CN106685491A - Method and device for determining energy efficiency data of a large-scale multiple-input multiple-output system - Google Patents

Abstract

Embodiments of the invention disclose a determination method of large-scale multiple-input multiple-output system energy efficiency data and an apparatus thereof. The determination method comprises the following steps of acquiring pre-established Massive MIMO system energy efficiency data possessing a Massive MIMO system uplink transmission parameter; through presetting a first algorithm, acquiring a first value of a pilot frequency sequence length parameter satisfying a preset condition, a second value of a target transmission signal to noise ratio parameter, a third value of a base station antenna quantity parameter and a fourth value of a user quantity parameter accessing a base station respectively; and according to the first value, the second value, the third value, the fourth value and the Massive MIMO system energy efficiency data, determining an optimal energy efficiency value of the Massive MIMO system energy efficiency data. In the embodiments of the invention, through the acquired system uplink transmission parameter, Massive MIMO system energy efficiency can reach an optimal value.

Description

Method and device for determining energy efficiency data of a large-scale multiple-input multiple-output system

technical field

The invention relates to the technical field of wireless communication, in particular to a method and device for determining energy efficiency data of a large-scale multiple-input multiple-output system.

Background technique

In recent years, a variety of multimedia services have emerged, and smart devices such as smartphones, tablets, and smart wearables have become increasingly popular, and wireless network traffic has increased dramatically accordingly. At the same time, in order to cope with the ever-increasing traffic demand, more and more wireless communication systems and wireless communication nodes are deployed, resulting in the continuous increase of wireless network power consumption, and the corresponding carbon emissions are also increasing year by year. The next-generation wireless communication network 5G (5th-Generation, fifth-generation mobile communication technology) must greatly improve the overall transmission rate of the wireless network while effectively reducing the overall power consumption of the system to achieve the green and sustainable development of the wireless communication system.

Massive MIMO (Massive Multiple-Input Multiple-Output, large-scale multiple-input multiple-output) technology is the core key technology of 5G networks. By deploying a large number of antennas at the base station, it is possible to simultaneously transmit data to a large number of users in the same frequency band and the same time slot. Transmission, while effectively improving the spectral efficiency of the system, it also greatly reduces the radio frequency power consumption of the equipment required to transmit a unit of data. However, with the increase in the number of antennas and the number of access users, the energy consumption of the transceiver link between the base station and the user end also increases sharply. At the same time, the increase in the number of antennas and the number of users also requires the base station to perform channel estimation and signal processing. With more floating-point operations, system computing power consumption also increases dramatically. For this reason, in the prior art, an energy efficiency model of a Massive MIMO system is established, and an appropriate system parameter configuration is selected to obtain an optimal value of the established energy efficiency model.

There is a gap between the energy efficiency model of the Massive MIMO system established in the prior art and the actual system, so that the selected system parameters cannot obtain the optimal value of the system energy efficiency.

Contents of the invention

The purpose of the embodiments of the present invention is to provide a method and device for determining energy efficiency data of a massive multiple-input multiple-output Massive MIMO system, to obtain energy efficiency data close to an actual system, and to obtain an optimal Massive MIMO system energy efficiency value.

In order to achieve the above purpose, the embodiment of the present invention discloses a method for determining energy efficiency data of a Massive MIMO system, including:

Acquire pre-established Massive MIMO system energy efficiency data with Massive MIMO system uplink transmission parameters, wherein the uplink transmission parameters include at least: pilot sequence length parameters, target transmission signal-to-noise ratio parameters, base station antenna number parameters and access to the The number of users of the base station;

By presetting the first algorithm, the first value of the pilot sequence length parameter satisfying the first preset condition, the second value of the target transmission signal-to-noise ratio parameter satisfying the second preset condition, and the second value satisfying the first preset condition are respectively obtained. The third value of the parameter of the number of antennas of the base station according to the three preset conditions and the fourth value of the parameter of the number of users accessing the base station satisfying the fourth preset condition;

According to the first value, the second value, the third value, the fourth value and the Massive MIMO system energy efficiency data, determine that the value of the Massive MIMO system energy efficiency data is an optimal energy efficiency value.

In order to achieve the above purpose, the embodiment of the present invention also discloses a device for determining energy efficiency data of a Massive MIMO system, including:

A system energy efficiency data acquisition module, configured to acquire pre-established Massive MIMO system energy efficiency data with Massive MIMO system uplink transmission parameters, wherein the uplink transmission parameters at least include: pilot sequence length parameters, target transmission signal-to-noise ratio parameters, base station A parameter of the number of antennas and a parameter of the number of users accessing the base station;

An uplink transmission parameter determination module, configured to obtain the first value of the pilot sequence length parameter satisfying the first preset condition and the target transmission signal-to-noise ratio satisfying the second preset condition respectively by preset the first algorithm The second value of the parameter, the third value of the parameter of the number of antennas of the base station meeting the third preset condition, and the fourth value of the parameter of the number of users accessing the base station meeting the fourth preset condition;

An optimal energy efficiency determination module, configured to determine the energy efficiency data of the Massive MIMO system according to the first value, the second value, the third value, the fourth value, and the energy efficiency data of the Massive MIMO system The value is the optimal energy efficiency value.

It can be seen from the above technical solution that the energy efficiency of the Massive MIMO system in the embodiment of the present invention has a pilot sequence length parameter, a target transmission signal-to-noise ratio parameter, a parameter of the number of base station antennas and a parameter of the number of users accessing the base station, compared with the prior art The energy efficiency data closer to the actual system is obtained. The energy efficiency of the Massive MIMO system includes the length of the uplink pilot sequence in the actual system. On the one hand, a more accurate average uplink transmission rate of the actual system users is obtained, thereby obtaining more reasonable energy efficiency data. On the other hand, by optimizing the length of the pilot sequence, channel estimation and pilot overhead are balanced to further improve the overall energy efficiency of the system. The energy efficiency parameter calculation method proposed by the embodiment of the present invention has fast convergence and superior performance, and the obtained system uplink transmission parameters can make the energy efficiency of the Massive MIMO system reach an optimal value. Of course, implementing any product or method of the present invention does not necessarily need to achieve all the above-mentioned advantages at the same time.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic flowchart of a method for determining energy efficiency data of a Massive MIMO system according to an embodiment of the present invention;

FIG. 2 is a schematic flow diagram of obtaining energy efficiency data of a Massive MIMO system according to an embodiment of the present invention;

FIG. 3 is a schematic flowchart of a method for determining uplink transmission parameters according to an embodiment of the present invention;

4 is a schematic structural diagram of a device for determining energy efficiency data of a Massive MIMO system according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of uplink transmission of a massive multiple-input multiple-output Massive MIMO system according to an embodiment of the present invention;

Fig. 6 is the simulation schematic diagram of alternate iteration and golden section algorithm of the embodiment of the present invention;

Fig. 7 is a schematic diagram of the performance comparison between the alternate iteration and the golden section algorithm and the exhaustive search algorithm of the embodiment of the present invention;

FIG. 8 is a schematic diagram of system energy efficiency comparison between the method for determining energy efficiency data according to the embodiment of the present invention and the method for optimizing energy efficiency parameters in the prior art.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Fig. 1 is a schematic flow chart of a method for determining energy efficiency data of a massive multiple-input multiple-output Massive MIMO system according to an embodiment of the present invention, the method comprising:

Step 101, acquiring pre-established Massive MIMO system energy efficiency data with Massive MIMO system uplink transmission parameters.

