Fuzzy Controller for Traffic Management in 5G Networks

Abstract

Communication system is evolving day by day and now entire globe communication is based on internet. Office work, academic activities in engineering field, business, banking system, government offices and different digital gazettes are performing regular processes using internet. So, data traffic volume goes on increasing exponentially and needs high capacity networks. 5th Generation (5G) networks are optimistic system to accommodate requirements of increasing demand. Complexity and challenges will also increase as system grows. Hence imminent insights and predictions are important to govern the 5G system systematically and avoid disasters in the coming days. Computational intelligence techniques are required to forecast solutions to run the system smoothly. Fuzzy logic controller is one such system to handle the dynamics and the non-linearity processes in 5G network. Authors propose novel fuzzy control algorithm to allocate the resources for User Equipment (UE) in 5G wireless network. Nowadays in the internet, multimedia data is the preferred traffic and that has contributed more to the volume of data. So Real time (RT) and Non Real time (NRT) types of requests are considered in this research. Radio Resource Control (RRC) connection management and communication protocol is used by wireless base station gNodeB (gNB) of 5G networks. The function of RRC is controlled by proposed fuzzy control algorithm. Fuzzy rules are designed, applied and analyzed for different combinations of inputs and outputs. Proposed RT First queue scheduling is used to process the RT and NRT requests. It is compared with First Come First Serve (FCFS) scheduling. RT First queue scheduling shows average response time 40% less than FCFS.