Method, apparatus, and storage medium for determining quantization values

Abstract

Embodiments of this disclosure provide a method, apparatus, and storage medium for determining quantization values. Based on associated information of quantization values ​​corresponding to at least one of I index numbers of a communication device, a quantization value corresponding to each of the I index numbers is determined, the quantization value is associated with a time-domain channel characteristic, the quantization value is indicated using X bits, and I encoded values ​​corresponding to X bits each correspond to the quantization value, where I=2 X X and I are positive integers.

Description

[Technical Field]

[0001] This disclosure relates to, but is not limited to, the field of wireless communication technology, and more particularly to methods, apparatus, and storage media for determining quantization values. [Background technology]

[0002] For user equipment (UE) using mobile communication technology, the downlink service channel can be pre-coded using either a Type I codebook or a Type II codebook. The two types of codebooks have different throughputs at the same speed, but there is a throughput intersection at a certain speed, called the switching speed. At this switching speed, the throughput is the same whether the downlink is pre-coded using a Type I codebook or a Type II codebook. If the UE speed is greater than this switching speed, pre-coding the downlink with a Type I codebook will result in higher throughput. If the UE speed is less than this switching speed, pre-coding the downlink with a Type II codebook will result in higher throughput. [Overview of the project] [Problems that the invention aims to solve]

[0003] Embodiments of this disclosure provide a method, apparatus, and storage medium for determining quantization values. [Means for solving the problem]

[0004] According to a first embodiment of the embodiments of this disclosure, a method for determining a quantized value is provided, the method is: A step of determining a quantization value corresponding to each of the I index numbers based on associated information of the quantization value corresponding to at least one of the I index numbers, wherein the quantization value is associated with a time-domain channel characteristic, A step of indicating the quantization value using X bits, wherein I encoded values ​​corresponding to X bits each correspond to the quantization value, and I = 2 X This includes steps where X and I are positive integers.

[0005] In one embodiment, the quantization difference between two quantization values ​​corresponding to adjacent index numbers is the same. The step of determining the quantization value corresponding to each of the I index numbers based on the associated information of the quantization value corresponding to at least one of the I index numbers is: A step of determining the quantization difference based on the quantization values ​​corresponding to two of the I index numbers, The process includes the step of determining the quantized value corresponding to each index number, based at least on the quantization difference.

[0006] In one embodiment, the step of determining the quantization difference based on the quantization values ​​corresponding to two of the I index numbers is: The process includes determining the quantization difference based on the quantization value corresponding to the maximum value and the minimum value of the index number, respectively.

[0007] In one embodiment, the information relating to the quantized value includes an intermediate independent variable for calculating the quantized value, and the intermediate independent variable corresponding to the quantized value is determined by a first calculation rule.

[0008] In one embodiment, the step of determining the quantization value corresponding to each of the I index numbers based on related information of the quantization value corresponding to at least one of the I index numbers is: A step of determining an intermediate independent variable corresponding to at least one of the quantization values, based on the quantization value corresponding to at least one index number, according to the first calculation rule, A step of determining an intermediate independent variable corresponding to each quantization value by a second calculation rule based on an intermediate independent variable corresponding to at least one of the quantization values, The method includes the step of determining each quantization value by the first calculation rule based on an intermediate independent variable corresponding to each of the quantization values.

[0009] In one embodiment, the step of determining an intermediate independent variable corresponding to at least one quantization value by the first calculation rule based on the quantization value corresponding to each of the at least one index numbers is: The process includes determining a first quantization value corresponding to the maximum value of the index number, a second quantization value corresponding to the minimum value of the index number, and a first intermediate independent variable corresponding to the first quantization value and a second intermediate independent variable corresponding to the second quantization value, based on the first calculation rule.

[0010] The step of determining the intermediate independent variable corresponding to each quantization value by the second calculation rule, based on the intermediate independent variable corresponding to at least one of the quantization values, is: The process includes the step of determining the intermediate independent variable corresponding to each quantization value by a second calculation rule based on the first intermediate independent variable and the second intermediate independent variable.

[0011] In one embodiment, the step of determining an intermediate independent variable corresponding to at least one quantization value by the first calculation rule based on the quantization value corresponding to each of the at least one index numbers is: The process includes determining a third quantization value corresponding to an arbitrary index number, and a third intermediate independent variable corresponding to the third quantization value based on the first calculation rule.

[0012] The step of determining the intermediate independent variable corresponding to each quantization value by the second calculation rule, based on the intermediate independent variable corresponding to at least one of the quantization values, is: The process includes determining the intermediate independent variable corresponding to each quantization value based on a third intermediate independent variable and a predetermined difference between the intermediate independent variables corresponding to each quantization value.

[0013] In one embodiment, the step of determining the quantization value corresponding to each of the I index numbers based on related information of the quantization value corresponding to at least one of the I index numbers is: The calculation includes the step of determining the quantized value corresponding to each index number by the first calculation rule based on the intermediate independent variable of the quantized value corresponding to each index number, wherein the difference in independent variables between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same, or the ratio of independent variables between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same.

[0014] In one embodiment, the I index numbers include I consecutive natural numbers.

[0015] A second embodiment of the embodiments of the present disclosure provides a device for determining quantized values, the device is A processing module configured to determine a quantization value corresponding to each of the I index numbers based on associated information of the quantization value corresponding to at least one of the I index numbers, wherein the quantization value is associated with a time-domain channel characteristic, The quantization value is indicated using X bits, and I encoded values ​​corresponding to the X bits each correspond to the quantization value, where I=2 X This includes a processing module where X and I are positive integers.

[0016] In one embodiment, the quantization difference between two quantization values ​​corresponding to adjacent index numbers is the same. The aforementioned processing module further, The quantization difference is determined based on the quantization values ​​corresponding to two of the I index numbers. The system is configured to determine the quantized value corresponding to each index number, based at least on the quantization difference.

[0017] In one embodiment, the processing module is as follows: The system is configured to determine the quantization difference based on the quantization value corresponding to the maximum value and the minimum value of the index number, respectively.

[0018] In one embodiment, the information relating to the quantized value includes an intermediate independent variable for calculating the quantized value, and the intermediate independent variable corresponding to the quantized value is determined by a first calculation rule.

