Title :
Predicting the distribution of mobile users in cellular networks
Author :
Zhang, Kejing ; Cuthbert, Laurie
Author_Institution :
Dept. of Electron. Eng., Queen Mary, Univ. of London, London, UK
Abstract :
Early detection and rapid resolution network congestion can considerably improve network capacity. Consequently, much research has been carried out on predicting traffic patterns in 3G networks. This paper introduces a traffic abstraction model to predict the distribution of mobile users and support the congestion control in the semi-smart antenna systems. The simulation result shows that the cumulative error rate is below 25% even carrying out multi-step-ahead predictions.
Keywords :
3G mobile communication; adaptive antenna arrays; cellular radio; telecommunication congestion control; telecommunication traffic; 3G networks; cellular networks; congestion control; cumulative error rate; distribution prediction; mobile users; network capacity; network congestion; semismart antenna systems; traffic abstraction; traffic pattern prediction; Antenna radiation patterns; Base stations; Communication system traffic control; Femtocell networks; Land mobile radio cellular systems; Mobile antennas; Multiaccess communication; Predictive models; Telecommunication traffic; Traffic control; Traffic pattern prediction; congestion control; traffic abstraction;
Conference_Titel :
Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4816-6
Electronic_ISBN :
978-1-4244-4817-3
DOI :
10.1109/ICCOMTA.2009.5349068
