Transmission Power Control for Opportunistic QoS Provision in Wireless Networks

Autor: F. de S. Chaves, M. Abbas-Turki, H. Abou-Kandil, João Marcos Travassos Romano
Přispěvatelé: Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Cachan (ENS Cachan)
Rok vydání: 2013
Předmět:
Zdroj: IEEE Transactions on Control Systems Technology
IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2013, 21 (2), pp.315-331. ⟨10.1109/TCST.2011.2181080⟩
ISSN: 1558-0865
1063-6536
Popis: This paper proposes an automatic control framework to address the problem of distributed and opportunistic transmission power control in wireless communication networks. The proposed framework allows high flexibility on the quality of service (QoS) provision by exploiting the link quality variation. It associates a standard target tracking algorithm with a dynamic target QoS determined by a linear quadratic regulator (LQR) controller that induces an opportunistic behavior. Strict QoS requirements can also be fulfilled by choosing appropriately the weighting parameters of the LQR synthesis. To prevent performance degradation due to measurement uncertainties, robust solutions are developed. The proposed mixed H2/H∞ distributed power control combines the optimal H2 control and the robust H∞ control to obtain trade-off solutions. All developed algorithms present low computational complexity, and the mixed H2/H∞ distributed power control can operate as the pure H2 control if the robust constraint is relaxed according to the choice of a single parameter. The performance of proposed algorithms is assessed through computer simulations.
Databáze: OpenAIRE