A novel algorithm of virtual resource allocation in heterogeneous radio access networks

The existing radio access network system is static and rigid which could not satisfy the communication requirements of the modern society - flexibility, mobility and intelligence. This paper studies the problems of virtualized resource allocation with multi-objective mapping in heterogeneous radio access network. First, a mathematical model of the multi-objective mapping for virtualized resources is established for heterogeneous radio access network. Next, the dynamic differential evolutionary algorithm is used to solve the multi-objective model. During the process, the weight values of objective function are adjusted by machines learning algorithm, so as to realize the result that the unilaterally value of multi-objective optimization is close to the value of solo-objective optimization. Finally, simulated experiment shows that the proposed algorithm has good fast convergence in different network load scenarios.