User equipment in a wireless communication system, base station and method performed thereby

Abstract

The present disclosure provides a user equipment in a wireless communication system, a base station and methods performed by the same. A method performed by a user equipment, UE, in a wireless communication system comprises: receiving, from a base station, a reference signal; and transmitting, to the base station, reporting information comprising a reported value of a measurement quantity related to the reference signal based on an association between a plurality of measurement value ranges of the measurement quantity and a plurality of quantization steps, wherein the plurality of quantization steps comprises at least two different quantization steps.

Description

Technical Field

[0001] This disclosure relates to the field of wireless communication technology, and more specifically, to user equipment, base stations, and methods performed thereon in wireless communication systems. Background Technology

[0002] Given the successive generations of wireless communication development, these technologies have primarily been developed for human-oriented services such as voice calls, multimedia services, and data services. With the commercialization of 5th-generation (5G) communication systems, the number of connected devices is expected to grow exponentially. These will increasingly connect to communication networks. Examples of the Internet of Things (IoT) can include vehicles, robots, drones, home appliances, displays, smart sensors connected to various infrastructures, construction machinery, and factory equipment. Mobile devices are expected to evolve in various forms, such as augmented reality glasses, virtual reality headsets, and holographic devices. Efforts are underway to develop improved 6G communication systems to provide a wide range of services by connecting hundreds of billions of devices and things in the sixth-generation (6G) era.

[0003] The 6G communication system, expected to be commercially available around 2030, will offer significant improvements in all aspects compared to existing 5G systems. Its peak speed will reach at least 50 Gbit / s, user experience speed will reach at least 300 Mbit / s, air interface latency will be less than 1 ms, and air interface reliability will reach 10^(-5). In addition to these fundamental communication indicators, the 6G communication system will also possess sensing capabilities, AI-related capabilities, and better security, interoperability, and sustainability.

[0004] To achieve the aforementioned performance indicators in 6G communication systems, more advanced air interface and network technologies are needed. Currently, the evolution of extreme multiple input multiple output (MIMO) is being considered, including the use of very large-scale antenna arrays, the development and evolution of distributed antenna systems, and the design of MIMO air interface algorithms assisted by artificial intelligence (AI). This technology can achieve higher spectral efficiency, greater coverage, and more precise positioning and sensing capabilities. Furthermore, technologies that contribute to improving high-frequency coverage, such as metamaterial-based lenses and antennas, novel antenna architectures, and reconfigurable intelligence surfaces (RIS), also require further evolution and development.

[0005] To meet the new functionalities added to 6G communication systems, it is necessary to develop new technologies in areas such as network energy saving, air interface security, and network security, while also studying the feasibility of converged technologies such as integrated communication and sensing.

[0006] In addition, to improve spectrum efficiency and overall network performance, the following technologies have been developed for 6G communication systems: full-duplex technology to enable uplink and downlink transmissions to use the same frequency resources simultaneously; network technologies that utilize satellites, high-altitude platform stations (HAPS), etc., in a comprehensive manner; improved network architecture to support mobile base stations, etc., and to enable network operation optimization and automation; dynamic spectrum sharing technology based on spectrum usage prediction and conflict avoidance; the use of artificial intelligence (AI) in wireless communication to improve overall network operation by utilizing AI from the design phase of 6G development and internalizing end-to-end AI support functions; and next-generation distributed computing technologies that overcome the computing power limitations of user equipment (UE) by leveraging ultra-high-performance communication and computing resources (such as mobile edge computing (MEC), cloud, etc.) achievable on the network. Furthermore, efforts are continuing to enhance connectivity between devices, optimize networks, promote the software-defined networking of network entities, and increase the openness of wireless communications by designing new protocols to be used in 6G communication systems, developing mechanisms for achieving hardware-based secure environments and secure data use, and developing technologies for maintaining privacy.

[0007] The research and development of 6G communication systems, encompassing hyper-connectivity for both person-to-machine (P2M) and machine-to-machine (M2M) interactions, is expected to deliver the next wave of hyper-connected experiences. Specifically, services such as truly immersive extended reality (XR), high-fidelity mobile holograms, and digital replicas are anticipated to be provided through 6G communication systems. Furthermore, services such as remote surgery for enhanced security and reliability, industrial automation, and emergency response will be available via 6G communication systems, enabling the technology to be applied across a wide range of sectors including industry, healthcare, automotive, and home appliances. Summary of the Invention

[0008] Embodiments of this disclosure provide a method performed by a user equipment (UE) in a wireless communication system, comprising: receiving a reference signal from a base station; and sending, based on an association between a plurality of measurement value ranges of a measurement quantity and a plurality of quantization step sizes, reporting information to the base station including reported values ​​of the measurement quantity related to the reference signal, wherein the plurality of quantization step sizes include at least two different quantization step sizes.

[0009] Embodiments of this disclosure provide a method performed by a base station in a wireless communication system, comprising: transmitting a reference signal to a user equipment (UE); and receiving from the UE a reporting information comprising reported values ​​of the measurement quantity related to the reference signal, based on the association between a plurality of measurement value ranges and a plurality of quantization step sizes, wherein the plurality of quantization step sizes includes at least two different quantization step sizes.

[0010] Embodiments of this disclosure provide a user equipment (UE) in a wireless communication system, including: a transceiver configured to transmit and receive signals; and a processor coupled to the transceiver and configured to perform a method executed by the UE in the wireless communication system according to embodiments of this disclosure.

[0011] Embodiments of this disclosure provide a base station in a wireless communication system, including: a transceiver configured to transmit and receive signals; and a processor coupled to the transceiver and configured to perform a method performed by the base station in the wireless communication system according to embodiments of this disclosure.

[0012] Embodiments of this disclosure provide a computer-readable medium having computer-readable instructions stored thereon, which, when executed by a processor, are used to implement a method performed by a base station and / or a user equipment (UE) in a wireless communication system according to embodiments of this disclosure.

[0013] The method provided in this disclosure, performed by a user equipment (UE) and / or a base station in a wireless communication system, effectively avoids measurement performance loss and resource waste by reporting measurement results through dynamic quantization. Attached Figure Description

[0014] To gain a more complete understanding of this disclosure and its advantages, reference is now made to the following description in conjunction with the accompanying drawings, wherein like reference numerals denote like parts:

[0015] Figure 1 An example wireless network according to an embodiment of the present disclosure is shown;

[0016] Figure 2 An example base station according to an embodiment of the present disclosure is shown;

[0017] Figure 3An example user equipment according to an embodiment of the present disclosure is shown;

[0018] Figure 4 An example one-to-one mapping relationship between RSRP ratio and beam pointing deviation according to an embodiment of the present disclosure is shown;

[0019] Figure 5 An example one-to-one mapping relationship between the equivalent channel estimation ratio and beam pointing deviation according to embodiments of the present disclosure is shown;

[0020] Figure 6 An example implementation of a UE reporting to different regions based on different quantization requirements according to an embodiment of the present disclosure is shown;

[0021] Figure 7 A flowchart illustrating a method performed by a user equipment (UE) in a wireless communication system according to an embodiment of the present disclosure is shown;

[0022] Figure 8 A flowchart is shown showing a method performed by a base station in a wireless communication system according to an embodiment of the present disclosure;

[0023] Figure 9 A schematic diagram of a base station according to an embodiment of the present disclosure is shown;

[0024] Figure 10 A schematic diagram of a user equipment (UE) according to an embodiment of the present disclosure is shown;

[0025] Figure 11 An example implementation of a UE reporting to different regions based on different quantization requirements, according to an embodiment of this disclosure, is shown;

[0026] Figure 12 An example is shown that, according to an embodiment of the present disclosure, a two-to-one mapping relationship is formed using two RSRP ratios and an angle information;

[0027] Figure 13 An example implementation of beam management using the RSRP ratio as a measurement quantity according to embodiments of this disclosure is shown;

[0028] Figure 14 An example implementation of a UE reporting to different regions based on different quantization requirements, according to an embodiment of this disclosure, is shown;

[0029] Figure 15 An example implementation of a UE reporting to different regions based on different quantization requirements, according to an embodiment of this disclosure, is shown;

[0030] Figure 16 An example implementation of a UE reporting to different regions based on different quantization requirements, according to an embodiment of this disclosure, is shown;

[0031] Figure 17 An example implementation of a UE reporting to different regions based on different quantization requirements, according to an embodiment of this disclosure, is shown. Detailed Implementation

[0032] The following description, with reference to the accompanying drawings, is provided to aid in a thorough understanding of the various embodiments of this disclosure as defined by the claims and their equivalents. This description includes various specific details to aid understanding but should be considered exemplary only. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the various embodiments described herein without departing from the scope and spirit of this disclosure. Furthermore, for clarity and brevity, descriptions of well-known functions and structures may be omitted.

[0033] The terms and wording used in the following description and claims are not limited to their dictionary meanings, but are merely used by the inventors to enable a clear and consistent understanding of this disclosure. Therefore, it will be apparent to those skilled in the art that the following description of various embodiments of this disclosure is for illustrative purposes only and not for limiting the purpose of this disclosure as defined in the appended claims and their equivalents.

[0034] It should be understood that the singular forms of “one,” “an,” and “the” include plural references unless the context clearly indicates otherwise. Thus, for example, the reference to “component surface” includes one or more such surfaces.

[0035] The terms “comprising” or “may include” refer to the presence of a corresponding disclosed function, operation, or component that may be used in the various embodiments of this disclosure, rather than limiting the presence of one or more additional functions, operations, or features. Furthermore, the terms “comprising” or “having” may be interpreted as indicating certain characteristics, numbers, steps, operations, constituent elements, components, or combinations thereof, but should not be construed as excluding the possibility of the presence of one or more other characteristics, numbers, steps, operations, constituent elements, components, or combinations thereof.

[0036] The term "or" as used in the various embodiments of this disclosure includes any of the listed terms and all combinations thereof. For example, "A or B" may include A, may include B, or may include both A and B.

[0037] Unless otherwise defined, all terms used in this disclosure (including technical or scientific terms) have the same meaning as understood by one of those skilled in the art as described herein. Common terms as defined in dictionaries are to be interpreted as having a meaning consistent with the context in the relevant technical field and should not be interpreted ideally or overly formally unless expressly defined in this disclosure.

[0038] The accompanying drawings and various embodiments used to illustrate the principles of this disclosure in this patent document are for illustrative purposes only and should not be construed as limiting the scope of this disclosure in any way. Those skilled in the art will understand that the principles of this disclosure can be implemented in any suitably arranged system or apparatus.

[0039] Before proceeding with the following detailed description, it may be advantageous to define certain words and phrases used throughout the patent literature. The term “connection” and its derivatives refer to any direct or indirect communication between two or more elements, regardless of whether those elements are physically in contact with each other. The terms “transmit,” “receive,” and “transmit,” and their derivatives encompass both direct and indirect communication. The terms “comprise” and “include,” and their derivatives mean inclusion without limitation. The term “or” is concurrent, meaning both and / or. The phrase “associated with,” and its derivatives mean including, being included in, interconnected with, containing, being contained within, connected to or connected with, coupled to or coupled with, able to communicate with, cooperate with, intertwine, juxtapose, proximate, bound to or bound with, having, possessing attributes, having a relationship with, or having a relationship with, etc. The term “controller” means any device, system, or part thereof that controls at least one operation. Such a controller may be implemented in hardware or in a combination of hardware and software and / or firmware. The functionality associated with any particular controller, whether local or remote, can be centralized or distributed. The phrase "at least one" when used to list items means that different combinations of one or more of the listed items can be used, and it is possible that only one item in the list is needed. For example, "at least one of A, B, and C" includes any of the following combinations: A, B, C; A and B; A and C; B and C; and only A, only B, and only C. Similarly, the term "set" means one or more. Therefore, a set of items can be a single item or a set of two or more items.

[0040] Furthermore, the various functions described below can be implemented or supported by one or more computer programs, each function being formed by computer-readable program code and embodied in a computer-readable medium. The terms "application" and "program" refer to one or more computer programs, software components, instruction sets, procedures, functions, objects, classes, instances, associated data, or portions thereof suitable for implementation in appropriate computer-readable program code. The phrase "computer-readable program code" includes any type of computer code, including source code, object code, and executable code. The phrase "computer-readable medium" includes any type of medium accessible by a computer, such as read-only memory (ROM), random access memory (RAM), hard disk drive, compact disc (CD), digital video disc (DVD), or any other type of storage. "Non-transitory" computer-readable media excludes wired, wireless, optical, or other communication links that transmit transient electrical or other signals. Non-transitory computer-readable media includes media in which data can be permanently stored and media such as rewritable optical discs or erasable memory devices in which data can be stored and later rewritten.

[0041] Definitions for certain other words and phrases are provided throughout this patent document. Those skilled in the art will understand that, in many, if not the most, instances, such definitions apply to both prior and future use of the words and phrases defined in this way.

[0042] The figures and various embodiments included herein, used to illustrate the principles of this disclosure, are merely illustrative and should not be construed in any way as limiting the scope of this disclosure. Furthermore, those skilled in the art will understand that the principles of this disclosure can be implemented in any suitably arranged wireless communication system.

[0043] The following Figures 1 to 3 Various embodiments of this disclosure implemented in wireless communication systems are described. Figures 1 to 3 The description does not imply any physical or architectural limitations on the ways in which different embodiments can be implemented. Different embodiments of this disclosure can be implemented in any suitably arranged communication system.

[0044] Figure 1 An example wireless network according to an embodiment of this disclosure is shown. Figure 1 The embodiments of the wireless network shown are for illustrative purposes only. Other embodiments of the wireless network 100 may be used without departing from the scope of this disclosure.

[0045] like Figure 1As shown, the wireless network includes a base station (next generation nodeB, gNB or gNodeB) 101, gNB 102, and gNB 103. gNB 101 communicates with gNB 102 and gNB 103. gNB 101 also communicates with at least one network 130 such as the Internet, Internet Protocol (IP) networks, or other data networks.

[0046] gNB 102 provides wireless broadband access to network 130 to multiple first user equipments (UEs) within coverage area 120 of gNB 102. The multiple first UEs include UE 111, which may be located in a small business (SB); UE 112, which may be located in an enterprise (E); UE 113, which may be located in a WiFi hotspot (HS); UE 114, which may be located in a first residence (R1); UE 115, which may be located in a second residence (R2); and UE 116, which may be a mobile device (M) such as a cellular phone, wireless laptop, or wireless personal digital assistant (PDA). gNB 103 provides wireless broadband access to network 130 to multiple second UEs within coverage area 125 of gNB 103. The multiple second UEs include UE 115 and UE 116, and subscriber stations (SS, such as UEs) 117, 118, and 119. In some embodiments, one or more of gNBs 101 and 103 may communicate with each other and UE 111116 using existing wireless communication technologies, and one or more of UEs 111 and 119 may communicate directly with each other (e.g., UE 117 and 119) using other existing or proposed wireless communication technologies.

[0047] Depending on the network type, the term "base station" or "BS" can refer to any component (or set of components) configured to provide wireless access to a network, such as a transmit point (TP), transmit-receive point (TRP), enhanced (or "evolved") base station (eNodeB or eNB), 5G base station (gNB), macro cell, femtocell, wireless fidelity (WiFi) access point (AP), or other wireless-capable devices. A base station can provide wireless access according to one or more wireless communication protocols, such as 3GPP 5G new radio (NR), Long Term Evolution (LTE), LTE-Advanced (LTE A), high-speed packet access (HSPA), WiFi 802.11a / b / g / n / ac, etc. For convenience, various names for base station type devices and functions may be used interchangeably in this patent document to refer to network infrastructure components that provide wireless access to remote terminals. Furthermore, depending on the network type, the term "User Equipment" (UE) can refer to any component such as a mobile station (MS), user station (SS), remote terminal, wireless terminal, receiving point, or user device. For convenience, various names for user equipment type devices and functions may be used interchangeably in this patent document to refer to remote wireless devices that wirelessly access the BS regardless of whether the UE is a mobile device (such as a mobile phone or smartphone) or is generally considered a fixed device (such as a desktop computer or vending machine).

