A method and apparatus for sounding reference signal resource grouping

Abstract

The application discloses a method and equipment for detecting reference signal resource grouping. The method comprises the following steps: receiving a detection reference signal and dividing the detection reference signal into y groups of mutually orthogonal orthogonal signals, y groups of mutually orthogonal signals are expressed as a set R={r1, r2, …r y}, wherein r k represents the kth group of orthogonal signals, k=1, 2, …, y; obtaining an equalization weight according to the kth group of orthogonal signals r k , and then performing equalization on the signal M k to obtain equalized data D k , wherein R is equal to {r1, r2, …r y}, R / r k is the orthogonal signal remaining after R is divided by the kth group of orthogonal signals, represents a subset operation, and / represents a difference set operation; and estimating a signal-to-interference-and-noise ratio by calculating an error vector magnitude of the equalized data A, wherein the application solves a self-excitation effect in channel estimation and improves the performance of an intelligent reflecting surface system.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a method and apparatus for detecting reference signal resource packets. Background Technology

[0002] The ubiquitous demand for wireless services poses a significant challenge to existing 5G communication systems. The demand for wireless services has been growing rapidly, with conservative estimates suggesting an annual traffic increase of 40% to 70%. In the coming decades, communication systems may need to provide 1000 times more capacity than current levels. Due to limited low-frequency resources, 6G communication systems will utilize higher frequency bands than 5G. Millimeter waves, with their high transmission rates and strong directivity, have become a highly competitive candidate frequency band. This enormous potential has led to significant interest in millimeter waves from both academia and industry, with a belief that they will play a crucial role in 6G communication systems. By using high-dimensional arrays, base stations and users can generate highly directional transmission links to overcome the significant path loss associated with high-frequency millimeter waves. However, with the increase in communication frequency and antenna array size, beam blocking effects during propagation become very frequent, severely impacting the practical application of millimeter waves as a data transmission carrier. Therefore, how to construct a dense, three-dimensional wireless network with broad and deep coverage has become one of the main bottlenecks driving the development of 6G communication technology.

[0003] By adjusting the channel environment to improve coverage range and quality, smart reflectors are considered a potential technology for solving the aforementioned bottlenecks. Beam transmission mechanisms based on smart reflectors are used to reconfigure the wireless propagation environment, thereby improving the performance of communication systems. Compared to existing base station and user wireless links, smart reflectors actively modify the wireless channel between them through highly controllable intelligent signal reflection, providing new degrees of freedom to the wireless link. Figure 1 As shown, intelligent reflectors improve channel characteristics by controlling the reflection direction of signals emitted by the base station, thereby filling signal gaps and increasing the capacity of communication systems. Due to these advantages, intelligent reflectors have become a key research focus in both academia and industry. Researching the key theories and methods of intelligent reflector-assisted three-dimensional dense wireless transmission will become a research hotspot for improving the transmission performance of 6G wireless communication.

[0004] Accurate channel estimation is a fundamental problem that needs to be solved in smart reflectors. Self-oscillation effects in channel estimation prevent accurate assessment of wireless link quality, thus hindering the effective use of smart reflectors to build dense, three-dimensional wireless networks. An example of self-oscillation effects can be found in [link to documentation]. Figure 2 and Figure 3 . Figure 2 The receiver constellation diagram is given when there are four receiving antennas under beam blocking conditions. It can be seen that the constellation diagram is rather chaotic, and the estimated signal-to-interference-plus-noise ratio (SINNR) is relatively low. Figure 3The receiver constellation diagram for a 128-antenna configuration under beam obstruction conditions is presented. The constellation diagram is relatively clear, and the estimated signal-to-interference-plus-noise ratio (SNR) is relatively high. The self-oscillation effect prevents accurate determination of beam obstruction, hindering timely signal compensation via a smart reflector. As the above introduction demonstrates, addressing the self-oscillation effect in channel estimation is crucial for both theoretical research and engineering applications of smart reflector systems. This invention proposes a method and apparatus for detecting reference signal resource groups to address the self-oscillation effect in channel estimation and improve the performance of smart reflector systems.

