Transcript Fuzzy Logic Based Admission Control for GPRS/EGPRS Networks

Fuzzy 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 1224-600X
Instructor Prof: Rong-Chang Chen
Speaker: Yi-Chun Huang
Date: 2007/01/16
Outline
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GPRS
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Introduction
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Fuzzy Inference
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Fuzzy Logic control
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Simulation
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Conclusion
What is GPRS ?
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Serving GPRS Support Node - SGSN
Gateway GPRS Support Node - GGSN
Point to Multi point Service Center - PTM-SC
Introduction(1/2)
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Cellular Data Network
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Traffic characteristics:voice, streaming,
interactive, background traffic
Admission Control
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Network load
QoS requirements
Radio link quality
Transmission control
Introduction(2/2)
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Problem
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AC problem in mathematically
System states
Thresholds
Fuzzy logic Advantage
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Fuzzy if-then rules
Threshold-based can be easily extended
Capability of fuzzy logic
Fuzzy inference
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Zadeh
Linguistic variables
Fuzzy logic controller
Fuzzy terms in premises
Fuzzy terms in Conclusions
Fuzzy logic controller
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Fuzzy rules table
Simulation Model
Tool:OMNeT++
Simulation Results(1/3)
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Fuzzy rules
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Weights
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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
Streaming:8, www:4,background:1
Network load:sum of weights
Input of FLC
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Existing network load + request user
Simulation Results(2/3)
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Target load:10 , period :230ms
Simulation Results(3/3)
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Target load:5 , period :130ms
Conclusion
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Feasibility of using fuzzy if-then rules
Maintain network load to target value
Future: include user precedence