Mathematical control theory: deterministic finite dimensional systems (2nd ed.)
Mathematical control theory: deterministic finite dimensional systems (2nd ed.)
CDMA uplink power control as a noncooperative game
Wireless Networks
Dynamic Programming
A hybrid systems model for power control in multicell wireless data networks
Performance Evaluation - Selected papers from the first workshop on modeling and optimization in mobile, ad hoc and wireless networks (WiOpt'2003)
Introducing consciousness in UWB networks by hybrid modelling of admission control
Mobile Networks and Applications
Analysis and design of cognitive radio networks and distributed radio resource management algorithms
Analysis and design of cognitive radio networks and distributed radio resource management algorithms
Cognitive Networks: Towards Self-Aware Networks
Cognitive Networks: Towards Self-Aware Networks
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
A hybrid system model of seasonal snowpack water balance
Proceedings of the 13th ACM international conference on Hybrid systems: computation and control
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In this paper, we deal with hybrid modelling, optimal control and stability in cognitive radio networks. Networks that are based on cognitive radio communications are intelligent wireless communication systems. They are conscious about changes in the environment and are able to react in order to achieve an optimal utilization of the radio resources. We provide a general hybrid model of a network of nodes operating under the cognitive radio paradigm. The model abstracts from the physical transmission parameters of the network and focuses on the operation of the control module. The control problem consists in minimizing the consumption of the network, in terms of average transmitted power or total energy spent by the whole network. A hybrid optimal control problem is solved and the power-optimal control law is computed. We introduce the notion of network configuration stability and derive a control law achieving the best compromise between stability and optimal power consumption. Finally, we apply our results to the case of a cognitive network based on UWB technology.