[0005] In the prior art, the steps and defects of a low-complexity signal-to-interference-plus-noise ratio (SIR) approximation method (authors: Zhao Hongzhi, Zheng Bowen, Tang Youxi; application number: CN201210454212.8) are: when the number of receiving antennas is large, the estimated SIR will have a significant flat bottom phenomenon. Summary of the Invention

[0006] This invention provides a method and apparatus for detecting reference signal resource groups, aiming to improve the accuracy of signal-to-interference-plus-noise ratio (SINR) estimation, solve the self-excitation effect in channel estimation, and enhance the performance of intelligent reflector systems.

[0007] The objective of this invention is achieved by at least one of the following technical solutions.

[0008] A method for detecting reference signal resource packets includes the following steps:

[0009] S1. Receive the detection reference signal and divide it into y mutually orthogonal groups of signals. The y mutually orthogonal groups of signals are represented by the set R = {r1, r2, ... r...} y}, where r k Let y represent the k-th group of orthogonal signals, where k = 1, 2, ..., y;

[0010] S2, based on the kth group of orthogonal signals r k To obtain the equilibrium weights, and then apply them to the signal M k After balancing, the data D is obtained. k ,in R equals {r1, r2, ... r} y}, R / r k It is the orthogonal signal remaining after removing the k-th group of orthogonal signals from R. The symbol ' / ' represents subset operations, and ' / ' represents difference operations.

[0011] S3. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the error vector magnitude (EVM) on the equalized data A.

[0012] Furthermore, in step S1, y is an integer greater than or equal to 2.

[0013] Furthermore, in step S2, M k It may be empty.

[0014] Furthermore, in step S2, D k It may be empty.

[0015] Furthermore, in step S2, based on the k-th group of orthogonal signals r k Obtaining the equilibrium weights involves the following steps:

[0016] S2.1. Select a channel estimation method based on the probe reference signal to perform channel estimation;

[0017] S2.2. Based on the channel estimation results, select the equalization method to obtain the equalization weights.

[0018] Further, in step S2.1, the channel estimation method includes least square (LS) channel estimation, minimum mean squared error (MMSE) channel estimation, or channel estimation based on discrete Fourier transform (DFT), as shown in References 1 and 2.

[0019] [Document 1] Y.Liu, Z.Tan, H.Hu, LJCimini and GYLi, "Channel estimation for OFDM", IEEE Commun.Surveys Tuts., vol.16, no.4, pp.1891-1908, 4th Quart.2014. [Document 2] MKOzdemir and H.Arslan, "Channel estimation for wireless OFDM systems", IEEE Commun.Surveys Tuts.,vol.9,no.2,pp.18-48,2nd Quart.2007.

[0020] Furthermore, in step S2.2, the equilibrium method includes zero-force (ZF) equilibrium, minimum mean squared error (MMSE) equilibrium, or maximum likelihood (ML) equilibrium, as shown in reference 3.

[0021] [Document 3] D.Tse and P.Viswanath, Fundamentals of Wireless Communication, Cambridge Univ. Press, 2005.

[0022] Furthermore, in step S3, the error vector magnitude (EVM) is calculated as the difference between the signal defined in the physical layer specification and the actual transmitted signal, as shown in references 4 and 5.

[0023] [Document 4] 3GPP TS 36.104, "Evolved universal terrestrial radio access (E-UTRA); base station (BS) radio transmission and reception (Release 15)," V15.8.0, Sep.2019.

[0024] [Document 5] S. Sesia, I. Toufik and M. Baker, LTE-the UMTS long term evolution: from theory to practice, Wiley, 2009.

[0025] Furthermore, it also includes step S4: communicating based on the estimated signal-to-interference-plus-noise ratio, as follows:

[0026] When the estimated signal-to-interference-plus-noise ratio is lower than the threshold, it is determined that the beam is blocked, and a smart reflector is used to assist communication.

