Probe signal selection

Abstract

The embodiment of the invention relates to detection signal selection equipment, method and device and a computer readable storage medium. The method includes: receiving, from a second device, a first probe signal for detecting a first channel characteristic of a communication channel between the first device and the second device, and a second channel characteristic of a sensing channel associated with at least one of the first device and the second device and an object to be sensed; and receiving, from the second device, a target type of the second sounding signal determined based on at least a correlation level of the first channel characteristic and the second channel characteristic. With this solution, components or resources for sensing and communication functions can be coupled more efficiently, and thus the efficiency of hardware, spectrum and energy can be increased, and delay and signal overhead can be reduced.

Description

Technical Field

[0001] Embodiments of the present disclosure relate generally to the field of telecommunications, and in particular, to devices, methods, apparatuses, and computer-readable storage media for probing signal selection. Background Art

[0002] Currently, there is a growing interest in the Joint Communication and Sensing System (JCAS) because of its advantages of reducing system size, weight and power consumption, mitigating electromagnetic interference and many application scenarios. Summary of the invention

[0003] Generally, example embodiments of the present disclosure provide a solution to probing signal selection.

[0004] In a first aspect, a first device is provided. The first device includes at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the first device to at least: receive from a second device a first detection signal for detecting a first channel characteristic of a communication channel between the first device and the second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; and receive from the second device a target type of a second detection signal determined at least based on a correlation level between the first channel characteristic and the second channel characteristic.

[0005] In a second aspect, a second device is provided. The second device includes at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the second device to at least: send a first detection signal to a first device for detecting a first channel characteristic of a communication channel between the first device and the second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; and send a target type of a second detection signal to the first device determined based at least on a correlation level between the first channel characteristic and the second channel characteristic.

[0006] In a third aspect, a method is provided. The method includes: receiving from a second device a first detection signal for detecting a first channel characteristic of a communication channel between a first device and the second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; and receiving from the second device a target type of a second detection signal determined based at least on a correlation level of the first channel characteristic and the second channel characteristic.

[0007] In a fourth aspect, a method is provided. The method includes: sending a first detection signal to a first device for detecting a first channel characteristic of a communication channel between the first device and a second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; and sending a target type of a second detection signal to the first device determined based at least on a correlation level of the first channel characteristic and the second channel characteristic.

[0008] In a fifth aspect, a device is provided, comprising: a component for receiving a first detection signal from a second device for detecting a first channel characteristic of a communication channel between a first device and the second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; and a component for receiving a target type of a second detection signal from the second device determined at least based on a correlation level between the first channel characteristic and the second channel characteristic.

[0009] In a sixth aspect, a device is provided, comprising: a component for sending a first detection signal to a first device for detecting a first channel characteristic of a communication channel between the first device and a second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; and a component for sending a target type of a second detection signal to the first device determined at least based on a correlation level between the first channel characteristic and the second channel characteristic.

[0010] In a seventh aspect, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by at least one processor of a device, the device executes the method according to the third aspect or the fourth aspect.

[0011] Other features and advantages of embodiments of the present disclosure will become apparent from the following description of specific embodiments when read in conjunction with the accompanying drawings, which illustrate, by way of example, the principles of embodiments of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Embodiments of the present disclosure are presented and explained in more detail below by way of example and their advantages with reference to the accompanying drawings, in which:

[0013] Figure 1 An example environment is shown in which example embodiments of the present disclosure may be implemented;

[0014] Figure 2 A signaling diagram illustrating a process of probing signal selection according to some example embodiments of the present disclosure is shown;

[0015] Figure 3 A signaling diagram illustrating a process of probing signal selection according to some example embodiments of the present disclosure is shown;

[0016] Figure 4A and Figure 4B The simulation results of the shared resources of JCAS are shown;

[0017] Figure 5 A flow chart illustrating an example method of probing signal selection according to some example embodiments of the present disclosure;

[0018] Figure 6 A flow chart illustrating an example method of probing signal selection according to some example embodiments of the present disclosure;

[0019] Figure 7 shows a simplified block diagram of a device suitable for implementing an example embodiment of the present disclosure; and

[0020] Figure 8 A block diagram of an example computer-readable medium is shown in accordance with some embodiments of the present disclosure.

[0021] Throughout the drawings, the same or similar reference numerals refer to the same or similar elements. DETAILED DESCRIPTION

[0022] The principle of the present disclosure will now be described with reference to some example embodiments. It should be understood that these embodiments are only for illustrative purposes and are helpful for those skilled in the art to understand and implement the present disclosure without implying any limitation on the scope of the present disclosure. The disclosure described herein can be implemented in various ways different from the ways described below.

[0023] In the following description and claims, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0024] References in this disclosure to "one embodiment," "an embodiment," "an example embodiment," etc. indicate that the described embodiment may include a particular feature, structure, or characteristic, but not every embodiment necessarily includes the particular feature, structure, or characteristic. Furthermore, such phrases do not necessarily refer to the same embodiment. Furthermore, when a particular feature, structure, or characteristic is described in conjunction with an example embodiment, it is considered that it is within the knowledge of those skilled in the art to affect such feature, structure, or characteristic in conjunction with other embodiments, whether or not explicitly described.

[0025] It should be understood that although the terms "first" and "second" etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish the functions of the various elements. As used herein, the term "and / or" includes any and all combinations of one or more of the listed terms.

[0026] The terms used herein are only used for the purpose of describing specific embodiments and are not intended to limit the exemplary embodiments. As used herein, the singular forms "a", "an", and "the" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms "include", "comprise", "have", "have", "contain", and / or "have" when used herein specify the presence of the features, elements, and / or components, etc., but do not exclude the presence or addition of one or more other features, elements, components, and / or combinations thereof.

[0027] As used in this application, the term "circuitry" may refer to one or more or all of the following: (a) Hardware circuit implementation only (such as implementation in simulation only) and / or digital circuit. (b) a combination of hardware circuitry and software, such as (where applicable): (i) a combination of analog and digital hardware circuits with software / firmware, and (ii) any portion of a hardware processor with software (including a digital signal processor) that works together to enable a device (such as a mobile phone or server) to perform various functions, software and memory, and (c) hardware circuits and / or processors, such as a microprocessor or portion of a microprocessor, that require software (e.g., firmware) for operation, but the software may not be present when it is not required for operation.

[0028] This definition of circuitry applies to all uses of this item in this application, including in any claims. As another example, as used in this application, the term circuitry also covers an implementation of only a hardware circuit or processor (or multiple processors) or a portion of a hardware circuit or processor and its accompanying software and / or firmware. For example, if applicable to the particular claim element, the term circuitry also covers a baseband integrated circuit or processor integrated circuit used in a mobile device or similar integrated circuit in a server, cellular network device, or other computing or network device.

