With the rapid increase of wireless application demand, 6G Wireless Systems need to further support the heterogeneous communication service contents with limited spectrum resources. Network slicing and cognitive radio are two promising technology to solve this problem. However, the network slicing in 6G wireless communication systems with uncertain shared spectrum barely exists in the literatures. This paper proposes an opportunistic capacity based resource allocation method for network slicing contained 6G wireless communication networks with uncertain shared spectrum. In particular, a 4D conflict graph model to describe the conflict relationship in the process of resource allocation for network slicing is constructed under scenarios of 6G wireless systems. Then, a novel Hasse traversal algorithm is proposed to achieve conflict free node set. To improve the spectrum utilization of shared spectrum, we present a novel statistical spectrum sharing model for shared channel to describe the uncertainty and derive the opportunistic capacity of shared channel. Hence, an opportunistic capacity based resource allocation method is formed for network slicing in 6G wireless systems. Simulation results show that the proposed approach can effectively improves channel utilization and make good use of the shared channel.

随着无线应用需求的快速增长，6G无线系统需要在有限的频谱资源下进一步支持异构通信业务内容。网络切片和认知无线电是解决这一问题的两项有前途的技术。然而，文献中几乎不存在共享频谱不确定的 6G 无线通信系统中的网络切片。本文提出了一种基于机会容量的资源分配方法，用于网络切片包含具有不确定共享频谱的 6G 无线通信网络。特别地，在6G无线系统场景下构建了一个4D冲突图模型来描述网络切片资源分配过程中的冲突关系。然后，提出了一种新的Hasse遍历算法来实现无冲突节点集。为了提高共享频谱的频谱利用率，我们提出了一种新的共享信道统计频谱共享模型来描述不确定性并推导出共享信道的机会容量。因此，形成了一种基于机会容量的资源分配方法，用于 6G 无线系统中的网络切片。仿真结果表明，该方法能有效提高信道利用率，充分利用共享信道。