Search

US-12628112-B2 - Positioning requests with reference signals configuration

US12628112B2US 12628112 B2US12628112 B2US 12628112B2US-12628112-B2

Abstract

Examples of the disclosure relate to an apparatus including: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform: receiving one or more reference signals; determining one or more metrics from the one or more received reference signals; generating an input for a mapping model based on the one or more metrics; and providing the input to the mapping model to enable the mapping model to create a list of a plurality of configurations for signals that enable positioning that could be undertaken by a network, based on the generated input, wherein the configurations include one or more parameters for signals that enable positioning.

Inventors

  • Oana-Elena BARBU
  • Osman Nuri Can Yilmaz
  • Diomidis Michalopoulos

Assignees

  • NOKIA TECHNOLOGIES OY

Dates

Publication Date
20260512
Application Date
20210730

Claims (20)

  1. 1 . An apparatus, comprising: at least one processor; and at least one non-transitory memory, storing instructions that, when executed with the at least one processor, cause the apparatus at least to perform: receiving one or more reference signals; determining one or more metrics from the one or more received reference signals; generating an input for a mapping model based on the one or more metrics; and providing the input to the mapping model to enable the mapping model to create a list of a plurality of configurations for signals that enable positioning that could be undertaken with a network, based on the generated input, wherein the configurations comprise one or more parameters for signals that enable positioning.
  2. 2 . An apparatus as claimed in claim 1 wherein the configurations for signals that enable positioning comprise one or more of: a comb size, a bandwidth size, a repetition pattern, a periodicity, a duration of positioning reference signal occasion, a time, or frequency offset.
  3. 3 . An apparatus as claimed in claim 1 wherein the configurations for signals that enable positioning comprise positioning reference signal configurations.
  4. 4 . An apparatus as claimed in claim 1 wherein the one or more metrics are determined for a plurality of channels between the apparatus and the network.
  5. 5 . An apparatus as claimed in claim 1 wherein historical uses of the plurality of configurations with at least one of the network or the apparatus are taken into account with the mapping model when the list of a plurality of configurations for signals that enable positioning is created.
  6. 6 . An apparatus as claimed in claim 1 wherein the instructions, when executed with the at least one processor, cause the apparatus to perform receiving metrics from one or more other apparatus and providing the received metrics as an input to the mapping model.
  7. 7 . An apparatus as claimed in claim 1 wherein the instructions, when executed with the at least one processor, cause the apparatus to perform transmitting metrics to one or more other apparatus and to enable the one or more other apparatus to use the received metrics as an input to a mapping model.
  8. 8 . An apparatus as claimed in claim 1 wherein the instructions, when executed with the at least one processor, cause the apparatus to generate an order of preference for the plurality of configurations for signals that enable positioning.
  9. 9 . An apparatus as claimed in claim 1 wherein the instructions, when executed with the at least one processor, cause the apparatus to perform transmitting one or more requests to the network indicating at least some of the plurality of configurations for signals that enable positioning that could be undertaken with a network as identified in the list created with the mapping model.
  10. 10 . An apparatus as claimed in claim 9 wherein the one or more requests comprise a reason for the plurality of configurations included in the request.
  11. 11 . An apparatus as claimed in claim 1 wherein the mapping model comprises at least one of a machine learning model or a decision tree.
  12. 12 . An apparatus as claimed in claim 1 wherein the instructions, when executed with the at least one processor, cause the apparatus to obtain information indicative of the plurality of configurations for signals that enable positioning that can be undertaken with the network from at least one of: a node apparatus or a network apparatus.
  13. 13 . An apparatus as claimed in claim 1 wherein the apparatus is a user equipment.
  14. 14 . A method, comprising: receiving one or more reference signals; determining one or more metrics from the one or more received reference signals; generating an input for a mapping model based on the one or more metrics; and providing the input to the mapping model to enable the mapping model to create a list of a plurality of configurations for signals that enable positioning that could be undertaken with a network, based on the generated input wherein the configurations comprise one or more parameters for signals that enable positioning.
  15. 15 . A method as claimed in claim 14 wherein the configurations for signals that enable positioning comprise one or more of: a comb size, a bandwidth size, a repetition pattern, a periodicity, a duration of positioning reference signal occasion, a time, or frequency offset.
  16. 16 . A method as claimed in claim 14 wherein the configurations for signals that enable positioning comprise positioning reference signal configurations.
  17. 17 . A non-transitory program storage device readable with an apparatus, tangibly embodying a program of instructions executable with the apparatus for performing at least the following: receiving one or more reference signals; determining one or more metrics from the one or more received reference signals; generating an input for a mapping model based on the one or more metrics; and providing the input to the mapping model to enable the mapping model to create a list of a plurality of configurations for signals that enable positioning that could be undertaken with a network, based on the generated input, wherein the configurations comprise one or more parameters for signals that enable positioning.
  18. 18 . A non-transitory program storage device as claimed in claim 17 wherein the configurations for signals that enable positioning comprise one or more of: a comb size, a bandwidth size, a repetition pattern, a periodicity, a duration of positioning reference signal occasion, a time, or frequency offset.
  19. 19 . A non-transitory program storage device as claimed in claim 17 wherein the configurations for signals that enable positioning comprise positioning referenced signal configurations.
  20. 20 . A method as claimed in claim 14 wherein the one or more metrics are determined for a plurality of channels between an apparatus and the network.

