A method and device for determining transmission broadband CQI

Abstract

The present invention discloses a method and device for determining a transmission broadband CQI. The invention includes: determining a first signal to interference and noise ratio corresponding to the transmission bandwidth; inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation containing a logarithmic function; using a piecewise linear function to be equivalent to the logarithmic function, and calculating the value corresponding to the logarithmic function; substituting the value corresponding to the logarithmic function into the second equation to determine the equivalent signal to noise ratio corresponding to the transmission bandwidth; determining a target CQI based on the equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal to noise ratio and the signal to interference and noise ratio. Through the present invention, the problem of high complexity of the equivalent signal to noise ratio algorithm of the channel in the related art is solved.

Description

Technical Field

[0001] The present invention relates to the field of broadband, and in particular to a method and device for determining a transmission broadband CQI. Background Art

[0002] In the related art, in actual wireless communication systems, wireless transmission channels are constantly changing and are affected by multipath fading and Doppler spread. In order to overcome the time-varying and different characteristics of wireless channels, mobile communication systems use adaptive transmission technology to dynamically adjust according to the changes in wireless channels, such as adjusting the signal transmission power, modulation and coding method, user transmission mode, etc., so that information can be accurately transmitted under the current channel conditions.

[0003] In order to better perform dynamic scheduling and ensure service quality, MIMO transmission technology is used in the downlink, and the channel state information of the downlink is obtained through the feedback of the terminal or according to the reciprocity of the channel in the TDD mode. At present, in order to be compatible with FDD and TDD, 3GPP adopts the channel state information (CSI-channel state information) feedback from the terminal to obtain the channel state information in a specific transmission mode, and introduces CSI-RS for channel state information measurement in a specific transmission mode. The terminal performs CSI measurement and reports the indication parameters to the base station, including MIMO transmission rank indication RI, precoding matrix indication PMI and channel quality indication CQI. RI indicates the maximum number of effective transmission layers transmitted simultaneously by the transmitter in the MIMO channel, that is, the maximum number of effective transmission streams that the terminal can support; PMI is used for codebook-based adaptive precoding technology, indicating the optimal precoding matrix index number in the codebook set that is suitable for the current channel state; CQI is used for adaptive modulation and coding, indicating the highest modulation order and coding rate when a certain block error rate is met.

[0004] When the base station gNB sends the first few frames of data, it uses the default parameters for open-loop transmission because there is no adaptive transmission parameter feedback from the terminal UE. When the terminal detects that it needs to measure the channel state information, it will use the estimated channel matrix and the set algorithm to obtain the adaptive transmission parameters RI, PMI and CQI. After receiving the CSI information fed back by the UE side, the gNB performs layer mapping according to the number of transmission layers indicated by RI, selects the precoding matrix from the fixed codebook for precoding according to the PMI indication, and determines the modulation and coding method and transmission efficiency used for each codeword according to the CQI index.

[0005] Specifically, CQI measurement is generally carried out through a large number of simulations under the AWGN channel conditions in a single-input single-output system to obtain the BLER curve of each CQI index as the signal-to-noise ratio changes, and find the signal-to-noise ratio threshold corresponding to each CQI when the BLER is 0.1 from the curve, and then obtain the mapping relationship between the CQI index and the SNR when the BLER is equal to 0.1 through a straight line fitting method. Since the wireless multipath channel has frequency selectivity, when the system bandwidth is large, the channels of each subcarrier may not be exactly the same, and the signal-to-noise ratio estimated by the receiving end varies greatly. Therefore, it is necessary to use a certain algorithm to perform equivalent signal-to-noise ratio mapping to map the signal-to-noise ratio of all time-frequency resource particles into a signal-to-noise ratio that can reflect the overall channel status. The receiving end compares the equivalent signal-to-noise ratio obtained with the signal-to-noise ratio threshold simulated under the AWGN condition by looking up the table, so as to select the highest CQI index that satisfies the BLER less than 0.1. Common equivalent signal-to-noise ratio mapping functions include: Exponential Effective Signal to Noise Ratio Mapping (EESM) and Mutual Information Effective Signal to Noise Ratio Mapping (MIESM). Although the computational complexity of EESM is lower than that of MIESM, it has many exponential and logarithmic operations. Therefore, how to reduce the computational complexity while ensuring measurement accuracy has become a problem that needs to be solved.

