Method and system for quality of service assurance in massive MIMO network based on short code

Abstract

The application discloses a short code-based large-scale MIMO network service quality guarantee method and system, relates to the technical field of communication, and comprises the following steps: modeling the asymptotic behavior of the outage probability based on the large-scale MIMO signal, obtaining the outage probability; modeling the tail behavior of the outage probability by using the large deviation principle, describing the relationship between the outage probability index and the outage probability; updating the outage probability index; modeling the tail behavior of the short code error rate by using the large deviation principle, describing the asymptotic short code error rate service quality guarantee index under the condition of high signal-to-noise ratio based on the short code error rate service quality guarantee index; updating the asymptotic short code error rate service quality guarantee index; and obtaining the joint delay and reliability service quality guarantee index according to the updated outage probability index and the updated asymptotic short code error rate service quality guarantee index. The application can improve the service quality of the network.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of communication, and particularly relates to a short-code-based quality of service guarantee method and system for a large-scale MIMO network. BACKGROUND

[0002] With the wide application of 5G wireless communication networks and the continuous evolution of 6G wireless communication networks, mobile wireless communication systems are facing the core demand of large-scale ultra-reliable low-latency communication; this puts extremely stringent quality of service guarantee requirements on wireless communication networks, which are manifested as: the end-to-end latency must be extremely low (usually less than 1 millisecond level), the bit error rate must be extremely small (such as less than 10 -5 even 10 -7 ), and the system needs to support large-scale device access and high-speed dynamic channel environment.

[0003] In the prior art, in the large-scale ultra-reliable low-latency communication scenario, the traditional Shannon limit communication theory is no longer applicable, because actual services are mostly short packet transmission, and such transmission is often based on limited code length communication technology, the decoding performance of which has a non-zero error probability and is closely related to the codeword length, signal-to-noise ratio, modulation mode, etc. At the same time, large-scale multiple-input multiple-output technology has become a key support means for 6G, however, the system channel characteristics are highly randomized, manifested as fast fading, time-varying correlation, etc., which brings additional challenges to the quality of service analysis and guarantee of short packet communication.

[0004] Therefore, how to accurately characterize and control the statistical quality of service guarantee index of the dual constraints of latency and bit error rate under the condition of limited code length, and how to combine the random channel characteristics of large-scale MIMO to establish a systematic joint quality of service analysis and control theory framework, have become contradictions that need to be solved for future 6G networks. SUMMARY

[0005] In order to solve the above problems existing in the prior art, the application provides a short-code-based quality of service guarantee method and system for a large-scale MIMO network. The technical problems to be solved by the application are realized by the following technical solutions:

[0006] In a first aspect, the application provides a short-code-based quality of service guarantee method for a large-scale MIMO network, comprising:

[0007] Based on the large-scale MIMO signal, the asymptotic behavior of the outage probability is modeled to obtain the outage probability under high signal-to-noise ratio conditions;

[0008] The tail behavior of the outage probability is modeled by using a large deviation principle, and a relationship between an outage probability index and the outage probability is described, wherein the outage probability index is a function of a code rate and a diversity degree of a large-scale MIMO wireless channel, and is used to measure an exponential decay rate corresponding to the outage probability tending to infinity as the number of fading subchannels increases;

[0009] The outage probability index is updated in the case of high signal-to-noise ratio and in the case of the transmitting antennas and the receiving antennas tending to infinity.

[0010] The tail behavior of the short code error rate is modeled by using a large deviation principle, and an asymptotic short code error rate quality of service (QoS) guarantee index is described in the case of high signal-to-noise ratio based on a short code error rate QoS guarantee index, wherein the short code error rate QoS guarantee index is a function of a code rate and a large short code length, and is used to measure an exponential decay rate corresponding to the short code error rate tending to infinity as the code length increases.

[0011] The asymptotic short code error rate QoS guarantee index is updated in the case of the code length tending to infinity.

