US 2023/0403606 A1 · MANAGING RESOURCES IN A RADIO ACCESS NETWORK

Abstract

A computer implemented method for managing resources in a RAN of a communication network is disclosed. The method, performed by a first node in the RAN, comprises obtaining a record of resource status information describing usage, during a historical time period and within a coverage area of the first node, of RAN resources controlled by the first node (2102), and using an ML process to predict, based on the obtained record, resource status information describing usage of RAN resources controlled by the first node within a coverage area of the first node and during a future time period (2104). The method further comprises sending, to a second node in the RAN, a representation of the predicted resource status information (2106). Also disclosed is a method performed by a second node in which the second node uses a received representation of predicted resource status information for RAN resources controlled by a first node in a process relating to management of RAN resources controlled by the second node (2304).

Claims20

Dependent claims

1-55. (canceled)

A computer implemented method for managing resources in a Radio Access Network, RAN, of a communication network, the method, performed by a first node in the RAN, comprising:

obtaining a record of resource status information describing usage, during a historical time period and within a coverage area of the first node, of RAN resources controlled by the first node;
using a Machine Learning, ML, process to predict, based on the obtained record, resource status information describing usage of RAN resources controlled by the first node within a coverage area of the first node and during a future time period;
and
sending, to a second node in the RAN, a representation of the predicted resource status information.

1 more element

A computer implemented method for managing resources in a Radio Access Network, RAN, of a communication network, the method, performed by a second node in the RAN, comprising:

receiving, from a first node in the RAN, a representation of predicted resource status information describing usage of RAN resources controlled by the first node within a coverage area of the first node and during a future time period;
and
using the received representation of predicted resource status information for RAN resources controlled by the first node in a process relating to management of RAN resources controlled by the second node.

A first node in a communication network comprising a Radio Access Network, RAN, the first node being configured to manage resources in the Radio Access Network, RAN, whereby the first node being configured to:

a. obtain a record of resource status information describing usage, during a historical time period and within a coverage area of the first node, of RAN resources controlled by the first node;
b. use a Machine Learning, ML, process to predict, based on the obtained record, resource status information describing usage of RAN resources controlled by the first node within a coverage area of the first node and during a future time period;
and
c. send, to a second node in the RAN, a representation of the predicted resource status information.

1 more element

A second node in a communication network comprising a Radio Access Network, RAN, the second node being configured to manage resources in the Radio Access Network, RAN, whereby the second node being configured to:

a. receive, from a first node in the RAN, a representation of predicted resource status information describing usage of RAN resources controlled by the first node within a coverage area of the first node and during a future time period;
and
b. use the received representation of predicted resource status information for RAN resources controlled by the first node in a process relating to management of RAN resources controlled by the second node.

Dependencies are inferred from the claim text.

Facts

Application

18/033,060Filed 18 Oct 2021

Priority

21 Oct 2020

Published

14 Dec 2023

Term ends

Not estimatedThe source records don’t support an estimate.

Classification10 codes

H04W 28/16
Network traffic management; Network resource management: central resource management; Negotiation of resources or communication parameters, e.g.…
G06N 3/0442
Recurrent networks, e.g. Hopfield networks: characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
G06N 3/08
Neural networks: learning methods
H04W 24/02
Supervisory, monitoring or testing arrangements: arrangements for optimising operational condition

Managing resources in a radio access network

Life of this patent

Managing resources in a radio access network

Life of this patent

Abstract

Claims20