Preferably, the uplink transmission parameters at least include: a pilot sequence length parameter, a target transmission signal-to-noise ratio parameter, a parameter of the number of base station antennas, and a parameter of the number of users accessing the base station.

The pilot sequence length parameter and the target transmission SNR parameter are parameters that must be obtained in advance when the base station performs downlink precoding transmission. The optimization of these two parameters directly affects the energy efficiency of the Massive MIMO system. Therefore, the energy efficiency of the established Massive MIMO system with the above parameters.

Step 102, by presetting the first algorithm, obtain the first value of the pilot sequence length parameter satisfying the first preset condition and the second value of the target transmission signal-to-noise ratio parameter satisfying the second preset condition respectively , a third value of the parameter of the number of antennas of the base station meeting a third preset condition, and a fourth value of the parameter of the number of users accessing the base station meeting a fourth preset condition.

In the embodiment of the present invention, the uplink transmission parameters that can optimize the energy efficiency of the system are obtained by using the alternate iteration and golden section algorithm, according to the first preset condition, the second preset condition, the third preset condition, and The fourth preset condition is that the uplink transmission parameters converge.

Step 103, according to the first value, the second value, the third value, the fourth value and the Massive MIMO system energy efficiency data, determine that the value of the Massive MIMO system energy efficiency data is the optimal energy efficiency value.

Applying the embodiment of the present invention, since the energy efficiency of the Massive MIMO system has the parameters of the length of the pilot sequence, the parameter of the target transmission signal-to-noise ratio, the parameter of the number of base station antennas and the number of users accessing the base station, compared with the prior art, it is closer to The energy efficiency data of the actual system. The energy efficiency of the Massive MIMO system includes the length of the uplink pilot sequence in the actual system. On the one hand, a more accurate average uplink transmission rate of the actual system users is obtained, thereby obtaining more reasonable energy efficiency data. The length of the pilot sequence is optimized to balance channel estimation and pilot overhead, further improving the overall energy efficiency of the system.

FIG. 2 is a schematic flow diagram of obtaining energy efficiency data of a Massive MIMO system according to an embodiment of the present invention, including:

Step 201: Determine the average uplink transmission rate of each user accessing the base station according to the uplink transmission parameters.

Preferably, said determining the average uplink transmission rate of each user accessing the base station includes:

Obtaining basic system parameters of the Massive MIMO system, wherein the basic system parameters include at least: an overall bandwidth parameter, and a parameter of the number of symbols transmitted in a coherent resource block;

According to the uplink transmission parameters, the basic system parameters and the formula

Determine the average uplink transmission rate of each user accessing the base station;

Wherein, the R _k is the average uplink transmission rate of each user accessing the base station, the τ is the pilot sequence length parameter, the T is the number of symbols transmitted in the coherent resource block, and the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the B is the overall bandwidth parameter, the M is the number of base station antennas, the K is the number of users accessing the base station, the ρ is the target transmission signal-to-noise ratio parameter.

Step 202: Obtain the total uplink transmission rate of the Massive MIMO system according to the average uplink transmission rate of each user.

Preferably, the formula used to obtain the total uplink transmission rate of the Massive MIMO system is:

Wherein, the R _tot is the total uplink transmission rate of the Massive MIMO system, the R _k is the average uplink transmission rate of each user accessing the base station, the τ is a pilot sequence length parameter, and the T is the number of symbols transmitted in coherent resource blocks, the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the K is the number of users accessing the base station, the B is the overall bandwidth parameter, and the M is the number of base station antennas. ρ is the target transmission signal-to-noise ratio parameter.

Step 203, obtaining the total system power consumption of the Massive MIMO system;

Preferably, the obtaining the total system power consumption of the Massive MIMO system includes:

Obtain system power consumption parameters of the Massive MIMO system, wherein the system power consumption parameters at least include: system power amplifier power consumption coefficient parameters, system circuit power consumption user correlation coefficient parameters, system circuit power consumption user antenna joint correlation coefficient parameters, System circuit power consumption rate correlation coefficient parameters;

According to the system power consumption parameters and formula

Obtain the total system power consumption of the Massive MIMO system;

Wherein, the P _tot is the total system power consumption of the Massive MIMO system, the δ is the system power amplifier power consumption coefficient, the K is the number of users accessing the base station parameter, and the ρ is the target transmission signal-to-noise ratio parameter, the δKρ is the power consumption of the power amplifier at the user end, and the is the system circuit power consumption user correlation coefficient parameter, and the M is the number parameter of the base station antenna, and the is the system circuit power consumption user antenna joint correlation coefficient parameter, the is the system circuit power consumption rate correlation coefficient parameter, the R _tot is the total uplink transmission rate of the system, and the is the power consumption of the circuit.

Step 204: Establish the energy efficiency data of the MassiveMIMO system according to the ratio of the total uplink transmission rate to the total power consumption of the system.

Preferably, the form of the Massive MIMO system energy efficiency data is:

Wherein, the EE is the energy efficiency data of the Massive MIMO system, the R _tot is the total uplink transmission rate of the system, the P _tot is the total power consumption of the system, and the τ is a pilot sequence length parameter , the T is a parameter of the number of symbols transmitted in the coherent resource block, and the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the K is the number of users accessing the base station, the B is the overall bandwidth parameter, and the M is the number of base station antennas. ρ is the target transmission signal-to-noise ratio parameter, the δ is the power consumption coefficient of the system power amplifier, the δKρ is the power consumption of the user end power amplifier, and the is the user correlation coefficient parameter for system circuit power consumption, the is the system circuit power consumption user antenna joint correlation coefficient parameter, the is the system circuit power consumption rate correlation coefficient parameter, the is the power consumption of the circuit.

By applying the embodiment of the present invention, a more practical and reasonable energy efficiency parameter optimization model is obtained. Since the obtained uplink transmission parameters of the Massive MIMO system include the length of the uplink pilot sequence, the obtained system energy efficiency data is more reasonable and better. In addition, by applying the embodiment of the present invention, the obtained uplink transmission parameters of the system can make the energy efficiency of the Massive MIMO system reach an optimal value, and the calculation method has fast convergence.

