Throughput prediction is essential for congestion control and LTE network management. In this paper, the autoregressive integrated moving average (ARIMA) model and exponential smoothing model are used to predict the throughput in a single cell and whole region in an LTE network. The experimental results show that these two models perform differently in both scenarios. The ARIMA model is better than the exponential smoothing model for predicting throughput on weekdays in a whole region. The exponential smoothing model is better than the ARIMA model for predicting throughput on weekends in a whole region. The exponential smoothing model is better than the ARIMA model for predicting throughput in a single cell. In these two LTE network scenarios, throughput prediction based on traffic time series leads to more efficient resource management and better QoS.

When deploying an LTE network, coverage planning is critical to reduce construction costs and ensure network quality. This paper considers actual network planning requirements and combines theory with simulation analysis to study LTE wireless access link and network characteristics. A theory for LTE cellular coverage planning and application methods is proposed that lays the basic foundation for LTE cellular networks.