Parameter determination method and apparatus, device, medium, and product

Abstract

The present application relates to the field of communications, and discloses a parameter determination method and apparatus, a device, a medium, and a product. The method comprises: determining that a compressed sensing parameter is a first compressed sensing parameter associated with a first distance range, wherein the first distance range is less than a second distance range, and the second distance range is associated with a second compressed sensing parameter. According to the method provided by the present application, a first distance range and a second distance range are associated with different compressed sensing parameters, and it is determined that a compressed sensing parameter is a first compressed sensing parameter associated with the first distance range. Because propagation characteristics of electromagnetic waves (or energy) in different distance ranges may be different, different compressed sensing parameters are used for different distance ranges, helping to adapt a compressed sensing theory to different distance ranges (or referred to as transmission environments), thereby implementing compressed sensing for different distance ranges.

Description

Parameter determination methods, apparatus, equipment, media and products Technical Field

[0001] This application relates to the field of communications, and in particular to a parameter determination method, apparatus, device, medium, and product. Background Technology

[0002] With the increase in the number of antennas, especially the development of large-scale antenna array systems, the proportion of near-field channels in communication scenarios has increased. However, channels at different distances have different characteristics. For example, electromagnetic waves behave as spherical waves in channels close to network devices, while they behave as plane waves in channels far from network devices.

[0003] Summary of the Invention

[0004] This application provides a parameter determination method, apparatus, device, medium, and product, the technical solution of which is as follows:

[0005] According to one aspect of this application, a parameter determination method is provided, the method being executed by a terminal device, the method comprising:

[0006] The compressed sensing parameters are determined to be the first compressed sensing parameters associated with the first distance range;

[0007] Wherein, the first distance range is smaller than the second distance range, and the second distance range is associated with a second compressed sensing parameter.

[0008] According to one aspect of this application, a parameter determination method is provided, the method being performed by a network device, the method comprising:

[0009] The compressed sensing parameters are determined to be the first compressed sensing parameters associated with the first distance range;

[0010] Wherein, the first distance range is smaller than the second distance range, and the second distance range is associated with a second compressed sensing parameter.

[0011] According to one aspect of this application, a parameter determining apparatus is provided, the apparatus comprising:

[0012] The first determining module is used to determine the compressed sensing parameters as first compressed sensing parameters associated with the first distance range;

[0013] Wherein, the first distance range is smaller than the second distance range, and the second distance range is associated with a second compressed sensing parameter.

[0014] According to one aspect of this application, a parameter determining apparatus is provided, the apparatus comprising:

[0015] The second determining module is used to determine that the compressed sensing parameter is a first compressed sensing parameter associated with the first distance range;

[0016] Wherein, the first distance range is smaller than the second distance range, and the second distance range is associated with a second compressed sensing parameter.

[0017] According to one aspect of this application, a terminal device is provided, the terminal device comprising:

[0018] A processor; a transceiver connected to the processor; a memory for storing executable instructions of the processor; wherein the processor is configured to load and execute the executable instructions to implement a parameter determination method.

[0019] According to one aspect of this application, a network device is provided, the network device comprising:

[0020] A processor; a transceiver connected to the processor; a memory for storing executable instructions of the processor; wherein the processor is configured to load and execute the executable instructions to implement a parameter determination method.

[0021] According to one aspect of this application, a computer-readable storage medium is provided, wherein at least one program is stored in the computer-readable storage medium, the at least one program being loaded and executed by a processor to implement a parameter determination method.

[0022] According to one aspect of this application, a chip is provided, the chip including programmable logic circuitry and / or program instructions, which, when the chip is running on a first node, are used to implement the above-described parameter determination method.

[0023] According to one aspect of this application, a computer program product is provided, the computer program product being stored in a computer-readable storage medium, a processor retrieving the computer program from the computer-readable storage medium, and the processor executing the computer program product to implement a parameter determination method.

[0024] The technical solutions provided in this application have at least the following beneficial effects:

[0025] Different compressed sensing parameters are associated with the first and second distance ranges. The first compressed sensing parameter associated with the first distance range is determined. On one hand, applying compressed sensing theory to communication systems helps improve the acquisition of effective signal information at frequencies far below the Nyquist sampling frequency, thus increasing sampling efficiency. Furthermore, the lower sampling frequency allows devices with limited hardware capabilities (especially sampling or analog-to-digital conversion capabilities) to receive and reconstruct signals, reducing hardware costs and signal transmission complexity. On the other hand, associating different compressed sensing parameters with different distance ranges is beneficial because the propagation characteristics of electromagnetic waves (or energy) may differ across these ranges. Therefore, using different compressed sensing parameters for different distance ranges helps adapt compressed sensing theory to different distance ranges (or transmission environments), thereby enabling compressed sensing for different distance ranges. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 shows a schematic diagram of a wireless communication system provided by some illustrative embodiments of this application;

[0028] Figure 2 shows a schematic diagram of electromagnetic waves in the near-field and far-field regions in related technologies;

[0029] Figure 3 shows a flowchart of a parameter determination method provided in an exemplary embodiment of this application;

[0030] Figure 4 shows a schematic diagram of a parameter determination method provided in an exemplary embodiment of this application;

[0031] Figure 5 shows a schematic diagram of a parameter determination method provided in an exemplary embodiment of this application;

[0032] Figure 6 shows a flowchart of a parameter determination method provided in an exemplary embodiment of this application;

[0033] Figure 7 shows an overall flowchart of a parameter determination method provided in an exemplary embodiment of this application;

[0034] Figure 8 shows an overall flowchart of a parameter determination method provided in an exemplary embodiment of this application;

[0035] Figure 9 shows an overall flowchart of a parameter determination method provided in an exemplary embodiment of this application;

[0036] Figure 10 shows an overall flowchart of a parameter determination method provided in an exemplary embodiment of this application;

[0037] Figure 11 shows a structural block diagram of a parameter determination apparatus provided in an exemplary embodiment of this application;

[0038] Figure 12 shows a structural block diagram of a parameter determination apparatus provided in an exemplary embodiment of this application;

[0039] Figure 13 shows a schematic diagram of the structure of a terminal device provided in an exemplary embodiment of this application;

[0040] Figure 14 shows a schematic diagram of the structure of a network device provided in an exemplary embodiment of this application. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be further described in detail below with reference to the accompanying drawings. Exemplary embodiments will be described in detail here, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0042] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0043] It should be understood that although the terms first, second, third, etc., may be used in this application to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein can be interpreted as "when," "when," or "in response to determination." In this specification, when expressing the meaning of Boolean values, '0' is expressed as 'first meaning' and '1' as 'second meaning'. Without loss of generality, those skilled in the art will understand that the meanings they represent can be interchanged, i.e., '1' represents 'first meaning' and '0' represents 'second meaning'.

[0044] Figure 1 shows a schematic diagram of a mobile communication system provided in an exemplary embodiment of this application. The mobile communication system includes a network device 110 and a terminal device 120, and may or may not include a terminal device 130; this application does not limit this.

[0045] The network device 110 in this application provides wireless communication functionality. This network device 110 includes, but is not limited to: an evolved Node B (eNB), a Radio Network Controller (RNC), a Node B (NB), a Base Station Controller (BSC), a Base Transceiver Station (BTS), a Home Evolved Node B (or Home Node B, HNB), a Base Band Unit (BBU), an Access Point (AP) in a Wireless Fidelity (Wi-Fi) system, a wireless relay node, a wireless backhaul node, a Transmission Point (TP), or a Transmission and Reception Point (TRP), etc. It can also be used for next-generation Node B (Next Generation Node) systems in 5G mobile communication systems. B, gNB) or transmission point (TRP or TP), or, in a 5G system, one or a group of antenna panels (including multiple antenna panels) of a base station, or, network nodes constituting a gNB or transmission point, such as baseband unit (BBU) or distributed unit (DU), or base stations in Beyond Fifth Generation (B5G) or 6th Generation (6G) mobile communication systems, or core network (CN), fronthaul, backhaul, radio access network (RAN), network slicing, etc., or serving cell, primary cell (PCell), primary secondary cell (PSCell), special cell (SpCell), secondary cell (SCell), neighboring cell, etc. of terminal equipment.

[0046] The terminal equipment 120 in this application is also referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication equipment, user agent, or user device. This terminal includes, but is not limited to: handheld devices, wearable devices, in-vehicle devices, and IoT devices, such as: mobile phones, tablets, e-readers, laptops, desktop computers, televisions, game consoles, mobile internet devices (MID), augmented reality (AR) terminals, virtual reality (VR) terminals, mixed reality (MR) terminals, extended reality (XR) terminals, baffle reality (BR) terminals, cinematic reality (CR) terminals, deceive reality (DR) terminals, wearable devices, controllers, wireless terminals in industrial control, wireless terminals in self-driving, wireless terminals in remote medical care, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, and wireless terminals in smart homes. Remote medical surgery includes wireless terminals, cellular phones, cordless phones, Session Initiation Protocol (SIP) phones, Wireless Local Loop (WLL) stations, Personal Digital Assistants (PDAs), Set-Top Boxes (STBs), and Customer Premise Equipment (CPEs).

[0047] In some embodiments, network device 110 and terminal device 120 communicate with each other through some air interface technology, such as the Uu interface.

[0048] For example, there are two communication scenarios between network device 110 and terminal device 120: uplink communication scenario and downlink communication scenario. Uplink communication, or uplink transmission, refers to sending signals or data to network device 110; downlink communication, or downlink transmission, refers to sending signals or data to terminal device 120.

[0049] In some embodiments, terminal device 120 and terminal device 130 communicate with each other through some air interface technology, such as the PC5 interface.

[0050] For example, there are two communication scenarios between terminal device 120 and terminal device 130: a first side-by-side communication scenario and a second side-by-side communication scenario. The first side-by-side communication refers to terminal device 120 sending signals to terminal device 130; the second side-by-side communication refers to terminal device 130 sending signals to terminal device 120.

[0051] In some embodiments, terminal device 120 and terminal device 130 are both within network coverage and located in the same cell, or terminal device 120 and terminal device 130 are both within network coverage but located in different cells, or terminal device 120 is within network coverage but terminal device 130 is outside network coverage.

[0052] In some embodiments of this application, "NR" may also be referred to as a 5G NR system or a 5G system. The 5G mobile communication system may include non-standalone (NSA) and / or standalone (SA) networking.

[0053] The technical solutions provided in the embodiments of this application can also be applied to Machine-Type Communication (MTC), Long Term Evolution-Machine (LTE-M) technology, Device-to-Device (D2D) networks, Machine-to-Machine (M2M) networks, Internet of Things (IoT) networks, or other networks. Among them, IoT networks may include, for example, vehicle-to-everything (V2X) networks. The communication methods in V2X systems are collectively referred to as Vehicle to X (V2X), where X can represent anything. For example, V2X may include: Vehicle to Vehicle (V2V) communication, Vehicle to Infrastructure (V2I) communication, Vehicle to Pedestrian (V2P) communication, or Vehicle to Network (V2N) communication, etc.

[0054] The mobile communication system provided in this application embodiment can be applied to at least one of the following communication scenarios: uplink communication scenario, downlink communication scenario, and sidelink communication scenario.

[0055] The following is a description of the relevant terms used in the embodiments of this application.

[0056] Near-field communication:

[0057] Looking towards future 6G networks, larger antenna apertures and higher frequency bands (e.g., centimeter waves, millimeter waves, and terahertz) will be adopted, making near-field characteristics more pronounced. Furthermore, the introduction of emerging technologies such as reconfigurable intelligent surfaces (RIS), massive MIMO (Multiple-Input Multiple-Output), movable antennas, and cell-free networks (CF) will make near-field scenarios more prevalent in future wireless networks. In near-field communication scenarios, due to changes in electromagnetic wave propagation characteristics, they can no longer be simply approximated as plane waves but must be considered as spherical waves. From the perspective of space resource utilization, although traditional wireless communication systems have achieved significant success in the exploration and utilization of far-field space resources, further exploration and application of near-field space resources are expected to bring new physical space dimensions to wireless communication systems.

[0058] The following method can be used to divide the near-field and far-field regions:

[0059] For range The far-field region (also known simply as the far field) is where the wavefront approximates a plane wave. The far-field region can also be called the radiation far-field region, the Fraunhofer region, the Fraunhofer region, etc.

[0060] For range This is the near-field region (also simply called the near field), where the wavefront is a spherical wave. The near-field region can also be called the radiation near-field region, the Fresnel region, etc.

[0061] Where r is the distance, usually referring to the distance between network devices and terminal devices; D is the antenna aperture; and λ is the wavelength.

[0062] In some embodiments, the near-field region and far-field region described above can be collectively referred to as the radiation field region. Energy propagates outward in the form of electromagnetic waves within the radiation field region.

[0063] Compressed Sensing (CS) Theory:

[0064] The Nyquist sampling theorem in communication principles or signal and system programming states that for a sampled digital signal to completely retain the information of the original signal, the sampling frequency must be greater than twice the highest frequency of the signal. This is because sampling in the time domain at intervals of τ results in periodic extension in the frequency domain with a period of 1 / τ. Therefore, if the sampling frequency is less than twice the highest frequency of the signal, aliasing will occur after the signal undergoes frequency domain spectral shift.

[0065] Compressed sensing theory posits that if a signal is sparse, it can be reconstructed from a number of sampling points far fewer than required by the sampling theorem. Compressed sensing is widely used in signal and image processing. It refers to the ability of a signal that is sparse in a transform domain to project the high-dimensional signal (the sparse signal obtained after projection onto the transform domain) onto a low-dimensional space using a measurement matrix independent of the transform basis. Then, by solving an optimization problem, the original signal can be reconstructed with high probability from these few projections. Compared to the sampling-then-compression approach used in image compression, compressed sensing is a process of simultaneous sampling and compression; or, in other words, compressed sensing is a compressed sampling process, where data compression is performed during the sampling process.

[0066] Compressed sensing relies on two prerequisites: sparsity and uncorrelation. Sparsity refers to a signal having only a few non-zero values ​​in a given domain. This domain is considered sparse and is called the sparse domain of the signal. Uncorrelation means that the measurement matrix is ​​uncorrelated with the sparse basis (or transform basis, sparse transform basis, sparse representation basis, sparse transform matrix, etc.). Only when the measurement matrix is ​​uncorrelated with the sparse basis can the sparse representation of the signal (i.e., the sparse signal) be guaranteed not to be destroyed during measurement, thus enabling accurate reconstruction of the original signal from a small number of measured values.

[0067] Traditional wireless communication relies heavily on far-field channel models. However, when the antenna array becomes large, the signal propagation characteristics change significantly, and far-field models can no longer accurately describe the channel environment.

[0068] Near-field effects of massive MIMO antenna arrays: The introduction of massive MIMO antenna arrays not only improves system capacity and coverage, but also significantly shortens the near-field region. In the near-field scenario, due to the change in electromagnetic wave propagation characteristics, unlike the far-field, they can no longer be simply approximated as plane waves, but must be regarded as spherical waves, as shown in Figure 2.

[0069] On the other hand, the biggest problem encountered by large-scale antenna array communication systems in practical applications is the reference signal overhead. According to the reference signal design principles in related technologies, each antenna port needs to transmit a dedicated reference signal to allow the terminal device to obtain the channel state information of the corresponding antenna port. As the number of antenna ports increases, the reference signal overhead grows linearly. Depending on the number of antenna ports configured for the reference signal, the reference signal may occupy all subcarriers in one or more time slots, and even more and more system resources may be consumed by the transmission of the reference signal, leading to a reduction in available system resources and consequently a decrease in overall system performance.

[0070] Furthermore, there are certain differences in compressed sensing parameters, codebook parameters, and beam parameters between near-field and far-field communication scenarios. How to achieve reasonable application of near-field and far-field scenarios is an issue that needs to be addressed.

[0071] Figure 3 illustrates a flowchart of a parameter determination method provided in an exemplary embodiment of this application. The method is executed by a terminal device, which may be the terminal device shown in Figure 1. The method includes:

[0072] Step 210: Determine whether the compressed sensing parameter is a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range.

[0073] The first distance range is smaller than the second distance range, and the second distance range is associated with the second compressed sensing parameter.

[0074] In some embodiments, the first distance range and the second distance range are distance ranges for communication divided according to different electromagnetic wave propagation characteristics. In other words, the electromagnetic wave exhibits different electromagnetic wave propagation characteristics in the first distance range and the second distance range. For example, when the electromagnetic wave propagates in the first distance range, it is regarded as a spherical wave; when the electromagnetic wave propagates in the second distance range, it can be approximated as a plane wave.

[0075] In some embodiments, the first distance range and the second distance range are defined based on the distance to the network device (or the antenna of the network device). For example, as shown in FIG4, for the network device 10, the area with a distance less than or equal to r1 belongs to the first distance range 11, and the area with a distance greater than r1 belongs to the second distance range 12; intuitively, the interior of the circular region 13 (including the boundary of the circular region 13) belongs to the first distance range 11, the exterior of the circular region 13 belongs to the second distance range 12, and the radius R of the circular region 13 is equal to r1. It should be noted that the above division of the first and second distance ranges based on the distance to the network device is only for illustration. In actual division, the boundary between the first and second distance ranges can be ignored, that is, the circular area 13 belongs to neither the first nor the second distance range. In addition, the first and second distance ranges may not be adjacent. As shown in Figure 5, the interior of the circular area 13 (including the boundary of the circular area 13) belongs to the first distance range 11, the radius R of the circular area 13 is equal to r1, and the exterior of the circular area 14 (which may include the boundary of the circular area 14) belongs to the second distance range 12. That is, there is also a transition area between the first and second distance ranges. This transition area can be divided into a distance range (such as the third distance range), or it can be considered to belong to the first or second distance range, or neither, depending on the actual communication scenario.