[0029] As used herein, the term "communication network" refers to a network that complies with any suitable communication standard, such as a fifth generation (5G) system, long term evolution (LTE), advanced LTE (LTE-A), wideband code division multiple access (WCDMA), high speed packet access (HSPA), narrowband Internet of Things (NB-IoT), etc. In addition, the communication between the terminal device and the network device in the communication network can be performed according to any suitable generation communication protocol, including but not limited to the first generation (1G), second generation (2G), 2.5G, 2.75G, third generation (3G), fourth generation (4G), 4.5G, future fifth generation (5G) new radio (NR) communication protocol, and / or any other protocol currently known or developed in the future. The embodiments of the present disclosure can be applied to various communication systems. In view of the rapid development of communication, there are of course communication technologies and systems of future types that can implement the present disclosure. It should not be considered that the scope of the present disclosure is limited to the above-mentioned system.

[0030] As used herein, the term "network device" refers to a node in a communication network via which a terminal device accesses the network and receives services from it. Depending on the terminology and technology applied, a network device may refer to a base station (BS) or an access point (AP), for example, a Node B (Node B or NB), an evolved NodeB (e Node B or eNB), a NR next generation NodeB (gNB), a remote radio unit (RRU), a radio head (RH), a remote radio head (RRH), a relay, a low power node such as a femto, a pico, etc. The RAN split architecture includes a gNB-CU (centralized unit, hosting RRC, SDAP and PDCP) that controls multiple gNB-DUs (distributed units, hosting RLC, MAC and PHY). A relay node may correspond to the DU portion of an IAB node.

[0031] The term "terminal device" refers to any terminal device capable of wireless communication. As an example and not limitation, a terminal device may also be referred to as a communication device, a user equipment (UE), a user station (SS), a portable user station, a mobile station (MS) or an access terminal (AT). The terminal device may include, but is not limited to, a mobile phone, a cellular phone, a smart phone, a voice over IP (VoIP) phone, a wireless local loop phone, a tablet computer, a wearable terminal device, a personal digital assistant (PDA), a portable computer, a desktop computer, an image capture terminal device (such as a digital camera, a game terminal device, a music storage and playback device), a vehicle-mounted wireless terminal device, a wireless endpoint, a mobile station, a laptop embedded device (LEE), a laptop device (LME), a USB dongle, a smart device, a wireless customer premises equipment (CPE), an Internet of Things (IoT) device, a watch or other wearable device, a head mounted display (HMD), a vehicle, a drone, medical equipment and applications (e.g., remote surgery), industrial equipment and applications (e.g., robots and / or other wireless devices operating in the context of an industrial and / or automated processing chain), consumer electronic devices, equipment operating on a commercial and / or industrial wireless network, etc. The terminal device may also correspond to the mobile terminal (MT) part of an integrated access and backhaul (IAB) node (also known as a relay node). In the following description, the terms "terminal device", "communication device", "terminal", "user equipment" and "UE" may be used interchangeably.

[0032] Although the functions described herein may be performed in fixed and / or wireless network nodes in various example embodiments, in other example embodiments, the functions may be implemented in a user equipment device (such as a cellular phone or a tablet computer or a laptop computer or a desktop computer or a mobile IoT device or a fixed IoT device). The user equipment device may, for example, be equipped with corresponding capabilities as described appropriately in conjunction with fixed and / or wireless network nodes. The user equipment device may be a user device and / or a control device, such as a chipset or a processor, configured to control the user device when the user device is installed therein. Examples of such functions include boot server functions and / or home subscriber servers, which may be implemented in the user equipment device by providing the user equipment device with software configured to cause the user equipment device to perform from the perspective of these functions / nodes.

[0033] Figure 1 1 shows an example communication network 100 in which embodiments of the present disclosure may be implemented. Figure 1As shown, the communication network 100 may include a terminal device 110 (hereinafter may also be referred to as UE 110 or first device 110). The communication network 100 may also include a network device 120 (hereinafter may also be referred to as gNB 120 or second device 120). The terminal device 110 and the network device 120 may communicate with each other via a communication channel 102 between the terminal device 110 and the network device 120.

[0034] The communication network 100 may also include an object 130 to be sensed. The object 130 may include an active object or a passive object. For example, the object 130 may be a person, a package, or an electronic device. The network device 120 may sense the object 130 via a sensing channel 104 between the network device 120 and the object 130 by a sensing signal reflected from the object 130, and / or the terminal device 110 may sense the object 130 via a sensing channel 106 between the terminal device 110 and the object 130 by a sensing signal reflected from the object 130.

[0035] It should be understood that Figure 1 The number of network devices and terminal devices shown is given for illustrative purposes and does not imply any limitation. Communication network 100 may include any suitable number of network devices and terminal devices.

[0036] As mentioned above, there is a growing interest in JCAS, which has many potential applications, such as smart transportation, factory automation, enhanced human perception, etc. For integrated systems, performing communication and sensing functions simultaneously is beneficial to improve integration gain.

[0037] However, the challenges of the performance boundaries of JCAS can be further studied and discussed, which can be used to determine how to design the optimal waveform / probe signal for both data transmission and wireless sensing.

[0038] Currently, conventional solutions to the upper limit of sensing may include parameter estimation (e.g., Cramer-Rao lower bound and ambiguity function), object imaging resolution (e.g., Rayleigh criterion, Abbe diffraction limit), and spectrum sensing (e.g., Heisenberg's uncertainty principle), while conventional solutions to the upper limit of communication may be mainly based on Shannon's theorem. In addition, it has been proposed that adaptive communication and radar waveform design may be achieved based on information theory principles, especially mutual information and relative entropy.

[0039] In general, for the joint of communication and sensing, two types of performance bounds can be used to express the performance limit of the joint. One is based on mutual information (MI), and the other is based on the estimation accuracy of sensor parameters, such as Cramer-Rao lower bound (CRLB). CRLB can be used to describe the lower limit of parameter estimation. However, for multiple-input multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM) signals, it is not easy to apply the CRLB metric for analytical optimization because the received signal is a nonlinear function of the sensor parameters.

[0040] The MI metric can be used to select an appropriate waveform / probe signal from a set of waveforms / probe signals designed for both sensing and communication. Therefore, for JCAS, it is expected that the concept of MI can be used as an evaluation criterion for its performance.

[0041] Therefore, the present disclosure provides a solution for the selection of a detection signal. In this solution, a network device can send a first detection signal for detecting corresponding channel characteristics for both a communication channel and a sensing channel. Based at least on the correlation level of the corresponding channel characteristics, the network device can select a target type for a second detection signal.

[0042] In this way, waveform / probe selection mechanisms can be implemented based on MI to meet the requirements of communication-centric or sensing-centric or even both (joint performance) in JCAS. With this solution, components or resources for sensing and communication functions can be more efficiently coupled, and thus hardware, spectrum and energy efficiency can be increased, and latency and signal overhead can be reduced.