[0006] The biggest difference between the two equivalent signal-to-noise ratio mapping algorithms is the different compression functions they use. Since MIESM uses a bit-interleaved coding modulation algorithm to calculate the mutual information of each modulation method, its algorithm complexity is much higher than that of the EESM exponential equivalent signal-to-noise ratio mapping algorithm. The complexity of the EESM exponential equivalent signal-to-noise ratio mapping algorithm is also not low. How to reduce the complexity of implementation while ensuring measurement accuracy has become a key issue.

[0007] The 5G NR downlink uses MIMO multiple-input multiple-output technology, which enables the system to achieve huge throughput gains without any bandwidth expansion or additional transmit power, effectively improving the system spectrum efficiency. However, in actual communication systems, wireless channels are not constant, and signal transmission in wireless channels is affected by factors such as spatial correlation, noise, interference, and Doppler shift, resulting in a decrease in MIMO channel capacity.

[0008] Currently, no effective solution has been proposed for the above-mentioned problems existing in the related technologies. Summary of the invention

[0009] The main purpose of the present invention is to provide a method and device for determining a transmission broadband CQI, so as to solve the problem of high complexity of the equivalent signal-to-noise ratio algorithm of the channel in the related art.

[0010] In order to achieve the above-mentioned object, according to one aspect of the present invention, a method for determining a transmission broadband CQI is provided. The invention comprises: determining a first signal to interference and noise ratio corresponding to the transmission bandwidth; inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation containing a logarithmic function; using a piecewise linear function to be equivalent to the logarithmic function, and calculating the value corresponding to the logarithmic function; substituting the value corresponding to the logarithmic function into the second equation to determine the equivalent signal to noise ratio corresponding to the transmission broadband; determining a target CQI based on the equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal to noise ratio and the signal to interference and noise ratio.

[0011] Further, determining a first signal to interference plus noise ratio corresponding to the transmission bandwidth includes: acquiring multiple channel matrices corresponding to multiple subcarriers, obtaining multiple ranks and multiple preset coding matrix indications corresponding to the multiple channel matrices according to the multiple channel matrices; determining multiple second signal to interference plus noise ratios corresponding to the multiple subcarriers on the transmission layer according to the multiple ranks and the multiple preset coding matrix indications; and determining the first signal to interference plus noise ratio according to the multiple second signal to interference plus noise ratios.

[0012] Further, the first signal to interference and noise ratio is input into the exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and the first equation is simplified to obtain a second equation containing a logarithmic function, including: the first signal to interference and noise ratio is input into the exponential equivalent signal to noise ratio mapping formula to obtain the first equation, and the first equation is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers contained in the transmission bandwidth, the adjustment factor and the number of subcarriers can be obtained by looking up the table; the first equation is simplified to the second equation by the max-log-max algorithm, and the second equation is in, is a logarithmic function.

[0013] Furthermore, a piecewise linear function is used to be equivalent to a logarithmic function, and a numerical value corresponding to the logarithmic function is calculated, including: obtaining multiple segment linear functions, wherein each segment linear function corresponds to an index; obtaining integer bits and exponent bits corresponding to the exponent in the logarithmic function; determining a target index corresponding to the exponent based on the integer bits and the exponent bits; locating the linear function based on the target index to determine a target linear function, wherein the target linear function is used to be equivalent to the logarithmic function; and calculating the numerical value corresponding to the logarithmic function through the target linear function.

[0014] Further, after determining the target CQI according to the equivalent signal-to-noise ratio and the preset mapping relationship, the method includes: determining the modulation and coding scheme used for each codeword on the transmission bandwidth and the transmission efficiency corresponding to each codeword according to the target CQI.

[0015] In order to achieve the above-mentioned purpose, according to another aspect of the present invention, a device for determining a transmission broadband CQI is provided. The device comprises: a first determination unit, which determines a first signal to interference and noise ratio corresponding to the transmission bandwidth; an acquisition unit, which inputs the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifies the first equation to obtain a second equation containing a logarithmic function; a calculation unit, which uses a piecewise linear function to be equivalent to the logarithmic function, and calculates the value corresponding to the logarithmic function; a second determination unit, which substitutes the value corresponding to the logarithmic function into the second equation to determine the equivalent signal to noise ratio corresponding to the transmission broadband; a third determination unit, which determines the target CQI according to the equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal to noise ratio and the signal to interference and noise ratio.