[0027] When the estimated signal-to-interference-plus-noise ratio is higher than or equal to the threshold, it is determined that the beam is not blocked, and the smart reflector is not used for auxiliary communication. Threshold is a real number in the range of [-40dB, 40dB].

[0028] An apparatus for detecting reference signal resource groups includes a grouping module, an equalization module, and a signal-to-interference-plus-noise ratio (SINR) estimation module.

[0029] The grouping module is used to divide the received detection reference signal into y mutually orthogonal groups; the equalization module is used to divide the k-th orthogonal group r into groups of mutually orthogonal signals. k The obtained weights for signal M k After balancing, the data D is obtained. k ,in R = {r1, r2, ... r} y}, `` represents subset operation, and ` / ` represents difference operation; the signal-to-interference-plus-noise ratio (SIR) estimation module is used to estimate the SIR by calculating the EVM based on the equalized data A, where...

[0030] Compared with the prior art, the advantages of this invention are:

[0031] This invention eliminates the correlation between equalization weight noise and received data noise by grouping the probe reference signal, thereby improving the accuracy of signal-to-interference-plus-noise ratio estimation with very low complexity, solving the self-excitation effect in channel estimation, and improving the performance of intelligent reflector systems. Attached Figure Description

[0032] The accompanying drawings are included to provide a further understanding of the embodiments, and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments and, together with the description, are used to explain the principles of the embodiments. Other embodiments and many anticipated advantages of the embodiments will be readily appreciated, as they will be better understood through reference to the following detailed description. Similar reference numerals denote corresponding similar parts.

[0033] Figure 1 A schematic diagram of intelligent reflective surface-assisted communication;

[0034] Figure 2 The receiver constellation diagram when there are 4 receiving antennas in the case of beam blocking;

[0035] Figure 3 The receiver constellation diagram when the receiving antenna is 128, under beam blocking conditions;

[0036] Figure 4 The results for estimating the signal-to-interference-plus-noise ratio using traditional methods and devices;

[0037] Figure 5 To propose methods and apparatus for estimating signal-to-interference-plus-noise ratio (SIR / NDR) results;

[0038] Figure 6 This is a schematic diagram of the method of the present invention;

[0039] Figure 7 This is a schematic diagram of the device of the present invention;

[0040] Figure 8 This diagram illustrates the relationship between time slots, subframes, and frames in common communication systems.

[0041] Figure 9 A schematic diagram illustrating the relationship between carrier, symbol, and resource elements in common communication systems;

[0042] Figure 10This is a schematic diagram illustrating the result of a method for grouping detection reference signals into two groups in a symbolic comb structure according to an embodiment of the present invention.

[0043] Figure 11 This is a schematic diagram illustrating the result of a method for grouping detection reference signals into two groups in an embodiment of the present invention, where the detection reference signal is divided into two groups under a non-comb structure.

[0044] Figure 12 This is a schematic diagram illustrating the result of a method for grouping a detection reference signal resource into four groups in a symbolic comb structure according to an embodiment of the present invention.

[0045] Figure 13 This is a schematic diagram illustrating the result of a method for grouping a detection reference signal resource in an embodiment of the present invention, where the detection reference signal is divided into four groups under a non-comb structure.

[0046] Figure 14 This is a schematic diagram illustrating the result of a method for grouping reference signal resources in an embodiment of the present invention, where the reference signal is divided into two groups under the condition of two symbolic comb structures. Detailed Implementation

[0047] The accompanying drawings are used to describe various aspects of the invention, wherein similar reference numerals are generally used throughout to denote similar elements. For purposes of explanation, numerous specific details are set forth in the following description to provide a thorough understanding of one or more aspects of the embodiments. However, those skilled in the art may practice one or more aspects of the described embodiments with a lesser degree of detail. It should be understood that other embodiments may be utilized, and structural or logical changes may be made without departing from the scope of the invention.

