Enhanced data collection for positioning

Abstract

According to an example aspect of the present disclosure, there is provided a method, comprising determining at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and transmitting, to a network node, information indicating the at least one determined data collection category.

Description

ENHANCED DATA COLLECTION FOR POSITIONINGFIELD

[0001] Various example embodiments relate in general to data collection and more specifically, to data collection for positioning, for example in cellular communication networks.BACKGROUND

[0002] In case of cellular communication networks, User Equipment, UE, positioning may refer to determining a geographic position and / or speed of at least one UE. Positioning may be exploited in various cellular communication networks, such as, in cellular communication networks operating according to 5G radio access technology. 5G radio access technology may also be referred to as New Radio, NR, access technology. 3rd Generation Partnership Project, 3GPP, develops standards for 5G / NR and for future radio access technologies, and there is a need to provide enhanced data collection for positioning.SUMMARY

[0003] According to some aspects, there is provided the subject-matter of the independent claims. Some example embodiments are defined in the dependent claims.

[0004] The scope of protection sought for various example embodiments of the disclosure is set out by the independent claims. The example embodiments and features, if any, described in this specification that do not fall under the scope of the independent claims are to be interpreted as examples useful for understanding various example embodiments of the disclosure.

[0005] According to an aspect of the present disclosure, there is provided an apparatus comprising at least one processing core and at least one memory storing instructions that, when executed by the at least one processing core, cause the apparatus at least to determine at least one data collection category from multiple data collection categories, wherein each of saidmultiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and transmit, to a network node, information indicating the at least one determined data collection category. The apparatus may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein. Example embodiments of the aspect may comprise at least one feature from the following bulleted list or any combination of the following features:• wherein said multiple data collection categories comprise a first data collection category further comprising radio measurements without optional measurements and at least one second data collection category further comprising said radio measurements with said optional measurements;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to transmit an indication to the network node, the indication indicating which measurements associated with said multiple data collection categories are supported by the apparatus for collecting data for positioning of the UE;• wherein the at least one second data collection category comprises at least one of an area identifier, a cell identifier, a transmission and reception point, TRP, identifier, a beam identifier, global cell identifier, positioning reference signal identifiers of candidate TRPs for measurements or downlink resource positioning reference signal identifier;• wherein each of said multiple data collection categories comprises at least mandatory measurements;• wherein the apparatus is the UE or a wireless network node;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to receive at least one data category flag from the network node, wherein each of the at least one data category flag is associated with a different type of data to be collected and indicates whether collection of the corresponding type of data is mandatory or optional;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to receive from the network node, in response to transmitting said information indicating the at least one determined data collection category, confirmation about which of the at least one determineddata category is to be used by the apparatus for collecting data for positioning of the UE;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to collect data in accordance with said confirmation about which of the at least one determined data category is to be used for collecting data for positioning of the UE;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to perform at least one of training, monitoring or inference of a machine learning model for positioning of the UE based on said collected data;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to determine mandatory and optional measurements based on at least one rule, wherein the at least one rule is related to non-line-of- sight, NLOS, conditions.

[0006] According to an aspect of the present disclosure, there is provided an apparatus comprising at least one processing core and at least one memory storing instructions that, when executed by the at least one processing core, cause the apparatus at least to receive, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node and determine which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE. The apparatus may be a wireless network node or a core network node, or a control device configured to control the functioning thereof, when installed therein. Example embodiments of the aspect may comprise at least one feature from the following bulleted list or any combination of the following features:• wherein the at least one processing core and the at least one memory further cause the apparatus at least to receive an indication from said another apparatus, the indication indicating which measurements associated with said multiple data collection categories are supported by said another apparatus for collecting data for positioning of the UE and determine, based at least one the indication indicating the measurements which are supported by said another apparatus for collecting data for positioning of the UE, whichof the at least one determined data category is to be used by said another apparatus for collecting data for positioning of the UE;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to transmit at least one data category flag to said another apparatus, wherein each of the at least one data category flag is associated with a different type of data to be collected and indicates whether collection of the corresponding type of data is mandatory or optional;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to perform at least one of transmit to said another apparatus, in response to receiving said information indicating the at least one determined data collection category, confirmation about which of the at least one determined data category is to be used by said another apparatus for collecting data for positioning of the UE or transmit, to a positioning reference unit, a request for collecting data for positioning of the UE.

[0007] According to an aspect of the present disclosure, there is provided an apparatus comprising at least one processing core and at least one memory storing instructions that, when executed by the at least one processing core, cause the apparatus at least to determine which measurements associated with multiple data collection categories are supported by the apparatus for collecting data for positioning of a User Equipment, UE, and transmit an indication to a network node, the indication indicating the measurements which are supported by the apparatus for collecting data for positioning of the UE, wherein the apparatus is the UE or a wireless network node. The apparatus may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein. Example embodiments of the aspect may comprise at least one feature from the following bulleted list or any combination of the following features:• wherein at least one second data collection category of said multiple data collection categories comprises at least one of an area identifier, a cell identifier, a transmission and reception point, TRP, identifier, a beam identifier, global cell identifier, positioning reference signal identifiers of candidate TRPs for measurements or downlink resource positioning reference signal identifier;• wherein each of said multiple data collection categories comprises at least mandatory measurements;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to determine at least one data collection category from said multiple data collection categories and transmit, to the network node, information indicating the at least one determined data collection category;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to receive from the network node, in response to transmitting said information indicating the at least one determined data collection category, confirmation about which of the at least one determined data category is to be used for collecting data for positioning of the UE;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to collect data in accordance with said confirmation about which of the at least one determined data category is to be used for collecting data for positioning of the UE;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to transmit to the network node, the indication indicating the measurements which are supported by the apparatus for collecting data for positioning of the UE, in a capability report;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to receive at least one data category flag from the network node, wherein each of the at least one data category flag is associated with a different type of data to be collected and indicates whether collection of the corresponding type of data is mandatory or optional;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to perform at least one of training, monitoring or inference of a machine learning model for positioning of the UE based on said collected data;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to determine mandatory and optional measurements based on at least one rule, wherein the at least one rule is related to non-line-of- sight, NLOS, conditions.

