Communication method, transmitting end, receiving end, communication device and communication system

Abstract

This disclosure relates to a communication method, a transmitter, a receiver, a communication device, and a communication system. The communication method includes: configuring the transmission power of multiple transmit beams; all transmit beams are transmit beams of tapped delay line (TDL) channels; transmitting the corresponding transmit beams at the configured transmission power; wherein the transmission power of each transmit beam is determined by applying simulated beamforming to a clustered delay line (CDL) channel model. Addressing the problem that TDL channels do not contain spatial information and therefore cannot be used to simulate beamforming, this method utilizes the characteristic that CDL channels contain spatial information, applying simulated beamforming to the CDL channel to achieve the configuration of transmission power for each beam of the TDL channel.

Description

Communication methods, transmitter, receiver, communication equipment and communication system Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a communication method, a transmitting end, a receiving end, a communication device, and a communication system. Background Technology

[0002] For a base station (BS), it will transmit signals through multiple transmit beams (TX beams), and the user equipment (UE) will measure the signal power received by different transmit beams through Layer 1 Reference Signal Receiving Power (L1-RSRP).

[0003] In artificial intelligence-based beam management, AI models will be used to predict the optimal beam index based on some measurements.

[0004] Clustered Delay Line (CDL) channels are suitable for over-the-air (OTA) testing of AI beam prediction.

[0005] Summary of the Invention

[0006] Since CDL channels require multiple Angles of Arrival (AOA), beam prediction for CDL channels is challenging. To reduce the complexity of OTA testing, tap delay line (TDL) channels can be used to evaluate the accuracy of AI beam prediction. However, considering that the beam of a TDL channel has no spatiality, the accuracy of evaluation using TDL channels is low.

[0007] In a first aspect, embodiments of this disclosure provide a communication method applied at a sending end, the method comprising:

[0008] Configure the transmit power of multiple transmit beams; all transmit beams are transmit beams of tapped delay line (TDL) channels;

[0009] Transmit the corresponding transmit beam at the configured transmit power;

[0010] The transmit power of each transmit beam is determined by applying simulated beamforming to the cluster delay line (CDL) channel model.

[0011] Secondly, this disclosure also provides a communication method applied at a receiving end, the method comprising:

[0012] Measure at least one transmitted beam and obtain the relative measurement results and signal-to-noise ratio (SNR) of each of the at least one transmitted beam;

[0013] For each transmitted beam, the corresponding measurement error is configured for the measurement results of the transmitted beam based on the transmitted beam's SNR;

[0014] For each transmitted beam, the relative measurement result of the transmitted beam is used to represent the difference between the measurement results of the transmitted beam and the second reference transmitted beam; the second reference transmitted beam is determined from at least one transmitted beam.

[0015] At least one transmit beam is transmitted by a network device according to the communication method provided in the first aspect.

[0016] Thirdly, embodiments of this disclosure also provide a communication device for performing the communication method of the first aspect or the second aspect.

[0017] Fourthly, embodiments of this disclosure also provide a communication system, including a transmitter and a receiver;

[0018] The sending end is configured to implement the first aspect of the communication method, and the receiving end is configured to implement the second aspect of the communication method.

[0019] Fifthly, embodiments of this disclosure also provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the communication method as described in the first aspect of this disclosure, or to perform the communication method as described in the second aspect of this disclosure.

[0020] In a sixth aspect, embodiments of this disclosure also provide a program product, including at least one of a program and instructions, wherein when the program and instructions are executed by a communication device, they implement the communication method of the first aspect or the communication method of the second aspect.

[0021] The communication method, transmitter, receiver, communication device, communication system, and storage medium provided in this disclosure configure the transmission power of each transmit beam in a TDL channel to transmit the corresponding transmit beam at the configured transmission power. The transmission power of each transmit beam is determined by applying simulated beamforming to a CDL channel model. Addressing the issue that TDL channels do not contain spatial information and therefore cannot simulate beamforming, this disclosure utilizes the spatial information inherent in CDL channels to apply simulated beamforming to the CDL channel, thereby enabling the configuration of the transmission power for each beam in the TDL channel.

[0022] Additional aspects and advantages of embodiments of this disclosure will be set forth in part in the description which follows, and will become apparent from the description or may be learned by practice of this disclosure. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0024] Figure 1A is a schematic diagram of the architecture of the communication system provided in an embodiment of this disclosure;

[0025] Figure 1B is a schematic diagram of one of the communication methods provided in the embodiments of this disclosure;

[0026] Figure 2 is one of the interactive schematic diagrams of the communication method provided in the embodiments of this disclosure;

[0027] Figure 3A is a schematic flowchart of one of the communication methods provided in the embodiments of this disclosure;

[0028] Figure 3B is a flowchart illustrating one of the communication methods provided in this embodiment of the present disclosure;

[0029] Figure 4A is a simulated distribution diagram of the transmit beam relative to L1-RSRP according to an embodiment of the present disclosure;

[0030] Figure 4B is a simulated distribution diagram of the relative L1-RSRP of multiple sets B according to embodiments of this disclosure;

[0031] Figure 4C is a schematic diagram of the process of beam prediction for the TDL channel according to an embodiment of the present disclosure;

[0032] Figure 5A is a schematic diagram of the structure of the transmitting end proposed in an embodiment of this disclosure;

[0033] Figure 5B is a schematic diagram of the access terminal structure proposed in an embodiment of this disclosure;

[0034] Figure 6A is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure;

[0035] Figure 6B is a schematic diagram of the chip structure proposed in an embodiment of this disclosure. Detailed Implementation

[0036] This disclosure presents a communication method, communication device, and communication system.

[0037] In a first aspect, embodiments of this disclosure provide a communication method applied to a network device, the method comprising:

[0038] Configure the transmit power of multiple transmit beams; all transmit beams are transmit beams of tapped delay line (TDL) channels;

[0039] Transmit the corresponding transmit beam at the configured transmit power;

[0040] The transmit power of each transmit beam is determined by applying simulated beamforming to the cluster delay line (CDL) channel model.

