A game theoretic framework for bandwidth allocation and pricing in broadband networks
IEEE/ACM Transactions on Networking (TON)
Trust-region methods
Convex Optimization
IEEE Transactions on Wireless Communications
Simultaneous Water Filling in Mutually Interfering Systems
IEEE Transactions on Wireless Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Spectrum sharing for unlicensed bands
IEEE Journal on Selected Areas in Communications
Radio resource sharing games: enabling QoS support in unlicensed bands
IEEE Network: The Magazine of Global Internetworking
Game theory for cognitive radio networks: An overview
Computer Networks: The International Journal of Computer and Telecommunications Networking
Resource allocation for multiuser cognitive OFDM networks with proportional rate constraints
International Journal of Communication Systems
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In this paper we develop a framework for resource allocation in a secondary spectrum access scenario, where a group of Cognitive Radios (CR) access the resources of a primary system. We assume the primary system is a cellular OFDM-based network operating in uplink. We develop an optimum resource allocation strategy, using cooperative Game Theory, which guarantees the primary's required QoS and allocates an achievable rate at a given bit error rate for the secondary, when possible. The proposed Cognitive Radio Game (CRG) is a network-assisted resource management method, where users (both primary and secondary) inform the primary system's BS of their channel state information and power limitation and the base station calculates the optimum sub-channel and power allocation for all users. Using Game theoretic axiom of fairness, i.e., Nash Bargaining Solutions (NBS), we develop an alternative efficient and fair resource allocation and compare its performance with the proposed CRG method. We use Sequential Quadratic Programming (SQP) to solve the proposed nonlinearly constrained CRG optimization problem.