[0019] In one embodiment, the processing module is as follows: Based on the quantization value corresponding to at least one index number, the first calculation rule determines an intermediate independent variable corresponding to at least one of the quantization values. Based on an intermediate independent variable corresponding to at least one of the quantization values, the intermediate independent variable corresponding to each of the quantization values ​​is determined by a second calculation rule. The system is configured to determine each quantization value according to the first calculation rule, based on an intermediate independent variable corresponding to each of the aforementioned quantization values.

[0020] In one embodiment, the processing module is as follows: Based on the first quantization value corresponding to the maximum value of the index number, the second quantization value corresponding to the minimum value of the index number, and the first calculation rule, a first intermediate independent variable corresponding to the first quantization value and a second intermediate independent variable corresponding to the second quantization value are determined. Based on the first intermediate independent variable and the second intermediate independent variable, the system is configured to determine the intermediate independent variable corresponding to each quantization value according to the second calculation rule.

[0021] In one embodiment, the processing module is as follows: A third quantization value corresponding to an arbitrary index number and a third intermediate independent variable corresponding to the third quantization value are determined based on the first calculation rule. The system is configured to determine the intermediate independent variable corresponding to each quantization value based on a third intermediate independent variable and a predetermined difference between the intermediate independent variables corresponding to each quantization value.

[0022] In one embodiment, the processing module is further configured to determine the quantized value corresponding to each index number by the first calculation rule based on the intermediate independent variable of the quantized value corresponding to each index number, wherein the independent variable difference between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same, or the independent variable ratio between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same.

[0023] In one embodiment, the I index numbers include I consecutive natural numbers.

[0024] A third embodiment of the embodiments of the present disclosure provides a communication device comprising a processor, a transceiver, memory, and an executable program stored in the memory that can be executed by the processor, wherein when the processor executes the executable program, it performs a method for determining quantization values ​​provided in the first embodiment.

[0025] A fourth embodiment of the embodiments of the present disclosure provides a computer storage medium storing an executable program, wherein when the executable program is executed by a processor, a method for determining quantization values ​​provided in the first embodiment is realized.

[0026] Embodiments of this disclosure provide a method, apparatus, and storage medium for determining quantization values. A communication device determines a quantization value corresponding to each of the I index numbers based on associated information of the quantization value corresponding to at least one of the I index numbers, the quantization value is associated with a time-domain channel characteristic, the quantization value is indicated using X bits, and I encoded values ​​corresponding to the X bits each correspond to the quantization value, where I=2 X X and I are positive integers. In this way, based on the associated information of the quantized values ​​corresponding to at least one of the I index numbers, and the quantized values ​​corresponding to each index number, the quantization of the autocorrelation value of the channel measurement result is realized, improving the efficiency in the UE direction.

[0027] Furthermore, the technical concepts provided by the embodiments of this disclosure, as well as the general description above and the detailed description below, are merely illustrative and interpretive and do not limit the embodiments of this disclosure. [Brief explanation of the drawing]

[0028] The drawings herein are incorporated into the specification and constitute part of this specification, illustrating embodiments of the invention conforming to this disclosure and are used together with the specification to illustrate the principles of embodiments of the invention. [Figure 1] This is a schematic diagram of a wireless communication system as shown in one exemplary embodiment. [Figure 2] This is a schematic flowchart illustrating the determination of quantization values ​​as shown in one exemplary embodiment. [Figure 3] This is a schematic flowchart illustrating the determination of quantization values ​​as shown in one exemplary embodiment. [Figure 4] This is a schematic flowchart illustrating the determination of quantization values ​​as shown in one exemplary embodiment. [Figure 5] This is a schematic diagram of a quantization value determination device as shown in one exemplary embodiment. [Figure 6] This is a schematic diagram of a UE as shown in one exemplary embodiment. [Figure 7] This is a schematic diagram of a communication device as shown in one exemplary embodiment. [Modes for carrying out the invention]

[0029] Herein, exemplary embodiments are described in detail, and examples are shown in the drawings. Where the following description relates to the drawings, unless otherwise stated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with embodiments of the present invention. Rather, they are merely examples of apparatus and methods consistent with some aspects of embodiments of the present invention.

[0030] The terms used in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. The singular forms “one kind,” “the said,” and “the said” used in this disclosure are also intended to include the plural form unless the context clearly indicates otherwise. The terms “and / or” as used herein refer to any combination or all possible combinations of one or more related enumerated items.

[0031] In the embodiments of this disclosure, we may use terms such as first, second, third, etc., to describe various types of information, but it should be understood that this information should not be limited to these terms. These terms are simply used to distinguish the same type of information. For example, without departing from the scope of the embodiments of this disclosure, first information may be called second information, and similarly, second information may be called first information. Depending on the context, the word “if” as used herein may be interpreted as “when,” “in the case of,” or “in response to a decision.”

[0032] Referring to Figure 1, a schematic diagram of a wireless communication system provided by an embodiment of the present disclosure is shown. As shown in Figure 1, the wireless communication system is a communication system based on cellular mobile communication technology, and the wireless communication system may include several UEs 11 and several network devices 12.

[0033] The wireless communication system may be a 4th generation mobile communication (4G) system, also known as a Long Term Evolution (LTE) system. Alternatively, the wireless communication system may be a 5G system, also known as a new radio (NR) system or a 5G NR system. Alternatively, the wireless communication system may be a next-generation system of the 5G system. The access network in a 5G system can be called an NG-RAN (New Generation-Radio Access Network), or it can be called an MTC system.

[0034] UE11 may refer to a device that provides voice and / or data connectivity to a user. UE11 can communicate with one or more core networks via a Radio Access Network (RAN), and UE11 may be an Internet of Things UE, such as a sensor device, a mobile phone (also called a "cellular" phone), or a computer with an Internet of Things UE, such as a fixed, portable, pocket, handheld, computer-integrated, or vehicle-mounted device. For example, it may be a Station (STA), subscriber unit, subscriber station, mobile station, mobile, remote station, access point, remote terminal, access terminal, user terminal, user agent, user device, or user equipment (UE). Alternatively, UE11 may be a device on an unmanned aerial vehicle. Alternatively, UE 11 may be an in-vehicle device, for example, an electronic control unit having wireless communication capabilities, or an external wireless communication device to which the electronic control unit is attached. Alternatively, UE 11 may be a roadside device, for example, a streetlamp, signal light, or other roadside device having wireless communication capabilities.

