Optimized artificial neural network assisted trade-off between transmission and delay in LTE networks

Abstract

The quality of data transmitted via LTE channels is often affected with the trade-off between the delay and network throughput. It often affects the performance of video transmitted with data rate distortion. In this paper, Lagrange dual multiplier with Artificial Neural Network (ANN) is used to solve the NP-hard problem and incorporates the Lagrange approach to achieve an optimum solution for higher network rating by reducing resource allocation. The way to find the optimal radio resource block (RRB) assignment strategy is iterated many times. Lagrange Dual Multiplier will also be used and implemented in this solution and this will help to achieve a closed form solution for any RRB assignment and further simulations to assess the efficiency of the process proposed. The experimental verification shows the efficacy of the model over existing state-of-art mechanism in terms of transmission errors and delay.