:4,background:1 Network load:sum of weights Input of FLC Existing network load + request user

Simulation Results(2/3) Target load:10, period :230ms

Simulation Results(3/3) Target load:5, period :130ms

Conclusion Feasibility of using fuzzy if-then rules Maintain network load to target value Future: include user precedence