Registration of electronic shelf label location information in a database based on measurement reporting associated with a user equipment

Abstract

Aspects of the disclosure are directed to registration of electronic shelf label (ESL) location information in a database based on measurement reporting associated with a user equipment (UE). In an aspect, measurement report(s) received from wireless node(s) (e.g., UE(s) or ESL(s)), and used to determine a candidate ESL location range of an ESL. The candidate ESL location range of the ESL is registered in an ESL location database, and used to perform action(s). Such aspects may provide various technical advantages, such as improved ESL location accuracy which may facilitate various other functions (e.g., timely transmission of one or more product offers to one or more customers in a facility that houses the ESL, etc.).

Description

Qualcomm Ref. No. 2503655WO1 / 54REGISTRATION OF ELECTRONIC SHELF LABEL LOCATION INFORMATION IN A DATABASE BASED ON MEASUREMENT REPORTING ASSOCIATED WITH A USER EQUIPMENTCROSS-REFERENCE TO RELATED APPLICATIONS

[0001] The present Application for Patent claims priority to Greek Patent Application No.20250100234, entitled “REGISTRATION OF ELECTRONIC SHELF LABEL LOCATION INFORMATION IN A DATABASE BASED ON MEASUREMENT REPORTING ASSOCIATED WITH A USER EQUIPMENT,” filed March 27, 2025, which is assigned to the assignee hereof and expressly incorporated herein by reference in its entirety.BACKGROUND OF THE DISCLOSURE1. Field of the Disclosure

[0002] Aspects of the disclosure relate generally to wireless technologies.2. Description of the Related Art

[0003] Electronic shelf labels (ESLs) are used by retailers for displaying product pricing or other product information to consumers. ESLs typically use electronic paper (e-paper) or liquid crystal display (LCD) to display the current information. E-paper (also referred to as e- ink) is widely used for ESLs, as it provides a sharp display and supports full graphic imaging while only needing power during updates and no power to retain an image.

[0004] ESLs are increasingly being integrated with existing retail technologies, such as electronic article surveillance, digital signage, and people counters. For example, retailers can upload a floor plan of the sales area into the ESL management software. Consumers can then be tracked (in real time) through a network of people-counting devices, or via their personal BLUETOOTH® devices, in order to determine their position within the store at all times. This allows an individual customer to receive targeted, customized marketing initiatives, such as discounts, individual pricing, etc.QC2503655WOQualcomm Ref. No. 2503655WO2 / 54SUMMARY

[0005] The following presents a simplified summary relating to one or more aspects disclosed herein. Thus, the following summary should not be considered an extensive overview relating to all contemplated aspects, nor should the following summary be considered to identify key or critical elements relating to all contemplated aspects or to delineate the scope associated with any particular aspect. Accordingly, the following summary has the sole purpose to present certain concepts relating to one or more aspects relating to the mechanisms disclosed herein in a simplified form to precede the detailed description presented below.

[0006] In an aspect, a method performed by a network component includes receiving, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp; receiving, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp; determining a candidate ESL location range of an ESL based on the first measurement report and the second measurement report; registering the candidate ESL location range of the ESL in an ESL location database; and performing one or more actions based on the ESL location database.

[0007] In an aspect, a network component includes one or more memories; one or more transceivers; and one or more processors communicatively coupled to the one or more memories and the one or more transceivers, wherein the one or more processors, either alone or in combination, are configured to: receive, via the one or more transceivers, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp; receive, via the one or more transceivers, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp; determine a candidate ESL location range of an ESL based on the first measurement report and the second measurement report; register the candidate ESL location range of the ESL in an ESL location database; and perform one or more actions based on the ESL location database.

[0008] In an aspect, a network component includes means for receiving, from a first wireless node, a first measurement report comprising first measurement information associatedQC2503655WOQualcomm Ref. No. 2503655WO3 / 54with a first user equipment (UE) and a first timestamp; means for receiving, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp; means for determining a candidate ESL location range of an ESL based on the first measurement report and the second measurement report; means for registering the candidate ESL location range of the ESL in an ESL location database; and means for performing one or more actions based on the ESL location database.

[0009] In an aspect, a non-transitory computer-readable medium storing computer-executable instructions that, when executed by a network component, cause the network component to: receive, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp; receive, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp; determine a candidate ESL location range of an ESL based on the first measurement report and the second measurement report; register the candidate ESL location range of the ESL in an ESL location database; and perform one or more actions based on the ESL location database.

[0010] Other obj ects and advantages associated with the aspects disclosed herein will be apparent to those skilled in the art based on the accompanying drawings and detailed description.BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The accompanying drawings are presented to aid in the description of various aspects of the disclosure and are provided solely for illustration of the aspects and not limitation thereof.

[0012] FIG. 1 illustrates an example electronic shelf label (ESL) system, according to aspects of the disclosure.

[0013] FIG. 2 illustrates example components of an example ESL, according to aspects of the disclosure.

[0014] FIGS. 3A, 3B, and 3C are simplified block diagrams of several sample aspects of components that may be employed in a user equipment (UE), a base station, and a network entity, respectively, and configured to support communications as taught herein.QC2503655WOQualcomm Ref. No. 2503655WO4 / 54

[0015] FIG. 4 is a diagram illustrating an example electronic shelf label (ESL) deployment scenario, according to aspects of the disclosure.

[0016] FIG. 5 is a diagram illustrating an example positioning scenario using a weighted centroid algorithm, according to aspects of the disclosure.

[0017] FIG. 6 illustrates an example electronic tag, according to aspects of the disclosure.

[0018] FIG. 7 illustrates an example neural network, according to aspects of the disclosure.

[0019] FIG. 8A is a diagram illustrating an example of direct artificial intelligence / machine learning (AIML) positioning and / or sensing, according to aspects of the disclosure.

[0020] FIG. 8B is a diagram illustrating an example of AIML assisted positioning and / or sensing, according to aspects of the disclosure.

[0021] FIG. 8C illustrates various AIML positioning and / or sensing scenarios, according to aspects of the disclosure.

[0022] FIG. 9 illustrates an ELS deployment scenario, in accordance with an aspect of the disclosure.

[0023] FIG. 10 illustrates an exemplary process of communications according to an aspect of the disclosure.

[0024] FIG. 11 illustrates an ELS deployment scenario, in accordance with an aspect of the disclosure.DETAILED DESCRIPTION

[0025] Aspects of the disclosure are provided in the following description and related drawings directed to various examples provided for illustration purposes. Alternate aspects may be devised without departing from the scope of the disclosure. Additionally, well-known elements of the disclosure will not be described in detail or will be omitted so as not to obscure the relevant details of the disclosure.

[0026] Aspects of the disclosure are directed to registration of electronic shelf label (ESL) location information in a database based on measurement reporting associated with a user equipment (UE). In an aspect, measurement report(s) received from wireless node(s) (e.g., UE(s) or ESL(s)), and used to determine a candidate ESL location range of an ESL. The candidate ESL location range of the ESL is registered in an ESL location database, and used to perform action(s). Such aspects may provide various technical advantages, such as improved ESL location accuracy which may facilitate various other functionsQC2503655WOQualcomm Ref. No. 2503655WO5 / 54(e.g., timely transmission of one or more product offers to one or more customers in a facility that houses the ESL, etc.).

[0027] The words “exemplary” and / or “example” are used herein to mean “serving as an example, instance, or illustration.” Any aspect described herein as “exemplary” and / or “example” is not necessarily to be construed as preferred or advantageous over other aspects. Likewise, the term “aspects of the disclosure” does not require that all aspects of the disclosure include the discussed feature, advantage or mode of operation.

[0028] Those of skill in the art will appreciate that the information and signals described below may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the description below may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof, depending in part on the particular application, in part on the desired design, in part on the corresponding technology, etc.

[0029] Further, many aspects are described in terms of sequences of actions to be performed by, for example, elements of a computing device. It will be recognized that various actions described herein can be performed by specific circuits (e.g., application specific integrated circuits (ASICs)), by program instructions being executed by one or more processors, or by a combination of both. Additionally, the sequence(s) of actions described herein can be considered to be embodied entirely within any form of non- transitory computer-readable storage medium having stored therein a corresponding set of computer instructions that, upon execution, would cause or instruct an associated processor of a device to perform the functionality described herein. Thus, the various aspects of the disclosure may be embodied in a number of different forms, all of which have been contemplated to be within the scope of the claimed subject matter. In addition, for each of the aspects described herein, the corresponding form of any such aspects may be described herein as, for example, “logic configured to” perform the described action.

[0030] As used herein, the terms “user equipment” (UE) and “base station” are not intended to be specific or otherwise limited to any particular radio access technology (RAT), unless otherwise noted. In general, a UE may be any wireless communication device (e.g., a mobile phone, router, tablet computer, laptop computer, consumer asset locating device, wearable (e.g., smartwatch, glasses, augmented reality (AR) / virtual reality (VR) headset,QC2503655WOQualcomm Ref. No. 2503655WO6 / 54etc.), vehicle (e.g., automobile, motorcycle, bicycle, etc.), Internet of Things (loT) device, etc.) used by a user to communicate over a wireless communications network. A UE may be mobile or may (e.g., at certain times) be stationary, and may communicate with a radio access network (RAN). As used herein, the term “UE” may be referred to interchangeably as an “access terminal” or “AT,” a “client device,” a “wireless device,” a “subscriber device,” a “subscriber terminal,” a “subscriber station,” a “user terminal” or “UT,” a “mobile device,” a “mobile terminal,” a “mobile station,” or variations thereof. Generally, UEs can communicate with a core network via a RAN, and through the core network the UEs can be connected with external networks such as the Internet and with other UEs. Of course, other mechanisms of connecting to the core network and / or the Internet are also possible for the UEs, such as over wired access networks, wireless local area network (WLAN) networks (e.g., based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11 specification, etc.) and so on.

[0031] Electronic shelf labels (ESLs) are used by retailers for displaying product pricing or other product information to consumers. ESLs typically use electronic paper (e-paper) or liquid crystal display (LCD) to display the current information. E-paper (also referred to as e- ink) is widely used for ESLs, as it provides a sharp display and supports full graphic imaging while only needing power during updates and no power to retain an image, thereby significantly reducing power consumption.

[0032] ESLs are increasingly being integrated with existing retail technologies, such as electronic article surveillance, digital signage, and people counters. For example, retailers can upload a floor plan of the sales area into the ESL management software. Consumers can then be tracked (in real time) through a network of people-counting devices, or via their personal BLUETOOTH® devices, in order to determine their position within the store at all times. This allows an individual customer to receive targeted, customized marketing initiatives, such as discounts, individual pricing, etc.

[0033] FIG. 1 illustrates an example ESL system 100, according to aspects of the disclosure. An ESL system generally includes three components: label management software (e.g., running on a central management entity 110, such as a local server at the retail location or a cloud-based server), one or more wireless communication access points 120 (e.g., Wi-Fi access points), one or more rail controllers 130, and one or more (usually many) ESLs 140. The label management software is responsible for the configuration of theQC2503655WOQualcomm Ref. No. 2503655WO7 / 54system, configuration of the properties of the ESLs 140 themselves, and storing the database of information to be displayed by the ESLs 140. The software mainly covers the network management, file systems, and transmission of data. It also processes and packs the data to be displayed into packets of information. The data packets are then sent to one or more wireless communication access points 120 via a wireless network (e.g., Wi-Fi) for distribution to the ESLs 140 via the one or more rail controllers 130.

[0034] A wireless communication access point 120 is responsible for the stability and reliability of transmissions from the label management software (on the central management entity 110) to the ESLs 140. There may be multiple wireless communication access points 120 deployed in a single retail location based on the size of the space and / or the number of ESLs 140 deployed.

[0035] A wireless communication access point 120 communicates with one or more rail controllers 130 via a short-range wireless communications protocol, such as BLUETOOTH® Low Energy (BLE). A rail controller 130 may therefore include a BLE radio (or other short-range wireless communications protocol radio). A rail controller 130 may be powered by a battery (e.g., a lithium-ion battery) or a wired connection. A rail controller 130 is coupled to, or integrated into, a rail to which multiple ESLs 140 can be “clipped” or otherwise attached. Once clipped to the rail, each ESL 140 has a wired connection to the rail controller 130 (e.g., via a three-wire bus for power, ground, and data).

