Dynamic packet buffer duration using machine learning

Certain aspects of the present disclosure provide techniques for packet buffering. A method, which may be performed by a receiving node, includes dynamically determining one or more durations for buffering packets. The one or more durations may be different from the duration of a configured timer used to buffer the packet. The receiving node may input one or more parameters to the machine learning algorithm and obtain one or more durations for buffering the packet based on the input one or more parameters as an output of the machine learning algorithm. The receiving node buffers the packet for the determined one or more durations. A receiving node may dynamically determine one or more durations for buffering packets using machine learning. The buffering may be at a radio link control (RLC) recombination buffer and/or a packet data convergence protocol (PDCP) buffer. 本公开内容的某些方面提供了用于分组缓冲的技术。一种可以由接收节点执行的方法包括：动态地确定用于对分组进行缓冲的一个或多个持续时间。一个或多个持续时间可以不同于用于对分组进行缓冲的配置的定时器的持续时间。接收节点可以向机器学习算法输入一个或多个参数，并且基于所输入的一个或多个参数来获得用于对