Positioning

By determining an optimal subset of PRS resources based on UE sampling rate capability, the solution addresses resource utilization and latency issues in 5G NR networks, enhancing positioning accuracy and network efficiency.

GB2640132APending Publication Date: 2025-10-15NOKIA TECHNOLOGIES OY
View PDF 3 Cites 0 Cited by

Patent Information

Application Number
GB2024004707
Authority / Receiving Office
GB · GB
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-04-03
Publication Date
2025-10-15

AI Technical Summary

Technical Problem

Conventional positioning procedures in radio access networks face challenges in achieving accurate positioning with optimal resource utilization and reduced latency, particularly due to limitations in bandwidth aggregation of positioning reference signals (PRS) in 5G NR networks.

Method used

The proposed solution involves an apparatus and method for determining an optimal subset of PRS resources based on the UE's sampling rate capability, allowing for efficient measurement and reporting of PRS, thereby optimizing bandwidth aggregation and reducing processing complexity and latency.

Benefits of technology

This approach enhances positioning accuracy while minimizing resource utilization and reducing latency by selecting an optimal subset of PRS resources for measurement, improving signal-to-interference-plus-noise ratio and overall network efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 00000000_0000_ABST
    Figure 00000000_0000_ABST
Patent Text Reader

Abstract

An apparatus (10, 110) having means (15) for receiving, from a location server (140) , configuration information (202) for configuring the apparatus to perform at least one measurement of at least one positioning reference signal, PRS, (203) wherein the configuration information has at least one indication of at least one set (204) of PRS resources for use in performing the at least one measurement of the at least one PRS. The apparatus has means (11) for determining at least one subset (204’) of the at least one set of PRS resources, wherein the determination is based at least in part on at least one sampling rate capability of the apparatus and has means (11, 15) for performing at least one measurement of the at least one PRS using the at least one subset of PRS resources. The apparatus has means (11, 15) for sending, to the location server, reporting information (208) for reporting the at least one measurement (209) of the at least one PRS.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNOLOGICAL FIELD Examples of the disclosure relate to positioning. Some relate and apparatuses, methods and computer programs for positioning, such as bandwidth aggregation, BWA, positioning. BACKGROUND Conventional positioning procedures (for instance procedures for determining a position of a user equipment, UE, in a radio access network, RAN) are not always optimal. In some circumstances, it may be desirable to provide an improve positioning procedure that enables an increase in an accuracy of a determined position. In some circumstances, it may be desirable to provide an improve positioning procedure that enables a reduction in resource utilization; not least such as processing resources of the UE, and network / radio resources. In some circumstances, it may be desirable to provide an improve positioning procedure that enables a reduction in latency. BRIEF SUMMARY According to various, but not necessarily all, examples of the disclosure there are provided examples as claimed in the appended claims. Any examples and features 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 embodiments of the invention. According to at least some examples of the disclosure there is provided an apparatus comprising: means for receiving, from a location server, configuration information for configuring the apparatus to perform at least one measurement of at least one positioning reference signal, PRS, wherein the configuration information comprises at least one indication of at least one set of PRS resources for use in performing the at least one measurement of the at least one PRS; means for determining at least one subset of the at least one set of PRS resources, wherein the determination is based at least in part on at least one sampling rate capability of the apparatus; means for performing at least one measurement of the at least one PRS using the at least one subset of PRS resources; and means for sending, to the location server, reporting information for reporting the at least one measurement of the at least one PRS. According to various, but not necessarily all, examples of the disclosure there is provided a method comprising: receiving, at an apparatus from a location server, configuration information for configuring the apparatus to perform at least one measurement of at least one positioning reference signal, PRS, wherein the configuration information comprises at least one indication of at least one set of PRS resources for use in performing the at least one measurement of the at least one PRS; determining, at the apparatus, at least one subset of the at least one set of PRS resources, wherein the determination is based at least in part on at least one sampling rate capability of the apparatus; performing, at the apparatus, at least one measurement of the at least one PRS using the at least one subset of PRS resources; and sending, from the apparatus to the location server, reporting information for reporting the at least one measurement of the at least one PRS. According to various, but not necessarily all, examples of the disclosure there is provided a chipset comprising processing circuitry configured to perform the above-mentioned method. According to various, but not necessarily all, examples of the disclosure there is provided a module, circuitry, device and / or system comprising means for performing the above-mentioned method. According to various, but not necessarily all, examples of the disclosure there is provided a computer program comprising instructions, which when executed by an apparatus, cause the apparatus to perform the above-mentioned method. According to various, but not necessarily all, examples of the disclosure there is provided an apparatus comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive, from a location server, configuration information for configuring the apparatus to perform at least one measurement of at least one positioning reference signal, PRS, wherein the configuration information comprises at least one indication of at least one set of PRS resources for use in performing the at least one measurement of the at least one PRS; determine at least one subset of the at least one set of PRS resources, wherein the determination is based at least in part on at least one sampling rate capability of the apparatus; perform at least one measurement of the at least one PRS using the at least one subset of PRS resources; and send, to the location server, reporting information for reporting the at least one measurement of the at least one PRS. According to various, but not necessarily all, examples of the disclosure there is provided a non-transitory computer readable medium encoded with instructions that, when executed by at least one processor, causes at least the following to be performed: receive, from a location server, configuration information for configuring the apparatus to perform at least one measurement of at least one positioning reference signal, PRS, wherein the configuration information comprises at least one indication of at least one set of PRS resources for use in performing the at least one measurement of the at least one PRS; determine at least one subset of the at least one set of PRS resources, wherein the determination is based at least in part on at least one sampling rate capability of the apparatus; perform at least one measurement of the at least one PRS using the at least one subset of PRS resources; and send, to the location server, reporting information for reporting the at least one measurement of the at least one PRS. According to at least some examples of the disclosure there is provided an apparatus comprising: means for receiving, from at least one user equipment, UE, information indicative of at least one sampling rate capability of the at least one UE; means for determining at least one subset of at least one set of positioning reference signal, PRS, resources, wherein the determination is based at least in part on the at least one sampling rate capability; means for sending, to the at least one UE, configuration information for configuring the at least one UE to perform at least one measurement on at least one PRS wherein the configuration information comprises at least one indication of the at least one subset of PRS resources; and means for receiving, from the at least one UE, reporting information for reporting the at least one measurement of the at least one PRS using the at least one subset of PRS resources. According to various, but not necessarily all, examples of the disclosure there is provided a method comprising: receiving, at an apparatus from at least one user equipment, UE, information indicative of at least one sampling rate capability of the at least one UE; determining, at the apparatus, at least one subset of at least one set of positioning reference signal, PRS, resources, wherein the determination is based at least in part on the at least one sampling rate capability; sending, from the apparatus to the at least one UE, configuration information for configuring the at least one UE to perform at least one measurement on at least one PRS wherein the configuration information comprises at least one indication of the at least one subset of PRS resources; and receiving, at the apparatus from the at least one UE, reporting information for reporting the at least one measurement of the at least one PRS using the at least one subset of PRS resources. According to various, but not necessarily all, examples of the disclosure there is provided a chipset comprising processing circuitry configured to perform the above-mentioned method. According to various, but not necessarily all, examples of the disclosure there is provided a module, circuitry, device and / or system comprising means for performing the above-mentioned method. According to various, but not necessarily all, examples of the disclosure there is provided a computer program comprising instructions, which when executed by an apparatus, cause the apparatus to perform: receiving, from at least one user equipment, UE, information indicative of at least one sampling rate capability of the at least one UE; determining at least one subset of at least one set of positioning reference signal, PRS, resources, wherein the determination is based at least in part on the at least one sampling rate capability; sending, to the at least one UE, configuration information for configuring the at least one UE to perform at least one measurement on at least one PRS wherein the configuration information comprises at least one indication of the at least one subset of PRS resources; and receiving, from the at least one UE, reporting information for reporting the at least one measurement of the at least one PRS using the at least one subset of PRS resources. According to various, but not necessarily all, examples of the disclosure there is provided an apparatus comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive, from at least one user equipment, UE, information indicative of at least one sampling rate capability of the at least one UE; determine at least one subset of at least one set of positioning reference signal, PRS, resources, wherein the determination is based at least in part on the at least one sampling rate capability; send, to the at least one UE, configuration information for configuring the at least one UE to perform at least one measurement on at least one PRS wherein the configuration information comprises at least one indication of the at least one subset of PRS resources; and receive, from the at least one UE, reporting information for reporting the at least one measurement of the at least one PRS using the at least one subset of PRS resources. According to various, but not necessarily all, examples of the disclosure there is provided a non-transitory computer readable medium encoded with instructions that, when executed by at least one processor, causes at least the following to be performed: receive, at an apparatus from at least one user equipment, UE, information indicative of at least one sampling rate capability of the at least one UE; determine, at the apparatus, at least one subset of at least one set of positioning reference signal, PRS, resources, wherein the determination is based at least in part on the at least one sampling rate capability; send, from the apparatus to the at least one UE, configuration information for configuring the at least one UE to perform at least one measurement on at least one PRS wherein the configuration information comprises at least one indication of the at least one subset of PRS resources; and receive, at the apparatus from the at least one UE, reporting information for reporting the at least one measurement of the at least one PRS using the at least one subset of PRS resources. The following portion of this ‘Brief Summary’ section describes various features that can be features of any of the examples described in