[0036] An ESL 140 functions as a receiver from the wireless communication access point 120 (via the rail controller 130) to display the information configured from the label management software. The ESL 140 then acts based on the instructions that were provided in the data packets from the label management software. An ESL 140 includes a display and optionally a camera. ESLs 140 generally do not include batteries, as they are typically powered by the rail to which they are attached. However, in some cases, an ESL 140 may be powered by a coin-cell battery, which may provide an operational life of eight to nine years. In some cases, an ESL 140 may not have a short-range wireless communications radio (e.g., a BLE radio), as it receives data from the wireless communication access point 120 via the wired rail connection to the rail controller 130.

[0037] An ESL application programming interface (API) is included in the current BLUETOOTH® specification and permits a 7-bit group identifier of 8-bit unique ESLQC2503655WOQualcomm Ref. No. 2503655WO8 / 54identifiers, allowing for a total of 32,640 ESLs 140 to be allocated for one wireless communication access point 120. With those constraints, multiple wireless communication access points 120 may be needed to cover a typical grocery store ESL application.

[0038] FIG. 2 illustrates example components of an example ESL 140, according to aspects of the disclosure. Note that in some cases, rather than an ESL 140 having its own wireless radio (e.g., a BLE radio) as shown in FIG. 2, multiple ESLs 140 may be attached (e.g., clipped) to a rail attached to a retail shelf. In this case, the rail (specifically a rail controller 130) contains the short-range wireless communications radio and the ESLs 140 have just the display. The radio controller 130 in the rail communicates locally to the clipped-on ESLs 140 over a wired protocol (the act of clipping on connects the ESLs 140 to the wires of the rail controller 130). As such, an ESL 140 itself may not have a radio but may connect locally to one (i.e., the rail controller 130).

[0039] FIGS. 3A, 3B, and 3C illustrate several example components (represented by corresponding blocks) that may be incorporated into a UE 302 (which may correspond to any of the UEs described herein), a base station 304 (which may correspond to any of the base stations or access points described herein), and a network entity 306 to support the operations described herein. It will be appreciated that these components may be implemented in different types of apparatuses in different implementations (e.g., in an ASIC, in a system-on-chip (SoC), etc.). The illustrated components may also be incorporated into other apparatuses in a communication system. For example, other apparatuses in a system may include components similar to those described to provide similar functionality. Also, a given apparatus may contain one or more of the components. For example, an apparatus may include multiple transceiver components that enable the apparatus to operate on multiple carriers and / or communicate via different technologies.

[0040] The UE 302 and the base station 304 each include one or more wireless wide area network (WWAN) transceivers 310 and 350, respectively, providing means for communicating (e.g., means for transmitting, means for receiving, means for measuring, means fortuning, means for refraining from transmitting, etc.) via one or more wireless communication networks (not shown), such as an NR network, an LTE network, a Global System for Mobile Communications (GSM) network, and / or the like. The WWAN transceivers 310 and 350 may each be connected to one or more antennas 316 and 356, respectively, forQC2503655WOQualcomm Ref. No. 2503655WO9 / 54communicating with other network nodes, such as other UEs, access points, base stations (e.g., eNBs, gNBs), etc., via at least one designated RAT (e.g., NR, LTE, GSM, etc.) over a wireless communication medium of interest (e.g., some set of time / frequency resources in a particular frequency spectrum). The WWAN transceivers 310 and 350 may be variously configured for transmitting and encoding signals 318 and 358 (e.g., messages, indications, information, and so on), respectively, and, conversely, for receiving and decoding signals 318 and 358 (e.g., messages, indications, information, pilots, and so on), respectively, in accordance with the designated RAT. Specifically, the WWAN transceivers 310 and 350 include one or more transmitters 314 and 354, respectively, for transmitting and encoding signals 318 and 358, respectively, and one or more receivers 312 and 352, respectively, for receiving and decoding signals 318 and 358, respectively.

[0041] The UE 302 and the base station 304 each also include, at least in some cases, one or more short-range wireless transceivers 320 and 360, respectively. The short-range wireless transceivers 320 and 360 may be connected to one or more antennas 326 and 366, respectively, and provide means for communicating (e.g., means for transmitting, means for receiving, means for measuring, means for tuning, means for refraining from transmitting, etc.) with other network nodes, such as other UEs, access points, base stations, etc., via at least one designated RAT (e.g., Wi-Fi, LTE Direct, BLUETOOTH®, ZIGBEE®, Z-WAVE®, PC5, dedicated short-range communications (DSRC), wireless access for vehicular environments (WAVE), near-field communication (NFC), ultra- wideband (UWB), etc.) over a wireless communication medium of interest. The short- range wireless transceivers 320 and 360 may be variously configured for transmitting and encoding signals 328 and 368 (e.g., messages, indications, information, and so on), respectively, and, conversely, for receiving and decoding signals 328 and 368 (e.g., messages, indications, information, pilots, and so on), respectively, in accordance with the designated RAT. Specifically, the short-range wireless transceivers 320 and 360 include one or more transmitters 324 and 364, respectively, for transmitting and encoding signals 328 and 368, respectively, and one or more receivers 322 and 362, respectively, for receiving and decoding signals 328 and 368, respectively. As specific examples, the short-range wireless transceivers 320 and 360 may be Wi-Fi transceivers, BLUETOOTH® transceivers, ZIGBEE® and / or Z-WAVE® transceivers, NFCQC2503655WOQualcomm Ref. No. 2503655WO10 / 54transceivers, UWB transceivers, or vehicle-to-vehicle (V2V) and / or vehicle-to- everything (V2X) transceivers.

[0042] The UE 302 and the base station 304 also include, at least in some cases, satellite signal receivers 330 and 370. The satellite signal receivers 330 and 370 may be connected to one or more antennas 336 and 376, respectively, and may provide means for receiving and / or measuring satellite positioning / communication signals 338 and 378, respectively. Where the satellite signal receivers 330 and 370 are satellite positioning system receivers, the satellite positioning / communication signals 338 and 378 may be global positioning system (GPS) signals, global navigation satellite system (GLONASS®) signals, Galileo signals, Beidou signals, Indian Regional Navigation Satellite System (NAVIC), QuasiZenith Satellite System (QZSS), etc. Where the satellite signal receivers 330 and 370 are non-terrestrial network (NTN) receivers, the satellite positioning / communication signals 338 and 378 may be communication signals (e.g., carrying control and / or user data) originating from a 5G network. The satellite signal receivers 330 and 370 may comprise any suitable hardware and / or software for receiving and processing satellite positioning / communication signals 338 and 378, respectively. The satellite signal receivers 330 and 370 may request information and operations as appropriate from the other systems, and, at least in some cases, perform calculations to determine locations of the UE 302 and the base station 304, respectively, using measurements obtained by any suitable satellite positioning system algorithm.

[0043] The base station 304 and the network entity 306 each include one or more network transceivers 380 and 390, respectively, providing means for communicating (e.g., means for transmitting, means for receiving, etc.) with other network entities (e.g., other base stations 304, other network entities 306). For example, the base station 304 may employ the one or more network transceivers 380 to communicate with other base stations 304 or network entities 306 over one or more wired or wireless backhaul links. As another example, the network entity 306 may employ the one or more network transceivers 390 to communicate with one or more base station 304 over one or more wired or wireless backhaul links, or with other network entities 306 over one or more wired or wireless core network interfaces.

[0044] A transceiver may be configured to communicate over a wired or wireless link. A transceiver (whether a wired transceiver or a wireless transceiver) includes transmitterQC2503655WOQualcomm Ref. No. 2503655WO11 / 54circuitry (e.g., transmitters 314, 324, 354, 364) and receiver circuitry (e.g., receivers 312, 322, 352, 362). A transceiver may be an integrated device (e.g., embodying transmitter circuitry and receiver circuitry in a single device) in some implementations, may comprise separate transmitter circuitry and separate receiver circuitry in some implementations, or may be embodied in other ways in other implementations. The transmitter circuitry and receiver circuitry of a wired transceiver (e.g., network transceivers 380 and 390 in some implementations) may be coupled to one or more wired network interface ports. Wireless transmitter circuitry (e.g., transmitters 314, 324, 354, 364) may include or be coupled to a plurality of antennas (e.g., antennas 316, 326, 356, 366), such as an antenna array, that permits the respective apparatus (e.g., UE 302, base station 304) to perform transmit “beamforming,” as described herein. Similarly, wireless receiver circuitry (e.g., receivers 312, 322, 352, 362) may include or be coupled to a plurality of antennas (e.g., antennas 316, 326, 356, 366), such as an antenna array, that permits the respective apparatus (e.g., UE 302, base station 304) to perform receive beamforming, as described herein. In an aspect, the transmitter circuitry and receiver circuitry may share the same plurality of antennas (e.g., antennas 316, 326, 356, 366), such that the respective apparatus can only receive or transmit at a given time, not both at the same time. A wireless transceiver (e.g., WWAN transceivers 310 and 350, short-range wireless transceivers 320 and 360) may also include a network listen module (NUM) or the like for performing various measurements.

[0045] As used herein, the various wireless transceivers (e.g., transceivers 310, 320, 350, and 360, and network transceivers 380 and 390 in some implementations) and wired transceivers (e.g., network transceivers 380 and 390 in some implementations) may generally be characterized as “a transceiver,” “at least one transceiver,” or “one or more transceivers.” As such, whether a particular transceiver is a wired or wireless transceiver may be inferred from the type of communication performed. For example, backhaul communication between network devices or servers will generally relate to signaling via a wired transceiver, whereas wireless communication between a UE (e.g., UE 302) and a base station (e.g., base station 304) will generally relate to signaling via a wireless transceiver.

[0046] The UE 302, the base station 304, and the network entity 306 also include other components that may be used in conjunction with the operations as disclosed herein. TheQC2503655WOQualcomm Ref. No. 2503655WO12 / 54UE 302, the base station 304, and the network entity 306 include one or more processors 332, 384, and 394, respectively, for providing functionality relating to, for example, wireless communication, and for providing other processing functionality. The processors 332, 384, and 394 may therefore provide means for processing, such as means for determining, means for calculating, means for receiving, means for transmitting, means for indicating, etc. In an aspect, the processors 332, 384, and 394 may include, for example, one or more general purpose processors, multi-core processors, central processing units (CPUs), ASICs, digital signal processors (DSPs), field programmable gate arrays (FPGAs), other programmable logic devices or processing circuitry, or various combinations thereof.

[0047] The UE 302, the base station 304, and the network entity 306 include memory circuitry implementing memories 340, 386, and 396 (e.g., each including a memory device), respectively, for maintaining information (e.g., information indicative of reserved resources, thresholds, parameters, and so on). The memories 340, 386, and 396 may therefore provide means for storing, means for retrieving, means for maintaining, etc. In some cases, the UE 302, the base station 304, and the network entity 306 may include Positioning component 342, 388, and 398, respectively. The Positioning component 342, 388, and 398 may be hardware circuits that are part of or coupled to the processors 332, 384, and 394, respectively, that, when executed, cause the UE 302, the base station 304, and the network entity 306 to perform the functionality described herein. In other aspects, the Positioning component 342, 388, and 398 may be external to the processors 332, 384, and 394 (e.g., part of a modem processing system, integrated with another processing system, etc.). Alternatively, the Positioning component 342, 388, and 398 may be memory modules stored in the memories 340, 386, and 396, respectively, that, when executed by the processors 332, 384, and 394 (or a modem processing system, another processing system, etc.), cause the UE 302, the base station 304, and the network entity 306 to perform the functionality described herein. FIG. 3A illustrates possible locations of the Positioning component 342, which may be, for example, part of the one or more WWAN transceivers 310, the memory 340, the one or more processors 332, or any combination thereof, or may be a standalone component. FIG. 3B illustrates possible locations of the Positioning component 388, which may be, for example, part of the one or more WWAN transceivers 350, the memory 386, the one or more processors 384, orQC2503655WOQualcomm Ref. No. 2503655WO13 / 54any combination thereof, or may be a standalone component. FIG. 3C illustrates possible locations of the Positioning component 398, which may be, for example, part of the one or more network transceivers 390, the memory 396, the one or more processors 394, or any combination thereof, or may be a standalone component.

