# A clear statement of the research objectives of the project.
To generate stochastic models of the distribution of houses in typical town and suburban locations, and use these to compute statistics on wireless coverage.
# A discussion of why it is interesting.
Wireless systems are evolving towards a smaller cell-size, so that we now think of house-sized cells. To model and simulate such systems requires models of house-density distributions. This information is not readily available, but a good proxy is the postcode database. This gives houses per postcode, and areas can be estimated via Voronoi tesselations. We can then test the real situation against our models. From these we can calculate statistics relevant to wireless systems, such as distribution of housing density, and fractional coverage as a function of transmit power.
# A brief summary of the background to be assimilated and techniques required.
Not much - Voronoi ideas, processing of large datasets with python. Some imagination in developing point process distribution models which are not Poissonian.
# A list of prospective deliverables.
A set of parameterised models useful to wireless engineers for predicting coverage.
# An indication of the relation to end/downstream users: who should benefit from this [line of] research?
Any wireless data network provider.
# A brief outline of avenues for a follow-up PhD project.
More rigorous analysis of the models and testing accuracy against real housing distrubutions. Three-dimensional version for tall buildings.