tailieunhanh - Báo cáo hóa học: " Research Article Efficient Uplink Modeling for Dynamic System-Level Simulations of Cellular and Mobile Networks"

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 Efficient Uplink Modeling for Dynamic System-Level Simulations of Cellular and Mobile Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 282465 15 pages doi 2010 282465 Research Article Efficient Uplink Modeling for Dynamic System-Level Simulations of Cellular and Mobile Networks Ingo Viering 1 Andreas Lobinger 2 and Szymon Stefanski3 1Nomor Research GmbH 81541 Munich Germany 2Nokia Siemens Networks 81541 Munich Germany 3Nokia Siemens Networks 53-611 Wroclaw Poland Correspondence should be addressed to Andreas Lobinger Received 11 February 2010 Accepted 23 July 2010 Academic Editor Christian Hartmann Copyright 2010 Ingo Viering 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. A novel theoretical framework for uplink simulations is proposed. It allows investigations which have to cover a very long real- time and which at the same time require a certain level of accuracy in terms of radio resource management quality of service and mobility. This is of particular importance for simulations of self-organizing networks. For this purpose conventional system level simulators are not suitable due to slow simulation speeds far beyond real-time. Simpler snapshot-based tools are lacking the aforementioned accuracy. The runtime improvements are achieved by deriving abstract theoretical models for the MAC layer behavior. The focus in this work is long term e volution and the most important uplink effects such as fluctuating interference power control power limitation adaptive transmission bandwidth and control channel limitations are considered. Limitations of the abstract models will be discussed as well. Exemplary results are given at the end to demonstrate the capability of the derived framework. 1. Introduction The requirements for simulation tools are changing with the introduction of novel advanced