A simulation setup validation framework for modelling architectures and algorithms in designing large scale wireless communication systems

Channel allocation is one of the fundamental issues in designing wireless communications systems due to the fact that it determines how the available bandwidth will be managed over the changeable user demands. The limited channel capacity and the increasing requirements for advanced services such as real time video grant channel allocation strategies a special role. Plethora of channel allocation strategies have been proposed in the literature for supporting GSM and 3G communication as well as multimedia data services and tested through generic or specific simulation architectures for medium size networks. The problem, however, still remains, that is how reliable are the simulation results attained, compared to the performance of real world mobile communication systems. In large scale networks, the problem is getting even worse, since generic simulation systems are well adapted to medium scale problems but not to higher complexity systems, where the traffic conditions cannot be predicted. Therefore, some strategies should be involved to investigate the validity of the simulation models implemented in the proposed simulators. This paper, presents a validation framework for such simulation systems based on an architecture involving a hierarchy of several key components in order to manage this important issue. Some initial experimental results are compared favourably to the theoretical ones.

[1]  David B. Johnson Validation of Wireless and Mobile Network Models and Simulation , 2007 .

[2]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[3]  Dimitrios A. Karras,et al.  On the efficient implementation of a high performance multi-agent simulation system for modeling cel , 2009 .

[4]  Georg Wittenburg,et al.  A Quantitative Evaluation of the Simulation Accuracy of Wireless Sensor Networks , 2007 .

[5]  Koen Langendoen,et al.  Experimental Evaluation of Simulation Abstractions for Wireless Sensor Network MAC Protocols , 2009, CAMAD.

[6]  Dimitrios A. Karras,et al.  On a new generation of event scheduling algorithms and evaluation techniques for efficient simulation modelling of large scale cellular networks bandwidth management based on multitasking theory , 2008 .

[7]  Dimitris A. Karras,et al.  On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance , 2013, Telecommun. Syst..

[8]  Per Gunningberg,et al.  Evaluating wireless multi-hop networks using a combination of simulation, emulation, and real world experiments , 2007, MobiEval '07.

[9]  Randy Brown,et al.  Calendar queues: a fast 0(1) priority queue implementation for the simulation event set problem , 1988, CACM.

[10]  Dimitrios A. Karras,et al.  New Strategies Based on Multithreading Methodology in Implementing Ant Colony Optimization Schemes for Improving Resource Management in Large Scale Wireless Communication Systems , 2010 .

[11]  Dimitris A. Karras,et al.  Modeling efficient dynamic channel assignment schemes for quality of service wireless multimedia telecommunications through an extended and integrated Java simulation framework , 2012, The First International Conference on Future Generation Communication Technologies.