[0048] The dashed lines indicate the approximate extent of coverage areas 120 and 125, which are shown as roughly circular for illustrative and explanatory purposes only. It should be clearly understood that coverage areas such as 120 and 125 associated with the gNB can have other shapes, including irregular shapes, depending on the configuration of the gNB and variations in the wireless environment associated with natural and man-made obstacles.

[0049] As described in more detail below, one or more of UEs 111 and 119 include circuitry, programming, or a combination thereof. In some embodiments, one or more of gNBs 101 and 103 include circuitry, programming, or a combination thereof.

[0050] although Figure 1 An example of a wireless network is shown, but more can be found on... Figure 1Various modifications can be made. For example, wireless network 100 can include any number of gNBs and any number of UEs in any suitable arrangement. Furthermore, gNB 101 can communicate directly with any number of UEs and provide those UEs with wireless broadband access to network 130. Similarly, each gNB 102 or 103 can communicate directly with network 130 and provide UEs with direct wireless broadband access to network 130. Additionally, gNBs 101, 102, and / or 103 can provide access to other or additional external networks, such as external telephone networks or other types of data networks.

[0051] Figure 2 An example base station according to an embodiment of the present disclosure is shown. Figure 2 The embodiment of gNB 102 shown is for illustrative purposes only, and Figure 1 gNBs 101 and 103 can have the same or similar configurations. However, gNBs come in a variety of configurations, and Figure 2 This disclosure is not intended to limit the scope to any particular implementation of gNB.

[0052] like Figure 2 As shown, gNB 102 includes multiple antennas 200a 200n, multiple radio frequency (RF) transceivers 201a 201n, transmit (TX) processing circuitry 203, and receive (RX) processing circuitry 204. gNB 102 also includes a controller / processor 205, a memory 206, and a backhaul or network interface (IF) 207.

[0053] RF transceivers 201a and 201n receive incoming RF signals, such as signals transmitted by the UE in network 100, from antennas 200a and 200n. RF transceivers 201a and 201n down-convert the incoming RF signals to generate intermediate frequency (IF) or baseband signals. The IF or baseband signal is sent to RX processing circuitry 204, which generates a processed baseband signal by filtering, decoding, and / or digitizing the baseband or IF signal. RX processing circuitry 204 sends the processed baseband signal to controller / processor 205 for further processing.

[0054] TX processing circuit 203 receives analog or digital data (such as voice data, web data, email, or interactive video game data) from controller / processor 205. TX processing circuit 203 encodes, multiplexes, and / or digitizes the outgoing baseband data to generate a processed baseband or IF signal. RF transceivers 201a and 201n receive the processed baseband or IF signal from TX processing circuit 203 and up-convert the baseband or IF signal into an RF signal transmitted via antennas 201a and 201n.

[0055] The controller / processor 205 may include one or more processors or other processing devices that control the overall operation of the gNB 102. For example, the controller / processor 205 may control the reception of forward channel signals and the transmission of reverse channel signals by the RF transceivers 201a 201n, the RX processing circuit 204, and the TX processing circuit 203, according to known principles. The controller / processor 205 may also support additional functions, such as more advanced wireless communication capabilities.

[0056] For example, the controller / processor 205 can support beamforming or directional routing operations, where outgoing signals from multiple antennas 200a 200n are weighted differently to effectively redirect the outgoing signals in the desired direction. Any of a variety of other functions can be supported in the gNB 102 via the controller / processor 205.

[0057] The controller / processor 205 is also capable of executing programs and other processes located in the memory 206, such as the operating system (OS). The controller / processor 205 can move data into or out of the memory 206 as needed by the executing process.

[0058] The controller / processor 205 is also connected to a backhaul or network interface 207. The backhaul or network interface 207 allows the gNB 102 to communicate with other devices or systems via a backhaul connection or over a network. Interface 207 can support communication via any suitable wired or wireless connection(s). For example, when the gNB 102 is implemented as part of a cellular communication system (such as a cellular communication system supporting 5G, LTE, or LTE A), interface 207 can allow the gNB 102 to communicate with other gNBs via a wired or wireless backhaul connection. When the gNB 102 is implemented as an access point, interface 207 can allow the gNB 102 to communicate via a wired or wireless local area network or via a wired or wireless connection to a larger network (such as the Internet). Interface 207 includes any suitable structure that supports communication via wired or wireless connections such as Ethernet or RF transceivers.

[0059] Memory 206 is connected to controller / processor 205. A portion of memory 206 may include random access memory (RAM), and another portion of memory 206 may include flash memory or other read-only memory (ROM).

[0060] although Figure 2 An example of gNB 102 is shown, but it is possible to see more. Figure 2 Various changes can be made. For example, gNB 102 can include any number of Figure 2 Each component is shown in the diagram. As a specific example, an access point may include multiple interfaces 207, and the controller / processor 205 may support routing functionality to route data between different network addresses. As another specific example, although shown as a single instance of TX processing circuitry 203 and a single instance of RX processing circuitry 204, gNB102 may include multiple instances of each (such as one per RF transceiver). For example, Figure 2 The various components can be combined, further subdivided, or omitted, and additional components can be added as needed.

[0061] Figure 3 An example user equipment according to an embodiment of the present disclosure is shown. Figure 3 The embodiment of UE 116 shown is for illustrative purposes only, and Figure 1 UEs 111, 115, 117, and 119 can have the same or similar configurations. However, UEs appear in multiple configurations, and Figure 3 This disclosure is not intended to limit the scope to any particular implementation of the UE.

[0062] like Figure 3 As shown, UE 116 includes an antenna 301, a radio frequency (RF) transceiver 302, a TX processing circuit 303, a microphone 304, and a receive (RX) processing circuit 305. UE 116 also includes a speaker 306, a controller or processor 307, an input / output (I / O) interface (IF) 308, an input device 309, a touchscreen display 310, and memory 311. Memory 311 includes an OS 312 and one or more applications 313.

[0063] RF transceiver 302 receives incoming RF signals transmitted by gNB of network 100 from antenna 301. RF transceiver 302 down-converts the incoming RF signals to generate IF or baseband signals. The IF or baseband signals are sent to RX processing circuitry 305, which generates processed baseband signals by filtering, decoding, and / or digitizing the baseband or IF signals. RX processing circuitry 305 sends the processed baseband signals to speaker 306 (e.g., for voice data) or processor 307 for further processing (e.g., for web browsing data).

[0064] TX processing circuit 303 receives analog or digital voice data from microphone 304 or other outgoing baseband data (such as web data, email, or interactive video game data) from processor 307. TX processing circuit 303 encodes, multiplexes, and / or digitizes the outgoing baseband data to generate a processed baseband or IF signal. RF transceiver 302 receives the processed baseband or IF signal from TX processing circuit 303 and up-converts the baseband or IF signal into an RF signal transmitted via antenna 301.

[0065] Processor 307 may include one or more processors or other processing devices and executes OS 312 stored in memory 311 to control the overall operation of UE 116. For example, processor 307 may control the reception of forward channel signals and the transmission of reverse channel signals by RF transceiver 302, RX processing circuitry 305, and TX processing circuitry 303 according to known principles. In some embodiments, processor 307 includes at least one microprocessor or microcontroller.

[0066] Processor 307 is also capable of executing other processes and programs located in memory 311, such as processes for CSI (Channel State Information) reporting on the uplink channel. Processor 307 can move data into or out of memory 311 as needed for executing processes. In some embodiments, processor 307 is configured to execute application 313 based on OS 312 or in response to signals received from gNB or operator. Processor 307 is also coupled to I / O interface 308, which provides UE 116 with the ability to connect to other devices such as laptops and laptops. I / O interface 308 is the communication path between these accessories and processor 307.

[0067] The processor 307 is also connected to the touchscreen display 310. The user of the UE 116 can use the touchscreen display 310 to input data into the UE 116. The touchscreen display 310 can be a liquid crystal display, a light-emitting diode display, or other display capable of rendering text and / or at least limited graphics such as those from a website.

[0068] Memory 311 is connected to processor 307. A portion of memory 311 may include RAM, and another portion of memory 311 may include flash memory or other ROM.

[0069] although Figure 3 An example of UE 116 is shown, but it is possible to modify it. Figure 3 Make various changes. For example, Figure 3 The various components can be combined, further subdivided, or omitted, and additional components can be added as needed. As a specific example, processor 307 can be divided into multiple processors, such as one or more central processing units (CPUs) and one or more graphics processing units (GPUs). Moreover, although... Figure 3 The UE 116 is shown configured as a mobile phone or smartphone, but the UE can be configured to operate as other types of mobile or fixed devices.

[0070] Exemplary embodiments of this disclosure are further described below with reference to the accompanying drawings.

[0071] The text and accompanying drawings are provided by way of example only to aid in understanding this disclosure. They should not be construed as limiting the scope of this disclosure in any way. Although certain embodiments and examples have been provided, it will be apparent to those skilled in the art, based on the content disclosed herein, that changes may be made to the illustrated embodiments and examples without departing from the scope of this disclosure.

[0072] In this disclosure, users can refer to user equipment (UE), terminal, user-side equipment, customer premises equipment (CPE), etc.

[0073] In this disclosure, a group of / a set of can be used interchangeably with one or more.

[0074] In NR systems, beam management is a method used to find the optimal transmission beam to improve signal transmission quality and further increase system transmission capacity. Beam management can be implemented based on beam scanning. Beam scanning refers to the following: the transmitter uses one or more beams to send one or more reference signals (RS) associated with each of those beams; the receiver receives these RSs and calculates the received power (RSRP) on each RS, for example, RSRP (reference signal received power). The beam corresponding to the RS with the strongest power is determined as the optimal transmission beam. In other words, when the transmitter uses the optimal transmission beam to send data, the receiver can obtain the strongest power. Therefore, to find the optimal transmission beam, the transmitter needs to traverse all candidate beams.

[0075] However, continuing with the current NR beam management approach in future 6G communication systems will face many problems. For example, 6G systems will require significantly more RS (Radio Retention) resources. This is because, using the current ergonomic beam scanning-based beam management method, RS resource overhead is directly proportional to the number of supported beams. For instance, current millimeter-wave products can support 16 wide beams, each containing 10 narrow beams, meaning it consumes 176 RS resources (e.g., corresponding to 16 wide beams + 160 narrow beams). In future 6G communication systems, to support greater coverage, beams will be designed to be narrower to achieve higher beam gain. Thus, for the same angular coverage area, more beams will be needed. For example, in future FWA (Fixed Wireless Access) products, a single wide beam will contain 40 narrow beams. Thus, for 16 wide beams, the required RS resources will reach 656, and these RS resources will be consumed periodically (by periodically performing beam scans to update the optimal transmission beam).

[0076] For such a large-scale RS transmission, both the base station and the UE will consume enormous amounts of energy in both uplink and downlink. The RSRP measurement performed at the receiver corresponding to each RS resource will also consume significant power. Furthermore, since each candidate beam requires at least one different Orthogonal Frequency Division Multiplexing (OFDM) symbol to carry it, using ergonomic beam scanning to find the optimal transmission beam will introduce substantial latency.

[0077] In summary, beam management based on ergonomic beam scanning is no longer suitable for future communication systems (e.g., 6G communication systems) due to issues such as significant RS resource overhead and substantial latency. Therefore, enhanced beam management is necessary.

[0078] Therefore, this disclosure proposes a beam management method based on the RSRP ratio, or based on the equivalent channel estimation ratio or the reference signal received path power (RSRPP) ratio, which can greatly reduce the overhead of RS resources.

[0079] Furthermore, regarding the reporting method for beam management, this disclosure proposes a dynamic quantization method to effectively enhance the reporting of measurement quantities in beam management. When using beam management methods based on the RSRP ratio or the equivalent channel estimation ratio, the one-to-one mapping relationship between the RSRP ratio or the equivalent channel estimation ratio and angle information is not linear (for example, the corresponding curves exhibit...). Figure 4 For steep and flat areas (as shown), using a dynamic quantification reporting method can more effectively avoid measurement performance loss and resource waste.

[0080] In this disclosure, the reported measurement quantity can be a measurement quantity related to beam management based on the RSRP ratio, which may include at least one of the following: RSRP, RSRP ratio. Furthermore, the reported measurement quantity can also be a measurement quantity related to beam management based on the equivalent channel estimation ratio or the RSRPP ratio, which may include at least one of the following: equivalent channel estimation ratio, RSRPP ratio. Additionally, the reported measurement quantity can also be a measurement quantity related to angle information. Furthermore, the reported measurement quantity can also be any other existing or future measurement quantity. This disclosure only provides an exemplary description of the dynamic quantization method for the measurement quantity and does not limit the specific measurement quantity. Optionally, in some applications, the equivalent channel estimation ratio can be replaced by the RSRPP ratio.

[0081] In some implementations, the process of beam management based on dynamic quantization may include at least one of the following:

[0082] ●The UE receives the CSI resource configuration sent by the base station.

[0083] The CSI resource configuration may include at least one of the following: a set of reference signal resource configurations related to beam management based on RSRP ratios, and a set of reference signal resource configurations related to beam management based on equivalent channel estimation ratios.

[0084] ■ The configuration of a set of reference signal resources related to beam management based on the RSRP ratio may include configuration information related to a fifth association relationship existing between the set of reference signal resources. The fifth association relationship may include (partial) overlap between a set of beams corresponding to the set of reference signal resources. Furthermore, based on the reference signal resource configuration, the UE can implicitly know that beam management based on the RSRP ratio is being used, and can further know that dynamic quantization is required. Specifically, when the UE receives the reference signal resource configuration related to beam management based on the RSRP ratio, it can implicitly know the configuration of measurement quantities related to the RSRP ratio, thereby calculating the measurement quantities related to the RSRP ratio, such as RSRP and the RSRP ratio, and can further know that dynamic quantization is required, thereby reporting the measurement quantities based on dynamic quantization.

[0085] ■ The configuration of a set of reference signal resources related to beam management based on the equivalent channel estimation ratio may include configuration information related to a sixth association between the set of reference signal resources. The sixth association may include that the beam gains of the beams corresponding to two reference signal resources in the set of reference signal resources have complementary peaks; that is, when the beam gain of one of the two reference signal resources is at its peak, the beam gain of the other reference signal is at its valley. Here, when the set of reference signal resources includes two reference signal resources, it may be that the beam gains of the beams corresponding to the two reference signal resources have complementary peaks. When the set of reference signal resources includes more than two reference signal resources (e.g., three reference signal resources including a first reference signal resource, a second reference signal resource, and a third reference signal resource), the beam corresponding to the second reference signal resource may have complementary peaks in the horizontal direction to the beam corresponding to the first reference signal resource, and the beam corresponding to the third reference signal resource may have complementary peaks in the vertical direction to the beam corresponding to the first reference signal resource. Furthermore, based on the aforementioned reference signal resource configuration, the UE can implicitly know that a beam management method based on the equivalent channel estimation ratio is being used, thereby calculating the measurement quantities related to the equivalent channel estimation ratio, such as the equivalent channel estimation ratio, RSRPP ratio, etc., and can further know that a dynamic quantization method needs to be adopted, thereby reporting the measurement quantities based on the dynamic quantization.

[0086] ●Configure the UE to receive CSI reports sent by the base station.

[0087] CSI report configuration may include at least one of the following: configuration related to dynamic quantization (which may be referred to as first configuration information herein). Configuration related to dynamic quantization may include at least one of the following: configuration of the mapping relationship between dynamic quantization indication (e.g., identification information related to dynamic quantization), measurement report (which may also be referred to as reporting information herein), configuration of the quantization method of dynamic quantization, and reported measurement content (e.g., configuration information related to the reported measurement).

[0088] ■ Dynamic Quantization Indication: This is used to explicitly instruct the UE to use dynamic quantization reporting. It can also be referred to as identification information (or field) regarding whether dynamic quantization is used. For example, in some implementations, the value of this identification information (or field) can indicate whether dynamic quantization is used. In other implementations, the presence of this identification information (or field) indicates that dynamic quantization is used; the absence of this identification information (or field) indicates that dynamic quantization is not used.