[0008] According to an aspect of the present disclosure, there is provided an apparatus comprising at least one processing core and at least one memory storing instructions that, when executed by the at least one processing core, cause the apparatus at least to receive, fromanother apparatus, an indication indicating which measurements associated with multiple data collection categories are supported by said another apparatus for collecting data for positioning of a user equipment, UE, and determine, based at least on the received indication, at least one data collection category of said multiple data collection categories for said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of the UE. The apparatus may be a wireless network node or a core network node, or a control device configured to control the functioning thereof, when installed therein. Example embodiments of the aspect may comprise at least one feature from the following bulleted list or any combination of the following features:• wherein the at least one processing core and the at least one memory further cause the apparatus at least to receive, from said another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus and determine which of the at least one determined data category is to be used by said another apparatus for collecting data for positioning of the UE;• wherein the at least one processing core and the at least one memory further cause the apparatus at least to perform at least one of transmit to said another apparatus, in response to receiving said information indicating the at least one determined data collection category, confirmation about which of the at least one determined data category is to be used for collecting data for positioning of the UE or transmit, to a positioning reference unit, a request for collecting data for positioning of the UE.• wherein the at least one processing core and the at least one memory further cause the apparatus at least to transmit, to said another apparatus, a configuration about the at least one data collection category of multiple data collection categories for said another apparatus;• wherein the configuration comprises at least one data category flag, wherein each of the at least one data category flag is associated with a different type of data to be collected and indicates whether collection of the corresponding type of data is mandatory or optional.

[0009] According to an aspect, there is provided a method comprising, determining at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, andtransmitting, to a network node, information indicating the at least one determined data collection category. The method may be performed by a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0010] According to an aspect, there is provided a method comprising, receiving, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node and determining which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE. The method may be performed by a wireless network node or a core network node, or a control device configured to control the functioning thereof, when installed therein.

[0011] According to an aspect, there is provided a method comprising, determining which measurements associated with multiple data collection categories are supported by the apparatus for collecting data for positioning of a User Equipment, UE, and transmitting an indication to a network node, the indication indicating the measurements which are supported by the apparatus for collecting data for positioning of the UE, wherein the apparatus is the UE or a wireless network node. The method may be performed by a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0012] According to an aspect, there is provided a method comprising, receiving, from another apparatus, an indication indicating which measurements associated with multiple data collection categories are supported by said another apparatus for collecting data for positioning of a user equipment, UE, and determining, based at least on the received indication, at least one data collection category of said multiple data collection categories for said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of the UE. The method may be performed by a wireless network node or a core network node, or a control device configured to control the functioning thereof, when installed therein.

[0013] According to an aspect of the present disclosure, there is provided an apparatus comprising means for determining at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and means for transmitting, to a network node, information indicating the at least one determined data collection category. The apparatus of the aspect may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0014] According to an aspect of the present disclosure, there is provided an apparatus comprising means for receiving, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node and means for determining which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE. The apparatus of the aspect may be a wireless network node or a core network node, or a control device configured to control the functioning thereof, when installed therein.

[0015] According to an aspect of the present disclosure, there is provided an apparatus comprising means for determining which measurements associated with multiple data collection categories are supported by the apparatus for collecting data for positioning of a User Equipment, UE, and means for transmitting an indication to a network node, the indication indicating the measurements which are supported by the apparatus for collecting data for positioning of the UE, wherein the apparatus is the UE or a wireless network node. The apparatus of the aspect may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0016] According to an aspect of the present disclosure, there is provided an apparatus comprising means for receiving, from another apparatus, an indication indicating which measurements associated with multiple data collection categories are supported by said another apparatus for collecting data for positioning of a user equipment, UE, and means for determining, based at least on the received indication, at least one data collection category of said multiple data collection categories for said another apparatus, wherein each of saidmultiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of the UE. The apparatus of the aspect may be a wireless network node or a core network node, or a control device configured to control the functioning thereof, when installed therein.

[0017] According to an aspect of the present disclosure, there is provided a computer program comprising instructions which, when the program is executed by an apparatus, cause the apparatus to carry out determining at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and transmitting, to a network node, information indicating the at least one determined data collection category. The apparatus of the aspect may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0018] According to an aspect of the present disclosure, there is provided a computer program comprising instructions which, when the program is executed by an apparatus, cause the apparatus to carry out receiving, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node and determining which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE. The apparatus of the aspect may be a wireless network node or a core network node, or a control device configured to control the functioning thereof, when installed therein.

[0019] According to an aspect of the present disclosure, there is provided a computer program comprising instructions which, when the program is executed by an apparatus, cause the apparatus to carry out determining which measurements associated with multiple data collection categories are supported by the apparatus for collecting data for positioning of a User Equipment, UE, and transmitting an indication to a network node, the indication indicating the measurements which are supported by the apparatus for collecting data for positioning of the UE, wherein the apparatus is the UE or a wireless network node. The apparatus of the aspectmay be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0020] According to an aspect of the present disclosure, there is provided a computer program comprising instructions which, when the program is executed by an apparatus, cause the apparatus to carry out receiving, from another apparatus, an indication indicating which measurements associated with multiple data collection categories are supported by said another apparatus for collecting data for positioning of a user equipment, UE, and determining, based at least on the received indication, at least one data collection category of said multiple data collection categories for said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of the UE. The apparatus of the aspect may be a wireless network node or a core network node, or a control device configured to control the functioning thereof, when installed therein.

