CN110176950A - A kind of extensive mimo system uplink optimum quantization bit number calculation method of low Precision A/D C - Google Patents
A kind of extensive mimo system uplink optimum quantization bit number calculation method of low Precision A/D C 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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- 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
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0602—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using antenna switching
- H04B7/0608—Antenna selection according to transmission parameters
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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
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- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The present invention discloses a kind of extensive mimo system uplink optimum quantization bit number calculation method of low Precision A/D C.Firstly, the information such as input channel matrix, base station received signal vector, user emission power and distribution control parameter；Secondly, calculating quantization bit allocation result using distribution method；Finally, optimal distributing scheme of the output after iteration several times.The present invention is able to solve the ADC quantization bit select permeability of the more extensive mimo system uplink of number of users, is suitable under Rayleigh fading channel, and this method has many advantages, such as to have wide range of applications, computation complexity is low and energy efficiency is high.
Description
Technical field
The present invention relates to one kind to be suitable in extensive MIMO (Multiple-Input-Multiple-Output) system
Low Precision A/D C (Analog-to-Digital Converter: analog-digital converter) optimum quantization bit number of line link
Calculation method belongs to wireless communication technology field.
Background technique
In recent years, increasing with handheld devices such as mobile phone, plates proposes higher demand to the transmission of mobile data,
To promote mobile communication field to quickly grow.Currently, the correlative study of the 5th Generation Mobile Communication System (5G) is actively opened up
It opens.Wherein, one of 5G physical layer core technology is extensive MIMO.It is big to advise by using a large amount of dual-mode antenna in base station side
Mould mimo system can use additional freedom degree, the multiple data flows of parallel transmission, while improve diversity gain, so as to pole
The big increase availability of frequency spectrum improves transmission reliability and improves the energy efficiency of system.
Since the data of transmission are more and more, so to dispose a large amount of dual-mode antenna in base station.Traditional is extensive
Mimo system uses full precision ADC, this can bring a large amount of hardware cost and power consumption.In generation, is come by using low Precision A/D C
For full precision ADC, efficiency can be greatly improved.ADC quantizing bit number purpose optimum allocation method becomes big rule in uplink
The important subject faced in mould mimo system practical application."L.Fan,S.Jin,C.K.Wen,and H.Zhang,
“Uplink achievable rate for massive mimo systems with low-resolution adc,”
IEEE Communications Letters, vol.19, no.12, pp.2186-2189, Dec 2015 " are pointed out using low precision
Performance degradation caused by ADC can compensate by increasing number of antennas, it was demonstrated that using low Precision A/D C substitute full precision
The feasibility of ADC.But " Y.Li, C.Tao, L.Liu, G.Seco-Granados, and A.L.Swindlehurst,
“Channel estimation and uplink achievable rates in one-bit massive mimo
systems,”in 2016IEEE Sensor Array and Multichannel Signal Processing Workshop
(SAM), in 2016 July, pp.1-5. ", author points out to go for using the 1 extensive mimo system of bit A/D C and high-precision
The identical performance of ADC system, number of antennas need to be 2-2.5 times of high-precision adc system, this will increase the deployment difficulty of base station
With hardware cost.
2016, in " N.Liang and W.Zhang, " Mixed-ADC Massive MIMO, " in IEEE
Journal on Selected Areas in Communications,vol.34,no.4,pp.983-997,April
A kind of mixed-precision ADC structure is proposed in 2016. ", and high-precision adc a part of in system is replaced with to the ADC of 1 bit,
The achievable rate of system is measured on the basis of this by broad sense interactive information.Author has derived broad sense interaction letter under different situations
The expression formula of the closed form of breath, and prove that this structure can be realized the big portion of traditional high-precision adc structure mimo system
Divide performance.
The present invention is based on mixed-precision ADC structures, propose a kind of low Precision A/D C suitable for extensive MIMO uplink
Optimum quantization bit number distribution method, when number of users is more, performance is good.
Summary of the invention
Goal of the invention: for the problem that energy consumption in extensive mimo system is excessively high, the present invention proposes that a kind of low Precision A/D C is big
Scale mimo system uplink optimum quantization bit number distribution method, this method simple possible are particularly suitable for
The more extensive mimo system of number of users under Rayleigh fading channel.
