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LOTUS: Location-Aware Online Truthful Double Auction for Dynamic Spectrum Access

机译:莲花:位置感知的在线真实双拍卖,用于动态频谱访问

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摘要

In the spectrum auction, if a buyer locates in a “critical” place, interfering with a lot of other buyers, his occupancy of the spectrum may deprive many other transmission opportunities. In this paper, we propose a Location-aware Online Truthful doUble auction Scheme (LOTUS), which incorporates the buyers' location information into auction mechanism design. In the online auction, the biggest challenge is how to allocate the spectrums based on the knowledge in the current time slot, without knowing the spectrum requests that may come afterward. To solve this problem, we propose considering the opportunity cost of allocating the spectrum to a buyer based on his local interference conditions. We introduce the “interference discount” to markdown a buyer's bid if he induces a wide range of interference. Furthermore, we take into account the spectrum heterogeneity and design mechanisms that guarantee the economic robustness of the auction. The simulation results show that LOTUS outperforms the existing online auction mechanism, significantly improving buyers' and sellers' utility.
机译:在频谱拍卖中,如果买家位于“关键”位置,并且干扰了许多其他买家,那么他对频谱的占用可能会剥夺许多其他传输机会。在本文中,我们提出了一种位置感知在线真双倍拍卖计划(LOTUS),该计划将买家的位置信息纳入拍卖机制设计。在在线拍卖中,最大的挑战是如何基于当前时隙中的知识分配频谱,而又不知道随后可能出现的频谱请求。为了解决这个问题,我们建议考虑根据买方的本地干扰条件将频谱分配给买方的机会成本。如果买方引起广泛的干扰,我们将引入“干扰折扣”以降低买方的出价。此外,我们考虑了频谱异质性和设计机制,这些机制可确保拍卖的经济稳健性。仿真结果表明,LOTUS的性能优于现有的在线拍卖机制,大大提高了买方和卖方的效用。

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