Automatic Regulation Mechanism of Network Congestion for Autonomous Network

Abstract

In recent years, 5G networks take advantage of high speed, low latency, and massive connectivity to enable various practical services. To meet the requirements of services, 5G networks bring new challenges to the field of network management. First, the demand for high speed and massive bandwidth would easily lead to a decline in network service quality and an unbalanced bandwidth-load situation. Second, in the telecommunication networks, the complex and huge networks imply that the quality is difficult to maintain and may require high costs. Third, in telecommunications companies, network maintenance staff may make errors in network configuration through manual operations. To tackle the above challenges, this paper proposes an automatic regulation mechanism. The proposed mechanism establishes a closed-loop automatic process. It includes automatic congestion detection, automatic adjustment mechanism, and trunk bandwidth-load scoring algorithm model. The main contributions of this paper are as follows: (1) potential network congestion or problems can be detected early and solved before the problem occurs, (2) the closed-loop automation mechanism can reduce operating manpower and costs, and (3) the proposed mechanism can effectively avoid manual errors which caused by human negligence.