[0012] A joint delay and reliability QoS guarantee index is obtained according to the updated outage probability index and the updated asymptotic short code error rate QoS guarantee index.

[0013] In a second aspect, the present application further provides a large-scale MIMO network QoS guarantee system based on a short code, comprising:

[0014] An outage probability obtaining module is configured to model an asymptotic behavior of the outage probability based on a large-scale MIMO signal, and obtain the outage probability in the case of high signal-to-noise ratio.

[0015] A tail behavior modeling module is configured to model the tail behavior of the outage probability by using a large deviation principle, and describe a relationship between an outage probability index and the outage probability, wherein the outage probability index is a function of a code rate and a diversity degree of a large-scale MIMO wireless channel, and is used to measure an exponential decay rate corresponding to the outage probability tending to infinity as the number of fading subchannels increases.

[0016] An outage probability index updating module is configured to update the outage probability index in the case of high signal-to-noise ratio and in the case of the transmitting antennas and the receiving antennas tending to infinity.

[0017] The tail behavior modeling module of the short code error rate is used for modeling the tail behavior of the short code error rate by using the large deviation principle, and describing the asymptotic short code error rate quality of service guarantee index under the condition of high signal-to-noise ratio based on the short code error rate quality of service guarantee index; wherein the short code error rate quality of service guarantee index is a function of the coding rate and the large short code length, and is used for measuring the exponential decay rate of the corresponding short code error rate when the code length increases to infinity.

[0018] The asymptotic short code error rate quality of service guarantee index updating model is used for updating the asymptotic short code error rate quality of service guarantee index when the code length tends to infinity.

[0019] The joint index modeling module is used for obtaining the joint delay and reliability quality of service guarantee index according to the updated outage probability index and the updated asymptotic short code error rate quality of service guarantee index.

[0020] The beneficial effects of the present application are as follows:

[0021] The present application provides a short code-based large-scale MIMO network quality of service guarantee method and system, which combines the large-scale MIMO channel environment, designs an outage probability index function, and proposes a delay and reliability quality of service guarantee modeling and control method, and defines related control functions, so that more accurate joint quality of service guarantee and control can be realized under the condition of highly random large-scale MIMO channel, and the robustness of the system in complex wireless environment is improved.

[0022] In addition, the present application simultaneously considers the joint quality of service guarantee modeling of delay and error rate, does not need to independently calculate and analyze the coupling of two indexes, but introduces the joint delay and error rate statistical quality of service guarantee index, so that two types of performance indexes can be simultaneously constrained in the short packet communication scene, the real low delay and high reliability of large-scale ultra-reliable low delay service are guaranteed, and the service quality of the network is improved.

[0023] The present application will be further described in detail below in combination with the drawings and embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 is a flow chart of the short code-based large-scale MIMO network quality of service guarantee method provided by the embodiment of the present application;

[0025] Figure 2 is another flow chart of the short code-based large-scale MIMO network quality of service guarantee method provided by the embodiment of the present application;

[0026] Figure 3 is a diagram of the outage probability index function provided by the embodiment of the present application under different signal-to-noise ratios; A curve chart of the ratio change relationship;

[0027] Figure 4 A curve chart of the ratio change relationship between the service quality guarantee index of the asymptotic short code error rate and the code length

[0028] Figure 5 A curve chart of the ratio change relationship between the service quality guarantee index of the asymptotic short code error rate and the code length A curve chart of the ratio change relationship between the service quality guarantee index of the asymptotic short code error rate and the average signal-to-noise ratio;

[0029] Figure 6 A curve chart of the ratio change relationship between the joint service quality guarantee index of the delay and the error rate and the number of receiving antennas;

[0030] Figure 7 A curve chart of the ratio change relationship between the joint service quality guarantee index of the delay and the error rate and the number of receiving antennas; A curve chart of the ratio change relationship between the effective capacity and the code length A curve chart of the ratio change relationship between the effective capacity and the joint service quality guarantee index of the delay and the error rate. DETAILED DESCRIPTION

[0031] The present application will be further described in detail below in combination with specific embodiments, but the embodiments of the present application are not limited thereto.

