基于博弈论的协作超宽带系统资源分配算法

为使多用户协作超宽带系统的资源分配算法能在有效利用系统资源的同时满足用户的服务质量QoS(Quality of Service)公平性需求，在纳什议价解方法和凸优化理论基础上，将合作博弈论方法用于协作多频带超宽带系统的资源优化分配中。提出以最大化系统净效用为目标，以用户的QoS需求为公平性指标的协作超宽带系统协作伙伴选择算法和自适应功率分配算法。通过仿真与最大化系统速率（max-rate）和最大化最小用户速率(max min) 公平性算法作比较，证明了该资源分配方法在最大化系统速率和用户QoS公平性两方面有很好的折衷，适于超宽带系统。

Resource Allocation Algorithm of Cooperative UWB System Based on Game Theory

To effectively utilize resource and ensure usersQoS（Quality of Service） demand at the same time, cooperative game theory method is employed to resource allocation algorithm of cooperative MB-OFDM (Multiband Orthogonal Frequency Division Multiplexing) UWB（Ultra-WideBand） systems. Applying NBS（Nash Bargaining Solution) method and convex optimization theory the relay partner selection algorithm and adaptive power allocation algorithm are proposed. The proposed algorithms are given to maximize the payoffs of system and to ensure QoS demand (the minimum date rates)of the users, which is the scale index of fairness. Simulation results show that the proposed algorithms can provide a good tradeoff between the overall system rate and the fairness comparing with the other two resource allocation algorithms, i.e. the maximizing system rate and the max min farness algorithm.