[0016] Further, the first determination unit includes: a first acquisition subunit, which acquires multiple channel matrices corresponding to the multiple subcarriers, and obtains multiple ranks and multiple preset coding matrix indications corresponding to the multiple channel matrices according to the multiple channel matrices; a first determination subunit, which determines multiple second signal-to-interference-and-noise ratios corresponding to the multiple subcarriers on the transmission layer according to the multiple ranks and the multiple preset coding matrix indications; and a second determination subunit, which determines the first signal-to-interference-and-noise ratio according to the multiple second signal-to-interference-and-noise ratios.

[0017] Furthermore, the obtaining unit includes: an input subunit, which inputs the first signal to interference plus noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and the first equation is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers contained in the transmission bandwidth, and the adjustment factor and the number of subcarriers can be obtained by looking up the table; simplifying the subunit, the first equation is simplified to the second equation by the max-log-max algorithm, and the second equation is in, is a logarithmic function.

[0018] In order to achieve the above objective, according to another aspect of the present application, a computer-readable storage medium is provided, the computer-readable storage medium comprising a stored program, wherein the program executes any one of the above methods for determining a transmission broadband CQI.

[0019] In order to achieve the above objective, according to another aspect of the present application, a processor is provided, and the processor is used to run a program, wherein the program executes any one of the above methods for determining a transmission wideband CQI.

[0020] The present invention adopts the following steps: determining a first signal to noise ratio corresponding to a transmission bandwidth; inputting the first signal to noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation containing a logarithmic function; using a piecewise linear function to be equivalent to the logarithmic function, and calculating a numerical value corresponding to the logarithmic function; substituting the numerical value corresponding to the logarithmic function into the second equation to determine an equivalent signal to noise ratio corresponding to the transmission bandwidth; determining a target CQI according to an equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between a signal to noise ratio and a signal to noise ratio, thereby solving the problem of high complexity of an equivalent signal to noise ratio algorithm of a channel in the related art, and thereby achieving the effect of reducing the complexity of an equivalent signal to noise ratio algorithm of a channel. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0022] Figure 1 is a flow chart of a method for determining a transmission broadband CQI according to an embodiment of the present invention;

[0023] Figure 2 It is a schematic diagram of a device for determining a transmission broadband CQI according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so as to describe the embodiments of the present invention described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] According to an embodiment of the present invention, a method for determining a transmission wideband CQI is provided.

[0028] Figure 1 FIG. 4 is a flow chart of a method for determining a transmission broadband CQI according to an embodiment of the present invention. Figure 1 As shown, the invention comprises the following steps:

[0029] Step S101: determining a first signal to interference and noise ratio corresponding to a transmission bandwidth.

[0030] Step S102: input the first signal to interference plus noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplify the first equation to obtain a second equation containing a logarithmic function.

[0031] Step S103, using a piecewise linear function to be equivalent to a logarithmic function, and calculating a value corresponding to the logarithmic function.

[0032] Step S104: Substitute the value corresponding to the logarithmic function into the second equation to determine the equivalent signal-to-noise ratio corresponding to the transmission bandwidth.

[0033] Step S105: determining a target CQI according to an equivalent signal-to-noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between a signal-to-noise ratio and a signal-to-interference-plus-noise ratio.

[0034] As mentioned above, in order to overcome the time-varying and heterogeneous nature of the wireless channel, this application uses adaptive transmission technology to require the transmitter to dynamically adjust the transmission parameters using all or part of the known channel state information, so as to achieve the purpose of improving downlink transmission efficiency and reliability. In the closed-loop spatial multiplexing transmission mode, the feedback parameters defined by 5G NR are: rank indicator RI, precoding matrix indicator PMI and channel quality indicator CQI, so as to facilitate the base station gNB to select the appropriate number of effective transmission layers, precoding matrix and the highest modulation and coding mode that satisfies the BLER less than 0.1 in the MIMO channel.

[0035] Furthermore, the first signal to interference noise ratio is input into the exponential equivalent signal to noise ratio mapping formula, and then simplified to obtain an equation containing a logarithmic function. The logarithmic function is equivalent through a piecewise linear function, and then the equivalent signal to noise ratio of the transmission bandwidth is obtained, and the target CQI is obtained by looking up the table.

