In this paper, we present a quality of service (QoS)-aware priority-based spectrum management scheme to guarantee the minimum required bit rate of vertical sector players (VSPs) in the 5G and beyond generation, including the 6th generation (6G). VSPs are considered as spectrum leasers to optimize the overall spectrum efficiency of the network from the perspective of the mobile network operator (MNO) as the spectrum licensee and auctioneer. We exploit a modified Vickrey-Clarke-Groves (VCG) auction mechanism to allocate the spectrum to them where the QoS and the truthfulness of bidders are considered as two important parameters for prioritization of VSPs. The simulation is done with the help of deep deterministic policy gradient (DDPG) as a deep reinforcement learning (DRL)-based algorithm. Simulation results demonstrate that deploying the DDPG algorithm results in significant advantages. In particular, the efficiency of the proposed spectrum management scheme is about %85 compared to the %35 efficiency in traditional auction methods.

翻译：本文提出了一种基于服务质量（QoS）感知的优先级频谱管理方案，用于保障5G及下一代网络（包括第六代移动通信系统，6G）中垂直行业参与者（VSPs）所需的最低比特率。VSPs被视为频谱租用者，从移动网络运营商（MNO）作为频谱许可证持有者和拍卖者的角度优化网络整体频谱效率。我们采用改进的维克里-克拉克-格罗夫斯（VCG）拍卖机制为其分配频谱，其中QoS与竞标者的诚实度作为VSPs优先级排序的两个重要参数。仿真采用基于深度强化学习（DRL）的深度确定性策略梯度（DDPG）算法实现。仿真结果表明，部署DDPG算法可带来显著优势，特别地，所提频谱管理方案的效率约为85%，而传统拍卖方法的效率仅为35%。