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Chapter 4Simulation and analytical modelling pEach state of these process models contains ‘Proto-C’ code, which is supported by anextensive library of functions designed for protocol programming. An example of whichis presented in Figure 4.8 for the state “Transmit opportunity”.Figure 4.8 – Proto-C code of the state: Tx. Opportunity.4-11
Chapter 4Simulation and analytical modelling p4.3.3 Interactive Network Adaptor designThe Interactive Network Adapter (INA) node consists of the IA MAC and four linkaccess points to interact to the CATV network, the Network Cloud and StatisticsCollection node as pointed out in Figure 4.9a.The representation of the INA into an OPNET node is shown in Figure 4.9b. Here theIA MAC was connected to the downstream bus access point via a statistical wire, thuspreventing the IA MAC sending another frame to the bus. Currently, the trafficgenerator (Downstream source) has been disabled, thus no data packet would betransmitted downstream, since the main research focuses on the performance analysis ofthe upstream channel, which is the only critical network resource because of thereservation access mechanism and its marked asymmetry. In addition, the upstreamscheduler is part of the IA Manager process.The IA MAC node is also modelled as two asynchronous processes, the IA Managerand the IA Transmitter (TX) process. The IA Manager process handles the MACInitialisation (which consists of initialisation, provisioning, ranging, calibration andconnection signalling), receipt of upstream packets and downstream traffic. The IA TxController handles transmission of data and MAC signalling messages generated by theIA Manager process.a) INA Designb) INA Representation in OPNETPacket-OutPacket-OutStatisticsCollectionINA MACIAManagerTransmitterSystemfrom_network_cloud_txto_network_cloud_txto_stat_collection_txDowstreamTrafficIA TxControllerReceiverSystemINA_MACDownstream_sourcePacket-InPacket-Infrom_bus_rxto_bus_txFigure 4.9 – INA node description.4-12
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I would like to thank all the peopl
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CHAPTER 6: OPTIMISATIO OF CRA ALGOR
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FIGURE 5.17 - SYSTEM THROUGHPUT VS.
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LIST OF TABLESTABLE 2.1 - NEXT GENE
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Chapter 1Introduction pBecause of h
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Chapter 1Introduction pA first step
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Chapter 1Introduction passumption i
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Chapter 1Introduction ppolynomial b
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Chapter 1Introduction pIn general,
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Chapter 5Upstream channel capacity
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Chapter 6Optimisation of CRA using
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Chapter 7PERFORMANCE OPTIMISATION F
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Chapter 7Performance optimisation f
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aChapter 7Performance optimisation
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Chapter 8Final conclusions p8.2 Gen
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Chapter 8Final conclusions pWe have
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Chapter 8Final conclusions pperform
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Chapter 8Final conclusions pslots i
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Chapter 8Final conclusions pfocused
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Chapter 8Final conclusions preserva
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Chapter 8Final conclusions pThe opt
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Chapter 8Final conclusions p8.4 Fut
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Chapter 8Final conclusions pApplica
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Chapter 8Final conclusions pTCIS st
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Referencesp[17] I. Cidon, and M. Si
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Referencesp[50] N. F. Huang, C. A.
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Referencesp[85] V. Rangel, R. Edwar
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Referencesp[112] K. Sriram, “Meth
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APPEDIX A: GLOSSARYAALABRADSLATMBCB
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Appendix AGlossary pkbpsLANLLCMACMA
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Appendix AGlossary pUSBUWVDSLVoDVoI
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Appendix BProtocol stack and packet
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Appendix BProtocol stack and packet
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APPENDIX C: D VERIFICATION TEST FOR
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Appendix D Verification test p209 2
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Appendix EResults for a 6 Mbps upst
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Appendix FGuide to CD-ROM p IEEE802
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