公开(公告)号：US12120630B2

公开(公告)日：2024-10-15

申请号：US17758107

申请日：2020-11-13

Applicant: ZTE CORPORATION

Inventor： Zhuang Liu ,  Yin Gao ,  Jiajun Chen ,  Dapeng Li

IPC: H04W64/00 ,  H04W24/10

CPC classification number: H04W64/003 ,  H04W24/10

Abstract: Disclosed are a location prediction method and apparatus, a network element, a base station and a non-transitory computer-readable storage medium. The position prediction method may include: receiving, by a location service network element, a Minimization of Drive Tests (MIDT) measurement information message sent by a base station, wherein the location service network element is a separate network element or a network element inside the base station, and the MDT measurement information message carries history location measurement information of at least one user equipment (UE); determining, by the location service network element, predicted location information of the at least one UE for a first time point or a first time period according to the history location measurement information of the at least one UE; and sending, by the location service network element, the predicted location information to the base station.

公开(公告)号：US12231299B2

公开(公告)日：2025-02-18

申请号：US18276243

申请日：2022-06-14

Applicant: ZTE Corporation

Inventor： Jiajun Chen ,  Yin Gao ,  Zhuang Liu ,  Dapeng Li

IPC: G06F15/173 ,  H04L41/14 ,  H04L41/16

Abstract: Disclosed are a network optimization method and apparatus, an electronic device, and a storage medium. The network optimization method may include: sending data analytics request information to a core network; receiving data analytics response information fed back by the core network and determining a model processing result according to an artificial intelligence learning model; and performing a network optimization operation according to the model processing result.

公开(公告)号：US12200550B2

公开(公告)日：2025-01-14

申请号：US17768524

申请日：2020-11-02

Applicant: ZTE Corporation

Inventor： Zhuang Liu ,  Yin Gao ,  Jiren Han ,  Jiajun Chen

IPC: H04W36/00 ,  H04W36/30

Abstract: Provided are a handover method, a handover device, and a network system. The handover method includes: receiving cell information of a second cell sent by a second network element, wherein the second cell is a cell managed by the second network element, and the cell information includes predicted cell load information of the second cell; and sending a handover instruction to a terminal in a case where the cell information satisfies a preset condition, wherein the handover instruction is used for instructing the terminal to perform handover to the second cell, and the case where the cell information satisfies the preset condition at least indicates that the predicted cell load information of the second cell is lower than a configured first threshold.

公开(公告)号：US12170598B2

公开(公告)日：2024-12-17

申请号：US17815697

申请日：2022-07-28

Applicant: ZTE Corporation

Inventor： Yin Gao ,  Jiajun Chen ,  Zhuang Liu

IPC: H04L41/16 ,  H04L41/14 ,  H04W24/02

Abstract: This patent document describes, among other things, techniques, and apparatuses for providing artificial intelligence to improve wireless network efficiency and performance. In one aspect, a method of wireless communication is disclosed. The method includes transmitting, from a first network node to a second network node, a first network control message requesting to start an artificial intelligence process comprising an artificial intelligence objective or an identification code. The method further includes receiving, at the first network node from the second network node, a first reply message indicating at least one of the artificial intelligence process has started, the identifier, a request indicator for a model for the artificial intelligence process, or a failure message.

公开(公告)号：US20240121161A1

公开(公告)日：2024-04-11

申请号：US18276243

申请日：2022-06-14

Applicant: ZTE Corporation

Inventor： Jiajun Chen ,  Yin Gao ,  Zhuang Liu ,  Dapeng Li

IPC: H04L41/14 ,  H04L41/16

CPC classification number: H04L41/14 ,  H04L41/16

Abstract: Disclosed are a network optimization method and apparatus, an electronic device, and a storage medium. The network optimization method may include: sending data analytics request information to a core network; receiving data analytics response information fed back by the core network and determining a model processing result according to an artificial intelligence learning model; and performing a network optimization operation according to the model processing result.