Fig. 3 is a schematic flowchart of a method for determining uplink transmission parameters according to an embodiment of the present invention, including:

Step 301, respectively assigning values of other parameters in the uplink transmission parameters except the first parameter as first preset constants, correspondingly obtaining the first parameter calculation formula.

Preferably, the first parameter is any one of the pilot sequence length parameter, the target transmission signal-to-noise ratio parameter, the number of base station antennas parameter, and the number of users accessing the base station parameter.

Step 302: Obtain the value of the first parameter among the uplink transmission parameters at the current moment according to the first parameter calculation formula and the second preset algorithm.

Preferably, the second preset algorithm is the golden section algorithm, and the golden section algorithm includes:

The first step is to obtain the parameter range of each parameter in the uplink transmission parameters, and determine the original upper limit value, original lower limit value and parameter calculation formula corresponding to each parameter according to the parameter range;

The second step is to compare the difference between the original upper limit value and the original lower limit value with the preset iteration tolerance error, and when the difference is greater than the preset iteration tolerance error, the formula is obtained: u ₁ = u ^low +0.382×(u ^up −u ^low ) and u ₂ =u ^low +0.618×(u ^up −u ^low );

In the third step, respectively substituting the u ₁ and the u ₂ into the parameter calculation formula to obtain the first calculation result and the second calculation result correspondingly;

In the fourth step, when the first calculation result is greater than or equal to the _second calculation result, the u2 is replaced with the original upper limit;

In the fifth step, when the first calculation result is less than the second calculation result, the u ₁ is replaced with the original lower limit value;

The sixth step is to obtain the value of each parameter in the uplink transmission parameters according to the formula u ^* =(u ^up +u ^low )/2;

Wherein, u ^low is the lower limit value of each parameter in the uplink transmission parameters, u ^up is the upper limit value of each parameter in the uplink transmission parameters, and u ₁ is a new lower limit value obtained by the golden section formula Limit value, u ₂ is the new upper limit value obtained by the golden section formula.

Step 303, respectively reassigning the values of other parameters in the uplink transmission parameters except the second parameter and the first parameter as the second preset constant, and according to the value of the first parameter, correspondingly obtain the second Parameter calculation formula.

Preferably, the second parameter is the parameter of the length of the pilot sequence, the parameter of the target transmission signal-to-noise ratio, the parameter of the number of antennas of the base station, and the parameter of the number of users accessing the base station, except for the second parameter. Any one other than one parameter.

Step 304: Obtain the value of the second parameter among the uplink transmission parameters at the current moment according to the second parameter calculation formula and the second preset algorithm.

Step 305, reallocating the value of the fourth parameter among the uplink transmission parameters as a third preset constant, and correspondingly obtaining a third parameter calculation formula according to the value of the first parameter and the value of the second parameter.

Preferably, the third parameter is the parameter of the length of the pilot sequence, the parameter of the target transmission signal-to-noise ratio, the parameter of the number of antennas of the base station, and the parameter of the number of users accessing the base station, except for the second parameter. One parameter, any one other than the second parameter.

Step 306: Obtain the value of the third parameter among the uplink transmission parameters at the current moment according to the calculation formula of the third parameter and the second preset algorithm.

Step 307, according to the value of the first parameter, the value of the second parameter, and the value of the third parameter, correspondingly obtain a fourth parameter calculation formula.

Preferably, the first parameter, the second parameter, the third parameter and the fourth parameter are different parameters.

Step 308: Obtain the value of the fourth parameter among the uplink transmission parameters at the current moment according to the calculation formula of the fourth parameter and the second preset algorithm.

Step 309, repeating steps 301 to 308 until the first value of the pilot sequence length parameter satisfying the first preset condition and the second value of the target transmission signal-to-noise ratio parameter satisfying the second preset condition are respectively obtained. A numerical value, a third numerical value of the parameter of the number of antennas of the base station meeting the third preset condition, and a fourth numerical value of the parameter of the number of users accessing the base station meeting the fourth preset condition.

Preferably, the first preset condition is that the absolute value of the difference between the first value at the current moment and the first value at the previous moment is less than a preset first threshold value, and the second preset condition The absolute value of the difference between the second value at the current moment and the second value at the previous moment is less than a preset second threshold value, and the third preset condition is that the third value at the current moment and The absolute value of the difference between the third numerical value at the previous moment is smaller than the preset third threshold value, and the fourth preset condition is the difference between the fourth numerical value at the current moment and the fourth numerical value at the previous moment. The absolute value of the difference is smaller than the preset fourth threshold value.

By applying the embodiment of the present invention, the first value of the pilot sequence length parameter, the second value of the target transmission signal-to-noise ratio parameter, the third value of the base station antenna number parameter, and the access to the The fourth value of the parameter of the number of users of the base station, through which the optimal value of energy efficiency of the Massive MIMO system can be obtained. And it can be obtained through this embodiment that the parameters have a relatively high fast convergence.

FIG. 4 is a schematic structural diagram of a device for determining energy efficiency data of a Massive MIMO system according to an embodiment of the present invention, including:

The system energy efficiency data acquisition module 401 is configured to acquire the pre-established Massive MIMO system energy efficiency data with Massive MIMO system uplink transmission parameters, wherein the uplink transmission parameters include at least: pilot sequence length parameters, target transmission signal-to-noise ratio parameters, A parameter of the number of base station antennas and a parameter of the number of users accessing the base station.

The uplink transmission parameter determination module 402 is configured to respectively obtain the first value of the pilot sequence length parameter satisfying the first preset condition and the target transmission signal noise satisfying the second preset condition through a preset first algorithm. The second value of the ratio parameter, the third value of the parameter of the number of antennas of the base station meeting the third preset condition, and the fourth value of the parameter of the number of users accessing the base station meeting the fourth preset condition.

An optimal energy efficiency determining module 403, configured to determine the energy efficiency data of the Massive MIMO system according to the first value, the second value, the third value, the fourth value and the energy efficiency data of the Massive MIMO system The value of is the optimal energy efficiency value.

Applying the embodiment of the present invention, since the energy efficiency of the Massive MIMO system has the parameters of the length of the pilot sequence, the parameter of the target transmission signal-to-noise ratio, the parameter of the number of base station antennas and the number of users accessing the base station, compared with the prior art, it is closer to The energy efficiency data of the actual system. The energy efficiency of the Massive MIMO system includes the length of the uplink pilot sequence in the actual system. On the one hand, a more accurate average uplink transmission rate of the actual system users is obtained, thereby obtaining more reasonable energy efficiency data. The length of the pilot sequence is optimized to balance channel estimation and pilot overhead, further improving the overall energy efficiency of the system.