Technical solution: a kind of low Precision A/D C optimum quantization bit number distribution method of extensive mimo system uplink,
If intra-cell users number is K, each user is only equipped with 1 dual-mode antenna, and base station side configures N root receiving antenna, N > > K.Enable y
=[y1,y2,...,yN]TIndicate uplink base station received signal vector, wherein yn(n=1,2 ..., N) indicate base station n-th
Root antenna received signal.Y can be expressed as
Wherein H is N × K dimension matrix, a element H of (i, j) of HijIndicate j-th of user to i-th antenna in base station letter
Road gain includes Rayleigh fading, path loss and Lognormal shadowing, can use H=GD1/2It indicates, D is to contain
The diagonal matrix of Lognormal shadowing and path loss factor.Gij(1≤i≤N, 1≤j≤K) independently of each other, obeying mean value is
0, the Cyclic Symmetry multiple Gauss that variance is 1 is distributed；X=[x1,x2,...,xK]T, wherein xk(k=1,2, .., K) and it indicates k-th
The signal that user sends, xk(k=1,2, .., K) independently of each other, and mean value 0, variance 1；N=[n1,n2,...,nN]TIt indicates
The reception noise vector of base station, wherein nmIndicate the reception noise at base station m root antenna, nm(m=1,2 ..., N) mutually
Independent, obedience mean value is 0, variance isCyclic Symmetry multiple Gauss distribution.
The distribution method includes following 5 steps:
Step 1: in the uplink of extensive mimo system, base station configures N root antenna, while using for K single antenna
Family provides service, N in the N root antenna of base stationHRoot antenna is connected to the analog/digital converter ADC of degree of precision, wherein NH∈
[N1,N2], NH,N1,N2For natural number, 0≤N1< N2The quantization bit b of≤N, degree of precision ADCH∈[b1,b2] bits, b1,b2
For positive integer, b1< b2, remaining NL=N-NHRoot antenna is connected to the ADC of lower accuracy, wherein the quantization of lower accuracy ADC
Bit bL∈[b3,b4] bits, b3,b4For positive integer, b3< b4≤b1, setting iterative parameter is respectively γ, θ, ζ, wherein γ, θ,
ζ is positive integer, NHInitial section [N1,N2] it is [0, N]；
Step 2: by NHValue interval be divided into γ subinterval, and choose μ1A NHTypical value；By bHValue area
Between [b1,b2] it is divided into θ subinterval, and choose μ2A bHTypical value；By bLValue interval in [b3,b4] it is divided into ζ
Subinterval, and choose μ3A bLTypical value；Total δ=μ above1μ2μ3The kind alternative allocation plan of antenna ADC quantization bit；
Step 3: according to channel matrix H (N ' K dimension), base station received signal vector y (dimension of N ' 1), the transmitting function of each user
Rate pu, channel noise varianceBandwidth B, the power P of every RF chainRF, use parameter NH、bH、bLThe alternative allocation plan of δ kind,
Calculate separately achievable rate R, power consumption PtotAnd energy efficiency ηEE=BR/Ptot；
Step 4: selected from the alternative allocation plan of δ kind so that the highest N of energy efficiencyH、bH、bLValue is denoted as
Step 5: if meeting iteration stopping condition, exporting optimal allocation plan: being connected to the day of the ADC of degree of precision
Line number meshAnd its quantization bitIt is connected to the number of antennas of the ADC of lower accuracyAnd its quantization bitOtherwise root
According to what is obtainedBy NH, bH、bLValue interval be updated, and repeat step 2- step 4；
2, the specific steps of substitution tabular value described in step 2 are as follows:
NHValue interval [N1,N2] length isIfThen take in section all integers as NH's
μ1A typical value；Otherwise by NHValue interval be divided into γ subinterval,Q is denoted as with the quotient of γ1, remainder is denoted as s1,
Preceding s1A sub- siding-to-siding block length is q1+ 1, remaining γ-s1A sub- siding-to-siding block length is q1, each subinterval takes intermediate value and carries out four houses
Five enter the typical value as the subinterval, obtain μ1A typical value.bHValue interval [b1,b2] length isIfThen take in section all integers as bHμ2A typical value, otherwise by bHValue interval be divided into θ sub-district
Between,Q is denoted as with the quotient of θ2, remainder is denoted as s2, preceding s2A sub- siding-to-siding block length is q2+ 1, remaining θ-s2A sub- siding-to-siding block length
For q2, the typical value that each subinterval rounds up as the subinterval to intermediate value obtains μ2A typical value.bLValue
Section [b3,b4] length isIfThen take in section all integers as bLμ3Otherwise a typical value will
bLValue interval be divided into ζ subinterval,Q is denoted as with the quotient of ζ3, remainder is denoted as s3, preceding s3A sub- siding-to-siding block length is q3
+ 1, remaining ζ-s3A sub- siding-to-siding block length is q3, representative that each subinterval takes intermediate value and rounds up as the subinterval
Value, obtains μ3A typical value.
