CN106685491A - Determination method of large-scale multiple-input multiple-output system energy efficiency data and apparatus thereof - Google Patents
Determination method of large-scale multiple-input multiple-output system energy efficiency data and apparatus thereof Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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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
Technical field
The present invention relates to wireless communication technology field, more particularly to a kind of extensive mimo systems efficiency data are really
Determine method and device.
Background technology
In recent years, various multimedia services are continued to bring out, the intelligence such as smart mobile phone, panel computer, intelligence wearing
Equipment is day by day popularized, wireless network traffic correspondingly sharp increase.Meanwhile, it is more next in order to tackle the traffic demand for increasingly increasing
More radio communication standards and wireless communication node are deployed, and cause wireless network power consumption constantly to increase, corresponding carbon emission
Also increase year by year.Next generation wireless communication network 5G (5th-Generation, the 5th third-generation mobile communication technology) must be very big
System overall power is effectively reduced while ground lifts the overall transmission rate of wireless network, the green of wireless communication system is realized
Sustainable development.
Massive MIMO (Massive Multiple-Input Multiple-Output, extensive multiple-input, multiple-output) skill
Art, by disposing substantial amounts of antenna in base station end, is realized in same frequency range, same time slot as the core key technology of 5G networks
To data transfer while a large number of users, unit of transfer's data are also greatly reduced while effective lift system spectrum efficiency
Required equipment radio frequency power consumption.But the increase with number of antennas and the increase of access customer number purpose, base station end and user
The receiving-transmitting chain energy consumption at end is also accordingly sharply increased, while the increase of number of antennas and number of users also causes base station end to carry out letter
Road is estimated and signal processing needs to be related to more floating-point operations, and system-computed power consumption is also sharply increased.For this purpose, prior art is logical
Cross and set up Massive mimo system energy efficiency models, select suitable systematic parameter configuration, obtain set up energy efficiency model
Optimal value.
There is gap in the Massive mimo systems energy efficiency model set up in prior art, with real system so as to cause
Selected systematic parameter can not obtain the optimal value of system energy efficiency.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of extensive multiple-input, multiple-output Massive mimo systems efficiency data
Determination method and device, obtain close to real system efficiency data, obtain optimum Massive mimo system efficiencies
Value.
To reach above-mentioned purpose, the embodiment of the invention discloses a kind of extensive multiple-input, multiple-output Massive mimo system energy
The determination method of effect data, including：
The Massive mimo system efficiencies with Massive mimo system uplink transmission parameters that acquisition pre-builds
Data, wherein, the uplink transmission parameter at least includes：Pilot sequence length parameter, object transmission signal to noise ratio parameter, base station day
Line number parameter and the number of users parameter of the access base station；
By presetting the first algorithm, respectively obtain and meet the first of the first pre-conditioned pilot sequence length parameter
Numerical value, the second value for meeting the second pre-conditioned object transmission signal to noise ratio parameter, the 3rd pre-conditioned institute of satisfaction
The third value for stating antenna for base station number parameter and the number of users ginseng for meeting the 4th pre-conditioned access base station
The 4th several numerical value；
According to first numerical value, the second value, the third value, the 4th numerical value and the Massive
Mimo system efficiency data, the numerical value for determining the Massive mimo systems efficiency data is optimum energy valid value.
In order to achieve the above object, the embodiment of the invention also discloses a kind of extensive multiple-input, multiple-output Massive MIMO systems
The determining device of system efficiency data, including：
System energy efficiency data acquisition module, joins for what acquisition pre-build with the uplink of Massive mimo systems
Several Massive mimo system efficiency data, wherein, the uplink transmission parameter at least includes：Pilot sequence length parameter,
The number of users parameter of object transmission signal to noise ratio parameter, antenna for base station number parameter and the access base station；
Uplink transmission parameter determining module, for by presetting the first algorithm, respectively obtaining satisfaction first pre-conditioned
First numerical value of the pilot sequence length parameter, meet the second pre-conditioned object transmission signal to noise ratio parameter second
Numerical value, the third value for meeting the 3rd pre-conditioned antenna for base station number parameter and to meet the 4th pre-conditioned described
Access the 4th numerical value of the number of users parameter of the base station；
Optimum efficiency determining module, for according to the first numerical value, second value, the third value, described
4th numerical value and the Massive mimo systems efficiency data, determine the numerical value of the Massive mimo systems efficiency data
For optimum energy valid value.
As seen from the above technical solutions, the Massive mimo system efficiencies of the embodiment of the present invention have pilot frequency sequence long
The number of users parameter of degree parameter, object transmission signal to noise ratio parameter, antenna for base station number parameter and the access base station, than existing
There are efficiency data of the technical limit spacing closer to real system, Massive mimo systems efficiency includes up in real system
Pilot sequence length, has on the one hand obtained more accurate real system user average uplink transfer rate, so as to obtain more
Rational efficiency data, on the other hand, are optimized by pilot sequence length, and equalization channel is estimated and pilot-frequency expense, further carries
The system of liter entirety efficiency.The efficiency calculation method of parameters that the embodiment of the present invention is proposed has fast convergence, and superior performance, obtains
To system uplink configured transmission Massive mimo system efficiencies can be caused to be optimal value.Certainly, implement the present invention's
Arbitrary product or method must be not necessarily required to while reaching all the above advantage.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the determination method of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of the embodiment of the present invention
Schematic flow sheet；
Fig. 2 is the schematic flow sheet of the acquisition Massive mimo system efficiency data of the embodiment of the present invention；
Fig. 3 is the method flow schematic diagram of the determination uplink transmission parameter of the embodiment of the present invention；
Fig. 4 is the determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of the embodiment of the present invention
Structural representation；
Fig. 5 is the extensive multiple-input, multiple-output Massive mimo systems uplink schematic diagram of the embodiment of the present invention；
Fig. 6 is the alternating iteration of the embodiment of the present invention and the emulation schematic diagram of golden cut algorithm；
Fig. 7 is the alternating iteration and golden cut algorithm and the performance comparison schematic diagram of poor search algorithm of the embodiment of the present invention；
Fig. 8 is the efficiency data determination method of the embodiment of the present invention and the system energy of prior art efficiency parameter optimization method
Effect contrast schematic diagram.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Fig. 1 is the determination method of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of the embodiment of the present invention
Schematic flow sheet, method includes：
Step 101, obtains the Massive MIMO with Massive mimo system uplink transmission parameters for pre-building
System energy efficiency data.
Preferably, the uplink transmission parameter at least includes：Pilot sequence length parameter, object transmission signal to noise ratio parameter,
Antenna for base station number parameter and the number of users parameter of the access base station.