[0021] According to an aspect of the present disclosure, there is provided a non- transitory computer readable medium having stored thereon a set of computer readable instructions that, when executed by at least one processor, cause an apparatus to at least perform determining at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and transmitting, to a network node, information indicating the at least one determined data collection category. The apparatus of the aspect may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0022] According to an aspect of the present disclosure, there is provided a non- transitory computer readable medium having stored thereon a set of computer readable instructions that, when executed by at least one processor, cause an apparatus to at least perform receiving, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node and determining which of the at least one determined data collection category is to be used by said another apparatus forcollecting data for positioning of the UE. The apparatus of the aspect may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0023] According to an aspect of the present disclosure, there is provided a non- transitory computer readable medium having stored thereon a set of computer readable instructions that, when executed by at least one processor, cause an apparatus to at least perform determining which measurements associated with multiple data collection categories are supported by the apparatus for collecting data for positioning of a User Equipment, UE, and transmitting an indication to a network node, the indication indicating the measurements which are supported by the apparatus for collecting data for positioning of the UE, wherein the apparatus is the UE or a wireless network node. The apparatus of the aspect may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.

[0024] According to an aspect of the present disclosure, there is provided a non- transitory computer readable medium having stored thereon a set of computer readable instructions that, when executed by at least one processor, cause an apparatus to at least perform receiving, from another apparatus, an indication indicating which measurements associated with multiple data collection categories are supported by said another apparatus for collecting data for positioning of a user equipment, UE, and determining, based at least on the received indication, at least one data collection category of said multiple data collection categories for said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of the UE. The apparatus of the aspect may be a user equipment or a wireless network node, or a control device configured to control the functioning thereof, when installed therein.BRIEF DESCRIPTION OF THE DRAWINGS

[0025] FIG. 1 illustrates an example of a network scenario in accordance with at least some example embodiments;

[0026] FIG. 2 illustrates different input measurements in accordance with at least some example embodiments;

[0027] FIG. 3 illustrates a signaling diagram in accordance with at least some example embodiments;

[0028] FIG. 4 illustrates an example apparatus capable of supporting at least some example embodiments;

[0029] FIG. 5 illustrates a flow graph of a first method in accordance with at least some example embodiments;

[0030] FIG. 6 illustrates a flow graph of a second method in accordance with at least some example embodiments;

[0031] FIG. 7 illustrates a flow graph of a third method in accordance with at least some example embodiments;

[0032] FIG. 8 illustrates a flow graph of a fourth method in accordance with at least some example embodiments.EXAMPLE EMBODIMENTS

[0033] Embodiments of the present disclosure provide enhancements for positioning of a User Equipment, UE. More specifically, embodiments of the present disclosure provide enhanced data collection for positioning of the UE by enabling the exploitation of multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of the UE. A first data collection category of said multiple data collection categories may comprise mandatory measurements without optional measurements and at least one second data collection category of said multiple data collection categories may comprise optional measurements.

[0034] An apparatus, such as a wireless network node or core network node, may receive from another apparatus, such as the UE or a wireless network node, information indicating at least one data collection category of said multiple data categories, possibly selected by said another apparatus, and / or an indication indicating which measurements are supported by said another apparatus. Said information and / or the indication may be a part of a UE capabilities information. The apparatus may then determine at least one data collection category for saidanother apparatus. Said another apparatus may thus perform said optional measurements, if needed and feasible, to achieve better positioning accuracy.

[0035] FIG. 1 illustrates an example of a network scenario in accordance with at least some example embodiments. According to the example scenario of FIG. 1, there may be a beam-based wireless communication system, which comprises UE 110, wireless network node 120 and core network 130. UE 110 may be connected to wireless network node 120 via air interface using beams 115, either simultaneously or one at a time.

[0036] UE 110 may comprise, for example, a smartphone, a cellular phone, a Machine- to-Machine, M2M, node, Machine-Type Communications, MTC, node, an Internet of Things, loT, node, a car telemetry unit, a laptop computer, a tablet computer or, indeed, any kind of suitable wireless terminal. In the example system of FIG. 1, UE 110 may communicate wirelessly with wireless network node 120 via at least one beam 115. Wireless network node 120 may be considered as a serving node for UE 110 and one cell of wireless network node 120 may be a serving cell for UE 110.

[0037] Air interface between UE 110 and wireless network node 120 may be configured in accordance with a Radio Access Technology, RAT, which both UE 110 and wireless network node 120 are configured to support. Examples of cellular RATs include Long Term Evolution, LTE, New Radio, NR, which may also be known as fifth generation, 5G, radio access technology, 6G radio access technology, and MulteFire. UE 110 and wireless network node 120 may be a part of a Radio Access Network, RAN. In some embodiments, the RAN may further comprise a Positioning Reference Unit, PRU. The PRU may be a UE with fixed and known position. Wireless network node 120 and the PRU may be referred to as RAN nodes.

[0038] For example, in the context of LTE wireless network node 120 may be referred to as eNB while wireless network node 120 may be referred to as gNB in the context of NR. In some example embodiments, wireless network node 120 may be referred to as a Transmission and Reception Point, TRP, or control multiple TRPs that may be co-located or non-co-located. In any case, example embodiments of the present disclosure are not restricted to any particular wireless technology. Instead, example embodiments may be exploited in any wireless communication system, wherein enhanced data collection for positioning would be beneficial.

[0039] Wireless network node 120 may be connected, directly or via at least one intermediate node, with core network 130 via interface 125. Core network 130 may be, in turn, coupled via interface 135 with another network (not shown in FIG. 1), via which connectivity to further networks may be obtained, for example via a worldwide interconnection network. Wireless network node 120 may be connected, directly or via at least one intermediate node, with core network 130 or with another core network. In some example embodiments, core network 130 may comprise core network nodes (not illustrated in FIG. 1). For example, a core network node configured to operate as a Location and Management Function, LMF, may be located in core network 130. A network node may refer to a RAN node and / or a core network node.