[0032] Most of the prior art is based on a single evaluation index, lacks joint modeling of service quality guarantee indexes under a large-scale MIMO channel, and thus the service quality guarantee control cannot reflect the highly random channel characteristics of the large-scale MIMO, the reliability and low-delay guarantee are insufficient, and there is a lack of performance limit analysis and verification, and engineering application is insufficient.

[0033] Therefore, the present application provides a large-scale MIMO network service quality guarantee method and system based on a short code, proposes a statistical delay and error rate joint modeling and control method for a large-scale MIMO channel, can effectively depict and utilize the random characteristics of the channel, thereby effectively establishing an asymptotic performance limit analysis and verification method, quantitatively depicting the reliability, delay violation probability and effective capacity boundary under a large-scale ultra-reliable low-delay scenario, and improving the accuracy and reliability of the modeling results.

[0034] Please refer to Figure 1 and Figure 2 , Figure 1 A flow chart of the large-scale MIMO network service quality guarantee method based on a short code provided by an embodiment of the present application, Figure 2 Another flow chart of the large-scale MIMO network service quality guarantee method based on a short code provided by an embodiment of the present application, the large-scale MIMO network service quality guarantee method based on a short code provided by the present application comprises:

[0035] S101. Based on large-scale MIMO signals, the asymptotic behavior of the interruption probability is modeled to obtain the interruption probability under high signal-to-noise ratio conditions.

[0036] Specifically, in this embodiment, the approximation function of the interruption probability under high signal-to-noise ratio conditions is expressed as:

[0037] (1);

[0038] in, This represents the interruption probability under high signal-to-noise ratio conditions. Represents a probability function. , Indicates the number of transmitting antennas. Indicates the number of receiving antennas. Indicates the first One antenna, Indicates the signal-to-noise ratio of the transmitted signal. Indicates after the first Subchannel fading function of each antenna This represents the information drying ratio function. Indicates the signal transmission rate. Represents a logarithmic function.

[0039] S102. The large deviation principle is used to model the tail behavior of the outage probability and describe the relationship between the outage probability exponent and the outage probability. The outage probability exponent is a function of the coding rate and the diversity of the large-scale MIMO wireless channel, and is used to measure the exponential decay rate when the outage probability tends to infinity as the number of fading sub-channels increases.

[0040] Specifically, in this embodiment, the relationship between the interruption probability exponent and the interruption probability under high signal-to-noise ratio conditions is expressed as follows:

[0041] (2);

[0042] in, Indicates the probability index of interruption;

[0043] Obtain the interruption probability index The expression:

[0044] (3);

[0045] Among them, when the receiving antenna When the number of elements approaches infinity, the interruption probability... The rate of decrease is exponential, and the probability of interruption is... The larger the value, the lower the probability of interruption under high signal-to-noise ratio conditions. The symbol for a limit, This represents an exponential function.

[0046] S103. Under high signal-to-noise ratio conditions and when the transmitting and receiving antennas tend to be infinite, update the interruption probability index.

[0047] Specifically, in this embodiment, the updated interruption probability index is expressed as:

[0048] (4);

[0049] ;

[0050] in, Describing the degrees of freedom as Statistically independent chi-square random variables, This represents the channel capacity under high signal-to-noise ratio conditions. This represents a function for calculating variance.

[0051] S104. Using the large deviation principle, the tail behavior of the short code error rate is modeled. Based on the quality of service (QoS) guarantee index of the short code error rate, the QoS guarantee index of the asymptotic short code error rate under high signal-to-noise ratio is described. The QoS guarantee index of the short code error rate is a function of the coding rate and the long short code length, and is used to measure the exponential decay rate of the short code error rate as the code length increases and tends to infinity.

