Adaptive Frequency Reuse of Beam Allocation for Massive MIMO System using BP Neural Network Model

The future of wireless networks depends on highspeed data without the intervention of service. The high speed of data transmission needs new radio frequency reuse technology. As a consequence of the high rate of data used a massive MIMO system. The massive MIMO system incorporates multiple arrays of an antenna and numerous users. The multiple antenna arrays used the concept of beam forcing and frequency reuse. The idea of frequency reuse induces the problem of inter – cell mterference and inter – beam interference. The generated intervention reduces the throughput of communication. For the minimization of interference proposed BP neural network-based frequency allocation system. The BP neural network makes a decision support system for the massive MIMO. The proposed methods simulated in MATLAB software and compare with GBA. The proposed method is called GBA_BP for frequency reuse in massive MIMO.