A New Scheme for Resource Allocation in Heterogeneous Wireless Networks based on Big Data
Abstract
Joint Radio Resource Management (JRRM) has been used for an effective use of radio resources in heterogeneous networks. The efficiency and function of this method of management will be better than radio independent resources management in any radio access technology. In this paper, we introduce new management which its function is based on data analysis on the basis of Big Data technology. In our proposed scheme, we choose the most appropriate RAT considering various parameters including service type, the information relevant to the user’s location, the user’s type of movement and service costs and also by considering few statistical indices. It is predicted that aside from the increase in the decision-making’s correctness in choosing RAT and the ideal distribution of network load, the proposed method provides fewer service for the operators. This issue can be considered a lot in implementing wireless heterogeneous networks.