[0052] Specifically, in this embodiment, the Quality of Service Assurance Index for the asymptotic short code error rate is expressed as:

[0053] (5);

[0054] The service quality assurance index of asymptotically short code bit error rate under high signal-to-noise ratio conditions is expressed in closed form as follows:

[0055] (6);

[0056] in, Indicates the code length. The service quality assurance index represents the short code error rate. The service quality assurance index represents the bit error rate of the asymptotic short code. Indicates the number of transmitting antennas. Indicates the number of receiving antennas. Indicates the first One antenna, Indicates the signal-to-noise ratio of the transmitted signal. Indicates after the first The attenuation index of the sub-channels of each antenna, Represents the logarithmic function. Symbols representing limits.

[0057] In existing technologies, most quality of service (QoS) assurance theories are based on the assumption of unlimited code length. However, in large-scale ultra-reliable low-latency (mURLLC) services, short packet communication based on finite code length technology must be adopted. However, existing technologies lack systematic modeling methods under short packet communication conditions and cannot accurately describe core indicators such as outage probability, bit error rate, latency default probability, and effective capacity. This invention constructs a QoS assurance index that approximates the bit error rate of asymptotically short code length, and further establishes a system model and QoS assurance analysis framework based on finite code length to adapt to the future requirements of 6G ultra-reliable low-latency communication.

[0058] S105. When the code length approaches infinity, update the service quality assurance index of the asymptotic short code error rate.

[0059] Specifically, in this embodiment, the updated Quality of Service (QoS) index for the asymptotic short code error rate is expressed as:

[0060] (7);

[0061] in, This indicates the service quality assurance index that makes the short code error rate lower. Maximize the optimal Lagrange multipliers. ;

[0062] When the number of transmitting and receiving antennas approaches infinity, and the number of transmitting antennas is greater than or equal to the number of receiving antennas, under the condition that... and The updated Quality of Service Assurance Index for the asymptotic short code error rate is expressed as:

[0063] (8);

[0064] in, and Represents different presupposed rational numbers.

[0065] S106. Obtain the joint latency and reliability quality of service assurance index based on the updated outage probability index and the updated asymptotic short code error rate service quality assurance index.

[0066] Specifically, in this embodiment, the joint latency and reliability quality of service assurance index is expressed as:

[0067] (9);

[0068] in, denotes a joint latency and reliability service quality guarantee index, which is a metric that simultaneously counts the probability of latency upper bound violation and the error rate, denotes the maximum achievable coding rate, denotes the latency violation threshold, denotes the probability of non-empty queue, denotes the joint latency and short code error rate violation probability, denotes the code length, denotes the logarithmic function, denotes the exponential function, denotes the asymptotic short code error rate service quality guarantee index, denotes the signal-to-interference ratio function.

[0069] In the prior art, most of the research is focused on statistical latency service quality guarantee control, such as latency violation probability distribution, without fully considering the impact of non-zero decoding error rate in the limited code length communication scenario, resulting in the inability to provide statistical service quality guarantee for interrupt probability, latency and error rate in short packet communication and large-scale ultra-reliable low latency scenarios; the present application proposes a statistical service quality guarantee modeling and analysis method that can jointly characterize latency and short code error rate constraints by studying the tail behavior of the interrupt probability in large-scale MIMO systems, overcoming the shortcomings of single-dimensional analysis in the prior art.

[0070] In addition, as a key technology for future wireless networks, the random channel characteristics of large-scale MIMO have a significant impact on the statistical distribution of latency and error rate, and the prior art does not form a joint service quality guarantee modeling method for large-scale MIMO channels, resulting in a lack of reliable theoretical basis for service quality guarantee control. The present application constructs a joint latency and reliability service quality guarantee index to improve the control accuracy of service quality.