[0035] The network device 12 may include an access network device. Optionally, the network device 12 may also include a core network device. The access network device may be an evolved access device (eNB) used in a 4G system, or an access device (gNB) using a centralized distributed architecture in a 5G system. When the access network device uses a centralized distributed architecture, it typically includes a central unit (CU) and at least two distributed units (DUs). The central unit has a protocol stack for the Packet Data Convergence Protocol (PDCP) layer, the Radio Link Control (RLC) layer, and the Media Access Control (MAC) layer. The distributed units have a protocol stack for the Physical (PHY) layer, and the embodiments of this disclosure are not limited to specific implementations of the access network device.

[0036] A wireless connection can be established between the network device 12 and the UE 11 via a wireless air interface. In different embodiments, the wireless air interface is a wireless air interface based on the fourth-generation mobile communications network technology (4G) standard. Alternatively, the wireless air interface is a wireless air interface based on the fifth-generation mobile communications network technology (5G) standard, for example, the wireless air interface is a new wireless. Alternatively, the wireless air interface may be a wireless air interface based on the next-generation mobile communications network technology standard of 5G.

[0037] To optimize downlink throughput at different speeds, the UE can represent the UE's Time Domain Channel Property (TDCP) by measuring the channel based on the Tracking Reference Signal (TRS) and reporting the amplitude value of the channel's autocorrelation. The network then determines the type of pre-coding to use for the downlink based on the TDCP reported by the UE. The specific steps are as follows: 1. The UE measures the autocorrelation amplitude of the channel. 2. The UE quantizes the measured channel autocorrelation value and reports it to the network side as TDCP. 3. When the network receives a TDCP, it compares it to a threshold. If the value is greater than the threshold, it uses a Type II codebook; otherwise, it uses a Type I codebook.

[0038] On the other hand, the UE can report the amplitude values ​​of multiple channel autocorrelations to represent the time-domain channel characteristics of the UE, and the network can set the SRS transmission period value for channel interoperability based on the Sounding Reference Signal (SRS) based on the TDCP reported by the UE.

[0039] For UEs in mobile scenarios, the network must obtain the UE's current TDCP, then determine the codebook type to use in Unlink based on the TDCP, and set the SRS transmission period value. The TDCP reported by the UE is the result of quantizing the channel autocorrelation value. Achieving quantization of the channel autocorrelation value and reducing the error and performance loss caused by quantization is an urgent issue that needs to be resolved.

[0040] As shown in Figure 2, embodiments of the present disclosure provide a method for determining a quantized value, the method comprising the following steps 201-202.

[0041] In step 201, based on the associated information of the quantization value corresponding to at least one of the I index numbers, the quantization value corresponding to each of the I index numbers is determined, and the quantization value is associated with the time-domain channel characteristics.

[0042] In step 202, the quantization value is indicated using X bits, and I encoded values ​​corresponding to the X bits each correspond to the quantization value, where I=2 X X and I are positive integers.

[0043] In one possible implementation, a communication device can perform the steps of the method for determining row quantization values ​​provided by this embodiment.

[0044] In one possible implementation, the communication device includes, but is not limited to, a mobile phone or other UE.

[0045] The quantized value may be the quantum result of the channel autocorrelation value reported by the UE. That is, the quantized value is the TDCP reported by the UE.

[0046] The UE can measure the channel based on the Tracking Reference Signal (TRS), quantize the measurement results to obtain a quantized value (i.e., TDCP), and then report this quantized value to network devices (e.g., core network devices and / or access network devices). The network devices then determine the type of pre-encoding to use in the link based on the TDCP reported by the UE.

[0047] The UE can specify the quantization value using X bits, and X bits can be 2 X These different encoded values ​​can be specified, and each encoded value corresponds to one quantized value. Therefore, X bits are 2 X It is possible to specify individual different quantization values.

[0048] In one possible implementation, the I encoded values corresponding to X bits and the index number have a corresponding relationship, and the encoded value corresponding to the quantization value can be determined based on the index number of the quantization value.

[0049] In one possible implementation, the encoded value corresponding to the quantization value can be used as the index number of the quantization value.

[0050] Unless otherwise specified, this example will describe the encoded value corresponding to X bits as the index number (or called index) of the quantization value.

[0051] Exemplarily, when the encoded value corresponding to the quantization value is 0, the index number corresponding to the quantization value is 0.

[0052] In one embodiment, the I index numbers include I consecutive natural numbers.

[0053] The encoded value of X bits is used as the index number corresponding to the quantization value.

[0054] Exemplarily, the TDCP reported by the UE is the result of quantizing the channel autocorrelation value, which is quantized using X bits, and X bits are 2 X This time-domain correlation value, that is, the quantization value, can be represented, and the index number A generated by X bits i is [0, 1, ….., 2 X -1], and the subscript i represents the i-th index number, i ∈ [0, 1, ….., 2 X -1].

[0055] In one possible implementation, the related information of the quantization value can be used to determine the corresponding quantization value.

[0056] In one possible implementation, the related information of the quantization value can include, but is not limited to, the quantization value and intermediate independent variables for calculating the quantization value, etc.

[0057] The quantized value of the intermediate independent variable can be determined based on predetermined calculation rules.

[0058] In one possible implementation, the related information of quantized values ​​arranged in order of index number is autocorrelated. That is, the related information of quantized values ​​corresponding to one or more index numbers is correlated with the related information of other quantized values. The correlation may be based on the related information of quantized values ​​corresponding to one or more index numbers, and the related information of other quantized values ​​is inferred based on the correlation.

[0059] For example, if the quantized values ​​arranged in order of index numbers form an arithmetic progression, the quantized value corresponding to each index number can be determined based on the quantized values ​​corresponding to one or more index numbers.

[0060] Furthermore, for example, if the intermediate independent variables of the quantized values ​​arranged in order of index numbers are in an arithmetic progression, the intermediate independent variables of the quantized values ​​corresponding to one or more index numbers can be determined based on the intermediate independent variables corresponding to one or more index numbers, and then the quantized values ​​corresponding to each index number can be determined based on the intermediate independent variables.

[0061] After determining the quantized value corresponding to each index number, the UE can determine the encoded value corresponding to the measurement based on the measured value obtained (i.e., the measured quantized value) and the correspondence between the quantized value and the encoded value, and then report it using X bits.

[0062] Based on the received encoded value, the network-side device determines the value measured and obtained by the UE from the correspondence between the quantized value and the encoded value.