[0048] Example:

[0049] A method for detecting reference signal resource packets, such as Figure 6 As shown, it includes the following steps:

[0050] S1. Receive the detection reference signal and divide it into y mutually orthogonal groups of orthogonal signals. The y mutually orthogonal groups of orthogonal signals are represented by the set R = {r1, r2, ... r...} y}, where r k Let represent the k-th group of orthogonal signals, k = 1, 2, ..., y; y is an integer greater than or equal to 2;

[0051] S2, based on the kth group of orthogonal signals r k To obtain the equilibrium weights, and then apply them to the signal M k After balancing, the data D is obtained. k ,in R equals {r1, r2, ... r} y}, R / r k It is the orthogonal signal remaining after removing the k-th group of orthogonal signals from R. / represents subset operation, / represents difference operation; M k and D k It may be empty.

[0052] Based on the kth group of orthogonal signals r k Obtaining the equilibrium weights involves the following steps:

[0053] S2.1. Select a channel estimation method based on the probe reference signal to perform channel estimation;

[0054] The channel estimation methods include least squares (LS) channel estimation, minimum mean squared error (MMSE) channel estimation, or channel estimation based on discrete Fourier transform (DFT).

[0055] S2.2. Based on the channel estimation results, select the equalization method to obtain the equalization weights;

[0056] The equilibrium methods include Zero Force (ZF) equilibrium, Minimum Mean Squared Error (MMSE) equilibrium, or Maximum Likelihood (ML) equilibrium.

[0057] S3. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the error vector magnitude (EVM) on the equalized data A.

[0058] Error Vector Magnitude (EVM) is defined as the difference between the signal defined in the physical layer specification and the actual transmitted signal.

[0059] Step S4: Perform communication based on the estimated signal-to-interference-plus-noise ratio, as follows:

[0060] When the estimated signal-to-interference-plus-noise ratio is lower than the threshold, it is determined that the beam is blocked, and a smart reflector is used to assist communication.

[0061] When the estimated signal-to-interference-plus-noise ratio is higher than or equal to the threshold, it is determined that the beam is not blocked, and the smart reflector is not used for auxiliary communication. Threshold is a real number in the range of [-40dB, 40dB].

[0062] An apparatus for detecting reference signal resource packets, such as Figure 7 As shown, it includes a grouping module, an equalization module, and a signal-to-interference-plus-noise ratio (SINR) estimation module;

[0063] The grouping module is used to divide the received detection reference signal into y mutually orthogonal groups; the equalization module is used to divide the k-th orthogonal group r into groups of mutually orthogonal signals. k The obtained weights for signal M k After balancing, the data D is obtained. k ,in R = {r1, r2, ... r} y}, `` represents subset operation, and ` / ` represents difference operation; the signal-to-interference-plus-noise ratio (SIR) estimation module is used to estimate the SIR by calculating the EVM based on the equalized data A, where...

[0064] In one embodiment, Figure 4 The signal-to-noise ratio (SNR) estimated by the traditional method is given, where the horizontal axis represents the set SNR and the vertical axis represents the estimated SNR. Figure 4 The number of receiving antennas is 2, 8, 32, and 128. From Figure 4 It can be seen that: 1) As the number of receiving antennas increases, the difference between the estimated SNR and the actual SNR becomes increasingly larger under low SNR conditions, and the self-excitation effect in the traditional method of SNR estimation becomes increasingly serious; 2) Under high SNR conditions, the estimated SNR and the actual SNR are basically consistent. The use of traditional methods cannot enable accurate evaluation of wireless link quality, thus failing to effectively utilize smart reflectors to construct a three-dimensional dense wireless network.