[0071] Further, in the present embodiment, it also includes:

[0072] According to the joint latency and reliability service quality guarantee index, the effective capacity is obtained The effective capacity is expressed as:

[0073] (10);

[0074] wherein, denotes the effective capacity, denotes the statistical average function based on the signal-to-interference ratio.

[0075] It should be noted that, The effective capacity is defined as the maximum arrival rate that can be supported by a given service process while simultaneously satisfying the statistical latency and error rate service quality guarantee constraints under the limited code length mechanism.

[0076] Please refer to Figure 2 In this embodiment, in the service layer, the demand of a user for massive ultra-reliable low latency (mURLLC) is acquired, in a theoretical analysis framework, based on random dynamic characterization and statistical QoS analysis, by analyzing outage probability index and bit error rate service quality guarantee index, a delay and bit error rate joint service quality guarantee index is further constructed to acquire effective capacity, and on this basis, under the assumption of signal-to-noise ratio limit, code length limit and antenna number limit, asymptotic analysis is performed to improve the service quality guarantee capability.

[0077] To sum up, the massive MIMO network service quality guarantee method based on short code provided by the application has the following beneficial effects:

[0078] Firstly, the application constructs an outage probability index for a massive MIMO architecture based on the tail behavior law of the outage probability of a massive MIMO channel, takes it as a function of the coding rate and the diversity degree of the massive MIMO wireless channel, and uses it to measure the exponential decay rate corresponding to the outage probability tending to infinity as the number of fading subchannels increases, and studies its asymptotic approximation function; in a multi-antenna massive system, the outage probability index is modeled and the performance limit is derived in combination with the random channel characteristics, and the mathematical relationship between the outage probability index and the number of receiving antennas is analyzed.

[0079] Secondly, the application constructs an asymptotic short code bit error rate service quality guarantee index suitable for a massive MIMO random channel environment based on the analysis framework of the short code bit error rate service quality guarantee index; in a multi-antenna massive system, the asymptotic short code bit error rate service quality guarantee index is modeled and the performance limit is derived in combination with the short code transmission technology and the random channel characteristics.

[0080] Thirdly, the application proposes a joint delay and reliability service quality guarantee index and control function, and an effective capacity acquisition function to improve the control accuracy of the service quality.

[0081] Based on the same inventive concept, the application also provides a massive MIMO network service quality guarantee system based on short code, which is used to implement the massive MIMO network service quality guarantee method based on short code provided by the above-mentioned embodiments of the application, and the embodiments of the method can be referred to above, which will not be described here again; the system comprises:

[0082] an outage probability acquisition module configured to model the asymptotic behavior of the outage probability based on a massive MIMO signal, and obtain the outage probability under a high signal-to-noise ratio condition;

[0083] The tail behavior modeling module for outage probability is used to model the tail behavior of outage probability using the large deviation principle, describing the relationship between the outage probability exponent and the outage probability. The outage probability exponent is a function of the coding rate and the diversity of the massive MIMO wireless channel, and is used to measure the exponential decay rate corresponding to the outage probability as the number of fading sub-channels increases.

[0084] The interruption probability index update model is used to update the interruption probability index under high signal-to-noise ratio conditions and when the transmitting and receiving antennas tend to be infinite.

[0085] The short code error rate tail behavior modeling module is used to model the tail behavior of the short code error rate using the large deviation principle. Based on the service quality assurance index of the short code error rate, it describes the service quality assurance index of the asymptotic short code error rate under high signal-to-noise ratio conditions. The service quality assurance index of the short code error rate is a function of the coding rate and the long short code length, and is used to measure the exponential decay rate of the short code error rate as the code length increases and tends to infinity.

[0086] The Service Quality Assurance Index Update Model for Asymptotic Short Code Error Rate is used to update the Service Quality Assurance Index of Asymptotic Short Code Error Rate when the code length tends to infinity.

[0087] The joint index modeling module is used to obtain the joint latency and reliability service quality assurance index based on the updated outage probability index and the updated asymptotic short code error rate service quality assurance index.