Pilot sequence length parameter and object transmission signal to noise ratio parameter are carried out as base station end must when downlink precoding is transmitted
The parameter that must be obtained in advance, the optimization of the two parameters directly affects the efficiency of Massive mimo systems, therefore, foundation
Massive mimo system efficiencies have above-mentioned parameter.
Step 102, by presetting the first algorithm, respectively obtains and meets the first pre-conditioned pilot sequence length ginseng
Several the first numerical value, the second value for meeting the second pre-conditioned object transmission signal to noise ratio parameter, meet the 3rd and preset
The use of the 4th pre-conditioned access base station of third value and satisfaction of the antenna for base station number parameter of condition
4th numerical value of family number parameter.
The embodiment of the present invention, obtains to enable the system to imitate optimum up biography using alternating iteration and golden cut algorithm
Defeated parameter, according to described first pre-conditioned, described second pre-conditioned, the described 3rd pre-conditioned and the described 4th preset
Condition, the uplink transmission parameter convergence.
Step 103, according to first numerical value, the second value, the third value, the 4th numerical value and described
Massive mimo system efficiency data, the numerical value for determining the Massive mimo systems efficiency data is optimum energy valid value.
Using the embodiment of the present invention, because Massive mimo system efficiencies have pilot sequence length parameter, target is passed
The number of users parameter of defeated signal to noise ratio parameter, antenna for base station number parameter and the access base station, obtains than prior art
Closer to the efficiency data of real system, Massive mimo systems efficiency includes that uplink pilot sequence is long in real system
Degree, has on the one hand obtained more accurate real system user average uplink transfer rate, so as to obtain more reasonably efficiency
Data, on the other hand, are optimized by pilot sequence length, and equalization channel is estimated and pilot-frequency expense, further lift system entirety
Efficiency.
Fig. 2 is the schematic flow sheet of the acquisition Massive mimo system efficiency data of the embodiment of the present invention, including：
Step 201, according to the uplink transmission parameter, determines each user's average uplink transfer rate of access base station.
Preferably, described each user's average uplink transfer rate for determining access base station, including：
The system basic parameter of the Massive mimo systems is obtained, wherein, the system basic parameter at least includes：
Number of symbols parameter is transmitted in overall bandwidth parameter, relevant Resource Block；
According to the uplink transmission parameter, the system basic parameter and formula
Determine each user's average uplink transfer rate of access base station；
Wherein, the RkFor each user's average uplink transfer rate of the access base station, the τ is that pilot frequency sequence is long
Degree parameter, the T is described to transmit number of symbols parameter in relevant Resource BlockFor the shared relevant Resource Block of ascending pilot frequency transmission
The ratio of middle transmission number of symbols, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, and the K is access
The number of users parameter of the base station, the ρ is object transmission signal to noise ratio parameter.
Step 202, according to described each user's average uplink transfer rate, obtains the total of the Massive mimo systems
Uplink transmission rate.
Preferably, the total uplink transmission rate for obtaining the Massive mimo systems, the formula for being utilized is：
Wherein, the RtotFor total uplink transmission rate of the Massive mimo systems, the RkFor the access base
Each the user's average uplink transfer rate stood, the τ is pilot sequence length parameter, and the T is transmission in relevant Resource Block
Number of symbols parameter, it is describedTo transmit the ratio of number of symbols in the shared relevant Resource Block of ascending pilot frequency transmission, the K is to connect
Enter the number of users parameter of the base station, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, and the ρ is
Object transmission signal to noise ratio parameter.
Step 203, obtains the total system power consumption of the Massive mimo systems；
Preferably, the total system power consumption for obtaining the Massive mimo systems, including：
The system power dissipation parameter of the Massive mimo systems is obtained, wherein, the system power dissipation parameter at least includes：
System power amplifier power consumption factor parameter, circuit system power consumers correlation coefficient parameter, circuit system power consumers antenna joint phase
Close figure parameters, circuit system rate of power consumption correlation coefficient parameter；
According to the system power dissipation parameter and formula
Obtain the total system power consumption of the Massive mimo systems；
Wherein, the PtotFor the total system power consumption of the Massive mimo systems, the δ is system power amplifier power consumption system
Number, the K is the number of users parameter for accessing the base station, and the ρ is object transmission signal to noise ratio parameter, and the δ K ρ are user
The power consumption of end power amplifier, it is describedFor circuit system power consumers correlation coefficient parameter, the M is that antenna for base station quantity is joined
Number, it is describedIt is described for circuit system power consumers antenna association coefficient parameterIt is related for circuit system rate of power consumption
Figure parameters, the RtotIt is described for the total uplink transmission rate of systemFor circuit work(
Consumption.
Step 204, according to total uplink transmission rate and the ratio of the total system power consumption, sets up the Massive
Mimo system efficiency data.
Preferably, the form of the Massive mimo systems efficiency data is：
Wherein, the EE be the Massive mimo systems efficiency data, the RtotFor the total up biography of the system
Defeated speed, the PtotFor the total power consumption of the system, the τ is pilot sequence length parameter, and the T is in relevant Resource Block
Transmission number of symbols parameter, it is describedTo transmit the ratio of number of symbols, the K in the shared relevant Resource Block of ascending pilot frequency transmission
To access the number of users parameter of the base station, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, described
ρ is object transmission signal to noise ratio parameter, and the δ is system power amplifier power consumption factor, and the δ K ρ are the work(of user side power amplifier
Consumption, it is describedIt is described for circuit system power consumers correlation coefficient parameterIt is related for circuit system power consumers antenna joint
Figure parameters, it is describedIt is described for circuit system rate of power consumption correlation coefficient parameter
For circuit power consumption.
Using the embodiment of the present invention, more practical rational efficiency optimization model is obtained, due to what is obtained
Massive mimo system uplink transmission parameters include uplink pilot sequence length, then the system energy efficiency data for obtaining are than existing
There is technology more reasonable and more excellent.Additionally, using the embodiment of the present invention, the system uplink configured transmission for obtaining can be caused
Massive mimo system efficiencies are optimal value, and computational methods have fast convergence.
Fig. 3 is the method flow schematic diagram of the determination uplink transmission parameter of the embodiment of the present invention, including：
Step 301, the numerical value of the other specification in addition to the first parameter being respectively allocated in the uplink transmission parameter is the
One predetermined constant, correspondence obtains the first parameter calculation formula.
Preferably, first parameter is the pilot sequence length parameter, the object transmission signal to noise ratio parameter, described
Any one in the number of users parameter of antenna for base station number parameter and the access base station.
Step 302, according to first parameter calculation formula and the second preset algorithm, obtains up biography described in current time
The numerical value of the first parameter in defeated parameter.