[0048] The UE 302 may include one or more sensors 344 coupled to the one or more processors 332 to provide means for sensing or detecting movement and / or orientation information that is independent of motion data derived from signals received by the one or more WWAN transceivers 310, the one or more short-range wireless transceivers 320, and / or the satellite signal receiver 330. By way of example, the sensor(s) 344 may include an accelerometer (e.g., a micro-electrical mechanical systems (MEMS) device), a gyroscope, a geomagnetic sensor (e.g., a compass), an altimeter (e.g., a barometric pressure altimeter), and / or any other type of movement detection sensor. Moreover, the sensor(s) 344 may include a plurality of different types of devices and combine their outputs in order to provide motion information. For example, the sensor(s) 344 may use a combination of a multi-axis accelerometer and orientation sensors to assist in the computation of positions in two-dimensional (2D) and / or three-dimensional (3D) coordinate systems.

[0049] In addition, the UE 302 includes a user interface 346 providing means for providing indications (e.g., audible and / or visual indications) to a user and / or for receiving user input (e.g., upon user actuation of a sensing device such a keypad, a touch screen, a microphone, and so on). Although not shown, the base station 304 and the network entity 306 may also include user interfaces.

[0050] Referring to the one or more processors 384 in more detail, in the downlink, IP packets from the network entity 306 may be provided to the processor 384. The one or more processors 384 may implement functionality for a radio resource control (RRC) layer, a packet data convergence protocol (PDCP) layer, a radio link control (RLC) layer, and a medium access control (MAC) layer. The one or more processors 384 may provide RRC layer functionality associated with broadcasting of system information (e.g., master information block (MIB), system information blocks (SIBs)), RRC connection control (e.g., RRC connection paging, RRC connection establishment, RRC connection modification, and RRC connection release), inter-RAT mobility, and measurement configuration for UE measurement reporting; PDCP layer functionality associated withQC2503655WOQualcomm Ref. No. 2503655WO14 / 54header compression / decompression, security (ciphering, deciphering, integrity protection, integrity verification), and handover support functions; RLC layer functionality associated with the transfer of upper layer protocol data units (PDUs), error correction through automatic repeat request (ARQ), concatenation, segmentation, and reassembly of RLC service data units (SDUs), re-segmentation of RLC data PDUs, and reordering of RLC data PDUs; and MAC layer functionality associated with mapping between logical channels and transport channels, scheduling information reporting, error correction, priority handling, and logical channel prioritization.

[0051] The transmitter 354 and the receiver 352 may implement Layer- 1 (LI) functionality associated with various signal processing functions. Layer- 1, which includes a physical (PHY) layer, may include error detection on the transport channels, forward error correction (FEC) coding / decoding of the transport channels, interleaving, rate matching, mapping onto physical channels, modulation / demodulation of physical channels, and multiple input-multiple output (MIMO) antenna processing. The transmitter 354 handles mapping to signal constellations based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The coded and modulated symbols may then be split into parallel streams. Each stream may then be mapped to an orthogonal frequency division multiplexing (OFDM) subcarrier, multiplexed with a reference signal (e.g., pilot) in the time and / or frequency domain, and then combined together using an inverse fast Fourier transform (IFFT) to produce a physical channel carrying a time domain OFDM symbol stream. The OFDM symbol stream is spatially precoded to produce multiple spatial streams. Channel estimates from a channel estimator may be used to determine the coding and modulation scheme, as well as for spatial processing. The channel estimate may be derived from a reference signal and / or channel condition feedback transmitted by the UE 302. Each spatial stream may then be provided to one or more different antennas 356. The transmitter 354 may modulate a radio frequency (RF) carrier with a respective spatial stream for transmission.

[0052] At the UE 302, the receiver 312 receives a signal through its respective antenna(s) 316.The receiver 312 recovers information modulated onto an RF carrier and provides the information to the one or more processors 332. The transmitter 314 and the receiver 312 implement Layer-1 functionality associated with various signal processing functions. TheQC2503655WOQualcomm Ref. No. 2503655WO15 / 54receiver 312 may perform spatial processing on the information to recover any spatial streams destined for the UE 302. If multiple spatial streams are destined for the UE 302, they may be combined by the receiver 312 into a single OFDM symbol stream. The receiver 312 then converts the OFDM symbol stream from the time-domain to the frequency domain using a fast Fourier transform (FFT). The frequency domain signal comprises a separate OFDM symbol stream for each subcarrier of the OFDM signal. The symbols on each subcarrier, and the reference signal, are recovered and demodulated by determining the most likely signal constellation points transmitted by the base station 304. These soft decisions may be based on channel estimates computed by a channel estimator. The soft decisions are then decoded and de-interleaved to recover the data and control signals that were originally transmitted by the base station 304 on the physical channel. The data and control signals are then provided to the one or more processors 332, which implements Layer-3 (L3) and Layer-2 (L2) functionality.

[0053] In the downlink, the one or more processors 332 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, and control signal processing to recover IP packets from the core network. The one or more processors 332 are also responsible for error detection.

[0054] Similar to the functionality described in connection with the downlink transmission by the base station 304, the one or more processors 332 provides RRC layer functionality associated with system information (e.g., MIB, SIBs) acquisition, RRC connections, and measurement reporting; PDCP layer functionality associated with header compression / decompression, and security (ciphering, deciphering, integrity protection, integrity verification); RLC layer functionality associated with the transfer of upper layer PDUs, error correction through ARQ, concatenation, segmentation, and reassembly of RLC SDUs, re-segmentation of RLC data PDUs, and reordering of RLC data PDUs; and MAC layer functionality associated with mapping between logical channels and transport channels, multiplexing of MAC SDUs onto transport blocks (TBs), demultiplexing of MAC SDUs from TBs, scheduling information reporting, error correction through hybrid automatic repeat request (HARQ), priority handling, and logical channel prioritization.

[0055] Channel estimates derived by the channel estimator from a reference signal or feedback transmitted by the base station 304 may be used by the transmitter 314 to select the appropriate coding and modulation schemes, and to facilitate spatial processing. TheQC2503655WOQualcomm Ref. No. 2503655WO16 / 54spatial streams generated by the transmitter 314 may be provided to different antenna(s) 316. The transmitter 314 may modulate an RF carrier with a respective spatial stream for transmission.

[0056] The uplink transmission is processed at the base station 304 in a manner similar to that described in connection with the receiver function at the UE 302. The receiver 352 receives a signal through its respective antenna(s) 356. The receiver 352 recovers information modulated onto an RF carrier and provides the information to the one or more processors 384.

[0057] In the uplink, the one or more processors 384 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover IP packets from the UE 302. IP packets from the one or more processors 384 may be provided to the core network. The one or more processors 384 are also responsible for error detection.

[0058] For convenience, the UE 302, the base station 304, and / or the network entity 306 are shown in FIGS. 3 A, 3B, and 3C as including various components that may be configured according to the various examples described herein. It will be appreciated, however, that the illustrated components may have different functionality in different designs. In particular, various components in FIGS. 3A to 3C are optional in alternative configurations and the various aspects include configurations that may vary due to design choice, costs, use of the device, or other considerations. For example, in case of FIG. 3 A, a particular implementation of UE 302 may omit the WWAN transceiver(s) 310 (e.g., a wearable device or tablet computer or personal computer (PC) or laptop may have Wi-Fi and / or BLUETOOTH® capability without cellular capability), or may omit the short- range wireless transceiver(s) 320 (e.g., cellular-only, etc.), or may omit the satellite signal receiver 330, or may omit the sensor(s) 344, and so on. In another example, in case of FIG. 3B, a particular implementation of the base station 304 may omit the WWAN transceiver(s) 350 (e.g., a Wi-Fi “hotspot” access point without cellular capability), or may omit the short-range wireless transceiver(s) 360 (e.g., cellular-only, etc.), or may omit the satellite signal receiver 370, and so on. For brevity, illustration of the various alternative configurations is not provided herein, but would be readily understandable to one skilled in the art.QC2503655WOQualcomm Ref. No. 2503655WO17 / 54

[0059] The various components of the UE 302, the base station 304, and the network entity 306 may be communicatively coupled to each other over data buses 334, 382, and 392, respectively. In an aspect, the data buses 334, 382, and 392 may form, or be part of, a communication interface of the UE 302, the base station 304, and the network entity 306, respectively. For example, where different logical entities are embodied in the same device (e.g., gNB and location server functionality incorporated into the same base station 304), the data buses 334, 382, and 392 may provide communication between them.

[0060] The components of FIGS. 3A, 3B, and 3C may be implemented in various ways. In some implementations, the components of FIGS. 3 A, 3B, and 3C may be implemented in one or more circuits such as, for example, one or more processors and / or one or more ASICs (which may include one or more processors). Here, each circuit may use and / or incorporate at least one memory component for storing information or executable code used by the circuit to provide this functionality. For example, some or all of the functionality represented by blocks 310 to 346 may be implemented by processor and memory component(s) of the UE 302 (e.g., by execution of appropriate code and / or by appropriate configuration of processor components). Similarly, some or all of the functionality represented by blocks 350 to 388 may be implemented by processor and memory component(s) of the base station 304 (e.g., by execution of appropriate code and / or by appropriate configuration of processor components). Also, some or all of the functionality represented by blocks 390 to 398 may be implemented by processor and memory component(s) of the network entity 306 (e.g., by execution of appropriate code and / or by appropriate configuration of processor components). For simplicity, various operations, acts, and / or functions are described herein as being performed “by a UE,” “by a base station,” “by a network entity,” etc. However, as will be appreciated, such operations, acts, and / or functions may actually be performed by specific components or combinations of components of the UE 302, base station 304, network entity 306, etc., such as the processors 332, 384, 394, the transceivers 310, 320, 350, and 360, the memories 340, 386, and 396, the Positioning component 342, 388, and 398, etc.

[0061] In some designs, the network entity 306 may be implemented as a core network component. In other designs, the network entity 306 may be distinct from a network operator or operation of the cellular network infrastructure. For example, the network entity 306 may be a component of a private network that may be configured toQC2503655WOQualcomm Ref. No. 2503655WO18 / 54communicate with the UE 302 via the base station 304 or independently from the base station 304 (e.g., over a non-cellular communication link, such as Wi-Fi).

[0062] FIG. 4 is a diagram 400 illustrating an example ESL deployment scenario, according to aspects of the disclosure. Specifically, FIG. 4 illustrates a top view of a scenario where ESLs (e.g., ESLs 140) are deployed on both sides of two aisles of shelves in a retail establishment, warehouse, or the like. In the example of FIG. 4, groups of three ESLs are connected to a rail controller (e.g., a radio controller 130 utilizing, for example, a BLE radio) and the rail controllers are spaced Im to 2m apart. However, as will be appreciated, this is merely an example configuration and there may be more or fewer ESLs per rail controller spaced closer or further apart.

[0063] In some cases, the ESLs may not be equipped with short-range wireless communications radios (e.g., BLE radios), and instead, the rail controller may include the short-range wireless communications radio for the three ESLs connected to it. In either case, the radio associated with an ESL (whether a component of the ESL of the rail controller to which the ESL is connected) may be referred to as an “ESL radio.”

[0064] Indoor positioning based on BLE beaconing from ESLs is being developed for retail and warehouse applications. In general, the location of a target device (e.g., an electronic tag (eTag)) is determined based on signal strength measurements (e.g., received signal strength indicator (RSSI)) of beacon signals transmitted by multiple ESLs. Trilateration using RSSI has been observed to be highly unreliable, as the RSSI is very susceptible to attenuation, which in turn leads to poor range estimation accuracy. Instead, the weighted centroid algorithm is considered to be much more robust to attenuation and non-line-of- sight (NLOS) effects.