3, the specific steps of achievable rate are calculated described in step 3 are as follows:
Step 301: calculating the Signal to Interference plus Noise Ratio of each user
Wherein, hiAnd hkRespectively channel matrix H i-th (i=1,2 ..., K；I ≠ k) column and kth (k=1,2 ...,
K it) arranges；| | | | it is Euclidean norm；Diag () is diagonal for element of the matrix in addition to diagonal line is become 0, A
Gust, N before leading diagonalHA element is αH(αH=1- βH), remaining element is αL(αL=1- βL), work as b=1, b=2, b=3, b
When=4, b=5, βHAnd βLValue be respectively 0.3634,0.1175,0.03454,0.009497,0.002499, as b > 5,
It takesCome approximate；INFor unit battle array；
Step 302: calculating the achievable rate R of each userk=log2(1+SINRk) and and rate
4, the specific steps of calculating power consumption described in step 3 and energy efficiency are as follows:
Total power consumption is divided into three parts: Ptot=Pr+Ptx+Pfix, whereinRepresentative connects
The power consumption of receipts machine, PRFFor the power of low-noise amplifier, mixing and local oscillator, frequency mixer in every RF chain, degree of precision
The power of ADCThe power of lower accuracy ADCC is the energy consumption that every step calculates；Ptx=Kpu, generation
The power consumption of all transmitting antennas of table；PfixRepresent the fixation power consumption for maintaining base station operation.
Step 402: energy efficiency
5, the specific steps that section described in step 5 updates are as follows:
According to obtained in step 4With the value subinterval divided in step 2, find respectivelyPlace subinterval, and as NH, bH、bLNew value interval.
6, the actual conditions of iteration stopping described in step 5 are as follows:
Work as NHValue interval length be less than or equal to γ when, NHValue be fixed asValue, no longer change.Work as bHTake
When being worth siding-to-siding block length less than or equal to θ, bHValue be fixed asValue, no longer change.Work as bLValue interval length be less than etc.
When ζ, bLValue be fixed asValue, no longer change；When Value when being all fixed up, stop iteration.
The utility model has the advantages that compared with prior art, the low extensive mimo system uplink of Precision A/D C provided by the present invention
Optimum quantization bit number distribution method, has the advantages that
(1) it has wide range of applications.Scheme proposed by the invention can be flexibly applied to the extensive MIMO of random scale
In system, the less scene of number of users both can be applied to, also can be applied to the more scene of number of users；
(2) calculated result is accurate.By the successive ignition of step 2- step 5, the high distribution method of available accuracy；
(3) computation complexity is low.Scheme proposed by the invention, by step 2 to the division of value interval and representative
The selection of value, reduces calculation amount, significantly reduces computation complexity；
(4) energy efficiency is high.Scheme proposed by the invention constantly chooses energy efficiency by step 4 in successive ignition
Highest allocation plan obtains good performance efficiency.
Detailed description of the invention
Fig. 1 is the extensive mimo system uplink optimum quantization bit number meter of low Precision A/D C of the embodiment of the present invention
The implementation flow chart of calculation method；
Fig. 2 is the transmitting terminal receiving end block diagram of the low extensive mimo system uplink of Precision A/D C in the present invention.K use
Family is as transmitting terminal, piece antenna of each user configuration；Base station configures N root antenna as receiving end.
