Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Modeling of Call Dropping in Well-Established Cellular Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2007 Article ID 17826 11 pages doi 2007 17826 Research Article Modeling of Call Dropping in Well-Established Cellular Networks Gennaro Boggia Pietro Camarda and Alessandro D Alconzo Dipartimento di Elettrotecnica ed Elettronica Politecnico di Bari Via Orabona 4 70125 Bari Italy Received 8 January 2007 Revised 6 July 2007 Accepted 11 October 2007 Recommended by Alagan Anpalagan The increasing offer of advanced services in cellular networks forces operators to provide stringent QoS guarantees. This objective can be achieved by applying several optimization procedures. One of the most important indexes for QoS monitoring is the dropcall probability that till now has not deeply studied in the context of a well-established cellular network. To bridge this gap starting from an accurate statistical analysis of real data in this paper an original analytical model of the call dropping phenomenon has been developed. Data analysis confirms that models already available in literature considering handover failure as the main call dropping cause give a minor contribution for service optimization in established networks. In fact many other phenomena become more relevant in influencing the call dropping. The proposed model relates the drop-call probability with traffic parameters. Its effectiveness has been validated by experimental measures. Moreover results show how each traffic parameter affects system performance. Copyright 2007 Gennaro Boggia et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION The drop-call probability is one of the most important quality of service indexes for monitoring performance of cellular networks. For this reason mobile phone operators apply many optimization procedures