[0089] ■ Configuration of mapping relationships in measurement reports: This can include mapping relationships between measured quantities (e.g., RSRP, RSRP ratio, equivalent channel estimation ratio, RSRPP ratio, etc.) and angle information; mapping relationships between actual measured values ​​and quantized values, reported values, etc.; and correlation relationships between multiple measurement value ranges of the measured quantity and at least two quantization step sizes. Specifically, this correlation relationship can include one or more of the following:

[0090] The first association relationship may include at least one of the following:

[0091] The correlation between the reported value of the measurement and multiple measurement ranges, which can be determined based on multiple measurement intervals and multiple quantization steps corresponding to each of the multiple measurement intervals, and the multiple quantization steps can include at least two different quantization steps;

[0092] The relationship between the reported value of the measurement, multiple measurement ranges, and multiple quantization steps, wherein each of the multiple measurement ranges corresponds to each of the multiple quantization steps, and the multiple quantization steps may include at least two different quantization steps.

[0093] The second association may include the association between the measurement interval and the scaling factor, and the association between the quantized value of the measurement quantity corresponding to each scaling factor and multiple measurement value ranges, wherein the scaling factor may be associated with at least two quantization steps.

[0094] The third association may include the association between multiple measurement intervals of a measurement quantity and an integer (decimal) bit indicator for representing the integer (decimal) part of a quantized value, and the association between the reported value of the measurement quantity corresponding to each integer bit indicator and the measurement value range, wherein the integer bit indicator may be associated with at least two quantization steps.

[0095] The fourth association may include the association between the reported value of the measurement and multiple measurement ranges, and the association between multiple measurement ranges and the number of dynamic quantization bits.

[0096] The configuration of the measurement report mapping relationship can directly include the measurement report mapping relationship, or it can include parameters related to the measurement report mapping relationship that can be used to obtain (or determine) the measurement report mapping relationship. The configuration of the measurement report mapping relationship can be used by the UE to obtain the measurement report mapping relationship directly or indirectly (e.g., by calculating relevant parameters), and then report the measurement quantity according to this mapping relationship.

[0097] ■ Configuration of dynamic quantization method: This can be used to inform the UE of the specific quantization method or parameters to be used when employing dynamic quantization. For example, it can specify the selection of parameters used for quantization, such as total quantization bits, integer bits, fractional bits, scaling factor, and step size, so that the UE can use the correct quantization method (or quantization parameters) to report the measured quantity. Optionally, when there is more than one dynamic quantization method, the UE can select the corresponding quantization method for reporting based on this configuration. In some implementations, the dynamic quantization method or quantization parameters can also be carried in the configuration of the above mapping relationship, correspondence relationship, or various association relationships, without needing to be sent separately.

[0098] The reported measurements may include at least one of the following: RSRP, RSRP ratio; equivalent channel estimation ratio, RSRPP ratio; and measurements related to angle information (e.g., beam pointing deviation, transmission angle, angle deviation, beam index, angle index, etc.). The reported measurements are parameters related to angle information and are suitable for application scenarios where the UE needs to obtain angle information. After receiving the actual signal, the angle information is obtained based on the computational amount of the actual received signal and the mapping relationship, and the angle information is reported. This method is suitable for application scenarios where the base station configures the UE to report angle information.

[0099] Optionally, the CSI report configuration can be implicitly configured by the CSI resource configuration, that is, when the UE receives the CSI resource configuration, it can implicitly know the relevant information of the CSI report configuration.

[0100] ●The UE receives reference signals sent by the base station.

[0101] The UE measures the reference signal, calculates the measured quantity, and reports it according to the dynamic quantization method configuration in the CSI report configuration. For example, the UE sends a measurement report related to the reference signal and / or the measured quantity to the base station. In this disclosure, the measurement report may include information related to the reported measured quantity. For example, the measurement report may include one or more of the measured value, the quantized value, and the reported value of the measured quantity. In this disclosure, the measurement report and the measurement result are used interchangeably.

[0102] ●The UE receives information from the base station after beam adjustment.

[0103] After the UE reports the measurement, the base station can obtain angle information and / or beam information directly or indirectly based on the measurement, adjust the beam direction using the angle information and / or beam information, and send information to the UE using the adjusted beam.

[0104] Dynamically quantized beam management can be achieved through one or more steps in the above process.

[0105] Optionally, in the beam management method for dynamic quantization in the UE, the configurations related to dynamic quantization can be preset, that is, the configurations related to dynamic quantization have default settings. This method does not require signaling overhead and is easy to implement.

[0106] Optionally, in the beam management method for dynamic quantization of the UE, the configuration related to dynamic quantization can be at least one of the following:

[0107] ■Configuration of the mapping relationship for UE receiving measurement reports and / or configuration of the dynamic quantization method and / or configuration of the reported measurement content. Optionally, the configuration can be implemented through Radio Resource Control (RRC) signaling transmission. Optionally, the configuration can be configured at the beginning of communication establishment. Optionally, the configuration can be configured through a common channel.

[0108] ■ The UE receives an indication of dynamic quantization, which can be used to indicate whether dynamic quantization is enabled or disabled, and / or to indicate which specific quantization method is used. For example, the UE receives multiple dynamic quantization methods and then uses the dynamic quantization indication to inform the UE which specific dynamic quantization method is being used. For example, the UE receives multiple mapping relationships of measurement reports and then uses first information to inform the UE which mapping relationship is being used for dynamic quantization. Optionally, the indication can be implemented through downlink control information (DCI) or MAC layer control unit (MAC CE).

[0109] Optionally, in the beam management method for dynamic quantization of the UE, the configuration related to dynamic quantization can also be configured dynamically during the communication process.

[0110] It should be understood that the descriptions above are merely examples. In this document, individual messages, information, signaling, configurations, parameters, etc., can be sent individually or in any combination; no restrictions are imposed.

[0111] In some implementations, the UE may obtain the mapping relationship of the measurement report in at least one of the following ways:

[0112] ●The mapping relationship of measurement reports received by the UE from the base station through a certain channel. This certain channel can be a public channel, such as a broadcast channel, to save on UE-specific signaling overhead. In this document, the certain channel can also be any other channel.

[0113] ● The UE receives parameters configured by the base station through a certain channel, which can be used to obtain (or determine) the mapping relationship of measurement reports; that is, parameters related to the mapping relationship of measurement reports. The UE can obtain (e.g., by calculation) the mapping relationship of measurement reports based on these parameters, thus saving the common signaling overhead required by the base station directly sending the mapping relationship of measurement reports. This certain channel can be a common channel, such as a broadcast channel, to save UE-specific signaling overhead. In this document, this certain channel can also be any other channel.

[0114] ■ Parameters related to the mapping relationship of the measurement report may include parameters related to at least one of the following: measured quantity, reported value, step size, measurement range, codebook, total number of quantized bits, number of integer bits, number of fractional bits, scaling factor, measurement report mapping relationship index, and parameters related to angle information (or beam information).

[0115] - The UE can recover the complete mapping relationship of the measurement report based on parameters related to the mapping relationship of the measurement report (e.g., measured quantity, reported value, measurement range, etc.). In this case, the mapping relationship of the measurement report can be obtained through simple calculation, thereby saving public signaling overhead. This method is suitable for situations where the reported measurement quantity is a calculation based on the received signal (e.g., RSRP, RSRP ratio, RSRPP ratio, or equivalent channel estimation ratio, etc.).

[0116] - The UE can also determine the parameters required to recover the complete measurement report mapping relationship based on the measurement report mapping relationship index. Specifically, for each measurement report mapping relationship index, there is a corresponding set of parameters related to the mapping relationship of the measurement report, such as at least one of the following: measurement quantity, reported value, step size, measurement range, codebook, total number of quantized bits, number of integer bits, number of fractional bits, and scaling factor. The complete measurement report mapping relationship can be recovered based on the corresponding parameters.

[0117] Specifically, the measurement report mapping index can be a parameter related to the codebook, such as a codebook index. In one specific embodiment, the codebook used by the base station can be pre-set. The base station can inform the UE of the codebook used by configuring parameters related to the codebook (e.g., codebook index) to the UE. Based on the codebook, the UE can calculate and obtain the mapping relationship between the computational quantity based on the received signal and the angle information under ideal conditions. The mapping relationship can be based on different timing lengths and / or different measurement ranges, etc. The computational quantity based on the received signal can be RSRP, RSRP ratio, RSRPP ratio, or equivalent channel estimation ratio. The parameters related to the mapping relationship of the measurement report can also be pre-set. For example, for a certain measurement report mapping index, the parameters related to the mapping relationship of the measurement report are determined accordingly, thereby restoring the complete mapping relationship of the measurement report. Optionally, the codebook is related to the beamforming coefficients. When different manufacturers use different beamforming coefficients, the corresponding measurement report mapping relationships are different, and therefore different quantization methods are required. Different measurement report mapping indexes can be configured to select different quantization methods.

[0118] ● One or more mapping relationships for obtaining measurement reports are pre-defined (e.g., specified through a protocol) between the base station and the UE. For example, one method could be that the UE can pre-store one or more mapping relationships for measurement reports and retrieve them when needed. In this method, since the UE has pre-defined mapping relationships for measurement reports, the base station does not need to send additional signaling to the UE to generate the mapping relationships. Optionally, when more than one mapping relationship for measurement reports is pre-stored, the base station can send configuration information to the UE to select one or more of the mapping relationships.

[0119] ●Optionally, the mapping relationship index of the measurement report can be a table index. When the mapping relationship of a certain measurement report is implemented using a table, the table index can be used to select different quantization parameters.

[0120] In some implementations, the quantization method and / or the mapping relationship of the measurement report for dynamic quantization may include one or more of the following:

[0121] 1) The reported measurements (e.g., total reported values) use a fixed total number of quantization bits. In the case of using a fixed total number of quantization bits, it may further include at least one of the following: using different step sizes, using different scaling factors, using different numbers of integer bits (and / or fractional bits).

[0122] 1.1) The reported measurements use a fixed total number of quantization bits, with different step sizes for different sub-measurement ranges. This quantization method fully utilizes the quantization bits, allowing for different step sizes to be used for different quantization accuracy requirements within different ranges. This saves signaling overhead while ensuring the accuracy of the mapped angle, ultimately guaranteeing the accuracy of narrow beam selection during beam management. The reported values ​​are related to the sub-measurement ranges and / or step sizes.

[0123] Optionally, the association relationship can be a relationship between reported values ​​and sub-measurement ranges. Specifically, this can be implemented by defining multiple measurement intervals, each corresponding to a step size, where each measurement interval has an upper and lower limit for the measured value. For each measurement interval, multiple sub-measurement ranges can be determined based on the corresponding step size, and / or the correspondence between the sub-measurement ranges and the reported values. For example, the reported measured value can be defined by the value of a Q-bit, and the interval... The corresponding step size is S1, and the interval is... The corresponding step size is S2, and the total measurement range is... Furthermore, the interval The measurement range can be divided using a step size S1, such as [X0,X1), [X1,X2), ..., There is a corresponding reported value (or quantization value) for each sub-measurement range.

[0124] Optionally, the correlation can be a relationship between the reported value and the sub-measurement range, and the step size.

[0125] As shown in Table 1, in this embodiment, the total measurement range can be... Within this range, it can be based on one or more step sizes (e.g., The measurement range is further divided into multiple corresponding sub-measurement ranges (e.g., [X0, X1), [X1, X2), etc.). When the measured value of the quantity is less than X0, it can be quantized as the quantized value "Measurement_0" (e.g., it can be 0 or any other value). When the measured value of the quantity is greater than or equal to X0 and less than X1, it can be quantized as the quantized value "Measurement_1" (e.g., it can be 1 or any other value), and so on. The reported measurement quantity (also called the reported value) can be represented by a Q-bit value. In this embodiment, the reported value of the measurement quantity can be directly the quantized value of the measurement quantity, such as Measurement_0, Measurement_1, etc.

[0126] The step sizes corresponding to different sub-measurement ranges may not be equal, for example, One or more of these can be the same or different. A Q-bit can represent 2^36. Q There are 2 possible reported values, specifically representing the range from 00…0 to 11…1 of Q bits. The number of quantization bits Q needs to satisfy the condition that the number of possible reported values ​​is 2. Q The number n of quantization intervals greater than the reported values ​​shown in Table 1 e+1 +1.

[0127] The mapping relationships of the measured quantities are shown in Table 1. The range in the signaling may be larger than the guaranteed accuracy range. For example, Q bits represent 2... Q The range of possible reported values ​​(e.g., the maximum value of Q bits 11…1) needs to be greater than the reported value of the measurement_n. e+1 This is to ensure that all measurements can be reported. For example, from 0 to n e+1 This n e+1 +1 number can be divided by 2 Q It means, i.e., 2 Q Greater than or equal to n e+1 +1, which is the integer value 2 Q Greater than n e+1 .

[0128] Table 1 Measurement Report Mapping

[0129]

[0130] As shown in Table 1, the total measurement range of the measured quantities is X0 to... Furthermore, the step sizes within each sub-measurement range are respectively The step sizes can be completely different, partially the same, and / or partially different. In certain cases, the step sizes can be the same, which can be considered as a fallback to a fixed step size. As shown above, Table 1 illustrates the relationship between the reported values ​​of the measured quantity and multiple measurement ranges and multiple quantization step sizes. In some cases, Table 1 may not have a third column; in this case, Table 1 shows the relationship between the reported values ​​of the measured quantity and multiple measurement ranges (with at least two (different) quantization step sizes).

[0131] Table 2 shows an example case where the measurement is RSRP. As shown in Table 2, the range in the signaling may be larger than the guaranteed accuracy range. The RSRP of the reported values ​​is in dBm.

[0132] Table 2 RSRP Measurement Report Mapping

[0133]

[0134] In Tables 1 and 2, since the step size can be determined based on the second column, i.e. the value of the measured quantity (the measured value of the measured quantity), the third column step size can be omitted in some application scenarios, and the step size can be determined separately based on the second column (i.e. the value of the measured quantity) as needed.

[0135] Alternatively, in some application scenarios, the values ​​of the second column of measurements can be omitted. The second column is determined based on the reported values ​​in the first column and the step size in the third column, which determines the range of measurements corresponding to each reported value.

[0136] When the UE is configured to use a fixed total number of quantization bits and different step sizes for different sub-measurement ranges, the UE-side behavior includes at least one of the following:

[0137] ● The UE determines the measurement report mapping relationship, such as a table as shown in Table 1 or Table 2, or the corresponding description;

[0138] ●The UE calculates measurements, such as at least one of the following: RSRP, RSRP ratio; equivalent channel estimation ratio, RSRPP ratio; measurements related to angle information;

[0139] ●The UE finds the corresponding reported value based on the calculated measurement value and the measurement report mapping relationship;

[0140] ● The UE reports the measured values;

[0141] 1.2) The reported measurement uses a fixed total number of quantization bits, and a scaling factor is used to adjust the sub-measurement range to achieve dynamic quantization. This method divides the entire measurement range of the measurement into several sub-measurement ranges, each corresponding to a different scaling factor, to meet different accuracy or discrimination requirements. For example, for intervals with higher accuracy (or discrimination) requirements, the corresponding scaling factor can be smaller to achieve a smaller quantization step size within the same number of quantization bits. If a measurement corresponds to multiple possible representations, the UE can report the representation with the highest accuracy (or smallest step size) to achieve more precise quantization. The reported value (or quantization value) and the scaling factor, and / or multiple measurement intervals, and / or sub-measurement ranges are correlated.

[0142] The accuracy requirement, discrimination requirement, or step size requirement here all refer to the fineness of the difference between the reported value and the actual measured value within different ranges. Specifically, the higher the accuracy requirement, the higher the discrimination requirement, or the smaller the step size requirement, the finer the difference between the reported value and the actual measured value. For example, an accuracy requirement of 0.01 between the reported value and the actual measured value is higher than an accuracy requirement of 1 between the reported value and the actual measured value.