[0041] In the above embodiments, the transmit power of each transmit beam in the TDL channel is configured, and the corresponding transmit beam is transmitted at the configured transmit power. The transmit power of each transmit beam is determined by applying simulated beamforming to the CDL channel model. To address the problem that the TDL channel does not contain spatial information and therefore cannot simulate beamforming, the characteristic that the CDL channel model contains spatial information is utilized to apply simulated beamforming to the CDL channel model, thereby enabling the configuration of transmit power for each beam in the TDL channel.

[0042] In conjunction with some embodiments of the first aspect, in some embodiments, for each transmit beam, the transmit power of the transmit beam is determined based on the relative analog measurement results of the transmit beam and the transmit power of the first reference transmit beam;

[0043] The first reference transmission beam is determined from multiple transmission beams;

[0044] For each transmitted beam, the relative simulated measurement result of the transmitted beam is used to represent the difference between the simulated measurement result of the transmitted beam and the first reference transmitted beam;

[0045] For each transmit beam, the simulated measurement results of the transmit beam are obtained by applying simulated beamforming to the CDL channel model.

[0046] In the above embodiments, since the relative simulation measurement result of each transmitted beam represents the difference between the simulated measurement result of the transmitted beam and the first reference transmitted beam, the transmitted power of the transmitted beam can be obtained by combining the transmitted power of the first reference transmitted beam with the relative simulation measurement result of the transmitted beam, thereby improving the efficiency of determining the transmitted power.

[0047] In conjunction with some embodiments of the first aspect, in some embodiments, for each transmitted beam, the relative measurement result of the transmitted beam is determined in the following manner:

[0048] The relative simulation measurement result of the first reference transmitted beam is 0;

[0049] The relative simulation measurement result of the first transmitted beam is the difference between the simulation measurement result of the transmitted beam and 0.

[0050] In the above embodiments, the simulated measurement result of the first reference transmission power is normalized to 0. For transmission beams other than the first reference transmission beam, the result is obtained based on the difference between the simulated measurement result of the transmission beam and 0, thereby expressing the relative simulated measurement result more intuitively.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, the first reference transmit beam is the transmit beam with the largest simulated measurement result among a plurality of transmit beams.

[0052] By using the transmit beam with the largest simulated measurement result as the first reference transmit beam, it can be ensured that the sign of the first transmit beam is the same as that of the simulated measurement result.

[0053] In conjunction with some embodiments of the first aspect, in some embodiments, for each transmitted beam, the simulated measurement results of the transmitted beam are determined in the following manner:

[0054] Generate the transmit beamforming matrix and the receive beamforming matrix;

[0055] The transmit beamforming matrix and the receive beamforming matrix are applied to the CDL channel model to obtain the first channel model.

[0056] The simulated measurement results of the transmitted beam are obtained from the first channel model.

[0057] In the above embodiments, by applying the transmit beamforming matrix and receive beamforming moment to the CDL channel model, the simulation measurement results of each transmit beam can be quickly obtained from the first model.

[0058] In conjunction with some embodiments of the first aspect, in some embodiments, the type of simulated measurement results includes Layer 1 Reference Signal Received Power (L1-RSRP).

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, the dimension of the CDL channel model is Nr*Mt, where Nr represents the number of antennas of the terminal and Mt represents the number of antennas of the network device.

[0060] In conjunction with some embodiments of the first aspect, in some embodiments, the model parameters of the CDL channel model include the model parameters of the TDL channel model corresponding to the TDL channel.

[0061] In the above embodiments, this disclosure utilizes the fact that the CDL channel model includes the model parameters of the TDL channel model, and also includes spatial angle information that the TDL channel model does not have, to realize the configuration of the beam transmit power of the TDL channel.

[0062] Secondly, this disclosure also provides a communication method applied at a receiving end, the method comprising:

[0063] Measure at least one transmitted beam and obtain the relative measurement results and signal-to-noise ratio (SNR) of each of the at least one transmitted beam;

[0064] For each transmitted beam, the corresponding measurement error is configured for the measurement results of the transmitted beam based on the transmitted beam's SNR;

[0065] For each transmit beam, the relative measurement result of the transmit beam is used to represent the difference between the measurement results of the transmit beam and the second reference transmit beam; the second reference transmit beam is determined from at least one transmit beam.

[0066] In the above embodiments, this disclosure embodiment configures personalized measurement errors for the measurement results of each transmitted beam based on the SNR of each transmitted beam.

[0067] In conjunction with some embodiments of the second aspect, in some embodiments, for each transmitted beam, the result after configuring the transmitted beam with the corresponding measurement error is as follows:

[0068] The sum of the relative measurement results and measurement error of the transmitted beam and the transmitted power of the second reference transmitted beam.

[0069] In the above embodiments, for each transmit beam, the relative measurement result and measurement error of the transmit beam and the transmit power of the second reference transmit beam are summed to quickly obtain the result after the configuration measurement error of the transmit power.

[0070] In conjunction with some embodiments of the second aspect, in some embodiments, the SNR of the second reference transmit beam is determined based on the transmit power of the second reference transmit beam and the total noise power;

[0071] The SNR of the second transmit beam is determined based on the relative measurement results of the second transmit beam and the SNR of the second reference transmit beam.

[0072] The second transmit beam refers to the transmit beam other than the second reference transmit beam in at least one transmit beam.

[0073] In the above embodiments, for the second reference transmit beam, the SNR of the second reference transmit beam is determined by the transmit power and total noise power of the second reference transmit beam. For beams other than the second reference transmit beam, the SNR of the second reference transmit beam can be quickly determined based on the relative measurement results of the second transmit beam and the SNR of the second reference transmit beam by using the logic that the relative measurement results are equal to the SNR difference.