[0065] FIG. 5 is a diagram 500 illustrating an example positioning scenario using a weighted centroid algorithm, according to aspects of the disclosure. In the example of FIG. 5, measurements of the beacon signals transmitted by three ESL radios (labeled “ESL1,” “ESL2,” and “ESL3”) are used to determine a location of a target device (labeled “eTag”). For a given target device beacon transmission, let> r2> ••• rMdenote the RSSI values of the beacon as measured by M ESL radios (in descending order). The target device position estimate is then given by the weighted average of the ESL radio positions, where the weights are a function of the RSSI values:QC2503655WOQualcomm Ref. No. 2503655WO19 / 54

[0066] In the above equations, N < M is the maximum number of ESL radios that are used in the computation, and wkis an exponential function (based on a value ) of the RS SI values. N and A are empirical terms that may be preset to some desired value. The weights may be proportional to the RSSIs. That is, the weight assigned to the kthESL radio is proportional to the signal strength measured by that ESL radio, meaning an ESL radio associated with a higher RSSI may be assigned a larger weight. In the example of FIG. 5, w3> w1> w2.

[0067] Low-cost flexible electronic “tags” (referred to as “eTags”) are being developed that can be affixed to various types of assets for various purposes, such as positioning, tracking, verification / validation, product information storage, etc. FIG. 6 illustrates an example eTag 600, according to aspects of the disclosure. The example eTag 600 is a flexible printed circuit (FPC) having a size of, for example, 43mm by 45mm by 0.2mm. In some cases, the eTag 600 may be encapsulated in a paper or plastic label with an adhesive backing that can be attached to an asset.

[0068] eTags do not include batteries, but rather, are energized by (harvest energy from) received wireless signals, similar to a radio frequency identification (RFID) tag. As such, the eTag 600 includes an energy harvesting antenna 610, which may operate in the 900 MHz range. An eTag, such as eTag 600, may be able to harvest energy from a transmitter as far away as 20m (in contrast, an RFID tag needs to be within a few meters of the transmitter to be able to perform energy harvesting).

[0069] The energy captured by the energy harvesting antenna 610 is stored in an external capacitor 620, which in turn powers a test chip 630 and a transmit antenna 640. When powered by the external capacitor 620, the test chip 630 provides information for transmission to the transmit antenna 640. The transmit antenna 640 may operate in the 2.4 GHz range according to one or more communication protocols (e.g., BLE, Wi-Fi, NR). For example, the test chip 630 and transmit antenna 640 may act as a BLE beacon and support BLE advertisement transmission. Note that in some cases, the transmit antenna 640 may also act as an energy harvesting antenna.

[0070] In some cases, the eTag 600 may include one or more sensors 650. Such sensors may include temperature sensors, pressure sensors, and / or other low energy sensors.QC2503655WOQualcomm Ref. No. 2503655WO20 / 54

[0071] In some cases, to position an eTag 600 using the positioning method illustrated by FIG.5, the eTag 600 may be energized to transmit one or more BLE beacon transmissions to nearby ESL radios (e.g., ESL1, ESL2, and ESL3). The ESL radios may report their RSSI measurements to the central management entity 110, which may calculate the position of the eTag 600 or forward the measurements to another entity for processing.

[0072] In some cases, eTags may be utilized in an ESL deployment scenario, such as illustrated in FIG. 4. For example, eTags may be attached to the boxes, pallets, or other containers holding individual products, or may be attached to the individual products themselves. In such a scenario, an eTag subsystem coexists with the ESL subsystem (e.g., the central management entity 110, the wireless communication access point 120, the rail controllers 130, and the ESLs 140). The eTag subsystem includes the eTags, multiple energizer devices deployed within the environment to power the eTags, and a gateway or edge server connected to the energizer devices.

[0073] The gateway or edge server may be shared with the ESL subsystem (e.g., it may be a central management entity 110) and may perform joint management of the ESL and eTag subsystems. For example, the gateway or edge server may pair energizer devices to access points (e.g., wireless communication access points 120) for timing synchronization across the subsystems.

[0074] The energizer devices may operate in, for example, the 900 MHz and / or 2.4 GHz range(s), depending on the energy harvesting and beacon transmission configuration of the eTags. In some cases, therefore, the energizer devices may be dual mode, meaning they can operate as RFID readers to energize the eTags and BLE devices to receive / measure the BLE beacons transmitted by the eTags. (Note, however, that as described above, the energizer devices may be located further from the eTags than they would need to be from any RFID tags.) The energizer devices may also coordinate timing synchronization between the ESL radios and the eTags. Note that in a joint ESL and eTag deployment, the ESL radios do not energize the eTags; they only receive / measure the beacon transmissions from the eTags.

[0075] As described above with reference to FIG. 5, ESL radio infrastructure can be used for position estimation, as they present a highly dense network of anchor nodes that can achieve sub-meter accuracy in retail and warehouse settings.QC2503655WOQualcomm Ref. No. 2503655WO21 / 54

[0076] With respect to UE interaction with the gateway or edge server (referred to simply as a “server” for simplicity), the server may send indications / requests to one or more UEs to scan for eTag beacons and report any received data. In some cases, the server may provide a list of eTag MAC identifiers for which the UE(s) should scan, and request the UE(s) to relay any payloads matching the eTag MAC identifiers. In some cases, if a UE can decode a payload, the server may indicate to the UE to relay payloads or payload information that satisfies certain criteria (e.g., a temperature reading above 0 degrees, a weight above 100 pounds, etc.).

[0077] NR supports a number of cellular network-based positioning technologies, including downlink-based, uplink-based, and downlink-and-uplink-based positioning methods. Downlink-based positioning methods include observed time difference of arrival (OTDOA) in LTE, downlink time difference of arrival (DL-TDOA) in NR, and downlink angle-of-departure (DL-AoD) in NR. In an OTDOA or DL-TDOA positioning procedure, a UE measures the differences between the times of arrival (ToAs) of reference signals (e.g., positioning reference signals (PRS)) received from pairs of base stations, referred to as reference signal time difference (RSTD) or time difference of arrival (TDOA) measurements, and reports them to a positioning entity. More specifically, the UE receives the identifiers (IDs) of a reference base station (e.g., a serving base station) and multiple non-reference base stations in assistance data. The UE then measures the RSTD between the reference base station and each of the non-reference base stations. Based on the known locations of the involved base stations and the RSTD measurements, the positioning entity (e.g., the UE for UE-based positioning or a location server for UE- assisted positioning) can estimate the UE’s location.

[0078] For DL-AoD positioning, the positioning entity uses a measurement report from the UE of received signal strength measurements of multiple downlink transmit beams to determine the angle(s) between the UE and the transmitting base station(s). The positioning entity can then estimate the location of the UE based on the determined angle(s) and the known location(s) of the transmitting base station(s).

[0079] Uplink-based positioning methods include uplink time difference of arrival (UL-TDOA) and uplink angle-of-arrival (UL-AoA). UL-TDOA is similar to DL-TDOA, but is based on uplink reference signals (e.g., sounding reference signals (SRS)) transmitted by the UE to multiple base stations. Specifically, a UE transmits one or more uplink referenceQC2503655WOQualcomm Ref. No. 2503655WO22 / 54signals that are measured by a reference base station and a plurality of non-reference base stations. Each base station then reports the reception time (referred to as the relative time of arrival (RTOA)) of the reference signal(s) to a positioning entity (e.g., a location server) that knows the locations and relative timing of the involved base stations. Based on the reception-to-reception (Rx-Rx) time difference between the reported RTOA of the reference base station and the reported RTOA of each non-reference base station, the known locations of the base stations, and their known timing offsets, the positioning entity can estimate the location of the UE using TDOA.

[0080] For UL-AoA positioning, one or more base stations measure the received signal strength of one or more uplink reference signals (e.g., SRS) received from a UE on one or more uplink receive beams. The positioning entity uses the signal strength measurements and the angle(s) of the receive beam(s) to determine the angle(s) between the UE and the base station(s). Based on the determined angle(s) and the known location(s) of the base station(s), the positioning entity can then estimate the location of the UE.

[0081] Downlink-and-uplink-based positioning methods include enhanced cell-ID (E-CID) positioning and multi-round-trip-time (RTT) positioning (also referred to as “multi-cell RTT” and “multi-RTT”). In an RTT procedure, a first entity (e.g., a base station or a UE) transmits a first RTT-related signal (e.g., a PRS or SRS) to a second entity (e.g., a UE or base station), which transmits a second RTT-related signal (e.g., an SRS or PRS) back to the first entity. Each entity measures the time difference between the time of arrival (ToA) of the received RTT-related signal and the transmission time of the transmitted RTT- related signal. This time difference is referred to as a reception-to-transmission (Rx-Tx) time difference. The Rx-Tx time difference measurement may be made, or may be adjusted, to include only a time difference between nearest slot boundaries for the received and transmitted signals. Both entities may then send their Rx-Tx time difference measurement to a location server, which calculates the round trip propagation time (i.e., RTT) between the two entities from the two Rx-Tx time difference measurements (e.g., as the sum of the two Rx-Tx time difference measurements). Alternatively, one entity may send its Rx-Tx time difference measurement to the other entity, which then calculates the RTT. The distance between the two entities can be determined from the RTT and the known signal speed (e.g., the speed of light). For multi-RTT positioning, a first entity (e.g., a UE or base station) performs an RTT positioning procedure with multiple secondQC2503655WOQualcomm Ref. No. 2503655WO23 / 54entities (e.g., multiple base stations or UEs) to enable the location of the first entity to be determined (e.g., using multilateration) based on distances to, and the known locations of, the second entities. RTT and multi-RTT methods can be combined with other positioning techniques, such as UL-AoA and DL-AoD, to improve location accuracy.

[0082] The E-CID positioning method is based on radio resource management (RRM) measurements. In E-CID, the UE reports the serving cell ID, the timing advance (TA), and the identifiers, estimated timing, and signal strength of detected neighbor base stations. The location of the UE is then estimated based on this information and the known locations of the base station(s).

[0083] To assist positioning operations, a location server may provide assistance data to the UE.For example, the assistance data may include identifiers of the base stations (or the cells / TRPs of the base stations) from which to measure reference signals, the reference signal configuration parameters (e.g., the number of consecutive slots including PRS, periodicity of the consecutive slots including PRS, muting sequence, frequency hopping sequence, reference signal identifier, reference signal bandwidth, etc.), and / or other parameters applicable to the particular positioning method. Alternatively, the assistance data may originate directly from the base stations themselves (e.g., in periodically broadcasted overhead messages, etc.). In some cases, the UE may be able to detect neighbor network nodes itself without the use of assistance data.

[0084] In the case of an OTDOA or DL-TDOA positioning procedure, the assistance data may further include an expected RSTD value and an associated uncertainty, or search window, around the expected RSTD. In some cases, the value range of the expected RSTD may be + / - 500 microseconds (ps). In some cases, when any of the resources used for the positioning measurement are in FR1, the value range for the uncertainty of the expected RSTD may be + / - 32 ps. In other cases, when all of the resources used for the positioning measurement(s) are in FR2, the value range for the uncertainty of the expected RSTD may be + / - 8 ps.

[0085] A location estimate may be referred to by other names, such as a position estimate, location, position, position fix, fix, or the like. A location estimate may be geodetic and comprise coordinates (e.g., latitude, longitude, and possibly altitude) or may be civic and comprise a street address, postal address, or some other verbal description of a location. A location estimate may further be defined relative to some other known location orQC2503655WOQualcomm Ref. No. 2503655WO24 / 54defined in absolute terms (e.g., using latitude, longitude, and possibly altitude). A location estimate may include an expected error or uncertainty (e.g., by including an area or volume within which the location is expected to be included with some specified or default level of confidence).

[0086] Machine learning may be used to generate models that may be used to facilitate various aspects associated with processing of data. One specific application of machine learning relates to generation of measurement models for processing of reference signals for positioning (e.g., positioning reference signal (PRS)), such as feature extraction, reporting of reference signal measurements (e.g., selecting which extracted features to report), and so on.

[0087] Machine learning models are generally categorized as either supervised or unsupervised.A supervised model may further be sub-categorized as either a regression or classification model. Supervised learning involves learning a function that maps an input to an output based on example input-output pairs. For example, given a training dataset with two variables of age (input) and height (output), a supervised learning model could be generated to predict the height of a person based on their age. In regression models, the output is continuous. One example of a regression model is a linear regression, which simply attempts to find a line that best fits the data. Extensions of linear regression include multiple linear regression (e.g., finding a plane of best fit) and polynomial regression (e.g., finding a curve of best fit).

