CN104378150B - The power distribution method of error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas - Google Patents
The power distribution method of error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas Download PDFInfo
- Publication number
- CN104378150B CN104378150B CN201410593990.4A CN201410593990A CN104378150B CN 104378150 B CN104378150 B CN 104378150B CN 201410593990 A CN201410593990 A CN 201410593990A CN 104378150 B CN104378150 B CN 104378150B
- Authority
- CN
- China
- Prior art keywords
- mrow
- mfrac
- msup
- msub
- msubsup
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Classifications
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/241—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Mobile Radio Communication Systems (AREA)
- Radio Transmission System (AREA)
Abstract
The present invention relates to the power distribution method that error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas, the asymptotic SER performances per sub-channels high s/n ratio section are analyzed first, then channel statistical information optimized power distribution of each spaced antenna port based on all of the port.Pass through the instantaneous received signal to noise ratio of base station ZF receivers, use the SER functions of q qam modes, the SER major events for it is expected to extract high s/n ratio section are asked to its multipath fading stochastic variable first based on Multivariable Statistical Methods, then the stochastic variable that declined to large scale in major event and Q functions seek the SER Asymptotic Expressions for it is expected to obtain high s/n ratio section, the average SER Optimality Criterias of minimum and all of the port channel statistical information are finally based on, optimizes through excess convexity and calculates acquisition optimized power distribution coefficient.The present invention obtains optimal power partition coefficient merely with the statistic channel information of channel, systematic function can be obviously improved with relatively low overhead, so as to improve the feasibility of the method in actual applications.
Description
Technical field
The present invention relates to the antenna power distribution method of communication technical field, specifically distributed multi-antenna
The power of error sign ratio is minimized in (Distribute Multiple Input Multiple Output, D-MIMO) system
Distribution method.
Background technology
Because there is MIMO Signal with Distributed Transmit Antennas open structure and more flexible resource distribution feature, D-MIMO systems to exist
Important role is play in mobile communication.In recent years, the message transmission rate of communication system requirements high speed so that in D-MIMO
The many research work of the development of system regions.The characteristics of MIMO Signal with Distributed Transmit Antennas is the prevention at radio-frequency port for configuring more antennas, point
For cloth in a cell in each different region, it is (such as cloudy that each port undergoes different path loss and large scale decline
Shadow decline) influence, this to Theoretical Analysis of The Performance and optimization power bring certain difficulty.
In conventional art, if each port can obtain the complete channel information of all of the port, joint precoding skill is used
Art can increase substantially systematic function, but can greatly increase the overhead of feedback link, particularly when antenna number increase to
During extensive mimo system, white elephant can be brought to feedback link；And the space-time of any channel information is not utilized to compile completely
Code technology and constant power allocative decision are then difficult to effectively improve systematic function.
The content of the invention
(1) to solve the problems, such as
The technical problem to be solved in the present invention is minimizing the work(of error sign ratio in a kind of MIMO Signal with Distributed Transmit Antennas is provided
Rate distribution method, different distributed ports carry out antenna power distribution in the cell covered to same base station, existing to solve
The problem of with the presence of technology.
(2) technical scheme
In order to solve the above technical problems, the present invention uses following technical scheme：
The power distribution method of error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas, is comprised the following steps：
S1：Base station end obtains the compound channel information of all spaced antenna ports, including small yardstick by channel estimation
Decline, launch correlation matrix, large scale decline；
S2：Each spaced antenna port obtains the channel statistical information of all of the port by base station feedback link, including
Multipath fading probability density distribution, correlation matrix, large scale fading probability Density Distribution and path loss coefficient；
S3：According to instantaneous received signal to noise ratio of the base station ZF receivers per sub-channels, the SER of q-QAM modulation systems is obtained
Function expression, expectation is asked its multipath fading stochastic variable to extract high s/n ratio section first based on multivariate statistics theory
SER major events；
S4：The asymptotic tables of SER for it is expected to obtain high s/n ratio section are asked to large scale decline stochastic variable and Q functions in major event
Up to formula；
S5：Based on the single order and second-order channel statistics information for minimizing average SER Optimality Criterias and all of the port, Mei Gefen
Cloth antenna port optimizes to calculate through excess convexity obtains optimized power distribution coefficient.