[0143] The specific implementation of dynamic quantization using a fixed total number of quantization bits and a scaling factor can be as follows. In this implementation, the reported measurement (e.g., the total reported value) can include two parts, one part of which can be used to represent the scaling factor (e.g., the scaling factor threshold), and the other part can be used to represent the quantized value of the measurement (e.g., the quantized values ​​shown in Table 4: measurement_0, measurement_1, etc.). The scaling factor corresponding to the reported value of the measurement can be Q. s Bit representation, the range that can be represented is Q s Bits 00…0 to Q s Bits 11…1, total Scaling factors. The measured quantity can be represented using Q bits, and the representable range is from Q bits 00…0 to Q bits 11…1, a total of 2... Q Q: Possible reported values. s The scaling factor represented by bits (e.g., scaling factor threshold) and the measurement represented by Q bits (e.g., the quantized value of the measurement) together constitute the reported measurement (e.g., the total reported value). Where Q... s The scaling factor of the bits can be placed before or after the Q-bit measurement, or they can be placed independently in different positions for transmission; this disclosure does not impose any limitations. The use of a fixed total number of quantization bits can be the total number of quantization bits Q reported. s The +Q bit is a fixed value.

[0144] Specifically, Q s The bit scaling factor can correspond to a mapping relationship, as shown in Table 3. The range in signaling may be larger than the guaranteed precision range.

[0145] Table 3 Scaling Factor Mapping

[0146]

[0147] Q s The range of values ​​for the scaling factor required to represent the bits does not exceed [a certain value]. There are several possibilities. Each field value can be mapped to a scaling factor. The field values ​​of the scaling factor are 0, 1, ..., n. s The corresponding scaling factor values It can satisfy a monotonically decreasing relationship, such as It can also satisfy a monotonically increasing relationship, such as Satisfying a monotonically decreasing (or increasing) relationship makes calculations based on tables more intuitive. Furthermore, it can be specifically defined according to requirements. The size relationship is not specifically limited.

[0148] Optionally, the scaling factor value can be determined by the following factors: the measurement range and the accuracy requirements within that range. Specifically, since a fixed total number of quantization bits is used to quantize the range, the total number of possible reported values ​​is fixed. A scaling factor value corresponding to the scaling factor's threshold needs to ensure that, under the scaling effect of the scaling factor, the corresponding measurement range can cover the minimum and / or maximum values ​​of the measurement to be represented. Furthermore, for measurement ranges with high scaling accuracy requirements, the scaling factor can be set smaller to correspond to smaller step sizes.

[0149] The measurement of Q bits can correspond to a mapping relationship, as shown in Table 4. The range in the signaling may be greater than the guaranteed accuracy range.

[0150] Table 4 Mapping of Reported (or Quantified) Values ​​of Measurements

[0151]

[0152]

[0153] Here, Q bits can represent 2. Q There are 2 possible quantization values ​​that need to satisfy 2 Q The number of quantization values ​​that need to be distinguished is greater than 2. Q >n e+1 .

[0154] The formula for calculating the actual measured value satisfies:

[0155] Actual measured value = scaling factor * reported value of the measured quantity.

[0156] When a UE reports measurements, if the actual measurement value can be represented by more than one scaling factor threshold and the reported measurement value, it can use a more precise (or smaller step size) reporting method. Optionally, using a scaling factor-based reporting method, the UE does not need to know the start and end points of the sub-measurement range when calculating the mapping relationship for obtaining the measurement report. The scaling factor, combined with the number of bits of the reported measurement value, implicitly represents the start and end points of the sub-measurement range, which is intuitive and easy for the UE to implement.

[0157] If there are more than one reporting method for a UE measurement, the method with the highest accuracy can be selected for reporting to improve the reporting accuracy.

[0158] One specific implementation of this method is as follows. For example, 1 bit is used to represent the selection of the scaling factor (e.g., the scaling factor domain value), and the corresponding scaling factor mapping is shown in Table 5.

[0159] Table 5 Scaling Factor Mapping

[0160] domain scaling factor value 0 1 1 0.25

[0161] Furthermore, the quantization value of the measured quantity can be represented using 5 bits. The range of 5 bits is 0 to 31, and the corresponding measurement quantity mapping is shown in Table 6. Taking the reported measurement quantity as the RSRP ratio as an example, its corresponding measurement range is a real number not less than 0.

[0162] Table 6 reports RSRP ratio mapping (e.g., when the scaling factor field value is 0).

[0163] Reported value (or quantified value) The value of RSRP ratio RSRP ratio_0 0 < RSRP ratio < 2 RSRP ratio_1 2 < RSRP ratio < 4 RSRP ratio_2 4≤RSRP ratio<6 … … RSRP ratio_29 58≤RSRP ratio<60 RSRP ratio -30 60≤RSRP ratio

[0164] When the scaling factor field value is 0, according to Table 5, the scaling factor value is 1. Assuming that the quantization step size corresponding to the scaling factor value of 1 is 2, then the reported value range of RSRP ratio is 0 to 30, and the actual measured RSRP ratio range is 0 to 60. The step size of the actual measured quantity corresponding to each reported value is 2, as shown in Table 6.

[0165] When the scaling factor is 1, according to Table 5, the scaling factor is 0.25. At this time, the reported RSRP ratio ranges from 0 to 30, and the actual measured RSRP ratio ranges from 0 to 15. The step size of the actual measured quantity corresponding to each reported value is 0.5, as shown in Table 7.

[0166] Table 7 reports RSRP ratio mapping (e.g., when the scaling factor field value is 1).

[0167] Reported value (or quantified value) The value of RSRP ratio RSRP ratio_0 0 ≤ RSRP ratio < 0.5 RSRP ratio_1 0.5 ≤ RSRP ratio < 1 RSRP ratio_2 1 ≤ RSRP ratio < 1.5 … … RSRP ratio_29 14.5 ≤ RSRP ratio < 15 RSRP ratio -30 15≤RSRP ratio

[0168] For a UE measurement value, such as an RSRP ratio of 5, there are two possible reporting methods: setting the scaling factor threshold to 0 and the quantization value to RSRP ratio_2, with a corresponding quantization step size of 2; and setting the scaling factor threshold to 1 and the quantization value to RSRP ratio_10, with a corresponding quantization step size of 0.5. In this case, the UE can report using a smaller step size, i.e., setting the scaling factor threshold to 1, reporting the value to RSRP ratio_10, and using a step size of 0.5. This scheme achieves dynamic quantization by setting different scaling factors for different segments of measurement values ​​to realize different accuracy (or step size) requirements. The correlation between the scaling factor threshold, scaling factor, and sub-measurement ranges of the RSRP ratio in the specific implementation is shown in Table 8A. When the scaling factor threshold is 1, the corresponding scaling factor value is 0.25, the actual range of the measured RSRP ratio is 0–15, and the step size for each reported value is 0.5. When the scaling factor field value is 0, the scaling factor value is 1, and the actual measurement RSRP range is 15 to 60 (at this time, the range of 0 to 15 is not reported with the scaling factor field value of 0).

[0169] Table 8A Scaling factor thresholds, scaling factor, and sub-measurement range mapping of RSRP ratio.

[0170] Scaling factor domain scaling factor value Sub-measurement range 1 0.25 0～15 0 1 15～60

[0171] When the UE is configured to use a fixed total number of quantization bits and uses a scaling factor to adjust the sub-measurement range to achieve dynamic quantization, the UE-side behavior includes at least one of the following:

[0172] ● The UE determines the measurement report mapping relationship, such as the scaling factor mapping table shown in Table 3 and / or the reported value (or quantization value) mapping table of the measurement quantity shown in Table 4, or the corresponding description;

[0173] ●The UE calculates the value of the measurement quantity, which includes at least one of the following: RSRP, RSRP ratio; equivalent channel estimation ratio, RSRPP ratio; and measurement quantity related to angle information.

[0174] ●The UE finds the corresponding reported value based on the calculated value of the measurement quantity and the measurement report mapping relationship. For example, based on the value of the measurement quantity, it finds the corresponding sub-measurement range and / or integer bit value and / or the reported value is the scaling factor domain value and the reported value of the measurement quantity.

[0175] ●The UE reports the total value;

[0176] One specific implementation can be as follows: the measurement report mapping relationship is shown in Tables 5, 6, and 7. If the UE calculates a measurement value of 14.5, the corresponding sub-measurement range is 0–15, the corresponding scaling factor value is 0.25, the corresponding scaling factor domain value is 1, and the reported RSRP ratio is RSRP ratio_29. Therefore, the total reported value is 111101, where the first 1 is the scaling factor domain value, and 11101 is the binary representation of 29.

[0177] 1.3) The reported measurements use a fixed total number of quantization bits, with different numbers of bits used to represent integers (or fractions) to correspond to different sub-measurement ranges and precisions. When using a fixed total number of quantization bits to represent values, the more integer bits used, the fewer bits are available to represent the fractional part, resulting in lower precision for the numerical change, but a larger range of values ​​(or sub-measurement ranges); conversely, the fewer integer bits used, the more bits are available to represent the fractional part, resulting in higher precision for the numerical change, but a smaller range of values. This property corresponds to the non-uniform mapping relationship between the RSRP ratio or equivalent channel estimation ratio and angle information, where a smaller numerical range requires higher precision. The reported values ​​are related to the number of integer bits and / or fractional bits and / or sub-measurement ranges and / or precision.

[0178] One bit in the integer bits can be used to represent the sign. Specifically, when the signs of the reported measurements are always the same, it is not necessary to report the sign; when the signs of the reported measurements may be different, it is necessary to report the sign.

[0179] The specific implementation of dynamic quantization using a fixed total number of quantization bits and different numbers of integer (or fractional) bits can be as follows. The reported measurement (e.g., the total reported value) can include two parts: the first part can represent the number of quantization bits used for the integer part (referred to as the integer bit number in this document) or the number of quantization bits used for the fractional part (referred to as the fractional bit number in this document); the second part can represent the quantized value of the measurement. Accordingly, the first part can also be referred to as the integer bit field or the fractional bit field. The integer bit field (or fractional bit field) can be represented using Q... b It can represent a range of Q. b Bits 00…0 to Q b The bits 11…1 correspond to: There are 2^4 possible values. The quantization value of the measured quantity can be represented using Q bits, and the range that can be represented is from Q bits 00…0 to Q bits 11…1, a total of 2^4. Q Q has several possible values. bThe reported measurement consists of the integer bit field (or fractional bit field) represented by 0 bits and the quantized value of the measurement represented by Q bits. Where Q... b The integer bit field (or fractional bit field) of the bit can be located before or after the quantized value of the Q-bit measurement, or they can be placed independently in different positions for transmission; this disclosure does not impose any restrictions. The use of a fixed total number of quantized bits can be the total number of quantized bits Q reported. b The +Q bit is a fixed value.

[0180] Specifically, Q b The number of integer bits (or fractional bits) represented by a bit corresponds to a mapping relationship, as shown in Table 8B. The range in signaling may be greater than the guaranteed precision range.

[0181] Table 8B Mapping of Integer Bits (or Decimal Bits)

[0182]

[0183] Q b The range of possible integer bits (or fractional bits) to be represented does not exceed [a certain value]. There are several possibilities. Each field value can be mapped to an integer number of bits (or a fractional number of bits). The field values ​​are 0, 1, ..., n. b The corresponding integer bits (or fractional bits) It can satisfy a monotonically decreasing relationship, such as It can also satisfy a monotonically increasing relationship, such as Satisfying a monotonically decreasing (or increasing) relationship makes calculations based on tables more intuitive. Furthermore, it can be specifically defined according to requirements. The order of magnitude is not specifically defined. The integer bits (or fractional bits) are... It must not exceed Q bits.

[0184] Specifically, the correspondence between the Q bits used to represent the measured quantity and the number of bits used to represent integers and fractional numbers satisfies:

[0185] Q = Number of bits representing the integer + Number of bits representing the decimal

[0186] Optionally, the selection of the integer bit count (or fractional bit count) can be determined by the following factors: the measurement range and the accuracy requirements within that range. Specifically, since the total number of possible reported values ​​is fixed when quantizing the range using a fixed total number of quantization bits, the number of integer bits (or fractional bits) corresponding to the integer bit count (or fractional bit count) threshold needs to ensure that, using that integer bit count (or fractional bit count), the corresponding measurement range can cover the minimum and / or maximum values ​​of the measurement to be represented. Furthermore, for measurement ranges with high scaling accuracy requirements, fewer integer bits or more fractional bits can be set to correspond to smaller step sizes.

[0187] The measurement of Q bits can be mapped to a relationship, as shown in Table 4. This will not be elaborated further here.

[0188] The formula for calculating the actual measured value satisfies:

[0189] Actual measurement value = measurement value represented by integer bits + measurement value represented by fractional bits

[0190] The fractional bits can be calculated from the quantization bits (e.g., Q) and the integer bits of the measured quantity. Optionally, the fractional bits are obtained by subtracting the integer bits from the quantization bits of the measured quantity. Similarly, the integer bits can be calculated from the quantization bits and the fractional bits of the measured quantity. Optionally, the integer bits are obtained by subtracting the fractional bits from the quantization bits of the measured quantity. Further, the corresponding measurement range and step size can be calculated based on the integer bit values ​​and / or fractional bit values.

[0191] When there are more than one reported value for a given measurement, a more precise representation with more decimal bits can be used.

[0192] A specific implementation of the method is as follows. For example, 1 bit is used to represent the selection of the number of integer bits (i.e., the integer bit field), and 5 bits are used to represent the quantization value of the measurement (e.g., quantization values ​​as shown in Table 4: measurement_0, measurement_1, etc.). Taking the reported measurement as the RSRP ratio as an example, the corresponding measurement range is a real number greater than 0. Specifically, corresponding to a certain measurement report mapping relationship, when the integer bit field value is 0, the corresponding number of integer bits is 5; when the integer bit field value is 1, the corresponding number of integer bits is 2. When the quantization value of the measurement is represented by 5 bits, and the integer bit field value is 0, the corresponding number of integer bits is 5, which can be calculated to be 0 decimal bits, corresponding to a measurement range of 0 to 31, with a step size of 1; when the integer bit field value is 1, the corresponding number of integer bits is 2, which can be calculated to be 3 decimal bits, corresponding to a measurement range of 0 to 3.875, with a step size of 0.125. The corresponding table is shown in Table 9. It is worth noting that in Table 9, the measurement range is 4 to 31 corresponding to an integer bit field value of 0, because the measurement range of 0 to 3 can be represented by an integer bit field value of 1 with higher precision.

[0193] Table 9 Integer Bit Count Mapping

[0194]

[0195] Using the method described in Table 9, integer bit mapping can be replaced by fractional bit mapping, which will not be elaborated here.

[0196] Using the same (or fixed) number of quantization bits for quantization, the UE and base station do not need additional signaling to notify the length or number of quantization bits. However, by using different methods, such as different bit lengths, different scaling factors, or different numbers of integer bits (or fractional bits), the measurement accuracy can be flexibly changed to achieve different quantization distinctions in different intervals.

[0197] When the UE is configured to use a fixed total number of quantization bits and uses different numbers of bits to represent integers (or fractions) to correspond to different sub-measurement ranges and precisions, the UE-side behavior includes at least one of the following:

[0198] ● The UE determines the measurement report mapping relationship, such as the integer bit number (or fractional bit number) mapping table shown in Table 8B and / or the reported value (or quantization value) mapping table shown in Table 4, or the corresponding description;

[0199] ●The UE calculates the value of a measurement quantity, which includes at least one of the following: RSRP, RSRP ratio; equivalent channel estimation ratio, RSRPP ratio; and a measurement quantity related to angle information.

[0200] ●The UE finds the corresponding reported value based on the calculated value of the measured quantity and the mapping relationship of the measurement report. For example, based on the value of the measured quantity, it finds the corresponding sub-measurement range and / or step size and / or integer bit number and / or fractional bit number and / or integer bit field value and / or fractional bit field value. The reported value is the integer bit field value (or fractional bit field value) and the reported value of the measured quantity.

