Beam-specific motion state detection configuration and reporting
By transmitting and receiving RF signals along specific beams to determine motion state metrics, the method addresses beamforming-induced inaccuracies in UE motion detection, offering precise motion state reporting for improved navigation and tracking.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- QUALCOMM INC
- Filing Date
- 2022-01-27
- Publication Date
- 2026-06-03
AI Technical Summary
Existing motion detection technologies in wireless networks face challenges in accurately determining and reporting the motion state of user equipment (UE) due to variations in motion measurement values caused by beamforming, which affects the orientation and phase differences of RF signals across different transmit and receive beams.
A device configured for beamforming transmits and receives RF signals along specific beams, acquiring reflections to determine motion state metrics, which are then reported to a radar server to accurately assess the UE's motion state, considering the phase differences and orientations associated with each beam.
This approach enhances the accuracy of motion state detection by accounting for beamforming effects, providing precise motion state metrics such as position, speed, and velocity of the UE, supporting applications like navigation and asset tracking.
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Abstract
Description
Technical Field
[0001] Cross - reference to Related Applications This application claims the priority and benefit of Greek Patent Application No. 20210100173, filed on March 18, 2021, titled "BEAM - SPECIFIC MOTION STATE DETECTION CONFIGURATION AND REPORTING", which has been assigned to the assignee of this application and is hereby incorporated by reference in its entirety.
[0002] The subject matter disclosed herein relates to the detection of the motion state of a user equipment, and more particularly, to determining and reporting the motion state of a user equipment based on beam - specific information.
Background Art
[0003] Motion state information of a user equipment (UE), such as a cellular phone, may be useful or essential in several applications, including navigation, orientation, cell selection, and asset tracking. The motion of the UE may be determined based on information collected from various systems. For example, a radio detection and ranging (RADAR) system (also called radar or RADAR), which determines the motion state of a device based on radio frequency (RF) signals reflected by the device, may be used. In a wireless network (e.g., a cellular network implemented according to 4G (also called the fourth generation) Long Term Evolution (LTE) radio access or 5G (also called the fifth generation) "New Radio" (NR)), a base station may transmit RF signals used for radar, and the RF signals may be reflected by the UE and received by the base station. Information regarding the reflection may be compared with information regarding the originally transmitted RF signals to determine the motion state of the UE. Improvements in determining and reporting motion state information are desirable.
Summary of the Invention
[0004] A base station or other device configured for beamforming transmits an RF signal along a transmit beam and receives an RF signal along a receive beam. Each beam has an azimuth associated with the device, and the RF signal along the beam travels to and from the device along the direction associated with the beam's azimuth. A device supporting motion detection services transmits a reference signal for radar along one or more transmit beams, and reflections of the reference signal are acquired by that device or another device along one or more receive beams. A motion state metric is determined based on the acquired reflections, and the motion state metric is reported to a radar server in the wireless network to determine the motion state of the UE. The radar reference signal of the reflection is received along one or more receive beams, or initially transmitted along one or more transmit beams, so that the motion state metric is associated with the receive beam or transmit beam. The device reporting the motion state metric, or the radar server determining the motion state from the motion state metric, is based on the receive beam or transmit beam.
[0005] In one implementation, a method for supporting motion detection services in a wireless network includes obtaining one or more reflections of a signal transmitted by a first device, the signal being associated with one or more beams of the first device, determining one or more motion state metrics based on the one or more reflections, and providing a motion state report to a network entity in the wireless network. The motion state report includes one or more motion state metrics.
[0006] In one implementation, a device configured to support motion detection services in a wireless network includes at least one transceiver, at least one memory, and at least one processor coupled to the at least one transceiver and the at least one memory. The at least one processor is configured to cause the device to acquire one or more reflections of a signal transmitted by a first device via the at least one transceiver, wherein the signal is associated with one or more beams of the first device, to determine one or more motion state metrics based on the one or more reflections via the at least one processor, and to provide a motion state report to a network entity in the wireless network via the at least one transceiver. The motion state report includes one or more motion state metrics.
[0007] In one implementation, a non-temporary computer-readable medium stores instructions, and when the instructions are executed by at least one processor of a device configured to support motion detection services in a wireless network, the device is instructed to obtain one or more reflections of a signal transmitted by a first device via at least one transceiver, wherein the signal is associated with one or more beams of the first device, to determine one or more motion state metrics based on the one or more reflections via at least one processor, and to provide a motion state report to a network entity in the wireless network via at least one transceiver. The motion state report includes one or more motion state metrics.
[0008] In one implementation, a device for supporting motion detection services in a wireless network includes means for acquiring one or more reflections of a signal transmitted by a first device, wherein the signal is associated with one or more beams of the first device; means for determining one or more motion state metrics based on the one or more reflections; and means for providing a motion state report to a network entity in the wireless network. The motion state report includes one or more motion state metrics.
[0009] Other purposes and advantages relating to the embodiments disclosed herein will become apparent to those skilled in the art based on the accompanying drawings and detailed description.
[0010] The accompanying drawings are provided to aid in describing various aspects of this disclosure and are provided solely for illustrative purposes of aspects, not as an limitation of those aspects. [Brief explanation of the drawing]
[0011] [Figure 1] This figure shows exemplary wireless communication systems in various aspects of the present disclosure. [Figure 2] This is a block diagram of a base station and user equipment (UE) design, which may be one of the base stations and one of the user equipment (UE) shown in Figure 1. [Figure 3] This figure shows a UE capable of supporting motion detection services in a wireless network. [Figure 4] This figure shows a base station capable of supporting motion detection services in a wireless network. [Figure 5] This is a flowchart for an exemplary method of supporting motion detection services in a wireless network. [Modes for carrying out the invention]
[0012] The aspects of this disclosure are provided in the following description and related drawings, which cover various examples provided for illustrative purposes. Alternative embodiments may be devised without departing from the scope of this disclosure. In addition, well-known elements of this disclosure are not described in detail or are omitted so as not to obscure the relevant details of this disclosure.
[0013] The terms “exemplary” and / or “example” are used herein to mean “to serve as an example, case, or illustration.” Any aspect described herein as “exemplary” and / or “example” should not necessarily be construed as being preferable or advantageous to any other aspect. Similarly, the term “aspects of the disclosure” does not require that all aspects of the disclosure include the features, advantages, or modes of operation described herein.
[0014] Those skilled in the art will understand that the information and signals described below may be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips, which may be mentioned throughout the following description, may be represented by voltage, current, electromagnetic waves, magnetic fields or magnetic particles, optical fields or optical particles, or any combination thereof, depending in part with the particular application, in part with the desired design, in part with the corresponding technique.
[0015] Furthermore, many aspects are described, for example, with respect to sequences of actions to be performed by elements of a computing device. It will be recognized that the various actions described herein can be performed by a particular circuit (e.g., an application-specific integrated circuit (ASIC)) by program instructions being executed by one or more processors, or a combination of both. In addition, sequences of actions described herein can be considered to be fully embodied in any form of non-temporary computer-readable storage medium storing a corresponding set of computer instructions that, at runtime, will cause or instruct the relevant processors of the device to perform the functionality described herein. Thus, various aspects of this disclosure may be embodied in several different forms, all of which are intended to fall within the scope of the claimed subject matter. In addition, for each of the aspects described herein, any corresponding form of such aspect may be described herein, for example, as “logic configured to perform” the actions described.
[0016] As used herein, the terms “User Equipment (UE)” and “Base Station” are not intended to be specific to, or otherwise limited to, any particular Radio Access Technology (RAT) unless otherwise noted. Generally, a UE may be any wireless communication device used by a user to communicate over a wireless communication network (e.g., a mobile phone, router, tablet computer, laptop computer, tracking device, wearable (e.g., smartwatch, smart glasses, augmented reality (AR) / virtual reality (VR) headset, etc.), vehicle (e.g., car, motorcycle, bicycle, etc.), Internet of Things (IoT) device, etc.). A UE may be mobile or stationary (e.g., for a certain period of time) and may communicate with a Radio Access Network (RAN). As used herein, the terms “UE” may be interchangeably referred to as “Access Terminal” or “AT,” “Client Device,” “Wireless Device,” “Subscriber Device,” “Subscriber Terminal,” “Subscriber Station,” “User Terminal” or “UT,” “Mobile Terminal,” “Mobile Station,” “Mobile Device,” or variations thereof. Generally, a UE can communicate with the core network via the RAN, and through the core network, the UE can connect to external networks such as the internet, and to other UEs. Of course, other mechanisms for connecting to the core network and / or the internet, such as wired access networks and wireless local area network (WLAN) networks (e.g., based on IEEE 802.11), are also possible for the UE.
[0017] A base station may operate according to one of several RATs through which it communicates with a UE, depending on the network in which it is deployed. These RATs may also be called access points (APs), network nodes, node Bs, advanced node Bs (eNBs), or New Radio (NR) node Bs (also known as gNBs). In addition, in some systems, base stations may simply provide edge node signaling functionality, and in other systems, base stations may provide additional control and / or network management functionality. A communication link through which a UE can send signals to a base station is called an uplink (UL) channel (e.g., reverse traffic channel, reverse control channel, access channel, etc.). A communication link through which a base station can send signals to a UE is called a downlink (DL) or forward link channel (e.g., paging channel, control channel, broadcast channel, forward traffic channel, etc.). A communication link through which a UE signals to another UE is called a sidelink (SL) or sidelink channel. As used herein, the term Traffic Channel (TCH) may refer to any of the following: UL / reverse traffic channel, DL / forward traffic channel, or SL traffic channel.
[0018] The term “base station” can refer to a single physical transmit / receive point (TRP), sometimes also called a transmit / receive point, or to multiple physical TRPs, which may or may not be colocated. For example, when the term “base station” refers to a single physical TRP, that physical TRP may be the base station’s antenna corresponding to a base station cell. When the term “base station” refers to multiple colocated physical TRPs, that physical TRP may be the base station’s antenna array (for example, in a multi-input multiple-output (MIMO) system, or if the base station employs beamforming). When the term “base station” refers to multiple uncolocated physical TRPs, that physical TRP may be a distributed antenna system (DAS) (a network of spatially separated antennas connected to a common source via a transport medium) or a remote radio head (RRH) (a remote base station connected to a serving base station). Alternatively, an uncolocated physical TRP may be a serving base station receiving measurement reports from a UE, and an adjacent base station whose reference radio frequency (RF) signal the UE is measuring.
[0019] Radar solutions for motion detection may be specified in the 3G Partnership Project (3GPP®) standards set for LTE (4G) and New Radio (NR) over 5G, the IEEE standards set for Wireless Local Area Networks (WLAN), or other standardization bodies for wireless communications. The radar solution may employ a radar server to support determining the motion state of a UE in a wireless network (e.g., a cellular network). The radar server may be part of, or accessible from, the serving network or home network for the UE, or simply accessible via the internet or a local intranet. Where a motion detection service for the UE is required, the radar server may indicate the RF signals to be used for motion detection and the motion state metrics to be determined and provided to the radar server. The radar server may also track motion state information acquired for the UE in the wireless network, which may be used for cell selection, positioning, or other services of the wireless network for the UE. Although the radar server is described as performing several operations, such operations may be performed by any suitable network entity (such as a core network device, base station, location server, or other suitable device in the wireless network).
[0020] A radar server (or other suitable network entity) and a base station (e.g., g-node B (gNB)) may exchange messages to enable the radar server (or other suitable network entity) to obtain a motion state metric from the base station (which may be determined by the base station or obtained from the UE).
[0021] Base stations in a wireless network may be configured for beamforming. In this way, the base station's transmit or receive beam is focused in a general direction relative to the base station. Focusing the beam allows for an increased range in the direction relative to the device without increasing the power of the transmitted signal. Radar signals may be transmitted along one or more transmit beams, or reflections of radar signals may be received along one or more receive beams for motion detection services. If reflections of a signal are received along multiple receive beams, or if the received reflections are from signals transmitted along multiple transmit beams, differences in the orientation between beams may cause differences in motion measurements between beams. For example, if determining a motion measurement involves measuring the phase difference between the initially transmitted signal and the acquired reflected signal, the phase difference for a signal transmitted or received along a beam substantially parallel to the UE's axis of movement is greater than the phase difference for a signal transmitted or received along a beam substantially perpendicular to the UE's axis of movement. In another example, a beam oriented to one side of a device may not include the transmitted signal or the received signal reflected by an object if an object is located on the opposite side of the device. To determine the overall motion state of the UE, multiple motion state metrics associated with different beams may be used by a network entity (e.g., a radar server).
[0022] It is desirable to extend the measurement of the motion state metric in the presence of beamforming and the reporting of the motion state metric. As described above, one of the limitations in the motion detection service in the presence of beamforming is the variation of the motion measurement values based on different beams. For example, depending on which transmit beam transmits the original signal or which receive beam receives the reflection, the reflection may have different phases or may be received at different times.
[0023] Accordingly, extensions for a network entity (e.g., a radar server) to determine and report motion state metrics in order to determine the overall motion state of a UE are described herein. In one implementation, a device acquires one or more reflections of a signal transmitted by a first device. The first device may be a base station (such as a gNB) or UE that transmits a radar reference signal determined by a network entity (e.g., a radar server) to be used to determine the motion state of the UE. The device acquiring the reflections may be a base station, a UE, or an adjacent UE. If the first device is a base station, the reflections may be from a UE. If the first device is a UE, the reflections may be from an object in the environment of the UE. The device acquiring one or more reflections determines one or more motion state metrics associated with one or more beams of the first device (such as a representation of the phase difference associated with the initially transmitted signal and the acquired reflections as defined by the network entity (e.g., a radar server)). If the device and the first device are the same device (such as a base station or UE that both transmits signals and acquires reflections), one or more beams may include one or more transmit beams, or one or more beams may include one or more receive beams. The device also provides motion status reports to network entities in the wireless network. If the device is a base station, the network entity may be a radar server or another component of the core network communicatively coupled to the radar server. If the device is a UE or an adjacent UE, the network entity may be a base station or a relay UE. A suitable network entity in the wireless network (e.g., a radar server) determines the motion status of the UE based on one or more motion status metrics included in the motion status report.The motion state may include an indication of the position of the UE, the speed of the UE, velocity, or other measure of motion, or a range of motion associated with the UE (such as ranges of "no motion", "slow motion", or "fast motion" based on thresholds related to the degree of motion and the range of motion).
[0024] FIG. 1 shows an exemplary wireless communication system 100. The wireless communication system 100 (which may also be referred to as a wireless wide area network (WWAN) or a wireless network (e.g., a cellular network)) may include various base stations 102, which may be referred to herein as gNB 102 or other types of NB, and various UEs 104. The base stations 102 may include macro cell base stations (high power wireless base stations) and / or small cell base stations (low power wireless base stations). In one aspect, the macro cell base stations may include an eNB corresponding to the wireless communication system 100 being an LTE network, or a gNB corresponding to the wireless communication system 100 being a 5G network, or a combination of both, and the small cell base stations may include femtocells, picocells, microcells, and the like.
