Performance in Planning — Smart Systems for the Access Network


Improvements in system technologies continue apace — with new developments in software methods arguably outstripping even the breakneck progress in hardware power described by 'Moore's Law'. The software developments are timely, since they offer solutions to the urgent problems of increasing customer demands, complexity of network technologies, and more competitive markets. The increasing availability of cheap computing power, with developments in object orientation and artificial intelligence, offer the possibility of a more holistic approach to network performance planning and management. The most fundamental aspects of network performance (functionality, reliability, and cost) can now feasibly be considered simultaneously and interactively. Common, comprehensive network models are within sight, which could be utilised by network planners, installers, repair staff, marketeers and at point-of-sale. The resulting improvements in productivity and service quality could be immense. Specific examples of 'intelligent' access network planning tools, produced using rapid application development techniques within BT, are described to illustrate their potential.

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  1. 1

    Adams E K and Willetts K J: ‘The lean communications provider’, McGraw-Hill (1996).

  2. 2

    Mellis J: ‘Systematic approaches to network infrastructure planning and performance modelling’, BT Technol J, 14, No2, pp 87–94 (April 1996).

    Google Scholar 

  3. 3

    Mellis J: ‘Plant and people: the influence of human factors in telecommunications network performance’, Telektronikk, 93,1, pp 128–135 (1997)

    Google Scholar 

  4. 4

    Redstall R M, Mardani R and Mellis J: ‘OMNI – an object-based model of the access network infrastructure’, BT Technol J, 14, No2, pp 95–100 (April 1996).

    Google Scholar 

  5. 5

    Tindle J, Brewis S J and Ryan H M: ‘Advanced simulation and optimisation of the telecommunications network’, BT Technol J, 14, No2, pp 140–146 (April 1996).

    Google Scholar 

  6. 6

    Paul H and Tindle J: ‘Passive optical network planning,’ BT Technol J, 14, No2, pp 110–115 (April 1996).

    Google Scholar 

  7. 7

    Goldberg D E: ‘Genetic algorithms in search, optimization and machine learning’, Addison-Wesley Publishing Co, pp 59–122 (1989).

  8. 8

    BT: ‘Access Narrowband Greenfield Planning Rules’, internal document (1997).

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Asumu, D.E., Mellis, J. Performance in Planning — Smart Systems for the Access Network. BT Technology Journal 16, 138–151 (1998).

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  • Service Quality
  • Network Performance
  • Access Network
  • Human Computer Interaction
  • Customer Demand