A Grey Prediction Based Hard Handover Hysteresis Algorithm for 3GPP LTE System

The aim of this study is to develop a handover algorithm based Grey Model (1, N) in Long Term Evolution (LTE) for High Speed Railway. Many methods have been proposed by researchers is used to decision in handover only based on Reference Signal Received Power (RSRP). GM (1, N) can employ in two or more input data, thus process of handover not only consider RSRP but also Reference Signal Received Quality (RSRQ). In handover procedure, at least required two measurement reports, RSRP and RSRQ. By using both of them can guarantee the QoS of handover procedures. Due to the handover procedure in LTE belongs to a kind of hard Handover procedures, handover decision-making should be in early step, and then can get low failure rate. Therefore, we proposed Handover Decision-making Algorithm Based on Grey Model, GM (1, N). Via this method, signal received strength from eNodeB can be predicted the value for th-(n+1) measurement time, where the current measurement time is n. It can achieve better handover decision-making for in Long Term Evolution (LTE) for High Speed Railway.