the foregoing portion of the ‘Brief Summary’ section mutatis mutandis. The description of a function should additionally be considered to also disclose any means suitable for performing that function, or any instructions stored in at least one memory that, when executed by at least one processor, cause an apparatus to perform that function. In some but not necessarily all examples, the apparatus further comprises means for sending, to the location server, at least one indication of the at least one subset of PRS resources. In some but not necessarily all examples, the sending of the at least one indication of the at least one subset of PRS resources is based at least in part on the determination of the at least one subset of the at least one set of PRS resources. In some but not necessarily all examples, the apparatus further comprises means for receiving, from the location server, at least one indication to perform at least one measurement of the at least one PRS using the at least one subset of PRS resources. In some but not necessarily all examples, receiving the at least one indication to perform at least one measurement of the at least one PRS using the at least one subset of PRS resources is based at least in part on sending the at least one indication of the at least one subset of PRS resources to the location server. In some but not necessarily all examples,the performing of the at least one measurement of the at least one PRS using the at least one subset of PRS resources is based at least in part on one or more of the following: the at least one indication to perform at least one measurement of the at least one PRS using the at least one subset of PRS resources, or the determination of the at least one subset of the at least one set of PRS resources. In some but not necessarily all examples,the sending of the at least one indication of the at least one subset of PRS resources is based at least in part on the performing of the at least one measurement of the at least one PRS. In some but not necessarily all examples, the apparatus further comprises means for receiving, from the location server, at least one indication to perform at least one measurement of the at least one PRS using the at least one set of PRS resources. In some but not necessarily all examples, the determination is triggered based at least in part on the receipt of the at least one indication to perform at least one measurement of the at least one PRS using the at least one set of PRS resources. In some but not necessarily all examples, the performing of the at least one measurement of the at least one PRS using the at least one subset of PRS resources is based at least in part on the at least one indication to perform at least one measurement of the at least one PRS using the at least one subset of PRS resources. In some but not necessarily all examples, the apparatus further comprises means for receiving, from at least one network node, the at least one PRS. In some but not necessarily all examples,the configuration information configures the apparatus to perform at least one aggregated PRS positioning measurement. In some but not necessarily all examples, the at least one PRS comprises at least one of the following: at least one aggregated PRS; at least one bandwidth aggregated PRS; or a sidelink, SL, PRS. In some but not necessarily all examples, the measurement of the at least one PRS comprises at least one of the following: measuring at least one aggregated PRS; measuring at least one bandwidth aggregated PRS; or measuring using aggregated PRS resources. In some but not necessarily all examples: the at least one set of PRS resources comprises at least one set of positioning frequency layers, PFLs; and the at least one subset of the at least one set of PRS resources comprises at least one subset of the set of PFLs. In some but not necessarily all examples, the reporting information is sent to the location server for enabling the location server to determine at least one position estimate of the apparatus. According to various, but not necessarily all, embodiments there is provided an apparatus comprising means for performing at least part of one or more methods described herein. The description of a function and / or action should additionally be considered to also disclose any means suitable for performing that function and / or action. Functions and / or actions described herein can be performed in any suitable way using any suitable method. According to various, but not necessarily all, embodiments there is provided examples as claimed in the appended claims. While the above examples of the disclosure and optional features are described separately, it is to be understood that their provision in all possible combinations and permutations is contained within the disclosure. It is to be understood that various examples of the disclosure can comprise any or all the features described in respect of other examples of the disclosure, and vice versa. Also, it is to be appreciated that any one or more or all the features, in any combination, may be implemented by / comprised in / performable by an apparatus, a method, and / or computer program instructions as desired, and as appropriate. The description of a function should additionally be considered to also disclose any means suitable for performing that function. BRIEF DESCRIPTION Some examples will now be described with reference to the accompanying drawings in which: FIG. 1 shows an example of the subject matter described herein; FIG. 2 shows another example of the subject matter described herein; FIG. 3 shows another example of the subject matter described herein; FIG. 4 shows another example of the subject matter described herein; FIG. 5 shows another example of the subject matter described herein; FIG. 6 shows another example of the subject matter described herein; and FIG. 7 shows another example of the subject matter described herein. The figures are not necessarily to scale. Certain features and views of the figures can be shown schematically or exaggerated in scale in the interest of clarity and conciseness. For example, the dimensions of some elements in the figures can be exaggerated relative to other elements to aid explication. Similar reference numerals are used in the figures to designate similar features. For clarity, all reference numerals are not necessarily displayed in all figures. In the description and drawings, a reference number without a subscript (e.g. 123) can be used as a generic reference to a feature or class / set of features. A reference number with a subscript (e.g. 123_1) can be used as a specific reference, e.g. to differentiate different instances of a feature or class / set of features. ABBREVIATIONS / DEFINITIONS 3GPP 3rd Generation Partnership Project 5G 5th Generation BS Base Station BW Bandwidth BWA Bandwidth Aggregation gNB LMF Next generation NodeB, 5G / NR base station Location Management Function LS Location Server NE Network Entity NR New Radio NW Network OFDM Orthogonal Frequency-Division Multiplexing PFL Positioning Frequency Layer PRS Positioning Reference Signal RAN Radio Access Network RSTD Reference Signal Time Difference RTOA Relative Time Of Arrival SCS Sub Carrier Spacing SL Sidelink SRS Sounding Reference Signal TRP Transmission Reception Point UE User Equipment UL Uplink DETAILED DESCRIPTION FIG. 1 schematically illustrates an example of a network 100 suitable for use with examples of the present disclosure. The network (which may be referred to as NW) comprises a plurality of network entities (which may be referred to as NEs), including: • terminal apparatuses 110 (which may be referred to as terminal nodes or User Equipment, UE), • access apparatuses 120 (which may be referred to as access nodes, gNodeBs, gNBs, or Base Stations, BSs), • one or more location servers, LS, 140 (which may be referred to as positioning servers or Location Management Functions, LMFs), and • one or more network apparatuses 130 (which may be referred to as core nodes). The terminal nodes 110 and access nodes 120 communicate with each other. The one or more core network nodes 130 may, in some but not necessarily all examples, communicate with each other. The one or more access nodes 120 may, in some but not necessarily all examples, communicate with each other. The access nodes 120 may communicate with the location server 140 via the one or more core nodes 130. The access nodes 120 and one or more location servers 140 may communicate directly with each other. The network 100 is, in this example, a radio telecommunications network, i.e. a RAN, in which at least some of the terminal nodes 110 and access nodes 120 communicate with each other using transmission / reception of radio waves. The network 100 may be Radio Access Network, RAN, such as a cellular network comprising a plurality of cells 122 each served by an access node 120. The access nodes 120 comprise cellular radio transceivers. The terminal nodes 110 comprise cellular radio transceivers. In the particular example illustrated and discussed below, the network 100 is a New Radio, NR, network of the Third Generation Partnership Project, 3GPP, and its fifth generation, 5G, New Radio, NR, technology. In other examples, the network 100 may be a network beyond 5G, for example a next generation (i.e. sixth generation, 6G) Radio Network that is currently under development (i.e. an evolution of the NR network and its 5G technology). The interfaces between the terminal nodes 110 and the access nodes 120 are radio interfaces 124 (e.g., llu interfaces). The interfaces between the access nodes 120 and one or more core nodes 130 are backhaul interfaces 128 (e.g., S1 and / or Next Generation, NG, interfaces). The interfaces between the one or more location servers 140 and the one or more core nodes 130 are backhaul interface 132 (e.g., NLs interface). Depending on the exact deployment scenario, the access nodes 120 may be RAN nodes such as NG-RAN nodes. NG-RAN nodes may be gNodeBs, gNBs, that provide NG user plane and control plane protocol terminations towards the UE. The gNBs connected by means of NG interfaces to a 5G Core (5GC), more specifically to an Access and Mobility Management Function, AMF, by means of an NG Control Plane, NG-C, interface and to a User Plane Function, UPF, by means of an NG User Plane, NG-U, interface. The access nodes 120 may be interconnected with each other by means of Xn interfaces 126. The cellular network 100 may be configured to operate in licensed frequency bands, or unlicensed frequency bands (not least such as: unlicensed bands that rely upon a transmitting device to sense the radio resources / medium before commencing transmission, such as via a Listen Before Talk, LBT, procedure; and a 60GHz unlicensed band where beamforming may be required in order to achieve required coverage). The access nodes 120 may be deployed in an NG standalone operation / scenario. The access nodes 120 may be deployed in a NG non-standalone operation / scenario. The access nodes 120 may be deployed in a Carrier Aggregation, CA, operation / scenario. The access nodes 120 may be deployed in a Dual Connectivity, DC, operation / scenario, i.e., Multi Radio Access Technology - Dual Connectivity, MR- DC, or NR-DC. The access nodes 120 may be deployed in a Multi Connectivity, MC, operation / scenario. In such non-standalone / dual connectivity deployments, the access nodes 120 may be interconnected to each other by means of X2 orXn interfaces, and connected to an Evolved Packet Core, EPC, by means of an S1 interface or to the 5GC by means of a NG interface. A terminal node 110, in addition to being capable of communicating (i.e. with other terminal nodes) via access nodes 120 of the network 100, may also be capable of and configured to communicate directly with one or more other terminal nodes. In this regard, the terminal node may be capable of and configured to perform device-to-device, D2D, communication - which may be referred to as Sidelink, SL, communication. Such D2D / SL communication may use a PC5 interface. PC5 refers to a reference point where the terminal node communicates directly with another terminal node over a direct channel (i.e. communication via an access node is not required). D2D communications may be short-range, network-less, direct communications. SL in New Radio (NR) is defined in 3GPP’s release 16 of 5G NR. In the example of FIG. 1 the core node 130 is shown as a single entity. In some examples the core node 130 could be distributed across a plurality of entities. For example, the core node 130 could be cloud based or distributed in any other suitable manner. The access nodes 120 are network elements in the network responsible for radio transmission and reception in one or more cells 122 to or from the terminal nodes 110. The access nodes 120 are the network termination of a radio link. Each access node may be a Transmission Reception Point, TRP, or may host one or more TRPs. An access node 120 may be implemented as a single network equipment, or have a split architecture that is disaggregated / distributed over two or more access nodes, such as a Central Unit, CU, a Distributed Unit, DU, a Remote Radio Head-end, RRH, using different functional-split architectures and different interfaces. The terminal nodes 110 are network elements in the network that terminate the user side of the radio link. They are devices allowing access to network services. Terminal node 