Description

CROSS REFERENCE TO RELATED APPLICATION This patent application is a U.S. National Stage application of International Patent Application Number PCT/EP2021/071462 filed Jul. 30, 2021, which is hereby incorporated by reference in its entirety. TECHNOLOGICAL FIELD Examples of the disclosure relate to positioning requests. Some examples of the disclosure relate to User Equipment (UE) initiated positioning requests in New Radio (NR) networks. BACKGROUND In radio communications networks such as NR networks UEs can initiate positioning requests. Examples of this disclosure provide for management of these requests. BRIEF SUMMARY According to various, but not necessarily all, examples of the disclosure there is provided an apparatus comprising: at least one processor; andat least one memory including computer program code,the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform:receiving one or more reference signals;determining one or more metrics from the one or more received reference signals;generating an input for a mapping model based on the one or more metrics; andproviding the input to the mapping model to enable the mapping model to create a list of a plurality of configurations for signals that enable positioning that could be undertaken by a network, based on the generated input, wherein the configurations comprise one or more parameters for signals that enable positioning. The configurations for signals that enable positioning may comprise one or more of: a comb size, a bandwidth size, a repetition pattern, a periodicity, a duration of positioning reference signal occasion, a time and frequency offset. The configurations for signals that enable positioning may comprise Positioning Reference Signal (PRS) configurations. The one or more metrics may be determined for a plurality of channels between the apparatus and the network. Historical uses of the plurality of configurations by the network and/or the apparatus may be taken into account by the mapping model when the list of a plurality of configurations for signals that enable positioning is created. The at least one memory and the at least one computer program may be configured to cause the apparatus to perform; receiving metrics from one or more other apparatus and providing the received metrics as an input to the mapping model. The at least one memory and the at least one computer program may be configured to cause the apparatus to perform; transmitting metrics to one or more other apparatus and to enable the one or more other apparatus to use the received metrics as an input to a mapping model. The mapping model may generate an order of preference for the plurality of configurations for signals that enable positioning. The at least one memory and the at least one computer program may be configured to cause the apparatus to perform; transmitting one or more requests to the network indicating at least some of the plurality of configurations for signals that enable positioning that could be undertaken by a network as identified in the list created by the mapping model. The requests may comprise a reason for each of the plurality of configurations included in the request. The mapping model may comprise at least one of; a machine learning model, a decision tree. The apparatus may obtain information indicative of the plurality of configurations for signals that enable positioning that can be undertaken by the network from at least one of: a node apparatus, a network apparatus. The apparatus may comprise a UE. According to various, but not necessarily all, examples of the disclosure there is provided a method comprising: receiving one or more reference signals;determining one or more metrics from the one or more received reference signals;generating an input for a mapping model based on the one or more metrics; andproviding the input to the mapping model to enable the mapping model to create a list of a plurality of configurations for signals that enable positioning that could be undertaken by a network, based on the generated input wherein the configurations comprise one or more parameters for signals that enable positioning. The configurations for signals that enable positioning may comprise one or more of: a comb size, a bandwidth size, a repetition pattern, a periodicity, a duration of positioning reference signal occasion, a time and frequency offset. The configurations for signals that enable positioning may comprise Positioning Reference Signal (PRS) configurations. According to various, but not necessarily all, examples of the disclosure there is provided a computer program comprising computer program instructions that, when executed by processing circuitry, cause: receiving one or more reference signals;determining one or more metrics from the one or more received reference signals;generating an input for a mapping model based on the one or more metrics; andprovidin