[0040] Embodiments of the present disclosure may be exploited for various UE positioning applications. For example, embodiments of the present disclosure may be exploited for Artificial Intelligence, Al, and Machine Learning, ML, positioning of the UE. In the context of 3GPP, AI / ML positioning scenarios may comprise at least one of AI / ML model at UE-side for direct positioning, AI / ML model in gNB-side for assisted positioning or AI / ML model in LMF-side for direct positioning.

[0041] Direct AI / ML positioning may comprise UE-based positioning with UE-side model, UE-assisted / LMF-based positioning with LMF-side model and RAN node assisted positioning with LMF-side model. AI / ML assisted positioning may comprise UE- assisted / LMF-based positioning with UE-side model, AI / ML assisted positioning and RAN node assisted positioning with gNB-side model. Embodiments of the present disclosure may be exploited for data collection, e.g., for AI / ML positioning of the UE with additional model inputs, which may relate to an enhancement of the AI / ML life cycle management (training, inference, and monitoring), as well as new signaling.

[0042] FIG. 2 illustrates different input measurements in accordance with at least some example embodiments. FIG. 2 illustrates different input measurement configurations with different types of information for collecting data for positioning.

[0043] Said input measurements may comprise radio measurements 202 as a first, mandatory measurement type, i.e., as an information type. Each of multiple data collection categories may comprise at least the mandatory measurements, such as radio measurements 202. A first data collection category of said multiple data collection categories may comprisethe mandatory requirements without any other measurements. That is, the first data collection category may comprise the mandatory measurements without optional measurements.

[0044] Said multiple data collection categories may comprise at least one second data collection category. The at least one second data collection category may comprise inputs with additional, optional data. For example, one of the at least second data collection category may comprise radio measurements 202 and area Identifier, ID, 204. Another one of the at least second data collection category may comprise radio measurements 202, area ID 204 and cell ID 206. Another one of the at least second data collection category may comprise radio measurements 202, area ID 204, cell ID 206 and TRP ID 208. Another one of the at least second data collection category may comprise radio measurements 202, area ID 204, cell ID 206, TRP ID 208 and beam ID 210. Thus, the different types of information may comprise at least one of radio measurements 202, area ID 204, cell ID 206, TRP ID 208 and beam ID 210, depending on the data collection category in question.

[0045] Different model input granularity may be defined as follows:• Model input granularity 1: with inputs as radio measurements 202 only, without any optional measurements;• Model input granularity 2: with inputs radio measurements 202 + area ID 204;• Model input granularity 3: With inputs radio measurements 202 + area ID 204 + cell ID 206;• Model input granularity 4: with input radio measurements 202 + area ID 204 + cell ID 206 + TRP ID 208; and• Model input granularity 5: with input radio measurements 202 + area ID 204 + cell ID 206 + TRP ID 208 + beam ID 210.

[0046] Each level of model granularity may imply different data collection framework and have impact on the model validity. Alternatively, or in addition, each level of model granularity may impact the consistency between training and inference.

[0047] In some embodiments, another data collection categories of the at least one second data collection category may comprise at least one of the following:• global cell ID;• Positioning Reference Signal, PRS, IDs of candidate TRPs for measurements; or• downlink resource PRS ID.

[0048] In some embodiments, radio measurement 202 may comprise at least one of the following: Reference Signal Received Path Power, RSRPP, downlink Reference Signal Carrier Phase Difference, RSCPD, downlink Reference Signal Carrier Phase, RSCP, uplink RSCP, Power Delay Profile, PDP, Channel Impulse Response, CIR, Power Delay, PD, Signal to Interference and Noise Ratio, SINR, Signal to Noise Ratio, SNR, Reference Signal Received Quality, RSRQ, or Received Signal Strength Indicator, RSSI. In some embodiments, other inputs different than channel measurements may comprise the labels (true UE position), quality indicator of the label and a related time stamp.

[0049] In some embodiments, a flag may be used to enable categorization of the data to collect into data collection categories. The flag may be used, e.g., to enable more flexibility and better adaptation to the network conditions. A flag may be used to indicate whether an information type is mandatory or optional. That is, each information type may be associated with one, corresponding flag.

[0050] For example, flag 1 may indicate mandatory data, i.e., mandatory measurements. Said mandatory data may relate to radio measurements which are required to be collected by UE 110 and needed as minimum for the model training (model granularity 1).

[0051] Flag 0 may indicate optional data, i.e., optional measurements. Said optional data may relate to additional data / information which may be collected by UE 110 in addition to the mandatory data, such as radio measurements. Said optional measurements may be considered as an enhancement. The collection of said optional data is optional for UE 110 and may be realized, e.g., based on the load and capabilities of UE 110 and / or the network, to enable more flexibility. The collection of said optional data would lead to higher granular model (e.g., granularity 2 or 3). For example, the spatial characteristics of the channel may be taken into account by considering at least one of area, cell, TRP or beam level information, to provide additional information on top of the radio measurements.

[0052] Data collection for positioning of UE 110, such as AI / ML positioning of UE 110. may be thus enhanced. For example, in case of AI / ML positioning ML model augmentation may be supported with additional inputs, in addition to radio measurements. In case of AI / ML positioning additional ML model inputs, such as beam related information, may be used to increase the size of data to collect, report and store. Additional ML models may be accounted for when the data are to be collected by UE 110 and shared with the network.

[0053] Additional ML model inputs may also impact the model architecture and size. A higher granularity model would be larger, which may impact the required memory storage and inference delay. On the other hand, additional input data may be exploited to enhance the performance of the model with better achievable accuracy. Also, given a targeted positioning accuracy, a higher granularity model would require less TRP measurements (e.g., 10 instead of 18 TRPs), thereby resulting in less PRS transmission and overall network resource optimization.