[0063] In this way, based on the associated information of the quantized values ​​corresponding to at least one of the I index numbers, and the quantized values ​​corresponding to each index number, the autocorrelation value of the channel measurement result is realized, improving the efficiency in the UE direction.

[0064] In one embodiment, the quantization difference between two quantization values ​​corresponding to adjacent index numbers is the same.

[0065] As shown in Figure 3, step 201 may include the following steps 301 to 302.

[0066] In step 301, the quantization difference is determined based on the quantization values ​​corresponding to two of the I index numbers.

[0067] In step 302, the quantized value corresponding to each index number is determined, at least based on the quantization difference.

[0068] The quantized values ​​may be in the form of an arithmetic progression. Based on the quantized values ​​corresponding to two index numbers, the quantized difference can be determined, and then the quantized value corresponding to each index number can be determined.

[0069] For example, two quantization values ​​q n and q k It is possible to give a quantization value q n The nth index number A n It is represented by the quantization value q. k The k-th index A k It is represented as follows, and in this case, the i-th index A i The quantization value q is represented by i This can be expressed by equation (1):

number

[0070] For example, two quantization values ​​q n =0.99, q k =0.94 is given, and the quantization value q n It is represented by index A0, and the quantization value q k This is represented by index number A4, and in this case, the i-th index A i The quantization value q is represented by i is q i This can be expressed as =0.94+(i-4)*(0.94-0.99) / (4-0). The quantized values ​​corresponding to each obtained index number are shown in Table (1). [Table 1]

[0071] In one embodiment, the step of determining the quantization difference based on the quantization values ​​corresponding to two of the I index numbers is: The process includes determining the quantization difference based on the quantization value corresponding to the maximum value and the minimum value of the index number, respectively.

[0072] In one possible implementation, each quantized value can be determined based on a predetermined quantization interval.

[0073] A predetermined quantization interval consists of the quantized value corresponding to the maximum value of a predetermined index number and the quantized value corresponding to the minimum value of that index number. Since the quantization difference between quantized values ​​is the same, the quantization difference can be determined based on the total number of quantized values, the quantized value corresponding to the maximum value of the index number, and the quantized value corresponding to the minimum value of the index number.

[0074] Furthermore, based on at least one of the quantization values ​​corresponding to the maximum index number and the minimum index number, as well as the quantization difference, the quantization value corresponding to each index number can be determined.

[0075] For example, if a given quantification interval is [q0,q k ] and q0 is represented by index A0, q k Index A2 X -1 This is represented as follows, and in this case, the i-th index A i The quantization value q is represented by i This can be expressed by equation (2):

number

[0076] For example, when quantizing using 3 bits, 8 autocorrelation values ​​can be represented, and index number A i The result is [0, 1, 2, ..., 7].

[0077] Given the quantization interval [0.8, 1], the i-th index A i The quantization value q is represented by i teeth

number

[0078] In one embodiment, the information relating to the quantized value includes an intermediate independent variable for calculating the quantized value, and the intermediate independent variable corresponding to the quantized value is determined by a first calculation rule.

[0079] In one possible implementation, the intermediate independent variables of quantized values ​​arranged in order of index number are autocorrelated. That is, there is a correlation between the intermediate independent variables of quantized values ​​corresponding to one or more index numbers and the intermediate independent variables of other quantized values. The correlation may be based on the intermediate independent variables of quantized values ​​corresponding to one or more index numbers, and the intermediate independent variables of other quantized values ​​can be estimated based on the correlation.

[0080] For example, if the intermediate independent variables of the quantized values ​​arranged in order of index numbers are in an arithmetic progression, the intermediate independent variables of the quantized values ​​corresponding to one or more index numbers are determined based on the intermediate independent variables corresponding to one or more index numbers, and then the intermediate independent variables corresponding to each index number are determined based on the intermediate independent variables.

[0081] In one possible implementation, there can be a correspondence between the quantized value and the corresponding intermediate independent variable.

[0082] The fact that there can be a correspondence between the quantized value and the corresponding intermediate independent variable is that The ability to estimate the corresponding intermediate independent variable based on the quantized value, It can include at least one of the following: the ability to estimate the corresponding quantization value based on the intermediate independent variable.

[0083] In one possible implementation, the correspondence between the quantized value and the corresponding intermediate independent variable may be the first computation rule.

[0084] In one possible implementation, the intermediate independent variable can be used to determine the corresponding quantized value according to a first calculation rule, and the quantized value can be used to inversely infer the intermediate independent variable corresponding to the quantized value based on the first calculation rule.

[0085] In one possible implementation, the first calculation rule can be expressed by equation f(x), where the quantization value is q i =f(x i ) can be expressed as, q ix represents the quantized value, i is q i This represents the corresponding intermediate independent variable.

[0086] In one possible realization, f(x) = J0(x), where J0(x) is a zero-order Bessel function.

[0087] In one possible realization, f(x) = 1 - x 2 That is the case.

[0088] In this way, based on the intermediate independent variables of one or more quantization values ​​corresponding to index numbers, the intermediate independent variables of other quantization values ​​can be estimated based on the correlation of the intermediate independent variables, and furthermore, each quantization value can be determined based on the intermediate independent variables corresponding to each quantization value.

[0089] In one embodiment, as shown in Figure 4, step 201 may include the following steps 401 to 403.

[0090] In step 401, based on the quantization value corresponding to at least one index number, an intermediate independent variable corresponding to at least one of the quantization values ​​is determined by the first calculation rule.

[0091] In step 402, an intermediate independent variable corresponding to each quantization value is determined by a second calculation rule based on an intermediate independent variable corresponding to at least one of the quantization values.

[0092] In step 403, each quantization value is determined by the first calculation rule based on the intermediate independent variable corresponding to each quantization value.

[0093] In one possible implementation, the intermediate independent variables of quantized values ​​arranged in order of index number are autocorrelated. That is, there is a correlation between the intermediate independent variables of one or more quantized values ​​corresponding to one or more index numbers and the intermediate independent variables of other quantized values. The correlation between intermediate independent variables may be governed by a second computation rule.

[0094] For example, if the intermediate independent variables of the quantized values ​​arranged in order of index numbers are in an arithmetic progression, the second calculation rule can be based on a calculation method using an arithmetic progression, and the calculation rule for the intermediate independent variables of the quantized values ​​corresponding to an index number can be determined based on the intermediate independent variables corresponding to one or more index numbers.