Specific embodiment
Combined with specific embodiments below, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate the present invention
Rather than limit the scope of the invention, after the present invention has been read, those skilled in the art are to various equivalences of the invention
The modification of form falls within the application range as defined in the appended claims.
As shown in Figure 1, specific implementation step of the invention mainly includes following eight steps:
Step 1: various parameters and information required for input algorithm.This step needs input channel matrix H, and base station connects
The signal phasor y received, bandwidth B, antenna for base station number N, number of users K are connected to the number of antennas N of degree of precision ADCH's
Value interval [N1,N2], the ADC quantization bit b of degree of precisionHValue interval [b1,b2], the ADC quantization bit of lower accuracy
bLValue interval [b3,b4] etc. parameters；It is arranged iterative parameter γ, θ, ζ (γ, θ, ζ are positive integer), N is set1=0, N2=N.
Step 2: NHValue interval [N1,N2] length isIfAll integers in section are then taken to make
For NHμ1A typical value；Otherwise by NHValue interval be divided into γ subinterval,Q is denoted as with the quotient of γ1, remainder note
For s1, preceding s1A sub- siding-to-siding block length is q1+ 1, remaining γ-s1A sub- siding-to-siding block length is q1, each subinterval takes intermediate value and carries out
The typical value to round up as the subinterval, obtains μ1A typical value.bHValue interval [b1,b2] length isIfThen take in section all integers as bHμ2A typical value, otherwise by bHValue interval be divided into θ sub-district
Between,Q is denoted as with the quotient of θ2, remainder is denoted as s2, preceding s2A sub- siding-to-siding block length is q2+ 1, remaining θ-s2A sub- siding-to-siding block length
For q2, the typical value that each subinterval rounds up as the subinterval to intermediate value obtains μ2A typical value.bLValue
Section [b3,b4] length isIfThen take in section all integers as bLμ3Otherwise a typical value will
bLValue interval be divided into ζ subinterval,Q is denoted as with the quotient of ζ3, remainder is denoted as s3, preceding s3A sub- siding-to-siding block length is q3
+ 1, remaining ζ-s3A sub- siding-to-siding block length is q3, representative that each subinterval takes intermediate value and rounds up as the subinterval
Value, obtains μ3A typical value.Total δ=μ available in this way1μ2μ3The kind alternative allocation plan of antenna ADC quantization bit.
Step 3: according to channel matrix H (N ' K dimension), base station received signal vector y (dimension of N ' 1), the transmitting function of each user
Rate pu, channel noise varianceBandwidth B, the power P of every RF chainRF, use parameter NH、bH、bLThe alternative allocation plan of δ kind,
Calculate separately achievable rate, specific steps are as follows:
Step 301: calculating the Signal to Interference plus Noise Ratio of each user
Wherein, hiAnd hkRespectively channel matrix H i-th (i=1,2 ..., K；I ≠ k) column and kth
(k=1,2 ..., K) column；| | | | it is Euclidean norm；Diag () be by matrix in addition to diagonal line
It is diagonal matrix, N before leading diagonal that element, which becomes 0, A,HA element is αH(αH=1- βH), remaining element is αL(αL=1-
βL), work as b=1, b=2, b=3, when b=4, b=5, βH(βL) value be respectively 0.3634,0.1175,0.03454,
0.009497,0.002499, as b > 5, takeCome approximate；INFor unit battle array；
Step 302: calculating the achievable rate R of each userk=log2(1+SINRk) and and rate
Step 4: calculating power consumption, specific steps are as follows:
Total power consumption is divided into three parts: Ptot=Pr+Ptx+Pfix, whereinRepresentative connects
The power consumption of receipts machine, PRFFor the power of low-noise amplifier, mixing and local oscillator, frequency mixer in every RF chain, wherein higher
The power of Precision A/D CThe power of lower accuracy ADCC is the energy consumption that every step calculates；Ptx=
Kpu, represent the power consumption of all transmitting antennas；PfixRepresent the fixation power consumption for maintaining base station operation.