It should be noted that the device in the embodiment of the present invention is a device that applies the method for determining the energy efficiency data of the massive multiple-input multiple-output Massive MIMO system described above. Examples are applicable to the device, and can achieve the same or similar beneficial effects.

In the device for determining energy efficiency data of a Massive MIMO system according to another embodiment of the present invention, the system energy efficiency data acquisition module 401 includes:

The first submodule for determining the uplink transmission rate is used to determine the average uplink transmission rate of each user accessing the base station according to the uplink transmission parameters;

The second uplink transmission rate determining submodule is used to obtain the total uplink transmission rate of the Massive MIMO system according to the average uplink transmission rate of each user;

The total system power consumption acquisition sub-module is used to obtain the total system power consumption of the Massive MIMO system;

The system energy efficiency data establishing submodule is configured to establish the energy efficiency data of the Massive MIMO system according to the ratio of the total uplink transmission rate to the total power consumption of the system.

In another embodiment of the present invention, in the device for determining energy efficiency data of a Massive MIMO system, the first determining submodule of the uplink transmission rate includes:

A system basic parameter acquisition unit, configured to acquire system basic parameters of the Massive MIMO system, wherein the system basic parameters at least include: overall bandwidth parameters, parameters of the number of symbols transmitted in coherent resource blocks;

An uplink transmission rate determination unit, configured to determine the uplink transmission rate according to the uplink transmission parameters, the basic system parameters and the formula

Determine the average uplink transmission rate of each user accessing the base station;

Wherein, the R _k is the average uplink transmission rate of each user accessing the base station, the τ is the pilot sequence length parameter, the T is the number of symbols transmitted in the coherent resource block, and the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the B is the overall bandwidth parameter, the M is the number of base station antennas, the K is the number of users accessing the base station, the ρ is the target transmission signal-to-noise ratio parameter.

In another embodiment of the present invention, in the device for determining energy efficiency data of a Massive MIMO system, the second determination submodule of the uplink transmission rate includes:

According to the average uplink transmission rate of each user accessing the base station and the formula

Obtain the total uplink transmission rate of the Massive MIMO system;

Wherein, the R _tot is the total uplink transmission rate of the Massive MIMO system, the R _k is the average uplink transmission rate of each user accessing the base station, the τ is a pilot sequence length parameter, and the T is the number of symbols transmitted in coherent resource blocks, the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the K is the number of users accessing the base station, the B is the overall bandwidth parameter, and the M is the number of base station antennas. ρ is the target transmission signal-to-noise ratio parameter.

In the device for determining energy efficiency data of a Massive MIMO system according to another embodiment of the present invention, the sub-module for obtaining total power consumption of the system includes:

A system power consumption parameter acquisition unit, configured to acquire system power consumption parameters of the Massive MIMO system, wherein the system power consumption parameters at least include: system power amplifier power consumption coefficient parameters, system circuit power consumption user correlation coefficient parameters, system circuit Power consumption user antenna joint correlation coefficient parameters, system circuit power consumption rate correlation coefficient parameters;

The total system power consumption determination unit is used to determine the system power consumption parameters and formulas according to the system

Obtain the total system power consumption of the Massive MIMO system;

Wherein, the P _tot is the total system power consumption of the Massive MIMO system, the δ is the system power amplifier power consumption coefficient, the K is the number of users accessing the base station parameter, and the ρ is the target transmission signal-to-noise ratio parameter, the δKρ is the power consumption of the power amplifier at the user end, and the is the system circuit power consumption user correlation coefficient parameter, and the M is the number parameter of the base station antenna, and the is the system circuit power consumption user antenna joint correlation coefficient parameter, the is the system circuit power consumption rate correlation coefficient parameter, the R _tot is the total uplink transmission rate of the system, and the is the power consumption of the circuit.

In another embodiment of the present invention, in the device for determining energy efficiency data of a Massive MIMO system, the uplink transmission parameter determination module 402 includes:

The first allocating unit is configured to respectively allocate the values of other parameters in the uplink transmission parameters except the first parameter as a first preset constant, and correspondingly obtain a first parameter calculation formula, wherein the first parameter is the first parameter Any one of the pilot sequence length parameter, the target transmission signal-to-noise ratio parameter, the base station antenna number parameter, and the number of users accessing the base station parameter;

A first parameter determination unit, configured to obtain the value of the first parameter in the uplink transmission parameters according to the first parameter calculation formula and the second preset algorithm;

The second allocation unit is configured to re-allocate values of other parameters in the uplink transmission parameters except the second parameter and the first parameter as a second preset constant, and according to the value of the first parameter, A second parameter calculation formula is correspondingly obtained, wherein the second parameter is the pilot sequence length parameter, the target transmission signal-to-noise ratio parameter, the base station antenna number parameter, and the number of users accessing the base station any one of the parameters except said first parameter;

A second parameter determination unit, configured to obtain the value of the second parameter in the uplink transmission parameters according to the second parameter calculation formula and the second preset algorithm;

The third allocating unit is configured to reallocate the value of the fourth parameter among the uplink transmission parameters as a third preset constant, and correspondingly obtain the third parameter according to the value of the first parameter and the value of the second parameter A calculation formula, wherein the third parameter is a division of the pilot sequence length parameter, the target transmission signal-to-noise ratio parameter, the number of base station antennas parameter, and the number of users accessing the base station parameter Any one of the first parameter and the second parameter;

A third parameter determination unit, configured to obtain the value of the third parameter in the uplink transmission parameters according to the third parameter calculation formula and the second preset algorithm;

The fourth allocation unit is configured to obtain a fourth parameter calculation formula according to the value of the first parameter, the value of the second parameter, and the value of the third parameter, wherein the first parameter, the The second parameter, the third parameter and the fourth parameter are different parameters;

The fourth parameter determination unit is configured to obtain the value of the fourth parameter in the uplink transmission parameters according to the calculation formula of the fourth parameter and the second preset algorithm, until the derived parameters satisfying the first preset condition are respectively obtained. The first value of the frequency sequence length parameter, the second value of the target transmission signal-to-noise ratio parameter satisfying the second preset condition, the third value of the base station antenna number parameter satisfying the third preset condition, and the The fourth value of the parameter of the number of users accessing the base station of the fourth preset condition;

Wherein, the first preset condition is that the absolute value of the difference between the first value at the current moment and the first value at the previous moment is less than the preset first threshold value, and the second preset condition is that the first value at the current moment The absolute value of the difference between the two values and the second value at the previous moment is less than the second preset threshold value, and the third preset condition is the absolute value of the difference between the third value at the current moment and the third value at the previous moment The value is smaller than the preset third threshold value, and the fourth preset condition is that the absolute value of the difference between the fourth value at the current moment and the fourth value at the previous moment is smaller than the preset fourth threshold value.

