Efficient Virtualization of Network Resources in MU-MIMO Systems

Abstract—In this paper, we examine the problem of resource virtualization in 5G wireless networks that employ multiple-access technology using MU-MIMO (Multiple User-Multiple Input Multiple Output). Network resource virtualization is a key approach to allocating network resources in 5G networks while MU‑MIMO complicates the problem of allocating wireless channel resources across virtual subnets, as well as between individual clients. To solve this problem, we use here the DeSlice virtualization architecture and develop a radio resource planning method that takes into account the characteristics of both the resource virtualization problem and MU-MIMO and various types of traffic, including virtual reality application traffic and web traffic. Using simulation, we demonstrate that the developed radio resource planning method significantly improves the quality of service for both types of traffic compared to the standard system. The performance evaluation results demonstrate the effectiveness of the developed method for resource allocation in a MU-MIMO system supporting network resource virtualization technology.