[0043] The following will be combined Figure 2 and Figure 3 The principle and implementation of the present invention are described in detail. Figure 2 and Figure 3 2 and 3, respectively, illustrate signaling diagrams illustrating the processes 200 and 300 of probing signal selection according to some example embodiments of the present disclosure. For the purpose of discussion, reference will be made to Figure 1 Describe processes 200 and 300. Processes 200 and 330 may involve UE 110 and gNB 120.

[0044] For example, processes 200 and 300 may relate to scenarios in a JCAS MIMO system, where UE 110 and gNB 120 may perform point-to-point communications and simultaneously sense the environment to determine the position and velocity of one or more nearby objects 130. In these scenarios, N transmit antennas and N receive antennas may be used. Communication packets may include a data payload, along with pilot signals for synchronization and channel estimation, which may be in various forms, such as a Comb Type pilot, a Block Type pilot, or a Lattice Type pilot.

[0045] In general, the framework of JCAS can focus on how to optimize the transmitted signal to maximize the overall performance of JCAS while transmitting both training and data symbols. In the scenarios associated with processes 200 and 300, MI can be used for performance metrics to study the distribution of group structure and time and space signal power masks from an information theory perspective. For example, a power mask can refer to a framework system where different antennas transmit different symbols at different energies. In the following, MI can be considered a performance indicator and a measurement method for measuring, for example, how much information can be transmitted through a known communication channel and how much reflected signals can be captured and used to sense unknown targets.

[0046] Reference now Figure 2 As shown, gNB 120 may transmit 202 a first detection signal. For example, on one hand, the first detection signal may be transmitted to UE 110 and used to detect a communication channel between UE 110 and gNB 120, and on the other hand, the first detection signal may also be used to detect a nearby object 130. For example, the first detection signal may be transmitted from gNB 120 and reflected from object 130 to gNB 120 via a sensing channel.

[0047] In some example embodiments, gNB 120 may transmit an OFDM-MIMO waveform matrix X used as a dual-function waveform based on MIMO-OFDM for JCAS. The communication symbol is a snapshot of a radar pulse.

[0048] Without loss of generality, we can consider L for each spatial stream t training symbols and L d The total length of the transmitted signal, L = L t +L d . X=[X t ,X d ] can be given by concatenating the symbols from the N spatial streams into a matrix X, where and Where X t (n) and X d (n) represent the pilot symbol and data symbol transmitted from the nth antenna, respectively.

[0049] After receiving the first sounding signal, the UE 110 may determine 204 detection information based on the first sounding signal, where the detection information may also refer to UE perception information. For example, the detection information may include a first channel characteristic of a communication channel between the UE 110 and the gNB 120, which may also be considered as channel state information (CSI) of the communication channel.

[0050] For the first channel characteristic of the communication channel, UE 110 may, for example, estimate the original channel H and the effective channel H at the available subcarriers. eff The original channel H can be expressed as The first N is the UE antenna number (port level), the second N is the gNB antenna number (port level), and the effective channel H eff can be expressed as Where S is the UE stream number and N is the gNB antenna number (port level).

[0051] In addition, based on the first detection signal, UE 110 can also calculate the UE positioning and its ephemeris information, which may consist of the UE's moving direction, moving speed and planned moving route.

[0052] It is also possible that UE 110 may determine the UE subarray (SA) index (m r ,n r ). For example, the transmitting side and the receiving side are composed of P×P subarrays (SA) respectively. The coordinates of each SA are the subarray (SA) index (m r ,n r ).

[0053] The UE 110 may then send 206 UE perception information including CSI, UE positioning and its ephemeris to the gNB 120.

[0054] For the sensing channel through which the sounding signal is reflected from the object to be sensed 130 to the gNB 120, the gNB 120 may determine a second channel characteristic of the sensing channel, which may also be referred to as the CSI of the sensing channel and is denoted by G. The CSIG may also be referred to as a composite sensing CSIG. The term "composite" means a composite channel (DL+UL for sensing) in single-base sensing. For example, the composite sensing CSIG may be obtained in the same manner as the UE CSIH.

[0055] In addition, gNB 120 may also determine a sensing / communication priority (S / C priority), which may characterize which has a higher priority. For example, if communication has a higher priority than sensing, the transmission from gNB 120 may be considered a communication-centric transmission. Conversely, if sensing has a higher priority than communication, the transmission from gNB 120 may be considered a sensing-centric transmission.

[0056] In some example embodiments, the S / C priority may be determined based on a communication specific signal-to-noise ratio (CSNR) and a sensing specific SNR (SSNR), which may focus on the SNR in the communication channel and the sensing channel, respectively.

[0057] For example, CSNR and SSNR can be defined as: Where |H n (f)| 2 is the noise power. static (f) and H object (f) are signals arriving via static path and object path respectively. Both static path signals and object path signals can be used for communication. interferer (f) refers to other dynamic objects that do not need to be sensed and can also be used for communication.

[0058] When interference exists, SSNR may be reduced, however, CSNR may be increased for better communication.The term "composite" means a composite channel (DL+UL for sensing) in monostatic sensing.

[0059] For example, if the CSNR exceeds a first threshold ratio (e.g., 20 dB) and / or the SSNR is below a second threshold ratio, the gNB 120 may determine that communication has a higher priority than sensing, which may also be referred to as a high communication priority. If the CSNR is below a first threshold ratio and / or the SSNR exceeds a second threshold ratio, the gNB 120 may determine that sensing has a higher priority than communication, which may also be referred to as a high sensing priority.

[0060] The gNB 120 may determine 208 a correlation level between a first channel characteristic of a communication channel between the UE 110 and the gNB 120 and a second channel characteristic of a sensing channel, i.e., H and G.

[0061] For example, gNB 120 may identify The correlation level between G and H, the function r = corr2(G,H) can be used to present the correlation level, the higher the r value, the higher the correlation level.

[0062] Then, gNB 120 may determine a pattern / type of a second sounding signal to be sent from gNB 120 based at least on the determined correlation level between G and H. For example, if the correlation level exceeds a threshold level, gNB 120 may generate a second sounding signal / waveform having a type suitable for joint communication and sensing. The generated sounding signal / waveform may enable the joint MI of communication and sensing to be maximized, and thus balance communication and sensing to achieve optimal performance. For example, the joint MI of communication and sensing may be expressed as: F JCAS =w r I(G(t);Y(t)|X(t))+(1-w r)I(X(t);Y(t)|H(t)) (3) Where X(t) and Y(t) are represented as the transmitted signal and the received signal, respectively. H(t) and G(t) are represented as the corresponding channel characteristics of the communication channel and the sensing channel, respectively. r It is denoted as a weighting factor or weighting coefficient of the sensing MI.