110 functionalities may be performed also by Mobile Termination, MT, part of an Integrated Access and Backhaul, IAB, node. The terminal nodes 110 may be referred to as User Equipment, UE, mobile equipment, mobile terminals or mobile stations. The term ‘User Equipment’ may be used to designate mobile equipment comprising means, such as a smart card, for authentication / encryption etc. such as a Subscriber Identity Module, SIM. A SIM / SIM card can be a memory chip, a module, or a Universal Subscriber Identity Module (USIM). In some examples, the term ‘User Equipment’ can be used to designate a location / position tag, a hyper / smart, a hyper / smart sensor, or a mobile equipment comprising circuitry embedded as part of the user equipment for authentication / encryption such as a software SIM. The location server 140 is a device that manages the support of different location services for UEs, including positioning of UEs and delivery of assistance data to UEs. The location server 140 can be connected to the core node and the Internet. The location server can be implemented as one or more servers. The location server is configured to support one or more location services for UEs 110 that can connect to the location server 140 via the core network 130 and / or via the Internet. The location server may be referred to as Location Management Function, LMF. Where the location server resides in an access node, it may be referred to as a Location Management Component, LMC. The location server may interact with one or more access nodes and / or one or more UEs to effect a positioning procedure to determine a position of a target UE. In some examples, the positioning procedure involves the target UE measuring one or more reference signals for use in a positioning procedure, such reference signals referred to herein generally as positioning reference signals, PRSs (e.g. one or more downlink, DL, PRSs) transmitted by one or more access nodes, and reporting the PRS measurements to the location server. In some examples, the positioning procedure involves one or more access nodes measuring one or more PRS (e.g. one or more uplink, UL, PRSs such as Sounding Reference Signals, SRSs) transmitted by the target UE, and reporting the PRS measurements to the location server. In some examples, the positioning procedure involves one or more UEs measuring one or more PRS (e.g. one or more sidelink, SL, PRSs) transmitted by the target UE (and vice versa), and reporting the PRS measurements to the location server. In the following description: a terminal apparatus / terminal node may be referred to simply as a UE 110; an access apparatus / access node may be referred to simply as BS 120; and a location / positioning server may be referred to simply as an LMF 140. There now follows a brief discussion of positioning in a RAN. The position of a target UE within a RAN can be determined by an LMF by various conventional network-based positioning techniques (such as using: LTE Positioning Protocol, LPP; New Radio Positioning Protocol, NRPP, or Sidelink Positioning Protocol, SLPP). Conventional techniques may involve the exchange, over a Uu interface in the NR spectra, of RSs (e.g., transmitting Orthogonal Frequency-Division Multiplexing, OFDM, Positioning Reference Signals, PRSs, from a RAN node to the target UE for DL positioning; transmitting OFDM-SRSs from the target UE to a RAN node for uplink, UL, positioning; and transmitting OFDM-SL PRSs from one or more UEs to a target UE for SL positioning). Such Reference Signals, RSs, are received, detected and measured by the gNBs (for UL positioning) or the UE (for DL or SL positioning). The LMF, receives the measurements from the gNBs or the UE. Such measurement information is received by the LMF via an Access and Mobility Management Function, AMF, over a backhaul interface (e.g., NLs interface). The LMF then uses such received measurement information to compute the position of the target UE. A NR Positioning Protocol A, NRPPa, carries positioning information between the NG-RAN nodes and the LMF over a NG control plane interface (e.g., NG-C interface). Such Radio Access Technology, RAT, based positioning techniques may utilize one of the following methods: Uplink Angle of Arrival (UL-AoA), Downlink Angle of Departure (DL-AoD), Variance of Time of Arrival (TOA)-based ranging, Uplink Time Difference of Arrival (UL-TDOA), Downlink Time Difference of Arrival (DL-TDOA), and Multi-cell Round Trip Time (Multi-RTT). The 5G NR localization process is standardized in the 5G NR LPP specification. A conventional positioning session relies on a receiver measuring positioning RSs (PRS in DL, and SRS in UL) which are scheduled by the network on specific timefrequency-space-code resources. The allocation of resources for such transmissions is coordinated across multiple UEs and gNBs via LPP and NRPPa interfaces, so that the RSs are ensured to be unique and interference free. This is done to enable the receiver (e.g. UE in DL and gNB in UL) to determine / compute / extract positioning measurements which are reported back to the network (in case of UE-assisted positioning) or used locally (for UE-based positioning) to compute the UE location. A target UE can be positioned by such above-mentioned conventional positioning techniques - referred to as NR Uu-based positioning. A target UE can be also be positioned by positioning techniques such as NR Sidelink, SL, based positioning and also Artificial Intelligence / Machine Learning, AI / ML, based (or assisted) positioning, or any hybrid method. The accuracy of positioning measurements, especially timing related measurements, normally improves with an increase in signal bandwidth, i.e. the bandwidth of a PRS used. However, in 5G NR sub 6GHz, a maximum supported carrier bandwidth per positioning frequency layer, PFL, is 100 MHz. This maximum available bandwidth limits an achievable (maximum) possible positioning accuracy using Rel-16 / 17 positioning methods. Bandwidth, BW, aggregation for positioning is a technique that can further improve positioning accuracy. There now follows a brief discussion of BW aggregation, BWA, for positioning. According to standards at the time of this application, BWA for positioning may involve the following: Specifying bandwidth aggregation for positioning measurements across plural (not least for example up to three) intra-band contiguous carriers. Specifying signaling and procedures to support aggregation of PRS / SRS (respectively) resources across PFLs / carriers (respectively) for positioning measurements under the assumption that the signals over aggregated resources are transmitted and received (respectively) using a single RF chain (i.e. the same antenna). It is noted that the support of bandwidth aggregation for positioning measurements may apply only to timing related measurements (e.g. Reference Signal Time Difference, RSTD; Relative Time Of Arrival, RTOA; and UE / BS Rx-Txtime difference). Specifying Radio Resource Management, RRM, requirements with measurement gaps in a connected mode, and in an inactive mode, including PRS measurement period / reporting. By aggregating PRSs / PFLs, a larger BW can be achieved. For PRS bandwidth aggregation between PRS in two or three different PFLs, the following may be needed for the aggregated PRS resources for a TRP: • The same periodicity and slot offset • The same muting pattern • The same NR-DL-PRS-SFNO-Offset value • UE expects to be configured with PRS resources that maintain a per-symbol uniformly spaced PRS pattern across aggregated bandwidths in frequency domain (it is noted that this does not preclude dropping some Resource Elements, REs, in a guardband between two PFLs). When a UE is expected to perform aggregated measurements for bandwidth aggregation across DL PRS positioning frequency layers, in standards at the time of this application, the UE may expect to be configured with linkage information, via higher layer parameter [nr-linked-DL-PRS-ResourceSetlDList-PrsAggregation], between DL PRS resource sets across DL PRS positioning frequency layers. For the linked DL PRS resource sets, the UE may be expected to be configured with the same values of Quasi Co Location, QCL, dl-PRS-Periodicity-and-ResourceSetSlotOffset, dl-PRS-NumSymbols, dl-PRS-ResourceTimeGap, dl-PRS-ResourceRepetitionFactor, dl-PRS-ResourceSymbolOffset, dl-prs-MutingBitRepetitionFactor, dl-PRS-SubcarrierSpacing, dl-PRS-CyclicPrefix, comb size, power per subcarrier, NR-MutingPattern, and NR-DL-PRS-SFNO-Offset, and the UE may be expected to be configured with DL PRS resources that maintain uniformly spaced DL PRS RE pattern within a symbol across aggregated DL PRS positioning frequency layers. The UE may assume that DL PRS resources across the linked DL PRS resource sets which satisfy the above conditions are linked for bandwidth aggregation, and the UE may assume phase continuity on the DL PRS resources on same symbol(s) in the standards at the time of this application; otherwise, the UE may not assume that PRS resources from the linked DL PRS resource sets are linked for bandwidth aggregation. PFL relates to frequency domain resources of PRS resources. It is possible to transmit PRS resources in different PFLs (for instance up to 4 PFLs can be defined perTRP). A PFL is defined as a collection of DL PRS resource sets where each DL PRS resource set is in turn a collection of DL PRS resources. Each DL PRS resource is itself a PRS sequence that is transmitted in frequency domain resource elements, REs. All DL PRS resources from all DL PRS resource sets from the same positioning frequency layer have some common / same PRS parameters viz. PRS subcarrier spacing, PRS resource bandwidth, PRS start PRB, PRS Point A, PRS Comb size and PRS cyclic prefix. For instance, with reference to FIG. 3, this shows a single TRP (e.g. a single BS 120) configured with a set of PRS resources; namely a set of PFLs: 204_11,204_12, 204_13 and 204_14. It is to be appreciated that, in other examples, one or more of the PFLs may be allocated to one or more other TRPs / BSs. Each of the set of PFLs 204_11 - 204_14 comprises a collection of PRS resource sets 204_21 - 204_22, wherein each DL PRS resource set is in turn a collection of PRS resources 204_31 -204_364 (i.e. a collection of differing PRS sequences of a given length). The LMF may provide linkage information to a UE in term of PRS resource sets, which indicates the linkage of PFLs to be used for PRS bandwidth aggregation. In this regard, with reference to the example of FIG. 3, the LMF may indicate linkage information to the UE linking PRS Set1 (in PFL1), PRS Set3 (in PFL2), and PRS Set8 (in PFL4) for PRS bandwidth aggregation (i.e. such that, in effect, the UE is configured to use a set of PRS resources for PRS bandwidth aggregation, wherein the set of PRS resources comprises the following set of PFLs: PFL1, PFL2 and PFL4). The UE would then check for required conditions on the PRS resources among the configured PRS sets for BW aggregation. In the example of FIG. 3, PRS Set1 (PRS resource ID 64), PRS Set3 (PRS resource ID 64), and PRS Set8 (PRS resource ID 64) are aggregated following on from the UE determining that the required condition is satisfied for these PRS resources. For PRS bandwidth aggregation, with regards to signaling in a location information request message, the following may be introduced: • A request to indicate to a UE which (e.g. two or three) PFLs are to be used for performing joint measurement of the PRSs (i.e. a positioning measurement over aggregated resources allocated to a PRS) • A new ReportingGranularityfactor, k, smaller than 0, which can be applicable at least when the LMF requests aggregated measurements. Values of k at least of: {-1,-2} may be supported. Other values of k (e.g. -3, -4, -5, -6) may also be supported. A delay, i.e. a RSTD measurement reporting granularity, is given by 2kTc where Tc = 1 / (4096*480e3). Accordingly, the smaller the value of k (e.g., k = -6 ), higher the reporting granularity. A particular value of ‘k’ to be used may be indicated by LMF, or the UE may choose a value based on its capability, i.e. the UE’s sampling rate capability. For PRS bandwidth aggregation across PFLs, the following may be supported: • Per TRP basis and per PRS resource set basis. o For each TRP, new signaling to indicate which PRS resource sets across PFLs are linked. o It is assumed that PRS resources across linked PRS resource sets are linked if certain conditions are satisfied. From each PFL / PRS-resource-set, one PRS resource is aggregated if the conditions are satisfied. For non-linked PRS resource sets, no aggregation is assumed even if the conditions are satisfied. The now follows a discussion of certain issues with PRS BW aggregation that certain examples of the present invention seek to ameliorate or address. For PRS BW aggregation, an LMF may indicate to a UE which PFL (e.g. which two or three PFLs) to use for performing joint positioning measurements. This may be indicated in a location information request message. PRS resource configuration is determined by the LMF (including the PFLs specified / selected by the LMF), and the configuration is then indicated to the BSs. For PRS bandwidth aggregation between PRSs in two or three different PFLs, the following are needed for the aggregated PRS resources for a TRP: • The same periodicity and slot offset • The same muting pattern • The same NR-DL-PRS-SFNO-Offset value • The UE expects