空间频谱复用中的多级信道评估和联合子博弈

Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun
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引用次数: 1

摘要

为了在空间频谱复用中实现异构信道估值,需要考虑涉及供需关系的用户特征。本文设计了一种非对称网络的信道交易机制,并考虑了二级用户的多级信道估值,实现了社会福利最大化。具体而言,我们通过改进的brown - kerbosch算法将SUs分组为允许的用户群(auc)。我们引入了维克里-克拉克-格罗夫斯(VCG)拍卖,其中参与者仅限于auc。为了促进投标形成,我们将受限的VCG拍卖转变为一步一步的决策过程。在每个步骤中,AUC的真实竞标都是为了揭示联盟的累积渠道估值。与此同时,联合政府中的美国政府利用可转让的公用事业进行联合博弈。我们使用Shapley值来实现联盟中su之间的公平收益分配。此外,我们通过贪婪算法和批量分配来接近最优信道分配。在我们的仿真中,我们比较了低复杂度算法,并演示了通道事务机制的效率。
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Multi-Level Channel Valuations and Coalitional Subgames in Spatial Spectrum Reuse
To enable heterogeneous channel valuations in spatial spectrum reuse, user characteristics involving the supply and demand relationship need to be considered. In this paper, we design a channel transaction mechanism for non-symmetric networks and maximize the social welfare in consideration of multi-level channel valuations of the secondary users (SUs). Specifically, we group the SUs into allowable user crowds (AUCs) through a modified Bron-Kerbosch algorithm. We introduce a Vickrey-Clarke-Groves (VCG) auction, in which the participants are limited to the AUCs. To facilitate the bid formation, we transform the constrained VCG auction to a step-by-step decision process. In each step, the truthful bidding of an AUC is to reveal the accumulated channel valuation of the coalition. Meanwhile, the SUs in a coalition play a coalitional game with transferable utilities. We use the Shapley value to realize fair payoff distribution among the SUs in a coalition. Furthermore, we approach the optimal channel allocation via a greedy algorithm and batch allocation. In our simulation, we compare the low-complexity algorithms and demonstrate the efficiency of the channel transaction mechanism.
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