[0063] In this case, the generated second detection signal / waveform can be expressed as: where Π can be defined as the matrix variable associated with the maximized JCAS MI and can be equal to The (i, i) entry is for JCAS (JCAS), U H is the communication channel covariance matrix The right unitary matrix after the singular value decomposition (SVD) of H =diag([μ 1,1 ,…,μ i,i ,…,μ N,N ]) is where μ i,i is the diagonal matrix of singular values, U H is the communication channel covariance matrix The right unitary matrix after the singular value decomposition (SVD) of H =diag([μ 1,1 ,…,μ i,i ,…,μ N,N ]) is where μ i,i is a diagonal matrix of singular values, Z is a matrix satisfying Z H Z=I N Pre-configured matrix.

[0064] In the case where the correlation level is lower than the threshold level, the gNB 120 may determine the mode / type of the second sounding signal to be transmitted from the gNB 120 based on the S / C priority. If a high communication priority is determined, the gNB 120 may generate a second sounding signal / waveform having a type suitable for the communication. That is, the generated sounding signal / waveform may enable the MI of the communication to be maximized. For example, the MI of the communication may be expressed as: F c =I(X(t);Y(t)|H(t)) (5) Among them, X(t) and Y(t) are represented as the transmitted signal and the received signal respectively, and H(t) is represented as the channel characteristic of the communication channel.

[0065] In this case, the generated second detection signal / waveform can be expressed as:

[0066] where Ξ is defined as the matrix variable associated with the maximized communication MI and can be equal to Its (i, i)th entry is used for communication ξ ii (C), U H is the communication channel covariance matrix The right unitary matrix after the singular value decomposition (SVD) of H =diag([μ 1,1 ,...,μ i,i ,...,μ N,N ]) is where μ i,i is a diagonal matrix of singular values, Θ is a matrix satisfying Θ H Θ=I N Pre-configured matrix.

[0067] In addition, if a high sensing priority is determined, the gNB 120 may generate a second sounding signal / waveform having a type suitable for sensing. That is, the generated sounding signal / waveform may maximize the sensed MI. For example, the sensed MI may be expressed as: F s =I(G(t);Y(t)|X(t)) (7) Wherein, X(t) and Y(t) are represented as the transmitted signal and the received signal, respectively, and G(t) is represented as the channel characteristic of the sensing channel.

[0068] In this case, the generated second detection signal / waveform can be expressed as: Where Q (d) is defined as a matrix variable associated with the maximized sensing MI and can be equal to Its (i, i)th entry is for sensing q ii (S) U G is the sensing channel covariance matrix The right unitary matrix after the singular value decomposition (SVD) of G =diag([λ 1,1 ,...,λ i,i ,...,λ N,N ]) is where λ i,i is a diagonal matrix of singular values, and Ψ is a matrix satisfying Ψ H Ψ=I N Pre-configured matrix.

[0069] Alternatively or optionally, the gNB 120 may also determine 210 the precoder and norma_vector by considering the mode / type of the determined second sounding signal, for example based on the received UE perception information and the composite sensing CSI, to satisfy the total transmit power constraint and satisfy the directional beam pattern design.

[0070] For example, gNB 120 may determine that B=pinv(A) returns the Moore-Penrose pseudo-inverse of A. is a complex field.

[0071] gNB 120 can be used Determine the temporary norma vector after pre-equalization to meet the total transmit power constraint, where S is the UE stream number. Y=abs(X) returns the absolute value of each element in the array X, and D=diag(v) returns a square diagonal matrix with the elements of vector v on the main diagonal. is the field of real numbers.

[0072] gNB 120 may also determine The transmit precoding is , where N is the gNB antenna number (port level), S is the UE stream number, and RB num is the RB number, and the norma vector with norma_vec(:,rb_index)=1. / norma_vec_tem.' Where S is the UE stream number, RB num It is the RB number.

[0073] Based on the determined precoder and norma_vector and the mode / type of the second sounding signal, the gNB 120 may generate a second sounding signal with an optimal beamforming waveform and send 212 the second sounding signal to the UE 110.

[0074] Regarding another scenario in the JCAS framework, now refer to Figure 3 As shown, gNB 120 may send 302 a first sounding signal. After receiving the first sounding signal, UE 110 may determine 304 detection information based on the first sounding signal, which may also refer to UE perception information. For example, the detection information may include a first channel characteristic of a communication channel between UE 110 and gNB 120, which may also be considered a CSIH of the communication channel. Actions 302 and 304 may be similar to Figure 2Actions 202 and 204 are shown, and description may be omitted here.

[0075] Different from process 200, the first sounding signal may be reflected from the object to be sensed 130 via a sensing channel and received by UE 110. In this case, UE 110 may further determine a second channel characteristic of the sensing channel, which may also be referred to as CSI of the sensing channel and denoted by G.

[0076] UE 110 may then also determine a sensing / communication priority (S / C priority), which may characterize which has a higher priority. For example, if communication has a higher priority than sensing, the transmission from gNB 120 may be considered a communication-centric transmission. Conversely, if sensing has a higher priority than communication, the transmission from gNB 120 may be considered a sensing-centric transmission.

[0077] In some example embodiments, the S / C priority may be determined based on a communication-specific signal-to-noise ratio (CSNR) and a sensing-specific SNR (SSNR), which may focus on the SNR in the communication channel and the sensing channel, respectively. For example, UE 110 may calculate the CSNR and SSNR by using equations (1) and (2), respectively.

[0078] Similarly, if the CSNR exceeds a first threshold ratio (e.g., 20 dB) and / or the SSNR is below a second threshold ratio, the UE 110 may determine that communication has a higher priority than sensing, which may also be referred to as a high communication priority. If the CSNR is below a first threshold ratio and / or the SSNR exceeds a second threshold ratio, the UE 110 may determine that sensing has a higher priority than communication, which may also be referred to as a high sensing priority.

[0079] UE 110 may also determine a level of correlation between a first channel characteristic of a communication channel between UE 110 and gNB 120 and a second channel characteristic of a sensing channel, i.e., H and G.

[0080] For example, UE 110 may identify The correlation level between G and H, the function r = corr2(G,H) can be used to present the correlation level, the higher the r value, the higher the correlation level.

[0081] Then, UE 110 may determine 306 a pattern / type of a second sounding signal to be sent from gNB 120 based at least on the determined correlation level between G and H. For example, if the correlation level exceeds a threshold level, UE 110 may determine that a second sounding signal / waveform of a type suitable for joint communication and sensing to be sent from gNB 120 may be sent, which may maximize the joint MI of communication and sensing and thus balance communication and sensing to achieve optimal performance. For example, the joint MI of communication and sensing may be represented by equation (3).

