A New Algorithm For Maximizing Total Big Data Flow In A Cloud Radio Access Network

In this paper, we propose a new algorithm to maximize the total down link Big Data flow in terms of total number of transmitted packets per millisecond for cloud radio access networks (C-RANs). We formulate the above problem using the C-RAN graph. The fairness is the implicit objective of this problem. The proposed algorithm solves this problem by selecting paths of the Big Data transmission. Simulation results show that the proposed algorithm achieves better total Big Data flows, as well as better fairness.