[0095] For a given quantization value corresponding to one or more index numbers, the intermediate independent variables for that quantization value can be inversely calculated using a first calculation rule. Furthermore, based on the intermediate independent variables for the quantization values ​​corresponding to one or more index numbers, the intermediate independent variables for other quantization values ​​can be estimated according to a second calculation rule based on the correlation of the intermediate independent variables, and finally, the corresponding quantization value can be calculated using the intermediate independent variables based on the first calculation rule.

[0096] In one embodiment, the step of determining an intermediate independent variable corresponding to at least one quantization value by the first calculation rule based on the quantization value corresponding to each of the at least one index numbers is: The process includes determining a first quantization value corresponding to the maximum value of the index number, a second quantization value corresponding to the minimum value of the index number, and a first intermediate independent variable corresponding to the first quantization value and a second intermediate independent variable corresponding to the second quantization value, based on the first calculation rule.

[0097] The step of determining the intermediate independent variable corresponding to each quantization value by the second calculation rule, based on the intermediate independent variable corresponding to at least one of the quantization values, is: The process includes the step of determining the intermediate independent variable corresponding to each quantization value by a second calculation rule based on the first intermediate independent variable and the second intermediate independent variable.

[0098] In one possible implementation, the second calculation rule may be a calculation rule that calculates each intermediate independent variable based on the first intermediate independent variable and the second intermediate independent variable.

[0099] In one possible implementation, the second calculation rule can be expressed by equation (3):

number

[0100] In one possible implementation, the second calculation rule can be expressed by equation (4):

number

[0101] The given quantization interval is [q0,q k ] and q0 is represented by index A0, q k is index A2 X -1 This is expressed as follows, and in this case, based on the first calculation rule, q0, q k These can be expressed by equations (5) and (6), respectively:

number

[0102] The first calculation rule is f(x) = J0(x), or f(x) = 1-x 2 Therefore, J0(x) is a zero-order Bessel function. In equations (5) and (6), the intermediate independent variables x0 and q0 correspond to q0.k The corresponding intermediate independent variable x k This can be derived and obtained, and in this case, the i-th index A i The quantization value q is represented by i teeth

number

number

[0103] For example, if we quantize using three bits, we can represent eight autocorrelation values, and index number A i The values ​​are [0, 1, 2, ..., 7].

[0104] Quantization interval [0.8, 1], f(x) = 1 - x 2 Given, 1-x 2 0 = 0.8, 1 - x k 2=1, and x0=0.4472, x k Solving for =0, in this case, the i-th index A i The quantization value q is represented by i teeth

number

[0105] In one embodiment, the step of determining an intermediate independent variable corresponding to at least one quantization value by the first calculation rule based on the quantization value corresponding to each of the at least one index numbers is: The process includes determining a third quantization value corresponding to an arbitrary index number, and a third intermediate independent variable corresponding to the third quantization value based on the first calculation rule.

[0106] The step of determining the intermediate independent variable corresponding to each quantization value by the second calculation rule, based on the intermediate independent variable corresponding to at least one of the quantization values, is: The process includes determining the intermediate independent variable corresponding to each quantization value based on a third intermediate independent variable and a predetermined difference between the intermediate independent variables corresponding to each quantization value.

[0107] In one possible implementation, for example, the intermediate independent variables of quantized values ​​arranged in order of index numbers form an arithmetic progression, and the difference between the intermediate independent variables corresponding to adjacent quantized values ​​(i.e., quantized values ​​corresponding to adjacent index numbers) is a predetermined difference. The second calculation rule can be based on a calculation method using an arithmetic progression, and the calculation rule for the intermediate independent variables of the quantized values ​​corresponding to an index number can be determined based on the intermediate independent variables corresponding to one or more index numbers.

[0108] For example, one quantization value q k Given this, it can be represented by the index A_k, in which case q based on the first calculation rule. k (7) This can be expressed as:

number

[0109] f(x) = J0(x), or f(x) = 1 - x 2 Therefore, J0(x) is a zero-order Bessel function. Equation (7) is used to inversely estimate the intermediate independent variable x_k corresponding to the quantized value. The i-th index A i The quantization value q is represented by i =f(x k+(ik)*△x) can be expressed as, where △x is a given difference, which can also be called the quantization step size.

[0110] For example: reference value q k =0.94 is given, and the reference value q k It is represented by index A4, and f(x) = 1 - x 2 The quantization step size is △x = 0.04, and 1-x 2 k = 0.94, and x k Solving = 0.2449, in that case, the i-th index A i The quantization value q is represented by i is q i =f(0.2449+(i-4)*0.04)=1-(0.2449+(i-4)*0.04) 2 It can be expressed as follows. The quantized values ​​corresponding to each obtained index number are shown in Table (4). [Table 4]

[0111] In one embodiment, the step of determining the quantization value corresponding to each of the I index numbers based on related information of the quantization value corresponding to at least one of the I index numbers is: The calculation includes the step of determining the quantized value corresponding to each index number by the first calculation rule based on the intermediate independent variable of the quantized value corresponding to each index number, wherein the difference in independent variables between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same, or the ratio of independent variables between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same.

[0112] An intermediate independent variable of quantization values corresponding to each index number can be set in advance, and based on the first calculation rule, the quantization values corresponding to each index number can be determined.

[0113] Exemplarily, a set of values of the intermediate independent variable x [x0, x1, …, x i , …, x 2 X -1 can be given. When x is substituted into f(x) based on the first calculation rule, the quantization value q i represented by the i-th index A i can be expressed as q i = f(x i ).

[0114] In a possible implementation form, the value of x satisfies x i+1 - x i = △x, where △x is the quantization step size and is the independent variable difference.

[0115] In a possible implementation form,

Number

[0116] Hereinafter, a plurality of specific examples will be provided in combination with any of the above embodiments.

[0117] The TDCP reported by the UE is the result of quantizing the channel autocorrelation value, quantized using X bits, and X bits can represent this time-domain correlation value. The generated index A X is [0, 1, ….., 2 i - 1], where the subscript i represents the i-th index, and i ∈ [0, 1, ….., 2 X - 1]. The quantization method for TDCP for i is as follows. X - 1]. The quantization method for TDCP includes the following steps.