[0036] Through the above method, the CQI index determines the indicator of the channel quality and indicates different levels of modulation and coding combinations, that is, MCS levels. Different MCSs correspond to different CQI indexes, and the best MCS level is selected according to the channel conditions. The UE measures the channel quality and immediately feeds back the CQI index so that the system can select a higher level of MCS when the channel conditions are good, and vice versa, to ensure the communication quality. CQI measurement usually first obtains the BLER curve corresponding to each CQI index as the signal-to-noise ratio changes under the AWGN channel of the single-input single-output system through a large number of simulations, and finds the signal-to-noise ratio threshold corresponding to each CQI when the BLER is 0.1 from the curve, and then obtains the mapping relationship between CQI and SNR when the BLER is equal to 0.1 by linear fitting. The NR system supports 3 CQI tables, one supports up to 64QAM, and the other supports up to 256QAM. These two CQI tables adjust the BLER to 0.1, and the third CQI table adjusts the BLER to 0.001. Due to the frequency selection characteristics of wireless multipath channels, when the system bandwidth is large, the channels of each subcarrier may have different characteristics, resulting in large changes in the signal to noise ratio at the receiving end. Therefore, the UE uses a certain algorithm to perform equivalent signal to noise ratio mapping, mapping the signal to noise ratio of all time-frequency resources RE into a signal to noise ratio that can reflect the overall channel state. The receiving end compares the obtained equivalent signal to noise ratio with the signal to noise ratio threshold when the BLER is equal to 0.1 simulated under AWGN-SISO conditions, thereby obtaining the highest CQI index when the BLER is less than 0.1.

[0037] In an optional example, determining a first signal to interference and noise ratio corresponding to a transmission bandwidth includes: acquiring multiple channel matrices corresponding to multiple subcarriers, and obtaining multiple ranks and multiple preset coding matrix indications corresponding to the multiple channel matrices according to the multiple channel matrices; determining multiple second signal to interference and noise ratios corresponding to the multiple subcarriers on a transmission layer according to the multiple ranks and the multiple preset coding matrix indications; and determining the first signal to interference and noise ratio according to the multiple second signal to interference and noise ratios.

[0038] As described above, the channel matrix of each subcarrier is estimated, and the rank of the channel matrix is ​​obtained, wherein the rank is used to describe the amount of effective information in the matrix, and the signal to interference plus noise ratio of each subcarrier on the transmission broadband is calculated through the channel matrix and the rank, and then the first signal to interference plus noise ratio corresponding to the transmission broadband is determined through the signal to interference plus noise ratio corresponding to each subcarrier.

[0039] In an optional example, inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation including a logarithmic function includes: inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain the first equation, wherein the first equation is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers contained in the transmission bandwidth, the adjustment factor and the number of subcarriers can be obtained by looking up the table; the first equation is simplified to the second equation by the max-log-max algorithm, and the second equation is in, is a logarithmic function.

[0040] As mentioned above, the signal to noise ratio corresponding to the transmission bandwidth is substituted into the EESM index equivalent signal to noise ratio mapping formula to calculate the equivalent signal to noise ratio under the AWGN-SISO channel.

[0041] Among them, the EESM index equivalent signal-to-noise ratio mapping formula is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, f(x) is the compression function of the signal-to-noise ratio mapping algorithm, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers contained in the transmission bandwidth. The adjustment factor and the number of subcarriers can be obtained by looking up the table. According to the different compression functions used, the equivalent signal-to-noise ratio mapping algorithm can be divided into exponential equivalent signal-to-noise ratio mapping EESM, exponential equivalent signal-to-noise ratio mapping and mutual information equivalent signal-to-noise ratio mapping MIESM. The so-called exponential equivalent signal-to-noise ratio mapping is inspired by the Union-Chernoff bound of the error probability function. Its compression function is an exponential function, and accordingly, the inverse function of its compression function is a natural logarithmic function, thereby obtaining the first equation. Simplify the first equation through the following steps to obtain the second equation:

[0042]

[0043] To simplify:

[0044]

[0045] Again Simplify it into the form of max_star function.

[0046] definition

[0047]

[0048] make

[0049] get

[0050] then,

[0051]

[0052]

[0053] In an optional instance, a piecewise linear function is used to be equivalent to a logarithmic function, and a numerical value corresponding to the logarithmic function is calculated, including: obtaining multiple segment linear functions, wherein each segment linear function corresponds to an index; obtaining integer bits and exponent bits corresponding to the exponent in the logarithmic function; determining a target index corresponding to the exponent based on the integer bits and the exponent bits; locating the linear function based on the target index to determine a target linear function, wherein the target linear function is used to be equivalent to the logarithmic function; and calculating the numerical value corresponding to the logarithmic function through the target linear function.

[0054] As mentioned above, ln(1+e -|x| ) is implemented using piecewise linear functions or lookup tables, simplifying complex exponential, logarithmic, and division operations into multiplication and addition operations while ensuring high accuracy.