To a single cell MIMO Signal with Distributed Transmit Antennas, base station end antenna number is N, and K user of different distance matches somebody with somebody in cell
Standby M antenna, K user send data to base station simultaneously, and base station end uses ZF receiver reception signals, and its expression formula is：Y=
Ts+n, T=ZRTΞ, wherein, channel T is Composite Fading Channels, and s is transmitting modulated signal, and n is complex-valued Gaussian noise, and y is base station
The reception signal at end, including multipath fading H=ZRTIn Z, obey plural rayleigh distributed independent same distribution CN (0,1), H is
The product of multipath fading and transmitting correlation matrix；Channel transmitting correlation matrix is RT=diag (RT1, RT2, L, RTK),ρk∈ [0,1), RTKLaunch correlation matrix, ρ for k-th of userkFor the coefficient correlation of k-th of user；Large scale
Decline Ξ, obeys logarithm normal distribution：Its
In,Represent the path loss of k-th of user, v is path loss coefficient, stochastic variable ΞkObey logarithm normal distribution：Wherein, μk,δkFor its average and variance, η=10/ln 10.
The instantaneous received signal to noise ratio of ZF receivers isWherein, SNR is averaged for system
Signal to noise ratio,Use the SER error probabilities of square q-QAM modulation systems
Function：
Wherein, q is the system number of q-QAM modulation；Use Multivariable Statistical Methods
EH,Ξ[SER (H, Ξ)]=EΞ[EH[SER (H, Ξ) | Ξ]], markFirst to small
Yardstick decline takes expectation：When SNR tends to infinity,The major event of extractable high s/n ratioObtain：
According to
Obtain SER Asymptotic Expressions：Wherein,
It is determined that every sub-channels SER Asymptotic Expression functions of each user are convex functions, based on minimum weighted average approach
SER Optimality CriteriasWith the single order and second-order channel statistics information of all of the port, each
Spaced antenna port optimizes to calculate through excess convexity obtains optimized power distribution coefficient：
Middle subscriptRepresent βkm'sPower, it is exactly to βkmExponentiation, be exactly to β hereinkmOpen N-KM+2 times
Side.
(3) beneficial effect
For the ZF receivers of MIMO Signal with Distributed Transmit Antennas, antenna power distribution method of the invention using multivariate statistics,
The methods of major event extraction and convex optimization, obtains the power partition coefficient of every antenna, to minimize the weighted average approach erratum number of system
Rate.The present invention does not need complete channel information in originator, and optimal power is obtained merely with the statistic channel information of channel
Allocative decision minimizes average error sign ratio, in the case where transmission general power is constant, is obviously improved with relatively low overhead
Systematic function, so as to improving the feasibility of the method in actual applications.
Brief description of the drawings
Fig. 1 is the workflow diagram of the present invention.
The MIMO Signal with Distributed Transmit Antennas that Fig. 2 is the present invention transmits schematic diagram.
Fig. 3 is the average SER performance comparison figures of system of the power allocation scheme and conventional power allocative decision of the present invention.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and detailed description.
Systematic function is effectively improved under the premise of overhead is not increased considerably, and is advantageous in systems in practice should
With a kind of power allocation scheme based on channel statistical information of proposition.Referring to Fig. 1 and Fig. 2, the present invention provides a kind of distributed
The power distribution method of error sign ratio (SER) is minimized in mimo system, is comprised the following steps：
S1：Base station end obtains the compound channel information of all spaced antenna ports, including small yardstick by channel estimation
Decline, channel transmitting correlation matrix, large scale decline etc..
1st, to a single cell MIMO Signal with Distributed Transmit Antennas, base station end antenna number is N, K user of different distance in cell
M antenna is equipped with, K user sends data to base station simultaneously, and base station end uses ZF receiver reception signals, and its expression formula is：y
=Ts+n, T=ZRTΞ, wherein, channel T is Composite Fading Channels, and s is transmitting modulated signal, and n is complex-valued Gaussian noise, and y is base
Stand the reception signal at end, including multipath fading H=ZRTIn Z, obey plural rayleigh distributed independent same distribution CN (0,1), H
For the product of multipath fading and transmitting correlation matrix；Channel transmitting correlation matrix is RT=diag (RT1, RT2, L, RTK),ρk∈ [0,1), RTKLaunch correlation matrix, ρ for k-th of userkFor the coefficient correlation of k-th of user；Large scale
Decline Ξ, obeys logarithm normal distribution：Its
In,Represent the path loss of k-th of user, v is path loss coefficient, stochastic variable ΞkObey logarithm normal distribution：Wherein, μk,δkFor its average and variance, η=10/ln10.
S2：Each spaced antenna port obtains the channel statistical information of all of the port, channel by base station feedback link
Single order and second-order statisticses information include：The plural rayleigh distributed that multipath fading Z is obeyed, transmitting correlation matrix RT, big chi
Spend the probability density distribution f (ε of declinek) and apart from path loss coefficientDeng.