[0076] Optionally, the "first distance range" and "second distance range" described in the embodiments of this application do not refer to dividing the communication range into two parts: a first distance range and a second distance range. Rather, they refer to the division of the communication range including both the first and second distance ranges, with the first distance range being smaller than the second communication distance range. In actual communication scenarios, the communication range can be divided into multiple distance ranges based on electromagnetic wave characteristics, communication requirements, etc., and the embodiments of this application do not limit this division.

[0077] In some embodiments, "the first distance range is less than the second distance range" can be understood as the value of each distance in the first distance range being less than the value of each distance in the second distance range; it can also be understood as the maximum distance in the first distance range being less than the minimum distance in the second distance range; it can also be understood as the distance between any point satisfying the first distance range and the network device being less than any point satisfying the second distance range; or it can be understood as, when the first endpoint is the left endpoint of the first distance range, the second endpoint is the right endpoint of the first distance range, the third endpoint is the left endpoint of the second distance range, and the fourth endpoint is the right endpoint of the second distance range, at least one of the following is satisfied: the first endpoint is less than the third endpoint, the first endpoint is less than the fourth endpoint, the second endpoint is less than the third endpoint, and the second endpoint is less than the fourth endpoint; it can also be understood as, when the second endpoint is the right endpoint of the first distance range and the third endpoint is the left endpoint of the second distance range, the second endpoint is less than the third endpoint, wherein the second distance range may not have a right endpoint (i.e., the second distance range is from the third endpoint to infinity). Optionally, the first distance range can take values ​​up to the first endpoint; and / or, the first distance range can take values ​​up to the second endpoint; and / or, the second distance range can take values ​​up to the third endpoint; and / or, the second distance range can take values ​​up to the fourth endpoint. That is, the first distance range and / or the second distance range can be a closed interval, i.e., [·, ·]; or an open interval, i.e., (·, ·); or a half-open interval, i.e., [·, ·) or (·, ·). For example, the first distance range is [a1, a2], and the second distance range is [a3, a4], where a1 is the minimum distance in the first distance range, a2 is the maximum distance in the first distance range, a3 is the minimum distance in the second distance range, and a4 is the maximum distance in the second distance range; the first distance range is less than the second distance range, i.e., a2 < a3. It should be noted that in the above examples, the first distance range is less than the second distance range. The two distance ranges are used for explanation, but this application does not limit the case of "equal to," meaning that the first distance range can also be less than or equal to the second distance range. Furthermore, when representing the first and second distance ranges mathematically, they are represented as closed intervals [·, ·]. In the examples based on Figures 4 and 5, this means that the first and second distance ranges include the boundary of the circular region. However, they can also be represented as open intervals (·, ·). In the examples based on Figures 4 and 5, this means that the first and second distance ranges do not include the boundary of the circular region. This application does not limit this aspect.

[0078] In some embodiments, a first distance range is associated with a first compressed sensing parameter, and a second distance range is associated with a second compressed sensing parameter. The values ​​of the first and second compressed sensing parameters are different. In other words, the first and second distance ranges are associated with different compressed sensing parameters, or different distance ranges are associated with different compressed sensing parameters.

[0079] In some embodiments, the first distance range being associated with a first compressed sensing parameter means that the first compressed sensing parameter needs to be used when the first distance range is satisfied. This can be understood as the first distance range corresponding to a first compressed sensing parameter, or as the first distance range being bound to a first compressed sensing parameter.

[0080] In some embodiments, the second distance range being associated with the second compressed sensing parameter means that the second compressed sensing parameter needs to be used when the second distance range is satisfied. This can be understood as the second distance range corresponding to the second compressed sensing parameter, or as the second distance range being bound to the second compressed sensing parameter.

[0081] In some embodiments, compressed sensing parameters are used to implement compressed sensing of signals, or compressed sensing parameters are used to implement compressed sensing of reference signals, or compressed sensing parameters are used to implement compressed sensing of information, or compressed sensing parameters are used to perform compressed sensing on signals, or compressed sensing parameters are used to perform compressed sensing on reference signals, or compressed sensing parameters are used to perform compressed sensing on information, or compressed sensing parameters are used to restore the compressed signal to the original signal, or compressed sensing parameters are used to restore the compressed reference signal to the original reference signal, or compressed sensing parameters are used to restore the compressed information to the original information.

[0082] In summary, the method provided in this application, which uses different compressed sensing parameters associated with a first distance range and a second distance range, determines the first compressed sensing parameter associated with the first distance range. On one hand, applying compressed sensing theory to communication systems helps improve the acquisition of effective signal information at frequencies far below the Nyquist sampling frequency, thus increasing sampling efficiency. Furthermore, the lower sampling frequency allows devices with limited hardware capabilities (especially sampling or analog-to-digital conversion capabilities) to receive and reconstruct signals, reducing hardware costs and signal transmission complexity. On the other hand, associating different compressed sensing parameters with different distance ranges is beneficial because the propagation characteristics of electromagnetic waves (or energy) may differ across distance ranges. Therefore, using different compressed sensing parameters for different distance ranges helps adapt compressed sensing theory to different distance ranges (or transmission environments), thereby achieving compressed sensing for different distance ranges.

[0083] Figure 6 illustrates a flowchart of a parameter determination method provided in an exemplary embodiment of this application. The method is performed by a network device, which may be the network device shown in Figure 1. The method includes:

[0084] Step 310: Determine whether the compressed sensing parameter is a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range.

[0085] The first distance range is smaller than the second distance range, and the second distance range is associated with the second compressed sensing parameter.

[0086] In some embodiments, the first distance range and the second distance range are distance ranges for communication divided according to different electromagnetic wave propagation characteristics. In other words, the electromagnetic wave exhibits different electromagnetic wave propagation characteristics in the first distance range and the second distance range. For example, when the electromagnetic wave propagates in the first distance range, it is regarded as a spherical wave; when the electromagnetic wave propagates in the second distance range, it can be approximated as a plane wave.

[0087] In some embodiments, the first distance range and the second distance range are defined based on the distance to the network device (or the antenna of the network device). For example, as shown in FIG4, for the network device 10, the area with a distance less than or equal to r1 belongs to the first distance range 11, and the area with a distance greater than r1 belongs to the second distance range 12; intuitively, the interior of the circular region 13 (including the boundary of the circular region 13) belongs to the first distance range 11, the exterior of the circular region 13 belongs to the second distance range 12, and the radius R of the circular region 13 is equal to r1. It should be noted that the above division of the first and second distance ranges based on the distance to the network device is only for illustration. In actual division, the boundary between the first and second distance ranges can be ignored, that is, the circular area 13 belongs to neither the first nor the second distance range. In addition, the first and second distance ranges may not be adjacent. As shown in Figure 5, the interior of the circular area 13 (including the boundary of the circular area 13) belongs to the first distance range 11, the radius R of the circular area 13 is equal to r1, and the exterior of the circular area 14 (which may include the boundary of the circular area 14) belongs to the second distance range 12. That is, there is also a transition area between the first and second distance ranges. This transition area can be divided into a distance range (such as the third distance range), or it can be considered to belong to the first or second distance range, or neither, depending on the actual communication scenario.

[0088] Optionally, the "first distance range" and "second distance range" described in the embodiments of this application do not refer to dividing the communication range into two parts: a first distance range and a second distance range. Rather, they refer to the division of the communication range including both the first and second distance ranges, with the first distance range being smaller than the second communication distance range. In actual communication scenarios, the communication range can be divided into multiple distance ranges based on electromagnetic wave characteristics, communication requirements, etc., and the embodiments of this application do not limit this division.

[0089] In some embodiments, "the first distance range is less than the second distance range" can be understood as follows: the value of each distance in the first distance range is less than the value of each distance in the second distance range; the maximum distance in the first distance range is less than the minimum distance in the second distance range; or the distance between any point satisfying the first distance range and the network device is less than any point satisfying the second distance range. For example, the first distance range is [a1, a2], and the second distance range is [a3, a4], where a1 is the minimum distance in the first distance range, a2 is the maximum distance in the first distance range, a3 is the minimum distance in the second distance range, and a4 is the maximum distance in the second distance range; the first distance range is less than the second distance range, i.e., a2 < a3. It should be noted that the above examples all use the condition that the first distance range is less than the second distance range for illustration, but this application embodiment does not limit the case of "equal to," meaning that a scheme where the first distance range is less than or equal to the second distance range can also be used. Furthermore, when representing the first and second distance ranges mathematically, they are expressed as closed intervals [·, ·]. In the examples based on Figures 4 and 5, this means that the first and second distance ranges include the boundary of the circular region. However, they can also be represented as open intervals (·, ·). In the examples based on Figures 4 and 5, this means that the first and second distance ranges do not include the boundary of the circular region. This application does not limit this aspect.

[0090] In some embodiments, a first distance range is associated with a first compressed sensing parameter, and a second distance range is associated with a second compressed sensing parameter. The values ​​of the first and second compressed sensing parameters are different. In other words, the first and second distance ranges are associated with different compressed sensing parameters, or different distance ranges are associated with different compressed sensing parameters.

[0091] In some embodiments, the first distance range being associated with a first compressed sensing parameter means that the first compressed sensing parameter needs to be used when the first distance range is satisfied. This can be understood as the first distance range corresponding to a first compressed sensing parameter, or as the first distance range being bound to a first compressed sensing parameter.

[0092] In some embodiments, the second distance range being associated with the second compressed sensing parameter means that the second compressed sensing parameter needs to be used when the second distance range is satisfied. This can be understood as the second distance range corresponding to the second compressed sensing parameter, or as the second distance range being bound to the second compressed sensing parameter.

[0093] In some embodiments, compressed sensing parameters are used to implement compressed sensing of signals, or compressed sensing parameters are used to implement compressed sensing of reference signals, or compressed sensing parameters are used to implement compressed sensing of information, or compressed sensing parameters are used to perform compressed sensing on signals, or compressed sensing parameters are used to perform compressed sensing on reference signals, or compressed sensing parameters are used to perform compressed sensing on information, or compressed sensing parameters are used to restore the compressed signal to the original signal, or compressed sensing parameters are used to restore the compressed reference signal to the original reference signal, or compressed sensing parameters are used to restore the compressed information to the original information.

[0094] In summary, the method provided in this application, which uses different compressed sensing parameters associated with a first distance range and a second distance range, determines the first compressed sensing parameter associated with the first distance range. On one hand, applying compressed sensing theory to communication systems helps improve the acquisition of effective signal information at frequencies far below the Nyquist sampling frequency, thus increasing sampling efficiency. Furthermore, the lower sampling frequency allows devices with limited hardware capabilities (especially sampling or analog-to-digital conversion capabilities) to receive and reconstruct signals, reducing hardware costs and signal transmission complexity. On the other hand, associating different compressed sensing parameters with different distance ranges is beneficial because the propagation characteristics of electromagnetic waves (or energy) may differ across distance ranges. Therefore, using different compressed sensing parameters for different distance ranges helps adapt compressed sensing theory to different distance ranges (or transmission environments), thereby achieving compressed sensing for different distance ranges.

[0095] Next, we will provide further details on compressed sensing parameters.

[0096] In some embodiments, compressed sensing parameters include at least one of the following: a measurement matrix; a sparse transformation matrix.

[0097] In some embodiments, the measurement matrix, also referred to as the observation matrix, is used to project a high-dimensional signal onto a low-dimensional space; or, the measurement matrix is ​​used to capture important information of a signal with fewer measurements; or, the measurement matrix is ​​used to capture information of multiple antenna ports using information from a subset of antenna ports; or, the measurement matrix is ​​used to reconstruct information of multiple antenna ports from information from a subset of antenna ports; or, the measurement matrix is ​​used to reconstruct information of multiple channel information from a subset of channel information; or, the measurement matrix is ​​used to reconstruct information of multiple beam measurements from multiple beam measurements; or, the measurement matrix is ​​used to recover information of multiple antenna ports from information from a subset of antenna ports; or, the measurement matrix is ​​used to recover information of multiple antenna ports from information from a subset of channel information. The measurement matrix is ​​used to recover multiple channel information from multiple beam measurement information; or, the measurement matrix is ​​used to recover full channel information from partial channel information in full channel information; or, the measurement matrix is ​​used to recover full beam measurement information from partial beam measurement information in full beam measurement information; or, the measurement matrix is ​​used to recover all antenna port information from partial antenna port information in all antenna ports of the network device; or, the measurement matrix is ​​used to recover all antenna port information from channel information corresponding to partial antenna ports; or, the measurement matrix is ​​used to recover all antenna port beam measurement information from beam measurement information corresponding to partial antenna ports.

[0098] In some embodiments, the sparse transform matrix is ​​used to transform the original signal into a sparse signal; or, the sparse transform matrix is ​​used to project the original signal into a sparse domain; or, the sparse transform matrix is ​​used to transform antenna port information into a sparse representation of antenna port information; or, the sparse transform matrix is ​​used to transform channel information into a sparse representation of channel information; or, the sparse transform matrix is ​​used to transform beam measurement information into a sparse representation of beam measurement information; or, the inverse of the sparse transform matrix is ​​used to transform the sparse signal into the original signal; or, the inverse of the sparse transform matrix is ​​used to recover the original signal from the sparse domain; or, the inverse of the sparse transform matrix is ​​used to transform the sparse representation of antenna port information into the original information of the antenna port; or, the inverse of the sparse transform matrix is ​​used to transform the sparse representation of channel information into channel information; or, the inverse of the sparse transform matrix is ​​used to transform the sparse representation of beam measurement information into beam measurement information.

[0099] In other words, it can be said that: sparse transformation matrices are used for the transformation between the original signal and the sparse signal; or, sparse transformation matrices are used for the transformation between antenna port information and the sparse representation of antenna port information; or, sparse transformation matrices are used for the transformation between channel information and the sparse representation of channel information; or, sparse transformation matrices are used for the transformation between beam measurement information and the sparse representation of beam measurement information.

[0100] In some embodiments, compressed sensing parameters are used to recover multiple channel information based on a portion of the channel information; and / or, compressed sensing parameters are used to recover multiple beam measurement information based on a portion of the beam measurement information.

[0101] In some embodiments, compressed sensing parameters support the measurement of partial channel information and the prediction and recovery of multiple channel information based on the measured partial channel information; and / or, compressed sensing parameters support the measurement of partial beam measurement information and the prediction and recovery of multiple beam measurement information based on the measured partial beam measurement information.

[0102] It should be noted that the aforementioned multiple channel information can also be referred to as channel information corresponding to multiple antenna ports, full channel information, channel information corresponding to all antenna ports, or other equivalent terms; multiple beam measurement information can also be referred to as channel information corresponding to multiple antenna ports, full beam measurement information, beam measurement information corresponding to all antenna ports, or other equivalent terms; partial channel information can be referred to as channel information corresponding to partial antenna ports, channel information corresponding to some antenna ports among multiple antenna ports, channel information corresponding to some antenna ports among all antenna ports, or other equivalent terms; partial beam measurement information can be referred to as beam measurement information corresponding to partial antenna ports, beam measurement information corresponding to some antenna ports among multiple antenna ports, beam measurement information corresponding to some antenna ports among all antenna ports, or other equivalent terms.

[0103] In summary, the method provided in this application illustrates the contents of compressed sensing parameters, including a measurement matrix used to assist in recovering multiple information from partial information and a sparse transformation matrix used to realize the transformation between the original information and the sparse representation. This ensures the successful implementation of the compressed sensing process and reduces the complexity of obtaining full-channel information and / or full-beam information based on reference signal measurements. Furthermore, the compressed sensing parameters support measuring partial channel information and / or partial beam measurement information to predict and recover multiple channel information and / or multiple beam measurement information, reducing the complexity of terminal devices measuring channel information and / or beam measurement information and improving the efficiency of channel estimation.

[0104] In some embodiments, some channel information and some beam measurement information need to be measured based on a reference signal, and therefore can be done in the following manner.

[0105] In an alternative embodiment based on Figure 3 and / or Figure 6, as shown in Figure 7, the method further includes steps 410 to 440.

[0106] Step 410: The network device sends a first reference signal to the terminal device.

[0107] In some embodiments, the network device sends a first reference signal; the terminal device receives the first reference signal.

[0108] The first reference signal is configured with m antenna ports of the network device. The m antenna ports are a subset of the n antenna ports of the network device. Both m and n are positive integers, and m is less than n.

[0109] In some embodiments, the first reference signal is configured with m antenna ports of the network device. This can be understood as the first reference signal being transmitted through the m antenna ports of the network device, or as the first reference signal being configured with m antenna ports, or as the first reference signal being a dedicated reference signal transmitted by the m antenna ports of the network device, or as the first reference signal being configured with the m antenna ports of the network device, or as the first reference signal being a reference signal mapped onto the m antenna ports for transmission.

[0110] In some embodiments, the n antenna ports of the network device represent the maximum number of configurable antenna ports of the network device. Alternatively, the n antenna ports of the network device represent the maximum number of antenna ports supported by the network device; or n can be described as the maximum number of antenna ports supported by the network device.

[0111] That is, the first reference signal is not transmitted through all the antenna ports of the network device, but only through a portion of the antenna ports. In other words, the first reference signal is used for channel estimation of a portion of the network device's antenna ports, or for channel detection of a portion of the network device's antenna ports. Alternatively, it can be said that the first reference signal is used to measure the channel information of a portion of the network device's antenna ports, or for beam measurement information of a portion of the network device's antenna ports.

