Adjusting power consumption in a telecommunications network based on traffic prediction

Patent metadata

Field	Value
Publication number	US-12574841-B2
Application number	US-202017920178-A
Country	US
Kind code	B2
Filing date	May 28, 2020
Priority date	May 28, 2020
Publication date	Mar 10, 2026
Grant date	Mar 10, 2026

Abstract

A method of operating a radio network node to adjust power consumption of a telecommunications network is provided. The method includes determining a traffic prediction representing how each node of a set of nodes will interact with the radio network node over a period of time using a combined traffic model based on a traffic model of each node in the set of nodes. The method further includes determining to enable or disable at least one power related feature of the radio network node based on the traffic prediction.

First claim

The invention claimed is:

1 . A method of operating a radio network node to adjust power consumption of a telecommunications network, the method comprising:
determining a traffic prediction representing how each node of a set of nodes will interact with the radio network node over a period of time using a combined traffic model based on a traffic model of each node in the set of nodes, wherein the set of nodes comprises a portion of communication devices within a coverage area of the radio network node, and wherein determining the traffic prediction comprises formulating patterns that include one or more periods of inactivity of each node in the set of nodes and expected traffic at the radio network node; and determining to enable or disable at least one power related feature of the radio network node based on the traffic prediction.

2 . The method of claim 1 , further comprising:
determining that a portion of the traffic prediction associated with a communication device is more than a threshold value different than an output of a traffic model generated by the communication device of the set of nodes; and responsive to determining that the traffic prediction is more than a threshold value different than the output of the traffic model associated with the communication device, transmitting a retrain message to the communication device requesting the communication device retrain the traffic model associated with the communication device.

3 . The method of claim 1 , wherein the at least one power related feature comprises at least one of:
a discontinuous reception; a reduction in transmission power; and a reduction in reception power.

4 . The method of claim 1 , wherein the traffic model comprises a machine learning model,
wherein determining the traffic prediction comprises determining the traffic prediction from the machine learning model based on an input to the machine learning model, and wherein the input comprises one or more of:
a location of each node in the set of nodes;
a distance of each node in the set of nodes from the radio network node;
a measured reference signal received power (RSRP);
a measured reference signal received quality (RSRQ);
a measured amount of bits per a time unit sent or received by each node in the set of nodes; or
a signal to noise ratio (SNR).

5 . The method of claim 1 , wherein determining the traffic prediction comprises generating the combined traffic model by averaging the traffic models of each node.

6 . The method of claim 1 , further comprising:
determining the set of nodes based on the communication devices that most often connect to the radio network node; transmitting a request message to each node of the set of nodes, each request message requesting the traffic model be generated and provided to the radio network node; responsive to transmitting the request message to each node of the set of nodes, receiving a response message from each node of the set of nodes, each response message including the traffic model; and responsive to receiving the response message from each node of the set of nodes, generating the combined traffic model based on the traffic model from each node of the set of nodes, wherein the request message comprises an indication of a type of the traffic model, an indication of at least one communication feature to be measured and modeled, and/or an amount of resources to be allocated by each node of the set of nodes to train the traffic model.

7 . The method of claim 6 , wherein the request message comprises an indication that each communication device in the set of nodes determines its power class and generates the traffic model based on the power class.

8 . The method of claim 6 , wherein the request message comprises the amount of resources to be allocated by each communication device in the set of nodes to train the traffic model, which includes at least one of: an amount of time to generate the traffic model; an amount of resources to use to generate the traffic model; and a threshold battery level at which to stop generating the traffic model.

9 . The method of claim 1 , wherein determining to enable or disable comprises determining to change a state of the radio network node based on comparing an output of the combined traffic model to a predetermined threshold value, the method further comprising:
responsive to determining to enable or disable, causing the state of the radio network node to transition between an active state and a sleep state.

10 . The method of claim 1 , wherein the radio network node is a next generation base station (gNB) and the telecommunications network is a new radio (NR) network.

11 . The method of claim 1 , wherein the set of nodes further comprises a portion of neighboring radio network nodes of the radio network node, the method further comprising:
determining the set of nodes based on the neighboring radio network nodes that most often perform handovers with the radio network node, wherein a request message transmitted to each neighboring radio network node of the set of nodes comprises an indication of a type of the traffic model and/or an indication that the traffic model predicts uplink and/or downlink traffic at the radio network node originating from the neighboring radio network nodes.

12 . A radio network node in a telecommunications network, the radio network node comprising:
processing circuitry; and memory coupled with the processing circuitry, wherein the memory includes instructions that when executed by the processing circuitry causes the radio network node to perform operations to adjust power consumption of the telecommunications network, the operations comprising:
determining a traffic prediction representing how each node of a set of nodes will interact with the radio network node over a period of time using a combined traffic model based on a traffic model of each node in the set of nodes, wherein the set of nodes comprises a portion of communication devices within a coverage area of the radio network node, and wherein determining the traffic prediction comprises formulating patterns that include one or more periods of inactivity of each node in the set of nodes and expected traffic at the radio network node; and
determining to enable or disable at least one power related feature of the radio network node based on the traffic prediction.

13 . The radio network node of claim 12 ,
wherein the at least one power related feature comprises at least one of:
a discontinuous reception;
a reduction in transmission power; and
a reduction in reception power,
wherein the traffic model comprises a machine learning model, wherein determining the traffic prediction comprises determining the traffic prediction from the machine learning model based on an input to the machine learning model, and wherein the input comprises one or more of:
a location of each node in the set of nodes;
a distance of each node in the set of nodes from the radio network node;
a measured reference signal received power (RSRP);
a measured reference signal received quality (RSRQ);
a measured amount of bits per a time unit sent or received by each node in the set of nodes; or
a signal to noise ratio (SNR).

14 . A method of operating a communication device in a telecommunication network to adjust power consumption of the telecommunications network, the method comprising:
receiving, a request message from a radio network node operating in the telecommunication network, the request message requesting the communication device generate and provide a traffic model to the radio network

Assignees

• Ericsson Telefon Ab L M

Inventors

• Vandikas Konstantinos
• Eleftheriadis Lackis
• Nikou Alexandros
• Jin Yifei
• Fikouras Ioannis

Classifications

• H04W24/02

  Arrangements for optimising operational condition · CPC title

• Y02D30/70

  in wireless communication networks · CPC title

• H04W28/0221

  power availability or consumption · CPC title

• H04W16/22

  Traffic simulation tools or models · CPC title

• H04W52/0206 Primary

  in access points, e.g. base stations · CPC title