[0025] The base stations 102 may collectively form a RAN and interface with a core network 170 (e.g., an Advanced Packet Core (EPC) or Next Generation Core (NGC)) via a backhaul link 122, and with one or more radar servers 172 via the core network 170. In addition to other functions, the base stations 102 may perform functions related to one or more of the following: transferring user data, radio channel encryption and decryption, integrity protection, header compression, mobility control functions (e.g., handover, dual connectivity), inter-cell interference coordination, connection setup and release, load balancing, delivery for non-access layer (NAS) messages, NAS node selection, synchronization, RAN sharing, multimedia broadcast multicast service (MBMS), subscriber and equipment tracking, RAN information management (RIM), paging, positioning, and delivery of warning messages. The base stations 102 may communicate with each other directly or indirectly (e.g., via EPC / NGC) via a backhaul link 134, which may be wired or wireless.
[0026] Base station 102 may communicate wirelessly with UE 104. Each base station 102 may provide communication coverage to its respective geographical coverage area 110. In one embodiment, one or more cells may be supported by base stations 102 in each coverage area 110. A “cell” is a logical communication entity used for communication with a base station (over several frequency resources, e.g., carrier frequency, component carrier, carrier, band, etc.) and may be associated with an identifier (e.g., physical cell identifier (PCID), virtual cell identifier (VCID)) to distinguish cells operating over the same or different carrier frequencies. In some cases, different cells may be configured according to different protocol types (e.g., machine-type communications (MTC), narrowband IoT (NB-IoT), enhanced mobile broadband (eMBB), or others) that may provide access for different types of UEs. In some cases, the term “cell” may also refer to the geographical coverage area (e.g., sector) of a base station, to the extent that carrier frequencies are detectable and available for communication within some portion of the geographical coverage area 110.
[0027] The geographical coverage areas 110 of adjacent macrocell base stations 102 may partially overlap (for example, within handover areas), but some of the geographical coverage areas 110 may be significantly overlapped by larger geographical coverage areas 110. For example, a small cell base station 102' may have a coverage area 110' that significantly overlaps with the coverage areas 110 of one or more macrocell base stations 102. A network that includes both small cell base stations and macrocell base stations is sometimes called a heterogeneous network. A heterogeneous network may also include a home eNB (HeNB), which may serve a restricted group called a limited subscriber group (CSG).
[0028] The communication link 120 between base station 102 and UE 104 may include UL (also called reverse link) transmission from UE 104 to base station 102, and / or downlink (DL) (also called forward link) transmission from base station 102 to UE 104. The communication link 120 may use MIMO antenna technology, including spatial multiplexing, beamforming, and / or transmit diversity. The communication link 120 may pass through one or more carrier frequencies. Carrier allocation may be asymmetric with respect to DL and UL (for example, more or fewer carriers may be allocated for DL than for UL).
[0029] Small cell base station 102' may operate in licensed frequency spectrum and / or unlicensed frequency spectrum. When operating in unlicensed frequency spectrum, small cell base station 102' may employ LTE or 5G technology and may use the same 5GHz unlicensed frequency spectrum used by WLAN APs. Small cell base station 102' employing LTE / 5G in unlicensed frequency spectrum may extend coverage to the access network and / or increase the capacity of the access network. LTE in unlicensed spectrum is sometimes referred to as LTE Unlicensed (LTE-U), License-Assisted Access (LAA), or MulteFire.
[0030] The wireless communication system 100 may further include a mmW base station 180 which may operate in millimeter-wave (mmW) and / or quasi-mmW frequencies communicating with the UE 182. Extremely high frequency (EHF) is a part of RF in the electromagnetic spectrum. EHF has wavelengths between 1 millimeter and 10 millimeters and ranges from 30 GHz to 300 GHz. Radio waves in this band are sometimes called millimeter waves. Quasi-mmW may extend down to frequencies as low as 3 GHz with wavelengths of 100 millimeters. Very high frequency (SHF) band extends between 3 GHz and 30 GHz and is also called centimeter waves. Communication using the mmW / quasi-mmW radio frequency bands has high path loss and relatively short distances. The mmW base station 180 and UE 182 may utilize beamforming (transmit and / or receive) over the mmW communication link 184 to compensate for the extremely high path loss and short distances. Furthermore, it will be understood that in alternative configurations, one or more base stations 102 may also transmit using mmW or quasi-mmW and beamforming. Therefore, it should be understood that the above examples are merely illustrative and should not be interpreted as limiting the various embodiments disclosed herein.
[0031] Transmit beamforming is a technique for focusing RF signals in a specific direction. Traditionally, when a network node (e.g., a base station) broadcasts an RF signal, it broadcasts that signal in all directions (omnidirectionally). Using transmit beamforming, a network node can determine where a given target device (e.g., a UE) is located (relative to the transmitting network node) and project a stronger downlink RF signal in that specific direction, thereby providing a faster and more powerful RF signal (in terms of data rate) to the receiving device. To change the directivity of an RF signal when transmitting, a network node can control the phase and relative amplitude of the RF signal at each of the one or more transmitters broadcasting the RF signal. For example, a network node may use an array of antennas (called a "phased array" or "antenna array") that can create beams of RF waves that can be "steered" to point in different directions without actually moving the antennas. In detail, RF current from the transmitter is supplied to individual antennas with the appropriate phase relationship, and as a result, radio waves from separate antennas are added together to increase radiation in the desired direction while canceling out radiation in the undesirable direction.
[0032] In receive beamforming, a receiver uses a received beam to amplify the RF signal detected on a given channel. For example, a receiver can amplify the RF signal received from a particular direction (e.g., increase its gain level) by increasing the gain setting of an antenna array in a particular direction and / or adjusting the phase setting. Therefore, when a receiver is said to beamform in a certain direction, it means that the beam gain in that direction is greater than the beam gain along other directions, or that the beam gain in that direction is the greatest compared to the beam gain of all other receive beams available to the receiver in that direction. This results in a stronger received signal intensity (e.g., reference signal received power (RSRP), reference signal received quality (RSRQ), signal-to-interference + noise ratio (SINR), etc.) of the RF signal received from that direction.
[0033] In 5G, the frequency spectrum in which wireless nodes (e.g., base stations 102 / 180, UE104 / 182) operate is divided into multiple frequency ranges: FR1 (450MHz to 6000MHz), FR2 (24250MHz to 52600MHz), FR3 (above 52600MHz), and FR4 (between FR1 and FR2). In multi-carrier systems such as 5G, one of the carrier frequencies is called the "primary carrier" or "anchor carrier" or "primary serving cell" or "PCell," while the remaining carrier frequencies are called "secondary carriers" or "secondary serving cells" or "SCell." In carrier aggregation, the anchor carrier is the carrier operating on the primary frequency (e.g., FR1) utilized by UE104 / 182 and on the cell in which UE104 / 182 either performs the initial radio resource control (RRC) connection establishment procedure or initiates the RRC connection re-establishment procedure. The primary carrier carries all common control channels and UE-specific control channels. The secondary carrier is a carrier operating on a second frequency (e.g., FR2) which may be configured once an RRC connection is established between the UE104 and the anchor carrier and may be used to provide additional radio resources. Since both the primary uplink and primary downlink carriers are typically UE-specific, the secondary carrier may contain only the necessary signaling information and signals; for example, UE-specific signaling information and signals do not need to be present in the secondary carrier. This means that different UE104 / 182s in a cell may have different downlink primary carriers. The same applies to the uplink primary carrier. The network can change the primary carrier of any UE104 / 182 at any time. This is done, for example, to balance the load on different carriers.Since a "serving cell" (whether PCell or SCell) corresponds to the carrier frequency / component carrier through which several base stations communicate, terms such as "cell," "serving cell," "component carrier," and "carrier frequency" can be used interchangeably.
[0034] For example, still referring to Figure 1, one of the frequencies used by the macrocell base station 102 may be the anchor carrier (or "PCell"), and the other frequencies used by the macrocell base station 102 and / or the mmW base station 180 may be secondary carriers ("SCell"). Simultaneous transmission and / or reception of multiple carriers allows UE 104 / 182 to significantly increase its data transmission and / or reception rates. For example, aggregated two 20MHz carriers in a multicarrier system would theoretically result in a doubling of the data rate (i.e., 40MHz) compared to the data rate achieved by a single 20MHz carrier.
[0035] The wireless communication system 100 may further include one or more UEs that indirectly connect to one or more communication networks via one or more device-to-device (D2D) peer-to-peer (P2P) links. In the example in Figure 1, UE 164 has a D2D P2P link 192 with one of the UEs 104 connected to one of the base stations 102. Link 192 may be used to indirectly obtain wireless connectivity for D2D communication between UEs 104 and 164 without using base stations 102. In some implementations, link 192 is a sidelink (SL) between UEs 104 and 164. In one example, the D2D P2P link 192 may be supported using any well-known D2D RAT such as LTE Direct (LTE-D), WiFi Direct (WiFi-D), or Bluetooth®.
[0036] The wireless communication system 100 may include a UE 164 that communicates with a macrocell base station 102 via a communication link 120 and / or with an mmW base station 180 via an mmW communication link 184. For example, the macrocell base station 102 may support a PCell and one or more SCells for the UE 164, and the mmW base station 180 may support one or more SCells for the UE 164.
[0037] The radar server 172 may include one or more radar servers that will configure the wireless network to support motion detection services based on radar technology. The radar server 172 determines which signal resources will be used for radar and indicates the signal resources to be used to the base station 102 (and to the UE via the base station). The signal resources used herein may be any preferred frequency portion or time domain portion of a signal. The signals for radar may include any preferred reference signal (RS) or data signal. In some implementations, the radar server 172 determines one or more radar RS resources to include one or more of the following: DL channel state information RS (DL-CSI-RS), DL positioning reference signal (which may be indicated by a location server coupled to the core network 170, DL-PRS), synchronization signal block (SSB, each SSB associated with a specific transmit beam of a base station transmitting radar RS), SL-SSB between UEs (each SL-SSB associated with a specific transmit beam of a UE transmitting radar RS), SL-CSI-RS, or SL-PRS. The radar server 172 also determines and manages motion state information for one or more UEs 104 in the wireless network 100. For example, motion state metrics for a UE 104 are reported to the radar server 172 by the base station 102 via the core network 170. The radar server 172 may determine or store the motion state for a UE 104 from the acquired motion state metrics. The motion state may be any preferred representation of the UE's motion. As described above, the motion state may include speed, velocity, acceleration, or another preferred representation of motion. The motion state may include a value to indicate a range of motion or a specific amount of motion. The motion state may be used to configure cell selection, handover, beamforming, localization, or other aspects of the wireless network 100. The radar server 172 also indicates what motion state metrics will be reported to the radar server 172.As described above, the operations described herein are explained as being performed by the radar server 172 for clarity, but one or more operations may be performed by another suitable network entity (such as a base station, a location server, or another suitable network entity). Thus, the term "radar server" as used herein may refer to any suitable network entity for performing the operations described.
[0038] Figure 2 shows a block diagram of design 200 of base station 102 and UE 104, which may be one of the base stations and one of the UEs in Figure 1. Design 200 shows communication between base station 102 and UE 104 for the following illustrated example illustrating aspects of the present disclosure, although the communication may be between two UEs 104, two base stations 102, or other devices in the wireless network 100 via SL (such as a UE communicating with a relay UE). Referring to design 200, base station 102 may be equipped with T antennas 234a to 234t, and UE 104 may be equipped with R antennas 252a to 252r, where generally T≧1 and R≧1.
[0039] At base station 102, the transmitting processor 220 may receive data for one or more UEs from data source 212, select one or more modulation and coding schemes (MCS) for each UE at least in part based on the channel quality indicator (CQI) received from the UE, process (e.g., encode and modulate) the data for each UE at least in part based on the MCS selected for the UE, and provide data symbols to all UEs. The transmitting processor 220 may also process system information (e.g., for semi-static resource partitioning information (SRPI), etc.) and control information (e.g., CQI requests, authorizations, upper-layer signaling, etc.), and provide overhead symbols and control symbols. The transmitting processor 220 may also generate reference symbols for reference signals (e.g., cell-specific reference signals (CRS)) and synchronization signals (e.g., primary synchronization signals (PSS) and secondary synchronization signals (SSS)). The transmit (TX) multiple-input multiple-output (MIMO) processor 230 may, where applicable, perform spatial processing (e.g., precoding) on data symbols, control symbols, overhead symbols, and / or reference symbols, and provide T output symbol streams to T modulators (MODs) 232a-232t. Each modulator 232 may process its respective output symbol stream (e.g., for OFDM) to obtain an output sample stream. Each modulator 232 may further process the output sample stream (e.g., convert to analog, amplify, filter, and upconvert) to obtain a downlink signal. The T downlink signals from modulators 232a-232t may each be transmitted via T antennas 234a-234t. According to various embodiments described in more detail below, it is possible to generate a synchronization signal using location coding to convey additional information.
[0040] In UE104, antennas 252a to 252r may receive downlink signals from base station 102 and / or other base stations, and each may provide the received signals to demodulators (DEMOD) 254a to 254r. Each demodulator 254 may adjust the received signal (e.g., filter, amplify, downconvert, and digitize) to obtain an input sample. Each demodulator 254 may further process the input sample (e.g., for OFDM) to obtain a received symbol. A MIMO detector 256 may obtain received symbols from all R demodulators 254a to 254r, and, if applicable, may perform MIMO detection on the received symbols and provide the detected symbols. A receiving processor 258 may process the detected symbols (e.g., demodulate and decode), provide the decoded data for UE104 to the data sink 260, and provide the decoded control information and system information to the controller / processor 280. The channel processor may determine the reference signal received power (RSRP), the received signal strength indicator (RSSI), the reference signal received quality (RSRQ), the channel quality indicator (CQI), and so on. In some embodiments, one or more components of the UE104 may be included in the housing.
[0041] On the uplink, at UE104, the transmit processor 264 may receive and process data from data source 262 and control information (for reporting, e.g., RSRP, RSSI, RSRQ, CQI, etc.) from controller / processor 280. The transmit processor 264 may also generate reference symbols for one or more reference signals. Symbols from the transmit processor 264 may, where applicable, be precoded by TX MIMO processor 266, further processed by modulators 254a-254r, and transmitted to base station 102. At base station 102, uplink signals from UE104 and other UEs may be received by antenna 234, processed by demodulator 232, detected by MIMO detector 236 where applicable, and further processed by receive processor 238 to obtain decoded data and control information sent by UE104. The receiving processor 238 may provide the decoded data to the data sink 239 and the decoded control information to the controller / processor 240. The base station 102 may include a communication unit 244 and communicate with other devices (such as core network components) via the communication unit 244.
[0042] The controller / processor 240 of base station 102, the controller / processor 280 of UE 104, and / or any other components in Figure 2 may perform one or more techniques related to performing motion detection services, as will be described in more detail elsewhere in this specification. For example, the controller / processor 240 of base station 102, the controller / processor 280 of UE 104, and / or any other components in Figure 2 may perform or direct the operation of the process described in the figure and / or other processes as described herein. Memories 242 and 282 may store data and program code for base station 102 and UE 104, respectively. In some embodiments, memories 242 and / or 282 may provide non-temporary computer-readable media for storing one or more instructions for wireless communication. For example, one or more instructions may, when executed by one or more processors of base station 102 and / or UE 104, perform or direct the operation of a process as described herein. Scheduler 246 may schedule UEs for data transmission on the downlink and / or uplink. In some implementations, the scheduler may be used by UE 104 for data transmission on the sidelink.
[0043] As shown above, Figure 2 is provided as an example. Other examples may differ from those described in relation to Figure 2 (such as communication between two UEs or other types of devices in a wireless network).