[0082] In the case where the correlation level is lower than the threshold level, UE 110 may determine a pattern / type of a second sounding signal to be transmitted from gNB 120 based on the S / C priority. If a high communication priority is determined, UE 110 may determine a second sounding signal / waveform having a type suitable for communication to be transmitted from gNB 120, which may enable MI of communication to be maximized. For example, MI of communication may be expressed by equation (5).

[0083] In addition, if a high sensing priority is determined, UE 110 may determine a second sounding signal / waveform having a type suitable for sensing to be sent from gNB 120, which may enable the sensed MI to be maximized. For example, the sensed MI may be expressed by equation (7).

[0084] After determining the expected type / mode of the second sounding signal, UE 110 may send 308 a request for the determined type / mode of the second sounding signal to gNB 120 to indicate which type of second sounding signal is expected or appropriate for downlink transmission.

[0085] After receiving the request, the gNB 120 may generate 310 a second sounding signal having the expected type / mode indicated in the request. For example, the gNB 120 may generate a second sounding signal for joint communication and sensing by using equation (4), a second sounding signal for a communication-centric scenario by using equation (6), and a second sounding signal for a sensing-centric scenario by using equation (8).

[0086] In addition, UE 110 may also send a second channel characteristic of the sensing channel, namely CSI G, to gNB 120. Similarly, gNB 120 may also determine the precoder and norma_vector by considering the mode / type of the determined second sounding signal, for example based on the received UE sensing information and the composite sensing CSIG, to meet the total transmit power constraint and meet the directional beam pattern design.

[0087] For example, gNB 120 may determine that B=pinv(A) returns the Moore-Penrose pseudo-inverse of A. is a complex field.

[0088] gNB 120 can be used Determine the temporary norma vector after pre-equalization to meet the total transmit power constraint, where S is the UE stream number. Y=abs(X) returns the absolute value of each element in the array X, and D=diag(v) returns a square diagonal matrix with the elements of vector v on the main diagonal. is the field of real numbers.

[0089] gNB 120 may also determine The transmit precoding is , where N is the gNB antenna number (port level), S is the UE stream number, and RB num is the RB number and has a norma vector of norma_vec(:,rb_index)=1. / norma_vec_tem.' Where S is the UE stream number, RB num It is the RB number.

[0090] Based on the determined precoder and norma_vector and the mode / type of the second sounding signal, the gNB 120 may generate a second sounding signal with an optimal beamforming waveform and send 312 the second sounding signal to the UE 110.

[0091] For both processes 200 and 300, when the channel state is changed, gNB 120 may update the type of the sounding signal with a predefined period to satisfy the transmit power constraint and directional beam pattern design.

[0092] In this way, a waveform / probe selection mechanism can be implemented based on MI to meet the requirements of communication-centric or sensing-centric or even both (joint performance) in JCAS. With this solution, components or resources for sensing and communication functions can be more efficiently coupled, and thus hardware, spectrum and energy efficiency can be increased, and latency and signal overhead can be reduced.

[0093] In addition, downlink multi-user interference (MUI) can also be minimized under the design of a directional beam pattern directed towards the target of interest.

[0094] The fundamental reason for the joint gain through this joint optimization described in the present disclosure is that the integrated design is better than independent communication and sensing functions. For example, if the antenna array is divided into two groups: one group for radar and the other for communication. Compared with a shared antenna array (i.e., a more tightly coupled integrated setting), reduced spatial degrees of freedom, lower angular resolution, and interference management may cause additional overhead and cost. The unified waveform / probe signal strategy can be more tightly coupled to allow communication and sensing to be transmitted simultaneously on tightly coupled devices and in the same space, time, frequency, and resources. In this way, a signal with dual functionality can achieve a completely unified waveform here.

[0095] For example, the simulation results of the shared resources of JCAS can be found in Figure 4A and Figure 4B , where lines 411 and 412 represent maximum MI values ​​of JCAS, lines 421 and 422 represent maximum MI values ​​of communication, and lines 431 and 432 represent sensed MI values.

[0096] Based on the analysis and simulation, it can be seen that in resource sharing mode (tight coupling), the best performance can be achieved. However, the MI of communication and the MI of sensing cannot reach their maximum values ​​at the same time. If better communication or sensing performance is desired, the system can operate in non-shared resource mode (loose coupling) so that communication and sensing can reach their maximum values ​​separately.

[0097] Figure 5 FIG. 5 is a flow chart showing an example method 500 for detecting signal selection according to some example embodiments of the present disclosure. The method 500 may be performed in a manner such as Figure 1 The first device 110 is shown as being implemented. For the purpose of discussion, reference will be made to Figure 1 Method 500 is described.

[0098] At 510, the first device receives a first detection signal from the second device, the first detection signal being used to detect a first channel characteristic of a communication channel between the first device and the second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device.

[0099] At 520 , the first device receives, from the second device, a target type of a second sounding signal determined based at least on a correlation level between the first channel characteristic and the second channel characteristic.

[0100] In some example embodiments, the first device may determine, based on a first detection signal received via a communication channel, that detection information includes at least one of: first channel characteristics of the communication channel, positioning information of the first device, ephemeris information of the first device, or array information of the first device; and send the detection information to a second device.

[0101] In some example embodiments, the first device may determine a second channel characteristic of a sensing channel received via the sensing channel, the second channel characteristic being reflected from an object to be sensed; and determine a target type of a second detection signal based at least on a correlation level of the first channel characteristic and the second channel characteristic.

[0102] In some example embodiments, if the first device determines that the level of correlation between the first channel characteristic and the second channel characteristic exceeds a threshold level, the first device may determine to send a second detection signal of the first type from the second device that maximizes the combined mutual information of communication on the communication channel and sensing on the sensing channel.

[0103] In some example embodiments, if the first device determines that the correlation level between the first channel characteristic and the second channel characteristic is lower than a threshold level and communication has a higher priority than sensing, the first device may determine that a second sounding signal of a second type that enables mutual information of communication to be maximized will be sent from the second device. If the first device determines that the correlation level between the first channel characteristic and the second channel characteristic is lower than a threshold level and sensing has a higher priority than communication, the first device may determine that a second sounding signal of a second type that enables mutual information of sensing to be maximized will be sent from the second device.

[0104] In some example embodiments, the first device may determine a first signal-to-noise ratio (SNR) associated with the communication channel and a second SNR associated with the sensing channel. If the first SNR exceeds a first threshold ratio and / or the second SNR is below a second threshold ratio, the first device may determine that communication has a higher priority than sensing. If the first SNR is below a first threshold ratio and / or the second SNR exceeds a second threshold ratio, the first device may determine that sensing has a higher priority than communication.

[0105] In some example embodiments, the first device may send a request to the second device for the second device to detect a target type of a signal.

[0106] In some example embodiments, the first device may transmit the second channel characteristic of the sensing channel to the second device.