[0112] Step 420: The terminal device determines first channel information based on at least one of the first reference signal and the first compressed sensing parameters, and / or determines first beam measurement information based on at least one of the first reference signal and the first compressed sensing parameters.

[0113] That is, the first reference signal is used by the terminal device to determine the first channel information and / or the first beam measurement information.

[0114] In some embodiments, the terminal device determines first channel information based on at least one of a first reference signal and a first compressed sensing parameter determined by the terminal device, and / or determines first beam measurement information based on at least one of the first reference signal and the first compressed sensing parameter determined by the terminal device.

[0115] In some embodiments, the terminal device determines the first channel information based on at least one of a first reference signal and a first compressed sensing parameter, including at least one of the following: measuring compressed channel information based on the first reference signal; determining a sparse representation of the full channel information based on a measurement matrix and the first reference signal; and determining the full channel information based on a measurement matrix, a sparse transformation matrix, and the first reference signal.

[0116] That is, the first channel information can be any of the following: compressed channel information; sparse representation of full channel information (or sparse channel information, full channel information in the sparse domain, etc.); full channel information.

[0117] Alternatively, the first channel information can be any of the following: compressed channel information obtained based on the measurement of the first reference signal; a sparse representation of the full channel information determined based on the measurement matrix and the first reference signal; or full channel information determined based on the measurement matrix, the sparse transformation matrix, and the first reference signal.

[0118] In some embodiments, the terminal device determines a sparse representation of the full channel information based on a measurement matrix and a first reference signal, including at least one of the following: measuring compressed channel information based on the first reference signal; and determining a sparse representation of the full channel information based on the measurement matrix and the compressed channel information.

[0119] In some embodiments, the terminal device determines full-channel information based on a measurement matrix, a sparse transformation matrix, and a first reference signal, including at least one of the following: measuring compressed channel information based on the first reference signal; determining a sparse representation of the full-channel information based on the measurement matrix and the compressed channel information; determining full-channel information based on the sparse representation of the full-channel information and the sparse transformation matrix; and determining full-channel information based on the measurement matrix, the compressed channel matrix, and the sparse transformation matrix.

[0120] Here, compressed channel information refers to the channel information of a portion of the antenna ports measured by the terminal device based on the first reference signal, or, compressed channel information refers to the partial channel information measured by the terminal device based on the first reference signal, or, compressed channel information refers to the channel information corresponding to a portion of the antenna ports of the network device, or, compressed channel information refers to the channel information corresponding to m antenna ports of the network device. In some embodiments, compressed channel information may be referred to as the observation value (simply referred to as the observation value), observation vector, or other equivalent names during the compressed sensing process.

[0121] The sparse representation of full-channel information refers to the representation of full-channel information in a sparse domain. The sparse representation of full-channel information is usually a vector.

[0122] Here, full channel information refers to the channel information corresponding to the n antenna ports of the network device, or, full channel information refers to the channel information corresponding to all antenna ports of the network device.

[0123] In some embodiments, channel information may also be referred to by other equivalent names such as channel state information, channel state, channel matrix, channel statistics, and channel statistical characteristics.

[0124] In some embodiments, the terminal device determines first beam measurement information based on at least one of a first reference signal and a first compressed sensing parameter, including at least one of the following: measuring compressed beam measurement information based on the first reference signal; determining a sparse representation of full beam measurement information based on a measurement matrix and the first reference signal; and determining full channel information based on the measurement matrix, the sparse transform matrix, and the first beam measurement signal.

[0125] That is, the first beam measurement information can be any of the following: compressed beam measurement information; sparse representation of full beam measurement information (or sparse beam measurement information, full beam measurement information in the sparse domain, etc.); full beam measurement information.

[0126] Alternatively, the first beam measurement information can be any of the following: compressed beam measurement information obtained based on the first reference signal; sparse representation of the full beam measurement information determined based on the measurement matrix and the first reference signal; or full beam measurement information determined based on the measurement matrix, the sparse transform matrix, and the first reference signal.

[0127] In some embodiments, the terminal device determines a sparse representation of the full-beam measurement information based on the measurement matrix and the first reference signal, including at least one of the following: obtaining compressed beam measurement information based on the first reference signal; and determining a sparse representation of the full-beam measurement information based on the measurement matrix and the compressed beam measurement information.

[0128] In some embodiments, the terminal device determines full-channel information based on a measurement matrix, a sparse transform matrix, and a first reference signal, including at least one of the following: obtaining compressed beam measurement information based on the first reference signal; determining a sparse representation of the full-beam measurement information based on the measurement matrix and the compressed beam measurement information; determining the full-beam measurement information based on the sparse representation of the full-beam measurement information and the sparse transform matrix; and determining the full-beam measurement information based on the measurement matrix, the compressed beam measurement information, and the sparse transform matrix.

[0129] Wherein, compressed beam measurement information refers to the beam measurement information of a portion of the antenna ports measured by the terminal device based on the first reference signal, or, compressed beam measurement information refers to the partial beam measurement information measured by the terminal device based on the first reference signal, or, compressed beam measurement information refers to the beam measurement information corresponding to a portion of the antenna ports of the network device, or, compressed beam measurement information refers to the beam measurement information corresponding to m antenna ports of the network device. In some embodiments, compressed beam measurement information may be referred to as the observation value (simply referred to as the observation value), observation vector, or other equivalent names during the compressed sensing process.

[0130] The sparse representation of full-beam measurement information refers to the form in which the full-beam measurement information is represented in a sparse domain. The sparse representation of full-beam measurement information is usually a vector.

[0131] Among them, full beam measurement information refers to the beam measurement information corresponding to the n antenna ports of the network device, or full beam measurement information refers to the beam measurement information corresponding to all antenna ports of the network device.

[0132] For example, the following describes the process of determining the first channel information, using a network device configured with m antenna ports as the first reference signal. These m antenna ports represent a subset of the network device's maximum configurable n antenna ports, where n and m are both positive integers, and m < n. The compressed channel information is denoted as y, the measurement matrix as φ, the full channel information as h, the sparse representation of the full channel information as h′, and the sparse transformation matrix as A. According to compressed sensing theory, the above parameters satisfy the following formula.

[0133] y=φh′=φhA, or, y=φh′+z=φhA+z

[0134] h′=hA

[0135] Here, z represents noise, which is an optional influencing factor; h′ has an n×1 dimension; h also has an n×1 dimension; A has an n×n dimension; φ has an m×n dimension; and y has an m×1 dimension. That is, compressed channel information can be understood as channel information obtained based on measurements from m antenna ports.

[0136] For example, the above-described sparse representation of the full channel information is determined based on the measurement matrix and compressed channel information, that is, h′ is calculated given y and φ according to y = φh′. The above-described determination of the full channel information based on the sparse representation and sparse transformation matrix is ​​also described, that is, h′ is calculated given h′ and A according to h′ = hA.

[0137] The calculation of h′ (or h) is essentially a process of solving an optimization problem. This is because the number of samples in compressed sensing is much smaller than the signal length, causing the equations related to compressed sensing to become underdetermined. In this case, the signal reconstruction problem is underdetermined, typically with infinitely many solutions. Therefore, additional constraints need to be introduced to find a unique solution. An underdetermined system is one in which the number of equations is less than the number of unknowns.

[0138] Sparsity is a prerequisite for compressed sensing; therefore, when introducing additional constraints, sparsity can be used to introduce sparsity constraints. These sparsity constraints can be expressed in different norm forms, such as the L0 norm (representing the number of non-zero elements in the sparse signal) and the L1 norm (representing the sum of the absolute values ​​of all elements in the sparse signal).

[0139] In the reconstruction process of compressed sensing, minimizing the L0 norm or minimizing the L1 norm can be used to solve the problem. Since directly minimizing the L0 norm is an NP-hard problem (Nondeterministic Polynomial time Hard), its convex relaxation form, minimizing the L1 norm, is usually used. Convex relaxation is an optimization technique used to solve problems that are originally non-convex or combinatorial optimization problems. By transforming a non-convex problem into a more tractable convex optimization problem, the solution process is simplified to some extent.

[0140] It should be noted that using the convex relaxation form is only one way to solve NP-hard problems. In addition to this method, other methods such as greedy iterative algorithms, iterative threshold algorithms, and combinatorial / sublinear combination algorithms can also be used to solve the optimization problem. The embodiments of this application only use the convex relaxation form as an example to illustrate the entire reconstruction process, but do not limit it.

[0141] The transformed solution formula is shown below.

[0142] min‖h‖1s.ty=φhA=φh′,h′∈R n

[0143] Where, ||h||1 represents the L1 norm of h, st represents the subject to (i.e., the constraint condition), and h′∈R n This indicates that h is a real vector of dimension n.

[0144] This solution formula can be transformed into a linear programming problem:

[0145] mincT x stBx=b,x≥0

[0146] Among them, c T =[1,1,…,1] 1×2n , x∈R 2n Let x be a real vector of dimension 2n, B = [φ, -φ] or [φA, -φA], and b = y. If B = [φ, -φ], the final solution is h′; if B = [φA, -φA], the final solution is h. Using this formula, the optimal solution x0 of the linear programming problem can be obtained, and finally h or h′ can be calculated based on the optimal solution x0. Where h′ = x0(1, n) - x0(n+1, 2n), or h = x0(1, n) - x0(n+1, 2n). Here, x0(1, n) represents the first to nth elements of vector x0; x0(n+1, 2n) represents the (n+1)th to 2nth elements of vector x0.

[0147] In some embodiments, the above-described compressed sensing reconstruction process is illustrated by reconstructing full-channel information. The process of reconstructing full-beam measurement information can refer to the process of reconstructing full-channel information, and will not be repeated here. However, the protection scope of the embodiments of this application is not limited thereto.

[0148] In some embodiments, the terminal device determines second channel information based on at least one of a first reference signal and a second compressed sensing parameter, and / or determines second beam measurement information based on at least one of the first reference signal and the second compressed sensing parameter. The process by which the terminal device determines the second channel information and / or the second beam measurement information can be referred to step 420 above, and will not be repeated here.

[0149] Step 430: The terminal device sends the first channel information and / or the first beam measurement information to the network device.

[0150] In some embodiments, the terminal device sends first channel information and / or first beam measurement information; the network device receives the first channel information and the first beam measurement information.

[0151] In some embodiments, the network device receives first channel information and / or first beam measurement information sent by the terminal device.

[0152] In some embodiments, the terminal device sends second channel information and / or second beam measurement information to the network device; the network device receives the second channel information and / or second beam measurement information sent by the terminal device.

[0153] Step 440: The network device obtains full channel information based on the first compressed sensing parameters and the first channel information, and / or obtains full beam measurement information based on the first compressed sensing parameters and the first beam measurement information.

[0154] In some embodiments, the first channel information is compressed channel information. The network device determines a sparse representation of the full channel information based on the measurement matrix and the compressed channel information; or determines the full channel information based on the sparse representation of the full channel information and the sparse transformation matrix. Alternatively, the network device determines the full channel information based on the measurement matrix, the sparse transformation matrix, and the compressed channel information.

[0155] In some embodiments, the first beam measurement information is compressed beam measurement information. The network device determines a sparse representation of the full beam measurement information based on the measurement matrix and the compressed beam measurement information; and determines the full beam measurement information based on the sparse representation of the full beam measurement information and the sparse transform matrix. Alternatively, the network device determines the full beam measurement information based on the measurement matrix, the sparse transform matrix, and the compressed beam measurement information.

[0156] In some embodiments, the first channel information is a sparse representation of the full channel information. The network device determines the full channel information based on the sparse representation of the full channel information and the sparse transformation matrix.

[0157] In some embodiments, the first beam measurement information is a sparse representation of the full beam measurement information. The network device determines the full beam measurement information based on the sparse representation of the full beam information and the sparse transformation matrix.

[0158] It should be noted that the process by which the network device restores compressed channel information to full channel information, compressed beam measurement information to full beam measurement information, sparse representation of full channel information to full channel information, and sparse representation of full beam measurement information to full beam measurement information can be referred to the compressed sensing reconstruction process performed by the terminal device shown in step 420 above, and will not be repeated here.

[0159] In some embodiments, the first channel information is full-channel information, and the network device directly receives the full-channel information. In this case, the network device does not need to perform step 440.

[0160] In some embodiments, the first beam measurement information is full-beam measurement information, and the network device directly receives the full-beam measurement information. In this case, the network device does not need to perform step 440.

[0161] In some embodiments, the network device obtains full-channel information based on the second compressed sensing parameters and the second channel information, and / or obtains full-beam measurement information based on the second compressed sensing parameters and the second beam measurement information. The process by which the network device obtains full-channel information based on the second compressed sensing parameters and the second channel information, and / or obtains full-beam measurement information based on the second compressed sensing parameters and the second beam measurement information, can refer to step 440 above, and will not be repeated here.

[0162] In summary, the method provided in this application illustrates the process by which a terminal device measures and determines first channel information and / or first beam measurement information based on a first reference signal and first compressed sensing parameters. By measuring the channel information and / or beam measurement information of a portion of multiple antenna ports, without needing to measure the channel information and / or beam measurement information of multiple antenna ports, the reference signal avoids occupying too many subcarriers, ensuring the available resources of the communication system and thus guaranteeing the communication efficiency of the communication system.

[0163] Furthermore, the process by which a network device recovers full channel information and / or full beam measurement information based on first compressed sensing parameters and first channel information and / or first beam measurement information is illustrated. This ensures that even if channel information and / or beam measurement information are measured only through a subset of antenna ports, full channel information and / or full beam measurement information can still be recovered. This achieves channel estimation for multiple antenna ports while maintaining the available resources of the communication system, thus improving the efficiency of channel estimation.

[0164] The document also shows the specific contents of the first channel information and the first beam measurement information. That is, the terminal device can also support the partial compressed sensing recovery process, thereby enabling more rational use of terminal device resources, reducing the computational burden on network devices, and improving the efficiency of compressed sensing-based channel estimation.

[0165] In some embodiments, step 210 may be performed before or simultaneously with step 410, and step 210 may also be performed before or simultaneously with step 420. Similarly, step 310 may be performed before or simultaneously with step 410, and step 310 may also be performed before or simultaneously with step 420.

[0166] It should be noted that the embodiment corresponding to Figure 7 above is an overall embodiment combining the actions of the terminal device and the network device.

[0167] For a terminal device, in an optional embodiment based on Figure 3, the method further includes: receiving a first reference signal, the first reference signal being configured with m antenna ports of the network device, the m antenna ports being a subset of n antenna ports of the network device, where m and n are both positive integers, and m is less than n; and sending first channel information and / or first beam measurement information to the network device, the first channel information being determined based on at least one of a first compressed sensing parameter and the first reference signal, and the first beam measurement information being determined based on at least one of the first compressed sensing parameter and the first reference signal.

[0168] For network devices, in an optional embodiment based on Figure 6, the method further includes: sending a first reference signal, the first reference signal being used by the terminal device to determine first channel information and / or first beam measurement information, the first reference signal being configured with m antenna ports of the network device, the m antenna ports being a subset of n antenna ports of the network device, m and n being positive integers, m being less than n; and receiving the first channel information and / or first beam measurement information sent by the terminal device.

[0169] It should be noted that in the embodiments corresponding to Figure 7 above, one or more steps performed by the terminal device can be implemented as an embodiment performed by the terminal device alone; one or more steps performed by the network device can be implemented as an embodiment performed by the network device alone.

[0170] In some embodiments, both the terminal device and the network device can determine the full-channel information and / or full-beam measurement information based on the first compressed sensing parameters. Therefore, the terminal device and the network device can determine the steps they need to perform in determining the full-channel information and / or full-beam measurement information through negotiation, network device configuration, or protocol agreement. For example, the terminal device and the network device can negotiate in advance based on their respective capabilities. When the terminal device's capability is poor, the terminal device is responsible for measuring the first reference signal to obtain the compressed channel information and / or compressed beam measurement information, and the network device performs the recovery process (or reconstruction process) based on the first compressed sensing parameters and the compressed channel information and / or compressed beam measurement information. When the capabilities of the terminal device and the network device are relatively balanced, the recovery process can be performed by the terminal device, the network device, or both. For example, the terminal device measures compressed channel information and / or compressed beam measurement information based on a first reference signal; the terminal device determines a sparse representation of the full channel information based on the measurement matrix and compressed channel information, and / or determines a sparse representation of the full beam measurement information based on the measurement matrix and compressed beam measurement information; the network device determines the full channel information based on a sparse transform matrix and a sparse representation of the full channel information, and / or determines the full beam measurement information based on a sparse transform matrix and a sparse representation of the full beam measurement information. When the network device's capabilities are weaker, the terminal device is responsible for measuring the first reference signal to obtain compressed channel information and / or compressed beam measurement information, and for performing the recovery process based on the first compressed sensing parameters and the compressed channel information and / or compressed beam measurement information; the network device only receives the recovered full channel information and / or full beam measurement information.

[0171] Compressed sensing parameters depend on the positional relationship between the terminal device and the network device; that is, whether the distance between the terminal device and the network device falls within a first distance range, a second distance range, or another distance range. Therefore, the terminal device and / or network device need to determine the compressed sensing parameters based on the distance between them. Three methods for determining compressed sensing parameters are shown below.

[0172] Method 1: Determined based on the measurement results of the reference signal;

[0173] Method 2: Determined based on antenna array information;

[0174] Method 3: Determined based on the location information of the terminal device.

[0175] The following text will introduce the three determination methods in turn, but the order in which the three determination methods are introduced does not limit the advantages and disadvantages of these three determination methods.

[0176] Method 1: Determined based on the measurement results of the reference signal.

