Quality of Service aware dynamic BBU-RRH mapping in Cloud Radio Access Network

Abstract

Cloud Radio Access Network (C-RAN) is considered to be the candidate for enabling the next generation mobile communication networks (5G). C-RAN has the ability to dynamically adjust the logical connections between the BBUs and RRHs according to traffic conditions. This paper explores the capacity routing ability of C-RAN to enable load balancing in the network. A self organised C-RAN is proposed and formulated as an optimisation problem, which aims to balance network traffic by reducing the number of blocked calls in the network and improving the QoS. The QoS in this paper is represented by a KPI, which is the inverse of blocked calls. A Genetic Algorithm is proposed for optimisation. A scenario of 19 RRHs distributed over a geographical area is considered. The RRHs are managed by 2 BBUs in the pool. The RRHs are divided into 6 sectors with each BBU handling 3 sectors. The initial BBU-RRH configuration causes 80 blocked calls in the entire network with a QoS evaluation value of 0.0125. After performing the algorithm, it is observed that the network is balanced by reconfiguring the BBU-RRH connections, finding the optimum solution, reducing the blocked calls to zero and improving the QoS of the network i.e., QoS=1.