[0065] In one embodiment, Figure 5 The signal-to-interference-plus-noise ratio (SNR) estimated by this invention is given, where the horizontal axis represents the set SNR and the vertical axis represents the estimated SNR. Figure 5 The number of receiving antennas is 2, 8, 32, and 128. From Figure 5As can be seen: 1) With the increase of the number of receiving antennas, the difference between the estimated SNR and the actual SNR remains unchanged under low SNR conditions, thus the present invention solves the self-excitation effect in SNR estimation. 2) Under high SNR conditions, the estimated SNR and the actual SNR are basically consistent. Using the proposed method, the wireless link quality can be accurately evaluated, thereby effectively utilizing smart reflectors to construct a three-dimensional dense wireless network.

[0066] Figure 8 This paper presents the relationship between time slots, subframes, and frames in common communication systems. In communication systems such as 4G LTE and 5G NR, the duration of a frame is 10ms, and a frame can be divided into 10 subframes, each with a duration of 1ms. In 4G LTE systems, the carrier spacing is fixed, and the duration of a time slot is also fixed; that is, a subframe contains two time slots. In 5G NR systems, the carrier spacing is optional, and the duration of a time slot is not fixed; that is, a subframe contains two or more time slots.

[0067] Figure 9 The relationship between carriers, symbols, and resource elements in common communication systems is presented. In Orthogonal Frequency Division Multiplexing (OFDM) systems, the basic unit in the frequency domain is a carrier, and the basic unit in the time domain is a symbol. With a carrier spacing of 15 kHz, a subframe consists of 14 symbols, and a resource block (RB) consists of 12 carriers. With a carrier spacing of 30 kHz, a subframe consists of 28 symbols, and an RB consists of 12 carriers. A resource element (RE) consists of one carrier in the frequency domain and one symbol in the time domain. A RE can be uniquely determined by a two-dimensional array (k, l), where k represents the carrier index and l represents the symbol index.

[0068] In one embodiment, such as Figure 10 As shown, an example of a method for grouping probe reference signals into resource groups is presented. In the case of a comb structure, the probe reference signals are divided into two groups. Assume the symbol index of the probe reference signal is l, and the starting carrier index is k. s The end carrier index is k e Without loss of generality, assume the number of probe reference signals is a multiple of 2. In this case, y = 2, R = {r1, r2}, r1 = {(k s ,l),(k s +4,l),…,(k s +k e -2,l)},r2={(k s +2,l),(k s +6,l),…,(k s+k e ,l)}.

[0069] In one possible embodiment, the present invention equalizes orthogonal signal r2 based on the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1, and equalizes orthogonal signal r1 based on the equalization weights obtained from the second set of orthogonal signals r2 to obtain equalized data D2. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the EVM from the equalized data A. In another possible embodiment, the present invention equalizes the orthogonal signal r2 based on the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1. The signal-to-interference-plus-noise ratio (SINR) is estimated by calculating the EVM from the equalized data A.

[0070] In one embodiment, such as Figure 11 As shown, an example of a method for grouping a probe reference signal resource is presented. In the case of a non-comb structure, the probe reference signal is divided into two groups. Assume the symbol index of the probe reference signal is l, and the starting carrier index is k. s The end carrier index is k e Without loss of generality, assume the number of probe reference signals is a multiple of 2. In this case, y = 2, R = {r1, r2}, r1 = {(k s ,l),(k s +2,l),…,(k s +k e -1,l)},r2={(k s +1,l),(k s +3,l),…,(k s +k e ,l)}.

[0071] In one possible embodiment, the present invention equalizes orthogonal signal r2 based on the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1, and equalizes orthogonal signal r1 based on the equalization weights obtained from the second set of orthogonal signals r2 to obtain equalized data D2. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the EVM from the equalized data A. In another possible embodiment, the present invention equalizes the orthogonal signal r2 based on the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1, and estimates the signal-to-interference-plus-noise ratio by calculating the EVM from the equalized data A, wherein...