[0201] ●The UE reports the total value.

[0202] One specific implementation can be as follows: the measurement report mapping relationship is shown in Table 9. If the UE calculates a measurement value of 3.5, the corresponding sub-measurement range is 0–3.875, the corresponding step size is 0.125, the number of integer bits is 2, the number of fractional bits is 3, and the corresponding integer bit field value is 1. The measurement value 3.5 represented by 2 integer bits and 3 fractional bits is 11100, so the total reported value is 111100.

[0203] 2) The reported measurements use a dynamic (or "flexible") number of quantization bits to correspond to different measurement ranges and accuracies. More quantization bits are used for areas with high quantization accuracy requirements, and fewer quantization bits are used for areas with low quantization accuracy requirements, in order to make full use of the quantization bits to improve overall performance.

[0204] The dynamic quantization bit count method divides the reported measurement (e.g., the total reported value) into two parts. The first part has a fixed number of quantization bits, meaning a fixed number of quantization bits is used to represent the measurement. The second part can be determined based on the range of the measured values ​​in the first part. If the reported measurement in the first part indicates that higher precision is required, more quantization bits can be allocated to the second part; if the reported measurement in the first part indicates that lower precision is acceptable, fewer quantization bits can be allocated to the second part, or even no quantization bits can be allocated at all.

[0205] A specific implementation method is shown in Table 10, where the mapping relationship of using fixed quantization bits to represent measured values ​​is shown in Table 4. That is, fixed quantization bits, such as Q bits, are used to quantize the reported values. For a given measured value, it is first quantized using fixed quantization bits, such as those in Table 4. Then, the number of dynamic quantization bits used for further refinement can be determined based on the range of the measured value, such as by obtaining the corresponding number of dynamic quantization bits from Table 4.

[0206] Table 10 Dynamic Quantization Bit Count Mapping

[0207] domain The value of the measured quantity Number of dynamic quantization bits 0 <![CDATA[Measured quantity <Y0]]> <![CDATA[N0]]> 1 <![CDATA[Y0 ≤ Measured quantity < Y1]]> <![CDATA[N1]]> … … …

[0208] As shown in Table 10, when the threshold value is 0, the corresponding measured quantity <Y0 can be further quantized with N0 bits after quantizing the measured value using a fixed number of quantization bits, such as Q bits. Therefore, when the measured value is in different intervals, the total number of quantization bits used is different because the number of dynamic quantization bits corresponding to different intervals (or sub-measurement ranges) can be different (for example, N0 and N1 can be different).

[0209] Optionally, the specific implementation of the number of dynamic quantization bits is also as shown in Table 11A, where Table 11A combines Table 10 and Table 4, and the same table represents both the mapping of the number of dynamic quantization bits and the reported value (or quantized value) mapping of the measured quantity.

[0210] As shown in Table 11A, when the value of the measured quantity <X0, the reported value of the corresponding measured quantity is Measured Quantity_0. At this time, the corresponding threshold value of the number of dynamic quantization bits is F0, the number of dynamic quantization bits is N0, and the total reported value includes the reported value of the measured quantity and / or the threshold value of the dynamic quantization bits and / or the reported value corresponding to the number of dynamic quantization bits. Optionally, the threshold values of the number of dynamic quantization bits F0, R1,..., R e+1 can be partially the same or different. The corresponding numbers of dynamic quantization bits N0, N1,..., N e+1 can be partially the same or different. Using one table can represent two features simultaneously, which is simpler and more intuitive.

[0211] Table 11A Mapping of the Number of Dynamic Quantization Bits

[0212]

[0213] The specific implementation of the reported value corresponding to the number of dynamic quantization bits can be at least one of the following: Based on the mapping of the number of dynamic quantization bits, directly further quantize using the number of dynamic quantization bits.

[0214] The mapping based on the number of dynamic quantization bits can be that there is a mapping relationship as shown in Table 4 for each number of dynamic quantization bits, that is, corresponding to each reported value of the measured quantity, there is a measurement range.

[0215] The further quantization using the dynamic quantization bit count can be described as using the dynamic quantization bit count to further quantize the value of the measured quantity. This further quantization can involve quantizing the integer and / or fractional parts of the measured quantity value, where the dynamic quantization bit count includes both integer and fractional bits. Specifically, the number of integer and / or fractional bits in the dynamic quantization bit count can be preset, or, as described above, a fixed number of quantization bits can be used, but different numbers of bits are used to represent integers (or fractions) to correspond to different sub-measurement ranges and precision quantization methods. This is determined by the corresponding configuration of the base station, and will not be elaborated further here.

[0216] The two parts of the dynamic quantization bit number method can be reported separately. After the receiving end solves the first part of the measurement, it determines the quantization bit number of the second part. Finally, the quantization bit numbers of the two parts are combined to determine the final measurement value.

[0217] When the UE is configured to use dynamic quantization bit number mapping, the UE-side behavior includes at least one of the following:

[0218] ● The UE determines the measurement report mapping relationship, such as the dynamic quantization bit number mapping table shown in Table 10 and the reported value (or quantization value) mapping table of the measurement quantity shown in Table 4, or the corresponding description;

[0219] ●The UE calculates the value of the measurement quantity, which includes at least one of the following: RSRP, RSRP ratio; equivalent channel estimation ratio, RSRPP ratio; and measurement quantity related to angle information.

[0220] ●The UE calculates the corresponding reported value based on the calculated measurement value and the measurement report mapping relationship. For example, based on the measurement value, it finds the representation method that uses a fixed number of quantization bits, and then finds the dynamic quantization bit number based on the dynamic quantization bit number mapping relationship for further quantization;

[0221] ●The UE reports the total value.

[0222] The method for determining the final measurement quantity using a fixed total number of quantization bits and different step sizes, a fixed total number of quantization bits and different scaling factors, a fixed total number of quantization bits and different integer bits (and / or fractional bits), or a dynamic quantization method can be determined either by the base station and UE using a default method (e.g., protocol-defined or pre-configured) to save signaling overhead, or by configuring the quantization method through the base station, with the UE reporting according to the configured quantization method upon receiving the configuration. The base station configuring the quantization method for the measurement quantity may include configuring at least one of the following parameters: total number of quantization bits, integer bits, fractional bits, scaling factor, step size, and the number of quantization bits for the measurement quantity (i.e., the number of bits used to represent the quantized value of the measurement quantity). This method allows the base station to determine the optimal quantization method based on the value of the measurement quantity and the specific application scenario. For example, after the UE reports using the default method, the base station can configure a new quantization method based on the measurement results to obtain a more suitable quantization result.

[0223] A specific implementation of the quantization method for the base station's configured measurement quantities can be that the base station configures a quantization method index for reporting measurement quantities. After receiving the configuration, the UE reports the measurement quantities according to the configured quantization method index.

[0224] The specific implementation of the base station configuration for reporting the quantization method index of the measurement quantity can be as follows: the base station configures a quantization method index of the measurement quantity, and for each quantization method index of the measurement quantity configured by the base station, there is a corresponding mapping table. That is, for each quantization method index of the measurement quantity, there is a mapping table between the reported value and the value of the measurement quantity. Specifically, this mapping table can specify at least one of the following: total quantization bit count, integer bit count, fractional bit count, scaling factor, step size, quantization bit count of the measurement quantity, etc. For example, the specified content of the mapping table can be the quantization bit count of the measurement quantity, that is, for each configured quantization bit count Q of the measurement quantity, there is a corresponding table as shown in Table 4. When the UE receives the quantization method index, it finds the corresponding mapping table, and then calculates the corresponding reported value based on the value of the measurement quantity and reports it. The reported value and the range of the measurement quantity have a one-to-one mapping relationship. The final reporting result includes at least one of the following: the reported value of the measurement quantity, the quantization value of the measurement quantity, the integer bit count field value, the fractional bit count field value, the scaling factor field value, etc. Different mapping tables are used for different quantization methods. Only parameters related to the quantization method index need to be configured. The UE reports by looking up the table, which is simple and intuitive.

[0225] A further implementation of the base station configuration for reporting the quantization method index of the measurement quantity can be as follows: the base station configures a quantization method index of the measurement quantity, wherein each quantization method index corresponds to a specific value of at least one of the following parameters: total quantization bits, integer bits, fractional bits, scaling factor, step size, and the number of quantization bits of the measurement quantity. The UE directly quantizes and reports the measurement quantity based on the specific value of the parameter corresponding to the configured quantization method. For example, if the quantization method index configured by the base station includes both the number of quantization bits and the number of integer bits of the measurement quantity, then after receiving the configuration, the UE can obtain the integer bits and the fractional bits, where the fractional bits are obtained by subtracting the integer bits from the number of quantization bits of the measurement quantity (for signed measurements, the number of bits occupied by the sign needs to be considered), and then the UE quantizes and reports the measurement quantity based on the specific values ​​of the integer bits and the fractional bits.

[0226] In some implementations, the quantization method of the measurement quantity configured by the base station includes parameters (e.g., total quantization bits, integer bits, fractional bits, scaling factor, step size, quantization bits of the measurement quantity, etc.) that have explicit or implicit relationships. That is, obtaining at least one of the above parameters can deduce the other parameters. For example, suppose that when the configured quantization bits are 7, the corresponding integer bits are 7 and the fractional bits are 0; when the configured quantization bits are 9, the corresponding integer bits are 4 and the fractional bits are 5. If the base station configures the quantization method of the measurement quantity as configuring the quantization bits of the measurement quantity, if the configured quantization bits of the measurement quantity are 7, then the corresponding integer bits can be determined as 7 and the fractional bits can be determined as 0; if the configured quantization bits of the measurement quantity are 9, then the corresponding integer bits can be determined as 4 and the fractional bits can be determined as 5. That is, the quantization bits of the measurement quantity not only explicitly indicate how many bits are used to represent the measurement quantity, but also implicitly indicate how many bits are used to represent integers and fractions respectively in the quantization bits of the measurement quantity. Optionally, the implicit relationship can be such that when the base station allocates fewer quantization bits for a measurement, the corresponding number of integer bits is greater, and when the base station allocates more quantization bits for a measurement, the corresponding number of fractional bits is greater. Using this implicit approach can save signaling overhead and accurately specify the quantization parameters of the measurement.

[0227] The specific implementation method for the UE to report the measurement quantity according to the quantization method configured by the base station may include at least one of the following: the UE receives the quantization method of the measurement quantity configured by the base station; the UE explicitly or implicitly obtains the parameters required for reporting the measurement quantity according to the quantization method of the measurement quantity configured by the base station; the UE quantizes the measurement value and reports it. The method of configuring the quantization method of the measurement quantity by the base station can represent the measurement quantity more flexibly and accurately. Especially for cases with a large number of quantization bits or a large number of possibilities for quantization method selection, the method can save the table storage space caused by using the lookup table method and directly quantize the measurement quantity.

[0228] In this disclosure, when multiple reporting values ​​need to be reported, any one of the multiple reporting values ​​can be determined and reported based on any of the above-mentioned quantization methods and / or mapping relationships and / or association relationships. Furthermore, when multiple reporting values ​​need to be reported, any one or more of the multiple reporting values ​​can be determined and reported using the same quantization method and / or mapping relationship and / or association relationship, or they can be determined and reported using different quantization methods and / or mapping relationships and / or association relationships.

[0229] When reporting more than one measurement value simultaneously, each measurement value can be reported separately, or a differential reporting method (or differential reporting) can be used. This method is suitable for simultaneously reporting the RSRP corresponding to multiple reference signals contained in a reference signal set, or when the reported measurement is a complex number, and it is necessary to report the real and imaginary parts of the complex number separately (e.g., when the reported measurement is the equivalent channel estimation ratio). The differential reporting may include at least one of the following:

[0230] ■ Report specific values ​​from multiple measurements;

[0231] The specific value can be either the maximum or the minimum value.

[0232] ■ Report the difference between other measured quantities and specific values.

[0233] Using difference reporting is suitable when the difference between multiple measurements is small. Using difference reporting can reduce the signaling overhead of reporting each measurement value completely.

[0234] When the UE reports a specific value in the measurement, as well as the difference between other measurement values ​​and the specific value, the receiver can calculate and obtain the complete value of all reported values ​​based on the received specific value and the difference.

[0235] When the reported measurement is RSRP, the BS calculates the RSRP ratio after receiving the RSRP and uses the one-to-one mapping relationship between the RSRP ratio and angle information (e.g., beam pointing deviation) to obtain the angle information. The UE can report RSRP in at least one of the following ways: using different reporting methods (or quantization methods) for RSRP of different RS; using flag bits according to the magnitude of the measured RSRP value to reduce the reporting of RSRP; or directly reporting each measured RSRP.

[0236] The different reporting methods (or quantization methods) for RSRP of different RSs can refer to using different reporting methods (or quantization methods) for RSRP of different RSs that meet certain conditions. These different RSs that meet certain conditions can be the RSs corresponding to the RSRPs used in the numerator and denominator calculations, respectively, when calculating the RSRP ratio. Optionally, meeting certain conditions can be resource-related beam adjacency associated with the reference signal. Using different reporting methods (or quantization methods) for RSRP of different RSs is applicable to using different reporting methods (or quantization methods) for RSRP used in numerator calculations and RSRP used in denominator calculations, thereby improving the accuracy of the ratio calculation. The different reporting methods can refer to different combinations of different values ​​of various parameters of the quantization method (e.g., total quantization bit length (or quantity), integer bit count, fractional bit count, scaling factor, step size, number of quantization bits of the measured quantity, etc.) for the numerator or denominator in the RSRP ratio calculation.

[0237] One specific implementation method for calculating the RSPR ratio is as follows: Figure 4 In the one-to-one mapping relationship between the RSRP ratio and beam pointing deviation shown, beam 1 corresponds to reference signal 1, and the RSRP of reference signal 1 (RS1) is RSRP1; beam 2 corresponds to reference signal 2, and the RSRP of reference signal 2 (RS2) is RSRP2; beam 3 corresponds to reference signal 3, and the RSRP of reference signal 3 (RS3) is RSRP3. The RSRP ratio of RS2 to RS1 is...

[0238]

[0239] The RSRP ratio of RS3 to RS1 is

[0240]

[0241] Therefore, in the RSRP ratio calculation, RSRP2 and RSRP3 are calculated as numerators, and RSRP1 is calculated as the denominator. The RSRP calculated as the numerator and the RSRP calculated as the denominator can be reported using different quantization methods to better utilize the impact of changes in the precision of the numerator and denominator on the ratio result during the ratio calculation.

[0242] The method of using flag bits to reduce RSRP reporting based on the measured RSRP value refers to the UE initially determining the angular position based on the RSRP value after completing the RSRP measurement, selecting the RSRPs to be reported, and marking the selected RSRPs with flag bits. In this case, at least two RSRPs are reported; or, among several RSRP ratios, the RSRP ratio with the greatest influence is determined, and the reported content is composed of the flag bits, the numerator RSRP, and the denominator RSRP of the RSRP with the greatest influence. This method can replace RSRP reporting with a few flag bits, requiring fewer bits compared to reporting all RSRPs.

[0243] The RSRP reporting content may include at least one of the following: a reference signal set flag, a larger RSRP value flag in the reference signal set, an RSRP ratio group flag, a reported value of the first RSRP, a reported value of the second RSRP, and an index of the resource associated with the reference signal corresponding to the reported value of the first RSRP. Specifically, the reported value of the first RSRP can be used as the numerator in the RSRP ratio calculation, and the reported value of the second RSRP can be used as the denominator in the RSRP ratio calculation.

[0244] - Reference Signal Set Flag: This flag indicates that when the number of reference signal resources transmitted by the BS is greater than 3, i.e., the corresponding set of beams is greater than 3, the three adjacent beams will be grouped into a set, and each set corresponds to a flag. The reference signal set flag supports the splicing of larger beams to increase coverage when there are more than 3 beams.