to be configured with PRS resources that maintain a per-symbol uniformly spaced PRS pattern across aggregated bandwidths in frequency domain (Note: It does not preclude dropping some REs in the guardband between two PFLs). The LMF may decide whether to use, for example, two or three PFLs for PRS BW aggregation. The LMF’s division in this regard may be based on an available BWs (per PFL) of each BS (for example, based on information collected by the LMF in response to TRP information request sent by LMF to BSs) and a UE’s aggregation capability. For example, possible values for two and three PFL aggregated PRS bandwidth may be defined in an Information Element, e.g. IE: NR-DL-PRS-ProcessingCapability [see, for example, 3GPP TS 37.355 V18.0.0 (2023-12)] PRS-BWA-TwoContiguouslntrabandlnMG-r18 ::= SEQUENCE { maximumOfTwoAggregatedDL-PRS-Bandwidth-FR1-r18 ENUMERATED {mhz10, mhz20, mhz40, mhz50, mhz80, rnhzIOO, mhz160, mhz200} OPTIONAL, PRS-BWA-ThreeContiguouslntrabandlnMG-r18 ::= SEQUENCE { maximumOfThreeAggregatedDL-PRS-Bandwidth-FR1-r18 ENUMERATED {mhz15, mhz20, mhz30, mhz40, mhz50, mhz60, mhz80, rnhzIOO, mhz120, mhz140, mhz150, mhz180, mhz200, mhz240, mhz300} OPTIONAL, With the above possibility / combination of PRS BW aggregation, let us assume that the LMF configures three PFL PRS aggregation with bandwidth 30 MHz (i.e., 10 MHz in each PFL). The aggregated BW (30 MHz) should provide better channel sensing capability, with the increase in the sampling rate, as compared with each PFL (i.e., 10 MHz). At baseband, a sampling period, i.e. a time difference between two sampling instances, is inversely proportional to sampling rate. In particular, sampling period = 1 / (sampling rate). A sampling rate (or sampling frequency) = 1 / (sampling period) >BW of the complex baseband IQ data. In theory, with higher sample rate, timing measurement accuracy, such as propagation delay estimation accuracy at the baseband processing, can be increased. If one was to assume that a sub carrier spacing, SCS, of 15 kHz was used, then there would be a maximum of 52 resource blocks, RBs, per 10 MHz NR carrier. The actual transmission bandwidth is less than 10MHz, as a small portion of the bandwidth is reserved for guard band. With the use of three PFLs, there would be 1872 REs (i.e., 3*52 RBs = 3*52*12 REs = 1872 REs or subcarriers). In OFDM, inverse fast fourier transform, IFFT, is used to obtain a time-domain baseband signal. IFFT / FFT sizes are in powers of 2. So an IFFT / FFT size that can cover 1872 REs is 2048. Thus, for the example three PFL PRS BW aggregation, the effective IFFT / FFT required size is 2048. A baseband sampling rate is a function of IFFT / FFT size and SCS. The baseband sampling rate by which signal processing is performed, i.e. the channel sampling rate Fs is: Fs = IFFT / FFT size * SCS The sampling period Ts is: Ts =------------- IFFT / FFT size*SCS Hence, the channel sampling rate for 3 PFLs is Fs3PFL = 2048 * 15e3 = 30.72 Msps (mega sample per second), and the sampling period t3PFL is: T3pfl =---1---= 32 6 ns s 2048*15e3 By contrast, if only a single PFL was to be used (rather than three PFLs) there would be 624 REs (i.e. 52 RBs = 52*12 REs or subcarriers), for which the IFFT size would be 1024. The channel sampling rate F}pfl is: _ 194g * 15^3 = 15.36 Msps and the sampling period TsPFL is: Hence, the channel sampling rate value for three PFL PRS BW aggregation is higher than for the single PFL case. However, the UE could in fact achieve same sampling rate as for three PFL PRS BWA by using just two PFLs each 10 MHz. For two PFLs, there would be 1248 REs (i.e. 2*52 RBs = 2*52*12 REs or subcarriers), for which the IFFT size would be 2048 (i.e. the same as for three PFL PRS BWA). Hence the channel sampling rate would be the same as for three PFL PRS BWA, namely: F2PFL = 2048 * 15e3 = 30.72 Msps Accordingly, in terms of channel sensing (i.e. sampling rate), there is no gain or benefit in going from F2PFL to F3PFL. This is because doing so would result in the same channel delay estimation and hence result in the same level of positioning accuracy. However, going from FS2PFL to FS3PFL would result in significant UE processing overhead as well as increased latency. The detailed example set out above is just one-use case of 10 MHz per PFL (i.e. equal BW among the PFLs). It is to be appreciated that there are many other possible PRS BWA combinations (including unequal BWs among PFLs). Accordingly, there could be many other cases where similarly there is no benefit, i.e. improvement in positioning accuracy, gained by using “p” PFLs instead of using fewer “p-o” PFLs, (where: p and o are integers, and p >o). If an LMF were to indicate to a UE that the UE should perform positioning measurements using a combination of three PFLs, wherein using just two PFLS would not adversely impact the channel sampling rate as compared to using three PFLs, then it would be advantageous for the UE to drop one of the PFLs, as doing so would not compromise the channel sampling rate (nor the resultant positioning accuracy). Alternatively, it would be advantageous for the UE to further coordinate with the LFM (e.g. informing the LMF of the redundancy of using three PFLs rather than two), such that the UE could be reconfigured to use two PFLs so that the overall network resources are optimally used, whilst not compromising the UE’s channel sampling rate nor the resultant positioning accuracy. Yet furthermore, if a BS’s maximum transmit power would be the same for both three and two PFL combination scenarios, then a BS may use two PFLs with a higher transmit power than it would be able to transmit at if three PFLs used. In general, this means that the Signal-to-Interference-plus-Noise Ratio, SI NR, of PRSs transmitted via smaller channel bandwidths would be higher than that if a wider bandwidth were used. Accordingly, in instances where using two PFLs instead of three PFLS does not compromise the UE’s channel sampling rate or positioning accuracy, advantageously using few PFLs (and less bandwidth) would improve SINR which would also help further improve positioning by improving the receipt of PRSs and lead to an accuracy of position estimation. In summary, if a particular configured set of PFLs were to result in an increase in bandwidth for use in positioning (i.e. transmission of PRSs) as compared to a subset of the set of PFLs [thereby increasing UE complexity and latency in measuring the PRSs using the set of PFLs], but do not in fact impact / improve upon the UE’s channel sampling rate (and hence the resultant positioning accuracy), then it would be advantageous not to use the entire set of PFLs, but instead use a subset of PFLs. Such a subset of PFLS would thereby be considered to be an optimal combination of PFLs combination from the set of PFLs indicated / configured by LMF for aggregated PRS positioning measurements. Various examples of the present disclosure seek to provide improved positioning. Various examples of the present disclosure seek to address / mitigate the abovedescribed issues. Various examples of the present disclosure seek to provide the above-described benefits, not least such that UE processing complexity can be reduced As will be discussed further below, in certain examples of the present disclosure, a UE determines an optimal PFL combination / subset from a set of PFLs indicated / configured by LMF for aggregated PRS positioning measurements. This is done by determining and exploiting a redundancy in the sampling rates within the configured PFL bandwidth combinations. This may beneficially give rise to: a reduction in UE processing complexity, a reduction in positioning measurement latency, and / or an increase in SINR of received PRSs. FIG. 2 schematically illustrates a method 200 in accordance with an example of the subject matter described herein. FIG. 2 can be considered to illustrate a plurality of methods, in the sense that FIG. 2 can be considered to illustrate one or more actions performed by / at a plurality of actors / entities (i.e. UE 110 and LMF 140). FIG. 2 can therefore be considered to illustrate a plurality of individual methods performed by each respective individual actor / entity of the plurality of the actors / entities. The component blocks of FIG. 2 are functional and the functions described can be performed by a single physical entity (such as is described with reference to FIG. 6). The functions described can also be implemented by a computer program (such as is described with reference to FIG. 7). The method 200 may be performed by an apparatus 10, which may be embodied in a UE. In the following example, the method is described from the perspective of being performed by a UE 110. In block 201, the UE 110 receives, from an LMF 140, configuration information 202 for configuring the UE to perform one or more measurements of one or more PRSs 203. The configuration information comprises an indication of a set of PRS resources 204 for use in performing the measurement(s) of the PRS(s). The configuration information may configure the UE to perform one or more aggregated PRS positioning measurements. The set of PRS resources may comprise frequency domain resources, for instance at least one set of positioning frequency layers, PFLs. The set of PFLs may be indicated to the UE, or the UE may be configured with the set of PFLS, by the LMF. The PRS(s) may comprise at least one of the following: at least one aggregated PRS (for example, wherein a PRS sequence for each PFL is generated independently. These different PRS sequences from PFLs are aggregated to form the aggregated PRS); at least one bandwidth aggregated PRS (for example, wherein a long PRS sequence is generated taking into account the aggregated BW of the aggregated PFLs. At the transmitter(s), the long PRS sequence is divided into subsequences and each subsequence is transmitted through different PFLs); or a sidelink, SL, PRS. In block 205, the UE determines a subset 204’ of the set of PRS resources. The determination is based at least in part on a sampling rate capability of the apparatus. The subset PRS resources may comprises subset of the set of PFLs. For instance, with reference to FIG. 3, a subset 204’ of the set 204 of PRS resources is determined. In this regard, from the set of 4 PFLs: 204_11, 204_12, 204_13 and 204_14, a subset of PFLs is determined, i.e. 3 PFLs: 204_11, 204_12, 204_14 In this regard, the UE may determine whether there are any subsets of the set of PRS resources for which the UE’s baseband sampling rate would be the same. The method of such a determination may be similar to that described in detail above with regards to calculating required baseband sampling rates for two and three PFLs). Then, for any subsets for which the UE’s sampling rate would be the same as for the entire set of PRS resources, the UE selects the subset that provides the highest BW (i.e. the highest aggregate BW from the aggregate of the BWs from each PRS resource from the subset of PRS resources). In block 206, the UE performs one or more measurements of the one or more PRSs using the subset of PRS resources. In this regard, the measurement of block 206 may comprise: measuring at least one aggregated PRS; measuring at least one bandwidth aggregated PRS; or 25 measuring using aggregated PRS resources. In this regard, UE receives the one or more PRSs from one or more network nodes (not shown in FIG 1 but shown with respect to step 8 of FIG. 4 and step 5 of FIG. 5). The PRS(s) may be transmitted by, not least for example one or more BSs and / or one or more other UEs (such as for SL positioning). The one or more network nodes may have previously been duly configured, by the LMF, to transmit the one or more PRSs. In some examples (such as is shown with respect to steps 1, 6 and 7 of FIG. 4), the one or more network nodes are configured, by the LMF, to transmit the one or more PRSs using the subset of PRS resources (i.e. an initially configuration to use the set of PRS resources [such as is shown with respect to step 1 of FIG. 4] is reconfigured [such as is shown with respect to step 6 of FIG. 4] to use the subset of PRS resources in the transmission of the PRSs [such as is shown with respect to step 7 of FIG. 4], The UE then measures the received PRSs using the subset of PRS resources (i.e. as compared to using the full set of PRS resources). Alternatively, (such as is shown with respect to steps 1 and 5 of FIG. 4), the one or more network nodes are configured, by the LMF, to transmit the one or more PRSs using the set of PRS resources [such as is shown with respect to step 1 of FIG. 5] and the one or more network nodes transmits the PRSs using the set of PRS resources. The UE may then measure the received PRSs using just subset of PRS resources (i.e. as compared to using the full set of PRS resources). In block 207, the UE sends, to the LMF, information 209 reporting the one or more PRS measurements. The reporting information may be sent to the LMF for enabling the LMF to determine a position estimate of the UE. In some examples (not shown in FIG 1 but shown with respect to step 5 of FIG. 4 and step 7 of FIG. 5), the UE may send, to the LMF, information indicative of the subset of PRS resources determined in step 205. In some examples, (such as is discussed further below and shown in FIG. 4 with respect to step 5 thereof), the indication is sent responsive to / directly following on from the determination of block 205. In this