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首页> 外文期刊>Vehicular Technology, IEEE Transactions on >Multi-Item Spectrum Auction for Recall-Based Cognitive Radio Networks With Multiple Heterogeneous Secondary Users
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Multi-Item Spectrum Auction for Recall-Based Cognitive Radio Networks With Multiple Heterogeneous Secondary Users

机译:具有多个异构二级用户的基于召回的认知无线电网络的多项目频谱拍卖

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摘要

In this paper, we consider a spectrum auction system among heterogeneous secondary users (SUs) with various quality-of-service (QoS) requirements and a recall-based primary base station (PBS) that could recall channels after auction to deal with a sudden increase in its own demand. Beginning with proposing a recall-based single-winner spectrum auction (RSSA) algorithm, we further extend our work to allow multiple winners in order to improve the spectrum utilization and propose a recall-based multiple-winner spectrum auction (RMSA) algorithm. A combinatorial auction model is then formulated, and Vickrey-Clarke-Groves (VCG) mechanism is applied in the payment function. Moreover, the proposed RMSA algorithm focuses on a fair spectrum allocation among heterogeneous SUs and the increase in the PBS's auction revenue. Both theoretical and simulation results show that the proposed spectrum auction algorithm can improve the spectrum utilization with guarantees on SUs' heterogeneous QoS requirements.
机译:在本文中,我们考虑了具有各种服务质量(QoS)要求的异构二级用户(SU)和基于召回的主基站(PBS)之间的频谱拍卖系统,该系统可以在拍卖后召回频道以应对突发事件。自身需求增加。从提出基于召回的单赢家频谱拍卖(RSSA)算法开始,我们进一步扩展了我们的工作以允许多个赢家,以提高频谱利用率,并提出了基于召回的多赢者频谱拍卖(RMSA)算法。然后制定组合拍卖模型,并将Vickrey-Clarke-Groves(VCG)机制应用于支付功能。此外,提出的RMSA算法着重于异构SU之间的公平频谱分配以及PBS拍卖收入的增加。理论和仿真结果均表明,所提出的频谱拍卖算法可以在保证SUs异构QoS需求的前提下提高频谱利用率。

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