[0245] Specifically, in the process where the UE reports the RSRP, and the BS calculates the RSRP ratio after receiving the RSRP and uses the RSRP ratio to obtain angle information, there is no limit to the number of reference signal resources (or resources associated with the reference signal) (or a set of beams) transmitted by the BS. The required number of reference signal resources (or beams) is n>2, meaning at least three reference signal resources or beams. When the number of reference signal resources (or beams) transmitted by the BS exceeds three, more beams are stitched together to expand the angle coverage of this beam management. The beams corresponding to the reference signals are divided into sets of three adjacent beams, and the RSRP is reported in units of these sets.

[0246] The specific implementation of the reported reference signal set flag bit can be at least one of the following: calculate all RSRPs corresponding to the reference signals transmitted in this group; select the three reference signals corresponding to the three adjacent RSRPs with the largest values; and report the reference signal set flag bit corresponding to the three reference signals.

[0247] - Larger RSRP value flag in the reference signal set: In a set of three adjacent beams, the RSRP of the reference signals corresponding to the two outer beams is compared, and the flag corresponding to the larger RSRP value is displayed. Specifically, this flag indicates whether the beam corresponding to the larger RSRP value is located to the left or right of the middle beam, in order to determine whether the optimal transmission direction is to the left or right of the center beam. Using this flag can reduce RSRP reporting.

[0248] -RSRP Ratio Group Flag: The flag corresponding to the RSRP ratio with the largest RSRP ratio among multiple RSRP ratio groups. The largest RSRP ratio has the greatest impact when calculating angles.

[0249] - The first RSRP reported value includes at least one of the following: the RSRP corresponding to the larger RSRP value flag in the reference signal set, or the third RSRP in the RSRP ratio flag corresponding to the RSRP ratio group flag.

[0250] - The reported value of the second RSRP: includes at least one of the following: the RSRP associated with a specified reference signal in a set of three reference signals, or the fourth RSRP in the RSRP ratio corresponding to the RSRP ratio group flag bit. The specified reference signal can be the reference signal corresponding to the middle beam among the three beams corresponding to the three reference signals.

[0251] - The index of the reference signal associated with the reported value of the first RSRP. The reference signal associated with the first RSRP can be used to identify the reference signal resources used by the first RSRP, thereby replacing the RSRP larger value flag bit in the reference signal set to obtain the reference signal resource information of the beam corresponding to the larger RSRP value.

[0252] The third RSRP and the fourth RSRP in the RSRP ratio corresponding to the RSRP ratio group flag are used as the numerator and denominator of the RSRP ratio calculation, respectively. For example, the third RSRP in the RSRP ratio corresponding to the RSRP ratio group flag can be used as the numerator of the RSRP ratio calculation, and the fourth RSRP in the RSRP ratio corresponding to the RSRP ratio group flag is used as the denominator of the RSRP ratio calculation. Optionally, the third RSRP in the RSRP ratio corresponding to the RSRP ratio group flag can be used as the denominator of the RSRP ratio calculation, and the fourth RSRP in the RSRP ratio corresponding to the RSRP ratio group flag is used as the numerator of the RSRP ratio calculation.

[0253] - Optionally, when a set of reference signal resources transmitted corresponds to only 3 reference signals, the RSRP larger value flag bit in the reference signal set represents the same content as the RSRP ratio group flag bit, and there are only two RSRP ratios.

[0254] - In a specific implementation, a single flag bit can be used to simultaneously represent the reference signal set flag and the larger RSRP value flag bit in the reference signal set.

[0255] An example implementation of this disclosure is as follows: when a set of transmitted reference signal resources corresponds to only 3 reference signals, the UE reporting content may include:

[0256] RSRP ratio group flag bit The first RSRP reported value The second RSRP reported value

[0257] The RSRP ratio group flag indicates which RSRP ratio group the UE is reporting. In the reported content, the order of the RSRP ratio group flag, the reported value of the first RSRP, and the reported value of the second RSRP is not restricted. The RSRP ratio group flag can be replaced by the RSRP larger value flag from the reference signal set.

[0258] Specifically, with Figure 4 For example, the BS transmits a set of reference signal resources, corresponding to three reference signals: reference signal 1, reference signal 2, and reference signal 3. This corresponds to a set of beams containing three beams: beam 1, beam 2, and beam 3. In this set of beams, the RSRP of the reference signal corresponding to beam 1, which is the center beam, can be reported as the second RSRP. The center beam can be used as a reference direction when calculating beam pointing deviation. The RSRPs of the reference signals corresponding to beams 2 and 3 on either side of the center beam can be reported as the first RSRP. Specifically, there are two sets of RSRP ratios corresponding to the three reference signals (or three beams): the RSRP ratio of beam 2 to beam 1 (or RS2 to RS1). and the RSRP ratio of beam 3 to beam 1 (or RS3 to RS1). One bit is used as the RSRP ratio group flag. For example, when the RSRP ratio group flag is 0, it means that the RSRP ratio of beam 2 to beam 1 is being reported. Therefore, the reported value as the first RSRP is RSRP2, and the reported value as the second RSRP is RSRP1; when the RSRP ratio group flag is 1, it means that the RSRP ratio of beam 3 to beam 1 is being reported at this time. Therefore, the reported value of the first RSRP is RSRP3, and the reported value of the second RSRP is RSRP1.

[0259] The selection of the RSRP ratio group flag can be determined by the magnitude of the RSRP value. The RSRP ratio group flag identifies the beam with the larger RSRP of the reference signal among the two outer beams corresponding to a set of three adjacent beams containing three reference signals. For example, in... Figure 4 In this context, when RSRP2 > RSRP3, it indicates that the optimal transmission direction is closer to the transmission direction of beam 2 than beam 3. This means the reference signal energy received through beam 2 is greater than that received through beam 3. Therefore, the RSRP ratio of beams 2 and 1 has a greater impact than the RSRP ratio of beam 3 and 1. The numerator RSRP, i.e. RSRP2, and the denominator RSRP, i.e. RSRP1, are obtained. At this time, the corresponding RSRP ratio group flag is 0.

[0260] Similarly, when RSRP3 > RSRP2, it indicates that the optimal transmission direction is closer to the transmission direction of beam 3 than beam 2. This means the reference signal energy received through beam 3 is greater than that received through beam 2. Therefore, the RSRP ratio of beam 3 to beam 1 has a greater impact than the RSRP ratio of beam 2 to beam 1. The numerator RSRP, i.e. RSRP3, and the denominator RSRP, i.e. RSRP1, are obtained. At this time, the corresponding RSRP ratio group flag is set to 1.

[0261] Therefore, compared to reporting three RSRPs (RSRP1, RSRP2, and RSRP3), using a 1-bit flag can reduce the reporting of one RSRP, thus saving on the amount of reporting. The RSRP ratio group flag provides a comparison with the center beam (e.g., Figure 4 The pointing deviation information of beam 1 (e.g., closer to beam 2 or closer to beam 3) is combined with the corresponding RSRP value calculated as the numerator and RSRP value calculated as the denominator to obtain the optimal transmission direction.

[0262] According to an example implementation of this disclosure, the number of reference signal resources transmitted in a set can be four, corresponding to four beams. When the UE receives a set of reference signals, it can first determine the three largest RSRPs to identify the three reference signals used to determine angle information within the corresponding set. For example, suppose the transmitted set of reference signals is reference signal 1, reference signal 2, reference signal 3, and reference signal 4. After receiving the four reference signals, the UE calculates the corresponding RSRPs for each of the four reference signals and then selects the three signals with the largest RSRPs, such as reference signal 1, reference signal 2, and reference signal 3. Subsequent operations then consider the case where the same set of reference signal resources contains three reference signals.

[0263] When the number of reference signal resources in a transmitted set is greater than three, both the reference signal set flag and the flag indicating the largest RSRP value in the reference signal set can be used simultaneously. For example, when the number of reference signal resources in a transmitted set is four, corresponding to reference signals 1, 2, 3, and 4, and the angles of beams 1, 2, 3, and 4 corresponding to reference signals 1, 2, 3, and 4 are monotonically changing, there may be two sets. Each set contains three reference signals used to determine angle information; that is, the first set contains reference signals 1, 2, and 3, and the second set contains reference signals 2, 3, and 4. This is because when the angles of beams 1, 2, 3, and 4 are monotonically changing, the beams corresponding to the three reference signals with the largest RSRP are three adjacent beams. In this case, two flag bits are used, and the specific implementation can be shown in Table 11B.

[0264] Table 11B shows the RSRP ratio group flag mapping for a set of four reference signal resources.

[0265] Flag field First RSRP Second RSRP 00 RSRP1 RSRP2 01 RSRP3 RSRP2 10 RSRP2 RSRP3 11 RSRP4 RSRP3

[0266] In this case, using a 2-bit flag and two RSRPs can replace the reporting of four RSRPs, which is especially suitable for situations where the RSRP reporting value requires a large number of quantization bits, effectively saving reporting overhead. The most significant bit in the flag bits here represents the reference signal set flag bit, that is, the flag bit is 0, indicating that the selected reference signal set corresponds to beams including beam 1, beam 2 and beam 3.

[0267] Therefore, the number of reference signals transmitted can be greater, and the specific implementation details will not be elaborated here.

[0268] The direct RSRP reporting method refers to the UE measuring and reporting the RSRP corresponding to each reference signal from a set of reference signals sent by the BS. A uniform quantization method or different quantization methods can be used for each RSRP. Optionally, when a uniform quantization method is used, and the quantization bits are 7 and / or the step size is 1dB, the RSRP reporting method reverts to the traditional (legacy) 7-bit quantization and 1dB step size RSRP reporting, ensuring compatibility with existing protocols. After the base station receives the RSRP corresponding to each reference signal, it can use either RSRP ratio-based beam management or revert to beam scanning-based beam management. The specific beam management method used depends on the specific application scenario. This revert mechanism ensures compatibility with existing beam management methods and is suitable for situations such as coexistence with legacy UEs. Furthermore, reporting each RSRP value allows the base station to obtain information about every sent beam, providing more comprehensive beam information compared to reporting only a few beams' RSRPs.

[0269] The method of using RSRP reporting can obtain the most original measurement information.

[0270] When the reported measurement is the RSRP ratio, the BS, upon receiving the RSRP ratio, can use the one-to-one mapping relationship between the RSRP ratio and angle information (e.g., beam pointing deviation) to obtain the angle information. The RSRP ratio reporting method may include at least one of the following: reporting each group of RSRP ratios; reporting the RSRP ratio group flag bit and the corresponding RSRP ratio.

[0271] The RSRP ratio is defined as the linear average of the power contribution (in units [W]) of the resource element carrying reference signal RS1 divided by the linear average of the power contribution (in units [W]) of the resource element carrying reference signal RS2. The linear average of the power contribution (in units [W]) of the resource element carrying reference signal RS1 is the RSRP of reference signal RS1, denoted as RSRP1. Similarly, the linear average of the power contribution (in units [W]) of the resource element carrying reference signal RS2 is the RSRP of reference signal RS2, denoted as RSRP2. The RSRP ratio can then be expressed as:

[0272]

[0273] The RSRP ratio can be reported in a way that reports each group of RSRP values. For example, in Figure 4In the process, the RSRP ratio of the RS corresponding to beam 2 and beam 1 is reported, as well as the RSRP ratio of the RS corresponding to beam 3 and beam 1. Optionally, when the number of reference signals in a transmitted set is greater than 3, the reported RSRP ratio can be one of the following: divide the beams corresponding to the reference signals into sets of 3 adjacent beams; in a set of 3 adjacent beams, use the RSRP of the reference signal corresponding to the middle beam as the denominator and the RSRP of the reference signals corresponding to the two outer beams as the numerator to obtain two sets of RSRP ratios; during reporting, the two sets of RSRP ratios corresponding to each set of reference signals are reported separately. The method of reporting each set of RSRP ratios allows the base station to obtain comprehensive RSRP ratio information. Optionally, the RSRP of the reference signal corresponding to the middle beam can also be used as the numerator, and the RSRP of the reference signals corresponding to the two outer beams can be used as the denominator. The choice of which reference signal corresponds to RSRP as the numerator or denominator can be preset by the base station and the UE, or it can be configured by the base station for the UE, for example, through RRC signaling, DCI, or MAC CE.

[0274] In one possible embodiment, two RSRP ratios are used to establish a two-to-one mapping relationship with an angle information, such as... Figure 12 As shown, RSRP ratio 1 and RSRP ratio 2 correspond to an angle information. Compared to using two RS to generate an RSRP ratio, forming a one-to-one mapping relationship with the angle information, and using this one-to-one mapping relationship for beam management, using a two-to-one mapping relationship can improve beam selection accuracy and expand the measurement range.

[0275] The RSRP ratio reporting method can also reduce the reported RSRP ratio by using flag bits based on the magnitude of several groups of RSRP ratios. Compared to reporting all RSRP ratios, this method can reduce the amount of reporting. Specifically, the RSRP ratio reporting content can include at least one of the following: a reference signal set flag bit, an RSRP ratio group flag bit, the RSRP ratio, and an index of the resources associated with the reference signals other than the specified reference signal in the RSRP ratio calculation.

[0276] - Reference Signal Set Flag: This flag indicates that when the number of reference signal resources transmitted by the BS is greater than 3 (i.e., the corresponding set of beams is greater than 3), the three adjacent beams are grouped into a set, and each set corresponds to a flag. The reference signal set flag supports the splicing of larger beams to increase coverage when there are more than 3 beams. For a detailed implementation of the reported reference signal set flag, please refer to the above text; it will not be repeated here.

[0277] - RSRP Ratio Group Flag: The RSRP ratio group flag includes at least one of the following: the RSRP ratio group flag reported among the two RSRP ratio groups corresponding to the reference signal flag group; or the RSRP flag reported among all calculated RSRP ratio groups. A specific implementation of reporting the RSRP ratio group flag can be to report the flag corresponding to the largest RSRP ratio among the candidate RSRP ratio groups. The largest RSRP ratio has the greatest impact when performing angle calculations.

[0278] -RSRP ratio, see above for definition.

[0279] - The index of the resources associated with the reference signals other than the specified reference signal in the RSRP ratio calculation. This index indicates the resource information of another reference signal participating in the RSRP ratio calculation, besides the specified reference signal, within a set of reference signals. Optionally, the index of the resources associated with the reference signals other than the specified reference signal in the RSRP ratio calculation can replace the RSRP ratio group flag. The specified reference signal can be the reference signal corresponding to the middle beam among the three beams in a set of reference signals.

[0280] An example implementation according to an embodiment of this disclosure is as follows: the content reported by the UE may include:

[0281] Reference signal set flag RSRP ratio group flag bit RSRP ratio

[0282] There are no restrictions on the method of transmitting the reference signal. It can be done by transmitting a set of reference signals in multiple time slots, or by transmitting multiple reference signals corresponding to multiple beams in one time slot.

[0283] The reporting method using RSRP ratio as the measurement quantity can save on the amount of data reported and reduce costs compared to the reporting method using RSRP as the measurement quantity. For example, the RSRP reporting method requires reporting RSRP measurements as both the numerator and denominator, while the reporting method using RSRP ratio only requires reporting the calculated result of the ratio of RSRP measurements.

[0284] In one possible embodiment, when the RSRP ratio is used as a measurement, the beam management method includes at least one of the following: the UE receives an RS configuration associated with no fewer than three overlapping beams; the UE receives a CSI report configuration associated with the RSRP ratio; the UE performs a measurement calculation of the RSRP ratio; the UE reports two quantized RSRP ratios; the UE reports the quantized RSRP ratio and an RSRP reference signal combination flag, and / or an RSRP ratio group flag; the UE receives information from the base station using adjusted beam transmission.

[0285] The example implementation of beam management using the RSRP ratio as a measurement can be as follows: Figure 13 As shown, it may include one or a combination of the following:

[0286] Step 1301: The UE receives RS configuration associated with no less than 3 overlapping beams;

[0287] Step 1302: The UE receives the CSI report configuration associated with the RSRP ratio;

[0288] Step 1303: The UE performs the RSRP ratio measurement and calculation;

[0289] Step 1304: The UE reports the ratio of the two quantized RSRP values;

[0290] Step 1305: The UE receives information from the base station using the adjusted beam transmission;

[0291] The beam selection mentioned above is based on a two-to-one mapping relationship.

