Detecting Community in Radio Access Networks with a Plurality of Vertices

Patent №

US 11,432,166

Granted

2022-08-30

Filed 2020

Owner

TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16636658

The present invention refers to a method and apparatus and computer program for detecting communities in a radio access network with a plurality of vertices (C, BBU), wherein the method comprises calculating (S11) relationship strengths (31, 41) for network connections between the vertices (C, BBU) by executing a connection strength calculation process by analyzing performance factors, decisive for network performance including cell coverage overlap, signal strength, and inter-cell interference. The method further creates (S12) a network graph with nodes, representing the vertices (C,BBU) in the network and edges, representing the network connections based on the calculated relationship strengths (31, 41) and applies (S13) an extended iterative disjoint community detection algorithm for clustering nodes into communities, wherein in each iteration imposed one or more constraints for clustering cooperating nodes into the same community are analyzed (S14).

Machine learningH04W 24/02H04W 16/18H04W 24/10H04W 28/0268H04W 40/248

AI classification

Machine learning0.71
Knowledge representation0.11
AI hardware0.07
Vision0.01
Evolutionary computation0.01
Planning0.00
Natural language0.00
Speech0.00

Ownership

TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

assignment · 517200729

Assignors

ENG, CHIN LAM, FRANK, PHILIPP, HO, MITCHELL, NG, CHEE WAI

On an employer assignment, the assignors are typically the inventors.

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