In another embodiment of the present invention, in the apparatus for determining energy efficiency data of a Massive MIMO system, the first parameter determination unit, the second parameter determination unit, the third parameter determination unit, and the The second preset algorithm in the fourth parameter determination unit is the golden section algorithm, wherein the golden section algorithm includes:

Obtaining a parameter range of each parameter in the uplink transmission parameters, and determining an original upper limit value, an original lower limit value, and a parameter calculation formula corresponding to each parameter according to the parameter range;

Comparing the difference between the original upper limit value and the original lower limit value with the preset iteration tolerance error, when the difference is greater than the preset iteration tolerance error, the formula is obtained: u ₁ =u ^low +0.382 ×(u ^up -u ^low ) and u ₂ =u ^low +0.618×(u ^up -u ^low );

Respectively substituting said u1 and said u2 into said parameter calculation formulas to obtain a _first calculation result and a _second calculation result correspondingly;

When the first calculation result is greater than or equal to the second calculation result, replacing the original upper limit with the u ₂ ;

When the first calculation result is less than the second calculation result, replacing the original lower limit value with the u ₁ ;

According to the formula: u ^* =(u ^up +u ^low )/2, the value of each parameter in the uplink transmission parameters is obtained;

Wherein, the u ^low is the lower limit value of each parameter in the uplink transmission parameters, the u ^up is the upper limit value of each parameter in the uplink transmission parameters, and the u ₁ is the The new lower limit value obtained by the formula, and the u ₂ is the new upper limit value obtained by the golden section formula.

In the device for determining energy efficiency data of a Massive MIMO system according to another embodiment of the present invention, the system energy efficiency data establishment submodule includes:

According to the formula:

Establish energy efficiency data of the Massive MIMO system;

Wherein, the EE is the energy efficiency data of the Massive MIMO system, the R _tot is the total uplink transmission rate of the system, the P _tot is the total power consumption of the system, and the τ is a pilot sequence length parameter , the T is a parameter of the number of symbols transmitted in the coherent resource block, and the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the K is the number of users accessing the base station, the B is the overall bandwidth parameter, and the M is the number of base station antennas. ρ is the target transmission signal-to-noise ratio parameter, the δ is the power consumption coefficient of the system power amplifier, the δKρ is the power consumption of the user end power amplifier, and the is the user correlation coefficient parameter for system circuit power consumption, the is the system circuit power consumption user antenna joint correlation coefficient parameter, the is the system circuit power consumption rate correlation coefficient parameter, the is the power consumption of the circuit.

In another embodiment of the present invention, in the device for determining energy efficiency data of a Massive MIMO system, the optimal energy efficiency determination module 403 includes:

Substituting the first value, the second value, the third value, and the fourth value into the energy efficiency data of the Massive MIMO system, and determining the value of the energy efficiency data of the Massive MIMO system as an optimal energy efficiency value.

The details provided by the embodiments of the present invention will be described in detail below in conjunction with specific application examples. This embodiment is described in detail with reference to FIG. 5 .

FIG. 5 is a schematic diagram of an uplink transmission system of a Massive MIMO system according to an embodiment of the present invention.

The base station 501 collects the location distribution model parameters and the channel fading model parameters of the user 502, and calculates the expectation of the reciprocal channel fading of the user 502, namely

Among them, the is the expectation of the reciprocal channel fading of the user 502, the d _max is the cell radius, the d _min is the minimum distance parameter from the base station 501, the β ₀ is the unit distance standard fading, and the α is the channel fading coefficient.

The base station 501 measures the noise power of the receiving antenna, and collects the power consumption of the Massive MIMO system circuit, chip computing efficiency, system codec, and backhaul transmission efficiency to obtain the total power consumption of the Massive MIMO system:

Wherein, the P _tot is the total system power consumption of the Massive MIMO system, and the is the antenna noise power received by the base station 501, the ζ is the power amplifier efficiency of the user 502, the ρ is the target transmission signal-to-noise ratio parameter, and the is the reciprocal channel fading of user 502, the is the expectation of the reciprocal channel fading of user 502, the is the system circuit power consumption user correlation coefficient parameter and The P _FIX is the inherent power consumption of the system used for equipment cooling, control signaling transmission, etc., and has nothing to do with the configuration of the number of antennas and users 502 and the transmission rate. The P _SYN is the power consumption of the base station with a crystal oscillator, and the P _UE is the power consumption of the user The hardware facilities of 502 include the power consumption of low-noise amplifiers, direct frequency amplifiers, filters, and analog-to-digital converters, etc., the B is the overall bandwidth parameter, the T is the number of symbols transmitted in the coherent resource block, and the L _BS is the calculation efficiency of the chip, the K is the parameter of the number of users 502 accessing the base station 501, the M is the parameter of the number of antennas of the base station 501, and the is the system circuit power consumption user antenna joint correlation coefficient parameter and The P _BS is the energy consumption of the digital-to-analog converters, mixers, filters, etc. included in the hardware facilities of each antenna of the base station 501, and the is the system circuit power consumption rate correlation coefficient parameter and The P _C is the unit data encoding power consumption of the user end, the _PD is the unit data decoding power consumption of the base station end, P _BT is the unit data backhaul transmission power consumption of the base station 501, the R _tot is the total uplink transmission rate of the system, and the is the power consumption of the circuit, the δ is the power consumption coefficient of the system power amplifier, and the δKρ is the power consumption of the user 502 power amplifier.

Calculate the total available transmission rate R _tot of the system:

Wherein, the R _tot is the total uplink transmission rate of the Massive MIMO system, the τ is the pilot sequence length parameter, the T is the number of symbols transmitted in the coherent resource block, and the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the K is the parameter of the number of users accessing the base station 501, the B is the overall bandwidth parameter, and the M is the parameter of the number of antennas of the base station 501, the ρ is the target transmission signal-to-noise ratio parameter.

Determine the energy efficiency parameters of the Massive MIMO system:

Wherein, the EE is the energy efficiency data of the Massive MIMO system, the R _tot is the total uplink transmission rate of the system, the P _tot is the overall power consumption of the system, the τ is the pilot sequence length parameter, and the T is the coherent The number of symbols transmitted in the resource block parameter, the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the K is the parameter of the number of users accessing the base station 501, the B is the overall bandwidth parameter, and the M is the parameter of the number of antennas of the base station 501, the ρ is the target transmission signal-to-noise ratio parameter, the δ is the power consumption coefficient of the system power amplifier, the δKρ is the power consumption of the power amplifier of the user 502, and the is the user correlation coefficient parameter for system circuit power consumption, the is the system circuit power consumption user antenna joint correlation coefficient parameter, the is the system circuit power consumption rate correlation coefficient parameter, the is the power consumption of the circuit.