[0292] When the reported measurement is the equivalent channel estimation ratio, the BS, after receiving the equivalent channel estimation ratio, uses the one-to-one mapping relationship between the equivalent channel estimation ratio and angle information (e.g., beam pointing deviation) to obtain the angle information.

[0293] The equivalent channel estimation ratio can be defined as the ratio of the time-domain channel estimates of the second reference signal (the reference signal whose beam gain has a complementary peak to that of the first reference signal) to the time-domain channel estimate of the first reference signal (the reference signal whose beam center direction is the detection direction) at the position where the time-domain channel estimate of the first reference signal reaches its peak; it can also be defined as the ratio of the cumulative frequency-domain channel estimate of the second reference signal to the frequency-domain channel estimate of the first reference signal.

[0294] The equivalent channel estimation ratio is reported by reporting each set of equivalent channel estimation ratios. Since the equivalent channel estimation ratio is a complex number, the real and imaginary parts need to be reported separately. Optionally, in some scenarios, since the real or imaginary part values ​​are small and have little impact on angle information judgment, they can be omitted to save overhead. In addition, a set of equivalent channel ratios needs to be reported separately for the horizontal direction (azimuth domain) and the vertical direction (elevation or zenith domain) to perform beam management in both the horizontal and vertical directions simultaneously.

[0295] The reporting method using the equivalent channel estimation ratio as the measurement quantity is a beam management method based on the equivalent channel estimation ratio. Compared with the management method based on the RSRP ratio, such as reporting quantities as RSRP or RSRP ratio, the beam management method based on the equivalent channel estimation ratio has better robustness for channels that can operate at line of sight (LOS) or non-line of sight (NLOS).

[0296] When the reported measurement is related to angle information, the BS can directly obtain the angle information and make subsequent beam direction adjustments to achieve beam management.

[0297] The UE may report at least one of the following measurements related to angle information: beam pointing deviation, transmission angle, angle deviation, beam index, angle index, etc.

[0298] The beam pointing deviation and detection direction can be used to obtain the transmission angle.

[0299] The use of dynamic quantization to report angle-related measurements is applicable to situations where different regions have different quantization requirements, such as different beam angle ranges in peripheral and central regions, resulting in different quantization requirements for the reported angle accuracy.

[0300] The UE may report information based on different quantization requirements in different regions in at least one of the following ways: the UE receives configuration related to coarse angle information; the UE receives information transmission related to coarse angle information; the UE reports coarse angle information; the UE receives configuration of dynamic quantization method; the UE receives transmission of reference signals related to RSRP ratio, RSRPP ratio, or equivalent channel estimation ratio; the UE performs measurement calculation of the reported amount; the UE reports the result of dynamic quantization; the UE receives information from the base station using adjusted beam transmission.

[0301] The configuration related to the coarse angle information may include at least one of the following: configuring the Synchronization Signal / Physical Broadcast Channel Block (SSB), such as configuring ssb-index-RSRP.

[0302] The UE receiving information transmission related to coarse angle information may include at least one of the following: the UE receiving SSB transmission from the base station.

[0303] The UE may report coarse angle information including at least one of the following: reporting ssb-index-RSRP.

[0304] The UE receiving configuration related to coarse angle information, the UE receiving information transmission related to coarse angle information, and the UE reporting coarse angle information allow the base station to obtain the UE's coarse angle information, such as whether it is in the edge region or the center region, and to perform further dynamic quantization configuration based on this information.

[0305] The example implementation of the UE reporting according to different quantization requirements for different regions can be as follows: Figure 6 As shown, it may include one or a combination of the following:

[0306] Step 1: The UE receives the CSI report configuration from the base station, which includes ssb-index-RSRP;

[0307] Step 2: The UE receives SSB transmissions from the base station;

[0308] Step 3: The UE reports the ssb-index-RSRP;

[0309] Step 4: The UE receives the quantization method configuration from the base station, whereby the base station determines the quantization method based on the ssb-index-RSRP. The ssb-index-RSRP provides the UE with coarse angle information: it provides the index of the largest SSB with the highest RSRP. Since each SSB index corresponds to an angle range, coarse angle information of the UE can be obtained based on the index. The quantization method may include the dynamic quantization method disclosed herein.

[0310] Step 5: The UE receives the transmission of a reference signal related to the RSRP ratio, RSRPP ratio, or equivalent channel estimation ratio;

[0311] Step 6: The UE reports the quantized measurements;

[0312] Step 7 (optional): Re-receive configuration if the reported measurement does not meet the requirements;

[0313] Step 8 (optional): Resubmit the report based on the new configuration;

[0314] Step 9: Receive information from the base station using the adjusted beam. The base station uses the received measurements to adjust the beam direction.

[0315] It should be understood that, depending on the application scenario, the various examples, methods, steps, and processes shown in the accompanying drawings can be combined and implemented in any way, and this document does not impose any restrictions.

[0316] Next, Figure 7A flowchart of a method 700 performed by a user equipment (UE) in a wireless communication system according to an embodiment of the present disclosure is shown.

[0317] like Figure 7 As shown, a method 700 performed by a user equipment (UE) in a wireless communication system according to an embodiment of the present disclosure may include: receiving a reference signal from a base station in step S701; and sending, in step S702, reporting information including reported values ​​of the measurement quantity related to the reference signal to the base station based on the correlation between a plurality of measurement value ranges of the measurement quantity and a plurality of quantization step sizes, wherein the plurality of quantization step sizes include at least two different quantization step sizes.

[0318] Optionally, the UE may also include at least one of the following methods for reporting based on different quantization requirements in different regions: the UE receives configuration related to coarse angle information; the UE receives configuration information related to coarse angle information and quantization method; the UE receives information transmission related to coarse angle information; the UE reports coarse angle information; the UE receives transmission of reference signals related to RSRP ratio, RSRPP ratio, or equivalent channel estimation ratio; the UE performs measurement calculation of the reported amount; the UE reports the result of dynamic quantization; and the UE receives information from the base station using adjusted beam transmission.

[0319] Optionally, the configuration information related to the coarse angle information and quantization method may include a measurement report mapping index associated with each SSB index. In this way, when the UE reports ssb-index-RSRP to the base station, both the base station and the UE can determine the quantization method to be used when the UE reports the following measurements (RSRP ratio, RSRPP ratio, or equivalent channel estimation ratio) based on the SSB index reported by the UE. Therefore, the BS no longer needs to configure additional quantization method information for the UE.

[0320] In one possible embodiment, the example implementation of the UE reporting different regions according to different quantization requirements can be as follows: Figure 11 As shown, it may include one or a combination of the following:

[0321] Step 1101: The UE receives the CSI report configuration from the base station, which includes ssb-index-RSRP;

[0322] Step 1102: The UE receives the CSI report configuration from the base station, which includes the association between the SSB index and the measurement report mapping index;

[0323] Step 1103: The UE receives SSB transmission from the base station;

[0324] Step 1104: The UE reports the ssb-index-RSRP;

[0325] Step 1105: The UE receives the transmission of a reference signal related to the RSRP ratio, RSRPP ratio, or equivalent channel estimation ratio;

[0326] Step 1106: The UE reports the quantized measurement.

[0327] Step 1107 (optional): Re-receive configuration when the reported measurement does not meet the requirements;

[0328] Step 1108 (optional): Resubmit the report based on the new configuration;

[0329] Step 1109: Receive information from the base station using the adjusted beam transmission. The base station uses the received measurements to adjust the beam direction.

[0330] In one possible embodiment, the example implementation of the UE reporting different regions according to different quantization requirements can be as follows: Figure 14 As shown, it may include one or a combination of the following:

[0331] Step 1401: The UE receives CSI report configuration from the base station, which includes one or more of the following: ssb-index-RSRP, association between SSB index and measurement report mapping index, parameters of measurement report mapping relationship, etc.

[0332] Step 1402: The UE receives SSB transmission from the base station;

[0333] Step 1403: The UE reports a CSI report, which may include the SSB index;

[0334] Step 1404: The UE receives RS configuration associated with no less than 3 overlapping beams;

[0335] Step 1405: The UE receives the CSI report configuration associated with the RSRP ratio;

[0336] Step 1406: The UE performs the RSRP ratio measurement and calculation;

[0337] Step 1407: The UE reports the ratio of the two quantized RSRP values;

[0338] Step 1408: The UE receives information from the base station using the adjusted beam transmission.

[0339] In one possible embodiment, the example implementation of the UE reporting different regions according to different quantization requirements can be as follows: Figure 15As shown, it may include one or a combination of the following:

[0340] Step 1501: The UE sends a CSI report configuration to the BS, which may include one or more related information such as indication information, table index, and table content related to the table-based quantization method;

[0341] Step 1502: The UE receives a CSI report from the BS, which may include quantified values ​​based on a table.

[0342] In one possible embodiment, the example implementation of the UE reporting different regions according to different quantization requirements can be as follows: Figure 16 As shown, it may include one or a combination of the following:

[0343] Step 1601: The UE sends a CSI report configuration to the BS, which may include information related to reporting explicit values ​​using mixed bit allocation;

[0344] Step 1602: The UE receives a CSI report from the BS, which may include a reported value based on part 1 of the fixed quantization bits and a reported value based on part 2 of the dynamic quantization bits.

[0345] In one possible embodiment, the example implementation of the UE reporting different regions according to different quantization requirements can be as follows: Figure 17 As shown, it may include one or a combination of the following:

[0346] Step 1701: The UE sends a CSI report configuration to the BS, which may include information related to reporting explicit values ​​using fixed quantization bits;

[0347] Step 1702: The UE receives a CSI report from the BS, which may include a reported value based on fixed quantization bits using integer-fractional bit partitioning.

[0348] According to an embodiment of this disclosure, the method further includes: receiving first configuration information from the base station, wherein the first configuration information includes the correlation between multiple measurement value ranges of the measurement quantity and multiple quantization step sizes.

[0349] According to embodiments of this disclosure, the method further includes: receiving second configuration information from the base station, wherein the second configuration information includes multiple correlation relationships between multiple measurement value ranges of a measurement quantity and multiple quantization step sizes; and receiving first information from the base station, wherein the first information is used to indicate one of the multiple correlation relationships.

[0350] According to embodiments of this disclosure, the method further includes: receiving third configuration information from the base station, wherein the third configuration information includes at least one of the following: identification information regarding whether dynamic quantization is used, and information related to reported measurements, wherein the reported measurements include at least one of the following: Reference Received Power (RSRP), RSRP ratio, Equivalent Channel Estimation Ratio, and Reference Received Path Power (RSRPP) ratio.

[0351] According to embodiments of this disclosure, the association between multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes a first association, wherein the first association includes at least one of the following: an association between the reported value of the measured quantity and the measurement value range, wherein the measurement value range in the association is determined based on multiple measurement intervals and multiple quantization step sizes corresponding to each of the multiple measurement intervals, wherein the multiple quantization step sizes include at least two different quantization step sizes, or an association between the reported value of the measured quantity, the measurement value range, and the quantization step sizes, wherein the multiple quantization step sizes corresponding to each of the measurement value ranges include at least two different quantization step sizes, wherein sending reporting information including the reported value of the measured quantity related to the reference signal to the base station based on the association between the multiple measurement value ranges and the multiple quantization step sizes of the measured quantity includes: determining a first reported value of the measured quantity based on a first measured value of the measured quantity and the first association, wherein the first measured value is obtained based on the reference signal; and sending the first reported value to the base station.

[0352] According to embodiments of this disclosure, the association between multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes a second association, wherein the second association includes the association between a measurement interval and a scaling factor, and the association between the reported value of the measured quantity corresponding to each scaling factor and the measurement value range, wherein the scaling factor is associated with multiple quantization step sizes, wherein the multiple quantization step sizes include at least two different quantization step sizes, wherein sending reporting information including the reported value of the measured quantity related to the reference signal to the base station based on the association between the multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes: determining a first scaling factor based on a second measurement value of the measured quantity and the association between the measurement interval and the scaling factor, wherein the second measurement value is obtained based on the reference signal; determining a second reported value of the measured quantity based on the association between the reported value of the measured quantity corresponding to the first scaling factor and the measurement value range and the second measurement value; and sending the second reported value and the first scaling factor to the base station.

[0353] According to embodiments of this disclosure, the association between multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes a third association, wherein the third association includes an association between the measurement interval of the measured quantity and an integer bit indicator for representing the integer part of the quantized value, and an association between the reported value of the measured quantity corresponding to each integer bit indicator and the measurement value range, wherein the integer bit indicator is associated with multiple quantization step sizes, wherein the multiple quantization step sizes include at least two different quantization step sizes, wherein sending reporting information including the reported value of the measured quantity related to the reference signal to the base station based on the association between the multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes: determining a first integer bit indicator based on a third measurement value of the measured quantity and the association between the measurement interval of the measured quantity and the integer bit indicator, wherein the third measurement value is obtained based on the reference signal; determining a third reported value of the measured quantity based on the association between the reported value of the measured quantity corresponding to the first integer bit indicator and the measurement value range and the third measurement value; and sending the third reported value and the first integer bit indicator to the base station.

[0354] According to embodiments of this disclosure, the association between multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes a fourth association, wherein the fourth association includes the association between the reported value of the measured quantity and the measurement value range, and the association between the measurement value range and the number of dynamic quantization bits. Sending reporting information including the reported value of the measured quantity related to the reference signal to the base station based on the association between the multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes: determining a fourth reported value of the measured quantity based on the fourth measured value of the measured quantity and the association between the reported value of the measured quantity and the measurement value range, wherein the fourth measured value is obtained based on the reference signal; determining a first number of dynamic quantization bits for quantizing the measured quantity based on the fourth measured value and the association between the measurement value range and the number of dynamic quantization bits; determining a fifth reported value of the measured quantity based on the fourth measured value and the first number of dynamic quantization bits; and sending the fourth reported value and the fifth reported value to the base station.

[0355] According to embodiments of this disclosure, the reported information includes: a sixth reported value associated with a specified reference signal in the reference signal set; a seventh reported value associated with the reference signal with the largest measured value among the remaining reference signals in the reference signal set excluding the specified reference signal; first identification information or an index of a resource associated with the reference signal corresponding to the seventh reported value, wherein the first identification information is used to identify the association between the resource associated with the reference signal corresponding to the seventh reported value and the resource associated with the specified reference signal.

[0356] According to embodiments of this disclosure, the reported information includes: a first ratio, the first ratio being based on an eighth reported value and a ninth reported value; wherein the eighth reported value is a reported value associated with a specified reference signal in the reference signal set, and the ninth reported value is a reported value of the reference signal with the largest measured value among the remaining reference signals in the reference signal set excluding the specified reference signal; and second identification information or an index of a resource associated with the reference signal corresponding to the ninth reported value, wherein the second identification information is used to identify the association between the resource associated with the reference signal corresponding to the ninth reported value and the resource associated with the specified reference signal.

[0357] According to embodiments of this disclosure, the reference signals in the reference signal set include a specified number of reference signals in a configured reference signal group, and beams adjacent to resources associated with the reference signals in the reference signal set; wherein, the reporting information further includes: third identification information, used to indicate the index of the reference signal set in the reference signal group.

[0358] Figure 8 A flowchart of a method 800 performed by a base station in a wireless communication system according to an embodiment of the present disclosure is shown.

[0359] like Figure 8 As shown, a method 800 performed by a base station in a wireless communication system according to an embodiment of the present disclosure may include: in step S801, sending a reference signal to a user equipment (UE); and in step S802, receiving from the UE a reporting information including a reported value of a measurement quantity related to the reference signal, based on the association between a plurality of measurement value ranges and a plurality of quantization step sizes, wherein the plurality of quantization step sizes include at least two different quantization step sizes.

[0360] According to an embodiment of this disclosure, the method further includes: sending first configuration information to the UE, wherein the first configuration information includes the association between multiple measurement value ranges of the measurement quantity and multiple quantization step sizes.