[0177] Figure 8 shows an overall flowchart of a parameter determination method provided in an exemplary embodiment of this application. The method includes:

[0178] Step 510: The network device sends a second reference signal to the terminal device.

[0179] In some embodiments, the network device sends a second reference signal; the terminal device receives the second reference signal.

[0180] The second reference signal is configured with x antenna ports of the network device. The x antenna ports are a portion of the n antenna ports of the network device. Both x and n are positive integers, and x is less than n.

[0181] In some embodiments, the second reference signal is configured with x antenna ports of the network device. This can be understood as the second reference signal being transmitted through x antenna ports of the network device, or as the second reference signal being configured with x antenna ports, or as the second reference signal being a dedicated reference signal transmitted by x antenna ports of the network device, or as the network device having x antenna ports configured with the second reference signal, or as the second reference signal being a reference signal mapped onto x antenna ports for transmission.

[0182] In some embodiments, the n antenna ports of the network device represent the maximum number of configurable antenna ports of the network device. Alternatively, the n antenna ports of the network device represent the maximum number of antenna ports supported by the network device; or n can be described as the maximum number of antenna ports supported by the network device.

[0183] That is, the second reference signal is not transmitted through all the antenna ports of the network device, but through some of the antenna ports of the network device. In other words, the second reference signal is used to determine the distance range to which the terminal device belongs through some of the antenna ports of the network device; or, the second reference signal is used to determine the communication distance of the terminal device through some of the antenna ports of the network device; or, the second reference signal is used to determine measurement results related to the distance range of the terminal device through some of the antenna ports of the network device; or, the second reference signal is used to determine measurement results related to the communication distance of the terminal device through some of the antenna ports of the network device; or, the second reference signal is used to determine the propagation characteristics of the channel (such as whether it is a plane wave or a spherical wave, signal strength, Rayleigh distance, etc.) through some of the antenna ports of the network device; or, the second reference signal is used to determine measurement results related to the propagation characteristics of the channel (such as signal strength, wavelength, wavefront shape, etc.) through some of the antenna ports of the network device.

[0184] It should be noted that the x antenna ports of the network device configured with the second reference signal and the m antenna ports of the network device configured with the first reference signal can be the same, different, or partially the same. Furthermore, x can be less than m, equal to m, or greater than m. The embodiments of this application do not limit the configuration process of the antenna ports related to the x antenna ports of the network device configured with the second reference signal and the m antenna ports of the network device configured with the first reference signal.

[0185] In some embodiments, the second reference signal may be configured with n antenna ports of the network device, i.e., x can be equal to n. This can be understood as the second reference signal being configured with all antenna ports of the network device.

[0186] In some embodiments, the second reference signal includes at least one of CSI-RS (Channel State Information-Reference Signal), SSB (Synchronization Signal / PBCH Block), and DMRS (Demodulation Reference Signal).

[0187] Step 520: The terminal device determines the first measurement information based on the second reference signal.

[0188] In some embodiments, the first measurement information is determined by the terminal device based on the second reference signal.

[0189] In some embodiments, the first measurement information is a measurement result obtained based on a second reference signal; or, the first measurement information is used to indicate that the terminal device is within a first distance range or a second distance range. That is, the terminal device performs a measurement against the second reference signal to obtain the first measurement information, in which case the first measurement information includes at least one of L1-RSRP (Layer 1 Reference Signal Receiver Power), L1-SINR (Layer 1 Signal to Interference plus Noise Ratio), and CSI (Channel State Information). Alternatively, the terminal device obtains a measurement result based on the second reference signal, determines that the terminal device is within a first distance range or a second distance range based on the measurement result, and indicates the result determined by the terminal device (i.e., the first distance range or the second distance range) through the first measurement information, where the measurement result includes at least one of L1-RSRP, L1-SINR, and CSI.

[0190] Step 530: The terminal device determines the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter based on the first measurement information.

[0191] In some embodiments, the terminal device has the ability to determine whether it is in a first distance range or a second distance range, or the terminal device is configured to determine whether it is in a first distance range or a second distance range, or the protocol stipulates that the terminal device shall determine whether it is in a first distance range or a second distance range.

[0192] In some embodiments, the first measurement information is a measurement result obtained based on the second reference signal; the terminal device determines that the terminal device is in a first distance range or a second distance range based on the first measurement information, and determines the compressed sensing parameter as the first compressed sensing parameter when the terminal device is in the first distance range, and determines the compressed sensing parameter as the second compressed sensing parameter when the terminal device is in the second distance range.

[0193] In some embodiments, the first measurement information is used to indicate that the terminal device is in a first distance range or a second distance range; the terminal device determines, based on the first measurement information, that the compressed sensing parameter is the first compressed sensing parameter when the terminal device is in the first distance range, and that the compressed sensing parameter is the second compressed sensing parameter when the terminal device is in the second distance range.

[0194] Step 540: The terminal device sends the first measurement information to the network device.

[0195] In some embodiments, the terminal device sends first measurement information; the network device receives the first measurement information.

[0196] In some embodiments, the first measurement information sent by the terminal device to the network device is a measurement result obtained based on a second reference signal; or, the first measurement information sent by the terminal device to the network device is an indication that the terminal device is within a first distance range or a second distance range.

[0197] Step 550: The network device determines the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter based on the first measurement information.

[0198] In some embodiments, the network device has the ability to determine whether the terminal device is within a first distance range or a second distance range based on the first measurement information; or, the network device is configured to determine whether the terminal device is within a first distance range or a second distance range; or, the protocol stipulates that the network device shall determine whether the terminal device is within a first distance range or a second distance range.

[0199] In some embodiments, the first measurement information is a measurement result obtained based on the second reference signal; the network device determines that the terminal device is in a first distance range or a second distance range based on the first measurement information, and determines the compressed sensing parameter as the first compressed sensing parameter when the terminal device is in the first distance range, and determines the compressed sensing parameter as the second compressed sensing parameter when the terminal device is in the second distance range.

[0200] In some embodiments, the first measurement information is used to indicate that the terminal device is within a first distance range or a second distance range; the network device determines, based on the first measurement information, that the compressed sensing parameter is the first compressed sensing parameter when the terminal device is within the first distance range, and that the compressed sensing parameter is the second compressed sensing parameter when the terminal device is within the second distance range.

[0201] Step 560: The network device determines the first indication information based on the first measurement information.

[0202] In some embodiments, the first measurement information is a measurement result obtained based on a second reference signal; the network device determines whether the terminal device is within a first distance range or a second distance range based on the measurement result, and generates first indication information based on the determined result; when the terminal device is within the first distance range, the first indication information is used to determine a first compressed sensing parameter associated with the first distance range; when the terminal device is within the second distance range, the first indication information is used to determine a second compressed sensing parameter associated with the second distance range.

[0203] In some embodiments, the first measurement information is used to indicate that the terminal device is in a first distance range or a second distance range; the network device directly determines the first indication information based on the first measurement information; when the terminal device is in the first distance range, the first indication information is used to determine a first compressed sensing parameter associated with the first distance range; when the terminal device is in the second distance range, the first indication information is used to determine a second compressed sensing parameter associated with the second distance range.

[0204] In some embodiments, the first indication information is determined by the network device based on the first measurement information.

[0205] In some embodiments, the first indication information is used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range. Alternatively, the first indication information is used to determine the compressed sensing parameter to be used among at least two compressed sensing parameters associated with distance ranges. Furthermore, the first indication information is used to determine the current distance range among at least two distance ranges. Or, in other words, the first indication information is used to determine the compressed sensing parameter to be used among at least two compressed sensing parameters.

[0206] In some embodiments, the first indication information is carried in RRC (Radio Resource Control) signaling, MAC (Media Access Control) CE (Control Element) signaling, or DCI (Downlink Control Information) signaling.

[0207] Step 570: The network device sends the first instruction information to the terminal device.

[0208] In some embodiments, the network device sends first instruction information; the terminal device receives the first instruction information.

[0209] In some embodiments, the method further includes: the network device determining, based on first indication information, whether the compressed sensing parameter is a first compressed sensing parameter or a second compressed sensing parameter. Optionally, if the first indication information is used to determine a first compressed sensing parameter associated with a first distance range, the network device determines the compressed sensing parameter as the first compressed sensing parameter; if the first indication information determines a second compressed sensing parameter associated with a second distance range, the network device determines the compressed sensing parameter as the second compressed sensing parameter. This step can be performed after step 570 above, or it can be performed simultaneously with step 570 above.

[0210] Step 580: The terminal device determines the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter based on the first indication information.

[0211] In some embodiments, when the first indication information is used to determine a first compressed sensing parameter associated with a first distance range, the network device determines the compressed sensing parameter as the first compressed sensing parameter; when the first indication information determines a second compressed sensing parameter associated with a second distance range, the network device determines the compressed sensing parameter as the second compressed sensing parameter.

[0212] In some embodiments, the terminal device determines the compressed sensing parameter as the first compressed sensing parameter based on the first measurement information and the first indication information. If both the first measurement information and the first indication information indicate the use of the first compressed sensing parameter, the compressed sensing parameter is determined to be the first compressed sensing parameter. If the first measurement information indicates the use of a second compressed sensing parameter (or other compressed sensing parameter) and the first indication information indicates the use of the first compressed sensing parameter, or if the first measurement information indicates the use of the first compressed sensing parameter and the first indication information indicates the use of a second compressed sensing parameter (or other compressed sensing parameter), the terminal device requests a retransmission of the second reference signal to re-determine the compressed sensing parameter, or determines the compressed sensing parameter to be the first compressed sensing parameter, or determines the compressed sensing parameter to be the second compressed sensing parameter, or reports an anomaly.

[0213] In summary, the method provided in this application illustrates the process of determining first measurement information based on a second reference signal and determining first compressed sensing parameters based on the first measurement information. This method does not require the terminal device to report location-related information or the network device to send antenna array-related information. The first compressed sensing parameters are determined by measuring the second reference signal, or the measurement results are reported to the base station, which determines the first compressed sensing parameters. This method is simpler to implement and does not require the base station or terminal to expose privacy information.

[0214] In some embodiments, steps 510, 520, 530, 540, 550, 560, 570, and 580 are optional, and one or more of these steps may be omitted or substituted in different embodiments. Steps 510, 520, and 530 can be implemented as independent embodiments, i.e., the terminal device determines the compressed sensing parameter as the first compressed sensing parameter only based on the second reference signal; steps 510, 520, 540, and 550 can be implemented as independent embodiments, i.e., the network device determines the compressed sensing parameter as the first compressed sensing parameter only based on the first measurement information; steps 510, 520, 540, 560, 570, and 580 can be implemented as independent embodiments, i.e., the network device determines the first indication information based on the first measurement information, and the terminal device determines the compressed sensing parameter as the first compressed sensing parameter only based on the first indication information. Steps 510, 520, 530, 540, and 550 can be implemented as independent embodiments, i.e., both the terminal device and the network device determine the compressed sensing parameter as the first compressed sensing parameter based on the first measurement information; Steps 510, 520, 540, 550, 560, 570, and 580 can also be implemented as independent embodiments, i.e., the network device determines the compressed sensing parameter as the first compressed sensing parameter based on the first measurement information and determines the first indication information, and the terminal device determines the compressed sensing parameter as the first compressed sensing parameter based on the first indication information; however, the combined embodiments supported by the above steps 510 to 580 are not limited to these.

[0215] In some embodiments, steps 530 and 540 may be executed in an alternate order or simultaneously; step 530 may be executed after step 550 or simultaneously with step 550; step 530 may be executed after step 560 or simultaneously with step 560; step 530 may be executed after step 570 or simultaneously with step 570; step 530 may be executed after step 580 or simultaneously with step 580; steps 550 and 560 may be executed in an alternate order or simultaneously; step 550 may be executed after step 570 or simultaneously with step 570; step 550 may be executed after step 580 or simultaneously with step 580.

[0216] It should be noted that the embodiment corresponding to Figure 8 above is an overall embodiment combining the actions of the terminal device and the network device.

[0217] For the terminal device, in the optional embodiment based on Figure 3, step 210 can be implemented as follows: receiving first indication information, the first indication information being determined by the network device based on first measurement information, the first measurement information being a measurement result obtained by the terminal device based on a second reference signal; determining the compressed sensing parameter as either a first compressed sensing parameter or a second compressed sensing parameter based on the first indication information; wherein, the second reference signal is configured with x antenna ports of the network device, the x antenna ports being a portion of the n antenna ports of the network device, x and n being positive integers, and x being less than n.

[0218] For a terminal device, in an optional embodiment based on Figure 3, step 210 can be implemented as follows: determining the compressed sensing parameter as a first compressed sensing parameter or a second compressed sensing parameter based on first measurement information, wherein the first measurement information is determined based on a second reference signal, and the first measurement information is used to indicate that the terminal device is within a first distance range or a second distance range; wherein the second reference signal is configured with x antenna ports of the network device, the x antenna ports are a portion of the n antenna ports of the network device, x and n are both positive integers, and x is less than n. In some embodiments, the method further includes: sending the first measurement information, the first measurement information being used by the network device to determine first indication information, the first indication information being used to determine the first compressed sensing parameter associated with the first distance range or the second compressed sensing parameter associated with the second distance range.

[0219] For network devices, in an optional embodiment based on Figure 6, step 310 can be implemented as follows: receiving first measurement information sent by a terminal device, the first measurement information being determined by the terminal device based on a second reference signal; determining the compressed sensing parameter as either a first compressed sensing parameter or a second compressed sensing parameter based on the first measurement information; wherein the second reference signal is configured with x antenna ports of the network device, the x antenna ports being a subset of the n antenna ports of the network device, x and n being positive integers, and x being less than n.

[0220] For network devices, in an optional embodiment based on FIG6, the method further includes: sending first indication information, the first indication information being determined by the network device based on first measurement information, the first indication information being used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range.

[0221] It should be noted that in the embodiments corresponding to Figure 8 above, one or more steps performed by the terminal device can be implemented as an embodiment performed by the terminal device alone; one or more steps performed by the network device can be implemented as an embodiment performed by the network device alone.

[0222] Method 2: Determined based on antenna array information.

[0223] Figure 9 shows an overall flowchart of a parameter determination method provided in an exemplary embodiment of this application. The method includes:

[0224] Step 610: The network device sends the first information to the terminal device.

[0225] In some embodiments, the network device sends first information; the terminal device receives the first information.

[0226] In some embodiments, the first information is used to indicate antenna array information of the network device, or the first information is antenna array information of the network device, or the first information is used to indicate antenna array parameters of the network device, or the first information is used to indicate the state of the antenna array of the network device.

[0227] In some embodiments, the first information is used to determine the distance range of the terminal device, or the first information is used to determine that the terminal device is in a first distance range or a second distance range, or the first information is used to determine the antenna state when the network device sends a reference signal to the terminal device; or the first information is used by the terminal device to determine that the terminal device is in a first distance range or a second distance range based on the antenna state indicated by the first information.

[0228] In some embodiments, the first information includes at least one of the following: the horizontal spacing of the antenna arrays; the vertical spacing of the antenna arrays; the arrangement of the antenna arrays; and a first distance threshold corresponding to the antenna arrays.

[0229] In some embodiments, the horizontal spacing of an antenna array refers to the distance between horizontally adjacent antenna elements in the horizontal direction. The vertical spacing of an antenna array refers to the distance between vertically adjacent antenna elements in the vertical direction. The arrangement of an antenna array refers to the spatial layout of the antenna elements, including geometric shapes and arrangement patterns, such as linear arrays, rectangular arrays, circular arrays, irregular arrays, etc. The aforementioned antenna elements may also be referred to by other equivalent terms such as array elements or array components.

[0230] In some embodiments, the first distance threshold corresponding to the antenna array refers to a distance threshold used to determine whether the terminal device is in a first distance range or a second distance range; or, the first distance threshold corresponding to the antenna array refers to the boundary line between the first distance range and the second distance range; or, the first distance threshold corresponding to the antenna array refers to the distance value of the transition region between the first distance range and the second distance range.

[0231] Step 620: The terminal device determines the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter based on the first information.

[0232] In some embodiments, the terminal device determines that it is within a first distance range based on the first information, and determines the compressed sensing parameter as the first compressed sensing parameter; the terminal device determines that it is within a second distance range based on the first information, and determines the compressed sensing parameter as the second compressed sensing parameter.

[0233] In some embodiments, step 620 above can be implemented as follows: based on first information, determining a first location and / or a first distance, where the first location is the location of the terminal device and the first distance is the distance between the terminal device and the network device; when the first location is located in the communication area corresponding to the first distance range, determining the compressed sensing parameter as the first compressed sensing parameter; when the first distance is less than or equal to the first distance threshold, determining the compressed sensing parameter as the first compressed sensing parameter.

[0234] In some embodiments, the first location is located in the communication area corresponding to the first distance range. It can also be understood as the first location being located within the first distance range, or as the distance between the first location and the network device being within the first distance range.

[0235] In some embodiments, when the first location is located in the communication area corresponding to the second distance range, the compressed sensing parameter is determined as the second compressed sensing parameter; when the first distance is greater than or equal to the first distance threshold, the compressed sensing parameter is determined as the second compressed sensing parameter.

[0236] In some embodiments, a first position and / or a first distance are determined based on antenna array information indicated by the first information and information related to the signal carrying the first information.