[0107] In some example embodiments, the first device comprises a terminal device and the second device comprises a network device.

[0108] Figure 6 FIG. 6 is a flow chart showing an example method 600 of detecting signal selection according to some example embodiments of the present disclosure. The method 600 may be performed in a manner such as Figure 1 The second device 120 is shown as being implemented. For the purpose of discussion, reference will be made to Figure 1 Method 600 is described.

[0109] At 610, the second device sends a first detection signal to the first device, where the first detection signal is used to detect a first channel characteristic of a communication channel between the first device and the second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device.

[0110] At 620, the second device transmits to the first device a target type of a second sounding signal determined based at least on a correlation level between the first channel characteristic and the second channel characteristic.

[0111] In some example embodiments, the second device may receive detection information from the first device including at least one of: first channel characteristics of the communication channel, positioning information of the first device, ephemeris information of the first device, or array information of the first device; and send the detection information to the second device.

[0112] In some example embodiments, the second device may determine the second channel characteristic of the sensing channel based on a first detection signal received via the sensing channel, the first detection signal being reflected from the object to be sensed.

[0113] In some example embodiments, the second device may determine the target type of the second probe signal based at least on a correlation level of the first channel characteristic and the second channel characteristic.

[0114] In some example embodiments, if the correlation level between the first channel characteristic and the second channel characteristic exceeds a threshold level, the second device may determine that a second sounding signal of a first type is to be sent from the second device that maximizes the combined mutual information of communication on the communication channel and sensing on the sensing channel.

[0115] In some example embodiments, if the second device determines that the correlation level between the first channel characteristic and the second channel characteristic is lower than a threshold level and communication has a higher priority than sensing, the second device may determine that a second sounding signal of a second type that enables mutual information of communication to be maximized will be sent from the second device. If the second device determines that the correlation level between the first channel characteristic and the second channel characteristic is lower than a threshold level and sensing has a higher priority than communication, the second device may determine that a second sounding signal of a second type that enables mutual information of sensing to be maximized will be sent from the second device.

[0116] In some example embodiments, the second device may determine a first signal-to-noise ratio (SNR) associated with the communication channel and a second SNR associated with the sensing channel. If the first SNR exceeds a first threshold ratio and / or the second SNR is below a second threshold ratio, the second device may determine that communication has a higher priority than sensing. If the first SNR is below a first threshold ratio and / or the second SNR exceeds a second threshold ratio, the second device may determine that sensing has a higher priority than communication.

[0117] In some example embodiments, the second device may receive, from the first device, a request for the second device to detect a target type of a signal.

[0118] In some example embodiments, the second device may receive information of a second channel characteristic of the sensing channel from the first device.

[0119] In some example embodiments, the second device may determine precoder and vector information associated with the second sounding signal based on the detection information and the target type; and generate the target type of the second device sounding signal based on the precoder and vector information.

[0120] In some example embodiments, the first device comprises a terminal device and the second device comprises a network device.

[0121] In some example embodiments, an apparatus capable of performing method 500 (e.g., implemented at UE 110) may include components for performing the corresponding steps of method 500. The apparatus may be implemented in any suitable form. For example, the apparatus may be implemented in a circuit or a software module.

[0122] In some example embodiments, the apparatus includes: a component for receiving a first detection signal from a second device, the first detection signal being used to detect a first channel characteristic of a communication channel between the first device and the second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; and a component for receiving a target type of a second detection signal from the second device determined at least based on a correlation level between the first channel characteristic and the second channel characteristic.

[0123] In some example embodiments, an apparatus capable of performing method 600 (e.g., implemented at gNB 120) may include components for performing the corresponding steps of method 600. The apparatus may be implemented in any suitable form. For example, the apparatus may be implemented in a circuit or a software module.

[0124] In some example embodiments, the apparatus includes: a component for receiving a first detection signal from a second device, the first detection signal being used to detect a first channel characteristic of a communication channel between the first device and the second device, and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; and a component for receiving a target type of a second detection signal from the second device determined at least based on a correlation level between the first channel characteristic and the second channel characteristic.

[0125] Figure 7 700 is a simplified block diagram of a device 700 suitable for implementing an embodiment of the present disclosure. The device 700 may be provided to implement a communication device, such as Figure 1 UE 110 and gNB 120 are shown. As shown, device 700 includes one or more processors 710, one or more memories 740 coupled to processor 710, and one or more communication modules 740 coupled to processor 710.

[0126] The communication module 740 is used for two-way communication. The communication module 740 has one or more communication interfaces to facilitate communication with one or more other modules or devices. The communication interface may represent any interface necessary for communicating with other network elements. In some example embodiments, the communication module 740 may include at least one antenna.

[0127] As non-limiting examples, processor 710 may be of any type suitable for a local technology network, and may include one or more of the following: a general purpose computer, a special purpose computer, a microprocessor, a digital signal processor (DSP), and a processor based on a multi-core processor architecture. Device 700 may have multiple processors, such as application specific integrated circuit chips, which are time-slaved to a clock that synchronizes a master processor.

[0128] The memory 720 may include one or more non-volatile memories and one or more volatile memories. Examples of non-volatile memories include, but are not limited to, read-only memory (ROM) 724, electrically programmable read-only memory (EPROM), flash memory, hard disk, compact disk (CD), digital video disk (DVD), and other magnetic storage and / or optical storage. Examples of volatile memories include, but are not limited to, random access memory (RAM) 722 and other volatile memories that will not persist over the duration of a power outage.

[0129] Computer program 730 includes computer executable instructions executed by associated processor 710. Program 730 may be stored in ROM 720. Processor 710 may perform any suitable actions and processes by loading program 730 into RAM 720.

[0130] The embodiments of the present disclosure may be implemented by a program 730, so that the device 700 may execute the Figures 2 to 6 Any process of the present disclosure discussed. The embodiments of the present disclosure may also be implemented by hardware, or a combination of software and hardware.

[0131] In some example embodiments, the program 730 may be tangibly embodied in a computer-readable medium that may be included in the device 700 (such as in the memory 720) or other storage device accessible by the device 700. The device 700 may load the program 730 from the computer-readable medium to the RAM 722 for execution. The computer-readable medium may include any type of tangible non-volatile storage device, such as ROM, EPROM, flash memory, hard disk, CD, and DVD, etc. Figure 8 An example of a computer readable medium 800 in the form of a CD or DVD is shown. The computer readable medium has a program 730 stored thereon.

[0132] Generally, various embodiments of the present disclosure may be implemented in hardware or dedicated circuits, software, logic, or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that may be executed by a controller, microprocessor, or other computing device. Although various aspects of the embodiments of the present disclosure are shown and described as block diagrams, flow charts, or using some other graphical representations, it should be understood that, as non-limiting examples, the blocks, devices, systems, techniques, or methods described herein may be implemented in hardware, software, firmware, dedicated circuits or logic, general hardware or controllers or other computing devices, or some combination thereof.