[0118] Opt1: Uniform quantization

[0119] Alt1: Provide the quantization interval [q0, q k , represent q0 with index A0, and q k with index A2 X -1 In this case, the quantization value q represented by the i-th index A i can be expressed as i [Number] It can be expressed as

[0120] Alt2: Without providing the quantization interval, two reference values q n , q k can be provided. Represent the reference value q n with index A n , and represent the reference value q k with index A k In this case, the quantization value q represented by the i-th index A i can be expressed as i [Number] It can be expressed as

[0121] Opt2: Non-uniform quantization

[0122] Alt1: Provide the quantization interval [q0, q k , represent q0 with index A0, and q k with index A(2 X - 1). In this case, based on the first calculation rule, q0 and q k can be expressed by equations (5) and (6) respectively, where f(x) = J0(x) or f(x) = 1 - x 2 . J0(x) is the zero-order Bessel function. By equations (1) and (2), x0 and x k can be derived and obtained. In this case, the quantization value q represented by the i-th index A i can be expressed as i ​

number

number

[0123] Alt2: No quantization interval is given, reference value q k Give index A k This is expressed as follows. In this case, q is calculated based on the first calculation rule. k It can be expressed by (7), where f(x) = J0(x) or f(x) = 12x. J0(x) is the 0th order Bessel function. In equation 3), x k We will reverse-calculate the i-th index A. i The quantization value q is represented by i is q i =f(x k It can be expressed as +(ik)*△x), where △x is the quantization step size.

[0124] Alt3: Given a set of x values ​​[x0, x1, ..., x i ,…,x2 X -1 Substitute ] into the function f(x), and the value of x is x (i+1) -x i =△x or

number

[0125] Example 1: Uniform quantization of TDCP.

[0126] When quantizing using 3 bits, eight autocorrelation values ​​can be represented, and index A i The values ​​are [0, 1, 2, ..., 7].

[0127] Given the quantization interval [0.8, 1], the i-th index A i The quantization value q is represented by i teeth

number

[0128] Without specifying a quantization interval, two reference values ​​q n =0.99, q k =0.94 is given, and the reference value q n Let A0 represent this, and the reference value q k Let's represent this with index A4, in this case the i-th index A i The quantization value q is represented by i teeth

number

[0129] Example 2: Non-uniform quantization of TDCP

[0130] When quantizing using 3 bits, eight autocorrelation values ​​can be represented, and index A i The values ​​are [0, 1, 2, ..., 7].

[0131] Quantization interval [0.8, 1], f(x) = 1 - x 2 Given, 1-x 2 0 = 0.8, 1 - x 2 k =1, x0=0.4472, x kSolving for =0, in this case, the i-th index A i The quantization value q is represented by i teeth

number

[0132] Without specifying a quantization interval, the reference value q k =0.94 is given, and the reference value q k It is represented by index A4, and f(x) = 1 - x 2 The quantization step size is △x = 0.04, and 1-x 2 k = 0.94, and x k Solving = 0.2449, in this case, the i-th index A i The quantization value q is represented by i is q i =f(0.2449+(i-4)*0.04)=1-(0.2449+(i-4)*0.04) 2 It can be expressed as follows. The quantized values ​​corresponding to each obtained index number are shown in Table (4).

[0133] As shown in Figure 5, this disclosure provides a quantization value determination device 100, the device 100 is A processing module configured to determine a quantization value corresponding to each of the I index numbers based on associated information of the quantization value corresponding to at least one of the I index numbers, wherein the quantization value is associated with a time-domain channel characteristic, The system includes a processing module that uses X bits to indicate the quantization value, where I encoded values ​​corresponding to the X bits each correspond to the quantization value, and where I = 2X, and X and I are positive integers.

[0134] In one embodiment, the quantization difference between two quantization values ​​corresponding to adjacent index numbers is the same. The aforementioned processing module further, The quantization difference is determined based on the quantization values ​​corresponding to two of the I index numbers. The system is configured to determine the quantized value corresponding to each index number, based at least on the quantization difference.

[0135] In one embodiment, the processing module is as follows: The system is configured to determine the quantization difference based on the quantization value corresponding to the maximum value and the minimum value of the index number, respectively.

[0136] In one embodiment, the information relating to the quantized value includes an intermediate independent variable for calculating the quantized value, and the intermediate independent variable corresponding to the quantized value is determined by a first calculation rule.

[0137] In one embodiment, the processing module is as follows: Based on the quantization value corresponding to at least one index number, the first calculation rule determines an intermediate independent variable corresponding to at least one of the quantization values. Based on an intermediate independent variable corresponding to at least one of the quantization values, the intermediate independent variable corresponding to each of the quantization values ​​is determined by a second calculation rule. The system is configured to determine each quantization value according to the first calculation rule, based on an intermediate independent variable corresponding to each of the aforementioned quantization values.

[0138] In one embodiment, the processing module is as follows: Based on the first quantization value corresponding to the maximum value of the index number, the second quantization value corresponding to the minimum value of the index number, and the first calculation rule, a first intermediate independent variable corresponding to the first quantization value and a second intermediate independent variable corresponding to the second quantization value are determined. Based on the first intermediate independent variable and the second intermediate independent variable, the system is configured to determine the intermediate independent variable corresponding to each quantization value according to the second calculation rule.

[0139] In one embodiment, the processing module is as follows: A third quantization value corresponding to an arbitrary index number and a third intermediate independent variable corresponding to the third quantization value are determined based on the first calculation rule. The system is configured to determine the intermediate independent variable corresponding to each quantization value based on a third intermediate independent variable and a predetermined difference between the intermediate independent variables corresponding to each quantization value.

[0140] In one embodiment, the processing module is further configured to determine the quantized value corresponding to each index number by the first calculation rule based on the intermediate independent variable of the quantized value corresponding to each index number, wherein the independent variable difference between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same, or the independent variable ratio between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same.

[0141] In one embodiment, the I index numbers include I consecutive natural numbers. Processor and Includes memory for storing instructions that can be executed by the processor, Here, the processor is configured to implement the method for determining quantization values ​​of any embodiment of the present disclosure when executing an executable instruction.

[0142] In one embodiment, the communication device may include, but is not limited to, a network control relay and at least one network device. The network device may include a core network device or an access network device. The access network device may include a base station, and the core network device may include an AMF or SMF.

[0143] The processor may include various types of storage media, which are non-temporary computer storage media that can continue to store information stored on them even after the user equipment has been powered off.

[0144] The processor may be connected to memory via a bus or the like in order to read executable programs stored in memory, such as in at least one of the methods for determining each of the quantification values ​​described above.