[0237] For example, antenna aperture refers to the size of the antenna panel, or the physical dimensions of the antenna array, such as the length and width of the antenna array. Optionally, the first information includes at least one of the following: the horizontal spacing of the antenna array; the vertical spacing of the antenna array; the arrangement of the antenna array; and a first distance threshold corresponding to the antenna array. The antenna aperture can then be determined based on the horizontal spacing, the vertical spacing, and the arrangement of the antenna array. For example, if the antenna array is arranged as a linear arrangement of p antenna elements at equal intervals (i.e., p antenna elements are arranged at equal intervals on a straight line), and the horizontal spacing is s, and the vertical spacing is 0, then the antenna aperture D = p × s, which is equal to the total length of the antenna array; or, if the antenna array is arranged as a two-dimensional rectangular array of p rows and q columns, and the horizontal spacing is s, and the vertical spacing is t, then the antenna aperture D = (p * s) * (q * t); or, if the antenna array is arranged as a circular array with a diameter z, then the antenna aperture D = (z / 2). 2The diameter z can be determined based on the horizontal spacing of the antenna array, the vertical spacing of the antenna array, and the number of antenna elements on the diameter. For example, z = horizontal spacing of the antenna array × number of antenna elements on the diameter = vertical spacing of the antenna array × number of antenna elements on the diameter. It should be noted that, in the above calculation of the antenna aperture, considering the size of the antenna elements themselves, it is not directly calculated by multiplying the number of spacings between antenna elements by the number of horizontal or vertical spacings, but by directly multiplying the number of antenna elements by the horizontal or vertical spacings. However, in actual use, other methods of calculating the antenna aperture, such as multiplying the number of spacings between antenna elements by the number of horizontal or vertical spacings, can also be used. This application does not limit this method.

[0238] For example, if the antenna aperture is calculated based on the first information, the first distance can be calculated together with the measured wavelength and the antenna aperture, and the first position can be determined based on the first distance. For instance, D is the antenna aperture and λ is the wavelength; or, the first distance is determined based on the antenna aperture and wavelength, that is, the calculation method of the first distance is not limited in the embodiments of this application.

[0239] For example, the first distance threshold refers to the boundary between the first distance range and the second distance range. If the first distance threshold is a1, then when the first distance is less than or equal to a1, the terminal device is determined to be within the first distance range, and thus the compressed sensing parameter is determined to be the first compressed sensing parameter; when the first distance is greater than or equal to a1, the terminal device is determined to be within the second distance range, and thus the compressed sensing parameter is determined to be the second compressed sensing parameter.

[0240] For example, the first distance threshold refers to the distance value of the transition area between the first distance range and the second distance range. That is, the first distance threshold is a threshold interval. For example, if the first distance threshold is [a1, a2], then when the first distance is less than or equal to a1 (the lower limit of the first distance threshold, the minimum first distance threshold, or the minimum value among the first distance thresholds, etc.), the terminal device is determined to be in the first distance range, and thus the compressed sensing parameter is determined to be the first compressed sensing parameter; when the first distance is greater than or equal to a2 (the upper limit of the first distance threshold, the maximum first distance threshold, or the maximum value among the first distance thresholds, etc.), the terminal device is determined to be in the second distance range, and thus the compressed sensing parameter is determined to be the second compressed sensing parameter.

[0241] In some embodiments, the first distance threshold is indicated by the network device; or, the first distance threshold is predefined; or, the first distance threshold is agreed upon by the protocol; or, the first distance threshold is agreed upon in advance by the terminal device and the network device. The first distance threshold facilitates the terminal device and / or the network device in determining the compressed sensing parameters to be used, avoiding information mismatch caused by the communication area corresponding to the first distance range being matched with compressed sensing parameters related to the second distance range, thereby improving the accuracy of channel estimation.

[0242] In some embodiments, the first distance threshold is any one of the following: Rayleigh distance (i.e., ... D is the antenna aperture, and λ is the wavelength; a distance threshold is determined based on the antenna aperture and wavelength. When the first distance threshold is Rayleigh distance, it can be used to distinguish between the near-field and far-field regions in related technologies, thereby avoiding the information mismatch problem caused by matching far-field related compressed sensing parameters in the near-field communication region, thus improving the accuracy of channel estimation.

[0243] Step 630: The terminal device determines the second instruction information based on the first information.

[0244] In some embodiments, the second indication information is determined based on the first information.

[0245] In some embodiments, step 630 above may be implemented as follows: determining a first location and / or a first distance based on first information, wherein the first location is the location of the terminal device and the first distance is the distance between the terminal device and the network device; if the first location is located in the communication area corresponding to the first distance range, determining second indication information for determining the use of the first compressed sensing parameter; if the first distance is less than or equal to the first distance threshold, determining the second indication information for determining the use of the first compressed sensing parameter.

[0246] In some embodiments, when the first location is located in the communication area corresponding to the second distance range, the second indication information is determined to determine the use of the second compressed sensing parameter; when the first distance is greater than or equal to the first distance threshold, the second indication information is determined to determine the use of the second compressed sensing parameter.

[0247] In some embodiments, the terminal device determines that it is within a first distance range or a second distance range based on first information, and generates second indication information based on the determination result; when the terminal device is within the first distance range, the second indication information is used to determine a first compressed sensing parameter associated with the first distance range; when the terminal device is within the second distance range, the second indication information is used to determine a second compressed sensing parameter associated with the second distance range.

[0248] In some embodiments, the second indication information is used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range. Alternatively, the second indication information is used to determine the compressed sensing parameter to be used among at least two compressed sensing parameters associated with distance ranges. Furthermore, the second indication information is used to determine the current distance range among at least two distance ranges. Or, in other words, the second indication information is used to determine the compressed sensing parameter to be used among at least two compressed sensing parameters.

[0249] Step 640: The terminal device sends a second instruction message to the network device.

[0250] In some embodiments, the terminal device sends a second instruction message; the network device receives the second instruction message.

[0251] In some embodiments, the method further includes: the terminal device determining the compressed sensing parameter as a first compressed sensing parameter based on second indication information. Optionally, if the second indication information is used to determine a first compressed sensing parameter associated with a first distance range, the terminal device determines the compressed sensing parameter as the first compressed sensing parameter; if the second indication information determines a second compressed sensing parameter associated with a second distance range, the terminal device determines the compressed sensing parameter as the second compressed sensing parameter. This step can be performed after step 640 above, or it can be performed simultaneously with step 640 above.

[0252] Step 650: The network device determines the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter based on the second indication information.

[0253] In some embodiments, when the second indication information is used to determine a first compressed sensing parameter associated with a first distance range, the network device determines the compressed sensing parameter as the first compressed sensing parameter; when the second indication information determines a second compressed sensing parameter associated with a second distance range, the network device determines the compressed sensing parameter as the second compressed sensing parameter.

[0254] In summary, the method provided in this application embodiment allows the terminal device to determine whether it is in a first distance range or a second distance range based on the first information. This avoids the information mismatch caused by the terminal device matching the communication area corresponding to the first distance range with the compressed sensing parameters related to the second distance range, thereby improving the accuracy of channel estimation. Furthermore, this method does not require the terminal device to report location-related information, making it simpler to implement and not exposing the privacy information of the terminal device.

[0255] In some embodiments, steps 610, 620, 630, 640, and 650 are optional, and one or more of these steps may be omitted or substituted in different embodiments. Steps 610 and 620 can be implemented as independent embodiments, i.e., only the terminal device determines the compressed sensing parameter as the first compressed sensing parameter based on the first information; steps 610, 630, 640, and 650 can be implemented as independent embodiments, i.e., only the network device determines the compressed sensing parameter as the first compressed sensing parameter based on the second indication information; however, the combined embodiments supported by the above steps 610 to 650 are not limited thereto.

[0256] In some embodiments, steps 620 and 630 may be performed in an alternate order or simultaneously; step 620 may be performed after step 640 or simultaneously with step 640; step 620 may be performed after step 650 or simultaneously with step 650.

[0257] It should be noted that the embodiment corresponding to Figure 9 above is an overall embodiment combining the actions of the terminal device and the network device.

[0258] For a terminal device, in an optional embodiment based on Figure 3, step 210 can be implemented as follows: receiving first information, the first information being used to indicate antenna array information of the network device; determining the compressed sensing parameter as a first compressed sensing parameter or a second compressed sensing parameter based on the first information. In some embodiments, the method further includes: sending second indication information, the second indication information being determined based on the first information, the second indication information being used to determine the first compressed sensing parameter associated with a first distance range or the second compressed sensing parameter associated with a second distance.

[0259] For network devices, in an optional embodiment based on Figure 6, step 310 above can be implemented as follows: sending first information, the first information being used to indicate the antenna array information of the network device; receiving second indication information, the second indication information being determined by the terminal device based on the first information, the second indication information being used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance; and determining the compressed sensing parameter as the first compressed sensing parameter or the second compressed sensing parameter based on the second indication information.

[0260] It should be noted that in the embodiments corresponding to Figure 9 above, one or more steps performed by the terminal device can be implemented as an embodiment performed by the terminal device alone; one or more steps performed by the network device can be implemented as an embodiment performed by the network device alone.

[0261] Method 3: Determined based on the location information of the terminal device.

[0262] Figure 10 shows an overall flowchart of a parameter determination method provided in an exemplary embodiment of this application. The method includes:

[0263] Step 710: The terminal device sends the second information to the network device.

[0264] In some embodiments, the terminal device sends second information; the network device receives the second information.

[0265] In some embodiments, the second information is used to indicate the location information of the terminal device; or, the second information is used to indicate the location of the terminal device; or, the second information is used to indicate the relative position of the terminal device, where the relative position refers to the position of the terminal device relative to the network device, and may also be referred to as distance, relative distance, etc.; or, the second information is used to determine the location information of the terminal device.

[0266] In some embodiments, the second information includes at least one of the following: location information of the terminal device; measurement results of the terminal device, the measurement results being used to determine the location information of the terminal device; and an uplink reference signal, the uplink reference signal being used to measure the location information of the terminal device.

[0267] In some embodiments, the location information of a terminal device refers to the position of the terminal device relative to the network device, or the position of the terminal device in a predetermined coordinate system. The location information of a terminal device can be represented by at least one of the following: Time of Arrival (ToA); Angle of Arrival (AoA); Time Difference of Arrival (TDoA); Received Signal Strength (RSS). The location information of a terminal device can also be represented by its position in a latitude and longitude coordinate system (such as latitude and longitude coordinates), altitude, speed, etc.

[0268] In some embodiments, the measurement results of the terminal device are used to indicate measurement results related to the location of the terminal device. The measurement results of the terminal device include at least one of the following: time of arrival; angle of arrival; time difference of arrival; received signal strength.

[0269] In some embodiments, the terminal device transmits an uplink reference signal, which is used by the network device to measure the location information of the terminal device. For example, the network device receives the uplink reference signal and measures at least one of the following parameters based on the uplink reference signal: time of arrival; angle of arrival; time difference of arrival; received signal strength. Optionally, the uplink reference signal is an SRS (Sounding Reference Signal) reference signal.

[0270] In some embodiments, the location information and / or measurement results of the terminal device are obtained by the terminal device based on the first reference signal. Alternatively, the network device sends a third reference signal to the terminal device, the third reference signal being configured with x antenna ports, which are a portion of the n antenna ports of the network device; the terminal device receives the third reference signal; and the measurement results of the terminal device are obtained based on the third reference signal, or the location information of the terminal device is determined based on the measurement results obtained based on the third reference signal. The third reference signal is similar to the second reference signal shown in determination method one; for details, please refer to the description in determination method one above, which will not be repeated here.

[0271] Step 720: The network device determines the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter based on the second information.

[0272] In some embodiments, the network device determines that the terminal device is within a first distance range based on the second information, and determines the compressed sensing parameter as the first compressed sensing parameter; the network device determines that the terminal device is within a second distance range based on the second information, and determines the compressed sensing parameter as the second compressed sensing parameter.

[0273] In some embodiments, step 720 above can be implemented as follows: determining a first location and / or a first distance based on the second information, wherein the first location is the location of the terminal device and the first distance is the distance between the terminal device and the network device; when the first location is located in the communication area corresponding to the first distance range, determining the compressed sensing parameter as the first compressed sensing parameter; when the first distance is less than or equal to the first distance threshold, determining the compressed sensing parameter as the first compressed sensing parameter.

[0274] In some embodiments, the first location is located in the communication area corresponding to the first distance range. It can also be understood as the first location being located within the first distance range, or as the distance between the first location and the network device being within the first distance range.

[0275] In some embodiments, when the first location is located in the communication area corresponding to the second distance range, the compressed sensing parameter is determined as the second compressed sensing parameter; when the first distance is greater than or equal to the first distance threshold, the compressed sensing parameter is determined as the second compressed sensing parameter.

[0276] In some embodiments, the second information includes a first location (i.e., the location information of the terminal device). Based on the first location, it is determined whether the first location is located in the communication area corresponding to the first distance range. Generally speaking, the network device is the center point of the communication area. Therefore, the distance between the first location and the network device (which can be understood as the first distance) is calculated. When the distance is within the first distance range, it can be determined that the first location is located in the communication area corresponding to the first distance range.

[0277] In some embodiments, the second information includes parameters for determining the first location and the first distance (i.e., the measurement results of the terminal device), and the network device determines the first location and / or the first distance based on the measurement results of the terminal device. For example, the network device determines the first distance based on the arrival time, where the first distance is approximately equal to the product of the arrival time and the signal propagation speed. Alternatively, the network device directly determines whether the terminal device is within the first distance range based on the arrival time; for example, if the arrival time is less than or equal to an arrival time threshold, the terminal device is determined to be within the first distance range; if the arrival time is greater than or equal to the arrival time threshold, the terminal device is determined to be within the second distance range.

[0278] In some embodiments, the second information includes an uplink reference signal. The network device receives at least one of the following parameters measured based on the uplink reference signal: time of arrival; angle of arrival; time difference of arrival; received signal strength. The network device determines a first position and / or a first distance based on the measured results.

[0279] For example, the first distance threshold refers to the boundary between the first distance range and the second distance range. If the first distance threshold is a1, then when the first distance is less than or equal to a1, the terminal device is determined to be within the first distance range, and thus the compressed sensing parameter is determined to be the first compressed sensing parameter; when the first distance is greater than or equal to a1, the terminal device is determined to be within the second distance range, and thus the compressed sensing parameter is determined to be the second compressed sensing parameter.

[0280] For example, the first distance threshold refers to the distance value of the transition area between the first distance range and the second distance range. That is, the first distance threshold is a threshold interval. For example, if the first distance threshold is [a1, a2], then when the first distance is less than or equal to a1 (the lower limit of the first distance threshold, the minimum first distance threshold, or the minimum value among the first distance thresholds, etc.), the terminal device is determined to be in the first distance range, and thus the compressed sensing parameter is determined to be the first compressed sensing parameter; when the first distance is greater than or equal to a2 (the upper limit of the first distance threshold, the maximum first distance threshold, or the maximum value among the first distance thresholds, etc.), the terminal device is determined to be in the second distance range, and thus the compressed sensing parameter is determined to be the second compressed sensing parameter.

[0281] Step 730: The network device determines the third instruction information based on the second information.

[0282] In some embodiments, the third indication information is determined based on the second information.

[0283] In some embodiments, step 730 above may be implemented as follows: determining a first location and / or a first distance based on second information, wherein the first location is the location of the terminal device and the first distance is the distance between the terminal device and the network device; if the first location is located in the communication area corresponding to the first distance range, determining third indication information to determine the use of the first compressed sensing parameter; if the first distance is less than or equal to the first distance threshold, determining third indication information to determine the use of the first compressed sensing parameter.

[0284] In some embodiments, when the first location is located in the communication area corresponding to the second distance range, the third indication information is determined to determine the use of the second compressed sensing parameter; when the first distance is greater than or equal to the first distance threshold, the third indication information is determined to determine the use of the second compressed sensing parameter.

[0285] In some embodiments, the network device determines that the terminal device is within a first distance range or a second distance range based on the second information, and generates third indication information based on the determination result; when the terminal device is within the first distance range, the third indication information is used to determine a first compressed sensing parameter associated with the first distance range; when the terminal device is within the second distance range, the third indication information is used to determine a second compressed sensing parameter associated with the second distance range.

[0286] In some embodiments, the third indication information is used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range. Alternatively, the third indication information is used to determine the compressed sensing parameter to be used among at least two compressed sensing parameters associated with distance ranges. Furthermore, the third indication information is used to determine the current distance range among at least two distance ranges. Or, in other words, the third indication information is used to determine the compressed sensing parameter to be used among at least two compressed sensing parameters.

[0287] In some embodiments, the third indication information is carried in RRC signaling, MAC CE signaling, or DCI signaling.

[0288] Step 740: The network device sends a third instruction message to the terminal device.

[0289] In some embodiments, the network device sends third instruction information; the terminal device receives the third instruction information.

[0290] In some embodiments, the method further includes: the network device determining the compressed sensing parameter as a first compressed sensing parameter based on third indication information. Optionally, if the third indication information is used to determine a first compressed sensing parameter associated with a first distance range, the network device determines the compressed sensing parameter as the first compressed sensing parameter; if the third indication information determines a second compressed sensing parameter associated with a second distance range, the network device determines the compressed sensing parameter as the second compressed sensing parameter. This step can be performed after step 740 above, or it can be performed simultaneously with step 740 above.

[0291] Step 750: The terminal device determines the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter based on the third indication information.

[0292] In some embodiments, when the third indication information is used to determine a first compressed sensing parameter associated with a first distance range, the terminal device determines the compressed sensing parameter as the first compressed sensing parameter; when the third indication information determines a second compressed sensing parameter associated with a second distance range, the terminal device determines the compressed sensing parameter as the second compressed sensing parameter.