[0074] In conjunction with some embodiments of the second aspect, in some embodiments, the measurement error of the transmitted beam is determined for each transmitted beam in the following manner:

[0075] Based on the SNR of the transmitted beam, a Gaussian distribution model related to the measurement error is constructed;

[0076] The measurement error of the transmitted beam is determined based on the random sampling results of the Gaussian distribution model.

[0077] Based on the SNR of the transmitted beam, this embodiment constructs a Gaussian distribution model related to the measurement error of the transmitted beam. By randomly sampling the Gaussian distribution model, the measurement error is determined, thus realizing personalized determination of the measurement error.

[0078] In conjunction with some embodiments of the second aspect, in some embodiments, the Gaussian distribution model is a zero-mean Gaussian distribution model that is correlated with the variance of the measurement error.

[0079] In conjunction with some embodiments of the second aspect, in some embodiments the type of measurement results includes L1-RSRP.

[0080] Thirdly, embodiments of this disclosure also provide a communication device, which is used to perform optional implementations of the first aspect or the second aspect.

[0081] Fourthly, embodiments of this disclosure also provide a communication device, including:

[0082] One or more processors;

[0083] The communication device is used to execute either the optional implementation of the first aspect or the optional implementation of the second aspect.

[0084] Fifthly, embodiments of this disclosure also provide a communication system, including a first AP and a second AP; wherein the first AP is configured to perform an optional implementation as described in the first aspect, and the second AP is configured to perform an optional implementation as described in the second aspect.

[0085] In a sixth aspect, embodiments of this disclosure also provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform an optional implementation as described in the first or second aspect.

[0086] In a seventh aspect, embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the method as described in the optional implementation of the first or second aspect.

[0087] Eighthly, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the methods described in an optional implementation of the first or second aspect.

[0088] Ninthly, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the method described according to an optional implementation of the first or second aspect above.

[0089] It is understood that the aforementioned communication devices, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0090] This disclosure provides communication methods, communication devices, and communication systems. In some embodiments, the terms "communication method" and "signal transmission method," "wireless frame transmission method," etc., can be used interchangeably, as can the terms "information processing system" and "communication system."

[0091] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0092] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0093] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0094] In the embodiments disclosed herein, "multiple" refers to two or more.

[0095] In some embodiments, the terms “at least one of A or B, at least one of A and B”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0096] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of whether there is a branch B); in some embodiments, B (execute B regardless of whether there is a branch A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, both A and B are executed. The same applies when there are more branches such as A, B, C, etc.

[0097] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execute A regardless of whether a branch B exists); in some embodiments, B (execute B regardless of whether a branch A exists); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, and C.

[0098] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0099] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0100] In some embodiments, terms such as "time / frequency" and "time-frequency domain" refer to the time domain and / or frequency domain.

[0101] In some embodiments, terms such as “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “when…”, “if…”, etc. can be used interchangeably. These descriptions all refer to the device making a corresponding action under certain objective circumstances. They do not necessarily limit the time, nor do they require the device to make a judgment action when implementing it, nor do they mean that there must be other limitations.

[0102] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0103] In some embodiments, devices, etc., may be interpreted as physical or virtual, and their names are not limited to those described in the embodiments. Terms such as “device,” “equipment,” “circuit,” “network element,” “network function,” “network device,” “function,” “node,” “unit,” “section,” “system,” “network,” “chip,” “chip system,” “entity,” and “subject” are interchangeable.

[0104] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0105] In addition, terms such as "uplink" and "downlink" can be replaced with terms corresponding to inter-terminal communication (e.g., "side"). For example, uplink channel and downlink channel can be replaced with side channel, and uplink link and downlink link can be replaced with side link.

[0106] In some embodiments, "link" can mean "connection" or "link"; in various embodiments, "connection" and "link" can be used interchangeably.

[0107] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0108] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0109] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0110] Figure 1A is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0111] As shown in Figure 1A, the communication system 100 includes a terminal 101 and a network device 102. In some embodiments, the terminal 101 includes, for example, at least one of the following: a mobile phone, a wearable device, an Internet of Things (IoT) device, a car with communication capabilities, a smart car, a tablet computer, a computer with wireless transceiver capabilities, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and a wireless terminal device in a smart home, but is not limited thereto.

[0112] In some embodiments, network device 102 may include at least one of access network device and core network device.

[0113] In some embodiments, a core network device may be a single device comprising one or more network elements, or it may be multiple devices or a group of devices, each comprising all or part of the aforementioned one or more network elements. Network elements may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), or a Next Generation Core (NGC).

[0114] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system.

[0115] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0116] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0117] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0118] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0119] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, and Ultra-Wideband. UWB, Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0120] For AI-based beam management, an AI model will be used to predict the optimal beam index based on certain measurement results. The accuracy of the beam prediction needs to be evaluated. The predicted beam index will be compared with the ideal optimal beam index, which is also referred to as the true value of the optimal beam index or the idealized Top-1 optimal beam index. The set of beams used for measurement is called set B, and the set of all beams is called set A.

[0121] In this embodiment of the disclosure, the base station (BS) transmits signals through 32 transmit (TX) beams. The user equipment (UE) measures the signal power received by different transmit beams using Layer 1 Reference Signal Receiving Power (L1-RSRP). For example, the UE measures eight beams in set B and provides these measurements as input to an AI model. The AI ​​then predicts the optimal beam among the 32 transmit beams in set A. AI beam prediction can reduce measurement time and the transmission of reference signals.

[0122] CDL channels are suitable for OTA testing of AI beam prediction. However, CDL channels require multiple angles of arrival, which is quite challenging. To reduce the complexity of OTA testing, TDL channels can be used to evaluate the accuracy of AI beam prediction. However, assuming there are 8 transmit beams in set B, each transmit beam will have a different L1-RSRP if simulated beamforming is applied. However, for TDL channels, since they do not contain spatial angle information such as angle of arrival (AOA), angle of departure (AOD), elevation, and depression, simulated beamforming cannot be applied to TDL channels. Therefore, a question arises as to how to set different transmit powers for the beams of the TDL channel (which could also be beams in set B).