[0088] Another example of a machine learning model is a decision tree model. In a decision tree model, a tree structure is defined with a plurality of nodes. Decisions are used to move from a root node at the top of the decision tree to a leaf node at the bottom of the decision tree (i.e., a node with no further child nodes). Generally, a higher number of nodes in the decision tree model is correlated with higher decision accuracy.

[0089] Another example of a machine learning model is a decision forest. Random forests are an ensemble learning technique that builds off of decision trees. Random forests involve creating multiple decision trees using bootstrapped datasets of the original data and randomly selecting a subset of variables at each step of the decision tree. The model then selects the mode of all of the predictions of each decision tree. By relying on a “majority wins” model, the risk of error from an individual tree is reduced.QC2503655WOQualcomm Ref. No. 2503655WO25 / 54

[0090] Another example of a machine learning model is a neural network (NN)- A neural network is essentially a network of mathematical equations. Neural networks accept one or more input variables, and by going through a network of equations, result in one or more output variables. Put another way, a neural network takes in a vector of inputs and returns a vector of outputs.

[0091] FIG. 7 illustrates an example neural network 700, according to aspects of the disclosure.The neural network 700 includes an input layer ‘i’ that receives ‘n’ (one or more) inputs (illustrated as “Input 1,” “Input 2,” and “Input n”), one or more hidden layers (illustrated as hidden layers ‘hl,’ ‘h2,’ and ‘h3’) for processing the inputs from the input layer, and an output layer ‘o’ that provides ‘m’ (one or more) outputs (labeled “Output 1” and “Output m”). The number of inputs ‘n,’ hidden layers ‘h,’ and outputs ‘m’ may be the same or different. In some designs, the hidden layers ‘h’ may include linear function(s) and / or activation function(s) that the nodes (illustrated as circles) of each successive hidden layer process from the nodes of the previous hidden layer.

[0092] In classification models, the output is discrete. One example of a classification model is logistic regression. Logistic regression is similar to linear regression but is used to model the probability of a finite number of outcomes, typically two. In essence, a logistic equation is created in such a way that the output values can only be between ‘0’ and ‘1.’ Another example of a classification model is a support vector machine. For example, for two classes of data, a support vector machine will find a hyperplane or a boundary between the two classes of data that maximizes the margin between the two classes. There are many planes that can separate the two classes, but only one plane can maximize the margin or distance between the classes. Another example of a classification model is Naive Bayes, which is based on Bayes Theorem. Other examples of classification models include decision tree, random forest, and neural network, similar to the examples described above except that the output is discrete rather than continuous.

[0093] Unlike supervised learning, unsupervised learning is used to draw inferences and find patterns from input data without references to labeled outcomes. Two examples of unsupervised learning models include clustering and dimensionality reduction.

[0094] Clustering is an unsupervised technique that involves the grouping, or clustering, of data points. Clustering is frequently used for customer segmentation, fraud detection, and document classification. Common clustering techniques include k-means clustering,QC2503655WOQualcomm Ref. No. 2503655WO26 / 54hierarchical clustering, mean shift clustering, and density-based clustering. Dimensionality reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables. In simpler terms, dimensionality reduction is the process of reducing the dimension of a feature set (in even simpler terms, reducing the number of features). Most dimensionality reduction techniques can be categorized as either feature elimination or feature extraction. One example of dimensionality reduction is called principal component analysis (PCA). In the simplest sense, PCA involves project higher dimensional data (e.g., three dimensions) to a smaller space (e.g., two dimensions). This results in a lower dimension of data (e.g., two dimensions instead of three dimensions) while keeping all original variables in the model.

[0095] Regardless of which machine learning model is used, at a high-level, a machine learning module (e.g., implemented by a processing system, such as processors 332, 384, or 394) may be configured to iteratively analyze training input data (e.g., measurements of reference signals to / from various target UEs) and to associate this training input data with an output data set (e.g., a set of possible or likely candidate locations of the various target UEs), thereby enabling later determination of the same output data set when presented with similar input data (e.g., from other target UEs at the same or similar location).

[0096] The artificial intelligence / machine learning (AIML) positioning and / or sensing provided by an AIML model may be “direct” AIML (denoted “D-AIML”) positioning and / or sensing or AIML “assisted” (denoted “A-AIML”) positioning and / or sensing. Note that, as used herein, an AIML model (whether an A-AIML model or a D-AIML model) may alternatively be referred to as an “ML model,” an “Al model,” an “ML-based model,” an “Al-based model,” and the like.

[0097] FIG. 8A is a diagram 810 illustrating an example of direct AIML positioning and / or sensing, according to aspects of the disclosure. As shown in FIG. 8A, direct AIML positioning and / or sensing is where the AIML model is trained to accept input features (e.g., downlink positioning reference signal (DL-PRS) measurements, sounding reference signal (SRS) measurements, sidelink positioning reference signal (SL-PRS) measurements, sensing signal measurements, beam measurements (e.g., synchronization signal block (SSB) measurements), channel state information reference signal (CSLRS) measurements, etc.) and output a final result (referred to as a “direct label”), such as aQC2503655WOQualcomm Ref. No. 2503655WO27 / 54target location (e.g., a UE location for positioning or a target object location for sensing). The measurements of the reference signal (s) may include the channel energy response (CER), channel impulse response (CIR), power delay profile (PDP), delay profile (DP), channel frequency response (CFR), received signal strength indicator (RS SI), reference signal received power (RSRP), path RSRP (RSRPP), reference signal received quality (RSRQ), time of arrival (ToA), relative ToA (RTOA), reference signal time difference (RSTD), angle of departure (AoD), angle of arrival (AoA), and / or the like of the reference signal(s).

[0098] FIG. 8B is a diagram 830 illustrating an example of AIML assisted positioning and / or sensing, according to aspects of the disclosure. As shown in FIG. 8B, AIML assisted positioning and / or sensing is where an AIML model is trained to accept input features (e.g., DL-PRS measurements, SRS measurements, SL-PRS measurements, sensing signal measurements, beam measurements, CSI-RS measurements, etc.) and output one or more intermediate results (also referred to as “intermediate label(s)”). In a positioning context, generating the intermediate result may be referred to as “positioning feature extraction,” which may include determining timing / angle information, line of sight (LOS) identification, etc. The intermediate results may include the ToA, RTOA, RSTD, AoD, AoA, LOS indication, and / or the like. The intermediate result(s) may in turn be provided as an input to another AIML model or non-AIML model positioning and / or sensing technique (e.g., Chan’s algorithm, Kalman filtering, etc.) to determine a target location (e.g., a UE location for positioning or a target object location for sensing).

[0099] Note that as shown in FIG. 8B, the A-AIML model and the other model / technique may be implemented at the same entity (e.g., UE, base station, location server, sensing server, etc.) or at different entities. For example, for network-assisted positioning, the UE may apply the A-AIML model to compress the measurement data and then report the compressed data to the location server, which may then apply the other position estimation model / technique. As another example, for UE-based positioning, a network component (e.g., a base station, location server, or another UE for sidelink positioning) may apply the A-AIML model to compress the measurement data and report the compressed data to the UE, which then applies the other position estimation model / technique.QC2503655WOQualcomm Ref. No. 2503655WO28 / 54

[0100] FIG. 8C illustrates various AIML positioning and / or sensing scenarios, according to aspects of the disclosure. As shown in diagram 850, there are three AIML positioning and / or sensing deployment scenarios based on downlink reference signals (e.g., DL-PRS, CSI-RS, etc.). The first deployment scenario (labeled “Case 1”) is aUE-based positioning and / or sensing case with a UE-side D-AIML positioning and / or sensing model (labeled “D-AIML”). In this case, the UE applies the D-AIML positioning and / or sensing model (or simply “D-AIML model”) to the downlink reference signal measurements to determine a location of the UE or a target object and reports the target location to the network.

[0101] The second deployment scenario (labeled “Case 2a”) is UE-assisted / network-based positioning and / or sensing with a UE-side A- AIML positioning and / or sensing model that provides AIML-assisted positioning and / or sensing. That is, the UE inputs measurements of downlink reference signals (e.g., DL-PRS, CSI-RS) received from one or more TRPs into the A-AIML positioning and / or sensing model to obtain intermediate measurements (or quantities) of the downlink reference signals. The UE then reports the intermediate measurements to the network. The network entity may then apply an AIML model or a non-AIML model technique to the intermediate measurements to determine a target location (e.g., of the UE for positioning scenarios or a target object for sensing scenarios).

[0102] The third deployment scenario (labeled “Case 2b”) is UE-assisted / network-based positioning and / or sensing scenario with a network-side D-AIML positioning and / or sensing model. That is, the UE reports the measurements of the downlink reference signals received from one or more TRPs to the network. The network then applies the D- AIML positioning and / or sensing model to the measurements to determine the location of the UE or a target object.

[0103] As shown in diagram 870, there are two AIML positioning and / or sensing deployment scenarios based on uplink reference signals (e.g., SRS). The first deployment scenario (labeled “Case 3a”) is RAN node-assisted positioning and / or sensing with a RAN-side AIML model that provides AIML assisted positioning and / or sensing. In this case, the RAN node (e.g., a base station, TRP, or other base station component) applies an A-AIML positioning and / or sensing model to TRP measurements of one or more uplink reference signals (e.g., SRS) transmitted by a UE to obtain intermediate measurements of the received uplink reference signal(s). The RAN node then reports the intermediateQC2503655WOQualcomm Ref. No. 2503655WO29 / 54measurements to the core network, which can use them to locate the UE (for positioning) or a target object (for sensing).

[0104] The second deployment scenario (labeled “Case 3b”) is RAN node-assisted positioning and / or sensing with a network-side AIML positioning and / or sensing model that provides direct AIML positioning and / or sensing. In this case, the RAN node reports measurements of one or more uplink reference signals received from a UE to the core network. The core network then applies a D-AIML positioning and / or sensing model to the measurements of the uplink reference signal(s) to obtain a target location of the UE (for positioning) or a target object (for sensing).

[0105] Note that there may be other deployment scenarios in which the UE, RAN, or the core network use an AIML positioning and / or sensing model to compute or report a positioning and / or sensing estimate (target location), but these cases are implementationspecific and do not necessarily involve signaling between the UE, RAN, and / or the core network.

[0106] Further note that an AIML model may execute in a training mode or an inferencing mode.In the training mode, the AIML model is provided with pre-validated input data along with pre-validated output data to derive or modify weights of the AIML to increase the reliability of the AIML model to provide new (unvalidated) output data that is similar to the pre-validated output data in response to new (unvalidated) input data that is similar to the pre-validated input data. In the inferencing mode, the AIML model utilizes the weights determined during the training mode to process new (unvalidated) input data so as to generate new (unvalidated) output data (typically, without further adjusting the weights until / unless the AIML model returns to the training mode). The (unvalidated) output data may be characterized as an “inference.” Thus, the “final” positioning or sensing results described above with respect to FIGS. 8 A to 8C may correspond to AIML model weights or inferences depending on whether the respective AIML model is executing in the training mode or the inferencing mode.

[0107] In some designs, inferring the locations of the ESL-BLE radios is an essential process for enabling a variety of site-specific proprietary services within a given store as well as third- party promoted over-the-top (OTT) services such as telemarketing (e.g., OTT positioning refers to positioning that is performed outside of the carrier network’s LMF). In some designs, an analogue third-party system that provides OTT services includes GOOGLE’sQC2503655WOQualcomm Ref. No. 2503655WO30 / 54indoor positioning system that utilizes crowdsourced Wi-Fi deployments. Similar systems may be considered as ESL technology becomes more widespread.

[0108] Another use-case where ESL radio positioning may be utilized is the deployment process itself; e.g., a specific proprietor or store contractor may deploy the system, but not record the actual locations of the radios; in such cases the store itself as a service provider needs to estimate them to provide location-based ESL services.

[0109] Unlike Wi-Fi deployments, ESL-BLE deployments may be dense with a large number of short-range radios. In such dense ESL-BLE deployments, “reverse” positioning of ESL radios (i.e., obtaining the ESL locations, rather than using the ESLs for positioning of non-ESL devices) in such circumstances may be a difficult task.

[0110] FIG. 9 illustrates an ELS deployment scenario 900, in accordance with an aspect of the disclosure.

