公开(公告)号：US10939309B2

公开(公告)日：2021-03-02

申请号：US16697844

申请日：2019-11-27

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Mugen Peng ,  Yangcheng Zhou ,  Shi Yan

IPC: H04W24/02 ,  H04W36/00 ,  H04W36/18 ,  H04W72/08 ,  H04W88/10

Abstract: The present application discloses an intent-driven radio access networking method, including: determining an intent, and performing a slice setting for a slice according to a type of the intent and network performance requirements indicated by the intent; determining an instantiation priority for each slice setting; performing performance evaluation for each existing slice within a network range indicated by the intent, and determining global configuration of each existing slice; after a new slice is added to the current network, configuring a networking mode and network multimode resources for the new slice according to the instantiation priority of the slice setting corresponding to the new slice.

公开(公告)号：US20240155356A1

公开(公告)日：2024-05-09

申请号：US18407288

申请日：2024-01-08

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Shi Yan ,  Shenhu Zhang ,  Xiqing Liu ,  Bin Cao ,  Mugen Peng

IPC: H04W16/10 ,  H04B17/26 ,  H04B17/29

CPC classification number: H04W16/10 ,  H04B17/26 ,  H04B17/29

Abstract: Disclosed are a resolution method for intent-based wireless network resource conflicts and an apparatus thereof. The method includes the following steps: periodically acquiring configured resource information about a current wireless network; pre-allocating resources required for a newly-added intent; and determining whether a pre-allocated resource configuration policy is incompatible with a resource configuration policy being executed in a current network. The apparatus includes: an interface module; a solution module; a feedback module; and a storage module. Through the relative priority of intent requirements, a bias of an implementation satisfaction degree of a network configuration policy is determined, and network resource conflicts of intent requirements with different priorities are solved.

公开(公告)号：US11201784B2

公开(公告)日：2021-12-14

申请号：US16718457

申请日：2019-12-18

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Mugen Peng ,  Hongyu Xiang ,  Shi Yan

IPC: H04L12/24 ,  H04W24/10 ,  H04W40/24 ,  G06N20/00

Abstract: An artificial intelligence-based networking method for fog radio access networks, which includes: a central computing logic module receives reported data which includes measurement report data from user terminals, wireless transmission data from base stations, and operation and maintenance data from a radio access network. Based on these reported data and proper machine learning algorithms, the central computing logic module configures an operating mode of a radio access network that matches user behavior, service attributes, and radio access network performance indicators. According to the operating mode, an edge computing logic module determines whether to optimize a current configuration of an edge communication entity and allocation of radio resources, computing resources, and caching resources. With proper machine learning algorithms, the proposed networking method meets various service requirements. By configuring the radio access network flexibly, the method enables the radio access network to adapt to different application scenarios and performance objectives.