[0055] There are generally many methods of data representation, such as floating point, fixed point, and half-precision floating point. Different data representation methods have a great impact on storage and calculation accuracy. The data representation of this application adopts half-precision floating point representation, and the segmentation method adopts a two-level segmentation method, namely, coarse segmentation based on exponent bits and fine segmentation based on decimal bits. This segmentation method can not only ensure the accuracy and smoothness of linear segmentation, but also reduce the implementation complexity of index search.

[0056] In an optional embodiment provided by the present application, if |x| is roughly divided into 9 segments according to [0,1 / 32],(1 / 32,1 / 16],(1 / 16,1 / 8],(1 / 8,1 / 4],(1 / 4,1 / 2],(1 / 2,1](1,2](2,4](4,+), and then evenly divided into 4 segments within the interval [0,1 / 32],(1 / 32,1 / 16],(1 / 16,1 / 8],(1 / 8,1 / 4],(1 / 4,1 / 2],(1 / 2,1](1,2](2,4], and the interval [0,1 / 32] is specially processed, that is, the number less than or equal to 1 / 16 falls in the first segment, that is, the index is 0.

[0057] The index of each segment can be expressed by the following formula:

[0058] interval1=exp_val+6=(Exponent-15)+6;

[0059] interval2=frac_val=mantissa>>8;

[0060] index=4*interval1+interval2+1

[0061] The half-precision floating point data format is used to implement fast indexing, which does not require comparison calculations, thereby saving multiple comparison calculations to calculate the index.

[0062] In another optional embodiment provided by the present application, if |x| is roughly divided into 5 segments according to [0, 1 / 2], (1 / 2, 1], (1, 2], (2, 4], (4, +∞), the last segment can be represented by a single piecewise linear function, and the interval [0, 1 / 2], (1 / 2, 1], (1, 2], (2, 4] is evenly divided into 8 segments, and the interval [0, 1 / 16] is specially processed, that is, the number less than or equal to 1 / 16 falls in the first segment, that is, the index is 0. The index of each small segment can be represented by the following formula:

[0063] interval1=exp_val+2=(Exponent-15)+2;

[0064] interval2=frac_val=mantissa>>7;

[0065] index=8*interval1+interval2+1

[0066] The performance of the function after piecewise linear fitting quantization is consistent with floating-point performance.

[0067] In an optional example, after determining the target CQI based on the equivalent signal-to-noise ratio and the preset mapping relationship, the method includes: determining the modulation and coding scheme used for each codeword on the transmission bandwidth and the transmission efficiency corresponding to each codeword based on the target CQI.

[0068] As mentioned above, the CQI measurement steps are as follows: 1) Estimate the channel matrix H of each subcarrier k, and obtain the rank RI and PMI of the channel matrix, and measure CQI through RI and PMI; 2) calculate the signal to interference and noise ratio SINR of each subcarrier on all transmission layers; 3) repeat step 2) to obtain the signal to interference and noise ratio SINR of all subcarriers in the transmission bandwidth; 4) substitute the estimated signal to interference and noise ratio on each frequency band and the transmission bandwidth signal to interference and noise ratio SINR into the EESM index equivalent signal to noise ratio mapping formula to obtain the equivalent signal to noise ratio; 5) compare with the SNR threshold when BLER is equal to 0.1 by looking up the table, and finally obtain the measured value of CQI.

[0069] An embodiment of the present invention provides a method for determining a transmission broadband CQI, which determines a first signal to noise ratio corresponding to the transmission bandwidth; inputs the first signal to noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifies the first equation to obtain a second equation containing a logarithmic function; uses a piecewise linear function to be equivalent to the logarithmic function, and calculates a numerical value corresponding to the logarithmic function; substitutes the numerical value corresponding to the logarithmic function into the second equation to determine the equivalent signal to noise ratio corresponding to the transmission broadband; determines a target CQI based on the equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal to noise ratio and the signal to noise ratio, thereby solving the problem of high complexity of the equivalent signal to noise ratio algorithm of the channel in the related art, thereby achieving the effect of reducing the complexity of the equivalent signal to noise ratio algorithm of the channel.

[0070] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0071] The embodiment of the present invention further provides a transmission wideband CQI determination device. It should be noted that the transmission wideband CQI determination device of the embodiment of the present invention can be used to execute the transmission wideband CQI determination method provided by the embodiment of the present invention. The following introduces a transmission wideband CQI determination device provided by the embodiment of the present invention.