Preferably, second preset algorithm be golden cut algorithm, the golden cut algorithm, including：
The first step, obtains the parameter area of each parameter in the uplink transmission parameter, and according to the parameter area,
It is determined that the corresponding original higher limit of described each parameter, original lower limit value and parameter calculation formula；
Second step, the relatively difference and default iteration tolerable error of the original higher limit and the original lower limit value,
When the difference is more than the default iteration tolerable error, formula is obtained：u1=ulow+0.382×(uup-ulow) and u2=ulow+
0.618×(uup-ulow)；
3rd step, substitutes into respectively the u1And the u2To the parameter calculation formula, correspondence obtains the first result of calculation
And second result of calculation；
4th step, when first result of calculation is more than or equal to second result of calculation, by the u2Replace institute
State original higher limit；
5th step, when first result of calculation is less than second result of calculation, by the u1Replace described original
Lower limit；
6th step, according to formula u*=(uup+ulow)/2, obtain the numerical value of each parameter in the uplink transmission parameter；
Wherein, ulowFor the lower limit of each parameter in the uplink transmission parameter, uupFor in the uplink transmission parameter
Each parameter higher limit, u1It is the new lower limit obtained by golden section formula, u2It is to be obtained by golden section formula
The new higher limit for arriving.
Step 303, be respectively allocated again in the uplink transmission parameter in addition to the second parameter and first parameter
The numerical value of other specification is the second predetermined constant, and according to the numerical value of first parameter, correspondence obtains the second parameter and calculates public
Formula.
Preferably, second parameter is the pilot sequence length parameter, the object transmission signal to noise ratio parameter, described
Any one in addition to first parameter in the number of users parameter of antenna for base station number parameter and the access base station.
Step 304, according to second parameter calculation formula and the second preset algorithm, obtains up biography described in current time
The numerical value of the second parameter in defeated parameter.
Step 305, the numerical value for redistributing the 4th parameter in the uplink transmission parameter is the 3rd predetermined constant, according to
The numerical value of the numerical value of first parameter, second parameter, correspondence obtains the 3rd parameter calculation formula.
Preferably, the 3rd parameter is the pilot sequence length parameter, the object transmission signal to noise ratio parameter, described
In the number of users parameter of antenna for base station number parameter and the access base station except first parameter, it is described second ginseng
Any one outside number.
Step 306, according to the 3rd parameter calculation formula and the second preset algorithm, obtains up biography described in current time
The numerical value of the 3rd parameter in defeated parameter.
Step 307, the number of numerical value, the numerical value of second parameter and the 3rd parameter according to first parameter
Value, correspondence obtains the 4th parameter calculation formula.
Preferably, first parameter, second parameter, the 3rd parameter are different ginsengs from the 4th parameter
Number.
Step 308, according to the 4th parameter calculation formula and the second preset algorithm, obtains up biography described in current time
The numerical value of the 4th parameter in defeated parameter.
Step 309, repeat step 301 is to step 308, until respectively obtaining the first pre-conditioned pilot tone sequence of satisfaction
First numerical value of row length parameter, the second value for meeting the second pre-conditioned object transmission signal to noise ratio parameter, satisfaction
The third value of the 3rd pre-conditioned antenna for base station number parameter and meet the described 4th pre-conditioned access
4th numerical value of the number of users parameter of the base station.
Preferably, the described first pre-conditioned first numerical value for current time was counted with described the first of a upper moment
The absolute value of the difference of value less than default first threshold value, the described second pre-conditioned second value for current time with it is upper
The absolute value of the difference of the second value at one moment is less than default second threshold value, and the described 3rd is pre-conditioned for current time
The third value and the third value at a upper moment difference absolute value less than default 3rd threshold value, the described 4th
The absolute value of the difference of the 4th numerical value of pre-conditioned the 4th numerical value and a upper moment for current time is less than default
4th threshold value.
Using the embodiment of the present invention, the first numerical value of the pilot sequence length parameter, the object transmission noise are obtained
Second value, the third value of the antenna for base station number parameter and the number of users for accessing the base station than parameter
4th numerical value of parameter, by the parameter efficiency optimal value of Massive mimo systems can be obtained.And by this reality
Applying example can obtain, and the parameter has higher fast convergence.
Fig. 4 is the determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of the embodiment of the present invention
Structural representation, including：
System energy efficiency data acquisition module 401, for obtain pre-build with the up biography of Massive mimo systems
The Massive mimo system efficiency data of defeated parameter, wherein, the uplink transmission parameter at least includes：Pilot sequence length is joined
The number of users parameter of number, object transmission signal to noise ratio parameter, antenna for base station number parameter and the access base station.
Uplink transmission parameter determining module 402, for by presetting the first algorithm, respectively obtaining satisfaction first pre-conditioned
The pilot sequence length parameter the first numerical value, meet the of the second pre-conditioned object transmission signal to noise ratio parameter
Two numerical value, the 4th pre-conditioned institute of the third value for meeting the 3rd pre-conditioned antenna for base station number parameter and satisfaction
State the 4th numerical value of the number of users parameter for accessing the base station.
Optimum efficiency determining module 403, for according to first numerical value, the second value, the third value, institute
The 4th numerical value and the Massive mimo systems efficiency data are stated, the number of the Massive mimo systems efficiency data is determined
It is worth for optimum energy valid value.
Using the embodiment of the present invention, because Massive mimo system efficiencies have pilot sequence length parameter, target is passed
The number of users parameter of defeated signal to noise ratio parameter, antenna for base station number parameter and the access base station, obtains than prior art
Closer to the efficiency data of real system, Massive mimo systems efficiency includes that uplink pilot sequence is long in real system
Degree, has on the one hand obtained more accurate real system user average uplink transfer rate, so as to obtain more reasonably efficiency
Data, on the other hand, are optimized by pilot sequence length, and equalization channel is estimated and pilot-frequency expense, further lift system entirety
Efficiency.
It should be noted that the device of the embodiment of the present invention is using above-mentioned extensive multiple-input, multiple-output Massive MIMO systems
The device of the determination method of system efficiency data, the then determination of above-mentioned extensive multiple-input, multiple-output Massive mimo systems efficiency data
All embodiments of method are applied to the device, and can reach same or analogous beneficial effect.
The determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of another embodiment of the present invention
In, the system energy efficiency data acquisition module 401, including：
The determination sub-module of uplink transmission rate first, for according to the uplink transmission parameter, determining the every of access base station
Individual user's average uplink transfer rate；
The determination sub-module of uplink transmission rate second, for according to described each user's average uplink transfer rate, obtaining
Total uplink transmission rate of the Massive mimo systems；
Total system power consumption acquisition submodule, for obtaining the total system power consumption of the Massive mimo systems；
System energy efficiency data setting up submodule, for according to the ratio of total uplink transmission rate and the total system power consumption
Value, sets up the Massive mimo systems efficiency data.
The determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of another embodiment of the present invention
In, the determination sub-module of the uplink transmission rate first, including：
System basic parameter acquiring unit, for obtaining the system basic parameter of the Massive mimo systems, wherein,
The system basic parameter at least includes：Number of symbols parameter is transmitted in overall bandwidth parameter, relevant Resource Block；
Uplink transmission rate determining unit, for according to the uplink transmission parameter, the system basic parameter and formula
Determine each user's average uplink transfer rate of access base station；
Wherein, the RkFor each user's average uplink transfer rate of the access base station, the τ is that pilot frequency sequence is long
Degree parameter, the T is described to transmit number of symbols parameter in relevant Resource BlockFor the shared relevant Resource Block of ascending pilot frequency transmission
The ratio of middle transmission number of symbols, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, and the K is access
The number of users parameter of the base station, the ρ is object transmission signal to noise ratio parameter.
The determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of another embodiment of the present invention
In, the determination sub-module of the uplink transmission rate second, including：
According to each user's average uplink transfer rate and formula of the access base station
Obtain total uplink transmission rate of the Massive mimo systems；
Wherein, the RtotFor total uplink transmission rate of the Massive mimo systems, the RkFor the access base
Each the user's average uplink transfer rate stood, the τ is pilot sequence length parameter, and the T is transmission in relevant Resource Block
Number of symbols parameter, it is describedTo transmit the ratio of number of symbols in the shared relevant Resource Block of ascending pilot frequency transmission, the K is to connect
Enter the number of users parameter of the base station, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, and the ρ is
Object transmission signal to noise ratio parameter.
The determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of another embodiment of the present invention
In, the total system power consumption acquisition submodule, including：
System power dissipation parameter acquiring unit, for obtaining the system power dissipation parameter of the Massive mimo systems, wherein,
The system power dissipation parameter at least includes：System power amplifier power consumption factor parameter, circuit system power consumers correlation coefficient parameter, it is
System circuit power consumption user antenna association coefficient parameter, circuit system rate of power consumption correlation coefficient parameter；
Total system power consumption determining unit, for according to the system power dissipation parameter and formula
Obtain the total system power consumption of the Massive mimo systems；
Wherein, the PtotFor the total system power consumption of the Massive mimo systems, the δ is system power amplifier power consumption system
Number, the K is the number of users parameter for accessing the base station, and the ρ is object transmission signal to noise ratio parameter, and the δ K ρ are user
The power consumption of end power amplifier, it is describedFor circuit system power consumers correlation coefficient parameter, the M is that antenna for base station quantity is joined
Number, it is describedIt is described for circuit system power consumers antenna association coefficient parameterIt is related for circuit system rate of power consumption
Figure parameters, the RtotIt is described for the total uplink transmission rate of systemFor circuit work(
Consumption.
The determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of another embodiment of the present invention
In, the uplink transmission parameter determining module 402, including：
First allocation unit, for being respectively allocated the uplink transmission parameter in other specification in addition to the first parameter
Numerical value is the first predetermined constant, and correspondence obtains the first parameter calculation formula, wherein, first parameter is that the pilot frequency sequence is long
The number of users of degree parameter, the object transmission signal to noise ratio parameter, the antenna for base station number parameter and the access base station
Any one in amount parameter；
First parameter determination unit, it is described for according to first parameter calculation formula and the second preset algorithm, obtaining
The numerical value of the first parameter in uplink transmission parameter；
Second allocation unit, for being respectively allocated the uplink transmission parameter again in except the second parameter and described first
The numerical value of the other specification outside parameter is the second predetermined constant, and according to the numerical value of first parameter, correspondence obtains the second ginseng
Number computing formula, wherein, second parameter is the pilot sequence length parameter, the object transmission signal to noise ratio parameter, institute
State arbitrary in addition to first parameter in the number of users parameter of antenna for base station number parameter and the access base station
It is individual；
Second parameter determination unit, it is described for according to second parameter calculation formula and the second preset algorithm, obtaining
The numerical value of the second parameter in uplink transmission parameter；
3rd allocation unit, for redistributing the uplink transmission parameter in the 4th parameter numerical value it is default for the 3rd
Constant, the numerical value, the numerical value of second parameter according to first parameter, correspondence obtains the 3rd parameter calculation formula, wherein,
3rd parameter is the pilot sequence length parameter, the object transmission signal to noise ratio parameter, antenna for base station quantity ginseng
Any one in addition to first parameter, second parameter in the several and number of users parameter for accessing the base station；
3rd parameter determination unit, it is described for according to the 3rd parameter calculation formula and the second preset algorithm, obtaining
The numerical value of the 3rd parameter in uplink transmission parameter；
4th allocation unit, for according to the numerical value of first parameter, the numerical value of second parameter and the described 3rd
The numerical value of parameter, correspondence obtains the 4th parameter calculation formula, wherein, first parameter, second parameter, the 3rd ginseng
Number is different parameters with the 4th parameter；
4th parameter determination unit, it is described for according to the 4th parameter calculation formula and the second preset algorithm, obtaining
The numerical value of the 4th parameter in uplink transmission parameter, until respectively obtaining the first pre-conditioned pilot sequence length of satisfaction
First numerical value of parameter, the second value for meeting the second pre-conditioned object transmission signal to noise ratio parameter, satisfaction the 3rd are pre-
If the third value of the antenna for base station number parameter of condition and meeting the described 4th pre-conditioned access base
4th numerical value of the number of users parameter stood；
Wherein, the difference of the described first pre-conditioned the first numerical value and first numerical value at a upper moment for current time is exhausted
To value less than default first threshold value, the described second pre-conditioned second value for current time was counted with the second of a upper moment
The absolute value of the difference of value is less than default second threshold value, the 3rd pre-conditioned third value for current time and upper a period of time
The absolute value of the difference of the third value at quarter is less than default 3rd threshold value, the described 4th pre-conditioned the 4th number for current time
The absolute value of the difference of the 4th numerical value at value and a upper moment is less than default 4th threshold value.
The determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of another embodiment of the present invention
In, first parameter determination unit, second parameter determination unit, the 3rd parameter determination unit and the 4th ginseng
Second preset algorithm in number determining unit is golden cut algorithm, wherein, the golden cut algorithm, including：
The parameter area of each parameter in the uplink transmission parameter is obtained, and according to the parameter area, determines institute
State the corresponding original higher limit of each parameter, original lower limit value and parameter calculation formula；
Compare the difference and default iteration tolerable error of the original higher limit and the original lower limit value, in the difference
When value is more than the default iteration tolerable error, formula is obtained：u1=ulow+0.382×(uup-ulow) and u2=ulow+0.618
×(uup-ulow)；
The u is substituted into respectively1And the u2To the parameter calculation formula, correspondence obtains the first result of calculation and second
Result of calculation；
When first result of calculation is more than or equal to second result of calculation, by the u2Replace it is described it is original on
Limit value；
When first result of calculation is less than second result of calculation, by the u1Replace the original lower limit value；
According to formula：u*=(uup+ulow)/2, obtain the numerical value of each parameter in the uplink transmission parameter；
Wherein, the ulowFor the lower limit of each parameter in the uplink transmission parameter, the uupFor the up biography
The higher limit of each parameter in defeated parameter, the u1It is the new lower limit obtained by golden section formula, the u2It is logical
Cross the new higher limit that golden section formula is obtained.
The determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of another embodiment of the present invention
In, the system energy efficiency data setting up submodule, including：
According to formula：
Set up the Massive mimo systems efficiency data；
Wherein, the EE be the Massive mimo systems efficiency data, the RtotFor the total up biography of the system
Defeated speed, the PtotFor the total power consumption of the system, the τ is pilot sequence length parameter, and the T is in relevant Resource Block
Transmission number of symbols parameter, it is describedTo transmit the ratio of number of symbols, the K in the shared relevant Resource Block of ascending pilot frequency transmission
To access the number of users parameter of the base station, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, described
ρ is object transmission signal to noise ratio parameter, and the δ is system power amplifier power consumption factor, and the δ K ρ are the work(of user side power amplifier
Consumption, it is describedIt is described for circuit system power consumers correlation coefficient parameterIt is related for circuit system power consumers antenna joint
Figure parameters, it is describedIt is described for circuit system rate of power consumption correlation coefficient parameter
For circuit power consumption.
The determining device of the extensive multiple-input, multiple-output Massive mimo systems efficiency data of another embodiment of the present invention
In, the optimum efficiency determining module 403, including：
Substitute into first numerical value, the second value, the third value, the 4th numerical value to the Massive
In mimo system efficiency data, the numerical value for determining the Massive mimo systems efficiency data is optimum energy valid value.
With reference to specific application example, what the embodiment of the present invention was provided is described in detail.The present embodiment is tied
Close Fig. 5 to be specifically described.
Fig. 5 is the extensive multiple-input, multiple-output Massive mimo systems uplink system schematic of the embodiment of the present invention.
The position distribution model parameter of user 502 and channel fading model parameter are collected in base station 501, calculate the channel of user 502
Decline expectation reciprocal, i.e.,
Wherein, it is describedFor the expectation reciprocal of the channel fading of user 502, the dmaxFor radius of society, the dminDistance
The minimum range parameter of base station 501, the β0For the decline of unit criterion distance, the α is channel fading coefficient.
Base station 501 measures reception antenna noise power, and collects Massive mimo system circuit power consumptions, and chip calculates effect
Rate, and system codec, backhaul transport efficiency, obtain Massive mimo system total power consumptions：
Wherein, the PtotIt is described for the total system power consumption of Massive mimo systemsMake an uproar for the reception antenna of base station 501
Acoustical power, the ζ is the power amplification efficiency of user 502, and the ρ is object transmission signal to noise ratio parameter, describedFor user's 502
Channel fading is reciprocal, describedIt is described for the expectation reciprocal of the channel fading of user 502For circuit system power consumption use
Family correlation coefficient parameter andThe PFIXBe for
The intrinsic power consumption of system of equipment cooling, control signaling transmission etc., institute unrelated with antenna, the configuration of the number of user 502 and transfer rate
State PSYNFor base station band crystal oscillator power consumption, the PUEThe low-noise amplifier that includes for the hardware facility of user 502, direct frequency are put
The power consumption of big device, wave filter and analog to digital converter etc., the B is overall bandwidth parameter, and the T is biography in relevant Resource Block
Defeated number of symbols parameter, the LBSFor chip computational efficiency, the K is the number parameter of user 502 for accessing the base station 501,
The M is the antenna amount parameter of base station 501, describedFor circuit system power consumers antenna association coefficient parameter andThe PBSFor the hardware facility bag of every antenna of base station 501
The energy consumption of the digital analog converter, frequency mixer, the wave filter that contain etc., it is describedFor circuit system rate of power consumption correlation coefficient parameter
AndThe PCFor user side unit data coding power consumption, PDWork(is decoded for base station end unit data
Consumption, PBTFor the tape unit data backhaul transport power consumption of base station 501, the RtotIt is described for the total uplink transmission rate of systemFor circuit power consumption, the δ is system power amplifier power consumption factor, and the δ K ρ are user
The power consumption of 502 power amplifiers.
Computing system can always obtain transfer rate Rtot：
Wherein, the RtotFor total uplink transmission rate of Massive mimo systems, the τ is that pilot sequence length is joined
Number, the T is described to transmit number of symbols parameter in relevant Resource BlockTo pass in the shared relevant Resource Block of ascending pilot frequency transmission
The ratio of defeated number of symbols, the K is the number of users parameter of access base station 501, and the B is overall bandwidth parameter, and the M is
The antenna amount parameter of base station 501, the ρ is object transmission signal to noise ratio parameter.
Determine Massive mimo system efficiency parameter evidences：
Wherein, the EE be Massive mimo system efficiency data, the RtotFor total uplink transmission rate of system,
The PtotFor the overall power of system, the τ is pilot sequence length parameter, and the T is to transmit symbolic number in relevant Resource Block
Mesh parameter, it is describedTo transmit the ratio of number of symbols in the shared relevant Resource Block of ascending pilot frequency transmission, the K is access base station
501 number of users parameter, the B is overall bandwidth parameter, and the M is the antenna amount parameter of base station 501, and the ρ is target
Transmission signal to noise ratio parameter, the δ is system power amplifier power consumption factor, and the δ K ρ are the power consumption of the power amplifier of user 502, describedIt is described for circuit system power consumers correlation coefficient parameterFor circuit system power consumers antenna association coefficient ginseng
Number, it is describedIt is described for circuit system rate of power consumption correlation coefficient parameterFor circuit
Power consumption.