[0044] For uplink, downlink, or sidelink transmissions, the available bandwidth in the frequency domain may be divided into uniformly spaced orthogonal subcarriers (also called "tones" or "bins"). For example, using a 15 kHz spacing, for example, for a cyclic prefix (CP) of normal length, the subcarriers may be grouped into groups of 12 subcarriers. A resource of one OFDM symbol length in the time domain and one subcarrier in the frequency domain is called a resource element (RE). Each group of 12 subcarriers and 14 OFDM symbols is called a resource block (RB), and in the above example, the number of subcarriers in a resource block is:
[0045]
number
[0046] It is acceptable to write: For a given channel bandwidth, the number of available resource blocks on each channel, also called the transmit bandwidth configuration, is:
[0047]
number
[0048] This is shown as follows: For example, in the case of a 3MHz channel bandwidth in the above example, the number of available resource blocks on each channel is:
[0049]
number
[0050] It is given by [this]. Note that the frequency components of a resource block (for example, 12 subcarriers) are called physical resource blocks (PRBs).
[0051] A set of resource elements used in a radar-based motion detection service may be called a “radar resource.” If the resource elements are from one or more reference signals, the set of resource elements may be called a “radar RS resource.” The set of resource elements can spread to multiple PRBs in the frequency domain and to one or more symbols in or across slots in the time domain. A base station or UE may transmit radar resources (such as radar RS resources) for use in a motion detection service. For example, an indication of one or more radar RS resources to be used may be received from radar server 172 in communication unit 244 of base station 102. In some implementations, base station 102 may configure itself to transmit one or more radar RS resources over the downlink. In some implementations, base station 102 may indicate one or more radar RS resources to one or more UEs 104, and UEs 104 may transmit one or more radar RS resources over the sidelink.
[0052] Figure 3 shows UE300, an example of UE104 capable of supporting motion detection services in a wireless network (such as a cellular network 100). For example, UE300 may be configured to transmit and / or receive one or more radar RS resources and / or generate one or more motion state metrics to be reported to a radar server 172. UE300 includes a computing platform comprising at least one processor 310, memory 311 including software (SW) 312, one or more sensors 313, a transceiver interface 314 for a transceiver 315, a user interface 316, and a camera 318. The processor 310, memory 311, sensors 313, transceiver interface 314, user interface 316, and camera 318 may be coupled to each other communicably by a bus 320 (which may be configured for, for example, optical and / or telecommunications). One or more of the illustrated devices (e.g., camera 318 and / or one or more of the sensors 313) may be omitted from UE300, or UE300 may include additional devices not shown (e.g., positioning system receivers (such as Global Navigation Satellite System (GNSS) or Global Positioning System (GPS) receivers and processing components)). Processor 310 may include one or more intelligent hardware devices, such as a central processing unit (CPU), a microcontroller, an application-specific integrated circuit (ASIC), etc. Processor 310 may comprise multiple processors, including an application processor 330, a digital signal processor (DSP) 331, a modem processor 332, a video processor 333, and / or a sensor processor 334. One or more of the processors 330-334 may comprise multiple devices (e.g., multiple processors). For example, sensor processor 334 may comprise processors for radar, ultrasound, and / or lidar, etc. The modem processor 332 may support dual SIM / dual connectivity (and even more SIMs).For example, one SIM (Subscriber Identity Module or Subscriber Identification Module) may be used by an Original Equipment Manufacturer (OEM), and another SIM may be used by an end user of the UE300 for connectivity. Memory 311 is a non-temporary storage medium, which may include random access memory (RAM), flash memory, disk memory, and / or read-only memory (ROM). Memory 311 stores software 312, which may be processor-readable processor-executable software code, which includes instructions configured to cause the processor 310 to operate as a dedicated computer programmed to perform the various functions described herein when executed. Alternatively, software 312 does not have to be directly executable by the processor 310, but may be configured, for example, to cause the processor 310 to operate as a dedicated computer to perform the various functions described herein when compiled and executed. This description may refer only to the processor 310 performing functions, but this includes other implementations, such as the processor 310 executing software and / or firmware. This description may refer to processor 310 performing a function as an abbreviation for one or more of processors 330-334 performing that function. This description may refer to UE300 performing a function as an abbreviation for one or more suitable components of UE300 performing that function. Processor 310 may include, in addition to and / or instead of memory 311, memory containing stored instructions. The functionality of processor 310 is described more fully below.
[0053] The configuration of the UE300 shown in Figure 3 is an example of the present disclosure, including the claims, and is not limited thereto; other configurations may be used. For example, an exemplary configuration of the UE includes one or more of the processors 330-334 of the processor 310, memory 311, and wireless transceiver 340. Other exemplary configurations include one or more of the processors 330-334 of the processor 310, memory 311, and wireless transceiver 340, as well as one or more of the sensor 313, user interface 316, camera 318, and / or wired transceiver 350.
[0054] The UE300 may include a modem processor 332 capable of performing baseband processing on signals received and downconverted by the transceiver 315. The modem processor 332 may perform baseband processing on signals to be upconverted for transmission by the transceiver 315. Alternatively, baseband processing may be performed by a processor 330 and / or a DSP 331. However, other configurations may be used to perform baseband processing.
[0055] The UE300 may include sensor 313, which may include one or more sensors of various types, such as one or more inertial sensors, one or more barometric pressure sensors, one or more magnetometers, one or more environmental sensors, one or more optical sensors, one or more weight sensors, and / or one or more radio frequency (RF) sensors. The inertial measuring unit (IMU) may include, for example, one or more accelerometers (which collectively respond to the acceleration of the UE300 in three dimensions) and / or one or more gyroscopes capable of detecting motion, including rotation of the UE300. Sensor 313 may include one or more magnetometers for determining orientation (e.g., relative to magnetic north and / or true north), which may be used for any of various purposes to support one or more compass applications. The environmental sensor may include, for example, one or more temperature sensors, one or more barometric pressure sensors, one or more ambient light sensors, one or more camera imagers, and / or one or more microphones. Sensor 313 may generate analog and / or digital signals, and a representation of such signals may be stored in memory 311 and processed by DSP 331 and / or processor 330 when supporting one or more applications, for example, applications targeting positioning and / or navigation operations.
[0056] Sensor 313 may be used in relative location measurement, relative location determination, motion determination, etc. Information detected by Sensor 313 may be used for motion detection, relative displacement, dead reckoning, sensor-based location determination, and / or sensor-assisted location determination. The IMU may be configured to provide measurements of the direction and / or speed of motion of the UE300, and these measurements may be used in relative location determination. For example, one or more accelerometers and / or one or more gyroscopes of the IMU may detect the linear acceleration and rotational velocity of the UE300, respectively. The linear acceleration and rotational velocity measurements of the UE300 may be integrated over time to determine the instantaneous direction and displacement of motion of the UE300. The instantaneous direction and displacement of motion may be integrated to track the location of the UE300. For example, the reference location of the UE300 may be determined for a specific moment in time, and measurements from the accelerometer and gyroscope taken after this moment in time may be used in dead reckoning to determine the current location of the UE300 based on the movement (direction and distance) of the UE300 relative to the reference location.
[0057] The magnetometer may determine the magnetic field strength in different directions, and such magnetic field strength may be used to determine the orientation of the UE300. For example, the orientation may be used to provide a digital compass for the UE300. The magnetometer may be a two-dimensional magnetometer configured to detect and display the magnetic field strength in two orthogonal dimensions. Alternatively, the magnetometer may be a three-dimensional magnetometer configured to detect and display the magnetic field strength in three orthogonal dimensions. The magnetometer may sense the magnetic field and provide means for, for example, the processor 310 to provide a display of the magnetic field.
[0058] The barometric pressure sensor may determine air pressure, which may be used to determine the altitude or current floor level within the UE300 building. For example, differential pressure readings may be used to detect when the UE300 changed floor levels and the number of floors that have changed. The barometric pressure sensor may sense air pressure and provide means, for example, to the processor 310, to provide a display of the air pressure.
[0059] The transceiver 315 may include a wireless transceiver 340 and a wired transceiver 350, respectively, configured to communicate with other devices via wireless and wired connections. For example, the wireless transceiver 340 may include a transmitter 342 and a receiver 344 coupled to one or more antennas 346 to transmit and / or receive (for example, on one or more uplink channels and / or one or more sidelink channels) a wireless signal 348, and to convert the signal from the wireless signal 348 to a wired (for example, electrical and / or optical) signal, and from the wired (for example, electrical and / or optical) signal to the wireless signal 348. Thus, the transmitter 342 may include multiple transmitters, which may be individual components or a composite / integrated component, and / or the receiver 344 may include multiple receivers, which may be individual components or a composite / integrated component. The wireless transceiver 340 may be configured to communicate signals (for example, with a base station and / or one or more other devices) in accordance with various radio access technologies (RATs), such as 5G New Radio (NR), GSM (Global System for Mobile), UMTS (Universal Mobile Telecommunications System), AMPS (Advanced Mobile Phone System), CDMA (Code Division Multiple Access), WCDMA® (Wideband CDMA), LTE (Long Term Evolution), LTE Direct (LTE-D), 6GPP LTE-V2X (PC5), IEEE 802.11 (including IEEE 802.11p), WiFi, WiFi Direct (WiFi-D), Bluetooth®, and Zigbee. New Radio may use mm-wave frequencies and / or sub-6GHz frequencies. The wired transceiver 350 may include a transmitter 352 and a receiver 354 configured for wired communication. The transmitter 352 may include multiple transmitters, which may be individual components or composite / integrated components, and / or the receiver 354 may include multiple receivers, which may be individual components or composite / integrated components.The wired transceiver 350 may be configured, for example, for optical and / or electrical communications. The transceiver 315 may be communicatively coupled to the transceiver interface 314, for example, by optical and / or electrical connections. The transceiver interface 314 may be at least partially integrated with the transceiver 315. In some implementations, the transceiver 315 does not include the wired transceiver 350.
[0060] Antenna 346 may include an antenna array, which may be capable of receiving beamforming or transmitting beamforming, for example, by increasing the gain setting and / or adjusting the phase setting of the antenna array in a particular direction to amplify an RF signal received from or transmitted toward a particular direction (for example, to increase its gain level). Antenna 346 may further include a plurality of antenna panels, each of which is beamforming capable. Antenna 346 is adaptable, for example, by selecting one or more antennas to control receiving beams transmitted from a base station or another UE or transmitting beams toward a base station or another UE. For example, to reduce power consumption, a reduced number of beams or a single beam may be selected, for example, for receiving a wide-angle beam, and when the transmitting beam is relatively narrow, an increased number of antennas in the antenna array may be selected. Conversely, antenna 346 may be configured to transmit a wide-angle beam or a relatively narrow beam.
[0061] The user interface 316 may include one or more of several devices, such as a speaker, microphone, display device, vibration device, keyboard, and touchscreen. The user interface 316 may include two or more of these devices. The user interface 316 may be configured to allow the user to interact with one or more applications hosted by the UE300. For example, the user interface 316 may store in memory 311 a representation of analog and / or digital signals to be processed by the DSP331 and / or processor 330 in response to user actions. Similarly, an application hosted on the UE300 may store in memory 311 a representation of analog and / or digital signals to present output signals to the user. The user interface 316 may include an audio input / output (I / O) device, such as a speaker, microphone, digital-analog circuit configuration, analog-digital circuit configuration, amplifier, and / or gain control circuit configuration (including two or more of these devices). Other configurations of audio I / O devices may be used. Alternatively, the user interface 316 may include, for example, one or more touch sensors that respond to touch and / or pressure on the keyboard and / or touchscreen of the user interface 316.
[0062] The UE300 may include a camera 318 for capturing still images or video. The camera 318 may include, for example, an imaging sensor (e.g., a charge-coupled device or CMOS imager), a lens, an analog-digital circuit configuration, a frame buffer, and the like. Additional processing, adjustment, encoding, and / or compression of the signal representing the captured image may be performed by a general-purpose processor 330 and / or DSP 331. Similarly or alternatively, the adjustment, encoding, compression, and / or manipulation of the signal representing the captured image may be performed by a video processor 333. The video processor 333 may decode / decompress the stored image data for presentation on a display device (not shown) of the user interface 316, for example.
[0063] Memory 311 may store software 312, which, when executed by processor 310, may cause processor 310 to operate as a dedicated computer programmed to perform the functions disclosed herein. As illustrated, memory 311 may include one or more components or modules that may be implemented by processor 310 to perform the functions disclosed. A component or module is illustrated as software 312 in memory 311 that is executable by processor 310, but it should be understood that a component or module may be stored in another computer-readable medium or may be dedicated hardware either inside or outside processor 310. Several software modules and data tables may reside in memory 311 and be available to processor 310 to manage both the communications and functionalities described herein. It should be understood that the organization of contents of memory 311 as illustrated is merely an example, and therefore the functionality of modules and / or data structures may be combined, separated, and / or structured in different ways depending on the implementation.
[0064] The memory 311 may include a motion detection (MD) module 372, which, when implemented by one or more processors 310, configures one or more processors 310 to engage in a motion detection session for a UE in a wireless network, for example, the motion of a UE 300 or the motion of an adjacent UE, as described herein. For example, one or more processors 310 may be configured to engage in an MD session by performing one or more of the following: transmitting one or more radar RS resources over one or more transmit beams; receiving reflections of one or more radar RS resources over one or more receive beams; measuring motion information of a UE (for example, the motion of a UE 300 or the motion of an adjacent UE) based on the received reflections; generating a motion state report including one or more motion state metrics based on the measured motion information; or transmitting the motion state report to a base station or relay UE (such as a gNB) (the report is ultimately provided to a radar server coupled to the core network). Although the MD session module 372 is shown as software contained within memory 311, the MD session module 372 may be a hardware module, a software module, or a combination of hardware and software. For example, the module may include one or more application-specific integrated circuits (ASICs), executable code, or a combination of both.
[0065] Figure 4 shows a base station 400, which is an example of a base station 102 capable of supporting motion detection services in a wireless network (e.g., a cellular network). The base station 400 includes a computing platform including at least one processor 410, memory 411 containing software (SW) 412, and transceiver 415. The processor 410, memory 411, and transceiver 415 may be communicatively coupled to each other by a bus 420 (which may be configured for optical and / or telecommunications). One or more of the illustrated devices may be omitted from the base station 400, or the base station 400 may include one or more devices not shown. The processor 410 may include one or more intelligent hardware devices, such as a central processing unit (CPU), a microcontroller, an application-specific integrated circuit (ASIC), etc. The processor 410 may comprise multiple processors (including, for example, one or more application processors, DSPs, modem processors, video processors, and / or sensor processors, similar to those shown in Figure 3). Memory 411 is a non-temporary storage medium, which may include random access memory (RAM), flash memory, disk memory, and / or read-only memory (ROM). Memory 411 stores software 412, which may be processor-readable processor-executable software code, which includes instructions configured to cause the processor 410 to operate as a dedicated computer programmed to perform the various functions described herein when executed. Alternatively, software 412 does not have to be directly executable by the processor 410, but may be configured, for example, to cause the processor 410 to operate as a dedicated computer for performing the various functions described herein when compiled and executed. This description may refer only to the processor 410 performing functions, but this includes other implementations, such as the processor 410 executing software and / or firmware.This description may refer to processor 410 performing a function as an abbreviation for one or more of the processors contained within processor 410 performing that function. This description may refer to base station 400 performing a function as an abbreviation for one or more suitable components of base station 400 performing that function. Processor 410 may include, in addition to and / or instead of memory 411, memory containing stored instructions. The functionality of processor 410 will be described more thoroughly below.
