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Mohammadreza Ataei Instructor : Prof. J.Omidi
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3 1)Non-Cooperative Games a discipline for modeling situations 2) Auction Design a method to determine the value of a commodity that has an undetermined or variable price 3) Graph Coloring assigning a color to the vertices of a bidirectional graph
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4 Nash Equilibrium Pareto-optimality and Price of Anarchy ◦ Pareto Superior ◦ Pareto Optimal: if there exists no other strategy profile that is Pareto-superior to this strategy profile
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5 Channel allocation problem
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6 unlicensed band wireless systems ◦ Severe interference ◦ Tragedy of commons cognitive radios ◦ Primary user identification ◦ Potential interference ◦ Cognition & decision making
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7 Spectrum Sharing among Heterogeneous Wireless Systems Goal : Maximize The Rate Strategy : Power Allocation Spectrum Sharing among WiFi Operators Goal : maximize the total number of mobile users Strategy : channel assignment for its own APs
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8 Non-cooperative Each System : Power Allocation -> Maximize The Rate : power spectral density Freq. flat allocation : -> N.E. (repeated game-> Pareto efficient)
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9 fixed number of channels Each WiFi operator : channel assignment for its own APs -> maximize the total number of mobile users Graph Coloring Local Bargaining : ◦ 2-buyer-1-seller bargains ◦ 1-buyer-multiple-seller bargains poor performance -> GLOBAL BARGAINING
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11 Opportunistic Spectrum Sharing Goal : maximize the utilization Strategy : opportunistic with cooperation channel selection Auction Based Spectrum Sharing Goal : maximize payoff minus cost Strategy : Power Adjusting Spectrum Sharing in OFDM Networks Goal : QoS Strategy : sub-channel selection
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12 primary users acquire their own radio band each radio band is divided into several channels CGs are free to utilize channels as long as they do not interfere with the primary users CGs cooperate with each other CGs : channel allocation -> maximum utilization Secondary users 1 and 3 can emit on channel A graph coloring ◦ With coordination Mobile ◦ ->local bargaining
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13 primary user lets secondary users access its spectrum subject to a given power constraint ◦ ->total interference must be below a threshold auction-based spectrum sharing CGs : submit bids ->maximize its payoff minus cost non-cooperative game -> total received power :
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14 Each CG : access to the available sub-channels -> Reach QoS constraint in terms of throughput Solving The Game : NP-hard Reduce to 2 optimization problems ◦ -> always exists a NE for the non-cooperative For better results : virtual referee -> limit sub-channel access -> each user must have access to at least one sub-channel
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16 Shared Spectrum Company SSC. Dynamic Spectrum Sharing. In Presentation to IEEE Communications Society, 2005. B. Fette. Cognitive Radio Technology. Newnes, 2006. J. Mitola III. Cognitive Radio Architecture: The Engineering Foundations of Radio XML. Wiley, 2006. . Nash. Equilibrium Points in N-person Games. Proceedings of the National Academy of Sciences, 36:48–49, 1950.
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17 Thanks For Your Attention QUESTIONS?
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