[0111] Referring to FIG. 9, a dense ESL deployment is depicted with a unique geometry, where the ESLs are deployed regularly on a 2D grid on each side of the aisle. Consider a UE in the middle of the aisle; the UE lights up neighboring ESLs which are in the immediate vicinity, and the UE measures the strength of their RS SI beacons (in a downlink scenario, however uplink use-cases may also be considered). Using only the RSSI beacon values, the distances / ranges from the UE to the ESLs can be inferred (e.g., within a few meters of accuracy). Now, if the location of the UE is known and the relative geometry of the ESL deployment is known as well as shown in the figure, the set of possible locations can be reduced from multiple spheres to a set / group of locations lying in the intersection of the sphere and the grid plane where the ESLs are located

[0112] RSSI-based positioning of ESL-BLE beacons may be susceptible to several key ambiguities, e.g.:

[0113] Range ambiguity: for each range derived from an RSSI beacon, the possible ESL locations lie on the intersection of a sphere with radius equal to the range and the shelf plane; using geometrical information about the ESL deployment can help reduce the set of viable location options. However, the extent to which the set of viable location options may be eliminated may be limited if little specific detail is known regarding the geometrical information about the ESL deployment.QC2503655WOQualcomm Ref. No. 2503655WO31 / 54

[0114] Ambiguity due to measurement noise: the ESL deployments are typically dense, and the noise variation of the measured ESL beacons makes it hard to disambiguate ESL which are located close to each other.

[0115] Aspects of the disclosure are directed to registration of electronic shelf label (ESL) location information in a database based on measurement reporting associated with a user equipment (UE). In an aspect, measurement report(s) received from wireless node(s) (e.g., UE(s) or ESL(s)), and used to determine a candidate ESL location range of an ESL. The candidate ESL location range of the ESL is registered in an ESL location database, and used to perform action(s). Such aspects may provide various technical advantages, such as improved ESL location accuracy which may facilitate various other functions (e.g., timely transmission of one or more product offers to one or more customers in a facility that houses the ESL, etc.).

[0116] FIG. 10 illustrates an exemplary process 1000 of communications according to an aspect of the disclosure. The process 1000 of FIG. 10 is performed by a network component. In some designs, the network component may correspond to a UE (e.g., UE 302). In some designs, the network component may be integrated at a wireless network component (e.g., gNB / BS / TRP 304 or 0-RAN component such as RU) or other network component (e.g., network entity 306, an edge server, an AP such as an ESL controller, etc.). In scenarios where the network component is integrated with another device (e.g., UE / gNB / BS / TRP, LMF, SnMF, etc.), reference to any Rx / Tx operations between the network component and the other device in which the network component is integrated may correspond to transfer of information between different logical components of the device over a data bus, etc.

[0117] Referring to FIG. 10, at 1010, the network component (e.g., receiver 312, 322, 352 or 362, network transceiver s) 380 or 390, data bus 334 or 382 or 392, etc.) receives, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp. In an aspect, the first wireless node may correspond to an ESL or the first UE or another UE. In some designs, a means for performing the reception of 1010 includes receiver 312, 322, 352 or 362, network transceiver s) 380 or 390, data bus 334 or 382 or 392, etc., of FIGS. 3A-3C.

[0118] Referring to FIG. 10, at 1020, the network component (e.g., receiver 312, 322, 352 or 362, network transceiver(s) 380 or 390, data bus 334 or 382 or 392, etc.) receives, from aQC2503655WOQualcomm Ref. No. 2503655WO32 / 54second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp. In an aspect, the second wireless node may correspond to an ESL or the first UE or another UE. Also, the first and second wireless nodes may be the same or different. In some designs, a means for performing the reception of 1020 includes receiver 312, 322, 352 or 362, network transceiver(s) 380 or 390, data bus 334 or 382 or 392, etc., of FIGS. 3A-3C.

[0119] Referring to FIG. 10, at 1030, the network component (e.g., positioning component 342 or 388 or 398, processor(s) 332 or 384 or 394, etc.) determines a candidate ESL location range of an ESL based on the first measurement report and the second measurement report. In some designs, a means for performing the determination of 1030 includes positioning component 342 or 388 or 398, processor(s) 332 or 384 or 394, etc., of FIGS.3A-3C.

[0120] Referring to FIG. 10, at 1040, the network component (e.g., transmitter 314, 324, 354 or 364, network transceiver(s) 380 or 390, data bus 334 or 382 or 392, memory 340, 386 or 396, processor(s) 332 or 384 or 394, positioning component 342 or 388 or 398, etc.) registers the candidate ESL location range of the ESL in an ESL location database. In some designs, a means for performing the second registration of 1040 includes receiver 312, 322, 352 or 362, network transceiver(s) 380 or 390, data bus 334 or 382 or 392, positioning component 342 or 388 or 398, etc., of FIGS. 3A-3C.

[0121] Referring to FIG. 10, at 1050, the network component (e.g., receiver 312, 322, 352 or 362, transmitter 314, 324, 354 or 364, network transceiver(s) 380 or 390, data bus 334 or 382 or 392, memory 340, 386 or 396, processor(s) 332 or 384 or 394, positioning component 342 or 388 or 398, etc.) performs one or more actions based on the ESL location database. In some designs, a means for performing the action(s) of 1050 includes receiver 312, 322, 352 or 362, transmitter 314, 324, 354 or 364, network transceiver(s) 380 or 390, databus 334 or 382 or 392, memory 340, 386 or 396, processor(s) 332 or 384 or 394, positioning component 342 or 388 or 398, etc., of FIGS. 3A-3C.

[0122] Referring to FIG. 10, in some designs, the first measurement information comprises, e.g.:ESL beacon measurement information of one or more ESL beacons transmitted by the first ESL and measured by the first UE, or UE wireless signal measurement information of one or more wireless signals transmitted by the first UE and measured by the ESL, or a position estimate of the first UE, or a set of positioning measurements associated withQC2503655WOQualcomm Ref. No. 2503655WO33 / 54the first UE, or sensor information measured or captured by the first UE, or sensor information measured or captured by one or more sensors separate from the first UE and the ESL, or any combination thereof.

[0123] Referring to FIG. 10, in some designs, the first wireless node corresponds to the first UE, or the second wireless node corresponds to the second UE, or the first wireless node corresponds to the ESL, or the second wireless node corresponds to the ESL. Various combinations of these device mappings are also possible, in some designs.

[0124] Referring to FIG. 10, in some designs, the determination of the candidate ESL location range is further based on first geometric information associated with an environment of the ESL. In an aspect, the determination of the candidate ESL location range comprises determination of an initial candidate ESL location range associated with second geometric information, and the candidate ESL location range is based on an intersection between the first geometric information and the second geometric information. In an aspect, the first geometric information is obtained at least in part from an ESL management system associated with the ESL, or the first geometric information is obtained at least in part based on sensor measurements that are separate from the ESL management system, or the first geometric information is obtained at least in part based on a product type associated with the ESL, or any combination thereof.

[0125] Referring to FIG. 10, in some designs, the determination of the candidate ESL location range is further based on a first position estimate of the first UE, a second position estimate of the second UE, or a combination thereof.

[0126] Referring to FIG. 10, in some designs, the first position estimate, the second estimate or both are defined by a local or global coordinate system, or the first position estimate, the second estimate or both are defined via a department or section of a facility that houses the ESL, or the first position estimate, the second estimate or both are defined contextually relative to one or more landmarks in the facility, or any combination thereof.

[0127] Referring to FIG. 10, in some designs, the one or more actions comprise transmission of one or more product offers to one or more customers in a facility that houses the ESL.

[0128] Referring to FIG. 10, an example of signaling aspects for supporting a crowdsourced ESL positioning system which resides at the proprietor’ s or third-party server will be described in more detail.QC2503655WOQualcomm Ref. No. 2503655WO34 / 54

[0129] Referring to FIG. 10, in a specific example, information that may be signaled to the network component may include UE-specific information, e.g.:• UE-ID / MAC address (e.g., at minimum) and any other UE sensor related ID which is tied to the UE• UE measurements, e.g.: ESL beacon RSSI measurement (e.g., at minimum in downlink setup); RF measurements (e.g., WiFi RSSI (e.g., at minimum), RTT (if available), any other RF measurements / modalities).• Sensor readings such as magnetometer / accelerometer / gyroscope and IMU reports • Handheld (HH) camera feeds / images / processed images (features etc.) / bar code / QR information.

[0130] Referring to FIG. 10, in a specific example, information that may be signaled to the network component may include ESL radio-specific information, e.g. :• ESL-ID / MAC address (e.g., at minimum)• UE / tag beacon RSSI measurement (e.g., at minimum in uplink setup)

[0131] Referring to FIG. 10, in a specific example, information that may be signaled to the network component may include ESL deployment-specific information, e.g.:• Geometrical features of the deployment and / or shelves / aisles (ESL grid steps or intervals, shelf height / width / depth etc.)• ESL-ID and its association with product type / barcodes / QR codes as well as aisle / shelf number.• ESL activation periodicity information (e.g., different ESL subsets may wake up at different slots to save ESL battery)• Other architecture-specific or site-specific information

[0132] Referring to FIG. 10, in a specific example, information that may be signaled to the network component may include other architecture-specific or site-specific information, e.g.: server architecture and deployment: site-specific server, chain-specific server information, multi-store server, third-party server used as a service (cloud) .

[0133] Referring to FIG. 10, in a specific example, a series of operations may be implemented.In a first operation, UE registers with the system and basic UE information is entered in the system, establishing initial associations. In a second operation, UE receives ESL beacon and measures RSSI and associates this information with received ESL-ID: datum={ ESL-ID, timestamp}. Alternatively in uplink for the second operation, UE / tagQC2503655WOQualcomm Ref. No. 2503655WO35 / 54sends beacon, ESL receives the UE / tag beacon and measures RSSI and associates this information with UE / tag ID. In a third operation, UE sends datum together with RF measurements (WiFi-RSSI at minimum but others are possible too) to the server Alternatively, for the third operation, the UE can send its location information (e.g., locally obtained through RF-based self-positioning or GNSS). Additionally, for the third operation, the server may access CCTV camera feeds to obtain further location information for the UE and / or ESLs. Additionally, for the third operation, the UE may send sensor readings and IMU information for further temporal filtering etc.

[0134] Referring to FIG. 10, in a specific example, in a fourth operation, the server computes / receives UE location information with datum and computes initial set of possible ESL location. In an aspect, the initial set of possible ESL locations determined at operation 4 may include at minimum a range surface / shell centered at the UE (in downlink specifically). In an aspect, if no ESL deployment specific information is available or the available information is not sufficient to project the range sphere onto a finite set of possible ESL locations, the server may engage either with dedicated sitespecific control center (e.g., the store monitoring center) or the UE itself. In an aspect, the server may access CCTV video feeds to provide further contextual information regarding the ESL / UE location / geometry. In an aspect, the server may ask the UE to take an image of the shelf / aisle and send raw or processed information back.

[0135] Referring to FIG. 10, in a specific example, in a fifth operation, the server merges / correlates / joins the information from all UEs in a given area (e.g., same aisle) and estimates the ESL radio locations. In a sixth operation, if the ambiguities remain and / or ESL estimates cannot be confirmed reliably (e.g., likelihood-based test), the server may target specific UEs and ESL with specific information requirements such as additional range ESL beacon estimates if available, additional RF measurements, additional instructions through interactive app interface including requests for images etc.

[0136] Referring to FIG. 10, in a specific example, operations 4, 5 and / or 6 may be repeated until convergence and all viable ESLs are located.

[0137] Referring to FIG. 10, in a specific example, UE measures ESL beacon (downlink) or vice versa. In an aspect, each RSSI measurements is also associated with ESL ID. In an aspect, the RSSI beacons are converted into range estimates, which produces a sphere whose surface represents all possible locations of the ESL centered at the UE with radius equalQC2503655WOQualcomm Ref. No. 2503655WO36 / 54to the range estimates. More precisely, the sphere surface is a shell due to measurement noise associated uncertainty.

[0138] Referring to FIG. 10, in a specific example, the range sphere / shell is intersected with the geometry of the nearby ESL radio deployment (see figure); the intersecting set represents an ESL subgroup — a set of potential location for the ESL described by the specific triplet (UE Loc, RS SI, ESL-ID); the above triplet can be extended to add the specific timestamp as well as UE ID (e.g., unique store-assigned ID or MAC addr.) to form the entry (UE-ID, UE Loc, RS SI, ESL-ID, timestamp).