The efficiency optimal value of Massive mimo systems is solved, that is, solves Massive mimo system efficiency parameters according to maximum
Change problem：
The defined variable conversion x=K of base station 501,Z=K ρ,Then Massive mimo systems efficiency
Parameter is turned to according to maximization problems：
Base station 501 uses the above-mentioned maximization problems of first Algorithm for Solving, obtains last solution x*,y*,z*,θ*, the present invention
In embodiment, the first algorithm is alternating iteration and golden cut algorithm, and concrete solution procedure is included：
The first step, initialization iterationses t=0 and optimized variable x [0], y [0], z [0], θ [0]；
Second step, presets y=y [t], z=z [t], θ=θ [t], defined function f1(x)=f0(x,y,z,θ)；By ulow=
0、uup=T/ θ and F (u)=f1X () substitutes into the second algorithm, obtain u*, update x*=u*；
3rd step, presets x=x*, z=z [t], θ=θ [t], defined function f2(y)=f0(x,y,z,θ)；By ulow=1,
uup=1000 and F (u)=f2Y () substitutes into the second algorithm, obtain u*, update y*=u*；
4th step, presets x=x*, y=y*, θ=θ [t], defined function f3(z)=f0(x,y,z,θ)；By ulow=0, uup
=1000 and F (u)=f3Z () substitutes into the second algorithm, obtain u*, update z*=u*；
5th step, presets x=x*, y=y*, z=z*, defined function f4(θ)=f0(x,y,z,θ)；By ulow=1, uup=
T/x and F (u)=f4(θ) the second algorithm is substituted into, obtains u*, update θ*=u*；
6th step, updates t=t+1, x [t]=x*, y [t]=y*, z [t]=z*, θ [t]=θ*；If parameter x, y, z, θ is received
Hold back, i.e. | x [t]-x [t-1] |, | y [t]-y [t-1] |, | z [t]-z [t-1] |, | θ [t]-θ [t-1] | respectively less than assigned error doors
Limit, then stop iteration, exports last solution x*,y*,z*,θ*；Otherwise rebound second step.
According to K*=x*,M*=x*y*,τ*=θ*x*, and parameter M, K, τ are taken as into M*、K*、τ*Close on it is whole
Number.
Base station 501 is according to efficiency parameter configuration M, K, τ, the ρ for obtaining, random selection M roots dual-mode antenna and K receive user
502。
Corresponding pilot frequency sequence is distributed in base station 501 according to pilot sequence length τ to K user 502, and object transmission is believed
Make an uproar than ρ, reception antenna noise powerAnd the average channel decline β of each user 502kIt is sent to each user 502.
User 502 is according to object transmission signal to noise ratio ρ, the reception antenna noise powerWith the average channel
Decline βk, transmit power needed for calculating
User 502 uses transmit power pkTransmitting uplink data is carried out, base station 501 uses channel estimate matrix, calculate broken
Zero receiving matrix, so as to carry out signal interpretation, decoding process belongs to prior art, repeats no more here.
Preferably, in the embodiment of the present invention, second algorithm is golden cut algorithm, and golden cut algorithm includes：
First, the parameter area of each parameter in the uplink transmission parameter is obtained, and according to the parameter area, really
Corresponding original higher limit u of fixed described each parameterup, original lower limit value ulowAnd parameter calculation formula (alternating iteration and gold
F (u) in partitioning algorithm)；
Secondly, the difference of the original higher limit and the original lower limit value is compared | uup-ulow| miss with the tolerance of default iteration
Difference ε, | uup-ulow| during >=ε, obtain formula：u1=ulow+0.382×(uup-ulow) and u2=ulow+0.618×(uup-
ulow)；
Again, the u is substituted into respectively1And the u2To the parameter calculation formula, correspondence obtains the first result of calculation F
(u1) and the second result of calculation F (u2)；
Then, in F (u1)≥F(u2) when, update higher limit uup=u2；In F (u1)<F(u2) when, update lower limit ulow=
u1；
Finally, according to formula u*=(uup+ulow)/2, obtain the numerical value of each parameter in the uplink transmission parameter.
Using the embodiment of the present invention, the Massive mimo systems uplink transmission parameter for obtaining can make Massive MIMO
The efficiency of system is optimum, and user is maximum to the energy efficiency of base station transmission data.And can be obtained by the present embodiment, it is described
Parameter has higher fast convergence.
It is as shown in table 1 the simulation parameter set by the embodiment of the present invention.
Table 1
Circuit system power consumption factor vector [P is defined simultaneouslyFIX+PSYN,PBS,PUE], default value is
By adjusting coefficient of dilatation in emulationDifferent circuit power consumption coefficients are set
Fig. 6 is the alternating iteration of the embodiment of the present invention and the emulation schematic diagram of golden cut algorithm.Abscissa is represented in figure
The number of times of iteration, vertical coordinate represents the system energy efficiency for obtaining, dmaxRepresent radius of society, circuit system power consumption factor contraction-expansion factor
It is set toFour curve correspond to respectively different districts size.Carried algorithm can be clearly obtained in figure typically in iteration
Just restrain very well in 5 times, therefore computation complexity is very low, with good actual application value.
Fig. 7 is the alternating iteration and golden cut algorithm and the performance comparison schematic diagram of poor search algorithm of the embodiment of the present invention.
Abscissa represents radius of society in figure, and vertical coordinate represents the system energy efficiency for obtaining,Represent circuit system power consumption factor it is flexible because
Son.Different curves correspond to different circuit power consumption coefficients settings in figure.It can be seen that carrying the system energy that algorithm is obtained in figure
Effect is coincide with poor search algorithm substantially, shows that carried algorithm can find the systematic parameter configuration of global optimum.
Fig. 8 is the efficiency data determination method of the embodiment of the present invention and the system energy of prior art efficiency parameter optimization method
Effect contrast schematic diagram.Abscissa represents circuit system power consumption factor contraction-expansion factor, the electricity that the bigger expression system of value is adopted in figure
Road components and parts power consumption is bigger, and vertical coordinate represents the system energy efficiency for obtaining.Can be seen that in figure, compared to prior art, the present invention is real
Applying the determination method and device of the extensive mimo systems efficiency data that example is proposed can obtain more preferable systematic parameter
Configuration, is effectively improved system energy efficiency.For example, when circuit system power consumption is relatively lowThe embodiment of the present invention is adopted
The performance of alternating iteration and golden cut algorithm lift 24% and 93% respectively (when radius of society is d than prior artmax
During=200m), 48% and 235% (when radius of society be dmaxDuring=400m).Wherein, the system energy efficiency that prior art 1 is obtained is not
With base station end channel estimation errors in real system；The system energy efficiency that prior art 2 is obtained does not have uplink pilot tone sequence
Row length parameter and channel estimation errors, and the parameter for enabling the system to imitate optimum is determined using poor search algorithm.
