Wireless resource allocation scheme for network slicing based on differentiated isolation and multiplexing

In order to study wireless resource multiplexing in network slicing, the trade-off among multiplexing, isolation and priority was considered, a network slicing wireless resource allocation scheme based on differential isolation and multiplexing was proposed. On the basis of existing research findings, the parameters of multiplexing gain and isolation factor were redefined. A weighted sum function was constructed based on multiplexing gain and isolation factor, considering slice priority. The multiply isolation priority wireless access (MIPWA) algorithm was designed, which was based on an improved genetic algorithm (GA), introducing matrix coding, roulette wheel selection, and elitism. The results show that the MIPWA algorithm improves the isolation performance of slice 1, slice 2, and slice 3 by 66.37%, 52.73%, and 21.16% respectively, with only a loss of 5.82%, 3.86%, and 3.50% in multiplexing gain. Compared with algorithms of only isolation, its multiplexing gain increases by 65.35%, 52.74%, and 22.81% respectively, with only a loss of 2.85%, 3.85%, and 1.86% in isolation gain. Taking multiplexing gain as an example, the optimization results of the MIPWA algorithm under three slices are 5.07%, 1.81%, and 1.4% higher than those of the traditional GA.