Multi-Level Channel Valuations and Coalitional Subgames in Spatial Spectrum Reuse

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

Abstract

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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空间频谱复用中的多级信道评估和联合子博弈
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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