[0066] The transceiver 415 may include a wireless transceiver 440 and a wired transceiver 450, respectively, configured to communicate with other devices via wireless and wired connections. For example, the wireless transceiver 440 may include a transmitter 442 and a receiver 444 coupled to one or more antennas 446 to transmit and / or receive a wireless signal 448 (for example, over one or more uplink channels and / or one or more downlink channels) and to convert the signal from the wireless signal 448 to a wired (for example, electrical and / or optical) signal and from the wired (for example, electrical and / or optical) signal to the wireless signal 448. The antennas 446 are one or more antenna arrays capable of beamforming and transmitting and receiving beams, including beams used when transmitting or receiving signals (including radar RS resources) to support motion state detection of UEs in the wireless network. The transmitter 442 may include multiple transmitters, which may be individual components or composite / integrated components, and / or the receiver 444 may include multiple receivers, which may be individual components or composite / integrated components. The wireless transceiver 440 may be configured to communicate signals (for example, with UE300, one or more other UEs, and / or one or more other devices) in accordance with various radio access technologies (RATs), such as 5G New Radio (NR), GSM (Global System for Mobile), UMTS (Universal Mobile Telecommunications System), AMPS (Advanced Mobile Phone System), CDMA (Code Division Multiple Access), WCDMA® (Wideband CDMA), LTE (Long Term Evolution), LTE Direct (LTE-D), 6GPP LTE-V2X (PC5), IEEE 802.11 (including IEEE 802.11p), WiFi, WiFi Direct (WiFi-D), Bluetooth®, and Zigbee. The wired transceiver 450 may include a transmitter 452 and a receiver 454 configured for wired communication, for example, to send communications to a radar server 172 and receive communications from the radar server 172.The transmitter 452 may include multiple transmitters, which may be individual components or composite / integrated components, and / or the receiver 454 may include multiple receivers, which may be individual components or composite / integrated components. The wired transceiver 450 may be configured, for example, for optical communications and / or telecommunications.
[0067] The configuration of the base station 400 shown in Figure 4 is an example of the present disclosure, including the claims, and is not limited thereto; other configurations may be used. For example, the description herein describes the base station 400 being configured to perform or performing several functions, one or more of which may be performed by the radar server 172 and / or UE300.
[0068] Memory 411 may store software 412, which, when executed by processor 410, may cause processor 410 to operate as a dedicated computer programmed to perform the functions disclosed herein. As illustrated, memory 411 may include one or more components or modules that may be implemented by processor 410 to perform the functions disclosed. A component or module is illustrated as software 412 in memory 411 that is executable by processor 410, but it should be understood that a component or module may be stored in another computer-readable medium or may be dedicated hardware either inside or outside processor 410. Several software modules and data tables may reside in memory 411 and be available to processor 410 to manage both the communications and functionalities described herein. The illustrated organization of contents of memory 411 is merely an example, and therefore, the functionality of modules and / or data structures may be combined, separated, and / or structured in different ways depending on the implementation.
[0069] Memory 411 may include, for example, a motion detection (MD) session module 472 that, when implemented by the processor 410, configures the processor 410 to engage in a motion detection session for a UE as described herein. For example, one or more processors 410 may configure a base station 400 to show one or more radar RS resources to be used for motion state detection to one or more UEs 104 in order to transmit resources, to transmit one or more radar RS resources, to receive reflections of one or more radar RS resources, to determine one or more motion measurements of a UE based on the reflections, to generate a motion state report including one or more motion state metrics based on one or more motion measurements, to provide reports to a radar server 172 (via one or more core network components, etc.), to relay the acquired reports to the radar server 172, or to generate an integrated report from multiple reports or motion state metrics provided to the radar server 172. Although the MD session module 472 is shown as software contained within memory 411, the MD session module 472 may be a hardware module, a software module, or a combination of hardware and software. For example, the module may contain one or more application-specific integrated circuits (ASICs), executable code, or a combination of both.
[0070] With respect to radar-based motion state metrics and motion state identification, a standalone radar system determines the phase offset between the transmitted radar signal and the received reflection of the radar signal. The phase offset (also called phase difference) is related to the round-trip time (RTT) of the radar signal and indicates the depth of an object from the transmitter and receiver. Multiple depths over time indicate the motion state of an object (such as speed, velocity, or other preferred degree of motion). Determining the phase offset using a single-chain device in the wireless network 100 (such as one chain of base stations 104 or UE 102 separately) can be difficult due to sampling frequency offset (SFO), carrier frequency offset (CFO), or phase corruption from devices in the wireless network 100 or random timing synchronization errors. To compensate for corruption when determining the phase offset based on a single chain, other chains of a multi-chain device may be used to determine the phase offset between chains. Since the above-mentioned phase corruption is common across all chains, the inter-chain phase offset may be used to eliminate any corruption to the phase of a single chain.
[0071] To eliminate phase corruption in a single-chain device (or without using other chains in a multi-chain device), phase offsets may be determined between adjacent tones. For example, one or more radar RS resources may be associated with a defined tone of RS, and phase offsets between defined tones (or other adjacent tones) in RS may be determined. Since the above-mentioned phase corruption similarly affects the tone, phase offsets between tones may be used to eliminate any phase corruption in a single chain for radar RS resources. Motion state based on measurements between tones may be based on comparing a baseline (BL) measurement of a tone with a motion detection (MD) measurement of the tone. The BL measurement refers to measuring the phase of the tone when the environment of the device performing the measurement is static (no movement around the device). The MD measurement refers to measuring the phase of the tone during the time when a motion state will be identified. Note that phase may refer to the phase of the channel frequency response (CFR). The motion state may be relative to the device itself or to the UE in the device's environment.
[0072] In an example of calculating BL measurements for an exemplary array of tones [t1, tN], a phase array for multiple packets of the signal containing tones [tone(1), tone(N)] is determined for multiple sensing packets. The phase array for the i-th sensing packet in the moving window across sensing packets is shown in equation (1) below. Δij = |phase(tone(j)) - phase(tone(j+1))|, and for integer j ∈ [1, N-1], PA(i)=[Δi1,Δi2,...,Δi(N-1)] (1)
[0073] The BL metric g may be the average of the phase array across sensing packets, as shown in equation (2) below.
[0074]
number
[0075] However, M BL This is the number of sensing packets used for BL measurement.
[0076] For MD measurement of an object based on the BL metric g, a certain number M MD The sensing packets are used. In one example of calculating the MD measurement, the MD metric f(t) is the average of the phase array across the sensing packets for the MD measurement, as shown in equation (3) below.
[0077]
number
[0078] The motion state (sometimes called the motion degree) may be the distance between the BL metric g and the MD metric f(t). For example, the mean squared error (MSE) may be determined between the metrics, as shown in equation (4) below.
[0079]
number
[0080] Motion degree is an indication of the movement of the UE (such as the UE's speed), with larger numbers indicating greater UE speed. In this way, the device acquires reflections of radar RS resources, determines the motion degree based on the reflections, and determines a motion state metric based on the motion degree (the motion state metric is included in the report to the radar server 172). In some implementations, motion degree is the motion state metric reported to the radar server 172. In this way, the report includes the determined motion degree. In some implementations, the motion state metric is an indication that the motion degree falls within a certain range. For example, the "no movement" range may be associated with motion degrees from 0 to a first threshold, the "slow movement" range may be associated with motion degrees from a first threshold to a second threshold, and the "fast movement" range may be associated with motion degrees from and above a second threshold. In this way, the device compares the motion degree to a threshold associated with the range to identify the range, and the motion state metric is an indication of the identified range. While phase difference is shown as an exemplary motion measurement, the device may determine other preferred motion measurements (such as timing difference or frequency offset), and one or more motion state metrics in the report may be based on one or more motion measurements. Exemplary motion state metrics may include, or indicate, one or more of the following: Doppler shift measurements of the device, Doppler diffusion measurements of the device, speed measurements of the device, or velocity measurements of the device.
[0081] Radar systems include monostatic and multistatic radar systems. A monostatic radar system includes a single device that both transmits radar signals and receives reflections of radar signals. A monostatic radar system may be used to identify the motion state of a transmitting / receiving device or to identify objects in the environment of a transmitting / receiving device. A multistatic radar system includes a system having receiving devices distinct from the transmitting devices. For example, one or more transmitting devices transmit radar signals, and one or more separate receiving devices receive reflections of radar signals from objects. An exemplary multistatic radar system is a bistatic radar system where one transmitting device transmits and one receiving device receives, but any number of transmitting or receiving devices may be present. A multistatic radar system may be used to identify the motion state of objects reflecting radar signals.
[0082] The wireless network 100 may be configured for monostatic radar and / or multistatic radar (such as bistatic radar). In the monostatic radar example, base station 102 (such as a gNB) may be configured to transmit one or more radar RS resources indicated by radar server 172 and to receive reflections of one or more radar RS resources. In another example, UE 104 may be configured to transmit one or more radar RS resources indicated by radar server 172 (which may be indicated to UE 104 by a serving base station 102 to UE 104) and to receive reflections of one or more radar RS resources. In the multistatic radar example, base station 102 may transmit one or more radar RS resources, and one or more UE 104 or different base stations 102 may receive reflections of one or more radar RS resources. In the illustrated example, radar RS resources may be transmitted or received via downlink, uplink, or sidelink for devices.
[0083] Since the radar RS resources are indicated by the radar server 172, the radar RS resources are known across the transmitting and receiving devices used for motion detection services. With the radar RS resources to be used defined across the devices, the receiving device of the reflection can determine the motion measurements and motion state metrics of the motion state report to be provided to the radar server 172. The receiving device generates the motion state report and provides the report to a network entity (which may be the radar server 172, or a component communicatively coupled to the radar server 172, such as a base station, relay UE, or core network component). For example, if the receiving device is UE 104, the report is provided by UE 104 to base station 102 (such as a gNB) during UL transmission, or to relay UE 104 during SL transmission (with relay UE 104 providing the report to base station 102). If the receiving device is base station 102 (such as a gNB), the report is provided by base station 102 to the radar server 172 or a core network component communicatively coupled to the radar server 172.
[0084] Transmitting or receiving devices for motion detection services in a wireless network may be configured for beamforming. For example, antenna arrays 234a-234t may be configured for beamforming at base station 102, and / or antenna arrays 252a-252r may be configured for beamforming at UE 104. In this way, one or more signals for a motion detection service (such as one or more radar RS resources) are transmitted over one or more transmit beams and / or received over one or more receive beams. Transmitted signals or received reflections are associated with one or more transmit or receive beams, and motion state metrics determined by the receiving device are associated with one or more beams. For example, a set of radar RS resources may be transmitted over two different transmit beams. If a set of radar RS resources transmitted over two different transmit beams is reflected by an object and received by a receiving device, the reflections associated with the different transmit beams may differ from one another based on the fact that they are transmitted over different transmit beams. Similarly, if reflections are received over two different receive beams of a receiving device, the reflections associated with the different receive beams may differ from one another based on the fact that they are received over different receive beams.
[0085] Figure 5 shows a flowchart for an exemplary method 500 for supporting motion detection services in a wireless network. The exemplary method 500 may be performed by any suitable device in a wireless network (e.g., a cellular network), such as the base station 102 or 400 shown in Figures 1 and 4 or the UE 104 or 300 shown in Figures 1 and 3, as in the implementations disclosed. For example, a device capable of performing one or more operations in method 500 may include at least one transceiver (such as one or more wireless transceivers and / or one or more wired transceivers), at least one memory, and at least one processor coupled to at least one transceiver and at least one memory. Referring to UE 300 as an exemplary device, at least one transceiver may include transceiver 315 or wireless transceiver 340, at least one memory may include memory 311, and at least one processor may include processor 310, or one or more of processors 330-334. Referring to base station 400 as an exemplary device, at least one transceiver may include transceiver 415 or wireless transceiver 440, at least one memory may include memory 411, and at least one processor may include processor 410.
[0086] In block 502, the device acquires one or more reflections of a signal transmitted by the first device, and the signal is associated with one or more beams of the first device. The means for acquiring one or more reflections of a signal transmitted by the first device may include at least one transceiver (such as a wireless transceiver) of the device. As described above, the signal may be transmitted via one or more transmit beams of the first device. Similarly or alternatively, if the device performing method 500 is the first device (such as a monostatic radar), the one or more reflections may be received via one or more receive beams. One or more beams of the first device may include one or more transmit beams and / or one or more receive beams. The UE means for receiving one or more reflections may include a transceiver 315 and one or more processors 310 that have dedicated hardware or implement executable code or software instructions 312 in memory 311, such as an MD session module 372 in UE 300 shown in Figure 3. The base station means for receiving one or more reflections may include a transceiver 415 and one or more processors 410 that have dedicated hardware or execute executable code or software instructions 412 in memory 411, such as the MD session module 472 in the base station 400 shown in Figure 4.
[0087] In block 504, the device determines one or more motion state metrics based on one or more reflections. The means for determining one or more motion state metrics may include at least one processor of the device. A signal is associated with one or more beams of the first device, and one or more motion state metrics are associated with one or more beams of the first device. The UE means for determining one or more motion state metrics may include one or more processors 310 that implement executable code or software instructions 312 in memory 311, such as the MD session module 372 in the UE 300 shown in Figure 3, or have dedicated hardware. The base station means for determining one or more motion state metrics may include one or more processors 410 that implement executable code or software instructions 412 in memory 411, such as the MD session module 472 in the base station 400 shown in Figure 4, or have dedicated hardware.
[0088] In block 506, the device provides motion status reports to network entities in the wireless network. Means for providing motion status reports may include at least one transceiver of the device. The motion status report includes one or more motion status metrics. UE means for providing motion status reports may include a transceiver 315 and one or more processors 310 that implement executable code or software instructions 312 in memory 311, either having dedicated hardware or such as the MD session module 372 in UE 300 shown in Figure 3. Base station means for providing motion status reports may include a transceiver 415 and one or more processors 410 that implement executable code or software instructions 412 in memory 411, either having dedicated hardware or such as the MD session module 472 in base station 400 shown in Figure 4. The motion status may be determined by a radar server 172 coupled to the core network 170 based on one or more motion status metrics acquired by the radar server 172. In some implementations, the motion status of the UE is based on one or more motion status metrics included in the motion status report.
[0089] In some implementations, if one or more beams associated with one or more motion state metrics include one or more received beams, one or more motion state metrics may be associated with measurements of pseudo-collocation (QCL) information associated with one or more received beams. For example, one or more motion state metrics may be associated with QCL type D information measured from reflections. QCL information refers to characteristics of symbols or resources via one beam (which may be measured in a first set of antenna ports) that can be inferred from symbols or resources via the other beam (which may be measured in a second set of antenna ports). QCL type D information refers to spatial received parameters, such as those specified in Technical Specification (TS) 38.214 of Release 15 of the 3GPP® standard set. Other parameters that may be associated with motion state metrics may be associated with other types of QCL information (e.g., QCL type A, B, or C information, which may include Doppler shift, Doppler spread, or delayed spread).
[0090] In some implementations, propagation delay may be determined based on the known distance between the base station and the reference base station. For example, the known distance between the base station and the reference base station may be determined based on the known locations of the base station and the reference base station. In another example, the base station may further perform a wireless ranging procedure with the reference base station, and the known distance between the base station and the reference base station is determined based on the wireless ranging procedure.
