Study of cell clustering optimization algorithm for load balancing in 5G scenario

Abstract

In the context of 5G networks at this stage, massive data transmission and highly dense deployment of base stations make severe interference and huge load volumes an inevitable new challenge. The traditional interference coordinated cell-clustering scheme only considers the inter-micro base station path loss without jointly considering load balancing, an important factor affecting system performance. This paper first introduces the existing cell-clustering schemes, and then proposes a cell-clustering optimization algorithm that combines path loss and load balancing on the basis of 5G cellular network architecture, and then simulate the optimization algorithm and compare the results with the traditional schemes to verify its ability to balance the load, increase the amount of transceiver data, and optimize the resource allocation and performance effects.