Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks

Abstract Providing connectivity to high-density traffic demand is one of the key promises future wireless networks. The open radio access network (O-RAN) critical drivers ensuring such in heterogeneous Despite intense interest from researchers this domain, challenges remain ensure efficient resource allocation and utilization. This paper proposes a dynamic forecasting scheme predict federated O-RAN. Utilizing information on user capacity, we propose fully reconfigurable admission control framework via fuzzy-logic optimization. We also perform detailed analysis several parameters (user satisfaction level, utilization gain, fairness) over benchmarks various papers. results show that proposed fuzzy-logic-based significantly enhances fairness provides guaranteed quality experience without sacrificing Moreover, have proven can accommodate large number devices connected simultaneously