Intelligent multi-agent based C-RAN architecture for 5G radio resource management

Abstract

5G commercialized mobile networks are expected to arrive in 2020. Key research of 5G is to support massive applications with spectral efficiency (SE) and low energy consumption. However, how to manage limited spectrum for such a massive services demand is a challenge in 5G. To cope with the challenge, new network architectures with dynamic spectrum sharing - are needed. This paper proposes a new intelligent cloud-based radio access network (ICB-RAN) architecture for dynamic 5G radio resource management. This study also develops a new multi-agent learning cloud assisted double auction (MLCADA) mechanism for dynamic spectrum reusability. Finally, experiment results verify the performance of the proposed approach.