regard, the sending of the indication is triggered by the determination of block 205. Responsive to receiving the indication of the subset, the LMF may then send, to the UE, an indication to perform one or more measurements on the one or more PRSs using the subset of PRS resources (i.e. instead of performing the measurement(s) on the set of PRS resources) - such as is discussed further below and shown and FIG. 4 with respect to step 7 thereof. The performance of the measuring step in block 206 may be based on the received indication to perform one or more measurements on the one or more PRSs using the subset of PRS resources. Alternatively, in some examples (such as is discussed further below and shown in FIG. 5 with respect to step 7 thereof), the indication of the subset of PRS resources determined in step 205 is included in the report 208 of PRS measurements sent in block 207. In this regard, the sending of the indication may be responsive to / triggered by the performance of the measuring in block 206. In some examples (such as is discussed further below and shown in FIG. 4 with respect to step 3 thereof, and FIG. 5 with respect to step 3 thereof), the UE receives, from the LMF, an indication or request to perform one or more measurements of the one or more PRSs using the set of PRS resources. The determination in block 205 may then be performed / triggered in response to the received indication / request to perform the measurement(s) of the PRS(s) using the set of PRS resources. In some examples (such as is discussed further below and shown in FIG. 5 with respect to steps 3 and 6 thereof), the UE receives, from the LMF, an indication or request to perform one or more measurements of the one or more PRSs using the set of PRS resources. However, rather than performing the measurement(s) of the PRS(s) using the set of PRS resources, instead the UE performs (in block 206) measurement(s) of the PRS(s) using the subset of PRS resources determined in block 205. The determination in block 205 may then be performed / triggered in response to the received indication / request to perform the measurement(s) of the PRS(s) using the set of PRS resources. In some examples, instead of the determining step of block 205 being performed by the UE, the determining step of block 205 may be performed by the LMF (and moreover, it may be performed by the LMF prior to the LMF sending the configuration information in block 201 of FIG. 2. In this regard, prior to the sending of configuration information in block 201, the UE may send, to the LMF, information indicative of a sampling rate capability of the UE. The LMF may then use the capability information to determine a subset of PRS resources based on the UE’s sampling rate capability. Then, the configuration information sent in block 202, which configures the UE to perform one or more measurements of one or more PRSs 203, may comprise an indication of the subset of PRS resources 204’ (determined by the LMF) for use in performing the measurement(s) of the PRS(s). The LMF may send, to at least one network node, configuration information for configuring the network node(s) to send, to the UE, a PRS; wherein the configuration information comprises an indication of the subset of PRS resources determined by the LMF. The LMF may send, to the UE, an indication to perform measurement s) of the at least one PRS using the at least one subset of PRS resources determined by the LMF. FIG. 4 schematically illustrates a signaling diagram / method in accordance with an example of the subject matter described herein. The method permits a UE to determine and report optimum PFLs (i.e. a subset of a set of PFLS) for PRS aggregation measurements. FIG. 4 can be considered to illustrate a plurality of methods, in the sense that FIG. 4 can be considered to illustrate one or more actions performed by / at a plurality of actors / entities (i.e. UE 110, LMF 140 and network entities [indicated in the figures as being BSs 120, but which could in other examples comprise another UE such as where SL positioning is being performed]). FIG. 4 can therefore be considered to illustrate a plurality of individual methods performed by each respective individual actor / entity of the plurality of the actors / entities. One or more of the features discussed in relation to FIG. 4 can be found in one or more of the other FIGs. During discussion of FIG. 4, reference will be made to other FIGs and their reference numerals for the purposes of explanation. In step 1, there is an exchange of configuration information wherein the LMF configures a serving BS and a neighboring BS with a set of PRS resources 204 comprising a set of PFLs, namely p-PFLS. In this regard, the BSs are configured for PRS aggregation for positioning measurement using p-PFLs. In step 2, the LMF provides assistance data to a UE 110. In this regard, the UE is configured, by the LMF, for PRS aggregation for positioning measurement using p-PFLs. The configuration information may comprise not least: linkage information of the p-PFLs for PRS aggregation, and / or PRS configurations. The LMF may also provide other assistance information required to measure PRS (not least for example, a reference BS ID for RSTD, an expected RSTD, etc. TS 38.305, TS37.355 set out details concerning further information that may be provided in the assistance information). In step 3, the LMF sends a request to the UE to perform positioning measurements using a set of p-PFLs (e.g. 3 PFLs). In step 4, the UE determines, based on the UE’s supported sampling rate, whether there is any redundancy (in terms of a sampling rate achieved by the UE) within the configured p-PFL’s bandwidth of each BS. In other words, the UE determines an optimal subset of PFLs (e.g. 2 PFLS out of the 3 PFLs), i.e. whether the same channel sampling rate can be achieved if a subset of PFLs is used, e.g. (p-o)-PFLs are used - where ‘o’ is a number of additional PFLs that do not contribute / increase the overall sampling rate as compared to the sampling rate for the set of p-PFLs. If there is no redundancy (i.e. the sampling rate for (p-o)-PFLs is less than the sampling rate for p-PFLs), then the UE may proceed with positioning measurements in a conventional manner. However, if there is redundancy (i.e. the sampling rate for (p-o)-PFLs is the same as the sampling rate for p-PFLs), the following steps are performed. In step 5, the UE indicates the determined subset (p-o)-PFLs to the LFM. This may be effected via indicating, to the LMF, identifiers, IDs, of the PFLs of the subset. The UE thereby indicates to the LFM the determined subset (p-o)-PFLs which are optimum, in that they represent a subset of PFLs that do not compromise the channel sampling rate for PRS transmitted by each BS and which have a lowest aggregated BW. In step 6, the LMF requests each BS to release the PFL(s) / PRS resources which are redundant / ineffective (i.e. the “o” PFLs). In this regard, the LMF indicates to the BSs the o-PFLs that can be dropped / need not be used for transmitting PRSs. In step 7, the LMF requests the UE to perform positioning measurements using the subset of PFLs, i.e. (p-o)-PFLs. the LMF also indicates which of the set of PFLs (i.e. the “o” PFLs) are released from each BS. In step 8, the BSs transmit the PRSs using the subset (p-o)-PFLs. In step 9, the UE measures the received PRSs using the subset (p-o)-PFLs. In this regards the UE performs PRS aggregation measurements using the subset (p-o)-PFLs. In step 9, the UE reports the positioning measurements to the LMF. In step 10, the LMF uses the reported positioning measurements to estimate the position of the UE. The below tables show results from a simulation observation (Simulation assumption is from R4-2321461). scs (kHz) Carrier freq (GHz) PRS BW in RB per PFL Sampling rate (Tc) Rep # of samples # of PFLs RSTD (cell-1, cell-2) (-6, -13) dB / (-3, -13) dB RSTD (cell-1, cell-3) (-6, -13) dB / (-3, -13) dB 5% tile 95% tile 5% tile 95% tile 15 2 104 64 1 4 2 -16 16 -16 16 3 -16 16 -16 16 Table 1: PRS RSTD error for Additive White Gaussian Noise, AWGN, channel in Tc for SOS = 15kHz. Signal Power / (lnterference over thermal noise) Es / loT = (-6,-13,-13) dB SCS (kHz) Carrier freq (GHz) PRS BW in RB per PFL Sampling rate (Tc) Rep # of samples # of PFLs RSTD (cell-1, cell-2) (-3, -6) dB RSTD (cell-1, cell-3) (-3, -6) dB 5% tile 95% tile 5% tile 95% tile 15 2 104 64 1 2 2 -32 32 -32 32 3 -32 32 -32 32 Table 2: PRS RSTD error for AWGN channel in Tc for SCS = 15kHz. Es / loT = (-3, -6, -6) dB. The above tables show that there is no gain in the RSTD measurement accuracy by going from 2 to 3 PFLs for PRS aggregation (as there is no improvement in the channel sampling rate). This is due to the channel sampling rate Ts = 1 / (FFT-size *SCS) being the same for both 2 and 3 PFLs. FIG. 5 schematically illustrates a signaling diagram / method in accordance with another example of the subject matter described herein. This method is somewhat similar to that of FIG. 4 except that, after FIG. 4’s step 4, instead of reporting the determined subset consisting of an optimal combination of PFLs to the LMF, the UE simply uses the determined subset of optimal PFLs for the positioning measurement (i.e., the UE drops PFLs even though there is no collision, e.g. with a Synchronization Signal Block, SSB). In this example, the dropping of PFLs is based on determining whether a PFL is in the subset of optimal PFLs (as compared to the dropping of PFLs being based a determination of a collision of a scheduled transmission). The dropping of PFLs is done in order to reduce the processing complexity of UE in performing the positioning measurement. The UE then reports, to LMF, the adopted optimal subset of PFLs, along with the positioning measurements. FIG. 5 can be considered to illustrate a plurality of methods, in the sense that FIG. 5 can be considered to illustrate one or more actions performed by / at a plurality of actors / entities (i.e. UE 110, LMF 140 and network entities [indicated in the figures as being BSs 120, but which could in other examples comprise another UE such as where SL positioning is being performed]). FIG. 5 can therefore be considered to illustrate a plurality of individual methods performed by each respective individual actor / entity of the plurality of the actors / entities. One or more of the features discussed in relation to FIG. 5 can be found in one or more of the other FIGs, not least FIG. 4. In step 1, there is an exchange of configuration information similar to that of step 1 of FIG. 4, wherein the LMF configures a serving BS and a neighboring BS with a set of PRS resources 204 comprising a set of PFLs, namely p-PFLS. In step 2, the LMF provides assistance data to a UE 110 similar to that of step 2 of FIG. 4. In this regard, the UE is configured, by the LMF, for PRS aggregation for positioning measurement using p-PFLs. In step 3, the LMF sends a request to the UE to perform positioning measurements using the set of p-PFLs, similar to that of step 3 of FIG. 4. In step 4, the UE determines a subset of PFLs (e.g. 2 PFLS out of the 3 PFLs) similar to that of step 4 of FIG. 4. In step 5, the BSs transmit PRSs using the set p-PFLs. In step 6, the UE measures the received PRSs using the subset (p-o)-PFLs. In this regards the UE performs PRS aggregation measurements using the subset (p-o)-PFLs rather than the set p-PFLs. In step 7, the UE reports the positioning measurements to the LMF along with an indication of the subset (p-o)-PFLs. In step 8, the LMF uses the reported positioning measurements to estimate the position of the UE. FIG. 6 schematically illustrates a block diagram of an apparatus 10 for performing the methods, processes, procedures and signaling described in the present disclosure and illustrated in FIGs. 2, 4 and 5. In this regard the apparatus can perform the roles of: a UE 110, an LMF or a network entity (such as a BS 120 or another UE 110) in the methods illustrated and described methods. The component blocks of FIG. 6 are functional and the functions described can be performed by a single physical entity. The apparatus comprises a controller 11, which could be provided within a device such as a UE, an LMF or a network entity. The controller 11 can be embodied by a computing device, not least such as those mentioned above. In some, but not necessarily all examples, the apparatus can be embodied as a chip, chip set, circuitry or module, i.e. for use in any of the foregoing. As used here ‘module’ refers to a unit or apparatus that excludes certain parts / components that would be added by an end manufacturer or a user. Implementation of the controller 11 can be as controller circuitry. The controller 11 can be implemented in hardware alone, have certain aspects in software including firmware alone or can be a combination of hardware and software (including firmware). The controller 11 can be implemented using instructions that enable hardware functionality, for example, by using executable instructions of a computer program 14 in a general-purpose or special-purpose processor 12 that can be stored on a computer readable storage medium 13, for example memory, or disk etc, to be executed by such a processor 12. The processor 12 is configured to read from and write to the memory 13. The processor 12 can also comprise an output interface via which data and / or commands are output by the processor 12 and an input interface via which data and / or commands