[0072]

[0073] In one embodiment, such as Figure 12As shown, an example of a method for grouping probe reference signals into resource groups is presented. In the case of a comb structure, the probe reference signals are divided into four groups. Assume the symbol index of the probe reference signal is l, and the starting carrier index is k. s The end carrier index is k e Without loss of generality, assume the number of probe reference signals is a multiple of 4. In this case, y = 4, R = {r1, r2, r3, r4}, r1 = {(k s ,l),(k s +8,l),…,(k s +k e -6,l)},r2={(k s +2,l),(k s +10,l),…,(k s +k e -4,l)},r3={(k s +4,l),(k s +12,l),…,(k s +k e -2,l)},r4={(k s +6,l),(k s +14,l),…,(k s +k e ,l)}.

[0074] In one possible embodiment, the orthogonal signals {r2,r3,r4} are equalized using the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1; the orthogonal signals {r1,r3,r4} are equalized using the equalization weights obtained from the second set of orthogonal signals r2 to obtain equalized data D2; the orthogonal signals {r1,r2,r4} are equalized using the equalization weights obtained from the third set of orthogonal signals r3 to obtain equalized data D3; and the orthogonal signals {r1,r2,r3} are equalized using the equalization weights obtained from the fourth set of orthogonal signals r4 to obtain equalized data D4. The signal-to-interference-plus-noise ratio (SIR / Noise Ratio) is estimated by calculating the EVM from the equalized data A.

[0075]

[0076] In another possible embodiment, the orthogonal signals {r2, r3} are equalized using the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1, and the orthogonal signals {r3, r4} are equalized using the equalization weights obtained from the second set of orthogonal signals r2 to obtain equalized data D2. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the EVM from the equalized data A. In another possible embodiment, the orthogonal signal r2 is equalized based on the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the EVM from the equalized data A.

[0077]

[0078] In one embodiment, such as Figure 13 As shown, an example of a method for grouping probe reference signals into resource groups is presented. In the case of a non-comb structure, the probe reference signals are divided into four groups. Assume the symbol index of the probe reference signal is l, and the starting carrier index is k. s The end carrier index is k e Without loss of generality, assume the number of probe reference signals is a multiple of 4. In this case, y = 4, R = {r1, r2, r3, r4}, r1 = {(k s ,l),(k s +4,l),…,(k s +k e -3,l)},r2={(k s +1,l),(k s +5,l),…,(k s +k e -2,l)},r3={(k s +2,l),(k s +6,l),…,(k s +k e -1,l)},r4={(k s +3,l),(k s +7,l),…,(k s +k e ,l)}.

[0079] In one possible embodiment, the orthogonal signals {r2,r3,r4} are equalized using the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1; the orthogonal signals {r1,r3,r4} are equalized using the equalization weights obtained from the second set of orthogonal signals r2 to obtain equalized data D2; the orthogonal signals {r1,r2,r4} are equalized using the equalization weights obtained from the third set of orthogonal signals r3 to obtain equalized data D3; and the orthogonal signals {r1,r2,r3} are equalized using the equalization weights obtained from the fourth set of orthogonal signals r4 to obtain equalized data D4. The signal-to-interference-plus-noise ratio (SIR / Noise Ratio) is estimated by calculating the EVM from the equalized data A. In another possible embodiment, the orthogonal signals {r2, r3} are equalized using the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1, and the orthogonal signals {r3, r4} are equalized using the equalization weights obtained from the second set of orthogonal signals r2 to obtain equalized data D2. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the EVM from the equalized data A. In another possible embodiment, the orthogonal signal r2 is equalized based on the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the EVM from the equalized data A.

[0080] In one embodiment, such as Figure 14 As shown, an example of a method for grouping probe reference signals into resource groups is presented. In the case of a comb structure, the probe reference signals are divided into two groups. Assume the symbol indices of the probe reference signals are l1 and l2, and the starting carrier index is k. s The end carrier index is k e In this case, y = 2, R = {r1, r2}, r1 = {(k s ,l1),(k s +2,l1),…,(k s +k e ,l1)},r2={(k s +1,l2),(k s +2,l2),…,(k s +k e ,l2)}.