Solve the optimal energy efficiency value of the Massive MIMO system, that is, solve the problem of maximizing the energy efficiency parameters of the Massive MIMO system:

The base station 501 defines variable conversion x=K, z=Kρ, Then the problem of maximizing the energy efficiency parameters of the Massive MIMO system is transformed into:

The base station 501 uses the first algorithm to solve the above-mentioned maximization problem, and obtains the final solution x ^* , y ^* , z ^* , θ ^* . In the embodiment of the present invention, the first algorithm is an alternate iteration and golden section algorithm, and the specific solution steps include :

The first step is to initialize the number of iterations t=0 and optimize variables x[0], y[0], z[0], θ[0];

In the second step, preset y=y[t], z=z[t], θ=θ[t], define function f ₁ (x)=f ₀ (x,y,z,θ); set u ^low =0, u ^up =T/θ and F(u)=f ₁ (x) are substituted into the second algorithm to obtain u ^* and update x ^* =u ^* ;

The third step, preset x=x ^* , z=z[t], θ=θ[t], define function f ₂ (y)=f ₀ (x,y,z,θ); set u ^low =1 , u ^up = 1000 and F(u) = f ₂ (y) are substituted into the second algorithm to obtain u ^* and update y ^* = u ^* ;

Step 4, preset x=x ^* , y=y ^* , θ=θ[t], define function f ₃ (z)=f ₀ (x,y,z,θ); set u ^low =0, u ^Up = 1000 and F(u) = f ₃ (z) are substituted into the second algorithm to obtain u ^* and update z ^* = u ^* ;

The fifth step, preset x=x ^* , y=y ^* , z=z ^* , define function f ₄ (θ)=f ₀ (x,y,z,θ); set u ^low =1, u ^up = T/x and F(u)=f ₄ (θ) are substituted into the second algorithm to obtain u ^* , and update θ ^* =u ^* ;

The sixth step is to update t=t+1, x[t]=x ^* , y[t]=y ^* , z[t]=z ^* , θ[t]=θ ^* ; if the parameters x, y, z , θ converges, namely |x[t]-x[t-1]|, |y[t]-y[t-1]|, |z[t]-z[t-1]|, |θ[ t]-θ[t-1]| are both smaller than the given error threshold, then stop the iteration and output the final solution x ^* , y ^* , z ^* , θ ^* ; otherwise, jump back to the second step.

According to K ^* ＝x ^* , M ^* ＝x ^* y ^* , τ ^* = θ ^* x ^* , and the parameters M, K, and τ are taken as adjacent integers of M ^* , K ^* , and τ ^* .

The base station 501 configures M, K, τ, and ρ according to the obtained energy efficiency parameters, and randomly selects M transceiver antennas and K receiving users 502 .

The base station 501 allocates corresponding pilot sequences to K users 502 according to the pilot sequence length τ, and sets the target transmission signal-to-noise ratio ρ, receiving antenna noise power And the average channel fading β _k of each user 502 is sent to each user 502 .

User 502 according to the target transmission signal-to-noise ratio ρ, the receiving antenna noise power With the average channel fading β _k , calculate the required transmit power

The user 502 uses the transmit power p _k for uplink data transmission, and the base station 501 uses the channel estimation matrix to calculate the zero-breaking reception matrix, thereby performing signal decoding. The decoding process belongs to the prior art and will not be repeated here.

Preferably, in the embodiment of the present invention, the second algorithm is the golden section algorithm, and the golden section algorithm includes:

First, obtain the parameter range of each parameter in the uplink transmission parameters, and determine the original upper limit value u ^up , the original lower limit value u ^low , and the parameter calculation formula corresponding to each parameter according to the parameter range (alternate iteration and F(u) in the golden section algorithm);

Secondly, compare the difference between the original upper limit value and the original lower limit value |u ^up -u ^low | with the preset iteration tolerance error ε, and when |u ^up -u ^low |≥ε, the formula is obtained: u ₁ =u ^low +0.382×(u ^up −u ^low ) and u ₂ =u ^low +0.618×(u ^up −u ^low );

Again, respectively substituting the u ₁ and the u ₂ into the parameter calculation formula to obtain the first calculation result F(u ₁ ) and the second calculation result F(u ₂ );

Then, when F(u ₁ )≥F(u ₂ ), update the upper limit value u ^up =u ₂ ; when F(u ₁ )<F(u ₂ ), update the lower limit value u ^low =u ₁ ;

Finally, according to the formula u ^* =(u ^up +u ^low )/2, the value of each parameter in the uplink transmission parameters is obtained.

By applying the embodiment of the present invention, the obtained uplink transmission parameters of the Massive MIMO system can optimize the energy efficiency of the Massive MIMO system, and maximize the energy efficiency of data transmission from the user to the base station. And it can be obtained through this embodiment that the parameters have a relatively high fast convergence.

Table 1 shows the simulation parameters set by the embodiment of the present invention.

Table 1

At the same time, define the system circuit power consumption coefficient vector [P _FIX +P _SYN ,P _BS ,P _UE ], the default value is In the simulation, by adjusting the expansion coefficient Set different circuit power dissipation coefficients

FIG. 6 is a schematic diagram of a simulation of an alternate iteration and golden section algorithm according to an embodiment of the present invention. The abscissa in the figure indicates the number of iterations, the ordinate indicates the obtained system energy efficiency, d _max indicates the radius of the cell, and the expansion factor of the power consumption coefficient of the system circuit is set to The four curves correspond to different cell sizes. It can be clearly seen from the figure that the proposed algorithm generally converges well within 5 iterations, so the computational complexity is very low, and it has good practical application value.

Fig. 7 is a schematic diagram of the performance comparison between the alternate iteration and the golden section algorithm and the exhaustive search algorithm according to the embodiment of the present invention. The abscissa in the figure indicates the radius of the cell, and the ordinate indicates the obtained system energy efficiency. Indicates the expansion factor of the power consumption coefficient of the system circuit. Different curves in the figure correspond to different circuit power consumption coefficient settings. It can be seen from the figure that the system energy efficiency obtained by the proposed algorithm is basically consistent with the exhaustive search algorithm, indicating that the proposed algorithm can find the globally optimal system parameter configuration.

