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首页> 外文期刊>IEICE Transactions on Communications >Dynamic Multi-Band Sharing in Cognitive Radio Networks: A Market Game Approach
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Dynamic Multi-Band Sharing in Cognitive Radio Networks: A Market Game Approach

机译:认知无线电网络中的动态多频段共享:一种市场博弈方法

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The traditional spectrum auctions require a central auctioneer. Then, the secondary users (SUs) can bid for spectrum in multiple auction or sealed auction way. In this paper, we address the problem of distributed spectrum sharing in the cognitive networks where multiple owners sell their spare bands to multiple SUs. Each SU equips multi-interface/multi-radio, so that SU can buy spare bands from multiple owners. On the other hand, each owner can sell its spare bands to serval SUs. There are two questions to be addressed for such an environment: the first one is how to select bands/the owners for each SU; the second one is how to decide the competitive prices for the multiple owners and multiple SUs. To this end, we propose'a two-side multi-band market game theoretic framework to jointly consider the benefits of all SUs and owners. The equilibrium concept in such games is named core. The outcomes in the core of the game cannot be improved upon by any subset of players. These outcomes correspond exactly to the price-lists that competitively balance the benefits of all SUs and owners. We show that the core in our model is always non-empty. When the measurement of price takes discrete value, the core of the game is defined as discrete core. The Dynamic Multi-band Sharing algorithm (DMS) is proposed to converge to the discrete core of the game. With small enough measurement unit of price, the algorithm can achieve the optimal performance compared with centralized one in terms of the system utility.
机译:传统频谱拍卖需要中央拍卖商。然后,二级用户(SU)可以通过多种拍卖或密封拍卖方式竞标频谱。在本文中,我们解决了认知网络中的分布式频谱共享问题,在认知网络中,多个所有者将其备用频段出售给多个SU。每个SU都配备了多接口/多无线电,因此SU可以从多个所有者那里购买备用频带。另一方面,每个所有者都可以将其备用频段出售给服务性SU。对于这种环境,有两个问题需要解决:第一个是如何为每个SU选择频段/所有者。第二个是如何确定多个所有者和多个SU的竞争价格。为此,我们提出了一个“两面多频带市场博弈理论框架”,以共同考虑所有SU和所有者​​的利益。这种博弈中的均衡概念称为核心。任何玩家子集都无法提高游戏核心的结果。这些结果与价格表完全对应,这些价格表在竞争上平衡了所有SU和所有者​​的利益。我们证明了模型的核心始终是非空的。当价格计量采用离散值时,游戏的核心定义为离散核心。提出了动态多频带共享算法(DMS)以收敛到游戏的离散核心。以足够小的价格计量单位,与系统集中度相比,该算法可以达到最佳性能。

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