Step 5: energy efficiency
Step 6: therefrom being selected according to the energy efficiency being calculated in the 5th step so that the highest N of energy efficiencyH、bH、
bLTypical value is denoted as
Step 7: working as NHValue interval [N1,N2] length be less than or equal to γ when, NHValue be fixed asValue, no longer
Change；Work as bHValue interval [b1,b2] length be less than or equal to θ when, bHValue be fixed asValue, no longer change；Work as bL's
When value interval length is less than or equal to ζ, bLValue be fixed asValue, no longer change.Value it is fixed under
When coming, stop iteration, otherwise according to obtained in the 6th stepWith the subinterval divided in second step, determineRespectively in which subinterval, using the value interval as NH, bH、bLNew value interval, and repeat the
Two steps to the 7th step.
Step 8: the configuration method that output is optimal: being connected to the number of antennas of degree of precision ADCAnd its quantization bitIt is connected to the number of antennas of lower accuracy ADCAnd its quantization bit
Table 1 is the energy efficiency simulation result table of the embodiment of the present invention.In simulation parameter, bandwidth B 20MHz, noise function
Rate spectrum density is -174dBm/Hz, user's average emitted power pu=10mW, c=495fJ, PRF=9mW, Pfix=200mW.
The first situation number of antennas N=100, degree of precision ADC quantizing bit number bH∈ [5,8], lower accuracy ADC amount
Change bit number bL∈[1,4]。
Second situation number of antennas N=200, degree of precision ADC quantizing bit number bH∈ [5,8], lower accuracy ADC amount
Change bit number bL∈[1,4]。
The third situation number of antennas N=100, degree of precision ADC quantizing bit number bH∈ [6,10], lower accuracy ADC
Quantizing bit number bL∈[1,5]。
Table 1
Claims (6)
1. a kind of extensive mimo system uplink optimum quantization bit number calculation method of low Precision A/D C, which is characterized in that
It comprises the steps of:
Step 1: in the uplink of extensive mimo system, base station configures N root antenna, while mentioning for K single-antenna subscriber
For servicing, N in the N root antenna of base stationHRoot antenna is connected to the analog-digital converter ADC of degree of precision, wherein NH∈[N1,
N2], NH,N1,N2For natural number, 0≤N1< N2The quantization bit b of≤N, degree of precision ADCH∈[b1,b2] bits, b1,b2It is positive
Integer, b1< b2, remaining NL=N-NHRoot antenna is connected to the ADC of lower accuracy, wherein the quantization bit of lower accuracy ADC
bL∈[b3,b4] bits, b3,b4For positive integer, b3< b4≤b1, setting iterative parameter is respectively γ, θ, ζ, wherein γ, θ, ζ are equal
For positive integer, NHInitial section [N1,N2] it is [0, N]；
Step 2: by NHValue interval [N1,N2] it is divided into γ subinterval, and choose μ1A NHTypical value；By bHValue
Section [b1,b2] it is divided into θ subinterval, and choose μ2A bHTypical value；By bLValue interval in [b3,b4] it is divided into ζ
A subinterval, and choose μ3A bLTypical value；Total δ=μ above1μ2μ3The kind alternative allocation plan of antenna ADC quantization bit；；
Step 3: according to channel matrix H, base station received signal vector y, the transmission power p of each useru, channel noise varianceBandwidth B, the power P of every RF chainRF, use parameter NH、bH、bLThe alternative allocation plan of δ kind, calculate separately achievable rate
R, power consumption PtotAnd energy efficiency ηEE=BR/Ptot；
Step 4: selecting from the alternative allocation plan of δ kind antenna ADC quantization bit so that the highest N of energy efficiencyH、bH、bLIt takes
Value, is denoted as
Step 5: if meeting iteration stopping condition, exporting optimal allocation plan: being connected to the antenna number of the ADC of degree of precision
MeshAnd its quantization bitIt is connected to the number of antennas of the ADC of lower accuracyAnd its quantization bitOtherwise, according to
It obtainsUpdate NH, bH、bLValue interval, and repeat step 2- step 4.