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality
Body or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or deposit between operating
In any this actual relation or order.And, term " including ", "comprising" or its any other variant are intended to
Nonexcludability is included, so that a series of process, method, article or equipment including key elements not only will including those
Element, but also including other key elements being not expressly set out, or also include for this process, method, article or equipment
Intrinsic key element.In the absence of more restrictions, the key element for being limited by sentence "including a ...", it is not excluded that
Also there is other identical element in process, method, article or equipment including the key element.
Presently preferred embodiments of the present invention is the foregoing is only, protection scope of the present invention is not intended to limit.It is all
Any modification, equivalent substitution and improvements made within the spirit and principles in the present invention etc., are all contained in protection scope of the present invention
It is interior.
Claims (10)
1. a kind of determination method of extensive multiple-input, multiple-output Massive mimo systems efficiency data, it is characterised in that include：
The Massive mimo system efficiency data with Massive mimo system uplink transmission parameters that acquisition pre-builds,
Wherein, the uplink transmission parameter at least includes：Pilot sequence length parameter, object transmission signal to noise ratio parameter, antenna for base station number
Amount parameter and the number of users parameter of the access base station；
By presetting the first algorithm, the first number for meeting the first pre-conditioned pilot sequence length parameter is respectively obtained
Value, the second value for meeting the second pre-conditioned object transmission signal to noise ratio parameter, to meet the 3rd pre-conditioned described
The number of users parameter of the 4th pre-conditioned access base station of third value and satisfaction of antenna for base station number parameter
The 4th numerical value；
According to first numerical value, the second value, the third value, the 4th numerical value and the Massive MIMO
System energy efficiency data, the numerical value for determining the Massive mimo systems efficiency data is optimum energy valid value.
2. the determination method of multiple-input, multiple-output Massive mimo system efficiency data as claimed in claim 1 extensive, it is special
Levy and be, it is described to obtain the Massive mimo system energy with Massive mimo system uplink transmission parameters for pre-building
Before effect data, the determination method of the extensive multiple-input, multiple-output Massive mimo systems efficiency data also includes：
According to the uplink transmission parameter, each user's average uplink transfer rate of access base station is determined；
According to described each user's average uplink transfer rate, total uplink speed of the Massive mimo systems is obtained
Rate；
Obtain the total system power consumption of the Massive mimo systems；
According to total uplink transmission rate and the ratio of the total system power consumption, the Massive mimo systems efficiency is set up
Data.
3. the determination method of multiple-input, multiple-output Massive mimo system efficiency data as claimed in claim 2 extensive, it is special
Levy and be, it is described that each user's average uplink transfer rate of access base station is determined according to the uplink transmission parameter, including：
The system basic parameter of the Massive mimo systems is obtained, wherein, the system basic parameter at least includes：It is overall
Number of symbols parameter is transmitted in bandwidth parameter, relevant Resource Block；
According to the uplink transmission parameter, the system basic parameter and formula
Determine each user's average uplink transfer rate of access base station；
Wherein, the RkFor each user's average uplink transfer rate of the access base station, the τ is that pilot sequence length is joined
Number, the T is described to transmit number of symbols parameter in relevant Resource BlockTo pass in the shared relevant Resource Block of ascending pilot frequency transmission
The ratio of defeated number of symbols, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, and the K is described to access
The number of users parameter of base station, the ρ is object transmission signal to noise ratio parameter.
4. the determination method of multiple-input, multiple-output Massive mimo system efficiency data as claimed in claim 2 extensive, it is special
Levy and be, each user's average uplink transfer rate, obtains the total up of the Massive mimo systems described in the basis
Transfer rate, including：
According to each user's average uplink transfer rate and formula of the access base station
Obtain total uplink transmission rate of the Massive mimo systems；
Wherein, the RtotFor total uplink transmission rate of the Massive mimo systems, the RkFor the access base station
Each user's average uplink transfer rate, the τ is pilot sequence length parameter, and the T is to transmit symbol in relevant Resource Block
Number of parameters, it is describedTo transmit the ratio of number of symbols in the shared relevant Resource Block of ascending pilot frequency transmission, the K is access institute
The number of users parameter of base station is stated, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, and the ρ is target
Transmission signal to noise ratio parameter.
5. the determination method of multiple-input, multiple-output Massive mimo system efficiency data as claimed in claim 2 extensive, it is special
Levy and be, the total system power consumption for obtaining the Massive mimo systems, including：
The system power dissipation parameter of the Massive mimo systems is obtained, wherein, the system power dissipation parameter at least includes：System
Power amplifier power consumption factor parameter, circuit system power consumers correlation coefficient parameter, circuit system power consumers antenna joint phase relation
Number parameter, circuit system rate of power consumption correlation coefficient parameter；
According to the system power dissipation parameter and formula
Obtain the total system power consumption of the Massive mimo systems；
Wherein, the PtotFor the total system power consumption of the Massive mimo systems, the δ is system power amplifier power consumption factor, institute
It is the number of users parameter for accessing the base station to state K, and the ρ is object transmission signal to noise ratio parameter, and the δ K ρ are user side power
The power consumption of amplifier, it is describedFor circuit system power consumers correlation coefficient parameter, the M is antenna for base station number parameter, institute
StateIt is described for circuit system power consumers antenna association coefficient parameterFor circuit system rate of power consumption correlation coefficient
Parameter, the RtotIt is described for the total uplink transmission rate of systemFor circuit power consumption.