[0133] The present disclosure also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer executable instructions, such as those included in a program module, executed in a device on a target real or virtual processor to perform the above-referenced Figure 5 to Figure 6 Those instructions of described methods 500 and 600. Typically, program modules include routines, programs, libraries, objects, classes, components, or data structures, etc., that perform specific tasks or implement specific abstract data types. The functions of program modules can be combined or split between program modules as needed in various embodiments. Machine executable instructions for program modules can be executed in local or distributed devices. In distributed devices, program modules can be located in local and remote storage media.

[0134] The program code for executing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device so that the program code enables the functions / operations specified in the flow chart and / or block diagram to be implemented when executed by the processor or controller. The program code can be executed entirely on the machine, partially on the machine, as an independent software package, partially on the machine and partially on a remote machine or entirely on a remote machine or server.

[0135] In the context of the present disclosure, computer program codes or related data may be carried by any suitable carrier wave to enable a device, apparatus or processor to perform various processes and operations as described above. Examples of carrier waves include signals, and computer-readable media, etc.

[0136] The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices, or devices, or any suitable combination of the foregoing. More specific examples of computer readable storage media would include an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0137] In addition, although operations are depicted in a particular order, this should not be understood as requiring such operations to be performed in the particular order shown or in a sequential order, or performing all operations shown to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these details should not be interpreted as limitations on the scope of the present disclosure, but should be interpreted as descriptions of features that may be specific to a particular embodiment. Certain features described in the context of a separate embodiment may also be implemented in combination in a single embodiment. On the contrary, the various features described in the context of a single embodiment may also be implemented in multiple embodiments individually or in any suitable sub-combination.

[0138] Although the disclosure has been described in language specific to structural features and / or methodological acts, it should be understood that the disclosure defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A first device, comprising: at least one processor; as well as at least one memory including computer program code; The at least one memory and the computer program code are configured to, with the at least one processor, cause the first device to at least: receiving a first detection signal from a second device, the first detection signal being used to detect a first channel characteristic of a communication channel between the first device and the second device and a second channel characteristic of a sensing channel associated with at least one of the first device and the second device and an object to be sensed; as well as A target type of a second probing signal is received from the second device and is determined based at least on a correlation level between the first channel characteristic and the second channel characteristic.

2. The first device according to claim 1, wherein the first device is further caused to: Determine detection information based on the first detection signal received via the communication channel, the detection information comprising at least one of the following: a first channel characteristic of the communication channel, Positioning information of the first device; ephemeris information of the first device, or Array information of the first device; and The detection information is sent to the second device.

3. The first device of claim 2, wherein the first device is further caused to: determining a second channel characteristic of the sensing channel received via the sensing channel, the second channel characteristic being reflected from the object to be sensed; and A target type of the second detection signal is determined based on at least a correlation level between the first channel characteristic and the second channel characteristic.

4. The first device of claim 3, wherein the first device is caused to determine the target type of the second detection signal by: If it is determined that the correlation level between the first channel characteristic and the second channel characteristic exceeds a threshold level, it is determined that the second detection signal of a first type will be sent from the second device, and the second detection signal of the first type enables the combined mutual information of communication on the communication channel and sensing on the sensing channel to be maximized.

5. The first device of claim 4, wherein the first device is further caused to: If it is determined that the correlation level between the first channel characteristic and the second channel characteristic is lower than the threshold level and the communication has a higher priority than the sensing, determining that the second type of the second sounding signal that enables mutual information of the communication to be maximized will be transmitted from the second device; and If it is determined that the correlation level of the first channel characteristic and the second channel characteristic is lower than the threshold level and sensing has a higher priority than communication, it is determined that the second sounding signal of the second type that enables the sensed mutual information to be maximized will be transmitted from the second device.

6. The first device of claim 5, wherein the first device is further caused to: determining a first signal-to-noise ratio (SNR) associated with the communication channel and a second SNR associated with the sensing channel; If at least one of the following is confirmed: the first SNR exceeds a first threshold ratio, or the second SNR being lower than a second threshold ratio, determining that the communication has a higher priority than the sensing; and If at least one of the following is confirmed: the first SNR is lower than the first threshold ratio, or If the second SNR exceeds the second threshold ratio, it is determined that the sensing has a higher priority than the communication.

7. The first device of claim 3, wherein the first device is further caused to: A request is sent to the second device for the target type of the second device detection signal.

8. The first device of claim 3, wherein the first device is further caused to: A second channel characteristic of the sensing channel is sent to the second device.

9. The first device according to any one of claims 1-8, wherein the first device comprises a terminal device, and the second device comprises a network device.

10. A second device, comprising: at least one processor; as well as at least one memory including computer program code; The at least one memory and the computer program code are configured to, with the at least one processor, cause the second device to at least: sending a first detection signal to a first device for detecting a first channel characteristic of a communication channel between the first device and the second device and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; as well as A target type of a second probing signal is transmitted to the first device, the target type of which is determined based at least on a correlation level between the first channel characteristic and the second channel characteristic.

11. The second device of claim 10, wherein the second device is further caused to: Receive detection information from the first device, where the detection information includes at least one of the following: a first channel characteristic of the communication channel, Positioning information of the first device; ephemeris information of the first device, or The array information of the first device.

12. The second device of claim 11, wherein the second device is further caused to: A second channel characteristic of the sensing channel is determined based on the first detection signal received via the sensing channel, the first detection signal being reflected from the object to be sensed.

13. The second device of claim 12, wherein the second device is further caused to: A target type of the second detection signal is determined based on at least a correlation level between the first channel characteristic and the second channel characteristic.

14. The second device of claim 13, wherein the second device is caused to determine the target type of the second detection signal by: If it is determined that the correlation level between the first channel characteristic and the second channel characteristic exceeds a threshold level, it is determined that the second detection signal of a first type will be sent from the second device, and the second detection signal of the first type enables the combined mutual information of communication on the communication channel and sensing on the sensing channel to be maximized.

15. The second device of claim 14, wherein the second device is further caused to: If it is determined that the correlation level of the first channel characteristic and the second channel characteristic is lower than the threshold level and the communication has a higher priority than the sensing, determining that the second type of the second sounding signal that enables mutual information of the communication to be maximized will be transmitted from the second device; and If it is determined that the correlation level of the first and second channel characteristics is below a threshold level and the sensing has a higher priority than the communication, it is determined that the second type of the second probing signal that maximizes the sensed mutual information will be transmitted from the second device.