[0123] Please refer to Figure 1B, which exemplarily illustrates a schematic diagram of the communication method provided in an embodiment of this disclosure. As shown, by inputting set B (not shown in the figure) and the L1-RSRP measurement values ​​of each beam index in set B into the AI ​​model, the optimal beam index in set A output by the AI ​​model is obtained. For example, if the base station transmits signals through 32 transmit beams, set B may include the beam indices of 8 transmit beams, and set A includes the beam indices of all 32 transmit beams. The UE uses the measured values ​​of the signal parameters of the 8 transmit beams in set B as input to the AI ​​model, and then the AI ​​model predicts the optimal beam among the 32 transmit beams in set A. AI beam prediction can reduce measurement time and reference signal transmission.

[0124] However, how to model the eight TX powers in the TDL channel requires further investigation (FFS, For Further Study). Furthermore, in practice, the beams in set B will have measurement errors, but the accuracy of current AI predictions is evaluated without any measurement errors; how to add measurement errors to set B is also a problem that needs to be considered.

[0125] Figure 2 is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in Figure 2, the embodiments of the present disclosure relate to a communication method, which includes:

[0126] Step S2101: The transmitting end transmits the corresponding transmission beam with the configured transmission power.

[0127] In some embodiments, the transmit power of each transmit beam is determined by applying simulated beamforming to the CDL channel model. That is, this embodiment utilizes the characteristic that the CDL channel model contains not only all the parameters of the TDL channel model but also spatial angle information not present in the TDL channel model. By applying simulated beamforming to the CDL channel model, the transmit power of each beam obtained can also be used as the transmit power of the TDL channel, achieving the effect of configuring the transmit power of the beams for the TDL channel.

[0128] In some embodiments, the transmitting end applies simulated beamforming to the CDL channel model, including:

[0129] Generate the transmit beamforming matrix b(θ,φ) and the receive beamforming matrix a(θ,φ);

[0130] The transmit beamforming matrix and receive beamforming matrix are applied to the CDL channel model.

[0131] The dimension of the CDL channel model in this embodiment is Nr*Mt, where Nr represents the number of antennas of the terminal and Mt represents the number of antennas of the network device.

[0132] In some embodiments, the transmit beamforming matrix can be represented by the following formula:

[0133] Where l and k are the antenna indices of the antenna array in the horizontal and vertical directions, respectively: l = 1, ..., N, k = 1, ..., M; N and M are both positive integers; d H and d V This represents the distance between the antenna array in the horizontal and vertical directions, where θ is the horizontal angle of the signal and φ is the vertical angle of the signal.

[0134] Apply the transmit beamforming matrix and receive beamforming matrix to the channel model H:

[0135] y = a T *H*b*x

[0136] Where x represents the received signal and y represents the transmitted signal.

[0137] The simulation measurement results of each transmit beam in the embodiments of this disclosure are obtained by applying simulated beamforming to the CDL channel model, and a simulated L1-RSRP is generated for each transmit beam, denoted as L1-RSRP. m :

[0138] L1-RSRP m =|y m | 2

[0139] In some embodiments, the transmit power of each transmit beam is determined based on the relative analog measurement results of the transmit beam and the transmit power of a first reference transmit beam. That is, for each transmit beam, the transmit power can be obtained by determining the relative analog measurement results of the transmit beam and combining them with the transmit power of the first reference transmit beam, which significantly improves the efficiency of configuring transmit power.

[0140] In some embodiments, taking the measurement result as L1-RSRP as an example, for the transmit beam i, the transmit power of the transmit beam i can be expressed as relative L1-RSRPi+X, where relative L1-RSRP refers to the relative analog measurement result of the transmit beam i, and X refers to the transmit power of the first reference transmit beam.

[0141] In some embodiments, the transmit beams of the TDL channel model can be grouped. Taking a set A of TDL channels that includes 32 transmit beams with uniformly distributed azimuth angles as an example, if each group, i.e., set B, includes 8 transmit beams, under the premise that the transmit beams are uniformly distributed in azimuth angles, it can include the following groups:

[0142] Group 1: Beam Index {#1,#5,#9,#13,#17,#21,#25,#29}

[0143] Group 2: Beam Index {#2,#6,#10,#14,#18,#22,#26,#30}

[0144] Group 3: Beam Index {#3,#7,#11,#15,#19,#23,#27,#31}

[0145] Group 4: Beam Index {#4,#8,#12,#16,#20,#24,#28,#32}

[0146] The first reference transmission beam in this embodiment can be set for set A, that is, all transmission beams correspond to the same first reference transmission beam, or it can be set for each set B, that is, the transmission beams in each group correspond to the same first reference transmission beam. It can be understood that when the first reference transmission beam is set for each group, the first reference transmission beam of the group can be any transmission beam in set A, or it can be any transmission beam in the group, as long as it is ensured that all transmission beams in the same group correspond to the same first reference transmission beam.

[0147] In this embodiment of the present disclosure, for each transmit beam, the relative analog measurement result of the transmit beam is used to represent the difference between the analog measurement result of the transmit beam and the first reference transmit beam. Taking the measurement result L1-RSRP as an example, for transmit beam i, the relative analog measurement result of the transmit beam can be obtained by subtracting the analog measurement result of the transmit beam from the analog measurement result of the first reference transmit beam.

[0148] In some embodiments, the simulated measurement result of the first reference transmitted beam can be normalized to a preset value, and then the difference between the simulated measurement result of the transmitted beam and the preset value can be used as the relative simulated measurement result of the transmitted beam. For example, the preset value can be 0.

[0149] In some embodiments, each transmit beam corresponds to a unique first reference transmit beam, which may be the optimal simulation measurement result of each transmit beam.