[0091] In some implementations, a first device transmitting a signal may transmit one or more radar RS resources. When one or more radar RS resources are transmitted via one or more transmit beams of the first device, each radar RS resource is associated with a specific transmit beam. For example, if a radar RS resource includes DL-CSI-RS, the DL-CSI-RS may be transmitted using one, two, four, eight, or more orthogonal antenna ports of a base station configured for one or more transmit beams. If a radar RS resource includes DL-PRS, the location server may indicate the transmit beam of the base station for transmitting the DL-PRS (the base station may function as a transmit / receive point (TRP) for localization). If a radar RS resource includes SSB (such as DL-SSB or SL-SSB), each SSB is associated with a specific transmit beam. If a radar RS resource includes SL-CSI-RS or SL-PRS, each may be associated with a transmit beam of the UE, respectively, as described above for DL-CSI-RS and DL-PRS. In this manner, the radar server 172 may indicate which radar RS resources will be used, and a device receiving one or more reflections of the radar RS resources may determine, based on the indicated specific radar RS resources, which transmit beam will be used when transmitting the radar RS resources. The indication from the radar server 172 may be provided to the device by any suitable device in the wireless network 100 (for example, a base station 102 or relay UE 104 to another UE 104, or a core network component to base station 102). In some implementations, the indication may include instructions for associating a set of radar RS resources with a specific transmit beam (based on a specific physical layer (PHY) channel or time window, or an explicit transmit beam indicated in the instructions, as described herein).Note that a receiving device may determine one or more received beams based on which antenna port receives one or more reflections of radar RS resources.
[0092] Just as a particular radar RS resource may be associated with a particular transmit beam, or alternatively, a transmission on a particular transmit beam may occur within a particular time window. For example, transmissions through one or more transmit beams may be time-division multiplexed (TDM). The radar server 172 may indicate the time at which a radar RS resource will be transmitted, and that time may fall within a time window associated with a transmission through a particular transmit beam. In some implementations, that time may fall within a time window associated with a receive beam of a receiving device. Any suitable type of signal or resource may be used for transmission within a time domain window, including physical downlink shared channels (PDSCH), physical downlink control channels (PDCCH), physical sidelink shared channels (PSSCH), physical sidelink control channels (PSCCH), CSI-RS, tracking reference signals (TRS), synchronization signal blocks (SSB), DL-PRS, physical uplink shared channels (PUSCH), physical uplink control channels (PUCCH), or sounding RS (SRS). In some implementations, different slots may be associated with different beams, and therefore with different motion state metrics. For example, a first beam may be associated with a first set of one or more slots, and a second beam may be associated with a second set of one or more slots. The receiving device may determine a first motion state metric associated with the first set of one or more slots (associated with the first beam), and may determine a second motion state metric associated with a second set of one or more slots (associated with the second beam). In this way, the time window may contain multiple consecutive symbols of the transmitted or received signal. In some implementations, the time window may contain multiple non-consecutive symbols in a slot of the transmitted or received signal (such as first and second parts of a symbol in a slot separated by one or more symbols, where the first and second parts are transmitted over the same transmit beam).
[0093] A transmit beam may be associated with one or more physical layer (PHY) channels of a transmitting device. In this way, different transmit beams may be associated with different PHY channels. A receiving device receives one or more reflections at one or more carrier frequencies. One or more PHY channels of the transmitting device may be determined based on one or more carrier frequencies, and the transmit beam may be determined based on one or more PHY channels.
[0094] A motion status report may include one or more motion status metrics and the association of the motion status metrics to one or more beams. The association may include the display of one or more received beams (such as QCL type D information), the display of one or more determined transmitted beams, the display of one or more radar RS resources measured in the reflection (which may indicate the transmitted beam used), the display of one or more time windows associated with the reflection (which may indicate the transmitted beam used), the display of one or more PHY channels (such as one or more carrier frequencies that identify the channel associated with the transmitted beam used), or any combination of the above displays. The association to one or more beams may include the display of the beam index for each associated beam.
[0095] As described above regarding the phase offset for motion measurements, determining the motion measurement of the UE may be based on BL measurements of radar RS resources during times when the environment of the transmitting device and the receiving device are static. For example, reflections of a set of radar RS resources transmitted along a first beam may be received at the receiving device when the environment is static (which may be a test environment or an environment being controlled to generate BL motion measurements), and the BL motion measurement may be determined from the received reflections (such as the BL motion metric g described above for a particular transmitting beam). Thus, the BL motion measurement is associated with the absence of motion in the environment of the first device. When the motion state of the UE is to be determined, another set of radar RS resources may be transmitted along the first beam at different times, and reflections may be received at the receiving device. The receiving device may determine a first motion measurement (such as the metric f(t) described above for a particular transmitting beam) based on the received reflections. The receiving device may then determine the difference between the BL motion measurement and the first motion measurement. The motion state metric in the report to the radar server 172 may be the difference associated with a particular transmitting beam.
[0096] With respect to motion measurements with reference to a time window, the receiving device's determination of motion measurements may include measuring the amplitude variation of the transmitted signal during the time window, measuring the variation in the received signal strength (RSS) of the transmitted signal during the time window, measuring the phase variation of the transmitted signal during the time window, determining the quantized channel Doppler response based on the measured Doppler shift from the transmitted signal during the time window, or any combination of the above.
[0097] When determining one or more motion state metrics, the receiving device may determine one or more motion measurements and determine one or more motion state metrics based on one or more motion measurements. In some implementations, the motion state metrics included in the report may be motion measurements determined by the receiving device. For example, the degree of motion to be determined (as shown in Equation 4 above) may be the motion measurement to be determined, and the motion state metrics in the report may be the degree of motion. In some implementations, the motion measurements may be compared to one or more thresholds, and the motion state metrics are a representation of the comparison results. For example, the degree of motion may be compared to thresholds related to the ranges of no motion, slow motion, and fast motion as described above. The motion state metrics in the report may indicate which range the degree of motion falls into based on the comparison.
[0098] As described above, a motion status report may indicate the association of one or more motion status metrics to one or more transmit beams, one or more receive beams, one or more radar RS resources, one or more time windows, one or more PHY channels, or any combination thereof. If the indicated association is to one or more time windows, the association may be to the start and end times of the time window associated with the transmit beam (or receive beam). If the association is to one or more PHY channels, the association may be to the start and end times of the frequency domain window for transmitting the radar RS resources. The association to one or more time windows may include a window identifier (ID). For example, radar server 172 may use window IDs to indicate time windows, and each of one or more time windows may be associated with a different window ID. As described above, each time window is associated with a transmit beam based on the configuration of the transmit resources of the transmitting device (such as a specific antenna port). The association indicated in the report may include a window ID.
[0099] Motion measurements and motion state metrics may be determined for a specific transmit or receive beam. Thus, a first motion state metric may be determined for a first beam, and the first motion state report includes the first motion state metric associated with the first beam. In some implementations, a second motion state metric may be determined for a second beam. The first motion state report may be an integrated report including the second motion state metric associated with the second beam. In some implementations of integrated reporting, a device may decide that the first and second motion state metrics are included in the integrated report. In some implementations of integrated reporting, a device may receive motion state reports from other devices, and the device may include motion state metrics from the received motion state reports in the integrated report. For example, a relay UE or base station (e.g., a gNB) may receive reports from one or more other UEs and integrate motion state metrics from the received reports into an integrated report (the integrated report may or may not include one or more motion state metrics determined by that device). In this way, any number of motion status metrics from any number of devices may be included in the motion status report to the radar server 172. In some implementations of the integrated report, the motion status metrics may be statistics related to motion measurements. For example, exemplary motion status metrics may include the mean, median, or other statistics or distribution of motion measurements measured over multiple instances of motion measurements (e.g., over different time instances). In some implementations of the integrated motion status report, the integrated motion status report may include multiple other motion status reports received from and / or generated by the device generating the integrated motion status report.
[0100] Similarly or alternatively, a second motion status report may include a second motion status metric associated with a second beam. In this way, different motion status reports may be used to report motion status metrics associated with different beams. In some implementations, a motion status report or motion status metric may be used as a BL report or metric. Subsequent reports or metrics may show the difference from the BL. In the example above, the first motion status report includes a first motion status metric. A device generating a second motion status report may determine the difference between the first and second motion status metrics, and the second motion status report may include the determined difference to show the second motion status metric. Similarly or alternatively, any other suitable representation of a motion status metric may be included in the motion status report.
[0101] Motion measurements may be determined for reflections associated with each of multiple transmit beams and / or receive beams. As a result, multiple motion measurements are determined. The number of motion measurements increases as the number of beams increases. Each beam is oriented in a manner unique to the device. For example, a particular transmit beam may be associated with a particular direction of propagation of transmissions through the transmit beam, and a particular receive beam may be associated with a particular direction of propagation of signals received through the receive beam. Motion measurements associated with a particular beam are associated with the motion of an object along the direction associated with the beam. For example, the device may receive a first set of reflections of radar RS resources transmitted through the first transmit beam for a UE traveling along a direction coinciding with the azimuth of the first transmit beam, and the device may receive a second set of reflections of radar RS resources transmitted through the second transmit beam for a UE (with the azimuth of the second transmit beam being more orthogonal to the direction of propagation of the UE than the azimuth of the first transmit beam). The device may determine a first motion measurement relative to the UE associated with the first transmit beam, and the device may determine a second motion measurement relative to the UE associated with the second transmit beam. Since the motion of the UE matches the orientation of the first transmit beam more than the orientation of the second transmit beam, the first motion measurement (such as a larger phase offset, a larger Doppler shift, or a larger Doppler diffusion) is larger than the second motion measurement. In this way, the device may determine multiple motion measurements that vary based on the beam orientation associated with the motion measurement and the motion of the UE being measured.
[0102] In some implementations, the device may filter one or more motion measurements from being used to generate motion state metrics, or the device may filter one or more motion state metrics from being included in a motion state report. For example, a motion state report may be specified to include a certain number of motion state metrics (such as one, two, four, or any other preferred number). The number of motion state metrics to be included may be indicated by the radar server 172. The device may include motion state metrics associated with the largest motion measurement (indicating the maximum motion of the UE in the associated direction) up to the number of motion state metrics in the report, along with one or more associations (such as beam indices associated with each motion state metric). For example, if a motion state report is to include one motion state metric, the device may determine the motion state metric based on the largest motion measurement. Thus, the motion state report includes the determined motion state metric for the largest motion measurement and its association with one or more parameters (e.g., beam indices for the transmit or receive beam).
[0103] As described above, the device performing method 500, which includes receiving reflections, may be the same device that transmits (in the case of a monostatic radar system) or a different device from the transmitting device (in the case of a multistatic radar system). The receiving device may be a base station (e.g., gNB) (which may be the same device that transmits). Similarly or alternatively, the receiving device may be an UE (which may be the same device or a different device from the transmitting device). If the receiving device is an UE, the UE may measure its own motion or the motion of an adjacent UE. If the receiving device is a base station (e.g., gNB), the base station (e.g., gNB) may measure the motion of the UE.
[0104] One or more configurations for motion detection services, such as a beam index, radar RS resources to be measured, a time-domain window to be measured, or a configuration of a frequency band to be measured, may be provided to the base station 102 by the radar server 172. The base station 102 may provide one or more configurations to one or more UEs 104 to perform motion detection operations (such as transmitting or receiving radar RS resources). Transmissions from the base station 102 to the UEs 104 may be via broadcast or groupcast messages (for example, including radar-specific system information blocks (SIBs) or positioning SIBs containing radar-specific information) or any preferred unicast messages.
[0105] Motion status metrics in one or more motion status reports may be used by the radar server 172 in any preferred manner. In some implementations, motion status metrics may be used by the radar server 172 to determine the location or trajectory of a UE based on the beam associated with the motion status metrics. In some implementations, motion status metrics may be used to determine a candidate base station 102 or handover criterion for handover, or to determine a criterion for cell selection. UE-specific information determined by the radar server 172 may also be retained in the radar server 172 for later use in one or more wireless network operations.
[0106] Throughout this specification, references to “one example,” “some example,” “some examples,” or “exemplary implementations” mean that any particular feature, structure, or characteristic described in relation to a feature and / or example may be included in at least one feature and / or example of the claimed subject matter. Therefore, occurrences of phrases such as “one example,” “some example,” “some examples,” or “in some implementations” or other similar phrases in various places throughout this specification do not necessarily all refer to the same feature, example, and / or limitation. Furthermore, any particular feature, structure, or characteristic may be combined in one or more examples and / or features.
[0107] Some parts of the detailed descriptions contained herein are presented with respect to algorithms or symbolic representations of operations for binary digital signals stored in the memory of a particular apparatus or dedicated computing device or platform. In the context of this particular specification, the term "particular apparatus, etc." includes a general-purpose computer that, once programmed, should perform specific operations according to instructions from program software. An algorithmic description or symbolic representation is an example of a technique used by a person skilled in the art of signal processing or related technology to communicate the gist of their work to others skilled in the art. An algorithm is here, and also in general, considered to be a self-consistent set of operations or similar signal operations that produce a desired result. In this context, operations or operations involve the physical manipulation of a physical quantity. While not always the case, such quantities usually take the form of electrical or magnetic signals that can be stored, transferred, combined, compared, or otherwise manipulated. It has been found that it is sometimes convenient to refer to such signals as bits, data, values, elements, symbols, characters, terms, digits, numerical values, etc., mainly because they are common usage. However, it should be understood that all of these terms or similar terms should be associated with the appropriate physical quantity and are merely labels for convenience. Unless otherwise specified, as is evident from the descriptions herein, any use of terms such as “processing,” “calculating,” “calculating,” and “determining” throughout this specification is understood to refer to actions or processes of specific devices, such as a dedicated computer, dedicated computing device, or similar dedicated electronic computing device. Therefore, in the context of this specification, a dedicated computer or similar dedicated electronic computing device is generally capable of manipulating or converting signals that are represented as physical electronic or magnetic quantities within the memory, registers, or other information storage devices, transmitting devices, or display devices of the dedicated computer or similar dedicated electronic computing device.
[0108] The detailed description above includes numerous specific details to give a complete understanding of the claimed subject matter. However, it will be understood by those skilled in the art that the claimed subject matter may be practiced without these specific details. In other cases, methods and apparatus that would be known to those skilled in the art are not described in detail so as not to obscure the claimed subject matter.
[0109] As used herein, the terms “and,” “or,” and “and / or” may have a variety of meanings, which are also expected to depend at least in part on the context in which such terms are used. Generally, when “or” is used to relate an enumeration such as A, B, or C, it here means A, B, and C in an inclusive sense, as well as A, B, or C in an exclusive sense. In addition, as used herein, the term “one or more” may be used to describe any single feature, structure, or characteristic, or to describe multiple features, structures, or characteristics, or any other combination of features, structures, or characteristics. However, it should be noted that this is merely an illustrative example, and the subject matter of the claims is not limited to this example.
[0110] While exemplary features and those currently considered to be exemplary are illustrated and described, it will be understood by those skilled in the art that various other modifications may be made and equivalents may be substituted without deviating from the claimed subject matter. In addition, many modifications may be made to adapt specific situations to the teachings of the claimed subject matter without deviating from the central concepts described herein.
