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This paper investigates the dynamic selection of transmission opportunity (TXOP) which was originally proposed in IEEE 802.11e Enhanced Distributed Channel Access (EDCA). A game theoretic optimisation framework is proposed to schedule the optimal TXOP value for every station according to the current channel capacity and transmission requirements of the stations, in order to improve the efficiency...
Facilitated by advanced information and communication technologies (ICT) infrastructure and optimization techniques, smart grid has the potential to bring significant benefits to the energy consumption management. This paper presents a game theoretic consumption scheduling framework based on the use of mixed integer programming (MIP) to schedule consumption plan for residential consumers. In particular,...
This paper considers the problem of channel selection and dynamic spectrum access in distributed cognitive radio networks. The ability of a cognitive radio to adaptively switch between channels offers tremendous scope to optimize performance. In this paper, the dynamic spectrum access in a distributed network is modeled as a noncooperative game and the equilibrium solutions are obtained through a...
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