5g inter- and intra-network node coordination for power consumption optimization and reduction
AssigneeCisco Technology, Inc.
InventorSukrit Dasgupta
Life of this patent
Estimating the term…
Abstract
Association and mobility patterns corresponding to client devices within a 5G network are tracked in real-time. A machine learning model is trained to identify, based on these patterns, periods of time for powering down one or more 5G nodes within the 5G network. The machine learning model, based on these periods of time, generates a set of power saving profiles that are used to automatically define power saving modes for the one or more 5G nodes. The machine learning model is updated according to changes to the association and mobility patterns resulting from the power saving modes.
Claims20
A computer-implemented method comprising:
- continuously monitoring association patterns corresponding to a set of client devices within a 5G network, wherein the 5G network includes a set of 5G nodes, and wherein the association patterns denote changes to associations between the set of client devices and the set of 5G nodes;
- tracking mobility patterns in the 5G network across the set of 5G nodes and the set of client devices, wherein the mobility patterns are tracked based on the association patterns;
- identifying periods of time for powering down one or more 5G nodes of the set of 5G nodes;
- generating a set of power saving profiles for the set of 5G nodes, wherein the set of power saving profiles are generated using the periods of time, the association patterns and the mobility patterns;
- and
- automatically defining power saving modes for the set of 5G nodes, wherein the power saving modes are implemented according to the set of power saving profiles.
A system, comprising:
- one or more memories storing computer-readable instructions;
- and
- one or more processors configured to execute the computer-readable instructions to:
- continuously monitor association patterns corresponding to a set of client devices within a 5G network, wherein the 5G network includes a set of 5G nodes, and wherein the association patterns denote changes to associations between the set of client devices and the set of 5G nodes;
- track mobility patterns in the 5G network across the set of 5G nodes and the set of client devices, wherein the mobility patterns are tracked based on the association patterns;
- identify periods of time for powering down one or more 5G nodes of the set of 5G nodes;
- generate a set of power saving profiles for the set of 5G nodes, wherein the set of power saving profiles are generated using the periods of time, the association patterns, and the mobility patterns;
- and
- automatically define power saving modes for the set of 5G nodes, wherein the power saving modes are implemented according to the set of power saving profiles.
One or more non-transitory computer-readable media storing computer-readable instructions which, when executed by one or more processors, cause the one or more processors to:
- continuously monitor association patterns corresponding to a set of client devices within a 5G network, wherein the 5G network includes a set of 5G nodes, and wherein the association patterns denote changes to associations between the set of client devices and the set of 5G nodes;
- track mobility patterns in the 5G network across the set of 5G nodes and the set of client devices, wherein the mobility patterns are tracked based on the association patterns;
- identify periods of time for powering down one or more 5G nodes of the set of 5G nodes;
- generate a set of power saving profiles for the set of 5G nodes, wherein the set of power saving profiles are generated using the periods of time, the association patterns, and the mobility patterns;
- and
- automatically define power saving modes for the set of 5G nodes, wherein the power saving modes are implemented according to the set of power saving profiles.
Dependencies are inferred from the claim text.