[0088] In an optional embodiment of the present invention, the effectiveness of the short-code-based quality of service assurance method for large-scale MIMO networks provided in the above embodiment is verified through simulation experiments, specifically as follows:

[0089] Please see Figure 3 , Figure 3 The interruption probability exponential function provided in this embodiment of the invention under different signal-to-noise ratios varies with... A graph showing the relationship between the ratio and the signal-to-noise ratio (SNR), where, for a given average coding rate, the outage-probability exponent function increases with increasing SNR; simultaneously, the value of the outage-probability exponent function increases with... It decreases as it increases, that is, when At that time, the interruption probability exponent approaches 0.

[0090] Please see Figure 4 , Figure 4This is a graph showing the relationship between the Quality of Service (QoS) Exponent Function (QFS) of the asymptotic short code bit error rate and the number of receiving antennas, provided by an embodiment of the present invention. Under the condition of finite code length and signal-to-noise ratio approaching infinity, the QFS of the asymptotic short code bit error rate decreases with the increase of the number of receiving antennas.

[0091] Please see Figure 5 , Figure 5 The Quality of Service (QoS) assurance index for the asymptotic short code error rate provided in this embodiment of the invention varies with code length. A graph showing the relationship between the average signal-to-noise ratio and the asymptotic error rate (BER) and the Quality of Service (QoS) Exponent Function (QoS) as a function of the BER length. The service quality assurance index of the asymptotic short code error rate decreases as the average signal-to-noise ratio (ANR) increases.

[0092] Please see Figure 6 , Figure 6 This is a graph illustrating the relationship between the joint delay / error-rate QoS exponent and the number of receiving antennas, as provided in this embodiment of the invention. In the performance modeling scheme using a finite code length, the joint delay / error-rate QoS exponent decreases with increasing number of receiving antennas. Given a large delay violation threshold... The system is able to achieve a lower joint quality of service index with lower latency and bit error rate, indicating that the decay rate of the joint quality of service index is slower, and that the system can tolerate longer latency and higher bit error rate.

[0093] Please see Figure 7 , Figure 7 This is provided by the embodiments of the present invention. Effective capacity varies with code length A graph showing the relationship between latency and bit error rate in the joint Quality of Service Assurance Index, given a certain error probability. Effective capacity It is a decreasing function of the joint quality of service assurance index of latency and bit error rate, indicating that when , At that time, respectively, The upper and lower bounds of the effective capacity.

[0094] It should be noted that, in the present document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process or method. Elements denoted by the phrase "comprising a" do not exclude the presence of additional identical elements in the process or method comprising the elements. The articles "a", "an", and "the" are used herein to refer to one or to more than one (i.e. to at least one) of the grammatical object of the article. By the use of the term "about" followed by a value and / or term, such as "about 10%" and / or "about 10%" is intended to convey that the particular value or

[0095] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific feature or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. Illustrative expressions of the above terms in the present specification do not necessarily refer to the same embodiment or example. Also, the specific features or characteristics described can be combined in any appropriate manner in one or more embodiments or examples. In addition, a person skilled in the art can combine and combine different embodiments or examples described in the present specification.

[0096] The above is a further detailed description of the present invention in combination with specific preferred embodiments, and the specific implementation of the present invention cannot be limited to these descriptions. For those of ordinary skill in the art, without departing from the concept of the present invention, a number of simple deductions or replacements can be made, which should be considered as falling within the scope of protection of the present invention.

