竞价视角下异构认知无线网络的动态频谱分配

Jinzhao Su, Jianfei Wang, Wei Wu
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引用次数: 2

摘要

为吸引主要用户参与二级频谱市场,建议以拍卖方式进行频谱交易。现有的拍卖方案要么是只支持异构认知无线网络而不保证出价真实性的单边交易,要么是只支持同质信道的真实单机拍卖。在实际频谱交易中,综合考虑频谱分配和复用性、信道多样性和经济性等因素的方法很少。提出了一种具有异构网络支持特征的双边真实多单元拍卖(TBMAH)。我们在仿真和真实网络上进行了实验,结果表明TBMAH比TRUST平均多交易13.01%的频谱资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic spectrum allocation for heterogeneous cognitive radio networks from auction perspective
For attracting primary users to participate in secondary spectrum market, auction was proposed as an alternative for spectrum trade. Existing auction schemes are either to be single-sided trade which only supports heterogeneous cognitive radio networks without guarantee of bid truthfulness, or to be truthful single-unit auction which only supports homogeneous channels. Few of them comprehensively take all these factors in practical spectrum trade into consideration such as spectrum allocation and reusability, channel diversity and economic property. A Truthful Bilateral Multi-unit Auction with features of supporting Heterogeneous networks(TBMAH) is proposed in this paper. We do experiments with both simulation and real networks, and the results show that TBMAH trades more spectrum resources than TRUST by 13.01% in average.
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