16. The second device of claim 15, wherein the second device is further caused to: determining a first signal-to-noise ratio (SNR) associated with the communication channel and a second SNR associated with the sensing channel; If at least one of the following is determined: the first SNR exceeds a first threshold ratio, or the second SNR being lower than a second threshold ratio, determining that the communication has a higher priority than the sensing; and If at least one of the following is determined: the first signal-to-noise ratio is lower than the first threshold ratio, or If the second SNR exceeds the second threshold ratio, it is determined that the sensing has a higher priority than the communication.

17. The second device of claim 10, wherein the second device is further caused to: A request is received from the first device for the second device to detect the target type of the signal.

18. The second device of claim 11, wherein the second device is further caused to: Information of the second channel characteristic of the sensing channel is received from the first device.

19. The second device of claim 10, wherein the second device is further caused to: Determining, based on the detection information and the target type, precoder and vector information associated with the second sounding signal; Based on the precoder and the vector information, a target type of the second device detection signal is generated.

20. The second device according to any one of claims 10-19, wherein the first device comprises a terminal device, and the second device comprises a network device.

21. A method comprising: receiving, at a first device and from a second device, a first probing signal for detecting a first channel characteristic of a communication channel between the first device and the second device and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; as well as A target type of a second probing signal is received from the second device and is determined based at least on a correlation level between the first channel characteristic and the second channel characteristic.

22. The method according to claim 21, further comprising: Based on the first detection signal received via the communication channel, detection information is determined, the detection information comprising at least one of the following: a first channel characteristic of the communication channel, Positioning information of the first device; ephemeris information of the first device, or array information of the first device; as well as The detection information is sent to the second device.

23. The method according to claim 22, further comprising: determining a second channel characteristic of the sensing channel received via the sensing channel, the second channel characteristic being reflected from the object to be sensed; as well as A target type of the second detection signal is determined based on at least a correlation level between the first channel characteristic and the second channel characteristic.

24. The method according to claim 23, wherein: Determining the target type includes: If it is determined that the correlation level between the first channel characteristic and the second channel characteristic exceeds a threshold level, it is determined that the second detection signal of a first type will be sent from the second device, and the second detection signal of the first type enables the combined mutual information of communication on the communication channel and sensing on the sensing channel to be maximized.

25. The method according to claim 24, further comprising: If it is determined that the correlation level between the first channel characteristic and the second channel characteristic is lower than the threshold level and the communication has a higher priority than the sensing, determining that the second type of the second probing signal that enables mutual information of the communication to be maximized will be transmitted from the second device; as well as If it is determined that the correlation level of the first and second channel characteristics is below a threshold level and the sensing has a higher priority than the communication, it is determined that the second type of the second probing signal that maximizes the sensed mutual information will be transmitted from the second device.

26. The method according to claim 25, further comprising: determining a first signal-to-noise ratio (SNR) associated with the communication channel and a second SNR associated with the sensing channel; If at least one of the following is determined: the first SNR exceeds a first threshold ratio, or the second SNR being lower than a second threshold ratio, determining that the communication has a higher priority than the sensing; and If at least one of the following is determined: the first SNR is lower than the first threshold ratio, or If the second SNR exceeds the second threshold ratio, it is determined that the sensing has a higher priority than the communication.

27. The method of claim 23, further comprising: A request is sent to the second device for the target type of the second device detection signal.

28. The method of claim 23, further comprising: A second channel characteristic of the sensing channel is sent to the second device.

29. The method according to any one of claims 21-28, wherein the first device comprises a terminal device, and the second device comprises a network device.

30. A method comprising: sending, from the second device to the first device, a first detection signal for detecting a first channel characteristic of a communication channel between the first device and the second device and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; as well as A target type of the second detection signal determined based on at least a correlation level between the first channel characteristic and the second channel characteristic is transmitted to the first device.

31. The method of claim 30, further comprising: Receiving detection information from the first device including at least one of the following: a first channel characteristic of the communication channel, Positioning information of the first device; ephemeris information of the first device, or Array information of the first device.

32. The method of claim 31 further comprising: A second channel characteristic of the sensing channel is determined based on the first probing signal received via the sensing channel, the first probing signal being reflected from an object to be sensed.

33. The method of claim 32, further comprising: A target type of the second probing signal is determined based at least on the correlation level of the first channel characteristic and the second channel characteristic.

34. The method of claim 33, wherein: Determining the target type includes: If it is determined that the correlation level between the first channel characteristic and the second channel characteristic exceeds a threshold level, it is determined that the second detection signal of a first type will be sent from the second device, and the second detection signal of the first type enables the combined mutual information of communication on the communication channel and sensing on the sensing channel to be maximized.

35. The method of claim 34, further comprising: If it is determined that the correlation level between the first channel characteristic and the second channel characteristic is lower than the threshold level and the communication has a higher priority than the sensing, determining that the second type of the second probing signal that enables mutual information of the communication to be maximized will be transmitted from the second device; as well as If it is determined that the correlation level of the first and second channel characteristics is below a threshold level and the sensing has a higher priority than the communication, it is determined that a second type of the second probing signal of a second type that enables the sensed mutual information to be maximized will be transmitted from the second device.

36. The method of claim 35, further comprising: determining a first signal-to-noise ratio (SNR) associated with the communication channel and a second SNR associated with the sensing channel; If at least one of the following is determined: the first SNR exceeds a first threshold ratio, or the second SNR being lower than a second threshold ratio, determining that the communication has a higher priority than the sensing; and If at least one of the following is determined: the first SNR is lower than the first threshold ratio, or If the second SNR exceeds the second threshold ratio, it is determined that the sensing has a higher priority than the communication.

37. The method of claim 30, further comprising: A request is received from the first device for the second device to detect a target type of a signal.

38. The method of claim 30, further comprising: Information of a second channel characteristic of the sensing channel is received from the first device.

39. The method of claim 30, further comprising: Determining, based on the detection information and the target type, precoder and vector information associated with the second sounding signal; Based on the precoder and the vector information, a target type of the second device detection signal is generated.

40. The method according to any one of claims 30 to 39, wherein the first device comprises a terminal device, and the second device comprises a network device.

41. An apparatus comprising: means for receiving, from a second device, a first probing signal for detecting a first channel characteristic of a communication channel between a first device and the second device and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; as well as means for receiving, from the second device, a target type of a second probing signal determined based at least on a level of correlation between the first channel characteristic and the second channel characteristic.

42. An apparatus comprising: means for sending to a first device a first detection signal for detecting a first channel characteristic of a communication channel between the first device and a second device and a second channel characteristic of a sensing channel associated with an object to be sensed and at least one of the first device and the second device; as well as means for transmitting to the first device a target type of a second probing signal determined based at least on a level of correlation between the first channel characteristic and the second channel characteristic.

43. A non-transitory computer-readable medium comprising program instructions for causing an apparatus to at least perform the method according to any one of claims 21-29.

44. A non-transitory computer-readable medium comprising program instructions for causing an apparatus to perform the method according to any one of claims 30-40.

Images