FIG. 8 is a schematic diagram of system energy efficiency comparison between the method for determining energy efficiency data according to the embodiment of the present invention and the method for optimizing energy efficiency parameters in the prior art. The abscissa in the figure represents the expansion factor of the power consumption coefficient of the system circuit. The larger the value, the greater the power consumption of the circuit components used in the system, and the ordinate represents the obtained system energy efficiency. It can be seen from the figure that, compared with the prior art, the method and device for determining energy efficiency data of a large-scale MIMO system proposed by the embodiments of the present invention can obtain better system parameter configuration and effectively improve system energy efficiency. For example, when system circuit power consumption is low The performance of alternate iteration and golden section algorithm adopted in the embodiment of the present invention improves respectively 24% and 93% (when the cell radius is _dmax =200m), 48% and 235% (when the cell radius is d _max = 400m). Among them, the system energy efficiency obtained by the prior art 1 does not have the channel estimation error of the base station in the actual system; the system energy efficiency obtained by the prior art 2 does not have the uplink transmission pilot sequence length parameter and the channel estimation error, and the exhaustive search algorithm is used to determine the Parameters for optimum energy efficiency of the system.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present invention are included in the protection scope of the present invention.

Claims (10)

1. A method for determining energy efficiency data of a large-scale multiple-input multiple-output Massive MIMO system, characterized in that, comprising: Acquire pre-established Massive MIMO system energy efficiency data with Massive MIMO system uplink transmission parameters, wherein the uplink transmission parameters include at least: pilot sequence length parameters, target transmission signal-to-noise ratio parameters, base station antenna number parameters and access to the The number of users of the base station; By presetting the first algorithm, the first value of the pilot sequence length parameter satisfying the first preset condition, the second value of the target transmission signal-to-noise ratio parameter satisfying the second preset condition, and the second value satisfying the first preset condition are respectively obtained. The third value of the parameter of the number of antennas of the base station according to the three preset conditions and the fourth value of the parameter of the number of users accessing the base station satisfying the fourth preset condition; According to the first value, the second value, the third value, the fourth value and the Massive MIMO system energy efficiency data, determine that the value of the Massive MIMO system energy efficiency data is an optimal energy efficiency value. 2. The method for determining energy efficiency data of a large-scale multiple-input multiple-output Massive MIMO system as claimed in claim 1, wherein, before the acquisition of the pre-established Massive MIMO system energy efficiency data with Massive MIMO system uplink transmission parameters, the The method for determining the energy efficiency data of the massive multiple-input multiple-output Massive MIMO system also includes: determining an average uplink transmission rate of each user accessing the base station according to the uplink transmission parameters; Obtaining the total uplink transmission rate of the Massive MIMO system according to the average uplink transmission rate of each user; Obtaining the total system power consumption of the Massive MIMO system; The energy efficiency data of the Massive MIMO system is established according to the ratio of the total uplink transmission rate to the total power consumption of the system. 3. The method for determining energy efficiency data of a massive multiple-input multiple-output Massive MIMO system according to claim 2, wherein the average uplink transmission rate of each user accessing the base station is determined according to the uplink transmission parameters, include: Obtaining basic system parameters of the Massive MIMO system, wherein the basic system parameters include at least: an overall bandwidth parameter, and a parameter of the number of symbols transmitted in a coherent resource block; According to the uplink transmission parameters, the basic system parameters and the formula ${\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\frac{\mathrm{<span\; class="notranslate">\; \&tau;</span>}}{\mathrm{<span\; class="notranslate">\; T</span>}}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; B</span>}{\mathrm{<span\; class="notranslate">\; log</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\frac{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; \&tau;\&rho;</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&tau;</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; \&rho;</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ,</span>$ Determine the average uplink transmission rate of each user accessing the base station; Wherein, the R _k is the average uplink transmission rate of each user accessing the base station, the τ is the pilot sequence length parameter, the T is the number of symbols transmitted in the coherent resource block, and the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the B is the overall bandwidth parameter, the M is the number of base station antennas, the K is the number of users accessing the base station, the ρ is the target transmission signal-to-noise ratio parameter. 4. The method for determining energy efficiency data of a large-scale multiple-input multiple-output Massive MIMO system according to claim 2, wherein the total uplink of the Massive MIMO system is obtained according to the average uplink transmission rate of each user Transfer rate, including: According to the average uplink transmission rate of each user accessing the base station and the formula ${\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; t</span>}\mathrm{<span\; class="notranslate">\; o</span>}\mathrm{<span\; class="notranslate">\; t</span>}}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; K</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}{\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\frac{\mathrm{<span\; class="notranslate">\; \&tau;</span>}}{\mathrm{<span\; class="notranslate">\; T</span>}}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; K</span>}\mathrm{<span\; class="notranslate">\; B</span>}{\mathrm{<span\; class="notranslate">\; log</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\frac{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; \&tau;\&rho;</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}{<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&tau;</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; \&rho;</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ,</span>$ Obtain the total uplink transmission rate of the Massive MIMO system; Wherein, the R _tot is the total uplink transmission rate of the Massive MIMO system, the R _k is the average uplink transmission rate of each user accessing the base station, the τ is a pilot sequence length parameter, and the T is the number of symbols transmitted in coherent resource blocks, the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the K is the number of users accessing the base station, the B is the overall bandwidth parameter, and the M is the number of base station antennas. ρ is the target transmission signal-to-noise ratio parameter. 5. The method for determining energy efficiency data of a large-scale multiple-input multiple-output Massive MIMO system according to claim 2, wherein said obtaining the total system power consumption of said Massive MIMO system comprises: Obtain system power consumption parameters of the Massive MIMO system, wherein the system power consumption parameters at least include: system power amplifier power consumption coefficient parameters, system circuit power consumption user correlation coefficient parameters, system circuit power consumption user antenna joint correlation coefficient parameters, System circuit power consumption rate correlation coefficient parameters; According to the system power consumption parameters and formula Obtain the total system power consumption of the Massive MIMO system; Wherein, the P _tot is the total system power consumption of the Massive MIMO system, the δ is the system power amplifier power consumption coefficient, the K is the number of users accessing the base station parameter, and the ρ is the target transmission signal-to-noise ratio parameter, the δKρ is the power consumption of the power amplifier at the user end, and the is the system circuit power consumption user correlation coefficient parameter, and the M is the number parameter of the base station antenna, and the is the system circuit power consumption user antenna joint correlation coefficient parameter, the is the system circuit power consumption rate correlation coefficient parameter, the R _tot is the total uplink transmission rate of the system, and the is the power consumption of the circuit. 