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US 11,902,806 B2Granted
Machine learning based antenna panel switching
AssigneeNokia Technologies Oy
InventorsKlaus Ingemann Pedersen, István Zsolt Kovács, Ali Esswie
Life of this patent
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Abstract
Disclosed is a method comprising using a machine learning algorithm to select an antenna panel from a plurality of antenna panels. A first long-term reward value associated with the selected antenna panel is determined based at least partly on one or more first signals received on the selected antenna panel. A second signal is then transmitted or received via the selected antenna panel, if the first long-term reward value exceeds one or more second long-term reward values associated with at least a subset of the plurality of antenna panels.
Claims20
An apparatus, comprising:
- at least one processor;
- and
- at least one memory including computer program code, wherein the at least one memory and the computer program code are configured, with the at least one processor, to cause the apparatus to:
- use a machine learning algorithm to select an antenna panel from a plurality of antenna panels;
- determine a first long-term reward value associated with the selected antenna panel based at least partly on one or more first signals received on the selected antenna panel, wherein the first long-term reward value is an average or a sum of consecutive immediate reward values over a first time window, wherein the consecutive immediate reward values are based at least partly on a plurality of key performance indicators comprising at least a serving cell quality metric and a beam failure rate;
- transmit or receive a second signal via the selected antenna panel, if the first long-term reward value exceeds one or more second long-term reward values associated with at least a subset of the plurality of antenna panels.
3 more elements
A system, comprising:
- a terminal device;
- and
- a base station;
- wherein the terminal device is configured to:
- use a machine learning algorithm to select an antenna panel from a plurality of antenna panels;
- receive one or more first signals from the base station via the selected antenna panel;
- determine a first long-term reward value associated with the selected antenna panel based at least partly on the one or more first signals received on the selected antenna panel, wherein the first long-term reward value is an average or a sum of consecutive immediate reward values over a first time window, wherein the consecutive immediate reward values are based at least partly on a plurality of key performance indicators comprising at least a serving cell quality metric and a beam failure rate;
- transmit or receive a second signal via the selected antenna panel, if the first long-term reward value exceeds one or more second long-term reward values associated with at least a subset of the plurality of antenna panels;
- and wherein the base station is configured to:
- transmit the one or more first signals to the terminal device;
- receive or transmit the second signal from or to the terminal device.
8 more elements
A method, comprising:
- using a machine learning algorithm to select an antenna panel from a plurality of antenna panels;
- determining a first long-term reward value associated with the selected antenna panel based at least partly on one or more first signals received on the selected antenna panel, wherein the first long-term reward value is an average or a sum of consecutive immediate reward values over a first time window, wherein the consecutive immediate reward values are based at least partly on a plurality of key performance indicators comprising at least a serving cell quality metric and a beam failure rate;
- transmitting or receiving a second signal via the selected antenna panel, if the first long-term reward value exceeds one or more second long-term reward values associated with at least a subset of the plurality of antenna panels.
Dependencies are inferred from the claim text.