[0139] FIG. 11 illustrates an example implementation 1100 of the process of FIG. 10, in accordance with an aspect of the disclosure. In FIG. 11, an example range / shell / sphere that is intersected with the geometry of the aisle B itself is indicated at 1105, thereby indicating the potential ESLs for an ESL sub-group.

[0140] Referring to FIG. 10, in a specific example, creating the ESL subgroup may utilize (or require) knowledge of the UE location (discussed below in more detail). In some designs, creating the ESL subgroup may further utilize (or require) prior knowledge of the ESL geometry of the deployment; such information may be available to the proprietor of the ESL system, but may not be available to a third-part system

[0141] Referring to FIG. 10, in a specific example, when geometrical information is not directly available, the geometrical information may be acquired gradually / on demand though auxiliary sources (e.g., sensors / camera discussed below in more detail). In an aspect, the system may also rely on additional sources of information such as product types and the association between the product type and ESL-ID. In many facilities (or stores), products of similar types are placed closer to each other (e.g., same shelf or shelf section or aisle, etc.).

[0142] Referring to FIG. 10, in a specific example, at the core of the ESL positioning system is the ranging technology using ESL radio RSSI beacons which also may benefit from some kind of UE location information. In ideal case, when the locations of number of UEs are precisely known, the reserve ESL positioning problem can be solved reliably and accurately using the crowdsourced ESL RSSI beacons.

[0143] Referring to FIG. 10, in a specific example, the UE location may be acquired using one or a combination of the following, e.g.:QC2503655WOQualcomm Ref. No. 2503655WO37 / 54• RF-based technologies, such as WiFi-RSSI, WiFi-RTT, GNSS (if available) or even 5G-NR. In this case, the UE location can be either reported to the system / server or be computed there using RF measurement reports provided by the UE.• Vision-based technologies, such as on-site surveillance and monitoring cameras (CCTV cameras). In an aspect, such technologies may benefit from calibrated camera system which may be available in certain scenarios. In a further aspect, such technologies may benefit from RF measurement(s) from the UE device to match with the UE device with the visual detections.• Hybrid, multimodal, filtered location using RF and / or vision-based modalities with IMU readings.

[0144] Referring to FIG. 10, in a specific example, the UE location representation / format may be defined based on any combination of the following, e.g.:• Coordinates in a local / global coordinate system (e.g., adequate format for more accurate UE locations such as those obtained using Vision-based technologies). • Specific area in the environment (e.g., appropriate for less accurate UE locations e.g., WiFi-RSSI which can provide solid classification capability (e.g., to identify which aisle the UE is in).• Contextual information which can be expressed as proximity to certain landmarks in the environment (e.g., dedicated QR codes etc.).

[0145] Referring to FIG. 10, in a specific example, crowdsourced ESL radio localization system can be aided by various auxiliary modalities that can help resolve ambiguities, e.g. : • Device sensor and IMU readings: Accel eration / Gravity + Magnetometer can be used to estimate device orientation; IMU provides relative UE device turn angles as well as step counts which can be used to extrapolate / estimate details of movement trajectories.• Surveillance and monitoring camera system (CCTV) input: Vision-based modalities can provide auxiliary information even when they are not fully calibrated (i.e., even when they are unable to produce actual position estimates). Using CCTV camera input can provide information about proximity of certain targets to one another and to the ESL deployments, can also help eliminate key ambiguities that lead to aisle misclassification, etc. CCTV cameras can help determine geometric properties of ESL deployment when ambiguities exist, or information is incomplete.QC2503655WOQualcomm Ref. No. 2503655WO38 / 54• Handheld camera input: Images of aisles / shelf to help with missing geometrical information (can be very useful for third party that has no access to geometrical information). Barcodes / QR codes scans that the proprietor can use to solve ambiguities. Overall UE positioning relative to the surrounding infrastructure (ESLs, aisles / shelves etc.).

[0146] Referring to FIG. 10, in a specific example, crowdsourcing of ESL information for OTT services may provide technical advantages or benefit for a variety of entities. From the customer perspective, crowdsourced ESL information may be obtained by an application utilized on a UE. This application may be provided for free if system is built and maintained by site / store or if the UE owner / customer has a membership for that store. Alternatively, if the system is built, maintained and service offered by a third party, UE can pay monthly fee for usage, or UE can use for fee if the UE agrees to provide data to the system for further optimization / maintenance, etc. From the store (or store owner) perspective, if the crowdsourced ESL information is not built and maintained on site, stores may a contract with third party to build and maintain the system or the stores (or store owners) may pay monthly fee to use it as a service (cloud).

[0147] In the detailed description above it can be seen that different features are grouped together in examples. This manner of disclosure should not be understood as an intention that the example clauses have more features than are explicitly mentioned in each clause. Rather, the various aspects of the disclosure may include fewer than all features of an individual example clause disclosed. Therefore, the following clauses should hereby be deemed to be incorporated in the description, wherein each clause by itself can stand as a separate example. Although each dependent clause can refer in the clauses to a specific combination with one of the other clauses, the aspect(s) of that dependent clause are not limited to the specific combination. It will be appreciated that other example clauses can also include a combination of the dependent clause aspect(s) with the subject matter of any other dependent clause or independent clause or a combination of any feature with other dependent and independent clauses. The various aspects disclosed herein expressly include these combinations, unless it is explicitly expressed or can be readily inferred that a specific combination is not intended (e.g., contradictory aspects, such as defining an element as both an electrical insulator and an electrical conductor). Furthermore, it is alsoQC2503655WOQualcomm Ref. No. 2503655WO39 / 54intended that aspects of a clause can be included in any other independent clause, even if the clause is not directly dependent on the independent clause.

[0148] Implementation examples are described in the following numbered clauses:

[0149] Clause 1. A method performed by a network component, comprising: receiving, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp; receiving, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp; determining a candidate ESL location range of an ESL based on the first measurement report and the second measurement report; registering the candidate ESL location range of the ESL in an ESL location database; and performing one or more actions based on the ESL location database.

[0150] Clause 2. The method of clause 1, wherein the first measurement information comprises:ESL beacon measurement information of one or more ESL beacons transmitted by the first ESL and measured by the first UE, or UE wireless signal measurement information of one or more wireless signals transmitted by the first UE and measured by the ESL, or a position estimate of the first UE, or a set of positioning measurements associated with the first UE, or sensor information measured or captured by the first UE, or sensor information measured or captured by one or more sensors separate from the first UE and the ESL, or any combination thereof.

[0151] Clause 3. The method of any of clauses 1 to 2, wherein the first wireless node corresponds to the first UE, or wherein the second wireless node corresponds to the second UE, or wherein the first wireless node corresponds to the ESL, or wherein the second wireless node corresponds to the ESL.

[0152] Clause 4. The method of any of clauses 1 to 3, wherein the determination of the candidate ESL location range is further based on first geometric information associated with an environment of the ESL.

[0153] Clause 5. The method of clause 4, wherein the determination of the candidate ESL location range comprises determination of an initial candidate ESL location range associated with second geometric information, and wherein the candidate ESL location range is based on an intersection between the first geometric information and the second geometric information.QC2503655WOQualcomm Ref. No. 2503655WO40 / 54

[0154] Clause 6. The method of any of clauses 4 to 5, wherein the first geometric information is obtained at least in part from an ESL management system associated with the ESL, or wherein the first geometric information is obtained at least in part based on sensor measurements that are separate from the ESL management system, or wherein the first geometric information is obtained at least in part based on a product type associated with the ESL, or any combination thereof.

[0155] Clause 7. The method of any of clauses 1 to 6, wherein the determination of the candidate ESL location range is further based on a first position estimate of the first UE, a second position estimate of the second UE, or a combination thereof.

[0156] Clause 8. The method of clause 7, wherein the first position estimate, the second estimate or both are defined by a local or global coordinate system, or wherein the first position estimate, the second estimate or both are defined via a department or section of a facility that houses the ESL, or wherein the first position estimate, the second estimate or both are defined contextually relative to one or more landmarks in the facility, or any combination thereof.

[0157] Clause 9. The method of any of clauses 1 to 8, wherein the one or more actions comprise transmission of one or more product offers to one or more customers in a facility that houses the ESL.

[0158] Clause 10. A network component, comprising: one or more memories; one or more transceivers; and one or more processors communicatively coupled to the one or more memories and the one or more transceivers, wherein the one or more processors, either alone or in combination, are configured to: receive, via the one or more transceivers, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp; receive, via the one or more transceivers, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp; determine a candidate ESL location range of an ESL based on the first measurement report and the second measurement report; register the candidate ESL location range of the ESL in an ESL location database; and perform one or more actions based on the ESL location database.

[0159] Clause 11. The network component of clause 10, wherein the first measurement information comprises: ESL beacon measurement information of one or more ESLQC2503655WOQualcomm Ref. No. 2503655WO41 / 54beacons transmitted by the first ESL and measured by the first UE, or UE wireless signal measurement information of one or more wireless signals transmitted by the first UE and measured by the ESL, or a position estimate of the first UE, or a set of positioning measurements associated with the first UE, or information measured or captured by the first UE, or information measured or captured by one or more sensors separate from the first UE and the ESL, or any combination thereof.

[0160] Clause 12. The network component of any of clauses 10 to 11, wherein the first wireless node corresponds to the first UE, or wherein the second wireless node corresponds to the second UE, or wherein the first wireless node corresponds to the ESL, or wherein the second wireless node corresponds to the ESL.

[0161] Clause 13. The network component of any of clauses 10 to 12, wherein the determination of the candidate ESL location range is further based on first geometric information associated with an environment of the ESL.

[0162] Clause 14. The network component of clause 13, wherein the determination of the candidate ESL location range comprises determination of an initial candidate ESL location range associated with second geometric information, and wherein the candidate ESL location range is based on an intersection between the first geometric information and the second geometric information.

[0163] Clause 15. The network component of any of clauses 13 to 14, wherein the first geometric information is obtained at least in part from an ESL management system associated with the ESL, or wherein the first geometric information is obtained at least in part based on sensor measurements that are separate from the ESL management system, or wherein the first geometric information is obtained at least in part based on a product type associated with the ESL, or any combination thereof.

[0164] Clause 16. The network component of any of clauses 10 to 15, wherein the determination of the candidate ESL location range is further based on a first position estimate of the first UE, a second position estimate of the second UE, or a combination thereof.

[0165] Clause 17. The network component of clause 16, wherein the first position estimate, the second estimate or both are defined by a local or global coordinate system, or wherein the first position estimate, the second estimate or both are defined via a department or section of a facility that houses the ESL, or wherein the first position estimate, the second estimateQC2503655WOQualcomm Ref. No. 2503655WO42 / 54or both are defined contextually relative to one or more landmarks in the facility, or any combination thereof.

[0166] Clause 18. The network component of any of clauses 10 to 17, wherein the one or more actions comprise transmission of one or more product offers to one or more customers in a facility that houses the ESL.

[0167] Clause 19. A network component, comprising: means for receiving, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp; means for receiving, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp; means for determining a candidate ESL location range of an ESL based on the first measurement report and the second measurement report; means for registering the candidate ESL location range of the ESL in an ESL location database; and means for performing one or more actions based on the ESL location database.

[0168] Clause 20. The network component of clause 19, wherein the first measurement information comprises: ESL beacon measurement information of one or more ESL beacons transmitted by the first ESL and measured by the first UE, or UE wireless signal measurement information of one or more wireless signals transmitted by the first UE and measured by the ESL, or a position estimate of the first UE, or a set of positioning measurements associated with the first UE, or means for information measured or captured by the first UE, or means for information measured or captured by one or more sensors separate from the first UE and the ESL, or any combination thereof.

[0169] Clause 21. The network component of any of clauses 19 to 20, wherein the first wireless node corresponds to the first UE, or wherein the second wireless node corresponds to the second UE, or wherein the first wireless node corresponds to the ESL, or wherein the second wireless node corresponds to the ESL.

[0170] Clause 22. The network component of any of clauses 19 to 21, wherein the determination of the candidate ESL location range is further based on first geometric information associated with an environment of the ESL.