6. The method for determining energy efficiency data of a massive multiple-input multiple-output Massive MIMO system according to claim 1, wherein said pilots satisfying a first preset condition are respectively obtained by preset a first algorithm The first value of the sequence length parameter, the second value of the target transmission signal-to-noise ratio parameter meeting the second preset condition, the third value of the base station antenna quantity parameter meeting the third preset condition, and the fourth preset value The fourth numerical value of the parameter of the number of users accessing the base station under conditions includes: Respectively assigning values of other parameters in the uplink transmission parameters except the first parameter as a first preset constant, and correspondingly obtaining a first parameter calculation formula, wherein the first parameter is the pilot sequence length parameter, Any one of the target transmission signal-to-noise ratio parameter, the number of base station antenna parameters, and the number of users accessing the base station; Obtain the value of the first parameter in the uplink transmission parameters according to the first parameter calculation formula and the second preset algorithm; reassigning the values of other parameters in the uplink transmission parameters except the second parameter and the first parameter as a second preset constant, and according to the value of the first parameter, correspondingly obtain the calculation formula of the second parameter , wherein the second parameter is the pilot sequence length parameter, the target transmission signal-to-noise ratio parameter, the base station antenna number parameter, and the user number parameter accessing the base station except the first any of the parameters; Obtaining a value of a second parameter in the uplink transmission parameters according to the second parameter calculation formula and a second preset algorithm; Reallocating the value of the fourth parameter in the uplink transmission parameters as a third preset constant, and correspondingly obtaining a third parameter calculation formula according to the value of the first parameter and the value of the second parameter, wherein the The third parameter is the parameter of the length of the pilot sequence, the parameter of the target transmission signal-to-noise ratio, the parameter of the number of antennas of the base station, and the parameter of the number of users accessing the base station, except the first parameter and the second parameter. Any of the two parameters; Obtaining the value of the third parameter in the uplink transmission parameters according to the third parameter calculation formula and the second preset algorithm; According to the numerical value of the first parameter, the numerical value of the second parameter and the numerical value of the third parameter, a fourth parameter calculation formula is correspondingly obtained, wherein, the first parameter, the second parameter, the first The three parameters are different from the fourth parameter; According to the fourth parameter calculation formula and the second preset algorithm, the value of the fourth parameter in the uplink transmission parameters is obtained until the first value of the pilot sequence length parameter that satisfies the first preset condition is respectively obtained. , the second value of the target transmission signal-to-noise ratio parameter satisfying the second preset condition, the third value of the base station antenna number parameter satisfying the third preset condition, and all the parameters satisfying the fourth preset condition The fourth numerical value of the parameter of the number of users accessing the base station; Wherein, the first preset condition is that the absolute value of the difference between the first value at the current moment and the first value at the previous moment is less than the preset first threshold value, and the second preset condition is that the first value at the current moment The absolute value of the difference between the two values and the second value at the previous moment is less than the second preset threshold value, and the third preset condition is the absolute value of the difference between the third value at the current moment and the third value at the previous moment The value is smaller than the preset third threshold value, and the fourth preset condition is that the absolute value of the difference between the fourth value at the current moment and the fourth value at the previous moment is smaller than the preset fourth threshold value. 7. The method for determining energy efficiency data of a large-scale multiple-input multiple-output Massive MIMO system according to claim 6, wherein the second preset algorithm is a golden section algorithm, wherein the golden section algorithm includes: Obtaining a parameter range of each parameter in the uplink transmission parameters, and determining an original upper limit value, an original lower limit value, and a parameter calculation formula corresponding to each parameter according to the parameter range; Comparing the difference between the original upper limit value and the original lower limit value with the preset iteration tolerance error, when the difference is greater than the preset iteration tolerance error, the formula is obtained: u ₁ =u ^low +0.382 ×(u ^up -u ^low ) and u ₂ =u ^low +0.618×(u ^up -u ^low ); Respectively substituting said u1 and said u2 into said parameter calculation formulas to obtain a _first calculation result and a _second calculation result correspondingly; When the first calculation result is greater than or equal to the second calculation result, replacing the original upper limit with the u ₂ ; When the first calculation result is less than the second calculation result, replacing the original lower limit value with the u ₁ ; According to the formula: u ^* =(u ^up +u ^low )/2, the value of each parameter in the uplink transmission parameters is obtained; Wherein, the u ^low is the lower limit value of each parameter in the uplink transmission parameters, the u ^up is the upper limit value of each parameter in the uplink transmission parameters, and the u ₁ is the The new lower limit value obtained by the formula, and the u ₂ is the new upper limit value obtained by the golden section formula. 8. The method for determining energy efficiency data of a Massive MIMO system according to claim 2, wherein the method for determining the energy efficiency data of a Massive MIMO system according to the ratio of the total uplink transmission rate to the total power consumption of the system is used to establish the Massive MIMO system energy efficiency data, including: According to the formula: Establish energy efficiency data of the Massive MIMO system; Wherein, the EE is the energy efficiency data of the Massive MIMO system, the R _tot is the total uplink transmission rate of the system, the P _tot is the total power consumption of the system, and the τ is a pilot sequence length parameter , the T is a parameter of the number of symbols transmitted in the coherent resource block, and the is the ratio of uplink pilot transmission to the number of transmission symbols in the coherent resource block, the K is the number of users accessing the base station, the B is the overall bandwidth parameter, and the M is the number of base station antennas. ρ is the target transmission signal-to-noise ratio parameter, the δ is the power consumption coefficient of the system power amplifier, the δKρ is the power consumption of the user end power amplifier, and the is the user correlation coefficient parameter for system circuit power consumption, the is the system circuit power consumption user antenna joint correlation coefficient parameter, the is the system circuit power consumption rate correlation coefficient parameter, the is the power consumption of the circuit. 9. The method for determining energy efficiency data of a Massive MIMO system according to claim 1, wherein said first value, said second value, said third value, said The fourth numerical value and the energy efficiency data of the Massive MIMO system are determined to be the optimal energy efficiency value for the energy efficiency data of the Massive MIMO system, including: Substituting the first value, the second value, the third value, and the fourth value into the energy efficiency data of the Massive MIMO system, and determining the value of the energy efficiency data of the Massive MIMO system as an optimal energy efficiency value. 10. A device for determining energy efficiency data of a Massive MIMO system, characterized in that it comprises: A system energy efficiency data acquisition module, configured to acquire pre-established Massive MIMO system energy efficiency data with Massive MIMO system uplink transmission parameters, wherein the uplink transmission parameters at least include: pilot sequence length parameters, target transmission signal-to-noise ratio parameters, base station A parameter of the number of antennas and a parameter of the number of users accessing the base station; An uplink transmission parameter determination module, configured to obtain the first value of the pilot sequence length parameter satisfying the first preset condition and the target transmission signal-to-noise ratio satisfying the second preset condition respectively by preset the first algorithm The second value of the parameter, the third value of the parameter of the number of antennas of the base station meeting the third preset condition, and the fourth value of the parameter of the number of users accessing the base station meeting the fourth preset condition; An optimal energy efficiency determination module, configured to determine the energy efficiency data of the Massive MIMO system according to the first value, the second value, the third value, the fourth value, and the energy efficiency data of the Massive MIMO system The value is the optimal energy efficiency value.