[0111] Implementation examples are described in the following numbered clauses. 1. A method for supporting motion detection services in a wireless network, Obtaining one or more reflections of a signal transmitted by a first device, wherein the signal is associated with one or more beams of the first device, Determining one or more motion state metrics based on one or more reflections, This includes providing motion status reports to network entities within a wireless network, wherein, A motion status report includes one or more motion status metrics. The motion status of a user equipment (UE) is based on one or more motion status metrics included in the motion status report. 2. The method of Article 1, wherein one or more beams are One or more transmit beams of the first device, or One or more received beams of the first device This includes one or more of the following, where one or more motion state metrics are associated with measurements of pseudo-collocation (QCL) type D information related to one or more received beams. 3. One or more methods of clauses 1 to 2, wherein one or more motion state metrics are associated with one or more beams. One or more radio detection and ranging (radar) reference signal (RS) resources transmitted by a first device along one or more transmit beams, wherein each radar RS resource is associated with a specific transmit beam, One or more time windows associated with one or more transmit beams and / or one or more receive beams, wherein each time window is associated with a particular transmit beam or a particular receive beam, or One or more physical layer (PHY) channels of a first device, wherein one or more PHY channels are associated with the transmit beams of one or more transmit beams. This is based on the fact that one or more of these are associated with one or more motion state metrics. 4. One or more methods from clauses 1 to 3, wherein one or more radar RS resources are Downlink (DL) Channel Status Information RS (DL-CSI-RS), DL positioning reference signal (DL-PRS), A synchronization signal block (SSB) in which each SSB is associated with a specific transmit beam of a first device, Sidelink (SL)-SSB, where each SL-SSB is associated with a specific transmit beam of a first device, SL-CSI-RS, or SL-PRS Includes one or more of the following. 5. One or more methods of the provisions 1 to 3, wherein obtaining one or more reflections of signals includes obtaining reflections of one or more radar RS resources transmitted by the first device. 6. The method of Clause 1, wherein determining one or more motion state metrics is: Determining a first motion measurement based on one or more reflections, This includes determining a first motion state metric from one or more motion state metrics based on a first motion measurement. 7. One or more methods from clauses 1 to 6, wherein the first motion state metric is the first motion measurement. 8. One or more methods from clauses 1 to 6, wherein determining a first motion state metric comprises comparing a first motion measurement with one or more thresholds indicated by another network entity of the wireless network, wherein the first motion state metric is an indication of the comparison result. 9. One or more methods from clauses 1 to 8, wherein the first motion state metric is: No movement of the UE, based on the first motion measurement being smaller than the first threshold. Slow motion of the UE, based on the first motion measurement being greater than the first threshold and less than the second threshold, or Fast movement of the UE, based on the first motion measurement being greater than the second threshold. Includes the display. 10. The method of Article 1, wherein, Obtaining one or more reflections includes obtaining reflections of a first set of signals transmitted along a first beam, Determining one or more motion state metrics is Determining a first motion measurement based on the reflection of a first set of signals, This includes determining a first motion state metric from one or more motion state metrics based on a first motion measurement. 11. One or more methods from clauses 1 to 10, wherein, Obtaining one or more reflections further includes obtaining reflections of a second set of signals transmitted along the first beam, Determining one or more motion state metrics is Determining a baseline motion measurement based on the reflection of a second set of signals, wherein the baseline motion measurement is associated with the absence of motion in the environment of the first device. Determining the difference between a baseline motion measurement and a first motion measurement, further comprising the first motion state metric corresponding to that difference. 12. One or more methods of the provisions 1 to 10, further comprising the first device receiving a request from another device in a wireless network to use a second beam to determine one or more motion measurements while the first device sweeps by transmitting along a plurality of transmit beams including a first beam, wherein the second beam is the receive beam of the first device. 13. The method of Article 1, wherein, Acquiring one or more reflections of a signal includes acquiring reflections of a signal transmitted on the transmit beam of a first device during a first time window, Determining one or more motion state metrics is Determining a first motion measurement relative to the first time window based on the reflection of the signal transmitted during the first time window, This includes determining a first motion state metric from one or more motion state metrics based on a first motion measurement. 14. One or more methods from clauses 1 to 13, wherein each time window is: A sequence of symbols in a signal, or Non-consecutive symbols in a signal slot It includes multiple instances of one of the following. 15. One or more methods from clauses 1 to 13, wherein the first motion measurement is: The measured variation in the amplitude of the signal during the first time window, The measured variation in the received signal strength (RSS) of the signal during the first time window, The measured variation in the phase of the signal during the first time window, or Quantized channel Doppler response based on measured Doppler shift from the signal Includes one or more of the following. 16. One or more methods from clauses 1 to 13, wherein the first motion state metric is the first motion measurement. 17. One or more methods from clauses 1 to 13, wherein determining a first motion state metric comprises comparing a first motion measurement with one or more thresholds, wherein the first motion state metric is a representation of the comparison result. 18. One or more methods from clauses 1 to 17, wherein the first motion state metric is: No movement of the UE, based on the first motion measurement being smaller than the first threshold. Slow motion of the UE, based on the first motion measurement being greater than the first threshold and less than the second threshold, or Fast movement of the UE, based on the first motion measurement being greater than the second threshold. Includes the display. 19. One or more methods from clauses 1 to 13, wherein determining a first motion state metric comprises determining the difference between a first motion measurement and a baseline motion measurement associated with the absence of motion in the environment of the first device, wherein the first motion state metric is that difference. 20. The method of Article 1, wherein the motion status report is: One or more transmitted beams of one or more beams, One or more received beams of one or more beams, One or more radio detection and ranging (radar) reference signal (RS) resources transmitted by the first device, One or more time windows, or One or more physical layer (PHY) channels of the first device This indicates the association of one or more motion state metrics to one or more of the following. 21. One or more methods from clauses 1 to 20, wherein the association shown to one or more time windows is: This includes associating the start and end times of a time window associated with the transmit or receive beam of the first device. 22. One or more methods from clauses 1 to 20, wherein one or more motion state metrics include motion state metrics associated with a first beam of a first device. 23. One or more methods from Articles 1 to 22, Determining a second motion state metric associated with the second beam of the first device, The further includes providing a second motion status report to the network entity, wherein the second motion status report includes a display of a second motion status metric. 24. One or more methods from clauses 1 to 23, wherein the display of the second motion state metric includes the second motion state metric. 25. One or more methods from clauses 1 to 23, wherein the display of the second motion state metric includes the difference between the first motion state metric and the second motion state metric. 26. One or more methods from clauses 1 to 20, further comprising determining a plurality of motion measurements, wherein Each of the multiple motion measurements is associated with the movement of the UE along the direction of a single beam of the first device. One or more motion state metrics are determined based on a subset of multiple motion measurements that correspond to the maximum motion of the UE. 27. One or more methods from clauses 1 to 26, wherein one or more motion state metrics consist of a first motion state metric that corresponds to the maximum motion measurement and is associated with a first beam of a first device. 28. One or more methods from clauses 1 to 20, wherein one or more motion status metrics in the motion status report are: A first motion state metric associated with a first beam among one or more beams, and Includes a second motion state metric associated with the second beam among one or more beams. 29. One or more methods of the provisions 1 to 28, further comprising obtaining a second motion status report from the user equipment (UE), wherein The second motion status report includes a second motion status metric determined by the UE. The motion status report provided to the network entity includes multiple motion status reports, including a second motion status report. 30. One or more methods from clauses 1 to 20, wherein Each of the one or more time windows is associated with a different window identifier (ID). Each of the one or more time windows is associated with the same transmit beam based on the configuration of the transmit resource of the first device. The display of the association of one or more time windows to time windows in the motion status report includes the window ID of the time window. 31. One or more methods from clauses 1 to 20, wherein One or more motion state metrics are determined by the first device. The motion status report is provided to the network entity by the first device. A display is acquired by the first device before determining one or more motion state metrics, where the display is One or more beams to be used to determine one or more motion state metrics, One or more radar RS resources to be used to determine one or more motion state metrics, One or more time windows to be used to determine one or more motion state metrics, or One or more frequency bands in a broadcast message that should be used to determine one or more motion state metrics It consists of one or more of the following configurations. 32. The method of Clause 1, wherein one or more motion status metrics in the motion status report are Doppler shift measurement of the first device, Doppler diffusion measurement of the first device, The speed measurement of the first device, or Speed measurement of the first device Includes one or more of the following. 33. One or more methods from clauses 1 to 32, wherein the device is the first device. 34. One or more methods from Articles 1 to 33, wherein, The first device is one of the UEs or adjacent UEs. A network entity is one of several UEs configured to relay movement status reports to or from a base station. 35. One or more methods from clauses 1 to 33, wherein the first device is a base station. 36. The motion status of the user equipment (UE) is based on one or more motion status metrics included in the motion status report, using one or more methods from clauses 1 to 35. 37. A device configured to support motion detection services in a wireless network, At least one transceiver, At least one memory, The device includes at least one transceiver and at least one processor coupled to at least one memory, wherein the at least one processor provides the device with Obtaining one or more reflections of a signal transmitted by a first device via at least one transceiver, wherein the signal is associated with one or more beams of the first device, Determining one or more motion state metrics based on one or more reflections via at least one processor, It is configured to provide motion status reports to network entities in a wireless network via at least one transceiver, where the motion status report includes one or more motion status metrics. 38. A device of Clause 37, wherein one or more beams One or more transmit beams of the first device, or One or more received beams of the first device This includes one or more of the following, where one or more motion state metrics are associated with measurements of pseudo-collocation (QCL) type D information related to one or more received beams. 39. One or more devices of the provisions 37-38, wherein one or more motion state metrics are associated with one or more beams. One or more radio detection and ranging (radar) reference signal (RS) resources transmitted by a first device along one or more transmit beams, wherein each radar RS resource is associated with a specific transmit beam, One or more time windows associated with one or more transmit beams and / or one or more receive beams, wherein each time window is associated with a particular transmit beam or a particular receive beam, or One or more physical layer (PHY) channels of a first device, wherein one or more PHY channels are associated with the transmit beams of one or more transmit beams. This is based on the fact that one or more of these are associated with one or more motion state metrics. 40. One or more devices from clauses 37-39, wherein one or more radar RS resources are: Downlink (DL) Channel Status Information RS (DL-CSI-RS), DL positioning reference signal (DL-PRS), A synchronization signal block (SSB) in which each SSB is associated with a specific transmit beam of a first device, Sidelink (SL)-SSB, where each SL-SSB is associated with a specific transmit beam of a first device, SL-CSI-RS, or SL-PRS Includes one or more of the following. 41. One or more devices according to clauses 37-39, wherein, in order to acquire one or more reflections of signals, at least one processor is configured to cause the device to acquire reflections of one or more radar RS resources transmitted by the first device via at least one transceiver. 42. A device according to Clause 36, wherein at least one processor is provided to the device in order to determine one or more motion state metrics. A first motion measurement is determined based on one or more reflections via at least one processor. The system is configured to determine a first motion state metric from one or more motion state metrics based on a first motion measurement, via at least one processor. 43. One or more devices according to clauses 37-42, wherein the first motion state metric is the first motion measurement. 44. One or more devices according to clauses 37-42, wherein, in order to determine a first motion state metric, at least one processor is configured to cause the device, via at least one processor, to compare a first motion measurement with one or more thresholds determined by another network entity of the wireless network, wherein the first motion state metric is a display of the comparison result. 45. One or more devices from clauses 37 to 44, wherein the first motion state metric is: No movement of the UE, based on the first motion measurement being smaller than the first threshold. Slow motion of the UE, based on the first motion measurement being greater than the first threshold and less than the second threshold, and Fast movement of the UE, based on the first motion measurement being greater than the second threshold. Includes the display. 46. A device of Clause 37, wherein, To acquire one or more reflections, at least one processor is configured to cause the device to acquire reflections of a first set of signals transmitted along a first beam via at least one transceiver. To determine one or more motion state metrics, at least one processor is provided to the device. A first motion measurement is determined based on the reflection of a first set of signals via at least one processor. The system is configured to determine a first motion state metric from one or more motion state metrics based on a first motion measurement, via at least one processor. 47. One or more devices from clauses 37 to 46, wherein, To acquire one or more reflections, at least one processor is configured to cause the device to acquire reflections of a second set of signals transmitted along a first beam via at least one transceiver. To determine one or more motion state metrics, at least one processor is provided to the device. Determining a baseline motion measurement based on reflections of a second set of signals via at least one processor, wherein the baseline motion measurement is associated with the absence of motion in the environment of the first device. The system is configured to determine the difference between a baseline motion measurement and a first motion measurement via at least one processor, wherein the first motion state metric is that difference. 48. One or more devices according to clauses 37-46, wherein at least one processor is configured to cause the device to receive requests from another device in a wireless network via at least one transceiver to use a second beam to determine one or more motion measurements while the first device sweeps by transmitting along a plurality of transmit beams including a first beam, wherein the second beam is a receive beam of the first device. 49. A device of Clause 37, where, To acquire one or more reflections of a signal, at least one processor is configured to cause the device to acquire reflections of a signal transmitted on the transmit beam of the first device during a first time window via at least one transceiver. To determine one or more motion state metrics, at least one processor is provided to the device. A first motion measurement relative to the first time window is determined based on the reflection of the signal transmitted during the first time window via at least one processor. The system is configured to determine a first motion state metric from one or more motion state metrics based on a first motion measurement, via at least one processor. 50. One or more devices from clauses 37-49, wherein each time window is: A sequence of symbols in a signal, or Non-consecutive symbols in a signal slot It includes multiple instances of one of the following. 51. One or more devices from clauses 37-49, wherein the first motion measurement is: The measured variation in the amplitude of the signal during the first time window, The measured variation in the received signal strength (RSS) of the signal during the first time window, The measured variation in the phase of the signal during the first time window, or Quantized channel Doppler response based on measured Doppler shift from the signal Includes one or more of the following. 52. One or more devices according to clauses 37-49, wherein the first motion state metric is the first motion measurement. 53. One or more devices according to clauses 37-49, wherein at least one processor is configured to cause the device, via at least one processor, to compare a first motion measurement with one or more thresholds in order to determine a first motion state metric, wherein the first motion state metric is a representation of the comparison result. 54. One or more devices from clauses 37 to 54, wherein the first motion state metric is: No movement of the UE, based on the first motion measurement being smaller than the first threshold. Slow motion of the UE, based on the first motion measurement being greater than the first threshold and less than the second threshold, and Fast movement of the UE, based on the first motion measurement being greater than the second threshold. Includes the display. 55. One or more devices according to clauses 37-49, wherein, in order to determine a first motion state metric, at least one processor is configured to cause the device, via at least one processor, to determine the difference between a first motion measurement and a baseline motion measurement associated with the absence of motion in the environment of the first device, wherein the first motion state metric is that difference. 56. A device of Clause 37, wherein the motion status report is: One or more transmitted beams of one or more beams, One or more received beams of one or more beams, One or more radio detection and ranging (radar) reference signal (RS) resources transmitted by the first device, One or more time windows, or One or more physical layer (PHY) channels of the first device This indicates the association of one or more motion state metrics to one or more of the following. 57. One or more devices from clauses 37-56, wherein the association indicated to one or more time windows is: This includes associating the start and end times of a time window associated with the transmit or receive beam of the first device. 58. One or more devices according to clauses 37-56, wherein one or more motion state metrics include motion state metrics associated with a first beam of the first device. 