[0081] In one possible embodiment, the orthogonal signal {r2} is equalized using the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1, and the orthogonal signal {r1} is equalized using the equalization weights obtained from the second set of orthogonal signals r2 to obtain equalized data D2. The signal-to-interference-plus-noise ratio (SIR / NNR) is estimated by calculating the EVM from the equalized data A. In another possible embodiment, the orthogonal signal r2 is equalized based on the equalization weights obtained from the first set of orthogonal signals r1 to obtain equalized data D1. The signal-to-interference-plus-noise ratio (SIR) is estimated by calculating the EVM from the equalized data A.

[0082] The embodiments of the present invention have been described above with reference to the accompanying drawings, but this is not intended to limit the scope of the invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and spirit of the invention should be considered within the scope of the invention.

Claims

1. A method for detecting reference signal resource packets, characterized in that, Includes the following steps: S1. Receive the probe reference signal and divide it into... y Groups of mutually orthogonal orthogonal signals y A set of mutually orthogonal orthogonal signals is represented as a set R = { r 1, r 2,… r y },in r k Indicates the first k Group of orthogonal signals, k =1,2,…, y ; y It is an integer greater than or equal to 2; S2, according to the first k Group of orthogonal signals r k To obtain the equilibrium weights, and then apply them to the signal M k After balancing, the data D is obtained. k M k R / r k R equals { r 1, r 2,… r y }, R / r k It is R minus the first k The remaining orthogonal signals after the group of orthogonal signals. / represents subset operation, / represents difference operation; according to the first k Group of orthogonal signals r k Obtaining the equilibrium weights involves the following steps: S2.

1. Select a channel estimation method based on the probe reference signal to perform channel estimation; S2.

2. Based on the channel estimation results, select the equalization method to obtain the equalization weights; S3. Estimate the signal-to-interference-plus-noise ratio (SIR) by calculating the error vector magnitude (EVM) on the equalized data A, where A... {D1, …,D k ,…,D y }; S4. Communication is performed based on the estimated signal-to-interference-plus-noise ratio, as follows: When the estimated signal-to-interference-plus-noise ratio is lower than the threshold, it is determined that the beam is blocked, and a smart reflector is used to assist communication. When the estimated signal-to-interference-plus-noise ratio is higher than or equal to the threshold, it is determined that the beam is not blocked, and the smart reflector is not used for auxiliary communication. Threshold is a real number that takes values ​​in the range [-40dB, 40dB].

2. The method for detecting reference signal resource groups according to claim 1, characterized in that, In step S2.1, the channel estimation method includes least squares (LS) channel estimation, minimum mean squared error (MMSE) channel estimation, or channel estimation based on discrete Fourier transform (DFT).

3. The method for detecting reference signal resource groups according to claim 1, characterized in that, In step S2.2, the equalization method includes zero-force (ZF) equalization, minimum mean squared error (MMSE) equalization, or maximum likelihood (ML) equalization.

4. The method for detecting reference signal resource groups according to claim 1, characterized in that, In step S3, the error vector magnitude (EVM) is calculated as the difference between the signal defined in the physical layer specification and the actual transmitted signal.

5. An apparatus for implementing the method for detecting reference signal resource groups as described in claim 1, characterized in that, It includes a grouping module, an equalization module, and a signal-to-interference-plus-noise ratio (SINR) estimation module; The grouping module is used to divide the received probe reference signal into... y A group of mutually orthogonal orthogonal signals; the equalization module is used to determine the first group of orthogonal signals based on the second group of signals. k Group of orthogonal signals r k The obtained weights for signal M k After balancing, the data D is obtained. k M k R / r k R={ r 1, r 2,… r y }, ` / ` represents subset operation, and ` / ` represents difference operation; the signal-to-interference-plus-noise ratio (SIR) estimation module is used to estimate the SIR by calculating the EVM based on the equalized data A, where A... {D1, …,D k ,…,D y }

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