[0054] At the network side, different model input granularity may be defined as shown in Table 1. Each information type, such as CIR, SINR or PDP, may be associated with a flag. Depending on the situation, the network may indicate to UE 110 with a flag whether a certain information type, i.e., input, is mandatory or not.Table 1 Different input granularities

[0055] Given the different model input granularity options, the data collection should be performed such that it enables training & inference, comprising checking the consistency which may become more complex by enabling the different input options. Also, model switching among the different granularity levels may be enabled by using the flag(s).

[0056] FIG. 3 illustrates a signaling diagram in accordance with at least some example embodiments. On the vertical axes are disposed, from the left to the right, UE 110, Positioning Reference Unit, PRU, 122 and Location Management Function, LMF, 132. PRU 122 may be at a known location for performing UE positioning measurements. LMF 132 may be located in core network 130. Time advances from the top towards the bottom.

[0057] At step 302, UE 110 may report its capabilities. UE 110 may determine which measurements associated with said multiple data collection categories are supported by UE 110 for collecting data for positioning of UE 110. UE 110 then may transmit to LMF 132 an indication indicating the measurements which are supported by UE 110 for collecting data for positioning of UE 110. At step 304, UE 110 may transmit a data collection request to LMF 132.

[0058] LMF 132 may receive the indication from UE 110 indicating the measurements which are supported by UE 110 for collecting data for positioning of UE 110, and the data collection request as well. At step 306, LMF 132 may determine, based at least on the received indication, at least one data collection category of said multiple data collection categories for UE 110. LMF 132 may check the capabilities of UE 110 and willingness of UE 110 to perform said optional measurements.

[0059] At step 308, LMF 132 may transmit a configuration and at least one data category flag to UE 110, wherein each of the at least one data category flag is associated with a different type of data to be collected and indicates whether collection of the corresponding type of data is mandatory or optional. That is, if UE 110 supports said optional measurements, LMF 132 may indicate to UE 110 the configuration corresponding to data collection procedure, comprising for example PRS configuration, as well as the at least one flag indicating whether collection of the corresponding data by UE 110 is mandatory or optional. For example, radio measurements 202 may be mandatory but additional data, such as beam ID 210, may be optional to collect.

[0060] At step 310, UE 110 may determine at least one data collection category from said multiple data collection categories. UE 110 may check the at least one data category flag and decide what to collect. UE 110 may analyze the indication received from LMF 132 with the at least one flag indicating for each type of data whether collection of the data is mandatory or optional. Therefore, UE 110 may take into account its own and network conditions (e.g., load, battery level, etc.) and based on that decide what data to collect among the ones indicated as optional by the network, i.e., by LMF 132. Thus, UE 110 may select the at least one data collection category from multiple data collection categories, in accordance with the indication(s) of LMF 132.

[0061] At step 312, UE 110 may transmit to LMF 132 information indicating the at least one determined data collection category, possibly selected by UE 110. For example, UE 110may indicate to LMF 132 the selected list of data to be collected, which may correspond to the combination of the mandatory plus a selection from the optional measurements. After receiving the indication indicating the at least one data collection category determined by UE 110, LMF 132 may make the final decision on what to consider, or not be considered, as data collection content. At step 314, LMF 132 may transmit, in response to receiving said information indicating the at least one determined data collection category, confirmation about which of the at least one determined data category is to be used by UE 110 for collecting data for positioning of UE 110. The confirmation received by UE 110 from LMF 132 finalizes the list of data to be collected by UE 110.

[0062] In some embodiments, LMF 132 may initiate data collection from PRU 122 following the selection made by UE 110. At step 316, LMF 132 may transmit to PRU 122 a request to collect data following UE indication. At step 318, LMF 132 may collect data accordingly. At step 320, PRU 122 may transmit the collected data to LMF 132. At step 322, LMF 132 may transmit the data collected by PRU 122 to UE 110. Thus, the data collected by PRU 112 following LMF indications may be shared with UE 110.

[0063] At step 324, UE 110 may collect data in accordance with said confirmation about which of the at least one determined data category is to be used for collecting data for UE positioning. In some embodiments, UE 110 may train the AI / ML model using the collected data. UE 110 may combine the received data from LMF 132 along with its own collected data and then perform the AI / ML model training.

[0064] In some embodiments, UE 110 may determine mandatory and optional measurements based on at least one rule, wherein the at least one rule is related to Non-Line- of-Sight, NLOS, conditions. For example, more categories among the data types indicated using the flag may be introduced, such as “preferred / recommended”. In case of the NLOS context, the network may indicate these preferences especially among said optional measurements. The preferences may indicate to UE 110 another level of priority even among the optional model inputs, i.e., said optional measurements.

[0065] For example, the network may indicate the at least one rule to UE 110, e.g., by LMF 132. The at least one rule may comprise deterministic rules, based for example on measured per TRP LOS / NLOS indicator. Thus, based on the mean value of measured LOS / NLOS over all TRPs, the list of mandatory and / or optional measurements may vary based on comparison of the computed value to a predefined threshold, as illustrated in Table 2.Table 2 Example of NLOS thresholds

[0066] Thus, in some embodiments, UE 110 may need to report more mandatory measurements when the NLOS conditions are worse to ensure the required level of positioning accuracy. Alternatively, or in addition, UE 110 may also need to report for more TRPs and / or beams.

[0067] Embodiments of the present disclosure may be applicable to both, UE-side and NW-side, model. In case of the UE-side model, the network may configure UE 110 based on the capability check at step 306 of FIG. 3 and the rest of steps may be performed as discussed in connection with FIG. 3.

[0068] In case of the NW-side model, at least some operations of UE 110 may be performed by, e.g., wireless network node 120. Wireless network node 120, such as a TRP, may report its capabilities to LMF 132 as a first step. Next, LMF 132 may request wireless network node 120 for the data collection and wireless network node 120 may perform the operations of UE 110 in the same way as UE 110 performs according to FIG. 3. However, instead of communication between UE 110 and LMF 132, there may be communication between wireless network node 120 and LMF 132 using the NR Positioning Protocol A, NRPPa. An additional step may be performed at the end of the data collection phase, i.e., after step 324, because after that wireless network node 120 may, or might not, report optional measurement to LMF 132.

