______________________________________________________________________________Abstract-This work utilises data from an Irish mobile phone network to provide a preliminary, but novel, analysis of the interurban communication network between twenty five of the largest cities and towns in Ireland. An intuitive technique is applied to a mobile phone operator's call detail records to identify the actual subscriber population of different urban areas with various penetration rates. Weighted communication links are generated between the urban centres based on spatial and temporal metrics of distance, and are examined for different times of the day and for different days of the week. These communication links are compared to the output of a standard gravity model in order to ascertain the latter's ability to accurately represent Ireland's interurban communication network. The results obtained are presented and discussed within.

_______________________________________________________________________________Abstract-This paper presents a large-scale network wide analysis of both user behaviour and network dynamics in a live nationwide 2G/3G network. The employed data set tracks over one million subscribers across upwards of ten thousand base stations covering the entirety of the Republic of Ireland. The data set was captured in 2011 and includes a large group of bill-pay and pre-pay smartphone subscribers. The proliferation of smartphones has been a major and recent change to networks worldwide. In light of the recent changes in network access technologies much of the earlier work in this field is now out of date. This paper compares and contrasts the traffic usage of smartphone subscribers and nonsmartphone subscribers. A key aim of this work is to quantify and qualify the change brought about by smartphones. Unlike previous studies, we look to the future by treating all traffic including voice calls and SMS as an equivalent data service, as will be the case in 4G. This paper also explores the temporal and spatial properties of both bill-pay and pre-pay smartphone usage and concludes by summarising our key findings & their implications.

Abstract-Mobile phone networks were traditionally voice and SMS messaging networks which made them easy to quantify and model. More recently with the advent of broadband data connections and smart phones, mobile phone networks are being used for a wide range of purposes using ever more bandwidth. This paper utilises data provided by an Irish operator to provide an initial perspective on the current uses of mobile phone networks as a within Ireland. This work serves as a precursor to the development of a quantitative model of existing behaviour which in turn will help predict future requirements.

Abstract-This work provides an up to date measurement-driven examination of the spatial characteristics of network resource usage. The data set used is from a large nationwide 3G cellular network comprised of several thousand base stations. Firstly, we discuss our data set and its potential application. Next, we examine the spatial correlation between base stations in terms of radio resource usage. We find significant spatial correlation, particularly for proximate base stations. We examine the causality structure in the network using Granger causality to identify key influential indicator base stations within sub-networks. These indicator base stations act as hubs in the wider network and provide additional information about the future states of their neighbors. The penultimate section examines the influential indicator base stations in more detail. Finally, we conclude with a brief discussion of the key points and how we aim to progress this work.

Abstract-This work examines the temporal dynamics of cellular load in four Irish regions. Large scale underutilisation of network resources is identified both at the regional level and at the level of individual cells. Cellular load is modeled and prediction intervals are generated. These prediction intervals are used to put an upper bound on usage in a particular cell at a particular time. Opportunities for improvements in network utilization by incorporating these upper bounds on usage are identified and discussed in the areas of spectrum sharing and green networks.