[0145] Embodiments of the present disclosure provide a computer storage medium storing a computer-executable program, and when the executable program is run by a processor, a method for determining each quantization value of any embodiment of the present disclosure is realized. For example, at least one of the above-described methods for determining each quantization value.

[0146] The specific methods by which each module of the apparatus or storage medium in the above embodiment performs operations have already been described in detail in the embodiment of the said method, and therefore will not be described in detail here.

[0147] Figure 6 is a block diagram of the UE800 as shown in an exemplary embodiment. For example, the UE800 may be a mobile phone, computer, digital broadcasting user equipment, messaging device, game console, tablet device, medical device, fitness device, personal digital assistant, etc.

[0148] Referring to Figure 6, the UE 800 may include one or more of the following components: processing component 802, memory 804, power supply component 806, multimedia component 808, audio component 810, input / output (I / O) interface 812, sensor component 814, and communication component 816.

[0149] The processing component 802 typically controls the overall operation of the UE800, such as operations related to display, telephone calling, data communication, camera operation, and recording. The processing component 802 may include one or more processors 820 for executing instructions to generate all or some of the steps of the above method. The processing component 802 may also include one or more modules to facilitate interaction with other components. For example, the processing component 802 may include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

[0150] Memory 804 is configured to store various types of data to support operations on the UE800. Examples of this data include instructions for any application program or method to operate on the UE800, contact data, phonebook data, messages, images, videos, etc. Memory 804 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0151] The power supply component 806 provides power to each type of component of the UE800. The power supply component 806 may include a power management system, one or more power supplies, and other components related to the generation, management, and distribution of power for the UE800.

[0152] The multimedia component 808 includes a screen that provides an output interface between the UE800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensors may not only sense the boundaries of a touch or slide operation but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes one front camera and / or a rear camera. When the UE800 is in an operating mode such as shooting mode or video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a single fixed optical lens system or may have a focal length and optical zoom capability.

[0153] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC) configured to receive external audio signals when the UE 800 is in an operating mode such as calling mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 804 or transmitted via communication component 816. In some embodiments, the audio component 810 further includes a speaker for outputting audio signals.

[0154] The I / O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to, a home button, volume buttons, a start button, and a lock button.

[0155] The sensor component 814 includes one or more sensors to provide the UE800 with various forms of state evaluation. For example, the sensor component 814 can detect the on / off state of the device 800, the relative positioning of components, for example, the display and keypad of the UE800, and the sensor component 814 can further detect changes in the position of the UE800 or one of its components, the presence or absence of contact between the user and the UE800, the direction and position or acceleration / deceleration of the UE800, and temperature changes of the UE800. The sensor component 814 may also include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor component 814 may further include an optical sensor, such as a CMOS or CCD image sensor used in imaging applications. In some embodiments, the sensor component 814 may further include an accelerometer, gyroscope, magnetic sensor, pressure sensor, or temperature sensor.

[0156] The communication component 816 is configured to facilitate wired or wireless communication between the UE800 and other devices. The UE800 can access wireless networks based on communication standards, such as Wi-Fi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency recognition (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0157] In exemplary embodiments, the UE800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the method described above.

[0158] In exemplary embodiments, a non-temporary computer-readable storage medium containing instructions, for example, a memory 804 containing instructions, may be further provided, the instructions being executed by the processor 820 of the UE800 to generate the method described above. For example, the non-temporary computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, or optical data storage device.

[0159] As shown in Figure 7, one embodiment of the present disclosure shows the structure of an access device. For example, the communication device 900 may be provided as a network device. The communication device may be any of the above-described access network elements and / or network functions.

[0160] Referring to Figure 7, the communication device 900 includes a processing component 922 which includes one or more processors, and a memory resource represented by memory 932 for storing instructions executed by the processing component 922, such as application programs. The application programs stored in memory 932 may include one or more modules, each corresponding to a set of instructions. The processing component 922 is configured to execute instructions to carry out the method for determining each of the quantization values ​​described above.

[0161] The electronic device 900 may further include a power component 926 configured to perform power management for the communication device 900, a wired or wireless network interface 950 configured to connect the communication device 900 to a network, and an input / output (I / O) interface 958. The communication device 900 can operate an operating system stored in memory 932 such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or similar.

[0162] Unless contradictory, each step in the above-described embodiment or example can be performed as an independent embodiment, each step can be arbitrarily combined, for example, a configuration in which some steps are omitted from a particular embodiment or example can also be performed as an independent embodiment, the order of each step in a particular embodiment or example can be changed, and the selectable methods or selectable examples in a particular embodiment or example can be arbitrarily combined, and furthermore, various embodiments or examples can be arbitrarily combined. For example, some or all of the steps in each embodiment or example can be arbitrarily combined, and a particular embodiment or example can be arbitrarily combined with selectable embodiments or selectable examples of other embodiments or examples.

[0163] Those skilled in the art will readily conceive of other embodiments of this disclosure after reviewing the specification and practicing the inventions disclosed herein. This disclosure is intended to cover any variations, uses, or adaptive changes of the invention, which include common or conventional technical means in the art not disclosed herein, in accordance with the general principles of the invention. The specification and examples are to be considered merely illustrative, and the true scope and spirit of the invention are indicated by the following claims.

[0164] Furthermore, the present invention is not limited to the exact structure described above and shown in the drawings, and various modifications and changes can be made as long as they do not deviate from that scope. The scope of the present invention is limited only to the scope of the appended claims.

Claims

1. A method for determining quantization values, A step of determining a quantization value corresponding to each of the I index numbers based on related information of the quantization value corresponding to at least one of the I index numbers, wherein the quantization value is associated with a time-domain channel characteristic, A step of indicating the quantization value using X bits, wherein I encoded values ​​corresponding to X bits each correspond to the quantization value, and I = 2 Ｘ Steps where X and I are positive integers, including, A method for determining quantized values, characterized by the features described above.

2. The quantization difference between two quantization values ​​corresponding to adjacent index numbers is the same. The step of determining the quantization value corresponding to each of the I index numbers based on the associated information of the quantization value corresponding to at least one of the I index numbers is: A step of determining the quantization difference based on the quantization values ​​corresponding to two of the I index numbers, The steps include determining the quantized value corresponding to each index number based on at least the quantization difference, including, The method for determining the quantization value according to feature 1.