59. One or more devices from clauses 37 to 58, wherein at least one processor is further provided to the device. A second motion state metric associated with the second beam of the first device is determined via at least one processor. The system is configured to cause network entities to provide a second motion status report via at least one transceiver, where the second motion status report includes a display of a second motion status metric. 60. One or more devices according to clauses 37-59, wherein the display of the second motion state metric includes the second motion state metric. 61. One or more devices according to clauses 37-59, wherein the display of the second motion state metric includes the difference between the first motion state metric and the second motion state metric. 62. One or more devices according to clauses 37-56, wherein at least one processor is configured to cause the device to determine a plurality of motion measurements via at least one processor, wherein Each of the multiple motion measurements is associated with the movement of the UE along the direction of a single beam of the first device. One or more motion state metrics are determined based on a subset of multiple motion measurements that correspond to the maximum motion of the UE. 63. One or more devices according to clauses 37-62, wherein one or more motion state metrics consist of a first motion state metric that corresponds to the maximum motion measurement and is associated with a first beam of the first device. 64. A device of Clause 37, wherein one or more motion status metrics in the motion status report are A first motion state metric associated with a first beam among one or more beams, and Includes a second motion state metric associated with the second beam among one or more beams. 65. One or more devices according to clauses 37-64, wherein at least one processor is configured to cause the device to obtain a second motion status report from a user device (UE) via at least one transceiver, The second motion status report includes a second motion status metric determined by the UE. The motion status report provided to the network entity includes multiple motion status reports, including a second motion status report. 66. One or more devices from clauses 37 to 65, wherein, Each of the one or more time windows is associated with a different window identifier (ID). Each of the one or more time windows is associated with the same transmit beam based on the configuration of the transmit resource of the first device. The display of the association of one or more time windows to time windows in the motion status report includes the window ID of the time window. 67. One or more devices from clauses 37 to 66, wherein, One or more motion state metrics will be determined by the first device. The motion status report will be provided to the network entity by the first device. A display will be acquired by the first device before determining one or more motion state metrics, where the display is One or more beams to be used to determine one or more motion state metrics, One or more radar RS resources to be used to determine one or more motion state metrics, One or more time windows to be used to determine one or more motion state metrics, or One or more frequency bands in a broadcast message that should be used to determine one or more motion state metrics It consists of one or more of the following configurations. 68. A device of Clause 37, wherein one or more motion status metrics in the motion status report are Doppler shift measurement of the first device, Doppler diffusion measurement of the first device, The speed measurement of the first device, or Speed measurement of the first device Includes one or more of the following. 69. One or more devices from the provisions 37-68, wherein the device is the first device. 70. One or more devices from clauses 36 to 68, wherein, The device is one of the UEs or adjacent UEs. A network entity is one of several UEs configured to relay movement status reports to or from a base station. 71. One or more devices from clauses 37-69, wherein the device is a base station. 72. One or more devices from clauses 37 to 71, wherein the motion state of the user equipment (UE) is based on one or more motion state metrics included in the motion state report. 73. A non-temporary computer-readable medium containing instructions, wherein when the instructions are executed by at least one processor of a device configured to support motion detection services in a wireless network, the device... Obtaining one or more reflections of a signal transmitted by a first device via at least one transceiver, wherein the signal is associated with one or more beams of the first device, Determining one or more motion state metrics based on one or more reflections via at least one processor, The system provides motion status reports to network entities in a wireless network via at least one transceiver, where the motion status report includes one or more motion status metrics. 74. A computer-readable medium relating to Article 73, wherein one or more beams are One or more transmit beams of the first device, or One or more received beams of the first device This includes one or more of the following, where one or more motion state metrics are associated with measurements of pseudo-collocation (QCL) type D information related to one or more received beams. 75. One or more computer-readable media from clauses 73-74, wherein one or more motion state metrics are associated with one or more beams. One or more radio detection and ranging (radar) reference signal (RS) resources transmitted by a first device along one or more transmit beams, wherein each radar RS resource is associated with a specific transmit beam, One or more time windows associated with one or more transmit beams and / or one or more receive beams, wherein each time window is associated with a particular transmit beam or a particular receive beam, or One or more physical layer (PHY) channels of a first device, wherein one or more PHY channels are associated with the transmit beams of one or more transmit beams. This is based on the fact that one or more of these are associated with one or more motion state metrics. 76. One or more computer-readable media from clauses 73-75, wherein one or more radar RS resources are: Downlink (DL) Channel Status Information RS (DL-CSI-RS), DL positioning reference signal (DL-PRS), A synchronization signal block (SSB) in which each SSB is associated with a specific transmit beam of a first device, Sidelink (SL)-SSB, where each SL-SSB is associated with a specific transmit beam of a first device, SL-CSI-RS, or SL-PRS Includes one or more of the following. 77. One or more computer-readable media from clauses 73 to 75, wherein the execution of an instruction causes the device to acquire reflections of one or more radar RS resources transmitted by the first device via at least one transceiver when acquiring one or more reflections of signals. 78. A computer-readable medium relating to Clause 73, wherein the execution of an instruction involves the device determining one or more motion state metrics. A first motion measurement is determined based on one or more reflections via at least one processor. A first motion state metric is determined from one or more motion state metrics based on a first motion measurement via at least one processor. 79. One or more computer-readable media from clauses 73 to 78, wherein the first motion state metric is the first motion measurement. 80. One or more computer-readable media from clauses 73 to 78, wherein the execution of an instruction causes the device, via at least one processor, to compare a first motion measurement with one or more thresholds determined by another network entity of the wireless network, in determining a first motion state metric, wherein the first motion state metric is a display of the comparison result. 81. One or more computer-readable media from clauses 73 to 80, wherein the first motion state metric is: No movement of the UE, based on the first motion measurement being smaller than the first threshold. Slow motion of the UE, based on the first motion measurement being greater than the first threshold and less than the second threshold, and Fast movement of the UE, based on the first motion measurement being greater than the second threshold. Includes the display. 82. A computer-readable medium as defined in Clause 73, wherein the execution of instructions is performed on a device. When acquiring one or more reflections, at least one transceiver is used to acquire reflections of a first set of signals transmitted along the first beam. When determining one or more motion state metrics, A first motion measurement is determined based on the reflection of a first set of signals via at least one processor. A first motion state metric is determined from one or more motion state metrics based on a first motion measurement via at least one processor. 83. One or more computer-readable media from clauses 73 to 82, wherein the execution of instructions is performed on a device. When acquiring one or more reflections, at least one transceiver is used to acquire reflections of a second set of signals transmitted along the first beam. When determining one or more motion state metrics, Determining a baseline motion measurement based on reflections of a second set of signals via at least one processor, wherein the baseline motion measurement is associated with the absence of motion in the environment of the first device. The difference between a baseline motion measurement and a first motion measurement is determined via at least one processor, wherein the first motion state metric is that difference. 84. One or more computer-readable media from clauses 73 to 82, wherein the execution of an instruction further causes the device to receive a request from another device in a wireless network via at least one transceiver to use a second beam to determine one or more motion measurements while the first device sweeps by transmitting along a plurality of transmit beams including a first beam, wherein the second beam is the receive beam of the first device. 85. A computer-readable medium of Article 73, wherein the execution of instructions is performed on a device. When acquiring one or more reflections of a signal, at least one transceiver is used to acquire reflections of the signal transmitted on the transmit beam of the first device during a first time window. When determining one or more motion state metrics, A first motion measurement relative to the first time window is determined based on the reflection of the signal transmitted during the first time window via at least one processor. A first motion state metric is determined from one or more motion state metrics based on a first motion measurement via at least one processor. 86. One or more computer-readable media from clauses 73 to 85, wherein each time window is: A sequence of symbols in a signal, or Non-consecutive symbols in a signal slot It includes multiple instances of one of the following. 87. One or more computer-readable media from clauses 73 to 85, wherein the first motion measurement is: The measured variation in the amplitude of the signal during the first time window, The measured variation in the received signal strength (RSS) of the signal during the first time window, The measured variation in the phase of the signal during the first time window, or Quantized channel Doppler response based on measured Doppler shift from the signal Includes one or more of the following. 88. One or more computer-readable media from clauses 73 to 85, wherein the first motion state metric is the first motion measurement. 89. One or more computer-readable media from clauses 73 to 85, wherein at least one processor is configured to cause the device to compare a first motion measurement with one or more thresholds via at least one processor when determining a first motion state metric, wherein the first motion state metric is a display of the comparison result. 90. One or more computer-readable media from clauses 73 to 89, wherein the first motion state metric is: No movement of the UE, based on the first motion measurement being smaller than the first threshold. Slow motion of the UE, based on the first motion measurement being greater than the first threshold and less than the second threshold, and Fast movement of the UE, based on the first motion measurement being greater than the second threshold. Includes the display. 91. One or more computer-readable media from clauses 73 to 85, wherein the execution of an instruction causes the device, via at least one processor, to determine the difference between a first motion measurement and a baseline motion measurement associated with the absence of motion in the environment of the first device, where the first motion state metric is that difference. 92. A computer-readable medium relating to Article 73, wherein the motion status report is: One or more transmitted beams of one or more beams, One or more received beams of one or more beams, One or more radio detection and ranging (radar) reference signal (RS) resources transmitted by the first device, One or more time windows, or One or more physical layer (PHY) channels of the first device This indicates the association of one or more motion state metrics to one or more of the following. 93. One or more computer-readable media from clauses 73 to 92, wherein the association indicated to one or more time windows is: This includes associating the start and end times of a time window associated with the transmit or receive beam of the first device. 94. One or more computer-readable media from clauses 73 to 92, wherein one or more motion state metrics include motion state metrics associated with a first beam of a first device. 95. One or more computer-readable media from clauses 73 to 94, wherein the execution of the instruction further involves the device, A second motion state metric associated with the second beam of the first device is determined via at least one processor. The network entity is prompted to provide a second motion status report via at least one transceiver, where the second motion status report includes a display of a second motion status metric. 96. One or more computer-readable media from clauses 73 to 94, wherein the display of the second motion state metric includes the second motion state metric. 97. One or more computer-readable media from clauses 73 to 94, wherein the display of the second motion state metric includes the difference between the first motion state metric and the second motion state metric. 98. One or more computer-readable media from clauses 73-92, wherein the execution of instructions further causes the device, via at least one processor, to determine a plurality of motion measurements, wherein Each of the multiple motion measurements is associated with the movement of the UE along the direction of a single beam of the first device. One or more motion state metrics are determined based on a subset of multiple motion measurements that correspond to the maximum motion of the UE. 99. One or more computer-readable media from clauses 73 to 98, wherein one or more motion state metrics consist of a first motion state metric that corresponds to the maximum motion measurement and is associated with a first beam of a first device. 100. One or more computer-readable media from clauses 73 to 92, wherein one or more motion status metrics in the motion status report are: A first motion state metric associated with a first beam among one or more beams, and Includes a second motion state metric associated with the second beam among one or more beams. 101. One or more computer-readable media from clauses 73-100, wherein the execution of the instruction further causes the device to obtain a second motion status report from the user equipment (UE) via at least one transceiver, wherein The second motion status report includes a second motion status metric determined by the UE. The motion status report provided to the network entity includes multiple motion status reports, including a second motion status report. 102. One or more computer-readable media from clauses 73 to 92, wherein Each of the one or more time windows is associated with a different window identifier (ID). Each of the one or more time windows is associated with the same transmit beam based on the configuration of the transmit resource of the first device. The display of the association of one or more time windows to time windows in the motion status report includes the window ID of the time window. 103. One or more computer-readable media from clauses 73 to 92, wherein One or more motion state metrics will be determined by the first device. The motion status report will be provided to the network entity by the first device. A display will be acquired by the first device before determining one or more motion state metrics, where the display is One or more beams to be used to determine one or more motion state metrics, One or more radar RS resources to be used to determine one or more motion state metrics, One or more time windows to be used to determine one or more motion state metrics, or One or more frequency bands in a broadcast message that should be used to determine one or more motion state metrics It consists of one or more of the following configurations. 104. A computer-readable medium relating to Clause 73, wherein one or more motion status metrics in the motion status report are Doppler shift measurement of the first device, Doppler diffusion measurement of the first device, The speed measurement of the first device, or Speed measurement of the first device Includes one or more of the following. 105. One or more computer-readable media from the provisions of 73 to 104, wherein the device is the first device. 106. One or more computer-readable media from the provisions 73 to 105, wherein The device is one of the UEs or adjacent UEs. A network entity is one of several UEs configured to relay movement status reports to or from a base station. 107. One or more computer-readable media from clauses 73 to 105, wherein the device is a base station. 108. The computer-readable media of Clause 73, where the motion status of user equipment (UE) is based on one or more motion status metrics included in the motion status report. 109. A device for supporting motion detection services in a wireless network, Means for obtaining one or more reflections of a signal transmitted by a first device, wherein the signal is associated with one or more beams of the first device; Means for determining one or more motion state metrics based on one or more reflections, The system includes means for providing motion status reports to network entities in a wireless network, wherein the motion status report includes one or more motion status metrics. 110. A device of clause 109, wherein one or more beams One or more transmit beams of the first device, or One or more received beams of the first device This includes one or more of the following, where one or more motion state metrics are associated with measurements of pseudo-collocation (QCL) type D information related to one or more received beams. 111. One or more devices of the provisions 109-110, wherein one or more motion state metrics are associated with one or more beams. One or more radio detection and ranging (radar) reference signal (RS) resources transmitted by a first device along one or more transmit beams, wherein each radar RS resource is associated with a specific transmit beam, One or more time windows associated with one or more transmit beams and / or one or more receive beams, wherein each time window is associated with a particular transmit beam or a particular receive beam, or One or more physical layer (PHY) channels of a first device, wherein one or more PHY channels are associated with the transmit beams of one or more transmit beams. This is based on the fact that one or more of these are associated with one or more motion state metrics. 112. One or more devices from clauses 109 to 111, wherein one or more radar RS resources are Downlink (DL) Channel Status Information RS (DL-CSI-RS), DL positioning reference signal (DL-PRS), A synchronization signal block (SSB) in which each SSB is associated with a specific transmit beam of a first device, Sidelink (SL)-SSB, where each SL-SSB is associated with a specific transmit beam of a first device, SL-CSI-RS, or SL-PRS Includes one or more of the following. 113. One or more devices from clauses 109 to 111, wherein means for acquiring one or more reflections of signals include means for acquiring reflections of one or more radar RS resources transmitted by the first device. 114. A device according to Clause 106, wherein means for determining one or more motion state metrics, Means for determining a first motion measurement based on one or more reflections, The system includes means for determining a first motion state metric from one or more motion state metrics based on a first motion measurement. 115. One or more devices according to clauses 109-114, wherein the first motion state metric is the first motion measurement. 116. One or more devices from clauses 109 to 114, wherein means for determining a first motion state metric include means for comparing a first motion measurement with one or more thresholds indicated by another network entity of the wireless network, wherein the first motion state metric is an indication of the comparison result. 117. One or more devices from clauses 109 to 117, wherein the first motion state metric is: No movement of the UE, based on the first motion measurement being smaller than the first threshold. Slow motion of the UE, based on the first motion measurement being greater than the first threshold and less than the second threshold, or Fast movement of the UE, based on the first motion measurement being greater than the second threshold. Includes the display. 