are input to the processor 12. The apparatus can be coupled to or comprise one or more other components 15 (not least for example: a radio transceiver, sensors, input / output user interface elements and / or other modules / devices / components for inputting and outputting data / commands). The memory 13 stores instructions such as a computer program 14 comprising such instructions (e.g. computer program instructions / code) that controls the operation of the apparatus 10 when loaded into the processor 12. The instructions of the computer program 14, provide the logic and routines that enables the apparatus to perform the methods, processes and procedures described in the present disclosure and illustrated in FIGs. 4 to 9. The processor 12 by reading the memory 13 is able to load and execute the computer program 14. The instructions may be comprised in a computer program, a non-transitory computer readable medium, a computer program product, a machine readable medium. The term “non-transitory,” as used herein, is a limitation of the medium itself (i.e. tangible, not a signal) as opposed to a limitation on data storage persistency (e.g. RAM vs. ROM). In some but not necessarily all examples, the computer program instructions may be distributed over more than one computer program. Although the memory 13 is illustrated as a single component / circuitry it can be implemented as one or more separate components / circuitry some or all of which can be integrated / removable and / or can provide permanent / semi-permanent / dynamic / cached storage. Although the processor 12 is illustrated as a single component / circuitry it can be implemented as one or more separate components / circuitry some or all of which can be integrated / removable. The processor 12 can be a single core or multi-core processor. The apparatus can include one or more components for effecting the methods, processes and procedures described in the present disclosure and illustrated in FIGs. 2, 4 and 5. It is contemplated that the functions of these components can be combined in one or more components or performed by other components of equivalent functionality. The description of a function should additionally be considered to also disclose any means suitable for performing that function. Where a structural feature has been described, it can be replaced by means for performing one or more of the functions of the structural feature whether that function or those functions are explicitly or implicitly described. Although examples of the apparatus have been described above in terms of comprising various components, it should be understood that the components can be embodied as or otherwise controlled by a corresponding controller or circuitry such as one or more processing elements or processors of the apparatus. In this regard, each of the components described above can be one or more of any device, means or circuitry embodied in hardware, software or a combination of hardware and 34 software that is configured to perform the corresponding functions of the respective components as described above. The apparatus can, for example, be a client device, a server device, a UE, a mobile cellular telephone, an LMF, a location server, a base station in a mobile cellular telecommunication system, a wireless communications device, a hand-portable electronic device, a location / position tag, a hyper tag etc. The apparatus can be embodied by a computing device, not least such as those mentioned above. However, in some examples, the apparatus can be embodied as a chip, chip set, circuitry or module, i.e. for use in any of the foregoing. In one example, the apparatus is embodied on a hand held portable electronic device, such as a mobile telephone, mobile communication device, wearable computing device or personal digital assistant, that can additionally provide one or more audio / text / video communication functions (for example tele-communication, video-communication, and / or text transmission (Short Message Service (SMS) / Multimedia Message Service (MMS) / emailing) functions), interactive / non-interactive viewing functions (for example web-browsing, navigation, TV / program viewing functions), music recording / playing functions (for example Moving Picture Experts Group-1 Audio Layer 3 (MP3) or other format and / or (frequency modulation / amplitude modulation) radio broadcast recording / playing), downloading / sending of data functions, image capture function (for example using a (for example in-built) digital camera), and gaming functions, or any combination thereof. In some examples (such as wherein the apparatus is provided within a UE 110), the apparatus 10 comprises: at least one processor 12; and at least one memory 13 storing instructions that, when executed by the at least one processor 12, cause the apparatus at least to: receive, from a location server, configuration information for configuring the apparatus to perform at least one measurement of at least one positioning reference signal, PRS, wherein the configuration information comprises at least one indication of at least one set of PRS resources for use in performing the at least one measurement of the at least one PRS; determine at least one subset of the at least one set of PRS resources, wherein the determination is based at least in part on at least one sampling rate capability of the apparatus; perform at least one measurement of the at least one PRS using the at least one subset of PRS resources; and send, to the location server, reporting information for reporting the at least one measurement of the at least one PRS. In some examples (such as wherein the apparatus is provided within an LMF 140), the apparatus 10 comprises: at least one processor 12; and at least one memory 13 storing instructions that, when executed by the at least one processor 12, cause the apparatus at least to: receive, from at least one user equipment, UE, information indicative of at least one sampling rate capability of the at least one UE; determine at least one subset of at least one set of positioning reference signal, PRS, resources, wherein the determination is based at least in part on the at least one sampling rate capability; send, to the at least one UE, configuration information for configuring the at least one UE to perform at least one measurement on at least one PRS wherein the configuration information comprises at least one indication of the at least one subset of PRS resources; and receive, from the at least one UE, reporting information for reporting the at least one measurement of the at least one PRS using the at least one subset of PRS resources. The above described examples find application as enabling components of: telecommunication systems; tracking systems, automotive systems; electronic systems including consumer electronic products; distributed computing systems; media systems for generating or rendering media content including audio, visual and audio visual content and mixed, mediated, virtual and / or augmented reality; personal systems including personal health systems or personal fitness systems; navigation systems; user interfaces also known as human machine interfaces; networks including cellular, non-cellular, and optical networks; ad-hoc networks; the internet; the internet of things (IOT); Vehicle-to-everything (V2X), virtualized networks; and related software and services. The apparatus can be provided in an electronic device, for example, a mobile terminal, according to an example of the present disclosure. It should be understood, however, that a mobile terminal is merely illustrative of an electronic device that would benefit from examples of implementations of the present disclosure and, therefore, should not be taken to limit the scope of the present disclosure to the same. While in certain implementation examples, the apparatus can be provided in a mobile terminal, other types of electronic devices, such as, but not limited to: mobile communication devices, hand portable electronic devices, wearable computing devices, portable digital assistants (PDAs), pagers, mobile computers, desktop computers, televisions, gaming devices, laptop computers, cameras, video recorders, GPS devices and other types of electronic systems, can readily employ examples of the present disclosure. Furthermore, devices can readily employ examples of the present disclosure regardless of their intent to provide mobility. FIG.7, illustrates a computer program 14 which may be conveyed via a delivery mechanism 20. The delivery mechanism 20 can be any suitable delivery mechanism, for example, a machine readable medium, a computer-readable medium, a non-transitory computer-readable storage medium, a computer program product, a memory device, a solid-state memory, a record medium such as a Compact Disc Read-Only Memory (CD-ROM) or a Digital Versatile Disc (DVD) or an article of manufacture that comprises or tangibly embodies the computer program 14. The delivery mechanism can be a signal configured to reliably transfer the computer program. An apparatus can receive, propagate or transmit the computer program as a computer data signal. In certain examples of the present disclosure, there is provided a computer program comprising instructions, which when executed by an apparatus (e.g. UE 110), cause the apparatus to perform at least the following or for causing performing at least the following: receive, from a location server, configuration information for configuring the apparatus to perform at least one measurement of at least one positioning reference signal, PRS, wherein the configuration information comprises at least one indication of at least one set of PRS resources for use in performing the at least one measurement of the at least one PRS; determine at least one subset of the at least one set of PRS resources, wherein the determination is based at least in part on at least one sampling rate capability of the apparatus; perform at least one measurement of the at least one PRS using the at least one subset of PRS resources; and send, to the location server, reporting information for reporting the at least one measurement of the at least one PRS. In certain examples of the present disclosure, there is provided a computer program comprising instructions, which when executed by an apparatus (e.g. LMF 140), cause the apparatus to perform at least the following or for causing performing at least the following: receive, from at least one user equipment, UE, information indicative of at least one sampling rate capability of the at least one UE; determine at least one subset of at least one set of positioning reference signal, PRS, resources, wherein the determination is based at least in part on the at least one sampling rate capability; send, to the at least one UE, configuration information for configuring the at least one UE to perform at least one measurement on at least one PRS wherein the configuration information comprises at least one indication of the at least one subset of PRS resources; and receive, from the at least one UE, reporting information for reporting the at least one measurement of the at least one PRS using the at least one subset of PRS resources. References to ‘computer program’, ‘computer-readable storage medium’, ‘computer program product’, ‘tangibly embodied computer program’ etc. or a ‘controller’, ‘computer’, ‘processor’ etc. should be understood to encompass not only computers having different architectures such as single / multi- processor architectures and sequential (Von Neumann) / parallel architectures but also specialized circuits such as field-programmable gate arrays (FPGA), application specific circuits (ASIC), signal processing devices and other devices. References to computer program, instructions, code etc. should be understood to encompass software for a programmable processor or firmware such as, for example, the programmable content of a hardware device whether instructions for a processor, or configuration settings for a fixed-function device, gate array or programmable logic device etc. As used in this application, the term ‘circuitry’ can refer to one or more or all of the following: (a) hardware-only circuitry 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 (for example firmware) for operation, but the software may not be present when it is not needed for operation. 