[0069] In some embodiments, wireless network node 120 may perform the operations of LMF 132. That is, the network node to which UE 110 may transmit said information indicating the at least one determined data collection category and / or the indication indicating themeasurements which are supported by UE 110, or not, may be wireless network node 120. Wireless network node 120 may then perform the operations of LMF 132 accordingly.

[0070] FIG. 4 illustrates an example apparatus capable of supporting at least some example embodiments. Illustrated is device 400, which may comprise, for example, UE 110, wireless network node 120 or EMF 132, or a control device configured to control the functioning thereof, possibly when installed therein. Comprised in device 400 is processor 410, which may comprise, for example, a single- or multi-core processor wherein a single-core processor comprises one processing core and a multi-core processor comprises more than one processing core. Processor 410 may comprise, in general, a control device. Processor 410 may comprise more than one processor. Processor 410 may be a control device. Processor 410 may comprise at least one application-specific integrated circuit, ASIC. Processor 410 may comprise at least one field-programmable gate array, FPGA. Processor 410 may be means for performing method steps in device 400. Processor 410 may be configured, at least in part by computer instructions, to perform actions.

[0071] A processor may comprise circuitry, or be constituted as circuitry or circuitries, the circuitry or circuitries being configured to perform phases of methods in accordance with example embodiments described herein. As used in this application, the term “circuitry” may refer to one or more or all of the following: (a) hardware-only circuit implementations, such as implementations in only analog and / or digital circuitry, and (b) combinations of hardware circuits and software, such as, as applicable: (i) a combination of analog and / or digital hardware circuit(s) with software / firmware and (ii) any portions of hardware processor(s) with software (including digital signal processor(s)), software, and memory(ies) that work together to cause an apparatus, such as a mobile phone or server, to perform various functions) and (c) hardware circuit(s) and or processor(s), such as a microprocessor(s) or a portion of a microprocessor(s), that requires software (e.g., firmware) for operation, but the software may not be present when it is not needed for operation.

[0072] This definition of circuitry applies to all uses of this term in this application, including in any claims. As a further example, as used in this application, the term circuitry also covers an implementation of merely a hardware circuit or processor (or multiple processors) or portion of a hardware circuit or processor and its (or their) accompanying software and / or firmware. The term circuitry also covers, for example and if applicable to the particular claim element, a baseband integrated circuit or processor integrated circuit for amobile device or a similar integrated circuit in server, a cellular network device, or other computing or network device.

[0073] Device 400 may comprise memory 420. Memory 420 may comprise randomaccess memory and / or permanent memory. Memory 420 may comprise at least one RAM chip. Memory 420 may comprise solid-state, magnetic, optical and / or holographic memory, for example. Memory 420 may be at least in part accessible to processor 410. Memory 420 may be at least in part comprised in processor 410. Memory 420 may be means for storing information. Memory 420 may comprise computer instructions that processor 410 is configured to execute. When computer instructions configured to cause processor 410 to perform certain actions are stored in memory 420, and device 400 overall is configured to run under the direction of processor 410 using computer instructions from memory 420, processor 410 and / or its at least one processing core may be considered to be configured to perform said certain actions. Memory 420 may be at least in part comprised in processor 410. Memory 420 may be at least in part external to device 400 but accessible to device 400.

[0074] Device 400 may comprise a transmitter 430. Device 400 may comprise a receiver 440. Transmitter 430 and receiver 440 may be configured to transmit and receive, respectively, information in accordance with at least one cellular or non-cellular standard. Transmitter 430 may comprise more than one transmitter. Receiver 440 may comprise more than one receiver. Transmitter 430 and / or receiver 440 may be configured to operate in accordance with Global System for Mobile communication, GSM, Wideband Code Division Multiple Access, WCDMA, Long Term Evolution, LTE, and / or 5G / NR standards, for example.

[0075] Device 400 may comprise a Near-Field Communication, NFC, transceiver 450. NFC transceiver 450 may support at least one NFC technology, such as Bluetooth, Wibree or similar technologies.

[0076] Device 400 may comprise User Interface, UI, 460. UI 460 may comprise at least one of a display, a keyboard, a touchscreen, a vibrator arranged to signal to a user by causing device 400 to vibrate, a speaker and a microphone. A user may be able to operate device 400 via UI 460, for example to accept incoming telephone calls, to originate telephone calls or video calls, to browse the Internet, to manage digital files stored in memory 420 or on a cloud accessible via transmitter 430 and receiver 440, or via NFC transceiver 450, and / or to play games.

[0077] Device 400 may comprise or be arranged to accept a user identity module 470. User identity module 470 may comprise, for example, a Subscriber Identity Module, SIM, card installable in device 400. A user identity module 470 may comprise information identifying a subscription of a user of device 400. A user identity module 470 may comprise cryptographic information usable to verify the identity of a user of device 400 and / or to facilitate encryption of communicated information and billing of the user of device 400 for communication effected via device 400.

[0078] Processor 410 may be furnished with a transmitter arranged to output information from processor 410, via electrical leads internal to device 400, to other devices comprised in device 400. Such a transmitter may comprise a serial bus transmitter arranged to, for example, output information via at least one electrical lead to memory 420 for storage therein. Alternatively to a serial bus, the transmitter may comprise a parallel bus transmitter. Likewise processor 410 may comprise a receiver arranged to receive information in processor 410, via electrical leads internal to device 400, from other devices comprised in device 400. Such a receiver may comprise a serial bus receiver arranged to, for example, receive information via at least one electrical lead from receiver 440 for processing in processor 410. Alternatively to a serial bus, the receiver may comprise a parallel bus receiver.