Claims

1. A short code-based quality of service guarantee method for massive MIMO network, characterized in that, The method comprises the following steps: Based on the massive MIMO signal, the asymptotic behavior of the outage probability is modeled, and the outage probability under high signal-to-noise ratio is obtained; the approximation function of the outage probability under high signal-to-noise ratio is expressed as: ； wherein denotes the outage probability for high signal-to-noise ratio, denotes the probability function, , denotes the number of transmit antennas, denotes the number of receive antennas, denotes the th antenna, denotes the signal-to-noise ratio of the transmit signal, denotes the attenuation exponent of the subchannel through the th antenna, denotes the signal-to-interference ratio function, denotes the signal transmission rate, denotes the logarithm function; The tail behavior of the outage probability is modeled by using the large deviation principle, and the relationship between the outage probability index and the outage probability is described; wherein the outage probability index is a function of the coding rate and the diversity degree of the massive MIMO wireless channel, and is used to measure the exponential decay rate corresponding to the case that the outage probability tends to infinity as the number of fading subchannels increases; the tail behavior of the outage probability is modeled by using the large deviation principle, and the relationship between the outage probability index and the outage probability under high signal-to-noise ratio is described, including: The relationship between the outage probability index and the outage probability under high signal-to-noise ratio is expressed as: ； wherein, represents the index of interruption probability; Acquiring an outage probability index Expression of: ； Wherein, when the receiving antenna When the number of interruptions approaches infinity, the interruption probability... The rate represented decays exponentially, and the interruption probability... The larger the value, the lower the interruption probability under the high signal-to-noise ratio condition. The symbol for a limit, Represents an exponential function; In the case of high signal-to-noise ratio and infinite transmit antennas and receive antennas, the outage probability index is updated; The tail behavior of the short code error rate is modeled by using the large deviation principle, and the quality of service guarantee index of the short code error rate is used to describe the asymptotic short code error rate under high signal-to-noise ratio; wherein the quality of service guarantee index of the short code error rate is a function of the coding rate and the short code length, and is used to measure the exponential decay rate of the short code error rate corresponding to the case that the code length increases to infinity; In the case of infinite code length, the quality of service guarantee index of the asymptotic short code error rate is updated; the quality of service guarantee index of the asymptotic short code error rate is expressed as: ； The closed-form solution of the quality of service guarantee index of the asymptotic short code error rate under high signal-to-noise ratio is expressed as: ； wherein denotes the code length, denotes the quality of service index for the short code error rate, denotes the quality of service index for the asymptotic short code error rate, denotes the number of transmit antennas, denotes the number of receive antennas, denotes the th antenna, denotes the signal-to-noise ratio of the transmit signal, denotes the attenuation index of the subchannel through the th antenna, denotes the logarithm function, denotes the symbol for the limit; According to the updated outage probability index and the updated quality of service guarantee index of the asymptotic short code error rate, a joint delay and reliability quality of service guarantee index is obtained; the joint delay and reliability quality of service guarantee index is expressed as: ； wherein, denotes the joint latency and reliability quality of service index, denotes the maximum achievable coding rate, denotes the latency violation threshold, denotes the probability of a non-empty queue, denotes the joint latency and short code error probability violation probability, denotes the code length, denotes the logarithm function, denotes the exponential function, denotes the quality of service index for asymptotic short code error probability, denotes the signal to interference ratio function. 2.The short-code based massive MIMO network QoS guarantee method of claim 1, wherein, In the case of high signal-to-noise ratio and infinite transmit antennas and receive antennas, the outage probability index is updated, including: The updated outage probability index is expressed as: ； ； wherein, denotes a statistically independent chi-square random variable with degrees of freedom, denotes the channel capacity under high signal-to-noise ratio conditions, denotes a function that computes the variance. 3.The short-code based massive MIMO network QoS guarantee method of claim 1, wherein, In the case of infinite code length, the quality of service guarantee index of the asymptotic short code error rate is updated, including: The updated quality of service guarantee index of the asymptotic short code error rate is expressed as: ； wherein, denotes an optimal Lagrange multiplier that maximizes the short code bit error rate quality of service protection index denotes an optimal Lagrange multiplier that maximizes the short code bit error rate quality of service protection index ; When the transmitting antennas and the receiving antennas tend to infinity, and the number of the transmitting antennas is greater than or equal to the number of the receiving antennas, the updated quality of service index of the asymptotic short code error rate is represented as: and ​ ； wherein and denote different predetermined rational numbers. 