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A spectrum handoff scheme for optimal network selection in Cognitive Radio vehicular networks: A game theoretic auction theory approach

机译:认知无线电网络中用于最优网络选择的频谱切换方案:一种博弈论拍卖理论方法

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摘要

The recent strides in vehicular networks have emerged as a convergence of multi radio access networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular networks deployment, multiple radio access networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the optimal network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the optimal network for spectrum handoff. The competition between different CR vehicular node and access networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for optimal network selection using game theoretic auction theory approach in CR vehicular networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for optimal network selection among multiple available networks.
机译:随着具有不同用户偏好,多种应用需求和多种设备类型的多无线接入网络的融合,车载网络中的最新进展已经出现。在将来的认知无线电(CR)车辆网络部署中,就多个属性而言,多个无线电接入网络可以共存于具有不同特性的重叠区域中。因此,为CR车辆节点选择用于频谱越区切换决策的最佳网络成为挑战。博弈论拍卖理论方法是一种跨学科有效的方法,可以为频谱切换选择最佳网络。可以将不同CR车辆节点与接入网络之间的竞争公式化为多投标竞标,以向CR车辆节点提供服务。博弈论是应用数学的分支,它做出明智的决定,从预定的选择中选择最佳选择。因此,本文研究了在CR车辆网络中使用博弈论拍卖理论方法进行最优网络选择的频谱切换方案。本文还提出了一种优于其他现有方法的基于成本函数的多属性决策方法。数值结果表明,所提出的方案对于频谱切换是有效的,以便在多个可用网络之间进行最优网络选择。

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