Opportunistic capacity based resource allocation for 6G wireless systems with network slicing

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.