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 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 for a mobile device or a similar integrated circuit in a server, a cellular network device, or other computing or network device. Although various examples of the present disclosure have been described in the preceding paragraphs, it should be appreciated that modifications to the examples given can be made without departing from the scope of the invention as set out in the claims. The blocks illustrated in FIGs. 2, 4 and 5 can represent actions in a method, functionality performed by an apparatus, and / or sections of instructions / code in a computer program. It will be understood that each block and combinations of blocks illustrated in FIGs. 2, 4 and 5, as well as the further functionality described above, can be implemented by various means, such as hardware, firmware, and / or software including one or more computer program instructions. For example, one or more of the functions described above can be performed by a duly configured apparatus (such as an apparatus [as shown in FIG. 6] comprising means for performing the above described functionality). One or more of the functions / functionality described above can be embodied by a duly configured computer program (such as a computer program [as shown in FIG. 7] comprising computer program instructions which embody the functions / functionality described above and which can be stored by a memory storage device and performed by a processor). As will be appreciated, any such computer program instructions can be loaded onto a computer or other programmable apparatus (i.e. hardware) to produce a machine, such that the instructions when performed on the programmable apparatus create means for implementing the functions / functionality specified in the blocks. These computer program instructions can also be stored in a computer-readable medium that can direct a programmable apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the blocks. The computer program instructions can also be loaded onto a programmable apparatus to cause a series of operational actions to be performed on the programmable apparatus to produce a computer-implemented process such that the instructions which are performed on the programmable apparatus provide actions for implementing the functions / functionality specified in the blocks. Various, but not necessarily all, examples of the present disclosure can take the form of a method, an apparatus, or a computer program. Accordingly, various, but not necessarily all, examples can be implemented in hardware, software or a combination of hardware and software. Various, but not necessarily all, examples of the present disclosure are described using flowchart illustrations and schematic block diagrams. It will be understood that each block (of the flowchart illustrations and block diagrams), and combinations of blocks, can be implemented by computer program instructions of a computer program. These program instructions can be provided to one or more processor(s), processing circuitry or controller(s) such that the instructions which execute on the same create means for causing implementing the functions specified in the block or blocks, i.e. such that the method can be computer implemented. The computer program instructions can be executed by the processor(s) to cause a series of operational block / steps / actions to be performed by the processor(s) to produce a computer implemented process such that the instructions which execute on the processor(s) provide block / steps for implementing the functions specified in the block or blocks. Accordingly, the blocks support: combinations of means for performing the specified functions; combinations of actions for performing the specified functions; and computer program instructions / algorithm for performing the specified functions. It will also be understood that each block, and combinations of blocks, can be implemented by special purpose hardware-based systems which perform the specified functions or actions, or combinations of special purpose hardware and computer program instructions. Various, but not necessarily all, examples of the present disclosure provide both a method and corresponding apparatus comprising various modules, means or circuitry that provide the functionality for performing / applying the actions of the method. The modules, means or circuitry can be implemented as hardware, or can be implemented as software or firmware to be performed by a computer processor. In the case of firmware or software, examples of the present disclosure can be provided as a computer program product including a computer readable storage structure embodying computer program instructions (i.e. the software or firmware) thereon for performing by the computer processor. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation. Features described in the preceding description can be used in combinations other than the combinations explicitly described. Although functions have been described with reference to certain features, those functions can be performable by other features whether described or not. Although features have been described with reference to certain examples, those features can also be present in other examples whether described or not. Accordingly, features described in relation to one example / aspect of the disclosure can include any or all of the features described in relation to another example / aspect of the disclosure, and vice versa, to the extent that they are not mutually inconsistent. The term ‘comprise’ is used in this document with an inclusive not an exclusive meaning. That is any reference to X comprising Y indicates that X can comprise only one Y or can comprise more than one Y. If it is intended to use ‘comprise’ with an exclusive meaning then it will be made clear in the context by referring to “comprising only one ...” or by using “consisting”. In this description, the wording ‘connect’, ‘couple’ and ‘communication’ and their derivatives mean operationally connected / coupled / in communication. It should be appreciated that any number or combination of intervening components can exist (including no intervening components), i.e. so as to provide direct or indirect connection / coupling / communication. Any such intervening components can include hardware and / or software components. As used herein, the term "determine / determining" (and grammatical variants thereof) can include, not least: evaluating, calculating, computing, processing, deriving, measuring, investigating, identifying, looking up (for example, looking up in a table, a database or another data structure), ascertaining and the like. Also, "determining" can include receiving (for example, receiving information), retrieving / accessing (for example, retrieving / accessing data in a memory), obtaining and the like. Also," determine / determining" can include resolving, selecting, choosing, establishing, inferring and the like. As used herein, a description of an action should also be considered to disclose enabling, and / or causing, and / or controlling that action. For example, a description of transmitting information should also be considered to disclose enabling, and / or causing, and / or controlling transmitting information. Similarly, for example, a description of an apparatus transmitting information should also be considered to disclose at least one means or controller of the apparatus enabling, and / or causing, and / or controlling the apparatus to transmit the information.” The term “means” as used in the description and in the claims may refer to one or more individual elements configured to perform the corresponding recited functionality or functionalities, or it may refer to several elements that perform such functionality or functionalities. Furthermore, several functionalities recited in the claims may be performed by the same individual means or the same combination of means. For example performing such functionality or functionalities may be caused in an apparatus by a processor that executes instructions stored in a memory of the apparatus. References to a parameter, or value of a parameter, should be understood to refer to “data indicative of’, “data defining” or “data representative of’ the relevant parameter / parameter value if not explicitly stated (unless the context demands otherwise). The data may be in any way indicative of the relevant parameter / parameter value, and may be directly or indirectly indicative thereof. In this description, reference has been made to various examples. The description of features or functions in relation to an example indicates that those features or functions are present in that example. The use of the term ’example’ or ‘for example’, ‘can’ or ‘may’ in the text denotes, whether explicitly stated or not, that such features or functions are present in at least the described example, whether described as an example or not, and that they can be, but are not necessarily, present in some or all other examples. Thus ‘example’, ‘for example’, ‘can’ or ‘may’ refers to a particular instance in a class of examples. A property of the instance can be a property of only that instance or a property of the class or a property of a sub-class of the class that includes some but not all of the instances in the class. In this description, references to “a / an / the” [feature, element, component, means ...] are used with an inclusive not an exclusive meaning and are to be interpreted as “at least one” [feature, element, component, means ...] unless explicitly stated otherwise. That is any reference to X comprising a / the Y indicates that X can comprise only one Y or can comprise more than one Y unless the context clearly indicates the contrary. If it is intended to use ‘a’ or ‘the’ with an exclusive meaning then it will be made clear in the context. In some circumstances the use of ‘at least one’ or ‘one or more’ can be used to emphasise an inclusive meaning but the absence of these terms should not be taken to infer any exclusive meaning. As used herein, “at least one of the following: ” and “at least one of ” and similar wording, where the list of two or more elements are joined by “and” or “or”, mean at least any one of the elements, or at least any two or more of the elements, or at least all the elements. The presence of a feature (or combination of features) in a claim is a reference to that feature (or combination of features) itself and also to features that achieve substantially the same technical effect (equivalent features). The equivalent features include, for example, features that are variants and achieve substantially the same result in substantially the same way. The equivalent features include, for example, 43 features that perform substantially the same function, in substantially the same way to achieve substantially the same result. In this description, reference has been made to various examples using adjectives or adjectival phrases to describe characteristics of the examples. Such a description of a characteristic in relation to an example indicates that the characteristic is present in some examples exactly as described and is present in other examples substantially as described. In the above description, the apparatus described can alternatively or in addition comprise an apparatus which in some other examples comprises a distributed system of apparatus, for example, a client / server apparatus system. In examples where an apparatus provided forms (or a method is implemented as) a distributed system, each apparatus forming a component and / or part of the system provides (or implements) one or more features which collectively implement an example of the present disclosure. In some examples, an apparatus is re-configured by an entity other than its initial manufacturer to implement an example of the present disclosure by being provided with additional software, for example by a user downloading such software, which when executed causes the apparatus to implement an example of the present disclosure (such implementation being either entirely by the apparatus or as part of a system of apparatus as mentioned hereinabove). The above description describes some examples of the present disclosure however those of ordinary skill in the art will be aware of possible alternative structures and method features which offer equivalent functionality to the specific examples of such structures and features described herein above and which for the sake of brevity and clarity have been omitted from the above description. Nonetheless, the above description should be read as implicitly including reference to such alternative structures and method features which provide equivalent functionality unless such alternative structures or method features are explicitly excluded in the above description of the examples of the present disclosure. Whilst endeavouring in the foregoing specification to draw attention to those features of examples of the present disclosure believed to be of particular importance it should be understood that the applicant claims protection in respect of any 44 patentable feature or combination of features hereinbefore referred to and / or shown in the drawings whether or not particular emphasis has been placed thereon. The examples of the present disclosure and the accompanying claims can be suitably combined in any manner apparent to one of ordinary skill in the art. Separate references to an “example”, “in some examples” and / or the like in the description do not necessarily refer to the same example and are also not mutually exclusive unless so stated and / or except as will be readily apparent to those skilled in the art from the description. For instance, a feature, structure, process, block, step, action, or the like described in one example may also be included in other examples, but is not necessarily included. Each and every claim is incorporated as further disclosure into the specification and the claims are embodiment(s) of the present disclosure. Further, while the claims herein are provided as comprising specific dependencies, it is contemplated that any claims can depend from any other claims and that to the extent that any alternative embodiments can result from combining, integrating, and / or omitting features of the various claims and / or changing dependencies of claims, any such alternative embodiments and their equivalents are also within the scope of the disclosure.