118. A device of Clause 109, wherein, Means for obtaining one or more reflections include means for obtaining reflections of a first set of signals transmitted along a first beam, Means for determining one or more motion state metrics are: Means for determining a first motion measurement based on the reflection of a first set of signals, The system includes means for determining a first motion state metric from one or more motion state metrics based on a first motion measurement. 119. One or more devices from clauses 109 to 118, wherein, Means for obtaining one or more reflections further include means for obtaining reflections of a second set of signals transmitted along a first beam, Means for determining one or more motion state metrics are: Means for determining a baseline motion measurement based on the reflection of a second set of signals, wherein the baseline motion measurement is associated with the absence of motion in the environment of the first device, Means for determining the difference between a baseline motion measurement and a first motion measurement, wherein the first motion state metric corresponds to that difference. 120. One or more devices from the provisions 109-118, further comprising means for obtaining a request from another device in a wireless network to use a second beam to determine one or more motion measurements while the first device sweeps by transmitting along a plurality of transmit beams including a first beam, wherein the second beam is a receive beam of the first device. 121. A device of Clause 109, wherein, Means for obtaining one or more reflections of a signal include means for obtaining reflections of a signal transmitted on the transmit beam of a first device during a first time window, Means for determining one or more motion state metrics are: Means for determining a first motion measurement with respect to a first time window based on the reflection of a signal transmitted during a first time window, The system includes means for determining a first motion state metric from one or more motion state metrics based on a first motion measurement. 122. One or more devices from clauses 109 to 121, wherein each time window is: A sequence of symbols in a signal, or Non-consecutive symbols in a signal slot It includes multiple instances of one of the following. 123. One or more devices from clauses 109 to 121, wherein the first motion measurement is: The measured variation in the amplitude of the signal during the first time window, The measured variation in the received signal strength (RSS) of the signal during the first time window, The measured variation in the phase of the signal during the first time window, or Quantized channel Doppler response based on measured Doppler shift from the signal Includes one or more of the following. 124. One or more devices from clauses 109 to 121, wherein the first motion state metric is the first motion measurement. 125. One or more devices from clauses 109 to 121, wherein means for determining a first motion state metric include means for comparing a first motion measurement with one or more thresholds, wherein the first motion state metric is a representation of the comparison result. 126. One or more devices from clauses 109 to 125, wherein the first motion state metric is: No movement of the UE, based on the first motion measurement being smaller than the first threshold. Slow motion of the UE, based on the first motion measurement being greater than the first threshold and less than the second threshold, or Fast movement of the UE, based on the first motion measurement being greater than the second threshold. Includes the display. 127. One or more devices from clauses 109 to 121, wherein means for determining a first motion state metric include means for determining the difference between a first motion measurement and a baseline motion measurement associated with the absence of motion in the environment of the first device, wherein the first motion state metric is the difference. 128. A device of Clause 109, wherein the motion status report is: One or more transmitted beams of one or more beams, One or more received beams of one or more beams, One or more radio detection and ranging (radar) reference signal (RS) resources transmitted by the first device, One or more time windows, or One or more physical layer (PHY) channels of the first device This indicates the association of one or more motion state metrics to one or more of the following. 129. One or more devices from clauses 109 to 128, wherein the association indicated to one or more time windows is: This includes associating the start and end times of a time window associated with the transmit or receive beam of the first device. 130. One or more devices from clauses 109 to 128, wherein one or more motion state metrics include motion state metrics associated with a first beam of the first device. 131. One or more devices from clauses 109 to 130, Means for determining a second motion state metric associated with a second beam of a first device, The system further includes means for providing a second motion status report to a network entity, wherein the second motion status report includes a display of a second motion status metric. 132. One or more devices from clauses 109 to 131, wherein the display of the second motion state metric includes the second motion state metric. 133. One or more devices according to clauses 109 to 131, wherein the display of the second motion state metric includes the difference between the first motion state metric and the second motion state metric. 134. One or more devices from clauses 109-128, further comprising means for determining a plurality of motion measurements, wherein Each of the multiple motion measurements is associated with the movement of the UE along the direction of a single beam of the first device. One or more motion state metrics are determined based on a subset of multiple motion measurements that correspond to the maximum motion of the UE. 135. One or more devices from clauses 109 to 134, wherein one or more motion state metrics consist of a first motion state metric that corresponds to the maximum motion measurement and is associated with a first beam of the first device. 136. One or more devices from clauses 109 to 128, wherein one or more motion status metrics in the motion status report are: A first motion state metric associated with a first beam among one or more beams, and Includes a second motion state metric associated with the second beam among one or more beams. 137. One or more devices from clauses 109-136, further comprising means for obtaining a second motion status report from a user device (UE), wherein The second motion status report includes a second motion status metric determined by the UE. The motion status report provided to the network entity includes multiple motion status reports, including a second motion status report. 138. One or more devices from clauses 109 to 128, wherein, Each of the one or more time windows is associated with a different window identifier (ID). Each of the one or more time windows is associated with the same transmit beam based on the configuration of the transmit resource of the first device. The display of the association of one or more time windows to time windows in the motion status report includes the window ID of the time window. 139. One or more devices from clauses 109 to 128, wherein, One or more motion state metrics are determined by the first device. The motion status report is provided to the network entity by the first device. A display is acquired by the first device before determining one or more motion state metrics, where the display is One or more beams to be used to determine one or more motion state metrics, One or more radar RS resources to be used to determine one or more motion state metrics, One or more time windows to be used to determine one or more motion state metrics, or One or more frequency bands in a broadcast message that should be used to determine one or more motion state metrics It consists of one or more of the following configurations. 140. A device of Clause 109, wherein one or more motion state metrics in the motion state report are Doppler shift measurement of the first device, Doppler diffusion measurement of the first device, The speed measurement of the first device, or Speed measurement of the first device Includes one or more of the following. 141. One or more devices from clauses 109 to 140, wherein the device is the first device. 142. One or more devices from clauses 109 to 141, wherein, The first device is one of the UEs or adjacent UEs. A network entity is one of several UEs configured to relay movement status reports to or from a base station. 143. One or more devices from clauses 109 to 141, wherein the first device is a base station. 144. One or more devices from clauses 109 to 143, wherein the motion state of the user equipment (UE) is based on one or more motion state metrics included in the motion state report.
[0112] Therefore, it is intended that the claimed subject matter is not limited to the specific examples disclosed, but may also include all embodiments and equivalents of such claimed subject matter that fall within the scope of the attached claims. [Explanation of Symbols]
[0113] 100 Wireless Communication Systems 102 Base station, gNB 104 User Equipment (UE) 110 Geographic Coverage Areas 120 Communication Links 122 Backhaul Link 134 Backhaul Link 164 User Equipment (UE) 170 Core Network 172 Radar Server 180 mmW base station 182 User Equipment (UE) 184 mmW communication link 192 D2D P2P Link 212 data sources 220 Transmitting Processors 230 Transmit (TX) Multiple Input Multiple Output (MIMO) Processor 232 Modulator (MOD), Demodulator (DEMOD) 234 Antenna 236 MIMO detector 238 receiving processors 239 Data Sync 240 Controllers / Processors 242 memory 244 Communication Unit 246 Scheduler 252 Antenna 254 Modulator (MOD), Demodulator (DEMOD) 256 MIMO Detector 258 Receiver Processor 260 Data Sink 262 Data Source 264 Transmission Processor 266 Transmission (TX) Multiple-Input Multiple-Output (MIMO) Processor 280 Controller / Processor 282 Memory 300 User Equipment (UE) 310 Processor 311 Memory 312 Software (SW) 313 Sensor 314 Transceiver Interface 315 Transceiver 316 User Interface 318 Camera 320 Bus 330 Application Processor [[ID=...]]331 Digital Signal Processor (DSP) 332 Modem Processor 333 Video Processor 334 Sensor Processor 340 Wireless Transceiver 342 Transmitter 344 Receiver 346 Antenna 348 Wireless Signal 350 Wired Transceiver 352 Transmitter 354 Receiver 372 Motion Detection (MD) Session Module 400 Base Station 410 Processor 411 Memory 412 Software (SW) 415 Transceiver 420 Bus 440 Wireless Transceiver[[ID=...]] 442 Transmitter 444 Receiver Note: There seems to be an ellipsis in the original text where the numbering continues in the middle of the translation. The "..." in the translation indicates where the original text's numbering pattern continues. If you have any specific requirements regarding this ellipsis or need further clarification, please let me know. 446 Antenna 448 Wireless Signals 450 Wired Transceiver 452 Transmitter 454 Receiver 472 Motion Detection (MD) Session Module
Claims
1. A method performed by a device to support motion detection services in a wireless network, A step of acquiring one or more reflections of a signal transmitted by a first device through one or more transmitting beams of one or more beams, wherein the step of acquiring the one or more reflections of the signal includes a step of acquiring reflections of one or more radio detection and ranging (radar) reference signal (RS) resources transmitted by the first device, wherein the one or more radar RS resources Downlink (DL) Channel Status Information RS (DL-CSI-RS), DL positioning reference signal (DL-PRS), A synchronization signal block (SSB) in which each SSB is associated with a specific transmit beam of the first device, Sidelink (SL)-SSB, wherein each SL-SSB is associated with a specific transmit beam of the first device, SL-CSI-RS, or SL-PRS A step that includes one or more of the following, A step of determining one or more motion state metrics based on the one or more reflections, A step of providing a motion status report to a network entity in the wireless network, wherein the motion status report includes one or more motion status metrics. A method that includes [a certain feature].
2. The step of determining one or more motion state metrics is, A step of determining a first motion measurement value based on the one or more reflections, A step of determining a first motion state metric from among the one or more motion state metrics based on the first motion measurement value. Includes, The first motion state metric is the first motion measurement value, The method according to claim 1, wherein the step of determining the first motion state metric includes comparing the first motion measurement with one or more thresholds indicated by another network entity of the wireless network, and the first motion state metric is an indication of the comparison result.
3. The first motion state metric is, Related to the operating state of user equipment (UE), Based on the fact that the first motion measurement is smaller than the first threshold, there is no motion of the UE. The slow motion of the UE is based on the fact that the first motion measurement is greater than the first threshold and less than the second threshold, or Fast motion of the UE based on the first motion measurement being greater than the second threshold. The method according to claim 2, including the display.
4. The step of acquiring one or more reflections of the signal includes the step of acquiring reflections of a first set of signals transmitted along a first beam, The step of determining one or more motion state metrics is: A step of determining a first motion measurement based on the reflection of the first set of signals, A step of determining a first motion state metric from among the one or more motion state metrics based on the first motion measurement value. Includes, The step of acquiring one or more reflections of the signal further includes the step of acquiring reflections of a second set of signals transmitted along the first beam, The step of determining one or more motion state metrics is: A step of determining a baseline motion measurement based on the reflection of the second set of signals, wherein the baseline motion measurement is associated with the absence of motion in the environment of the first device, A step of determining the difference between the baseline motion measurement and the first motion measurement, wherein the first motion state metric corresponds to the difference. It further includes, The method described above is The first device sweeps by transmitting the first set or the second set of signals along a plurality of transmit beams, including the first beam, and further comprises the step of obtaining a request from another device in the wireless network to use the second beam to determine one or more motion measurements, The method according to claim 1, wherein the second beam is the receiving beam of the first device.
5. The step of acquiring one or more reflections of the signal includes the step of acquiring reflections of the signal transmitted on the transmit beam of the first device during a first time window, The step of determining one or more motion state metrics is, A step of determining a first motion measurement with respect to the first time window based on the reflection of the signal transmitted during the first time window, A step of determining a first motion state metric from among the one or more motion state metrics based on the first motion measurement value. The method according to claim 1, including the method described in claim 1.
6. Each time window is A sequence of symbols in a signal, or Non-consecutive symbols in the signal slots mentioned above It includes multiple of one of the following, The first motion measurement is, The measured variation in the amplitude of the signal during the first time window, The measured variation of the received signal strength (RSS) of the signal during the first time window, The measured variation in the phase of the signal during the first time window, or Quantized channel Doppler response based on measured Doppler shift from the aforementioned signal It includes one or more of the following, or The method according to claim 5, wherein the first motion state metric is the first motion measurement value.
7. The step of determining the first motion state metric includes the step of comparing the first motion measurement with one or more thresholds, The first motion state metric is a display of the comparison result, The first motion state metric is, Based on the fact that the first motion measurement is smaller than the first threshold, there is no movement of the user equipment (UE), The slow motion of the UE is based on the fact that the first motion measurement is greater than the first threshold and less than the second threshold, or Fast motion of the UE based on the first motion measurement being greater than the second threshold. The method according to claim 5, including the display of [the specified character].
8. The step of determining the first motion state metric includes determining the difference between the first motion measurement and a baseline motion measurement associated with the absence of motion in the environment of the first device, The method according to claim 5, wherein the first motion state metric is the difference.
9. The aforementioned motion status report, One or more transmitting beams of the one or more beams, One or more received beams of the one or more beams, The one or more radar RS resources transmitted by the first device, One or more time windows, or One or more physical layer (PHY) channels of the first device The method according to claim 1, which indicates the association of one or more motion state metrics to one or more of the following.
10. The indicated association to one or more time windows includes an association to the start and end times of the time window associated with the transmit beam or receive beam of the first device, or The one or more motion state metrics include a first motion state metric associated with a first beam of the first device, The method described above is The steps include determining a second motion state metric associated with a second beam of the first device, A step of providing a second motion status report to the network entity, wherein the second motion status report includes displaying the second motion status metric. Furthermore, The method according to claim 9, wherein the display of the second motion state metric includes the difference between the first motion state metric and the second motion state metric.
11. Further steps include determining multiple motion measurements, Each of the aforementioned multiple motion measurements is associated with the movement of the user equipment (UE) along the direction of a single beam of the first device. The one or more motion state metrics are determined based on a subset of the multiple motion measurements that correspond to the maximum motion of the UE. The method according to claim 9, wherein the one or more motion state metrics consist of a first motion state metric that corresponds to the maximum motion measurement and is associated with a first beam of the first device.
12. The one or more motion state metrics in the motion state report are A first motion state metric associated with the first beam among the one or more beams, and A second motion state metric associated with a second beam among the one or more beams Includes, The method described above is The system further includes a step to obtain a second motion status report from the user equipment (UE), The second motion state report includes the second motion state metric determined by the UE, The method according to claim 9, wherein the motion status report provided to the network entity comprises a plurality of motion status reports, including the second motion status report.
13. A device configured to support motion detection services in a wireless network, At least one transceiver, At least one memory, The at least one transceiver and the at least one processor coupled to the at least one memory and The device comprises, and the at least one processor provides the device, Acquiring one or more reflections of a signal transmitted by a first device through one or more transmitting beams of one or more beams via at least one transceiver, wherein acquiring the one or more reflections of the signal includes acquiring reflections of one or more radio detection and ranging (radar) reference signal (RS) resources transmitted by the first device, and the one or more radar RS resources are Downlink (DL) Channel Status Information RS (DL-CSI-RS), DL positioning reference signal (DL-PRS), A synchronization signal block (SSB) in which each SSB is associated with a specific transmit beam of the first device, Sidelink (SL)-SSB, wherein each SL-SSB is associated with a specific transmit beam of the first device, SL-CSI-RS, or SL-PRS Acquisition and acquisition, which include one or more of the following: The process involves determining one or more motion state metrics based on one or more reflections via the at least one processor, To provide a motion status report to a network entity in the wireless network via at least one transceiver, wherein the motion status report includes one or more motion status metrics. A device configured to perform a certain action.
14. A non-temporary computer-readable recording medium storing instructions, wherein when the instructions are executed by at least one processor of a device configured to support motion detection services in a wireless network, the device causes the device to perform the method according to any one of claims 1 to 12.