[0150] In some embodiments, if each group corresponds to a unique first reference transmit beam, the first reference transmit beam corresponding to each group can be based on the optimal simulation measurement result of the transmit beam in the corresponding group, or it can be the optimal simulation measurement result of each transmit beam.

[0151] Furthermore, when the optimal simulation measurement result is normalized to 0, it can mean that the relative simulation measurement results of the beam indices other than the first reference transmitted beam are all negative.

[0152] In step S2102, the receiver configures the corresponding measurement error based on the SNR of the transmitted beam.

[0153] In some embodiments, the receiver measures the transmitted beam emitted by the transmitter.

[0154] In some embodiments, the receiver obtains the relative measurement results of each transmitted beam and the SNR by measuring the transmitted beam.

[0155] For each transmitted beam, the receiver in this embodiment configures a corresponding measurement error based on the SNR of the transmitted beam. Since the SNR of different transmitted beams is different, the measurement error configured based on the measurement result of the transmitted beam is also different, thereby achieving the effect of differentiated configuration of measurement error.

[0156] In some embodiments, the relative measurement results of each measurement beam are used to represent the difference between the measurement results of the transmitted beam and a second reference transmitted beam, which is determined from at least one of the measured transmitted beams.

[0157] In some embodiments, the second reference transmit beam can be any one of the at least one transmit beams being measured, such as the transmit beam with the best measurement result, the transmit beam with the worst measurement result, etc. Embodiments of this disclosure can use the difference between the measurement results of the transmit beam and the second reference transmit beam as the relative measurement result of the measured beam.

[0158] In some embodiments, the transmitting end also obtains the transmission power of a second reference transmission beam in at least one transmission beam by measuring at least one transmission beam.

[0159] In some embodiments, for each transmit beam, the result after configuring the corresponding measurement error at the receiver for the transmit beam is as follows:

[0160] The transmission power of the second reference transmission beam and the measurement error are added to the relative measurement results of the transmission beams.

[0161] This embodiment of the disclosure takes into account that since the noise power at the receiver is relatively constant, the noise power of all transmitted beams is also relatively similar. Therefore, the difference between the measurement results of one transmitted beam and the second fundamental transmitted beam (i.e., the relative measurement result difference) can be regarded as the difference between the SNR of that transmitted beam and the second fundamental transmitted beam. Therefore:

[0162] The SNR of the second reference transmit beam is determined based on the transmit power of the second reference transmit beam and the total noise power. Specifically, the SNR of the second reference transmit beam can be the result of the difference between the transmit power of the second reference transmit beam and the total noise power.

[0163] The SNR of the second transmit beam is determined based on the relative measurement result of the second transmit beam and the SNR of the second reference transmit beam; wherein, the second transmit beam refers to any transmit beam other than the second reference transmit beam in at least one transmit beam, and the SNR of the second transmit beam can be the sum of the relative measurement result of the second transmit beam and the SNR of the second reference transmit beam.

[0164] In some embodiments, the measurement error of each transmitted beam is determined in the following manner:

[0165] Based on the SNR of the transmitted beam, a Gaussian distribution model related to the measurement error is constructed;

[0166] The measurement error of the transmitted beam is determined based on the random sampling results of the Gaussian distribution model.

[0167] In some embodiments, the Gaussian distribution model constructed in this disclosure is a zero-mean Gaussian distribution model that is related to the variance of the measurement error. The measurement error of the transmitted beam i can be expressed as: randn is a function that generates pseudo-random numbers that follow a normal distribution.

[0168] The communication method provided in this disclosure determines the transmission power of each transmit beam by applying simulated beamforming to a CDL channel model. In other words, this disclosure utilizes the characteristic that the CDL channel model contains not only all the parameters of the TDL channel model but also spatial angle information not present in the TDL channel model. By applying simulated beamforming to the CDL channel model, the transmission power of each beam obtained can also be used as the transmission power of the TDL channel, achieving the effect of configuring the transmission power of beams for the TDL channel.

[0169] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0170] In some embodiments, the terms "codebook," "codeword," and "precoding matrix" can be used interchangeably. For example, a codebook can be a collection of one or more codewords / precoding matrices.

[0171] In some embodiments, the terms "uplink", "uplink", and "physical uplink" can be used interchangeably, as can the terms "downlink", "downlink", and "physical downlink", as well as the terms "sidelink", "sidelink", "sidelink communication", "sidelink communication", "direct connection", "direct link", "direct communication", and "direct link communication".

[0172] In some embodiments, the terms “downlink control information (DCI),” “downlink (DL) assignment,” “DL DCI,” “uplink (UL) grant,” and “UL DCI” can be used interchangeably.

[0173] In some embodiments, terms such as "physical downlink shared channel (PDSCH)" and "DL data" can be used interchangeably, as can terms such as "physical uplink shared channel (PUSCH)" and "UL data".

[0174] In some embodiments, the terms “radio”, “wireless”, “radio access network (RAN)”, “access network (AN)”, and “RAN-based” can be used interchangeably.

[0175] In some embodiments, the terms "search space", "search space set", "search space configuration", "search space set configuration", "control resource set (CORESET)", and "CORESET configuration" can be used interchangeably.

[0176] In some embodiments, the terms "synchronization signal (SS)," "synchronization signal block (SSB)," "reference signal (RS)," "pilot," and "pilot signal" can be used interchangeably.

[0177] In some embodiments, terms such as “moment,” “point in time,” “time,” and “time location” can be used interchangeably, as can terms such as “duration,” “segment,” “time window,” “window,” and “time.”

[0178] In some embodiments, the terms "component carrier (CC)," "cell," "frequency carrier," and "carrier frequency" can be used interchangeably.

[0179] In some embodiments, the terms “resource block (RB)”, “physical resource block (PRB)”, “sub-carrier group (SCG)”, “resource element group (REG)”, “PRB pair”, “RB pair”, “resource element (RE)”, and “sub-carrier” can be used interchangeably.

[0180] In some embodiments, terms such as wireless access scheme and waveform can be used interchangeably.