[0079] Device 400 may comprise further devices not illustrated in FIG. 4. For example, where device 400 comprises a smartphone, it may comprise at least one digital camera. Some devices 400 may comprise a back-facing camera and a front-facing camera, wherein the back- facing camera may be intended for digital photography and the front-facing camera for video telephony. Device 400 may comprise a fingerprint sensor arranged to authenticate, at least in part, a user of device 400. In some example embodiments, device 400 lacks at least one device described above. For example, some devices 400 may lack a NFC transceiver 450 and / or user identity module 470.

[0080] Processor 410, memory 420, transmitter 430, receiver 440, NFC transceiver 450, UI 460 and / or user identity module 470 may be interconnected by electrical leads internal to device 400 in a multitude of different ways. For example, each of the aforementioned devices may be separately connected to a master bus internal to device 400, to allow for the devices to exchange information. However, as the skilled person will appreciate, this is only one example and depending on the example embodiment various ways of interconnecting at least two of theaforementioned devices may be selected without departing from the scope of the example embodiments.

[0081] FIG. 5 is a flow graph of a first method in accordance with at least some example embodiments. The phases of the illustrated first method may be performed by UE 110 or wireless network node 120, or by a control device configured to control the functioning thereof, when installed therein.

[0082] The first method may comprise, at step 510, determining at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE. The first method may also comprise, at step 520, transmitting, to a network node, information indicating the at least one determined data collection category.

[0083] FIG. 6 is a flow graph of a second method in accordance with at least some example embodiments. The phases of the illustrated second method may be performed by wireless network node 120 or LMF 132, or by a control device configured to control the functioning thereof, when installed therein.

[0084] The second method may comprise, at step 610, receiving, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node. The second method may also comprise, at step 620, determining which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE.

[0085] FIG. 7 is a flow graph of a third method in accordance with at least some example embodiments. The phases of the illustrated third method may be performed by UE 110 or wireless network node 120, or by a control device configured to control the functioning thereof, when installed therein.

[0086] The third method may comprise, at step 710, determining which measurements associated with multiple data collection categories are supported by an apparatus for collecting data for positioning of a User Equipment, UE. The third method may also comprise, at step720, transmitting an indication to a network node, the indication indicating the measurements which are supported by the apparatus for collecting data for positioning of the UE, wherein the apparatus is the UE or a wireless network node.

[0087] FIG. 8 is a flow graph of a fourth method in accordance with at least some example embodiments. The phases of the illustrated fourth method may be performed by wireless network node 120 or LMF 132, or by a control device configured to control the functioning thereof, when installed therein.

[0088] The fourth method may comprise, at step 810, receiving, from another apparatus, an indication indicating which measurements associated with multiple data collection categories are supported by said another apparatus for collecting data for positioning of a user equipment, UE. The fourth method may also comprise, at step 820, determining, based at least on the received indication, at least one data collection category of said multiple data collection categories for said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of the UE.

[0089] It is to be understood that the example embodiments disclosed are not limited to the particular structures, process steps, or materials disclosed herein, but are extended to equivalents thereof as would be recognized by those ordinarily skilled in the relevant arts. It should also be understood that terminology employed herein is used for the purpose of describing particular example embodiments only and is not intended to be limiting.

[0090] Reference throughout this specification to one example embodiment or an example embodiment means that a particular feature, structure, or characteristic described in connection with the example embodiment is included in at least one example embodiment. Thus, appearances of the phrases “in one example embodiment” or “in an example embodiment” in various places throughout this specification are not necessarily all referring to the same example embodiment. Where reference is made to a numerical value using a term such as, for example, about or substantially, the exact numerical value is also disclosed.

[0091] As used herein, a plurality of items, structural elements, compositional elements, and / or materials may be presented in a common list for convenience. However, these lists should be construed as though each member of the list is individually identified as a separate and unique member. Thus, no individual member of such list should be construed as a de factoequivalent of any other member of the same list solely based on their presentation in a common group without indications to the contrary. In addition, various example embodiments and examples may be referred to herein along with alternatives for the various components thereof. It is understood that such example embodiments, examples, and alternatives are not to be construed as de facto equivalents of one another, but are to be considered as separate and autonomous representations.

[0092] In an example embodiment, an apparatus, such as, for example, UE 110, wireless network node 120 or LMF 132, may comprise means for carrying out the example embodiments described above and any combination thereof.

[0093] In an example embodiment, a computer program may be configured to cause a method in accordance with the example embodiments described above and any combination thereof. In an example embodiment, a computer program product, embodied on a non- transitory computer readable medium, may be configured to control a processor to perform a process comprising the example embodiments described above and any combination thereof.

[0094] In an example embodiment, an apparatus, such as, for example, UE 110, wireless network node 120 or LMF 132, may comprise 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 to, with the at least one processor, cause the apparatus at least to perform the example embodiments described above and any combination thereof.

[0095] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more example embodiments. In the preceding description, numerous specific details are provided, such as examples of lengths, widths, shapes, etc., to provide a thorough understanding of example embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the disclosure can be practiced without one or more of the specific details, or with other methods, components, materials, etc. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.

[0096] While the forgoing examples are illustrative of the principles of the example embodiments in one or more particular applications, it will be apparent to those of ordinary skill in the art that numerous modifications in form, usage and details of implementation can be made without the exercise of inventive faculty, and without departing from the principlesand concepts of the disclosure. Accordingly, it is not intended that the disclosure be limited, except as by the claims set forth below.

