The invention discloses a depth
data processing device and method for a
base station, and belongs to the technical field of telecommunication. According to the invention, a deep
data processing device for
deep learning and
processing signaling control messages, IMS protocol messages and
data messages is deployed between a
base station and a UPF / SGW / SGW /
core network, so that the
mobility management capability and IMS conversation capability of mobile communication are kept; a
management plane component sets formats of
data messages transmitted by interfaces in a control plane component and presets a
global configuration table and a distribution table which are used for loading transparent transmission and local forwarding
processing information, the control plane component deeply learns messages and generates a forwarding table, and a
forwarding plane component is used for realizing local
processing and extremely-low-
delay forwarding of GTP messages on a
base station side. The access of more mobile terminals is realized within the limited base
station spectrum bandwidth, and the access to a local network or a base
station operator network is realized with lower
delay, so that the local access quality of the mobile terminals is greatly improved, the spectrum
utilization rate of the base
station is greatly improved, and the mobile network is promoted to reach carbon
neutralization and carbon peak-reaching indexes.