[0072] Figure 2 FIG. 2 is a schematic diagram of a transmission broadband CQI determination device according to an embodiment of the present invention. Figure 2As shown, the device includes: a first determining unit 201, determining a first signal to interference and noise ratio corresponding to a transmission bandwidth; an obtaining unit 202, inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation containing a logarithmic function; a calculating unit 203, using a piecewise linear function to be equivalent to the logarithmic function, and calculating a value corresponding to the logarithmic function; a second determining unit 204, substituting the value corresponding to the logarithmic function into the second equation to determine an equivalent signal to noise ratio corresponding to the transmission bandwidth; a third determining unit 205, determining a target CQI according to an equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal to noise ratio and the signal to interference and noise ratio.

[0073] In an optional example, the first determination unit includes: a first acquisition subunit, which acquires multiple channel matrices corresponding to multiple subcarriers, and obtains multiple ranks and multiple preset coding matrix indications corresponding to the multiple channel matrices according to the multiple channel matrices; the first determination subunit, which determines multiple second signal-to-interference-and-noise ratios corresponding to the multiple subcarriers on the transmission layer according to the multiple ranks and the multiple preset coding matrix indications; and the second determination subunit, which determines the first signal-to-interference-and-noise ratio according to the multiple second signal-to-interference-and-noise ratios.

[0074] In an optional example, the obtaining unit includes: an input subunit, inputting the first signal to interference plus noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and the first equation is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers contained in the transmission bandwidth, and the adjustment factor and the number of subcarriers can be obtained by looking up the table; simplifying the subunit, the first equation is simplified to the second equation by the max-log-max algorithm, and the second equation is in, is a logarithmic function.

[0075] In an optional instance, the calculation unit includes: a second acquisition subunit, which acquires multiple segments of linear functions, wherein each segment of the linear function corresponds to an index; a third acquisition subunit, which acquires integer bits and exponent bits corresponding to the exponent in the logarithmic function; a third determination subunit, which determines the target index corresponding to the exponent based on the integer bits and the exponent bits; a positioning subunit, which locates the linear function based on the target index to determine the target linear function, wherein the target linear function is used for the equivalent logarithmic function; and a calculation subunit, which calculates the numerical value corresponding to the logarithmic function through the target linear function.

[0076] In an optional example, the device includes: a fourth determination unit, after determining the target CQI according to the equivalent signal-to-noise ratio and the preset mapping relationship, determines the modulation and coding method used for each codeword on the transmission bandwidth and the transmission efficiency corresponding to each codeword according to the target CQI.

[0077] An embodiment of the present invention provides a transmission broadband CQI determination device, which determines a first signal to noise ratio corresponding to the transmission bandwidth; inputs the first signal to noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifies the first equation to obtain a second equation containing a logarithmic function; uses a piecewise linear function to be equivalent to the logarithmic function, and calculates a numerical value corresponding to the logarithmic function; substitutes the numerical value corresponding to the logarithmic function into the second equation to determine the equivalent signal to noise ratio corresponding to the transmission broadband; determines a target CQI according to the equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal to noise ratio and the signal to noise ratio, thereby solving the problem of high complexity of the equivalent signal to noise ratio algorithm of the channel in the related art, thereby achieving the effect of reducing the complexity of the equivalent signal to noise ratio algorithm of the channel.

[0078] The apparatus for determining a transmission wideband CQI includes a processor and a memory. The first determination unit 201 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.

[0079] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the problem of high complexity of the equivalent signal-to-noise ratio algorithm of the channel in the related art can be solved by adjusting the kernel parameters.

[0080] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0081] An embodiment of the present invention provides a storage medium on which a program is stored. When the program is executed by a processor, the method for determining a transmission wideband CQI is implemented.

[0082] An embodiment of the present invention provides a processor, which is used to run a program, wherein the method for determining a transmission wideband CQI is executed when the program is run.

[0083] An embodiment of the present invention provides a device, the device includes a processor, a memory, and a program stored in the memory and executable on the processor, and the processor implements the following steps when executing the program: determining a first signal to interference and noise ratio corresponding to a transmission bandwidth; inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation containing a logarithmic function; using a piecewise linear function to be equivalent to the logarithmic function, and calculating a numerical value corresponding to the logarithmic function; substituting the numerical value corresponding to the logarithmic function into the second equation to determine an equivalent signal to noise ratio corresponding to the transmission bandwidth; and determining a target CQI according to an equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal to noise ratio and the signal to interference and noise ratio.