[0097] The verbs “to comprise” and “to include” are used in this document as open limitations that neither exclude nor require the existence of also un-recited features. The features recited in depending claims are mutually freely combinable unless otherwise explicitly stated. Furthermore, it is to be understood that the use of “a” or “an”, that is, a singular form, throughout this document does not exclude a plurality.INDUSTRIAL APPLICABILITY

[0098] At least some example embodiments find industrial application in cellular communication networks, for example in 3GPP networks, wherein data collection for positioning of a UE is needed.ACRONYMS LIST3GPP 3rdGeneration Partnership ProjectAl Artificial IntelligenceBS Base StationCIR Channel Impulse ResponseGSM Global System for Mobile communicationID Identifier loT Internet of ThingsLMF Location and Management FunctionLTE Long-Term EvolutionM2M Machine-to-MachineML Machine LearningMTC Machine-Type CommunicationsNFC Near-Field CommunicationNLOS Non-Line-of-SightNR New RadioNRPPa NR Positioning Protocol APD Power DelayPDP Power Delay ProfilePRS Positioning Reference SignalPRU Positioning Reference UnitRAN Radio Access NetworkRAT Radio Access TechnologyRSCP Reference Signal Carrier PhaseRSCPD Reference Signal Carrier Phase DifferenceRSRPP Reference Signal Received Path PowerRSRQ Reference Signal Received QualityRSSI Received Signal Strength IndicatorSINR Signal to Interference and Noise Ratio SNR Signal to Noise RatioTRP Transmission and Reception PointUE User EquipmentUI User InterfaceWCDMA Wideband Code Division Multiple AccessWiMAX Worldwide Interoperability for Microwave AccessWLAN Wireless Local Area NetworkREFERENCE SIGNS LIST

Claims

CLAIMS:

1. An apparatus comprising at least one processing core and at least one memory storing instructions that, when executed by the at least one processing core, cause the apparatus at least to: determine at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE; and transmit, to a network node, information indicating the at least one determined data collection category.

2. The apparatus according to claim 1, wherein said multiple data collection categories comprise a first data collection category further comprising radio measurements without optional measurements and at least one second data collection category further comprising said radio measurements with said optional measurements.

3. The apparatus according to claim 2, wherein the at least one processing core and the at least one memory further cause the apparatus at least to: transmit an indication to the network node, the indication indicating which measurements associated with said multiple data collection categories are supported by the apparatus for collecting data for positioning of the UE.

4. The apparatus according to claim 2 or claim 3, wherein the at least one second data collection category comprises at least one of an area identifier, a cell identifier, a transmission and reception point, TRP, identifier, a beam identifier, global cell identifier, positioning reference signal identifiers of candidate TRPs for measurements or downlink resource positioning reference signal identifier.

5. The apparatus according to any of the preceding claims, wherein each of said multiple data collection categories comprises at least mandatory measurements.

6. The apparatus according to any of the preceding claims, wherein the apparatus is the UE or a wireless network node.

7. The apparatus according to any of the preceding claims, wherein the at least one processing core and the at least one memory further cause the apparatus at least to: receive at least one data category flag from the network node, wherein each of the at least one data category flag is associated with a different type of data to be collected and indicates whether collection of the corresponding type of data is mandatory or optional.

8. The apparatus according to any of the preceding claims, wherein the at least one processing core and the at least one memory further cause the apparatus at least to: receive from the network node, in response to transmitting said information indicating the at least one determined data collection category, confirmation about which of the at least one determined data category is to be used by the apparatus for collecting data for positioning of the UE.

9. The apparatus according to claim 8, wherein the at least one processing core and the at least one memory further cause the apparatus at least to: collect data in accordance with said confirmation about which of the at least one determined data category is to be used for collecting data for positioning of the UE.

10. The apparatus according to claim 9, wherein the at least one processing core and the at least one memory further cause the apparatus at least to: perform at least one of training, monitoring or inference of a machine learning model for positioning of the UE based on said collected data.

11. The apparatus according to any of the preceding claims, wherein the at least one processing core and the at least one memory further cause the apparatus at least to: determine mandatory and optional measurements based on at least one rule, wherein the at least one rule is related to non-line-of-sight, NLOS, conditions.

12. An apparatus comprising at least one processing core and at least one memory storing instructions that, when executed by the at least one processing core, cause the apparatus at least to: receive, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node; and determine which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE.

13. The apparatus according to claim 12, wherein the at least one processing core and the at least one memory further cause the apparatus at least to: receive an indication from said another apparatus, the indication indicating which measurements associated with said multiple data collection categories are supported by said another apparatus for collecting data for positioning of the UE; and determine, based at least one the indication indicating the measurements which are supported by said another apparatus for collecting data for positioning of the UE, which of the at least one determined data category is to be used by said another apparatus for collecting data for positioning of the UE.

14. The apparatus according to claim 12 or claim 13, wherein the at least one processing core and the at least one memory further cause the apparatus at least to: transmit at least one data category flag to said another apparatus, wherein each of the at least one data category flag is associated with a different type of data to be collected and indicates whether collection of the corresponding type of data is mandatory or optional.

15. The apparatus according to any of claims 12 to 14, wherein the at least one processing core and the at least one memory further cause the apparatus at least to perform at least one of: transmit to said another apparatus, in response to receiving said information indicating the at least one determined data collection category, confirmation about which ofthe at least one determined data category is to be used by said another apparatus for collecting data for positioning of the UE; or transmit, to a positioning reference unit, a request for collecting data for positioning of the UE.

16. A method, comprising: determining at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE; and transmitting, to a network node, information indicating the at least one determined data collection category.

17. A method, comprising: receiving, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node; and determining which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE.

18. An apparatus, comprising: means for determining at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE; and means for transmitting, to a network node, information indicating the at least one determined data collection category.

19. An apparatus, comprising:means for receiving, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node; and means for determining which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE.

20. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions configured to: determine at least one data collection category from multiple data collection categories, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE; and transmit, to a network node, information indicating the at least one determined data collection category.

21. A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising program code instructions configured to: receive, from another apparatus, information indicating at least one data collection category of multiple data collection categories determined by said another apparatus, wherein each of said multiple data collection categories comprises a different measurement configuration with different types of information for collecting data for positioning of a User Equipment, UE, and said another apparatus is the UE or a wireless network node; and determine which of the at least one determined data collection category is to be used by said another apparatus for collecting data for positioning of the UE.

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