0000000000212870

AUTHOR

Xiaoge Huang

showing 5 related works from this author

Non-convex distributed power allocation games in cognitive radio networks

2013

In this thesis, we explore interweave communication systems in cognitive radio networks where the overall objective is to maximize the sum-rate of each cognitive radio user by optimizing jointly both the detection operation based on sensing and the power allocation across channels, taking into account the influence of the sensing accuracy and the interference limitation to the primary users. The optimization problem is addressed in single and multiuser cognitive radio networks for both single-input single-output and multi-input multi-output channels. Firstly, we study the resource allocation optimization problem for single-input single-output single user cognitive radio networks, wherein th…

Computer Science::Computer Science and Game Theory:CIENCIAS TECNOLÓGICAS::Tecnología de las telecomunicaciones::Otras [UNESCO]Quasi-Nash EquilibriumNon-convex OptimizationCognitive Radio NetworksNon-cooperative GameUNESCO::CIENCIAS TECNOLÓGICAS::Tecnología de las telecomunicaciones::Otras
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Non-convex power allocation games in MIMO cognitive radio networks

2013

Consideramos un escenario de reparto del espectro, basado en la detección, en una red de radio cognitiva MIMO donde el objetivo general es maximizar el rendimiento total de cada usuario de radio cognitiva optimizando conjuntamente la operación de detección y la asignación de potencia en todos los canales, bajo una restricción de interferencia para los usuarios primarios. Los problemas de optimización resultantes conducen a un juego no convexo, que presenta un nuevo desafío a la hora de analizar los equilibrios de este juego. Con el fin de hacer frente a la no convexidad del juego, utilizamos un nuevo concepto relajado de equilibrio, el equilibrio cuasi-Nash (QNE). Se demuestran las condicio…

3G MIMOnon-cooperative gamesComputer Science::Computer Science and Game TheoryMathematical optimization:CIENCIAS TECNOLÓGICAS [UNESCO]021103 operations researchOptimization problemComputer scienceMIMO0211 other engineering and technologies020206 networking & telecommunicationsThroughput02 engineering and technologyUNESCO::CIENCIAS TECNOLÓGICASCognitive radio0202 electrical engineering electronic engineering information engineeringquasi-Nash equilibriumResource allocationGame theoryInterior point methodcognitive radio network
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Quasi-nash equilibria for non-convex distributed power allocation games in cognitive radios

2013

In this paper, we consider a sensing-based spectrum sharing scenario in cognitive radio networks where the overall objective is to maximize the sum-rate of each cognitive radio user by optimizing jointly both the detection operation based on sensing and the power allocation, taking into account the influence of the sensing accuracy and the interference limitation to the primary users. The resulting optimization problem for each cognitive user is non-convex, thus leading to a non-convex game, which presents a new challenge when analyzing the equilibria of this game where each cognitive user represents a player. In order to deal with the non-convexity of the game, we use a new relaxed equilib…

Mathematical optimizationComputer Science::Computer Science and Game TheoryOptimization problemApplied MathematicsDistributed power020302 automobile design & engineering020206 networking & telecommunications02 engineering and technologyComputer Science ApplicationsTelecomunicaciósymbols.namesakeCognitive radio0203 mechanical engineeringNash equilibriumVariational inequality0202 electrical engineering electronic engineering information engineeringsymbolsLinear independenceElectrical and Electronic EngineeringPerformance improvementInterior point methodMathematicsIEEE Transactions on Wireless Communications
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Power allocation optimization in OFDM-based cognitive radios based on sensing information

2011

Owing to the non-zero probability of the missed detection and false alarm of active primary transmission, a certain degree of performance degradation of the primary user (PU) from cognitive radio users (CRs) is unavoidable. In this paper, we consider OFDM-based communication systems and present efficient algorithms to maximize the total rate of the CR by optimizing jointly both the detection operation and the power allocation, taking into account the influence of the probabilities of missed detection and false alarm, namely, the sensing accuracy. The optimization problem can be formulated as a two-variable non-convex problem, which can be solved approximately by using an alternating directi…

Mathematical optimizationOptimization problemCognitive radioTransmission (telecommunications)Computer scienceOrthogonal frequency-division multiplexingConvex optimizationFalse alarmCommunications systemInterference (wave propagation)2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Non-cooperative power allocation game with imperfect sensing information for cognitive radio

2012

In this paper, we consider a sensing-based spectrum sharing scenario and present an efficient decentralized algorithm to maximize the total throughput of the cognitive radio users by optimizing jointly both the detection operation and the power allocation, taking into account the influence of the sensing accuracy. This optimization problem can be formulated as a distributed non-cooperative power allocation game, which can be solved by using an alternating direction optimization method. The transmit power budget of the cognitive radio users and the constraint related to the rate-loss of the primary user due to the interference are considered in the scheme. Finally, we use variational inequal…

Computer Science::Computer Science and Game TheoryMathematical optimizationOptimization problemChannel allocation schemesComputer science020206 networking & telecommunications020302 automobile design & engineeringThroughput02 engineering and technologyTransmitter power outputsymbols.namesakeCognitive radio0203 mechanical engineeringNash equilibriumVariational inequality0202 electrical engineering electronic engineering information engineeringsymbolsGame theoryThroughput (business)
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