[0084] In an optional example, determining a first signal to interference and noise ratio corresponding to a transmission bandwidth includes: acquiring multiple channel matrices corresponding to multiple subcarriers, and obtaining multiple ranks and multiple preset coding matrix indications corresponding to the multiple channel matrices according to the multiple channel matrices; determining multiple second signal to interference and noise ratios corresponding to the multiple subcarriers on a transmission layer according to the multiple ranks and the multiple preset coding matrix indications; and determining the first signal to interference and noise ratio according to the multiple second signal to interference and noise ratios.

[0085] In an optional example, inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation including a logarithmic function includes: inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain the first equation, wherein the first equation is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers contained in the transmission bandwidth, the adjustment factor and the number of subcarriers can be obtained by looking up the table; the first equation is simplified to the second equation by the max-log-max algorithm, and the second equation is in, is a logarithmic function.

[0086] In an optional instance, a piecewise linear function is used to be equivalent to a logarithmic function, and a numerical value corresponding to the logarithmic function is calculated, including: obtaining multiple segment linear functions, wherein each segment linear function corresponds to an index; obtaining integer bits and exponent bits corresponding to the exponent in the logarithmic function; determining a target index corresponding to the exponent based on the integer bits and the exponent bits; locating the linear function based on the target index to determine a target linear function, wherein the target linear function is used to be equivalent to the logarithmic function; and calculating the numerical value corresponding to the logarithmic function through the target linear function.

[0087] In an optional example, after determining the target CQI based on the equivalent signal-to-noise ratio and the preset mapping relationship, the method includes: determining the modulation and coding scheme used for each codeword on the transmission bandwidth and the transmission efficiency corresponding to each codeword based on the target CQI.

[0088] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0089] The present invention also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that is initialized with the following method steps: determining a first signal to interference and noise ratio corresponding to a transmission bandwidth; inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation containing a logarithmic function; using a piecewise linear function to be equivalent to the logarithmic function, and calculating a numerical value corresponding to the logarithmic function; substituting the numerical value corresponding to the logarithmic function into the second equation to determine an equivalent signal to noise ratio corresponding to the transmission bandwidth; determining a target CQI based on the equivalent signal to noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal to noise ratio and the signal to interference and noise ratio.

[0090] In an optional example, determining a first signal to interference and noise ratio corresponding to a transmission bandwidth includes: acquiring multiple channel matrices corresponding to multiple subcarriers, and obtaining multiple ranks and multiple preset coding matrix indications corresponding to the multiple channel matrices according to the multiple channel matrices; determining multiple second signal to interference and noise ratios corresponding to the multiple subcarriers on a transmission layer according to the multiple ranks and the multiple preset coding matrix indications; and determining the first signal to interference and noise ratio according to the multiple second signal to interference and noise ratios.

[0091] In an optional example, inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation including a logarithmic function includes: inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain the first equation, wherein the first equation is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers contained in the transmission bandwidth, the adjustment factor and the number of subcarriers can be obtained by looking up the table; the first equation is simplified to the second equation by the max-log-max algorithm, and the second equation is in, is a logarithmic function.

[0092] In an optional instance, a piecewise linear function is used to be equivalent to a logarithmic function, and a numerical value corresponding to the logarithmic function is calculated, including: obtaining multiple segment linear functions, wherein each segment linear function corresponds to an index; obtaining integer bits and exponent bits corresponding to the exponent in the logarithmic function; determining a target index corresponding to the exponent based on the integer bits and the exponent bits; locating the linear function based on the target index to determine a target linear function, wherein the target linear function is used to be equivalent to the logarithmic function; and calculating the numerical value corresponding to the logarithmic function through the target linear function.

[0093] In an optional example, after determining the target CQI based on the equivalent signal-to-noise ratio and the preset mapping relationship, the method includes: determining the modulation and coding scheme used for each codeword on the transmission bandwidth and the transmission efficiency corresponding to each codeword based on the target CQI.