[0361] According to embodiments of this disclosure, the method further includes: sending second configuration information to the UE, wherein the second configuration information includes multiple correlations between multiple measurement value ranges of a measurement quantity and multiple quantization step sizes; and sending first information to the UE, wherein the first information is used to indicate one of the multiple correlations.

[0362] According to embodiments of this disclosure, the method further includes: sending third configuration information to the UE, wherein the third configuration information includes at least one of the following: identification information regarding whether dynamic quantization is used, and information related to the reported measurement quantity, wherein the reported measurement quantity includes at least one of the following: Reference Received Power (RSRP), RSRP ratio, Equivalent Channel Estimation Ratio, and Reference Received Path Power (RSRPP) ratio.

[0363] According to embodiments of this disclosure, the association between multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes a first association, wherein the first association includes at least one of the following: an association between the reported value of the measured quantity and the measurement value range, wherein the measurement value range in the association is determined based on multiple measurement intervals and multiple quantization step sizes corresponding to each of the multiple measurement intervals, wherein the multiple quantization step sizes include at least two different quantization step sizes, or an association between the reported value of the measured quantity, the measurement value range, and the quantization step size, wherein the multiple quantization step sizes corresponding to each of the measurement value ranges include at least two different quantization step sizes, wherein receiving reporting information from the UE including the reported value of the measured quantity related to the reference signal includes: receiving a first reported value of the measured quantity from the UE, wherein the first reported value is determined based on a first measurement value of the measured quantity and the first association, wherein the first measurement value is obtained based on the reference signal.

[0364] According to embodiments of this disclosure, the association between multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes a second association, wherein the second association includes an association between a measurement interval and a scaling factor, and an association between the reported value of the measured quantity corresponding to each scaling factor and the measurement value range, wherein the scaling factor is associated with multiple quantization step sizes, wherein the multiple quantization step sizes include at least two different quantization step sizes, wherein receiving reporting information from the UE including the reported value of the measured quantity related to the reference signal includes: receiving a second reported value of the measured quantity and a first scaling factor from the UE, wherein the second reported value is determined based on the association between the reported value of the measured quantity corresponding to the first scaling factor and the measurement value range and the second measured value of the measured quantity, wherein the first scaling factor is determined based on the second measured value of the measured quantity and the association between the measurement interval and the scaling factor, wherein the second measured value is obtained based on the reference signal.

[0365] According to embodiments of this disclosure, the association between multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes a third association, wherein the third association includes an association between the measurement interval of the measured quantity and an integer bit indicator for representing the integer part of the quantized value, and an association between the reported value of the measured quantity corresponding to each integer bit indicator and the measurement value range, wherein the integer bit indicator is associated with multiple quantization step sizes, wherein the multiple quantization step sizes include at least two different quantization step sizes, wherein receiving reporting information from the UE including the reported value of the measured quantity related to the reference signal includes: receiving a third reported value of the measured quantity and a first integer bit indicator from the UE, wherein the third reported value is determined based on the association between the reported value of the measured quantity corresponding to the first integer bit indicator and the measurement value range and the third measured value of the measured quantity, wherein the first integer bit indicator is determined based on the third measured value of the measured quantity and the association between the measurement interval of the measured quantity and the integer bit indicator, wherein the third measured value is obtained based on the reference signal.

[0366] According to embodiments of this disclosure, the association between multiple measurement value ranges and multiple quantization step sizes of the measured quantity includes a fourth association, wherein the fourth association includes the association between the reported value of the measured quantity and the multiple measurement value ranges, and the association between the measurement value ranges and the number of dynamic quantization bits. Receiving reporting information from the UE, including the reported value of the measured quantity related to the reference signal, includes receiving a fourth and a fifth reported value of the measured quantity from the UE. The fourth reported value is determined based on the fourth measured value of the measured quantity and the association between the reported value of the measured quantity and the measurement value ranges. The fourth measured value is obtained based on the reference signal. The fifth reported value is determined based on the fourth measured value and a first number of dynamic quantization bits used to quantize the measured quantity, and the first number of dynamic quantization bits is determined based on the fourth measured value and the association between the measurement value ranges and the number of dynamic quantization bits.

[0367] According to embodiments of this disclosure, the reported information includes: a sixth reported value associated with a specified reference signal in the reference signal set; a seventh reported value associated with the reference signal with the largest measured value among the remaining reference signals in the reference signal set excluding the specified reference signal; first identification information or an index of a resource associated with the reference signal corresponding to the seventh reported value, wherein the first identification information is used to identify the association between the resource associated with the reference signal corresponding to the seventh reported value and the resource associated with the specified reference signal.

[0368] According to embodiments of this disclosure, the reported information includes: a first ratio, the first ratio being based on an eighth reported value and a ninth reported value; wherein the eighth reported value is a reported value associated with a specified reference signal in the reference signal set, and the ninth reported value is a reported value of the reference signal with the largest measured value among the remaining reference signals in the reference signal set excluding the specified reference signal; and second identification information or an index of a resource associated with the reference signal corresponding to the ninth reported value, wherein the second identification information is used to identify the association between the resource associated with the reference signal corresponding to the ninth reported value and the resource associated with the specified reference signal.

[0369] According to embodiments of this disclosure, the reference signals in the reference signal set include a specified number of reference signals in a configured reference signal group, and beams adjacent to resources associated with the reference signals in the reference signal set; wherein, the reporting information further includes: third identification information, used to indicate the index of the reference signal set in the reference signal group.

[0370] It should be understood that methods 700 and 800, etc., according to embodiments of this disclosure may also include any methods or steps described in conjunction with various examples, aspects, drawings, etc. of this disclosure.

[0371] Next, Figure 9 A schematic diagram of a base station 900 according to an embodiment of the present disclosure is shown.

[0372] like Figure 9 As shown, a base station 900 according to an embodiment of the present disclosure may include a transceiver 910 and a processor 920. The transceiver 910 may be configured to transmit and receive signals. The processor 920 may be coupled to the transceiver 910 and may be configured (e.g., to control the transceiver 910) to perform a method performed by a base station in a wireless communication system according to an embodiment of the present disclosure.

[0373] Figure 10 A schematic diagram of a user equipment (UE) 1000 according to an embodiment of the present disclosure is shown.

[0374] like Figure 10 As shown, a user equipment 1000 according to an embodiment of this disclosure may include a transceiver 1010 and a processor 1020. The transceiver 1010 may be configured to transmit and receive signals. The processor 1020 may be coupled to the transceiver 1010 and may be configured (e.g., to control the transceiver 1010) to perform methods executed by a user equipment (UE) in a wireless communication system according to an embodiment of this disclosure. In this disclosure, the processor may also be referred to as a controller.

[0375] Embodiments of this disclosure also provide a computer-readable medium having computer-readable instructions stored thereon, which, when executed by a processor, can be used to implement any method according to embodiments of this disclosure.

[0376] Various embodiments of this disclosure can be implemented as computer-readable code embodied on a computer-readable recording medium from a particular perspective. A computer-readable recording medium is any data storage device capable of storing data readable by a computer system. Examples of computer-readable recording media may include read-only memory (ROM), random access memory (RAM), optical disc read-only memory (CD-ROM), magnetic tape, floppy disk, optical data storage device, carrier wave (e.g., data transmission via the Internet), and the like. Computer-readable recording media can be distributed via computer systems connected via a network, and thus computer-readable code can be stored and executed in a distributed manner. Furthermore, the functional programs, code, and code segments used to implement the various embodiments of this disclosure can be readily interpreted by those skilled in the art applying the embodiments of this disclosure.

[0377] It will be understood that embodiments of this disclosure can be implemented in hardware, software, or a combination of hardware and software. Software can be stored as processor-executable program instructions or computer-readable code on a non-transitory computer-readable medium. Examples of non-transitory computer-readable recording media include magnetic storage media (e.g., ROM, floppy disk, hard disk, etc.) and optical recording media (e.g., CD-ROM, digital video disc (DVD), etc.). Non-transitory computer-readable recording media can also be distributed across a network-coupled computer system, such that the computer-readable code is stored and executed in a distributed manner. The medium can be read by a computer, stored in memory, and executed by a processor. Various embodiments can be implemented by a computer or a portable terminal including a controller and memory, and the memory can be an example of a non-transitory computer-readable recording medium suitable for storing a program(s) having instructions for implementing embodiments of this disclosure. This disclosure can be implemented by a program having code for specifically implementing the apparatus and methods described in the claims, the program being stored in a machine (or computer)-readable storage medium. The program can be carried electronically on any medium, such as communication signals transmitted via wired or wireless connections, and this disclosure suitably includes its equivalents.

[0378] The above description is merely a specific embodiment of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any person skilled in the art can make various changes or substitutions within the technical scope disclosed in this disclosure, and such changes or substitutions should all be covered within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A method performed by a user equipment (UE) in a wireless communication system, comprising: Receive reference signals from the base station; as well as Based on the correlation between multiple measurement value ranges and multiple quantization step sizes, a reporting information including the reported values ​​of the measurement quantities related to the reference signal is sent to the base station, wherein the multiple quantization step sizes include at least two different quantization step sizes.

2. The method according to claim 1, further comprising: The base station receives first configuration information, wherein the first configuration information includes the correlation between multiple measurement value ranges of the measurement quantity and multiple quantization step sizes.

3. The method according to claim 1, further comprising: Receive second configuration information from the base station, wherein the second configuration information includes multiple correlation relationships between multiple measurement value ranges of the measurement quantity and multiple quantization step sizes; and Receive first information from the base station, wherein the first information is used to indicate one of the plurality of association relationships.

4. The method according to claim 1, further comprising: Receive third configuration information from the base station, wherein the third configuration information includes at least one of the following: Regarding whether to use dynamic quantization identification information, and information related to the reported measurements, The reported measurements include at least one of the following: Reference Received Power (RSRP), RSRP ratio, Equivalent Channel Estimation Ratio, and Reference Received Path Power (RSRPP) ratio.

5. The method according to claim 1, wherein, The correlation between the multiple measurement ranges of the measured quantity and the multiple quantization steps includes a first correlation, wherein the first correlation includes at least one of the following: The correlation between the reported value of a measurement and the range of measurement values, wherein the range of measurement values ​​in the correlation is determined based on multiple measurement intervals and multiple quantization step sizes corresponding to each of the multiple measurement intervals, wherein the multiple quantization step sizes include at least two different quantization step sizes. or The relationship between the reported value of the measurement, the range of the measurement value, and the quantization step size, wherein the plurality of quantization steps corresponding to each of the measurement value ranges includes at least two different quantization step sizes. The process of sending reporting information to the base station, including the reported values ​​of the measurement quantities related to the reference signal, based on the correlation between multiple measurement value ranges and multiple quantization step sizes of the measurement quantities, includes: Based on the first measured value of the measured quantity and the first correlation relationship, a first reported value of the measured quantity is determined, wherein the first measured value is obtained based on the reference signal; and The first reported value is sent to the base station.

6. The method according to claim 1, wherein, The correlation between the multiple measurement ranges of the measured quantity and the multiple quantization steps includes a second correlation, wherein the second correlation includes the correlation between the measurement interval and the scaling factor, and the correlation between the reported value of the measured quantity corresponding to each scaling factor and the measurement range, wherein the scaling factor is associated with the multiple quantization steps, and the multiple quantization steps include at least two different quantization steps. The process of sending reporting information to the base station, including the reported values ​​of the measurement quantities related to the reference signal, based on the correlation between multiple measurement value ranges and multiple quantization step sizes of the measurement quantities, includes: A first scaling factor is determined based on the second measured value of the measured quantity and the correlation between the measurement interval and the scaling factor, wherein the second measured value is obtained based on the reference signal; Based on the correlation between the reported value and the range of the measured quantity corresponding to the first scaling factor and the second measured value, a second reported value of the measured quantity is determined; and The second reported value and the first scaling factor are sent to the base station.

7. The method according to claim 1, wherein, The association between the multiple measurement ranges of the measured quantity and the multiple quantization step sizes includes a third association, wherein the third association includes the association between the measurement interval of the measured quantity and an integer bit indicator for representing the integer part of the quantized value, and the association between the reported value of the measured quantity corresponding to each integer bit indicator and the measurement range, wherein the integer bit indicator is associated with multiple quantization step sizes, and the multiple quantization step sizes include at least two different quantization step sizes. The process of sending reporting information to the base station, including the reported values ​​of the measurement quantities related to the reference signal, based on the correlation between multiple measurement value ranges and multiple quantization step sizes of the measurement quantities, includes: Based on the third measured value of the measured quantity and the correlation between the measurement interval of the measured quantity and the integer bit indicator, a first integer bit indicator is determined, wherein the third measured value is obtained based on the reference signal; Based on the correlation between the reported value and the range of the measured quantity corresponding to the first integer bit indicator and the third measured value, the third reported value of the measured quantity is determined; and The third reported value and the first integer bit indicator are sent to the base station.

8. The method according to claim 1, wherein, The correlation between the multiple measurement ranges and multiple quantization steps of the measured quantity includes a fourth correlation, wherein the fourth correlation includes the correlation between the reported value of the measured quantity and the measurement range, and the correlation between the measurement range and the number of dynamic quantization bits. The process of sending reporting information to the base station, including the reported values ​​of the measurement quantities related to the reference signal, based on the correlation between multiple measurement value ranges and multiple quantization step sizes of the measurement quantities, includes: Based on the correlation between the fourth measured value of the measured quantity and the reported value of the measured quantity and the range of the measured value, the fourth reported value of the measured quantity is determined, wherein the fourth measured value is obtained based on the reference signal; Based on the correlation between the fourth measurement value and the range of the measurement value and the number of dynamic quantization bits, a first number of dynamic quantization bits for quantizing the measurement quantity is determined; Based on the fourth measurement value and the first dynamic quantization bit count, a fifth reported value for the measurement is determined; and The fourth and fifth reported values ​​are sent to the base station.

9. The method according to any one of claims 1-8, wherein, The reported information includes: The sixth reported value associated with a specified reference signal in the reference signal set. The seventh reported value associated with the reference signal with the largest measured value among the remaining reference signals in the reference signal set excluding the specified reference signal; The first identification information or the index of the resource associated with the reference signal corresponding to the seventh reported value, wherein the first identification information is used to identify the association between the resource associated with the reference signal corresponding to the seventh reported value and the resource associated with the specified reference signal.

10. The method according to any one of claims 1-8, wherein, The reported information includes: The first ratio is based on an eighth reported value and a ninth reported value; wherein the eighth reported value is a reported value related to a specified reference signal in the set of reference signals, and the ninth reported value is a reported value of the reference signal with the largest measured value among the remaining reference signals in the set of reference signals excluding the specified reference signal; The second identification information or the index of the resource associated with the reference signal corresponding to the ninth reported value, wherein the second identification information is used to identify the association between the resource associated with the reference signal corresponding to the ninth reported value and the resource associated with the specified reference signal.

11. The method according to claim 9 or 10, wherein, The reference signals in the reference signal set include a specified number of reference signals in the configured reference signal group, and the beams associated with the resources related to the reference signals in the reference signal set are adjacent. The reported information also includes: The third identification information is used to indicate the index of the reference signal set in the reference signal group.

12. A method performed by a base station in a wireless communication system, comprising: Send a reference signal to the user equipment (UE); as well as The UE receives reporting information including the reported values ​​of the measurement quantities related to the reference signal, based on the correlation between multiple measurement value ranges and multiple quantization step sizes, wherein the multiple quantization step sizes include at least two different quantization step sizes.

13. A user equipment (UE) in a wireless communication system, comprising: A transceiver is configured to send and receive signals; as well as A controller, coupled to the transceiver and configured to perform the method as described in any one of claims 1-11.

14. A base station in a wireless communication system, comprising: A transceiver is configured to send and receive signals; as well as A controller, coupled to the transceiver and configured to perform the method as described in claim 12.

15. A computer-readable medium having stored thereon computer-readable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-11 or 12.

Images