高速列车在越区切换过程中，由于路径损耗和地形等因素的影响，参考信号接收功率(Reference Signal Receiving Power,RSRP)会发生上下波动，采用基于A3事件的传统越区切换判决方法，会导致乒乓切换的发生和切换成功率的下降。针对此问题，提出基于改进灰色-马尔可夫模型的切换算法，通过改进灰色-马尔可夫模型对参考信号接收功率进行处理和预测，并结合预承载方法，利用处理结果作为切换判决依据执行切换过程。仿真结果表明，采用改进切换算法，使列车接收到的源小区和目标小区RSRP值的波动情况得到明显改善，乒乓切换概率更低，切换成功率得以有效提高。

During the handover process of high-speed trains, due to the influence of path loss and terrain, the Reference Signal Receiving Power (RSRP) fluctuates up and down, and the handover decision method based on the traditional A3 event will cause ping-pong. The occurrence of handover and the drop in handover success rate. To solve this problem, a handover algorithm based on an improved gray-Markov model is proposed. The received power of the reference signal is processed and predicted by an improved grey-markov model, and the handover process is executed by using the processing result as the handover decision based on the preloading method. The simulation results show that by using the improved handover algorithm, the fluctuation of RSRP values received by the train can be significantly improved, the ping-pong handover probability is lower, and the handover success rate can be effectively improved.

U285.2

国家自然科学基金(61661027)。