Claims

1. An apparatus comprising:means for receiving, from a location server, configuration information for configuring the apparatus to perform at least one measurement of at least one positioning reference signal, PRS, wherein the configuration information comprises at least one indication of at least one set of PRS resources for use in performing the at least one measurement of the at least one PRS;means for determining at least one subset of the at least one set of PRS resources, wherein the determination is based at least in part on at least one sampling rate capability of the apparatus;means for performing at least one measurement of the at least one PRS using the at least one subset of PRS resources; andmeans for sending, to the location server, reporting information for reporting the at least one measurement of the at least one PRS.

2. The apparatus of claim 1, further comprising:means for sending, to the location server, at least one indication of the at least one subset of PRS resources.

3. The apparatus of claim 2, wherein the sending of the at least one indication of the at least one subset of PRS resources is based at least in part on the determination of the at least one subset of the at least one set of PRS resources.

4. The apparatus of any previous claim, further comprising:means for receiving, from the location server, at least one indication to perform at least one measurement of the at least one PRS using the at least one subset of PRS resources.

5. The apparatus of claim 4, wherein receiving the at least one indication to perform at least one measurement of the at least one PRS using the at least one subset of PRS resources is based at least in part on sending the at least one indication of the at least one subset of PRS resources to the location server.

6. The apparatus of claim 4 or 5, wherein the performing of the at least one measurement of the at least one PRS using the at least one subset of PRS resources is based at least in part on one or more of the following:the at least one indication to perform at least one measurement of the at least one PRS using the at least one subset of PRS resources, orthe determination of the at least one subset of the at least one set of PRS resources.

7. The apparatus of claim 2, wherein the sending of the at least one indication of the at least one subset of PRS resources is based at least in part on the performing of the at least one measurement of the at least one PRS.

8. The apparatus of claim 7, further comprising:means for receiving, from the location server, at least one indication to perform at least one measurement of the at least one PRS using the at least one set of PRS resources.

9. The apparatus of claim 8, wherein the determination is triggered based at least in part on the receipt of the at least one indication to perform at least one measurement of the at least one PRS using the at least one set of PRS resources.

10. The apparatus of claim 8 or 9, wherein the performing of the at least one measurement of the at least one PRS using the at least one subset of PRS resources is based at least in part on the at least one indication to perform at least one measurement of the at least one PRS using the at least one subset of PRS resources.

11. The apparatus of any previous claim, further comprising means for receiving, from at least one network node, the at least one PRS.

12. The apparatus of any previous claim, wherein the configuration information configures the apparatus to perform at least one aggregated PRS positioning measurement.

13. The apparatus of any previous claim, wherein the at least one PRS comprises at least one of the following:at least one aggregated PRS;at least one bandwidth aggregated PRS; or a sidelink, SL, PRS.

14. The apparatus of any previous claim, wherein the measurement of the at least one PRS comprises at least one of the following:measuring at least one aggregated PRS;measuring at least one bandwidth aggregated PRS; or measuring using aggregated PRS resources.

15. The apparatus of claim any previous claim, wherein:the at least one set of PRS resources comprises at least one set of positioning frequency layers, PFLs; andthe at least one subset of the at least one set of PRS resources comprises at least one subset of the set of PFLs.

16. The apparatus of any previous claim, wherein the reporting information is sent to the location server for enabling the location server to determine at least one position estimate of the apparatus.

17. An apparatus comprising:means for receiving, from at least one user equipment, UE, information indicative of at least one sampling rate capability of the at least one UE;means for determining at least one subset of at least one set of positioning reference signal, PRS, resources, wherein the determination is based at least in part on the at least one sampling rate capability;means for sending, to the at least one UE, configuration information for configuring the at least one UE to perform at least one measurement on at least one PRS wherein the configuration information comprises at least one indication of the at least one subset of PRS resources; andmeans for receiving, from the at least one UE, reporting information for reporting the at least one measurement of the at least one PRS using the at least one subset of PRS resources.

18. The apparatus of claim 17, further comprising:means for sending, to the at least one UE, at least one indication to perform the at least one measurement of the at least one PRS using the at least one subset of PRS resources.

19. The apparatus of claim 17 or 18, further comprising means for sending, to at least one network node, configuration information for configuring the at least one network node to send, to the at least one UE, at least one PRS, wherein the configuration information comprises at least one indication of the at least one subset of PRS resources.

20. The apparatus of claim 17, further comprising:means for sending, to at least one network node, configuration information for configuring the at least one network node to send, to the at least one UE, at least one PRS, wherein the configuration information comprises at least one indication of at least one set of PRS resources;means for sending, to the at least one network node, at least one indication to release a second subset of PRS resources, wherein the second subset of PRS resources is based at least in part on the set of PRS resources and the subset of PRS resources.

Citation Information

Patent Citations

  • Frequency Hopped PRSs for Location Estimation of Reduced Capacity Devices

    US20240056242A1

  • Measurement and procedures for NR positioning

    WO2020206021A1

  • User equipment positioning

    WO2022122119A1