Predictive modelling of cellular load

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.

[1]  Tijani Chahed,et al.  Minimizing Energy Consumption via Sleep Mode in Green Base Station , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[2]  Vijay K. Bhargava,et al.  Green Cellular Networks: A Survey, Some Research Issues and Challenges , 2011, IEEE Communications Surveys & Tutorials.

[3]  A. Wolisz,et al.  Primary Users in Cellular Networks: A Large-Scale Measurement Study , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[4]  Ronan Farrell,et al.  Analysing Ireland's interurban communication network using call data records , 2012 .

[5]  Ronan Farrell,et al.  Comparing and contrasting smartphone and non-smartphone usage , 2013 .

[6]  Roch Lefebvre,et al.  The adaptive multirate wideband speech codec (AMR-WB) , 2002, IEEE Trans. Speech Audio Process..

[7]  Ronan Farrell,et al.  Towards a quantitative model of mobile phone usage Ireland — A preliminary study , 2012 .

[8]  Ronan Farrell,et al.  Exploring spatial relationships and identifying influential nodes in cellular networks , 2014 .

[9]  Yi-Fei Chuang,et al.  Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions , 2011 .

[10]  Haiyun Luo,et al.  Traffic-driven power saving in operational 3G cellular networks , 2011, MobiCom.

[11]  Alan Pankratz Introduction to Box—Jenkins Analysis of a Single Data Series , 2008 .

[12]  Klaus Moessner,et al.  Traffic modelling and forecasting using genetic algorithms for next-generation cognitive radio applications , 2009, Ann. des Télécommunications.

[13]  Samir Ranjan Das,et al.  Understanding traffic dynamics in cellular data networks , 2011, 2011 Proceedings IEEE INFOCOM.

[14]  Catherine Quinquis,et al.  Evaluation of AMR-NB and AMR-WB in packet switched conversational communications , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[15]  Ronan Farrell,et al.  Characterising Spatial Relationships in Base Station Resource Usage , 2014 .

[16]  Bhaskar Krishnamachari,et al.  Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks , 2013, IEEE Transactions on Wireless Communications.