Talk Talk Technology has an ongoing programme of Dynamic Line Management(DLM), aimed at improving the performance of ADSL broadband connections. Choosing the most appropriate configuration, or ‘profile’, for an individual line allows a balance to be reached between achieving a high line speed and a stable customer experience. Among the objectives of DLM are to determine the likely line speed of new connections and to identify lines that might benefit from an updated profile.

Addressing these questions requires three complementary types of modelling: physical modelling of the electrical characteristics of ADSL lines (these are existing copper telephone lines); information modelling of the associated communication channel, taking into account the levels of noise and the coding of ADSL signals; and finally statistical modelling, which enables data gathered from the exchange to be used to construct relationships between key variables and to identify lines that might be faulty or on poor profiles. The work of the Study Group in April 2010 contributed mainly to developing the statistical modelling. This report summarises the progress that was made and the opportunities for developing these techniques further.

Problem presented by
Mike Stevens and Nick Kelly, Talk Talk Technology

Study Group contributors
Andrew Lacey (Heriot-Watt University)
Anirban Mondal (Texas A&M University)
Charles Mberi Kimpolo (African Institute for Mathematical Sciences)
John Ockendon (University of Oxford)
Montaz Ali (Witwatersrand University)
Robert Leese (Industrial Mathematics KTN)
Robert Whittaker (University of Oxford)
Steven Hill (University of Warwick)
Siu Kwan Yip (University of Warwick)
Tomasz Brozek (Warsaw School of Information Technology)
Warren Smith (University of Birmingham)

related resources:

»	Dynamic Line Management
	Study group report 2010: Dynamic Line Management (Talk Talk Technology)

other projects:

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