[0181] In some embodiments, the terms "precoding", "precoder", "weight", "precoding weight", "quasi-co-location (QCL)", "transmission configuration indication (TCI) status", "spatial relation", "spatial domain filter", "transmission power", "phase rotation", "antenna port", "antenna port group", "layer", "the number of layers", "rank", "resource", "resource set", "resource group", "beam", "beam width", "beam angular degree", "antenna", "antenna element", and "panel" can be used interchangeably.

[0182] In some embodiments, the terms “frame”, “radio frame”, “subframe”, “slot”, “sub-slot”, “mini-slot”, “symbol”, “symbol”, and “transmission time interval (TTI)” can be used interchangeably.

[0183] In some embodiments, “get,” “obtain,” “receive,” “transmit,” “bidirectional transmission,” and “send and / or receive” can be used interchangeably and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining through self-processing, or autonomous implementation, among other meanings.

[0184] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0185] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0186] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (boolean), or by a comparison of numerical values ​​(e.g., a comparison with a predetermined value), but is not limited thereto.

[0187] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data after receiving it; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the sent content.

[0188] The communication method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2102. For example, step S2101 may be implemented as a separate embodiment, and step S2102 may be implemented as a separate embodiment, but are not limited thereto.

[0189] In some embodiments, steps S2101 and S2102 may be executed in an alternate order or simultaneously.

[0190] In some embodiments, other optional implementations described before or after the specification corresponding to FIG2 may be referred to.

[0191] Figure 3A is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3A, the present disclosure relates to a communication method, which includes:

[0192] Step S3101: Configure the transmit power of each transmit beam in the TDL channel model.

[0193] The optional implementation of step S3101 can be found in the optional implementation of step S2101 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0194] Step S3102: Transmit the corresponding transmit beam with the configured transmit power.

[0195] The optional implementation of step S3102 can be found in the optional implementation of step S2102 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0196] In some embodiments, the transmitting end sends a transmit beam to the receiving end, but is not limited thereto; it may also send a transmit beam to other entities.

[0197] Optionally, the aforementioned transmission beams are used by terminal 101 or network device 102 to configure and measure the error of each transmission beam. Optional implementations can be found in the optional implementations of step S2102 in Figure 2 and other related parts in the embodiments shown in Figure 2, which will not be repeated here.

[0198] The communication method involved in the embodiments of this disclosure may include at least one of steps S3101 to S3102, but is not limited thereto.

[0199] In some embodiments, steps S3101 and S3102 may be performed in an alternate order or simultaneously.

[0200] Figure 3B is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3B, the present disclosure relates to a communication method, which includes:

[0201] Step S3201: Measure at least one transmitted beam to obtain the relative measurement results and signal-to-noise ratio (SNR) of each of the at least one transmitted beam.

[0202] The optional implementation of step S3201 can be found in the optional implementation of step S2102 in Figure 2, step S3102 in Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0203] Step S3202: For each transmitted beam, configure the corresponding measurement error based on the SNR of the transmitted beam.

[0204] The optional implementation of step S3202 can be found in step S2102 of Figure 2, the optional implementation of step S3102 of Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0205] The communication method involved in the embodiments of this disclosure may include at least one of steps S3201 to S3202. For example, step S3201 may be implemented as a separate embodiment, and step S3202 may be implemented as a separate embodiment, but are not limited thereto.

[0206] In some embodiments, steps S3201 and S3202 may be performed in an alternate order or simultaneously.

[0207] The following is a solution provided by an embodiment of this disclosure for setting different transmit powers for the transmit beam of a TDL channel:

[0208] Take the TDL-C channel as an example. In the TDL-C model, the transmit power of each transmit (TX) beam can be generated by adding simulated beamforming to the CDL-C channel.

[0209] The CDL-C channel model H is generated according to 3GPP TR 38.901. The generated channel matrix H has a dimension of Nr*Mt, where Nr is the number of antennas of the user equipment (UE) and Mt is the number of antennas of the base station (BS).

[0210] Generate the transmit beamforming matrix b(θ,φ) and the receive beamforming matrix a(θ,φ).

[0211] Where l and k are the antenna indices of the antenna array in the horizontal and vertical directions, respectively: l = 1, ..., N, k = 1, ..., M; N and M are both positive integers; d H and d V This represents the distance between the antenna array in the horizontal and vertical directions, where θ is the horizontal angle of the signal and φ is the vertical angle of the signal.

[0212] Apply the transmit beamforming matrix and receive beamforming matrix to the channel model H:

[0213] y = a T *H*b*x

[0214] Where x represents the received signal and y represents the transmitted signal.

[0215] The simulation measurement results of each transmit beam in the embodiments of this disclosure are obtained by applying simulated beamforming to the CDL channel model, and a simulated L1-RSRP is generated for each transmit beam, denoted as L1-RSRP. m :

[0216] L1-RSRP m =|y m | 2

[0217] Normalize the maximum L1-RSRP in set A to 0dB, and calculate the relative L1-RSRP of all beams;

[0218] Assume that set A contains 32 transmit (TX) beams, and the angles in set A are uniformly distributed in azimuth from -60 degrees to 60 degrees, M = 32, with the following angles:

[0219] The simulated relative L1-RSRP of the 32 transmit beams is shown in Figure 4A. The maximum L1-RSRP of beam index #15 is 0dB, and the simulated relative L1-RSRP of the other transmit beams are all negative.

[0220] Choose 8 beams from 32 beams to form set B, and calculate the simulated relative L1-RSRP of these 8 transmitted beams. There are 4 possible selection schemes for set B:

[0221] Option 1: Beam index {#1,#5,#9,#13,#17,#21,#25,#29}

[0222] Option 2: Beam index {#2,#6,#10,#14,#18,#22,#26,#30}

[0223] Option 3: Beam index {#3,#7,#11,#15,#19,#23,#27,#31}

[0224] Option 4: Beam index {#4,#8,#12,#16,#20,#24,#28,#32}

[0225] Figure 4B is a distribution diagram of the simulated relative L1-RSRP of four sets B provided in the embodiments of this disclosure. It can be seen from the figure that the distribution of the simulated relative L1-RSRP of different sets B is similar.