2. a kind of low extensive mimo system uplink optimum quantization bit number meter of Precision A/D C as described in claim 1
Calculation method, it is characterised in that: division value interval described in step 2 and the specific steps for replacing tabular value are as follows:
NHValue interval [N1,N2] length isIfThen take in section all integers as NHμ1A generation
Tabular value；Otherwise by NHValue interval be divided into γ subinterval,Q is denoted as with the quotient of γ1, remainder is denoted as s1, preceding s1It is a
Subinterval length is q1+ 1, remaining γ-s1A sub- siding-to-siding block length is q1, each subinterval takes intermediate value and carries out the work that rounds up
For the typical value in the subinterval, μ is obtained1A typical value；bHValue interval [b1,b2] length isIfThen
Take in section all integers as bHμ2A typical value, otherwise by bHValue interval be divided into θ subinterval,With θ
Quotient be denoted as q2, remainder is denoted as s2, preceding s2A sub- siding-to-siding block length is q2+ 1, remaining θ-s2A sub- siding-to-siding block length is q2, every height
The typical value that section rounds up as the subinterval to intermediate value, obtains μ2A typical value；bLValue interval [b3,b4]
Length isIfThen take in section all integers as bLμ3A typical value, otherwise by bLValue area
Between be divided into ζ subinterval,Q is denoted as with the quotient of ζ3, remainder is denoted as s3, preceding s3A sub- siding-to-siding block length is q3+ 1, it is remaining
ζ-s3A sub- siding-to-siding block length is q3, the typical value that each subinterval takes intermediate value and rounds up as the subinterval obtains μ3
A typical value.
3. a kind of low extensive mimo system uplink optimum quantization bit number meter of Precision A/D C as described in claim 1
Calculation method, it is characterised in that: the specific steps of achievable rate are calculated described in step 3 are as follows:
Step 301: calculating the Signal to Interference plus Noise Ratio of each user
Wherein, hiAnd hkRespectively channel matrix H i-th (i=1,2 ..., K；I ≠ k) column and kth (k=1,2 ..., K) column；
| | | | it is Euclidean norm；Diag () is diagonal matrix for element of the matrix in addition to diagonal line is become 0, A,
N before leading diagonalHA element is αH(αH=1- βH), remaining element is αL(αL=1- βL), as ADC quantizing bit number b=1, b=
When 2, b=3, b=4, b=5, βHAnd βLValue be respectively 0.3634,0.1175,0.03454,0.009497,0.002499,
As b > 5, takeCome approximate；INFor unit battle array；
Step 302: calculating the achievable rate R of each userk=log2(1+SINRk) and and rate
4. a kind of low extensive mimo system uplink optimum quantization bit number meter of Precision A/D C as described in claim 1
Calculation method, it is characterised in that: the specific steps of calculating power consumption described in step 3 are as follows:
Total power consumption is divided into three parts: Ptot=Pr+Ptx+Pfix, whereinRepresent receiver
Power consumption, PRFFor the power of low-noise amplifier, mixing and local oscillator, frequency mixer in every RF chain；Degree of precision ADC's
PowerThe power of lower accuracy ADCC is the energy consumption that every step calculates；Ptx=Kpu, represent institute
There is the power consumption of transmitting antenna；PfixRepresent the fixation power consumption for maintaining base station operation.
5. a kind of low extensive mimo system uplink optimum quantization bit number meter of Precision A/D C as described in claim 1
Calculation method, it is characterised in that: the specific steps that value interval described in step 5 updates are as follows:
According to obtained in step 4With the value subinterval divided in step 2, find respectively
Place subinterval, and as NH, bH、bLNew value interval.
6. a kind of low extensive mimo system uplink optimum quantization bit number meter of Precision A/D C as described in claim 1
Calculation method, it is characterised in that: the actual conditions of iteration stopping described in step 5 are as follows:
Work as NHValue interval [N1,N2] length be less than or equal to γ when, NHValue be fixed asValue, no longer change.Work as bH's
Value interval [b1,b2] length be less than or equal to θ when, bHValue be fixed asValue, no longer change.Work as bLValue interval
[b3,b4] length be less than or equal to ζ when, bLValue be fixed asValue, no longer change；WhenValue it is all fixed
When getting off, stop iteration.
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