The impact of Radio link failure (RLF) has been largely ignored in designing handover algorithms, although RLF is a major contributor towards causing handover failure (HF). RLF can cause HF if it is detected during an ongoing handover. The objective of this work is to propose an efficient power control mechanism based on Deep Q-Network (DQN), considering handover parameters (i.e., time-to-preparation, time-to-execute, preparation offset, execution offset) and radio link monitoring parameters (T310 and N310) as input. The proposed DRL based power control algorithm decides on a possible increase of transmitting power to avoid RLF driven HF. Simulation results show that the traditional conditional handover, when equipped with the proposed DRL based power control algorithm can significantly reduce both RLFs and subsequent HFs, as compared to the existing state of the art approaches.

翻译：在设计切换算法时，无线链路故障的影响在很大程度上被忽视了，尽管RLF是导致切换失败的主要因素。如果在进行中的切换过程中检测到RLF，则RLF可能导致HF。本工作的目标是提出一种基于深度Q网络的高效功率控制机制，该机制以切换参数（即准备时间、执行时间、准备偏移量、执行偏移量）和无线链路监测参数（T310和N310）作为输入。所提出的基于深度强化学习的功率控制算法决定是否可能增加发射功率，以避免RLF驱动的HF。仿真结果表明，与现有最先进方法相比，传统的条件切换在配备所提出的基于深度强化学习的功率控制算法后，能够显著减少RLF及随后的HF。