[0226] Assuming the transmit power of the first basic transmit beam is X dBm, the transmit power of the other transmit beams can be relative to L1-RSRPi+X, where i is the beam index in set B.

[0227] The following is a solution provided by an embodiment of this disclosure regarding how to add measurement error:

[0228] The main idea is to add different measurement errors to different transmit beams, and the error value will depend on the SNR of each transmit beam.

[0229] Since the noise power of each user equipment is relatively constant, the noise power of all transmitted beams is also relatively similar. Therefore, the difference in L1-RSRP can be equal to the difference in SNR.

[0230] The embodiments disclosed herein calculate the measurement error based on different SNR conditions. At low signal-to-noise ratios (SNR), the measurement error of L1-RSRP is relatively large. For example, when the SNR is -20 dB, the measurement error may be 13.5 dB; when the SNR is -15 dB, the measurement error may be 8.5 dB. Here, we only simulate the case of an additive white Gaussian noise (AWGN) channel. For fading channels, the measurement error will be even greater.

[0231] The L1-RSRP measurement error is modeled as a Gaussian distribution with zero mean and variance. For example, when the SNR is -20 dB, the measurement error is 13.5 dB, which will be modeled as a Gaussian distribution with a mean of 0 and a variance of 13.5. Let Zi be the measurement error added for the i-th beam. randn is a function that generates pseudo-random numbers that follow a normal distribution.

[0232] Based on the different SNR conditions of different transmitted beams in set B obtained from the above steps, different measurement errors are added to different transmitted beams in set B. The L1-RSRP of the i-th beam will be adjusted to: relative L1-RSRP i +X+Z i .

[0233] Please refer to Figure 4C, which exemplarily illustrates a flowchart of beam prediction for a TDL channel according to an embodiment of the present disclosure. As shown in the figure, after the terminal obtains multiple measurement results (LI-RSRP) from measurement set B, it configures corresponding measurement errors for the measurement results using the communication method of the present disclosure embodiment. Then, it inputs the measurement results with configured measurement errors into the AI ​​model to obtain the optimal beam index in set A output by the AI ​​model.

[0234] This disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0235] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0236] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a Neural Network Processing Unit (NPU), a Tensor Processing Unit (TPU), or a Deep Learning Processing Unit (DPU).

[0237] Figure 5A is a schematic diagram of the structure of the transmitting end according to an embodiment of this disclosure. As shown in Figure 5A, the transmitting end may include at least one of a transceiver module 5101, a processing module 5102, etc. In some embodiments, the processing module 5102 is used to configure the transmission power of each transmit beam in the TDL channel model. Optionally, the transceiver module 5101 is used to perform at least one of the communication steps such as transmission and / or reception performed by the transmitting end in any of the above methods (e.g., transmitting the corresponding transmit beam at the configured transmission power), which will not be described in detail here.

[0238] Figure 5B is a schematic diagram of the receiver structure proposed in an embodiment of this disclosure. As shown in Figure 5B, the receiver may include at least one of a transceiver module 5201, a processing module 5202, etc. In some embodiments, the processing module 5202 is configured, for each transmit beam, to configure a corresponding measurement error based on the SNR of the transmit beam for the measurement results of the transmit beam. Optionally, the transceiver module 5201 is configured to perform at least one of the communication steps such as transmission and / or reception performed by the receiver in any of the above methods (e.g., measuring at least one transmit beam, obtaining the relative measurement results and signal-to-noise ratio SNR of each of the at least one transmit beam), which will not be elaborated here.

[0239] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver.

[0240] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module. Optionally, the processing module may be interchangeable with a processor.

[0241] Figure 6A is a schematic diagram of the structure of the communication device 6100 proposed in an embodiment of this disclosure. The communication device 6100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 6100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0242] As shown in Figure 6A, the communication device 6100 includes one or more processors 6101. The processor 6101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 6100 can be used to execute any of the above methods. Optionally, one or more processors 6101 can be used to invoke instructions to cause the communication device 6100 to execute any of the above methods.

[0243] In some embodiments, the communication device 6100 further includes one or more transceivers 6102. When the communication device 6100 includes one or more transceivers 6102, the transceiver 6102 performs at least one of the communication steps (e.g., step S2102, but not limited thereto) in the above method, such as sending and / or receiving, while the processor 6101 performs at least one of other steps (e.g., step S2101, but not limited thereto). In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, sending unit, transmitter, sending circuit, etc., can be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0244] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data. Optionally, all or part of the memories 6103 may be located outside the communication device 6100. In optional embodiments, the communication device 6100 may include one or more interface circuits 6104. Optionally, the interface circuits 6104 are connected to the memories 6102 and can be used to receive data from the memories 6102 or other devices, and to send data to the memories 6102 or other devices. For example, the interface circuits 6104 can read data stored in the memories 6102 and send the data to the processor 6101.

[0245] The communication device 6100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 6100 described in this disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited by FIG. 6A. The communication device may be a standalone device or a part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0246] Figure 6B is a schematic diagram of the structure of chip 6200 according to an embodiment of this disclosure. For cases where the communication device 6100 can be a chip or a chip system, please refer to the schematic diagram of chip 6200 shown in Figure 6B, but it is not limited thereto.

[0247] Chip 6200 includes one or more processors 6201. Chip 6200 is used to perform any of the methods described above.

[0248] In some embodiments, chip 6200 further includes one or more interface circuits 6202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 6200 further includes one or more memories 6203 for storing data. Optionally, all or part of the memories 6203 may be located outside chip 6200. Optionally, interface circuit 6202 is connected to memory 6203, and interface circuit 6202 can be used to receive data from memory 6203 or other devices, and interface circuit 6202 can be used to send data to memory 6203 or other devices. For example, interface circuit 6202 can read data stored in memory 6203 and send the data to processor 6201.