[0171] Clause 23. The network component of clause 22, wherein the determination of the candidate ESL location range comprises determination of an initial candidate ESL location range associated with second geometric information, and wherein the candidateQC2503655WOQualcomm Ref. No. 2503655WO43 / 54ESL location range is based on an intersection between the first geometric information and the second geometric information.

[0172] Clause 24. The network component of any of clauses 22 to 23, wherein the first geometric information is obtained at least in part from an ESL management system associated with the ESL, or wherein the first geometric information is obtained at least in part based on sensor measurements that are separate from the ESL management system, or wherein the first geometric information is obtained at least in part based on a product type associated with the ESL, or any combination thereof.

[0173] Clause 25. The network component of any of clauses 19 to 24, wherein the determination of the candidate ESL location range is further based on a first position estimate of the first UE, a second position estimate of the second UE, or a combination thereof.

[0174] Clause 26. The network component of clause 25, wherein the first position estimate, the second estimate or both are defined by a local or global coordinate system, or wherein the first position estimate, the second estimate or both are defined via a department or section of a facility that houses the ESL, or wherein the first position estimate, the second estimate or both are defined contextually relative to one or more landmarks in the facility, or any combination thereof.

[0175] Clause 27. The network component of any of clauses 19 to 26, wherein the one or more actions comprise transmission of one or more product offers to one or more customers in a facility that houses the ESL.

[0176] Clause 28. A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a network component, cause the network component to: receive, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp; receive, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp; determine a candidate ESL location range of an ESL based on the first measurement report and the second measurement report; register the candidate ESL location range of the ESL in an ESL location database; and perform one or more actions based on the ESL location database.

[0177] Clause 29. The non-transitory computer-readable medium of clause 28, wherein the first measurement information comprises: ESL beacon measurement information of one orQC2503655WOQualcomm Ref. No. 2503655WO44 / 54more ESL beacons transmitted by the first ESL and measured by the first UE, or UE wireless signal measurement information of one or more wireless signals transmitted by the first UE and measured by the ESL, or a position estimate of the first UE, or a set of positioning measurements associated with the first UE, or information measured or captured by the first UE, or information measured or captured by one or more sensors separate from the first UE and the ESL, or any combination thereof.

[0178] Clause 30. The non-transitory computer-readable medium of any of clauses 28 to 29, wherein the first wireless node corresponds to the first UE, or wherein the second wireless node corresponds to the second UE, or wherein the first wireless node corresponds to the ESL, or wherein the second wireless node corresponds to the ESL.

[0179] Clause 31. The non-transitory computer-readable medium of any of clauses 28 to 30, wherein the determination of the candidate ESL location range is further based on first geometric information associated with an environment of the ESL.

[0180] Clause 32. The non-transitory computer-readable medium of clause 31, wherein the determination of the candidate ESL location range comprises determination of an initial candidate ESL location range associated with second geometric information, and wherein the candidate ESL location range is based on an intersection between the first geometric information and the second geometric information.

[0181] Clause 33. The non-transitory computer-readable medium of any of clauses 31 to 32, wherein the first geometric information is obtained at least in part from an ESL management system associated with the ESL, or wherein the first geometric information is obtained at least in part based on sensor measurements that are separate from the ESL management system, or wherein the first geometric information is obtained at least in part based on a product type associated with the ESL, or any combination thereof.

[0182] Clause 34. The non-transitory computer-readable medium of any of clauses 28 to 33, wherein the determination of the candidate ESL location range is further based on a first position estimate of the first UE, a second position estimate of the second UE, or a combination thereof.

[0183] Clause 35. The non-transitory computer-readable medium of clause 34, wherein the first position estimate, the second estimate or both are defined by a local or global coordinate system, or wherein the first position estimate, the second estimate or both are defined via a department or section of a facility that houses the ESL, or wherein the first positionQC2503655WOQualcomm Ref. No. 2503655WO45 / 54estimate, the second estimate or both are defined contextually relative to one or more landmarks in the facility, or any combination thereof.

[0184] Clause 36. The non-transitory computer-readable medium of any of clauses 28 to 35, wherein the one or more actions comprise transmission of one or more product offers to one or more customers in a facility that houses the ESL.

[0185] Those of skill in the art will appreciate that information and signals may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

[0186] Further, those of skill in the art will appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the aspects disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

[0187] The various illustrative logical blocks, modules, and circuits described in connection with the aspects disclosed herein may be implemented or performed with a general purpose processor, a DSP, an ASIC, an FPGA, or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.QC2503655WOQualcomm Ref. No. 2503655WO46 / 54

[0188] The methods, sequences and / or algorithms described in connection with the aspects disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in random access memory (RAM), flash memory, read-only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An example storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal (e.g., UE). In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.

[0189] In one or more example aspects, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers.QC2503655WOQualcomm Ref. No. 2503655WO47 / 54Combinations of the above should also be included within the scope of computer-readable media.

[0190] While the foregoing disclosure shows illustrative aspects of the disclosure, it should be noted that various changes and modifications could be made herein without departing from the scope of the disclosure as defined by the appended claims. For example, the functions, steps and / or actions of the method claims in accordance with the aspects of the disclosure described herein need not be performed in any particular order. Further, no component, function, action, or instruction described or claimed herein should be construed as critical or essential unless explicitly described as such. Furthermore, as used herein, the terms “set,” “group,” and the like are intended to include one or more of the stated elements. Also, as used herein, the terms “has,” “have,” “having,” “comprises,” “comprising,” “includes,” “including,” and the like does not preclude the presence of one or more additional elements (e.g., an element “having” A may also have B). Further, the phrase “based on” is intended to mean “based, at least in part, on” unless explicitly stated otherwise. Also, as used herein, the term “or” is intended to be inclusive when used in a series and may be used interchangeably with “and / or,” unless explicitly stated otherwise (e.g., if used in combination with “either” or “only one of’) or the alternatives are mutually exclusive (e.g., “one or more” should not be interpreted as “one and more”). Furthermore, although components, functions, actions, and instructions may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated. Accordingly, as used herein, the articles “a,” “an,” “the,” and “said” are intended to include one or more of the stated elements. Additionally, as used herein, the terms “at least one” and “one or more” encompass “one” component, function, action, or instruction performing or capable of performing a described or claimed functionality and also “two or more” components, functions, actions, or instructions performing or capable of performing a described or claimed functionality in combination.QC2503655WO

Claims

Qualcomm Ref. No. 2503655WO48 / 54CLAIMSWhat is claimed is:

1. A method performed by a network component, comprising: receiving, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp;receiving, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp;determining a candidate ESL location range of an ESL based on the first measurement report and the second measurement report;registering the candidate ESL location range of the ESL in an ESL location database; andperforming one or more actions based on the ESL location database.

2. The method of claim 1, wherein the first measurement information comprises:ESL beacon measurement information of one or more ESL beacons transmitted by the first ESL and measured by the first UE, orUE wireless signal measurement information of one or more wireless signals transmitted by the first UE and measured by the ESL, ora position estimate of the first UE, ora set of positioning measurements associated with the first UE, orsensor information measured or captured by the first UE, orsensor information measured or captured by one or more sensors separate from the first UE and the ESL, orany combination thereof.

3. The method of claim 1,wherein the first wireless node corresponds to the first UE, orwherein the second wireless node corresponds to the second UE, or wherein the first wireless node corresponds to the ESL, orQC2503655WOQualcomm Ref. No. 2503655WO49 / 54wherein the second wireless node corresponds to the ESL.

4. The method of claim 1, wherein the determination of the candidate ESL location range is further based on first geometric information associated with an environment of the ESL.

5. The method of claim 4,wherein the determination of the candidate ESL location range comprises determination of an initial candidate ESL location range associated with second geometric information, andwherein the candidate ESL location range is based on an intersection between the first geometric information and the second geometric information.

6. The method of claim 4,wherein the first geometric information is obtained at least in part from an ESL management system associated with the ESL, orwherein the first geometric information is obtained at least in part based on sensor measurements that are separate from the ESL management system, orwherein the first geometric information is obtained at least in part based on a product type associated with the ESL, orany combination thereof.

7. The method of claim 1, wherein the determination of the candidate ESL location range is further based on a first position estimate of the first UE, a second position estimate of the second UE, or a combination thereof.

8. The method of claim 7,wherein the first position estimate, the second estimate or both are defined by a local or global coordinate system, orwherein the first position estimate, the second estimate or both are defined via a department or section of a facility that houses the ESL, orQC2503655WOQualcomm Ref. No. 2503655WO50 / 54wherein the first position estimate, the second estimate or both are defined contextually relative to one or more landmarks in the facility, orany combination thereof.

9. The method of claim 1, wherein the one or more actions comprise transmission of one or more product offers to one or more customers in a facility that houses the ESL.

10. A network component, comprising:one or more memories;one or more transceivers; andone or more processors communicatively coupled to the one or more memories and the one or more transceivers, wherein the one or more processors, either alone or in combination, are configured to:receive, via the one or more transceivers, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp;receive, via the one or more transceivers, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp;determine a candidate ESL location range of an ESL based on the first measurement report and the second measurement report;register the candidate ESL location range of the ESL in an ESL location database; andperform one or more actions based on the ESL location database.

11. The network component of claim 10, wherein the first measurement information comprises:ESL beacon measurement information of one or more ESL beacons transmitted by the first ESL and measured by the first UE, orUE wireless signal measurement information of one or more wireless signals transmitted by the first UE and measured by the ESL, orQC2503655WOQualcomm Ref. No. 2503655WO51 / 54a position estimate of the first UE, ora set of positioning measurements associated with the first UE, or information measured or captured by the first UE, orinformation measured or captured by one or more sensors separate from the first UE and the ESL, orany combination thereof.

12. The network component of claim 10,wherein the first wireless node corresponds to the first UE, orwherein the second wireless node corresponds to the second UE, or wherein the first wireless node corresponds to the ESL, orwherein the second wireless node corresponds to the ESL.

13. The network component of claim 10, wherein the determination of the candidate ESL location range is further based on first geometric information associated with an environment of the ESL.

14. The network component of claim 13,wherein the determination of the candidate ESL location range comprises determination of an initial candidate ESL location range associated with second geometric information, andwherein the candidate ESL location range is based on an intersection between the first geometric information and the second geometric information.

15. The network component of claim 13,wherein the first geometric information is obtained at least in part from an ESL management system associated with the ESL, orwherein the first geometric information is obtained at least in part based on sensor measurements that are separate from the ESL management system, orwherein the first geometric information is obtained at least in part based on a product type associated with the ESL, orany combination thereof.QC2503655WOQualcomm Ref. No. 2503655WO52 / 5416. The network component of claim 10, wherein the determination of the candidate ESL location range is further based on a first position estimate of the first UE, a second position estimate of the second UE, or a combination thereof.

17. The network component of claim 16,wherein the first position estimate, the second estimate or both are defined by a local or global coordinate system, orwherein the first position estimate, the second estimate or both are defined via a department or section of a facility that houses the ESL, orwherein the first position estimate, the second estimate or both are defined contextually relative to one or more landmarks in the facility, orany combination thereof.

18. The network component of claim 10, wherein the one or more actions comprise transmission of one or more product offers to one or more customers in a facility that houses the ESL.

19. A network component, comprising:means for receiving, from a first wireless node, a first measurement report comprising first measurement information associated with a first user equipment (UE) and a first timestamp;means for receiving, from a second wireless node, a second measurement report comprising second measurement information associated with a second UE and a second timestamp;means for determining a candidate ESL location range of an ESL based on the first measurement report and the second measurement report;means for registering the candidate ESL location range of the ESL in an ESL location database; andmeans for performing one or more actions based on the ESL location database.QC2503655WOQualcomm Ref. No. 2503655WO53 / 5420. The network component of claim 19, wherein the first measurement information comprises:ESL beacon measurement information of one or more ESL beacons transmitted by the first ESL and measured by the first UE, orUE wireless signal measurement information of one or more wireless signals transmitted by the first LTE and measured by the ESL, ora position estimate of the first UE, ora set of positioning measurements associated with the first UE, ormeans for information measured or captured by the first UE, ormeans for information measured or captured by one or more sensors separate from the first UE and the ESL, orany combination thereof.QC2503655WO

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