3. The step of determining the quantization difference based on the quantization values ​​corresponding to two of the I index numbers is as follows: The step includes determining the quantization difference based on the quantization value corresponding to the maximum value and the minimum value of the index number, respectively. The method for determining the quantization value according to feature 2.

4. The information relating to the quantized value includes an intermediate independent variable for calculating the quantized value, and the intermediate independent variable corresponding to the quantized value is determined by a first calculation rule. The method for determining the quantization value according to feature 1.

5. The step of determining the quantization value corresponding to each of the I index numbers based on the associated information of the quantization value corresponding to at least one of the I index numbers is: A step of determining an intermediate independent variable corresponding to at least one quantization value by the first calculation rule based on the quantization value corresponding to at least one index number, A step of determining an intermediate independent variable corresponding to each quantization value by a second calculation rule based on an intermediate independent variable corresponding to at least one of the quantization values, The steps include determining each quantization value according to the first calculation rule based on an intermediate independent variable corresponding to each quantization value, including, The method for determining the quantization value according to feature 4.

6. The step of determining an intermediate independent variable corresponding to at least one of the quantization values, based on the quantization value corresponding to each of the at least one index numbers, by the first calculation rule, is: The step includes determining a first quantization value corresponding to the maximum value of the index number, a second quantization value corresponding to the minimum value of the index number, and a first intermediate independent variable corresponding to the first quantization value and a second intermediate independent variable corresponding to the second quantization value, based on the first calculation rule. The step of determining the intermediate independent variable corresponding to each quantization value by the second calculation rule, based on the intermediate independent variable corresponding to at least one of the quantization values, is: The process includes the step of determining the intermediate independent variable corresponding to each quantization value according to the second calculation rule, based on the first intermediate independent variable and the second intermediate independent variable. The method for determining the quantization value according to feature 5.

7. The step of determining an intermediate independent variable corresponding to at least one of the quantization values, based on the quantization value corresponding to each of the at least one index numbers, by the first calculation rule, is: The steps include determining a third quantization value corresponding to an arbitrary index number, and a third intermediate independent variable corresponding to the third quantization value based on the first calculation rule, The step of determining the intermediate independent variable corresponding to each quantization value by the second calculation rule, based on the intermediate independent variable corresponding to at least one of the quantization values, is: The step includes determining the intermediate independent variable corresponding to each quantization value based on a third intermediate independent variable and a predetermined difference between the intermediate independent variables corresponding to each quantization value, The method for determining the quantization value according to feature 5.

8. The step of determining the quantization value corresponding to each of the I index numbers based on the associated information of the quantization value corresponding to at least one of the I index numbers is: The step includes determining the quantized value corresponding to each index number by the first calculation rule based on the intermediate independent variable of the quantized value corresponding to each index number, wherein the difference in independent variables between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same, or the ratio of independent variables between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same. The method for determining the quantization value according to feature 5.

9. The aforementioned I index numbers include one consecutive natural number. A method for determining a quantization value according to any one of features 1 to 8.

10. A device for determining quantization values, The apparatus includes a processing module, and the processing module is Based on the associated information of the quantization value corresponding to at least one of the I index numbers, the quantization value corresponding to each of the I index numbers is determined, and the quantization value is associated with the time-domain channel characteristics. The system is configured to indicate the quantization value using X bits, where I encoded values ​​corresponding to X bits each correspond to the quantization value, and I = 2 Ｘ , X and I are positive integers, A device for determining quantized values, characterized by the following features.

11. The quantization difference between two quantization values ​​corresponding to adjacent index numbers is the same. The processing module further, Based on the quantization values ​​corresponding to two of the I index numbers, the quantization difference is determined. The system is configured to determine the quantized value corresponding to each index number based on at least the quantization difference, The apparatus for determining the quantization value according to feature 10.

12. The processing module further, The system is configured to determine the quantization difference based on the quantization value corresponding to the maximum value and the minimum value of the index number, respectively. The apparatus for determining the quantization value according to feature 11.

13. The information relating to the quantized value includes an intermediate independent variable for calculating the quantized value, and the intermediate independent variable corresponding to the quantized value is determined by a first calculation rule. The apparatus for determining the quantization value according to feature 10.

14. The processing module further determines, based on the quantization value corresponding to at least one index number, an intermediate independent variable corresponding to at least one of the quantization values ​​according to the first calculation rule, Based on an intermediate independent variable corresponding to at least one of the quantization values, the intermediate independent variable corresponding to each of the quantization values ​​is determined by a second calculation rule. Based on an intermediate independent variable corresponding to each of the quantization values, the system is configured to determine each of the quantization values ​​according to the first calculation rule. The apparatus for determining the quantization value according to feature 13.

15. The processing module further, Based on the first quantization value corresponding to the maximum value of the index number, the second quantization value corresponding to the minimum value of the index number, and the first calculation rule, a first intermediate independent variable corresponding to the first quantization value and a second intermediate independent variable corresponding to the second quantization value are determined. Based on the first intermediate independent variable and the second intermediate independent variable, the system is configured to determine the intermediate independent variable corresponding to each quantization value according to the second calculation rule. The apparatus for determining quantization values ​​according to feature 14.

16. The processing module further, A third quantization value corresponding to an arbitrary index number and a third intermediate independent variable corresponding to the third quantization value are determined based on the first calculation rule. The system is configured to determine the intermediate independent variable corresponding to each quantization value based on a third intermediate independent variable and a predetermined difference between the intermediate independent variables corresponding to each quantization value. The apparatus for determining quantization values ​​according to feature 14.

17. The processing module is further configured to determine the quantized value corresponding to each index number by the first calculation rule based on the intermediate independent variable of the quantized value corresponding to each index number, wherein the independent variable difference between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same, or the independent variable ratio between the intermediate independent variables of two quantized values ​​corresponding to adjacent index numbers is the same. The apparatus for determining quantization values ​​according to feature 14.

18. The aforementioned I index numbers include one consecutive natural number, A device for determining quantization values ​​according to any one of claims 10 to 17.

19. A communication device The system includes a processor, a transceiver, memory, and an executable program stored in the memory that can be executed by the processor, wherein when the processor executes the executable program, it performs the method for determining the quantization value according to any one of claims 1 to 9. A communication device characterized by the following features.

20. A computer storage medium in which executable programs are stored, When the executable program is executed by a processor, it implements the method for determining the quantization value according to any one of claims 1 to 9. A computer storage medium characterized by the following features.

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