[0249] In some embodiments, the interface circuit 6202 performs at least one of the communication steps (e.g., step S2102, but not limited thereto) in the above-described method, such as sending and / or receiving. For example, the interface circuit 6202 performing the communication steps (e.g., sending and / or receiving) in the above-described method means that the interface circuit 6202 performs data interaction between the processor 6201, the chip 6200, the memory 6203, or the transceiver device. In some embodiments, the processor 6201 performs at least one of other steps (e.g., step S2101, but not limited thereto).

[0250] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 6100, cause the communication device 6100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0251] This disclosure also provides a program product that, when executed by the communication device 6100, causes the communication device 6100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0252] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. A communication method, characterized in that, Applied to the sending end, the method includes: Configure the transmission power of multiple transmission beams; all of the multiple transmission beams are transmission beams of tapped delay line (TDL) channels; Transmit the corresponding transmit beam at the configured transmit power; The transmit power of each transmit beam is determined by applying simulated beamforming to the cluster delay line (CDL) channel model.

2. The method according to claim 1, characterized in that, For each transmit beam, the transmit power of the transmit beam is determined based on the relative analog measurement results of the transmit beam and the transmit power of the first reference transmit beam; The first reference transmission beam is determined from the plurality of transmission beams; For each transmitted beam, the relative analog measurement result of the transmitted beam is used to represent the difference between the analog measurement result of the transmitted beam and the first reference transmitted beam; For each transmit beam, the simulated measurement results of the transmit beam are obtained by applying simulated beamforming to the CDL channel model.

3. The method according to claim 2, characterized in that, For each transmitted beam, the relative measurement results of the transmitted beam are as follows: The relative simulation measurement result of the first reference transmitted beam is 0; The relative simulated measurement result of the first transmitted beam is the difference between the simulated measurement result of the transmitted beam and 0; Wherein, the first transmission beam is a transmission beam other than the first reference transmission beam among the plurality of transmission beams.

4. The method according to claim 2 or 3, characterized in that, The first reference transmission beam is determined based on the magnitude of the simulated measurement results of the plurality of transmission beams.

5. The method according to claim 4, characterized in that, The first reference transmission beam is the transmission beam with the largest simulated measurement result among the plurality of transmission beams.

6. The method according to any one of claims 2-5, characterized in that, For each transmitted beam, the simulated measurement results of the transmitted beam are determined in the following manner: Generate the transmit beamforming matrix and the receive beamforming matrix; The transmit beamforming matrix and receive beamforming matrix are applied to the CDL channel model to obtain the first channel model. The simulated measurement results of the transmitted beam are obtained from the first channel model.

7. The method according to any one of claims 2-6, characterized in that, The types of simulation measurement results include Layer 1 Reference Signal Received Power (L1-RSRP).

8. The method according to claim 7, characterized in that, For each transmit beam, the transmit power of the transmit beam is the sum of the relative analog measurement result of the transmit beam and the transmit power of the first reference transmit beam.

9. The method according to any one of claims 1-8, characterized in that, The dimension of the CDL channel model is Nr*Mt, where Nr represents the number of antennas of the terminal and Mt represents the number of antennas of the network device.

10. The method according to any one of claims 1-9, characterized in that, The model parameters of the CDL channel model include the model parameters of the TDL channel model corresponding to the TDL channel.

11. A communication method, characterized in that, Applied to the receiving end, the method includes: Measure at least one transmitted beam and obtain the relative measurement results and signal-to-noise ratio (SNR) of each of the at least one transmitted beam; For each transmitted beam, a corresponding measurement error is configured for the measurement results of the transmitted beam based on the SNR of the transmitted beam; Wherein, for each transmitted beam, the relative measurement result of the transmitted beam is used to represent the difference between the measurement result of the transmitted beam and the measurement result of the second reference transmitted beam; the second reference transmitted beam is determined from the at least one transmitted beam.

12. The method according to claim 11, characterized in that, For each transmitted beam, the result after configuring the transmitted beam with the corresponding measurement error is as follows: The sum of the relative measurement result and measurement error of the transmitted beam and the transmitted power of the second reference transmitted beam.

13. The method according to claim 12, characterized in that, The SNR of the second reference transmit beam is determined based on the transmit power of the second reference transmit beam and the total noise power; The SNR of the second transmit beam is determined based on the relative measurement results of the second transmit beam and the SNR of the second reference transmit beam; The second transmit beam refers to the transmit beam other than the second reference transmit beam among the at least one transmit beams.

14. The method according to claim 12 or 13, characterized in that, For each transmitted beam, the measurement error of the transmitted beam is determined in the following manner: Based on the SNR of the transmitted beam, a Gaussian distribution model related to the measurement error is constructed; The measurement error of the transmitted beam is determined based on the random sampling results of the Gaussian distribution model.

15. The method according to claim 14, characterized in that, The Gaussian distribution model is a zero-mean Gaussian distribution model that is correlated with the variance of the measurement error.

16. The method according to any one of claims 11-15, characterized in that, The types of measurement results include L1-RSRP.

17. A communication device, characterized in that, The communication device is used to perform the communication method according to any one of claims 1-10, or to perform the communication method according to any one of claims 11-16.

18. A communication system, characterized in that, Includes the sending end and the receiving end; The transmitting end is configured to implement the communication method according to any one of claims 1-10, and the receiving end is configured to implement the communication method according to any one of claims 11-16.

19. A storage medium storing instructions, characterized in that, When the instruction is executed on the communication device, the communication device performs the communication method as described in any one of claims 1-10, or performs the communication method as described in any one of claims 11-16.

20. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the programs or instructions is executed by a communication device, it implements the communication method of any one of claims 1-10, or the communication method of any one of claims 11-16.

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