[0293] In summary, the method provided in this application embodiment allows the network device to determine whether to use the first compressed sensing parameter based on the second information, thus avoiding the information mismatch problem caused by the terminal device using the second compressed sensing parameter corresponding to the second distance range in the communication area corresponding to the first distance range, thereby improving the accuracy of channel estimation.

[0294] In some embodiments, steps 710, 720, 730, 740, and 750 are optional, and one or more of these steps may be omitted or substituted in different embodiments. Steps 710 and 720 may be implemented as independent embodiments, i.e., the network device determines the compressed sensing parameter as the first compressed sensing parameter only based on the second information; steps 710, 730, 740, and 750 may be implemented as independent embodiments, i.e., the terminal device determines the compressed sensing parameter as the first compressed sensing parameter only based on the third indication information; however, the combined embodiments supported by the above steps 710 to 750 are not limited thereto.

[0295] In some embodiments, steps 720 and 730 may be performed in an alternate order or simultaneously; step 720 may be performed after step 740 or simultaneously with step 740; step 720 may be performed after step 750 or simultaneously with step 750.

[0296] It should be noted that the embodiment corresponding to Figure 10 above is an overall embodiment combining the actions of the terminal device and the network device.

[0297] For the terminal device, in the optional embodiment based on Figure 3, the above step 210 can be implemented as follows: sending second information, the second information being used to indicate the location information of the terminal device; receiving third indication information, the third indication information being determined by the network device based on the second information, the third indication information being used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range; and determining the compressed sensing parameter as the first compressed sensing parameter or the second compressed sensing parameter based on the third indication information.

[0298] For network devices, in an optional embodiment based on Figure 6, step 310 can be implemented as follows: receiving second information, the second information being used to indicate the location information of the terminal device; and determining the compressed sensing parameter as a first compressed sensing parameter or a second compressed sensing parameter based on the second information. In some embodiments, the method further includes: sending third indication information, the third indication information being determined based on the second information, the third indication information being used to determine the first compressed sensing parameter associated with a first distance range or the second compressed sensing parameter associated with a second distance range.

[0299] It should be noted that in the embodiments corresponding to Figure 10 above, one or more steps performed by the terminal device can be implemented as an embodiment performed by the terminal device alone; one or more steps performed by the network device can be implemented as an embodiment performed by the network device alone.

[0300] In some embodiments, the above-described determination method two may also employ the following method: the network device determines the compressed sensing parameter as the first compressed sensing parameter based on the first information. Optionally, the network device determines fourth indication information based on the first information; the network device sends the fourth indication information to the terminal device, the fourth indication information being used to determine whether to use the first compressed sensing parameter associated with a first distance range or the second compressed sensing parameter associated with a second distance range; the terminal device determines the compressed sensing parameter as the first compressed sensing parameter or the second compressed sensing parameter based on the fourth indication information.

[0301] In some embodiments, the above-described determination method three may also employ the following method: the terminal device determines the compressed sensing parameter as the first compressed sensing parameter based on the second information. Optionally, the terminal device determines the fifth indication information based on the second information; the terminal device sends the fifth indication information to the network device, the fifth indication information being used to determine the first compressed sensing parameter associated with a first distance range or the second compressed sensing parameter associated with a second distance range; the network device determines the compressed sensing parameter as the first compressed sensing parameter or the second compressed sensing parameter based on the fifth indication information.

[0302] In some embodiments, the steps performed by the terminal device and the network device in the recovery of compressed channel information and / or compressed beam measurement information may be different; that is, the compressed sensing parameters they use may be different. Therefore, the first compressed sensing parameters determined by the terminal device and the first compressed sensing parameters determined by the network device may be different. For example, the first compressed sensing parameters determined by the terminal device may include a measurement matrix, while the first compressed sensing parameters determined by the network device may include a sparse transformation matrix, etc. In some embodiments, only the terminal device needs to determine the first sensing parameters and implement the recovery process based on the first sensing parameters; or only the network device needs to determine the first sensing parameters and implement the recovery process based on the first sensing parameters.

[0303] In some embodiments, the first determination method described above can be combined with the method corresponding to FIG7, that is, the first determination method is used to determine the compressed sensing parameter as the first compressed sensing parameter, and then the method corresponding to FIG7 is used based on the first compressed sensing parameter to realize the propagation of the first channel information and / or the first beam measurement information and the recovery of the full channel information and / or the full beam measurement information; the second determination method described above can be combined with the method corresponding to FIG7 in real time, that is, the second determination method is used to determine the compressed sensing parameter as the first compressed sensing parameter, and then the method corresponding to FIG7 is used based on the first compressed sensing parameter to realize the propagation of the first channel information and / or the first beam measurement information and the recovery of the full channel information and / or the full beam measurement information; the third determination method described above can be combined with the method corresponding to FIG7 in real time, that is, the third determination method is used to determine the compressed sensing parameter as the first compressed sensing parameter, and then the method corresponding to FIG7 is used based on the first compressed sensing parameter to realize the propagation of the first channel information and / or the first beam measurement information and the recovery of the full channel information and / or the full beam measurement information.

[0304] In some embodiments, determination methods one, two, and three can be implemented in combination. Determination methods one and two can be implemented in combination, with the choice between method one and method two determined based on the capabilities of the terminal device and network device, the privacy configuration of the network device, etc. For example, if the network device refuses to expose antenna array information, method one can be used to determine the compressed sensing parameters; if the terminal device's capabilities are insufficient to implement method one, method two is used to determine the compressed sensing parameters. Determination methods one and three can be implemented in combination, with the choice between method one and method three determined based on the privacy configuration of the terminal device. For example, if the terminal device refuses to expose location information, method one can be used to determine the compressed sensing parameters; if the terminal device allows the exposure of location information, method three can be used to determine the compressed sensing parameters. Determination methods two and three can be implemented in combination, with the choice between method one and method two determined based on the capabilities of the terminal device and network device, the privacy configuration of the network device, the privacy configuration of the terminal device, etc. For example, if the network device refuses to expose antenna array information, method three can be used to determine the compressed sensing parameters; if the terminal device refuses to expose location information, method two can be used to determine the compressed sensing parameters. Method 1, Method 2, and Method 3 can be implemented in combination. The choice of Method 1, Method 2, or Method 3 is determined based on the capabilities of the terminal and network devices, the privacy configurations of the network and terminal devices, etc. For example, if the network device refuses to expose antenna array information, Method 1 or Method 3 can be used to determine the compressed sensing parameters; if the terminal device refuses to expose location information, Method 1 or Method 2 can be used to determine the compressed sensing parameters; if both the network device and the terminal device refuse to expose antenna array information, Method 1 can be used to determine the compressed sensing parameters.

[0305] For at least one of the first indication information, second indication information and third indication information mentioned above, the determination of the first compressed sensing parameter associated with the first distance range or the second compressed sensing parameter associated with the second distance range can be indicated in the following manner.

[0306] • The method of instruction for the first instruction information and / or the second instruction information and / or the third instruction information.

[0307] In some embodiments, the first indication information and / or the second indication information and / or the third indication information includes: one bit or more bits.

[0308] In some embodiments, when the first indication information and / or the second indication information and / or the third indication information are used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range, the first indication information and / or the second indication information and / or the third indication information includes 1 bit; for example, a bit of 0 indicates that the first compressed sensing parameter associated with the first distance range is determined, and a bit of 1 indicates that the second compressed sensing parameter associated with the second distance range is determined; or, a bit of 1 indicates that the first compressed sensing parameter associated with the first distance range is determined, and a bit of 0 indicates that the second compressed sensing parameter associated with the second distance range is determined.

[0309] Alternatively, a first value for a bit indicates that a first compressed sensing parameter associated with a first distance range is used, and a second value for a bit indicates that a second compressed sensing parameter associated with a second distance range is used. The first value is either 0 or 1, and the second value is either 0 or 1.

[0310] In some embodiments, one bit is located in the CSI or the PMI (Precoding Matrix Indicator). That is, the first indication information and / or the second indication information and / or the third indication information are located in the CSI, or the first indication information and / or the second indication information and / or the third indication information are located in the PMI.

[0311] In some embodiments, where the first indication information and / or the second indication information and / or the third indication information are used to determine one of a plurality of compressed sensing parameters, the first indication information and / or the second indication information and / or the third indication information include a plurality of bits. The plurality of bits are used to indicate the location range of the terminal device. Alternatively, it includes a plurality of distance ranges, each distance range corresponding to a location range, and each distance range corresponding to a compressed sensing parameter. Each distance range corresponds to a different location range, and each distance range corresponds to a different compressed sensing parameter.

[0312] In some embodiments, distance range and location interval can be considered to have the same function and the same meaning.

[0313] In some embodiments, each bit in the plurality of bits corresponds to a position interval. If the bit has a first value, it indicates that the compressed sensing parameters of the position interval corresponding to the bit are determined to be used; if the bit has a second value, it indicates that the compressed sensing parameters of the position interval corresponding to the bit are not used. Alternatively, the plurality of bits are used to indicate the index of the position interval. If the number of position intervals is n, then the number of bits included in the plurality of bits is n. This indicates rounding up to the nearest integer.

[0314] For example, multiple distance ranges correspond to position intervals [a1, a2], [a3, a4], and [a5, a6]. Position interval [a1, a2] corresponds to compressed sensing parameter 1, position interval [a3, a4] corresponds to compressed sensing parameter 2, and position interval [a5, a6] corresponds to compressed sensing parameter 3. Each bit in the multiple bits corresponds to a position interval. Therefore, the first indication information and / or the second indication information and / or the third indication information include 3 bits. If the first indication information and / or the second indication information and / or the third indication information are used to determine the use of compressed sensing parameter 2, then the first indication information and / or the second indication information and / or the third indication information include 010. If multiple bits are used to indicate the index of a location interval, then the first indication information and / or the second indication information and / or the third indication information include 2 bits. The terminal device and the network device can agree on the mapping relationship between the value of the bit and the location interval, such as 00 corresponding to the location interval [a1, a2], 01 corresponding to the location interval [a3, a4], and 10 corresponding to the location interval [a5, a6]. If the first indication information and / or the second indication information and / or the third indication information are used to determine the use of compressed sensing parameter 2, then the first indication information and / or the second indication information and / or the third indication information include 01.

[0315] In summary, the method provided in this application illustrates the indication method of first indication information and / or second indication information and / or third indication information. Indicating the compressed sensing parameters used by determining them using only one or more bits, rather than directly indicating the values ​​of the compressed sensing parameters, helps reduce signaling overhead in the channel estimation process based on compressed sensing and saves transmission resources.

[0316] In some embodiments, for the first distance range and the second distance range, in addition to the different associated compressed sensing parameters, the associated codebook parameters, beam parameters, etc., may also be different. Therefore, the method further includes at least one of the following: determining that the codebook parameter is a first codebook parameter associated with the first distance range, and the second distance range is associated with a second codebook parameter; determining that the beam parameter is a first beam parameter associated with the first distance range, and the second distance range is associated with a second beam parameter.

[0317] In some embodiments, the determination of codebook parameters and beam parameters can refer to the method for determining compressed sensing parameters shown above. In some embodiments, codebook parameters, beam parameters, and compressed sensing parameters can be collectively referred to as transmission parameters, that is, the method for determining transmission parameters in this application embodiment can be implemented as follows: the terminal device and / or network device determine the transmission parameters as first transmission parameters associated with a first distance range. This application embodiment does not limit this.

[0318] In some embodiments, the codebook parameter includes a codebook set. In some embodiments, the codebook set is a set of predefined signal patterns used to represent and transmit data in a multiple access communication system. The codebook is used for precoding in MIMO (Multiple-Input Multiple-Output) systems to improve signal transmission efficiency and reliability.

[0319] In some embodiments, beam parameters include: quasi-co-location configuration; and a TCI (Transmission Configuration Indication) state set. In some embodiments, quasi-co-location configuration refers to a situation in a multi-antenna system where the signals of two or more antenna ports have similar channel characteristics to some extent, characteristics that can be inferred from one port to another. In some embodiments, the TCI state set is a set of parameters used to indicate the quasi-co-location relationship between PDSCH (Physical Downlink Shared Channel) and PDCCH (Physical Downlink Control Channel) antenna ports.

[0320] Figure 11 shows a structural block diagram of a parameter determination device provided in an exemplary embodiment of this application. This device can be implemented as a terminal device, or as part of a terminal device, through software, hardware, or a combination of both. The device 800 includes:

[0321] The first determining module 810 is used to determine whether the compressed sensing parameter is a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range.

[0322] The first distance range is smaller than the second distance range, and the second distance range is associated with the second compressed sensing parameter.

[0323] In some embodiments, the first distance range and the second distance range are distance ranges for communication divided according to different electromagnetic wave propagation characteristics. In other words, the electromagnetic wave exhibits different electromagnetic wave propagation characteristics in the first distance range and the second distance range. For example, when the electromagnetic wave propagates in the first distance range, it is regarded as a spherical wave; when the electromagnetic wave propagates in the second distance range, it can be approximated as a plane wave.

[0324] In some embodiments, the first distance range and the second distance range are defined based on the distance to the network device (or the antenna of the network device). For example, as shown in FIG4, for the network device 10, the area with a distance less than or equal to r1 belongs to the first distance range 11, and the area with a distance greater than r1 belongs to the second distance range 12; intuitively, the interior of the circular region 13 (including the boundary of the circular region 13) belongs to the first distance range 11, the exterior of the circular region 13 belongs to the second distance range 12, and the radius R of the circular region 13 is equal to r1. It should be noted that the above division of the first and second distance ranges based on the distance to the network device is only for illustration. In actual division, the boundary between the first and second distance ranges can be ignored, that is, the circular area 13 belongs to neither the first nor the second distance range. In addition, the first and second distance ranges may not be adjacent. As shown in Figure 5, the interior of the circular area 13 (including the boundary of the circular area 13) belongs to the first distance range 11, the radius R of the circular area 13 is equal to r1, and the exterior of the circular area 14 (which may include the boundary of the circular area 14) belongs to the second distance range 12. That is, there is also a transition area between the first and second distance ranges. This transition area can be divided into a distance range (such as the third distance range), or it can be considered to belong to the first or second distance range, or neither, depending on the actual communication scenario.

[0325] Optionally, the "first distance range" and "second distance range" described in the embodiments of this application do not refer to dividing the communication range into two parts: a first distance range and a second distance range. Rather, they refer to the division of the communication range including both the first and second distance ranges, with the first distance range being smaller than the second communication distance range. In actual communication scenarios, the communication range can be divided into multiple distance ranges based on electromagnetic wave characteristics, communication requirements, etc., and the embodiments of this application do not limit this division.

[0326] In some embodiments, "the first distance range is less than the second distance range" can be understood as follows: the value of each distance in the first distance range is less than the value of each distance in the second distance range; it can also be understood as the maximum distance in the first distance range is less than the minimum distance in the second distance range; it can also be understood as the distance between any point satisfying the first distance range and the network device is less than any point satisfying the second distance range; or it can be understood as follows: when the first endpoint and the second endpoint are the left and right endpoints of the first distance range, respectively, and the third endpoint and the fourth endpoint are the left and right endpoints of the second distance range, respectively, the first endpoint is less than the third endpoint and the fourth endpoint, and the second endpoint is also less than the third endpoint and the fourth endpoint, for example; it can also be understood as the right endpoint of the first distance range is less than the left endpoint of the second distance range. For example, the first distance range is [a1, a2], and the second distance range is [a3, a4], where a1 is the minimum distance in the first distance range, a2 is the maximum distance in the first distance range, a3 is the minimum distance in the second distance range, and a4 is the maximum distance in the second distance range; the first distance range is less than the second distance range, i.e., a2 < a3. It should be noted that the examples above all illustrate that the first distance range is less than the second distance range. However, this application does not limit the case of "equal to," meaning that the first distance range can also be less than or equal to the second distance range. Furthermore, when representing the first and second distance ranges mathematically, they are represented as closed intervals [·, ·]. In the examples based on Figures 4 and 5, this means that the first and second distance ranges include the boundary of the circular region. However, they can also be represented as open intervals (·, ·). In the examples based on Figures 4 and 5, this means that the first and second distance ranges do not include the boundary of the circular region. This application does not limit this aspect.

[0327] In some embodiments, a first distance range is associated with a first compressed sensing parameter, and a second distance range is associated with a second compressed sensing parameter. The values ​​of the first and second compressed sensing parameters are different. In other words, the first and second distance ranges are associated with different compressed sensing parameters, or different distance ranges are associated with different compressed sensing parameters.

[0328] In some embodiments, the association of a first distance range with a first compressed sensing parameter means that the first compressed sensing parameter must be used when the first distance range is met. This can be understood as the first distance range corresponding to a first compressed sensing parameter, or as the first distance range being bound to a first compressed sensing parameter. In some embodiments, the association of a second distance range with a second compressed sensing parameter means that the second compressed sensing parameter must be used when the second distance range is met. This can be understood as the second distance range corresponding to a second compressed sensing parameter, or as the second distance range being bound to a second compressed sensing parameter.

[0329] In some embodiments, compressed sensing parameters are used to implement compressed sensing of signals, or compressed sensing parameters are used to implement compressed sensing of reference signals, or compressed sensing parameters are used to implement compressed sensing of information, or compressed sensing parameters are used to perform compressed sensing on signals, or compressed sensing parameters are used to perform compressed sensing on reference signals, or compressed sensing parameters are used to perform compressed sensing on information, or compressed sensing parameters are used to restore the compressed signal to the original signal, or compressed sensing parameters are used to restore the compressed reference signal to the original reference signal, or compressed sensing parameters are used to restore the compressed information to the original information.

