Wireless Resource Allocation based on Multiplexing and Isolation in Sliced 5G Networks

In the 5th-Generation of Mobile Networks (5G), network slices are formed to provide customized services by sharing the wireless resource and the infrastructures of the system. To improve the wireless resource capacity, it is necessary to multiplex the wireless resource among the slices efficiently. At the same time, wireless resource isolation is significant to meet the quality-of-service (QoS) requirements of one slice when other slices vary. Therefore, how to achieve high wireless resource capacity while achieving the wireless resource isolation among slices is a significant problem. This paper studies wireless resource allocation in sliced 5G networks considering the tradeoff between the multiplexing and the isolation of wireless resource. Firstly, two indicators are defined to denote the wireless resource multiplexing gain and the wireless resource isolation performance, respectively. And the relationship between them is further analyzed. Next, the wireless resource allocation is formulated as an optimization problem, which aims to maximize the wireless resource multiplexing gain with the constraint of the wireless resource isolation requirements. Then, an improved genetic algorithm based on the optimal preservation scheme and the matrix coding is designed to solve the formulated problem. Simulation results show that, compared with the existing scheme without the isolation performance constraints of the slices and the scheme without multiplexing wireless resource among slices, the proposed scheme can achieve a better resource multiplexing gain while guaranteeing the isolation requirements of the slices.