4.The short-code based massive MIMO network QoS guarantee method of claim 1, wherein, Further comprising: According to the joint latency and reliability quality of service guarantee index, obtaining - an effective capacity, expressed as: ； wherein denotes - the effective capacity, denotes a statistical average function based on the signal-to-dry ratio. 5.A short code based massive MIMO network quality of service assurance system, characterized in that, The method comprises the following steps: The outage probability acquisition module is configured to model the asymptotic behavior of the outage probability based on the massive MIMO signal, and obtain the outage probability under high signal-to-noise ratio; the approximation function of the outage probability under high signal-to-noise ratio is expressed as: ； in, This represents the interruption probability under high signal-to-noise ratio conditions. Represents a probability function. , Indicates the number of transmitting antennas. Indicates the number of receiving antennas. Indicates the first One antenna, Indicates the signal-to-noise ratio of the transmitted signal. Indicates after the first The attenuation index of the sub-channels of each antenna, This represents the information drying ratio function. Indicates the signal transmission rate. Represents a logarithmic function; The tail behavior modeling module of the outage probability is configured to model the tail behavior of the outage probability by using the large deviation principle, and describe the relationship between the outage probability index and the outage probability; wherein the outage probability index is a function of the coding rate and the diversity degree of the massive MIMO wireless channel, and is used to measure the exponential decay rate corresponding to the case that the outage probability tends to infinity as the number of fading subchannels increases; the tail behavior of the outage probability is modeled by using the large deviation principle, and the relationship between the outage probability index and the outage probability under high signal-to-noise ratio is described, including: The relationship between the outage probability index and the outage probability in the high signal-to-noise ratio case is expressed as: ； wherein, represents the index of interruption probability; Acquiring an outage probability index Expression: ； wherein the outage probability decreases exponentially with the number of receive antennas decreases exponentially with the number of receive antennas decreases exponentially with the number of receive antennas denotes the limit symbol, denotes the exponential function. An outage probability index updating model is configured to update the outage probability index in the high signal-to-noise ratio case and when the transmitting antenna and the receiving antenna tend to infinity; A tail behavior modeling module of a short code error rate is configured to model tail behavior of the short code error rate by using a large deviation principle, and describe an asymptotic short code error rate quality of service guarantee index in the high signal-to-noise ratio case based on a short code error rate quality of service guarantee index; the short code error rate quality of service guarantee index is a function of a code rate and a large short code length, and is used to measure an exponential decay rate of the corresponding short code error rate when the code length increases to infinity; An asymptotic short code error rate quality of service guarantee index updating model is configured to update the asymptotic short code error rate quality of service guarantee index when the code length tends to infinity; the asymptotic short code error rate quality of service guarantee index is expressed as: ； A closed-form solution of the asymptotic short code error rate quality of service guarantee index in the high signal-to-noise ratio case is expressed as: ； wherein denotes the code length, denotes the quality of service index of the short code error rate, denotes the quality of service index of the asymptotic short code error rate, denotes the number of transmit antennas, denotes the number of receive antennas, denotes the th antenna, denotes the signal-to-noise ratio of the transmit signal, denotes the attenuation index of the subchannel through the th antenna, denotes the logarithm function, denotes the symbol of the limit; A joint index modeling module is configured to obtain a joint delay and reliability quality of service guarantee index according to the updated outage probability index and the updated asymptotic short code error rate quality of service guarantee index; the joint delay and reliability quality of service guarantee index is expressed as: ； wherein, denotes the joint latency and reliability quality of service index, denotes the maximum achievable coding rate, denotes the latency violation threshold, denotes the probability of a non-empty queue, denotes the joint latency and short code error rate violation probability, denotes the code length, denotes the logarithm function, denotes the exponential function, denotes the quality of service index for asymptotic short code error rate, denotes the signal to interference ratio function.

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