[0330] In summary, the apparatus provided in this application uses different compressed sensing parameters associated with a first distance range and a second distance range, and determines the compressed sensing parameter as the first compressed sensing parameter associated with the first distance range. On one hand, applying compressed sensing theory to communication systems helps improve the acquisition of effective signal information at frequencies far below the Nyquist sampling frequency, thus improving sampling efficiency. Furthermore, the lower sampling frequency supports devices with poor hardware capabilities (especially sampling capabilities or analog-to-digital conversion capabilities) in receiving and reconstructing signals, reducing hardware costs and signal transmission complexity. On the other hand, associating different compressed sensing parameters with different distance ranges is because the propagation characteristics of electromagnetic waves (or energy) may differ across different distance ranges. Therefore, using different compressed sensing parameters for different distance ranges helps adapt compressed sensing theory to different distance ranges (or transmission environments), thereby achieving compressed sensing for different distance ranges.

[0331] Figure 12 illustrates a flowchart of a parameter determination method provided in an exemplary embodiment of this application. The device 900 can be implemented as a network device, or as part of a network device, through software, hardware, or a combination of both. The device 900 includes:

[0332] The second determining module 910 is used to determine whether the compressed sensing parameter is a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range.

[0333] The first distance range is smaller than the second distance range, and the second distance range is associated with the second compressed sensing parameter.

[0334] In some embodiments, the first distance range and the second distance range are distance ranges for communication divided according to different electromagnetic wave propagation characteristics. In other words, the electromagnetic wave exhibits different electromagnetic wave propagation characteristics in the first distance range and the second distance range. For example, when the electromagnetic wave propagates in the first distance range, it is regarded as a spherical wave; when the electromagnetic wave propagates in the second distance range, it can be approximated as a plane wave.

[0335] In some embodiments, the first distance range and the second distance range are defined based on the distance to the network device (or the antenna of the network device). For example, as shown in FIG4, for the network device 10, the area with a distance less than or equal to r1 belongs to the first distance range 11, and the area with a distance greater than r1 belongs to the second distance range 12; intuitively, the interior of the circular region 13 (including the boundary of the circular region 13) belongs to the first distance range 11, the exterior of the circular region 13 belongs to the second distance range 12, and the radius R of the circular region 13 is equal to r1. It should be noted that the above division of the first and second distance ranges based on the distance to the network device is only for illustration. In actual division, the boundary between the first and second distance ranges can be ignored, that is, the circular area 13 belongs to neither the first nor the second distance range. In addition, the first and second distance ranges may not be adjacent. As shown in Figure 5, the interior of the circular area 13 (including the boundary of the circular area 13) belongs to the first distance range 11, the radius R of the circular area 13 is equal to r1, and the exterior of the circular area 14 (which may include the boundary of the circular area 14) belongs to the second distance range 12. That is, there is also a transition area between the first and second distance ranges. This transition area can be divided into a distance range (such as the third distance range), or it can be considered to belong to the first or second distance range, or neither, depending on the actual communication scenario.

[0336] Optionally, the "first distance range" and "second distance range" described in the embodiments of this application do not refer to dividing the communication range into two parts: a first distance range and a second distance range. Rather, they refer to the division of the communication range including both the first and second distance ranges, with the first distance range being smaller than the second communication distance range. In actual communication scenarios, the communication range can be divided into multiple distance ranges based on electromagnetic wave characteristics, communication requirements, etc., and the embodiments of this application do not limit this division.

[0337] In some embodiments, "the first distance range is less than the second distance range" can be understood as follows: the value of each distance in the first distance range is less than the value of each distance in the second distance range; it can also be understood as the maximum distance in the first distance range is less than the minimum distance in the second distance range; it can also be understood as the distance between any point satisfying the first distance range and the network device is less than any point satisfying the second distance range; or it can be understood as follows: when the first endpoint and the second endpoint are the left and right endpoints of the first distance range, respectively, and the third endpoint and the fourth endpoint are the left and right endpoints of the second distance range, respectively, the first endpoint is less than the third endpoint and the fourth endpoint, and the second endpoint is also less than the third endpoint and the fourth endpoint, for example; it can also be understood as the right endpoint of the first distance range is less than the left endpoint of the second distance range. For example, the first distance range is [a1, a2], and the second distance range is [a3, a4], where a1 is the minimum distance in the first distance range, a2 is the maximum distance in the first distance range, a3 is the minimum distance in the second distance range, and a4 is the maximum distance in the second distance range; the first distance range is less than the second distance range, i.e., a2 < a3. It should be noted that the examples above all illustrate that the first distance range is less than the second distance range. However, this application does not limit the case of "equal to," meaning that the first distance range can also be less than or equal to the second distance range. Furthermore, when representing the first and second distance ranges mathematically, they are represented as closed intervals [·, ·]. In the examples based on Figures 4 and 5, this means that the first and second distance ranges include the boundary of the circular region. However, they can also be represented as open intervals (·, ·). In the examples based on Figures 4 and 5, this means that the first and second distance ranges do not include the boundary of the circular region. This application does not limit this aspect.

[0338] In some embodiments, a first distance range is associated with a first compressed sensing parameter, and a second distance range is associated with a second compressed sensing parameter. The values ​​of the first and second compressed sensing parameters are different. In other words, the first and second distance ranges are associated with different compressed sensing parameters, or different distance ranges are associated with different compressed sensing parameters.

[0339] In some embodiments, the association of a first distance range with a first compressed sensing parameter means that the first compressed sensing parameter must be used when the first distance range is met. This can be understood as the first distance range corresponding to a first compressed sensing parameter, or as the first distance range being bound to a first compressed sensing parameter. In some embodiments, the association of a second distance range with a second compressed sensing parameter means that the second compressed sensing parameter must be used when the second distance range is met. This can be understood as the second distance range corresponding to a second compressed sensing parameter, or as the second distance range being bound to a second compressed sensing parameter.

[0340] In some embodiments, compressed sensing parameters are used to implement compressed sensing of signals, or compressed sensing parameters are used to implement compressed sensing of reference signals, or compressed sensing parameters are used to implement compressed sensing of information, or compressed sensing parameters are used to perform compressed sensing on signals, or compressed sensing parameters are used to perform compressed sensing on reference signals, or compressed sensing parameters are used to perform compressed sensing on information, or compressed sensing parameters are used to restore the compressed signal to the original signal, or compressed sensing parameters are used to restore the compressed reference signal to the original reference signal, or compressed sensing parameters are used to restore the compressed information to the original information.

[0341] In summary, the apparatus provided in this application uses different compressed sensing parameters associated with a first distance range and a second distance range, and determines the compressed sensing parameter as the first compressed sensing parameter associated with the first distance range. On one hand, applying compressed sensing theory to communication systems helps improve the acquisition of effective signal information at frequencies far below the Nyquist sampling frequency, thus improving sampling efficiency. Furthermore, the lower sampling frequency supports devices with poor hardware capabilities (especially sampling capabilities or analog-to-digital conversion capabilities) in receiving and reconstructing signals, reducing hardware costs and signal transmission complexity. On the other hand, associating different compressed sensing parameters with different distance ranges is because the propagation characteristics of electromagnetic waves (or energy) may differ across different distance ranges. Therefore, using different compressed sensing parameters for different distance ranges helps adapt compressed sensing theory to different distance ranges (or transmission environments), thereby achieving compressed sensing for different distance ranges.

[0342] Next, we will provide further details on compressed sensing parameters.

[0343] In some embodiments, compressed sensing parameters include at least one of the following: a measurement matrix; a sparse transformation matrix.

[0344] In some embodiments, compressed sensing parameters are used to recover multiple channel information based on a portion of the channel information; and / or, compressed sensing parameters are used to recover multiple beam measurement information based on a portion of the beam measurement information.

[0345] In some embodiments, some channel information and some beam measurement information need to be measured based on a reference signal, and therefore can be done in the following manner.

[0346] In an alternative embodiment based on FIG11, the device 800 further includes at least one of the following: a first transmitting module; a first receiving module.

[0347] In an alternative embodiment based on FIG12, the device 900 further includes at least one of the following: a second transmitting module; a second receiving module.

[0348] In some embodiments, a first receiving module is configured to receive a first reference signal, the first reference signal being configured with m antenna ports of a network device, the m antenna ports being a subset of n antenna ports of the network device, where m and n are both positive integers, and m is less than n; a first transmitting module is configured to transmit first channel information and / or first beam measurement information to the network device, the first channel information being determined based on at least one of a first compressed sensing parameter and the first reference signal, and the first beam measurement information being determined based on at least one of the first compressed sensing parameter and the first reference signal.

[0349] In some embodiments, the second transmitting module is used to transmit a first reference signal, which is used by the terminal device to determine first channel information and / or first beam measurement information. The first reference signal is configured with m antenna ports of the network device, where the m antenna ports are a subset of the n antenna ports of the network device, and m and n are both positive integers, with m being less than n. The second receiving module is used to receive the first channel information and / or first beam measurement information transmitted by the terminal device.

[0350] In some embodiments, the specific details can be referred to the method embodiment corresponding to Figure 7 above, and will not be repeated here.

[0351] Compressed sensing parameters depend on the positional relationship between the terminal device and the network device; that is, whether the distance between the terminal device and the network device falls within a first distance range, a second distance range, or another distance range. Therefore, the terminal device and / or network device need to determine the compressed sensing parameters based on the distance between them. Three methods for determining compressed sensing parameters are shown below.

[0352] Method 1: Determined based on the measurement results of the reference signal;

[0353] Method 2: Determined based on antenna array information;

[0354] Method 3: Determined based on the location information of the terminal device.

[0355] The following text will introduce the three determination methods in turn, but the order in which the three determination methods are introduced does not limit the advantages and disadvantages of these three determination methods.

[0356] Method 1: Determined based on the measurement results of the reference signal.

[0357] In some embodiments, a first receiving module is configured to receive first indication information, which is determined by a network device based on first measurement information, and the first measurement information is a measurement result obtained by a terminal device based on a second reference signal; a first determining module 810 is configured to determine, based on the first indication information, the compressed sensing parameter as either a first compressed sensing parameter or a second compressed sensing parameter; wherein, the second reference signal is configured with x antenna ports of the network device, the x antenna ports being a subset of the n antenna ports of the network device, x and n being positive integers, and x being less than n.

[0358] In some embodiments, the first determining module 810 is configured to determine, based on first measurement information, whether the compressed sensing parameter is a first compressed sensing parameter or a second compressed sensing parameter. The first measurement information is determined based on a second reference signal and is used to indicate that the terminal device is within a first distance range or a second distance range. The second reference signal is configured with x antenna ports of the network device, where x antenna ports are a subset of n antenna ports of the network device, and x and n are both positive integers, with x less than n. In some embodiments, the first transmitting module is configured to transmit the first measurement information, which is used by the network device to determine first indication information. The first indication information is used to determine whether the first compressed sensing parameter is associated with a first distance range or a second compressed sensing parameter is associated with a second distance range.

[0359] In some embodiments, the second receiving module is used to receive first measurement information sent by the terminal device, the first measurement information being determined by the terminal device based on the second reference signal; the second determining module 910 is used to determine, based on the first measurement information, the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter; wherein, the second reference signal is configured with x antenna ports of the network device, the x antenna ports being a subset of the n antenna ports of the network device, x and n being positive integers, and x being less than n.

[0360] In some embodiments, the second sending module is configured to send first indication information, which is determined by the network device based on first measurement information. The first indication information is used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range.

[0361] In some embodiments, the specific details can be found in "Determination Method 1: Determined based on the measurement results of the reference signal" shown in the above method embodiments, and will not be repeated here.

[0362] Method 2: Determined based on antenna array information.

[0363] In some embodiments, a first receiving module is configured to receive first information, the first information being used to indicate antenna array information of a network device; a first determining module 810 is configured to determine, based on the first information, whether the compressed sensing parameter is a first compressed sensing parameter or a second compressed sensing parameter. In some embodiments, a first transmitting module is configured to transmit second indication information, the second indication information being determined based on the first information, the second indication information being used to determine whether the first compressed sensing parameter is associated with a first distance range or a second compressed sensing parameter is associated with a second distance range.

[0364] In some embodiments, the first determining module 810 is further configured to determine a first location and / or a first distance based on first information, wherein the first location is the location of the terminal device and the first distance is the distance between the terminal device and the network device; if the first location is located in the communication area corresponding to the first distance range, determine the compressed sensing parameter as a first compressed sensing parameter or a second compressed sensing parameter; if the first distance is less than or equal to a first distance threshold, determine the compressed sensing parameter as a first compressed sensing parameter or a second compressed sensing parameter.

[0365] In some embodiments, a second transmitting module is configured to transmit first information, the first information being used to indicate antenna array information of a network device; a second receiving module is configured to receive second indication information, the second indication information being determined by a terminal device based on the first information, the second indication information being used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance range; and a second determining module 910 is configured to determine, based on the second indication information, that the compressed sensing parameter is either the first compressed sensing parameter or the second compressed sensing parameter.

[0366] In some embodiments, the specific details can be found in "Determination Method Two: Determining Based on Antenna Array Information" shown in the above method embodiments, and will not be repeated here.

[0367] Method 3: Determined based on the location information of the terminal device.

[0368] In some embodiments, a first sending module is used to send second information, the second information being used to indicate the location information of a terminal device; a first receiving module is used to receive third indication information, the third indication information being determined by a network device based on the second information, the third indication information being used to determine a first compressed sensing parameter associated with a first distance range or a second compressed sensing parameter associated with a second distance; and a first determining module 810 is used to determine, based on the third indication information, the compressed sensing parameter as either the first compressed sensing parameter or the second compressed sensing parameter.

[0369] In some embodiments, the second receiving module is configured to receive second information, which indicates the location information of the terminal device; the second determining module 910 is configured to determine, based on the second information, the compressed sensing parameter as a first compressed sensing parameter or a second compressed sensing parameter. In some embodiments, the second sending module is configured to send third indication information, which is determined based on the second information, and is used to determine the first compressed sensing parameter associated with a first distance range or the second compressed sensing parameter associated with a second distance.

[0370] In some embodiments, the second determining module 910 is further configured to determine a first location and / or a first distance based on the second information, wherein the first location is the location of the terminal device and the first distance is the distance between the terminal device and the network device; if the first location is located in the communication area corresponding to the first distance range, determine the compressed sensing parameter as a first compressed sensing parameter or a second compressed sensing parameter; if the first distance is less than or equal to a first distance threshold, determine the compressed sensing parameter as a first compressed sensing parameter or a second compressed sensing parameter.

[0371] In some embodiments, the specific content can be referred to as "Determination Method 3: Determining based on the location information of the terminal device" shown in the above method embodiments, and will not be repeated here.

[0372] For at least one of the first indication information, second indication information and third indication information mentioned above, the determination of the first compressed sensing parameter associated with the first distance range or the second compressed sensing parameter associated with the second distance range can be indicated in the following manner.

[0373] • The method of instruction for the first instruction information and / or the second instruction information and / or the third instruction information.

[0374] In some embodiments, the first indication information and / or the second indication information and / or the third indication information includes one or more bits. In some embodiments, the one bit is located in the CSI or the PMI (Precoding Matrix Indicator). In some embodiments, the multiple bits are used to indicate the location range of the terminal device.

[0375] In some embodiments, the specific content can be referred to as “the indication method of the first indication information and / or the second indication information and / or the third indication information” in the above method embodiments, and will not be repeated here.

[0376] In some embodiments, for the first distance range and the second distance range, in addition to the different associated compressed sensing parameters, the associated codebook parameters, beam parameters, etc., may also be different. The first determining module 810 is used to determine that the codebook parameters are the first codebook parameters associated with the first distance range, and the second distance range is associated with the second codebook parameters; the first determining module 810 is also used to determine that the beam parameters are the first beam parameters associated with the first distance range, and the second distance range is associated with the second beam parameters.

[0377] In some embodiments, the second determining module 910 is used to determine that the codebook parameter is a first codebook parameter associated with a first distance range, and the second distance range is associated with a second codebook parameter; the second determining module 910 is used to determine that the beam parameter is a first beam parameter associated with a first distance range, and the second distance range is associated with a second beam parameter.

[0378] It should be noted that the device provided in the above embodiments is only an example of the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0379] Regarding the apparatus in this embodiment, the specific manner in which each module performs its operations has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0380] Figure 13 shows a schematic diagram of the structure of a terminal device provided in an exemplary embodiment of this application. The terminal device 1000 can be used to execute the method steps performed by the terminal device in the above embodiments. The terminal device 1000 may include: a processor 1001, a transceiver 1002, and a memory 1003. The processor 1001 can be used to control sending and / or receiving. The transceiver 1002 can be used to implement sending and / or receiving functions.

[0381] The processor 1001 includes one or more processing cores. The processor 1001 executes various functional applications and information processing by running software programs and modules.

[0382] The transceiver 1002 may include a receiver and a transmitter. For example, the receiver and transmitter may be implemented as the same wireless communication component, which may include a wireless communication chip and a radio frequency antenna.

[0383] The memory 1003 can be connected to the processor 1001 and the transceiver 1002.

[0384] The memory 1003 can be used to store a computer program executed by the processor, and the processor 1001 is used to execute the computer program to implement the various steps in the above method embodiments.

[0385] Furthermore, the memory 1003 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, including but not limited to: magnetic disks or optical disks, electrically erasable programmable read-only memory, erasable programmable read-only memory, static on-demand memory, read-only memory, magnetic memory, flash memory, and programmable read-only memory.

[0386] For details not described in this embodiment, please refer to the embodiments above, which will not be repeated here.