[0094] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0095] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0096] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0097] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0098] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0099] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0100] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0101] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0102] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0103] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for determining a transmission wideband CQI, characterized in that: include: Determine a first signal to interference and noise ratio corresponding to the transmission bandwidth; Inputting the first signal to interference plus noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation including a logarithmic function; Using a piecewise linear function to be equivalent to the logarithmic function, and calculating the value corresponding to the logarithmic function; Substituting the value corresponding to the logarithmic function into the second equation to determine the equivalent signal-to-noise ratio corresponding to the transmission bandwidth; Determining a target CQI according to the equivalent signal-to-noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between a signal-to-noise ratio and a signal-to-interference-plus-noise ratio; Inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation including a logarithmic function, including: inputting the first signal to interference and noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain the first equation, wherein the first equation is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers included in the transmission bandwidth, the adjustment factor and the number of subcarriers can be obtained by looking up a table; the first equation is simplified to the second equation by the max-log-max algorithm, and the second equation is: in, is the logarithmic function, x1 represents any signal-to-interference-noise ratio in the first signal-to-interference-noise ratios, and x2 represents any signal-to-interference-noise ratio in the first signal-to-interference-noise ratios except x1.

2. The method according to claim 1, characterized in that Determining a first signal to interference and noise ratio corresponding to a transmission bandwidth includes: Acquire multiple channel matrices corresponding to multiple subcarriers, and obtain multiple ranks and multiple preset coding matrix indications corresponding to the multiple channel matrices according to the multiple channel matrices; Determine, according to the multiple ranks and the multiple preset coding matrix indications, multiple second signal-to-interference-and-noise ratios corresponding to the multiple subcarriers on the transmission layer; The first signal to interference plus noise ratio is determined according to a plurality of the second signal to interference plus noise ratios.

3. The method according to claim 1, characterized in that Using a piecewise linear function to be equivalent to the logarithmic function and calculating a value corresponding to the logarithmic function includes: Obtain multiple segments of linear functions, wherein each segment of the linear function corresponds to an index; Obtaining integer digits and exponent digits corresponding to the exponent in the logarithmic function; Determine a target index corresponding to the exponent according to the integer digits and the exponent digits; According to the target index, the linear function is located to determine a target linear function, wherein the target linear function is used to be equivalent to the logarithmic function; The numerical value corresponding to the logarithmic function is calculated using the target linear function.

4. The method according to claim 1, characterized in that: After determining the target CQI according to the equivalent signal-to-noise ratio and the preset mapping relationship, the method includes: According to the target CQI, the modulation and coding mode adopted by each codeword on the transmission broadband and the transmission efficiency corresponding to each codeword are determined.

5. A device for determining a transmission wideband CQI, characterized in that: include: A first determining unit, determining a first signal to interference and noise ratio corresponding to a transmission bandwidth; an obtaining unit, inputting the first signal to interference plus noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain a first equation, and simplifying the first equation to obtain a second equation containing a logarithmic function; A calculation unit, which uses a piecewise linear function to be equivalent to the logarithmic function, and calculates a value corresponding to the logarithmic function; A second determining unit, substituting a value corresponding to the logarithmic function into the second equation to determine an equivalent signal-to-noise ratio corresponding to the transmission bandwidth; A third determining unit, which determines a target CQI according to the equivalent signal-to-noise ratio and a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between the signal-to-noise ratio and the signal-to-interference-plus-noise ratio; The obtaining unit includes: an input subunit, which inputs the first signal to interference plus noise ratio into an exponential equivalent signal to noise ratio mapping formula to obtain the first equation, and the first equation is: Among them, SNR eff is the equivalent signal-to-noise ratio, β is the adjustment factor, SINR k is the first signal to interference and noise ratio, N c is the number of subcarriers included in the transmission bandwidth, and the adjustment factor and the number of subcarriers can be obtained by looking up a table; the simplification subunit simplifies the first equation into the second equation by the max-log-max algorithm, and the second equation is in, is the logarithmic function, x1 represents any signal-to-interference-noise ratio in the first signal-to-interference-noise ratios, and x2 represents any signal-to-interference-noise ratio in the first signal-to-interference-noise ratios except x1.

6. The device according to claim 5, characterized in that The first determining unit includes: A first acquisition subunit is configured to acquire a plurality of channel matrices corresponding to a plurality of subcarriers, and obtain a plurality of ranks corresponding to the plurality of channel matrices and a plurality of preset coding matrix indications according to the plurality of channel matrices; A first determining subunit, determining a plurality of second signal-to-interference-and-noise ratios corresponding to the plurality of subcarriers on a transmission layer according to the plurality of ranks and the plurality of preset coding matrix indications; The second determining subunit determines the first signal to interference plus noise ratio according to a plurality of the second signal to interference plus noise ratios.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for determining a transmission broadband CQI as claimed in any one of claims 1 to 4.

8. A processor, characterized in that: The processor is used to run a program, wherein the program, when running, executes a method for determining a transmission wideband CQI as described in any one of claims 1 to 4.

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