6. the determination method of multiple-input, multiple-output Massive mimo system efficiency data as claimed in claim 1 extensive, it is special
Levy and be, it is described by presetting the first algorithm, respectively obtain and meet the first pre-conditioned pilot sequence length parameter
First numerical value, the second value for meeting the second pre-conditioned object transmission signal to noise ratio parameter, satisfaction the 3rd are pre-conditioned
The antenna for base station number parameter third value and meet the 4th pre-conditioned access base station number of users
4th numerical value of amount parameter, including：
The numerical value of the other specification in addition to the first parameter being respectively allocated in the uplink transmission parameter is the first predetermined constant, right
The first parameter calculation formula should be obtained, wherein, first parameter is the pilot sequence length parameter, object transmission letter
Any one made an uproar in the number of users parameter of base station more described than parameter, the antenna for base station number parameter and the access；
According to first parameter calculation formula and the second preset algorithm, the first parameter in the uplink transmission parameter is obtained
Numerical value；
The number of the other specification in addition to the second parameter and first parameter being respectively allocated again in the uplink transmission parameter
It is worth for the second predetermined constant, and according to the numerical value of first parameter, correspondence obtains the second parameter calculation formula, wherein, it is described
Second parameter be the pilot sequence length parameter, the object transmission signal to noise ratio parameter, the antenna for base station number parameter and
Any one in the number of users parameter for accessing the base station in addition to first parameter；
According to second parameter calculation formula and the second preset algorithm, the second parameter in the uplink transmission parameter is obtained
Numerical value；
The numerical value for redistributing the 4th parameter in the uplink transmission parameter is the 3rd predetermined constant, according to first parameter
Numerical value, the numerical value of second parameter, correspondence obtains the 3rd parameter calculation formula, wherein, the 3rd parameter is led for described
Frequency sequence length parameter, the object transmission signal to noise ratio parameter, the antenna for base station number parameter and the access base station
Number of users parameter in any one in addition to first parameter, second parameter；
According to the 3rd parameter calculation formula and the second preset algorithm, the 3rd parameter in the uplink transmission parameter is obtained
Numerical value；
The numerical value of numerical value, the numerical value of second parameter and the 3rd parameter according to first parameter, correspondence obtains the
Four parameter calculation formulas, wherein, first parameter, second parameter, the 3rd parameter are with the 4th parameter for not
Same parameter；
According to the 4th parameter calculation formula and the second preset algorithm, the 4th parameter in the uplink transmission parameter is obtained
Numerical value, until it is pre- to respectively obtain the first numerical value of the first pre-conditioned pilot sequence length parameter of satisfaction, satisfaction second
If the pre-conditioned antenna for base station quantity ginseng of the second value of the object transmission signal to noise ratio parameter of condition, satisfaction the 3rd
Several third value and the 4th number of the number of users parameter for meeting the described 4th pre-conditioned access base station
Value；
Wherein, the absolute value of the difference of the described first pre-conditioned the first numerical value and first numerical value at a upper moment for current time
Less than default first threshold value, the second value at the described second pre-conditioned second value for current time and a upper moment it
Poor absolute value is less than default second threshold value, the 3rd pre-conditioned third value for current time and a upper moment
The absolute value of the difference of third value less than default 3rd threshold value, the described 4th pre-conditioned the 4th numerical value for current time with
The absolute value of the difference of the 4th numerical value at a upper moment is less than default 4th threshold value.
7. the determination method of multiple-input, multiple-output Massive mimo system efficiency data as claimed in claim 6 extensive, it is special
Levy and be, second preset algorithm is golden cut algorithm, wherein, the golden cut algorithm, including：
The parameter area of each parameter in the uplink transmission parameter is obtained, and according to the parameter area, is determined described every
The corresponding original higher limit of individual parameter, original lower limit value and parameter calculation formula；
Relatively the difference and default iteration tolerable error of the original higher limit and the original lower limit value, big in the difference
When the default iteration tolerable error, formula is obtained：u1=ulow+0.382×(uup-ulow) and u2=ulow+0.618×
(uup-ulow)；
The u is substituted into respectively1And the u2To the parameter calculation formula, correspondence obtains the first result of calculation and the second calculating
As a result；
When first result of calculation is more than or equal to second result of calculation, by the u2Replace the original higher limit；
When first result of calculation is less than second result of calculation, by the u1Replace the original lower limit value；
According to formula：u*=(uup+ulow)/2, obtain the numerical value of each parameter in the uplink transmission parameter；
Wherein, the ulowFor the lower limit of each parameter in the uplink transmission parameter, the uupFor uplink ginseng
The higher limit of each parameter in number, the u1It is the new lower limit obtained by golden section formula, the u2It is by Huang
The new higher limit that gold segmentation formula is obtained.
8. the determination method of multiple-input, multiple-output Massive mimo system efficiency data as claimed in claim 2 extensive, it is special
Levy and be, it is described according to total uplink transmission rate and the ratio of the total system power consumption, set up the Massive MIMO
System energy efficiency data, including：
According to formula：
Set up the Massive mimo systems efficiency data；
Wherein, the EE be the Massive mimo systems efficiency data, the RtotFor total uplink speed of the system
Rate, the PtotFor the total power consumption of the system, the τ is pilot sequence length parameter, and the T is transmission in relevant Resource Block
Number of symbols parameter, it is describedTo transmit the ratio of number of symbols in the shared relevant Resource Block of ascending pilot frequency transmission, the K is to connect
Enter the number of users parameter of the base station, the B is overall bandwidth parameter, and the M is antenna for base station number parameter, and the ρ is
Object transmission signal to noise ratio parameter, the δ be system power amplifier power consumption factor, the δ K ρ for user side power amplifier power consumption, institute
StateIt is described for circuit system power consumers correlation coefficient parameterFor circuit system power consumers antenna association coefficient ginseng
Number, it is describedIt is described for circuit system rate of power consumption correlation coefficient parameterFor circuit
Power consumption.
9. the determination method of multiple-input, multiple-output Massive mimo system efficiency data as claimed in claim 1 extensive, it is special
Levy and be, it is described according to first numerical value, the second value, the third value, the 4th numerical value and described
Massive mimo system efficiency data, the numerical value for determining the Massive mimo systems efficiency data is optimum energy valid value,
Including：
Substitute into first numerical value, the second value, the third value, the 4th numerical value to the Massive MIMO
In system energy efficiency data, the numerical value for determining the Massive mimo systems efficiency data is optimum energy valid value.
10. a kind of determining device of extensive multiple-input, multiple-output Massive mimo systems efficiency data, it is characterised in that include：
System energy efficiency data acquisition module, for obtain pre-build with Massive mimo system uplink transmission parameters
Massive mimo system efficiency data, wherein, the uplink transmission parameter at least includes：Pilot sequence length parameter, target
The number of users parameter of transmission signal to noise ratio parameter, antenna for base station number parameter and the access base station；
Uplink transmission parameter determining module, for by presetting the first algorithm, respectively obtaining, to meet first pre-conditioned described
First numerical value of pilot sequence length parameter, the second number for meeting the second pre-conditioned object transmission signal to noise ratio parameter
Value, the third value for meeting the 3rd pre-conditioned antenna for base station number parameter and meet the 4th and pre-conditioned described connect
Enter the 4th numerical value of the number of users parameter of the base station；
Optimum efficiency determining module, for according to first numerical value, the second value, the third value, the described 4th
Numerical value and the Massive mimo systems efficiency data, determine the numerical value of the Massive mimo systems efficiency data for most
Excellent energy valid value.
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| CN109379752A (en) * | 2018-09-10 | 2019-02-22 | 中国移动通信集团江苏有限公司 | Optimization method, device, equipment and the medium of Massive MIMO |
| CN109379752B (en) * | 2018-09-10 | 2021-09-24 | 中国移动通信集团江苏有限公司 | Massive MIMO optimization method, device, equipment and medium |
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