[0387] Figure 14 shows a schematic diagram of a network device provided in an exemplary embodiment of this application. The network device 1100 can be used to execute the method steps performed by the network device in the above embodiments. The network device 1100 may include: a processor 1101, a transceiver 1102, and a memory 1103. The processor 1101 can be used to control transmission and / or reception. The transceiver 1102 can be used to implement transmission and / or reception functions.

[0388] The processor 1101 includes one or more processing cores. The processor 1101 executes various functional applications and information processing by running software programs and modules.

[0389] Transceiver 1102 may include a receiver and a transmitter. For example, transceiver 1102 may include a wired communication component, which may include a wired communication chip and a wired interface (such as a fiber optic interface). Optionally, transceiver 1102 may also include a wireless communication component, which may include a wireless communication chip and a radio frequency antenna.

[0390] The memory 1103 can be connected to the processor 1101 and the transceiver 1102.

[0391] The memory 1103 can be used to store a computer program executed by the processor, and the processor 1101 is used to execute the computer program to implement the various steps performed by the network device in the above method embodiment.

[0392] Furthermore, memory 1103 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, including but not limited to: magnetic disks or optical disks, electrically erasable programmable read-only memory, erasable programmable read-only memory, static on-demand memory, read-only memory, magnetic memory, flash memory, and programmable read-only memory.

[0393] For details not described in this embodiment, please refer to the embodiments above, which will not be repeated here.

[0394] This application also provides a computer-readable storage medium storing a computer program for execution by a processor to implement the above-described parameter determination method. In some embodiments, the computer-readable storage medium may include ROM (Read-Only Memory), RAM (Random-Access Memory), SSD (Solid State Drives), or optical disc, etc. The random access memory may include ReRAM (Resistance Random Access Memory) and DRAM (Dynamic Random Access Memory).

[0395] This application also provides a chip, which includes programmable logic circuits and / or program instructions. When the chip is running, it is used to implement the above-described parameter determination method. This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. A processor reads and executes the computer program from the computer-readable storage medium to implement the above-described parameter determination method. This application also provides a computer program stored in a computer-readable storage medium. A processor obtains the computer program from the computer-readable storage medium and executes the computer program to implement the above-described parameter determination method.

[0396] Those skilled in the art will recognize that the functions described in the embodiments of this application in one or more of the above examples can be implemented using hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transfer of a computer program from one place to another. Storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0397] It should be understood that the frame format and element format shown in the embodiments of this application are exemplary cases. Under different embodiments or different designs, it is not excluded that at least one of the following designs may change: the position of each field in the frame / element, the arrangement order with other fields, the number of bytes occupied, and the number of bits occupied. This application does not limit the specific format of each frame or element.

[0398] The above description is merely an optional embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A parameter determination method characterized by, The method is executed by a terminal device, and the method includes: The compressed sensing parameters are determined to be the first compressed sensing parameters associated with the first distance range; Wherein, the first distance range is smaller than the second distance range, and the second distance range is associated with a second compressed sensing parameter.

2. The method of claim 1, wherein, The compressed sensing parameters are used to recover the multiple channel information based on a portion of the channel information; and / or, the compressed sensing parameters are used to recover the multiple beam measurement information based on a portion of the beam measurement information.

3. The method according to claim 1 or 2, characterized in that, The compressed sensing parameters include at least one of the following: a measurement matrix; a sparse transformation matrix.

4. The method according to any one of claims 1 to 3, characterized in that, The method further includes: Receive a first reference signal, the first reference signal being configured with m antenna ports of the network device, the m antenna ports being a subset of the n antenna ports of the network device, where m and n are both positive integers, and m is less than n; Send first channel information and / or first beam measurement information to the network device, wherein the first channel information is determined based on at least one of the first compressed sensing parameter and the first reference signal, and the first beam measurement information is determined based on at least one of the first compressed sensing parameter and the first reference signal.

5. The method of claim 4, wherein, The compressed sensing parameters include at least one of the following: a measurement matrix; a sparse transformation matrix; the first channel information is any one of the following: compressed channel information measured based on the first reference signal; a sparse representation of the full channel information determined based on the measurement matrix and the first reference signal; Full-channel information determined based on the measurement matrix, the sparse transformation matrix, and the first reference signal.

6. The method according to claim 4 or 5, characterized in that, The compressed sensing parameters include at least one of the following: a measurement matrix; a sparse transformation matrix; the first beam measurement information is any one of the following: compressed beam measurement information obtained based on the first reference signal; a sparse representation of full beam measurement information determined based on the measurement matrix and the first reference signal; Full-beam measurement information determined based on the measurement matrix, the sparse transformation matrix, and the first reference signal.

7. The method according to any one of claims 1 to 6, characterized in that, The determination of the compressed sensing parameters as first compressed sensing parameters associated with the first distance range includes: Receive first indication information, the first indication information being determined by the network device based on first measurement information, the first measurement information being a measurement result obtained by the terminal device based on a second reference signal; Based on the first indication information, the compression sensing parameter is determined to be the first compression sensing parameter; The second reference signal is configured with x antenna ports of the network device, wherein the x antenna ports are a portion of the n antenna ports of the network device, and x and n are both positive integers, with x being less than n.

8. The method according to any one of claims 1 to 6, characterized in that, The determination of the compressed sensing parameters as first compressed sensing parameters associated with the first distance range includes: The compressed sensing parameter is determined based on the first measurement information, wherein the first measurement information is determined based on the second reference signal, and the first measurement information is used to indicate that the terminal device is within the first distance range or the second distance range. The second reference signal is configured with x antenna ports of the network device, wherein the x antenna ports are a portion of the n antenna ports of the network device, and x and n are both positive integers, with x being less than n.

9. The method of claim 8, wherein, The method further includes: The first measurement information is sent, which is used by the network device to determine first indication information, which is used to determine a first compressed sensing parameter associated with the first distance range.

10. The method according to any one of claims 7 to 9, characterized in that, The second reference signal includes at least one of the following: Channel State Information Reference Signal (CSI-RS), Synchronization Signal Block (SSB), and Demodulation Reference Signal (DMRS).

11. The method according to any one of claims 1 to 6, characterized in that, The determination of the compressed sensing parameters as first compressed sensing parameters associated with the first distance range includes: Receive first information, the first information being used to indicate the antenna array information of the network device; Based on the first information, the compressed sensing parameter is determined to be the first compressed sensing parameter.

12. The method of claim 11, wherein, The method further includes: Send a second indication message, which is determined based on the first information, and the second indication message is used to determine a first compressed sensing parameter associated with the first distance range.

13. The method according to claim 11 or 12, characterized in that, The first information includes at least one of the following: the horizontal spacing of the antenna arrays; the vertical spacing of the antenna arrays; the arrangement of the antenna arrays; and a first distance threshold corresponding to the antenna arrays.

14. The method according to any one of claims 11 to 13, characterized in that, The step of determining the compressed sensing parameter as the first compressed sensing parameter based on the first information includes: Based on the first information, a first location and / or a first distance are determined, wherein the first location is the location of the terminal device, and the first distance is the distance between the terminal device and the network device; When the first position is located in the communication area corresponding to the first distance range, the compressed sensing parameter is determined to be the first compressed sensing parameter; If the first distance is less than or equal to the first distance threshold, the compressed sensing parameter is determined to be the first compressed sensing parameter.

15. The method of claim 14, wherein, The first distance threshold is indicated by the network device; or, the first distance threshold is predefined.

16. The method according to any one of claims 13 to 15, characterized in that, The first distance threshold is any one of the following: Rayleigh distance; distance threshold determined based on antenna aperture and wavelength.

17. The method of any one of claims 1 to 6, wherein, The determination of the compressed sensing parameters as first compressed sensing parameters associated with the first distance range includes: Send a second message, the second message being used to indicate the location information of the terminal device; Receive third indication information, the third indication information being determined by the network device based on the second information, the third indication information being used to determine a first compressed sensing parameter associated with a first distance range; Based on the third indication information, the compression sensing parameter is determined to be the first compression sensing parameter.

18. The method of claim 17, wherein, The second information includes at least one of the following: the location information of the terminal device; the measurement result of the terminal device, the measurement result being used to determine the location information of the terminal device; and an uplink reference signal, the uplink reference signal being used to measure the location information of the terminal device.

19. The method of claim 7 or 9 or 17, wherein, The first indication information and / or the third indication information are carried in Radio Resource Control (RRC) signaling, Media Access Control (MAC) control element (CE) signaling, or Downlink Control Information (DCI) signaling.

20. The method of any one of claims 7 to 19, wherein, The first indication information and / or the second indication information and / or the third indication information include: one bit or multiple bits.

21. The method of claim 20, wherein, The first indication information and / or the second indication information and / or the third indication information includes 1 bit; The bit being 0 indicates that a first compressed sensing parameter associated with the first distance range is used, and the bit being 1 indicates that a second compressed sensing parameter associated with the second distance range is used; or, the bit being 1 indicates that a first compressed sensing parameter associated with the first distance range is used, and the bit being 0 indicates that a second compressed sensing parameter associated with the second distance range is used.

22. The method of claim 20 or 21, wherein, The 1 bit is located in the Channel State Information (CSI) or the Precoding Matrix Indicator (PMI).

23. The method of claim 22, wherein, The plurality of bits are used to indicate the location range of the terminal device.

24. The method of claim 4 or 7 or 8, wherein, The n antenna ports represent the maximum number of antenna ports that the network device can be configured with.

25. The method of any one of claims 1 to 24, wherein, The method further includes at least one of the following: The codebook parameter is determined to be the first codebook parameter associated with the first distance range, and the second distance range is associated with the second codebook parameter; The beam parameters are determined to be the first beam parameters associated with the first distance range, and the second distance range is associated with the second beam parameters.

26. A method of parameter determination, characterized by, The method is performed by a network device, and the method includes: The compressed sensing parameters are determined to be the first compressed sensing parameters associated with the first distance range; Wherein, the first distance range is smaller than the second distance range, and the second distance range is associated with a second compressed sensing parameter.

27. The method of claim 26, wherein, The compressed sensing parameters are used to recover the multiple channel information based on a portion of the channel information; and / or, the compressed sensing parameters are used to recover the multiple beam measurement information based on a portion of the beam measurement information.

28. The method of claim 27, wherein, The compressed sensing parameters include at least one of the following: a measurement matrix; a sparse transformation matrix.

29. The method of any one of claims 26 to 28, wherein, The method further includes: A first reference signal is transmitted. The first reference signal is used by the terminal device to determine first channel information and / or first beam measurement information. The first reference signal is configured with m antenna ports of the network device. The m antenna ports are a portion of the n antenna ports of the network device. Both m and n are positive integers, and m is less than n. Receive the first channel information and / or the first beam measurement information sent by the terminal device.

30. The method of claim 29, wherein, The compressed sensing parameters include at least one of the following: a measurement matrix; a sparse transformation matrix; the first channel information is any one of the following: compressed channel information measured based on the first reference signal; a sparse representation of the full channel information determined based on the measurement matrix and the first reference signal; Full-channel information determined based on the measurement matrix, the sparse transformation matrix, and the first reference signal.

31. The method of claim 29 or 30, wherein, The compressed sensing parameters include at least one of the following: a measurement matrix; a sparse transformation matrix; the first beam measurement information is any one of the following: compressed beam measurement information obtained based on the first reference signal; a sparse representation of full beam measurement information determined based on the measurement matrix and the first reference signal; Full-beam measurement information determined based on the measurement matrix, the sparse transformation matrix, and the first reference signal.

32. The method of any one of claims 26 to 31, wherein, The determination of the compressed sensing parameters as first compressed sensing parameters associated with the first distance range includes: The terminal device receives first measurement information, which is determined by the terminal device based on a second reference signal. Based on the first measurement information, the compressed sensing parameter is determined to be the first compressed sensing parameter; The second reference signal is configured with x antenna ports of the network device, wherein the x antenna ports are a portion of the n antenna ports of the network device, and x and n are both positive integers, with x being less than n.

33. The method of claim 32, wherein, The first measurement information is a measurement result obtained based on the second reference signal; or, the first measurement information is used to indicate that the terminal device is within the first distance range or the second distance range.

34. The method of claim 32 or 33, wherein, The method further includes: Send a first indication message, which is determined by the network device based on the first measurement information, and the first indication message is used to determine a first compressed sensing parameter associated with the first distance range.

35. The method of any one of claims 32 to 34, wherein, The second reference signal includes at least one of the following: Channel State Information Reference Signal (CSI-RS), Synchronization Signal Block (SSB), and Demodulation Reference Signal (DMRS).

36. The method of any one of claims 26 to 31, wherein, The determination of the compressed sensing parameters as first compressed sensing parameters associated with the first distance range includes: Send first information, which is used to indicate the antenna array information of the network device; Receive second indication information, the second indication information being determined by the terminal device based on the first information, the second indication information being used to determine a first compressed sensing parameter associated with a first distance range; Based on the second indication information, the compression sensing parameter is determined to be the first compression sensing parameter.

37. The method of claim 36, wherein, The first information includes at least one of the following: the horizontal spacing of the antenna arrays; the vertical spacing of the antenna arrays; the arrangement of the antenna arrays; and a first distance threshold corresponding to the antenna arrays.

38. The method of any one of claims 26 to 31, wherein, The determination of the compressed sensing parameters as first compressed sensing parameters associated with the first distance range includes: Receive second information, which is used to indicate the location information of the terminal device; Based on the second information, the compressed sensing parameter is determined to be the first compressed sensing parameter.

39. The method of claim 38, wherein, The method further includes: Send a third indication message, which is determined based on the second information, and the third indication message is used to determine a first compressed sensing parameter associated with a first distance range.

40. The method of claim 38 or 39, wherein, The second information includes at least one of the following: location information of the terminal device; measurement results of the terminal device, the measurement results being used to determine the location information of the terminal device; and an uplink reference signal, the uplink reference signal being used to measure the location information of the terminal device.

41. The method of any one of claims 38 to 40, wherein, The step of determining the compressed sensing parameter as the first compressed sensing parameter based on the second information includes: Based on the second information, a first location and / or a first distance are determined, wherein the first location is the location of the terminal device, and the first distance is the distance between the terminal device and the network device; When the first position is located in the communication area corresponding to the first distance range, the compressed sensing parameter is determined to be the first compressed sensing parameter; If the first distance is less than or equal to the first distance threshold, the compressed sensing parameter is determined to be the first compressed sensing parameter.

42. The method of claim 41, wherein, The first distance threshold is indicated by the network device; or, the first distance threshold is predefined.

43. The method of claim 37 or 41 or 42, wherein, The first distance threshold is any one of the following: Rayleigh distance; distance threshold determined based on antenna aperture and wavelength.

44. The method of claim 32 or 39, wherein, The first indication information and / or the third indication information are carried in Radio Resource Control (RRC) signaling, Media Access Control (MAC) control element (CE) signaling, or Downlink Control Information (DCI) signaling.

45. The method of any one of claims 32 to 44, wherein, The first indication information and / or the second indication information and / or the third indication information include: one bit or multiple bits.

46. The method of claim 45, wherein, The first indication information and / or the second indication information and / or the third indication information includes 1 bit; The bit being 0 indicates that a first compressed sensing parameter associated with the first distance range is used, and the bit being 1 indicates that a second compressed sensing parameter associated with the second distance range is used; or, the bit being 1 indicates that a first compressed sensing parameter associated with the first distance range is used, and the bit being 0 indicates that a second compressed sensing parameter associated with the second distance range is used.

47. The method of claim 45 or 46, wherein, The 1 bit is located in the Channel State Information (CSI) or the Precoding Matrix Indicator (PMI).

48. The method of claim 45, wherein, The plurality of bits are used to indicate the location range of the terminal device.

49. The method of claim 29 or 32, wherein, The n antenna ports represent the maximum number of antenna ports that the network device can be configured with.

50. The method of any one of claims 26 to 49, wherein, The method further includes at least one of the following: The codebook parameter is determined to be a first codebook parameter associated with a first distance range, and the second distance range is associated with a second codebook parameter; The beam parameters are determined to be first beam parameters associated with a first range range, and the second range range is associated with a second beam parameter.

51. A parameter determination apparatus characterized by comprising: The device includes: The first determining module is used to determine the compressed sensing parameters as first compressed sensing parameters associated with the first distance range; Wherein, the first distance range is smaller than the second distance range, and the second distance range is associated with a second compressed sensing parameter.

52. A parameter determination apparatus characterized by comprising: The device includes: The second determining module is used to determine that the compressed sensing parameter is a first compressed sensing parameter associated with the first distance range; Wherein, the first distance range is smaller than the second distance range, and the second distance range is associated with a second compressed sensing parameter.

53. A terminal device, comprising: The terminal device includes: A processor; a transceiver connected to the processor; a memory for storing executable instructions of the processor; wherein the processor is configured to load and execute the executable instructions to implement the parameter determination method as described in any one of claims 1 to 25.

54. A network device, comprising: The network device includes: A processor; a transceiver connected to the processor; a memory for storing executable instructions of the processor; wherein the processor is configured to load and execute the executable instructions to implement the parameter determination method as described in any one of claims 26 to 50.

55. A computer-readable storage medium, comprising: The computer-readable storage medium stores at least one program, which is loaded and executed by a processor to implement the parameter determination method as described in any one of claims 1 to 50.

56. A chip, comprising: The chip includes programmable logic circuits and / or program instructions, which, when the chip is running on a first node, are used to implement the parameter determination method according to any one of claims 1 to 50.

57. A computer program product, characterised in that, The computer program product is stored in a computer-readable storage medium, the processor retrieves the computer program from the computer-readable storage medium, and the processor executes the computer program product to implement the parameter determination method as described in any one of claims 1 to 50.

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