An introduction to fuzzy control (2nd ed.)
An introduction to fuzzy control (2nd ed.)
Parallel execution for serial simulators
ACM Transactions on Modeling and Computer Simulation (TOMACS)
GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
A model for parallel simulation of mobile telecommunication systems
MASCOTS '96 Proceedings of the 4th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
The DynaNet system for modelling, designing and simulating dynamic wireless networks: an overview
International Journal of Mobile Network Design and Innovation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
A self-optimization method for coverage-capacity optimization in OFDMA networks with MIMO
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Hi-index | 0.00 |
In this paper, we present a multisystem wireless simulator based on a semi-dynamic principle with sequential executions to assess the performance of a large-scale network with tens to hundreds of base stations and WLAN hot spots. The semi-dynamic simulator achieves a fast computation time by exploiting the advantages of both analytical modelling and event driven simulation. The simulator architecture is briefly illustrated and the theoretical background is highlighted as well as the implemented Radio Resource Management (RRM) and Joint-RRM (JRRM) algorithms. The simulator is well suited to guide heterogeneous radio network deployment and design. Simulation results are provided to illustrate the practical use of the simulator as well as its efficiency.