S3：According to instantaneous received signal to noise ratio of the base station ZF receivers per sub-channels, the SER of q-QAM modulation systems is obtained
Function expression, its multipath fading stochastic variable is asked based on multivariate statistics theory and it is expected to extract high s/n ratio section
SER major events.
Reception signal y reverts to multiple parallel independent data flows after ZF (ZF) receives detectionWherein, G=(THT)-1THFor zero-forcing detector device.
The instantaneous received signal to noise ratio of ZF receivers isWherein, SNR is averaged for system
Signal to noise ratio,
Use the SER error probability functions of square q-QAM modulation systems：
Wherein, q is the system number of q-QAM modulation,
Use Multivariable Statistical Methods EH,Ξ[SER (H, Ξ)]=EΞ[EH[SER (H, Ξ) | Ξ]], markExpectation is taken to multipath fading first：Work as SNR
When tending to infinity,The major event of extractable high s/n ratioObtain：
S4：Large scale decline stochastic variable and Q functions in above major event are asked and it is expected the SER for obtaining high s/n ratio section gradually
Nearly expression formula.
According to
Obtain SER Asymptotic Expressions：Wherein,
S5：Based on minimum weighted average approach SER Optimality Criterias：And all of the port
Single order and second-order channel statistics information, each spaced antenna port through excess convexity optimize calculate obtain optimized power distribution system
Number： Middle subscriptRepresent βkm'sPower, it is exactly to βkmExponentiation fortune
Calculate, be exactly to β hereinkmOpen N-KM+2 powers.
The present invention, which proposes each port in a kind of MIMO Signal with Distributed Transmit Antennas and undergoes small yardstick and large scale compound channel, to decline
In the case of falling, each port signal passes through square quadrature amplitude modulation (Quadrature Amplitude Modulation, QAM)
Afterwards, receiving terminal base station carries out the up-line system that ZF (ZF) receives detection, accurate as optimization to minimize weighted average approach SER
Then, start and a kind of optimal power distribution method is proposed based on channel statistical information, in the case where transmission general power is constant, with
Relatively low overhead significantly improves systematic function.
The present invention does not need complete channel information in originator, is obtained merely with the slow fading statistic channel information of channel
Optimal power allocation scheme minimizes average error sign ratio, can be with relatively low system in the case where transmission general power is constant
Expense is obviously improved systematic function, so as to improve the feasibility of the method in actual applications.This programme considers more to meet reality
The characteristic of channel of border scene channel fading, each port experience compound channel decline, including multipath fading, launch correlation,
Large scale declines and path loss coefficient, receiving terminal use zero-forcing detector (ZF), with the minimum mesh of the asymptotic average error sign ratio of system
Scalar functions, originator only need the statistical information of channel, optimize transmitting terminal power partition coefficient, to have reached raising system compared with low overhead
The effect for performance of uniting.
Traditional antenna power allocative decision is the every antenna constant power distribution of each port, and the antenna work(of the present invention
Rate allocative decision is that the power that the m root antennas of k-th of user are distributed is：
Wherein
N is base station reception antenna number, and K is port number, and M is user's transmission antenna number, DkIt is k-th of user and base
The distance stood, v are path loss coefficients.μk, δkBe respectively for k-th user undergo large scale decline logarithm normal distribution expectation and
Variance,In addition
RT=diag (RT1, RT2, L, RTK),ρk∈[0,1)。
SER average behavior comparison diagrams shown in Figure 3, a kind of MIMO Signal with Distributed Transmit Antennas configuration are arranged to antenna for base station number
For 10, there are 4 spaced antenna ports for being in different distance, distance is respectively：0.5km, 1km, 1.5km, 2km, path loss system
Number is 4, and the average of logarithm normal distribution and variance are respectively 4 and 2 in large scale decline shadow effect, and each port configures 2
Antenna, using 16QAM modulation systems, receiving terminal receives detection using ZF；The present invention will be used to carry power allocation scheme and biography
The power allocation scheme performance of system is contrasted, from Fig. 3, it is apparent that being respectively 0.3 and 0.9 in transmitting coefficient correlation
In the case of, 2~3 db are improved in average error sign ratio (SER) performance of same high s/n ratio Interval System, systematic function obtains
To significantly improving.
Claims (5)
1. the power distribution method of error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas, it is characterised in that including following step
Suddenly：
S1：Base station end obtains the compound channel information of all spaced antenna ports, including multipath fading by channel estimation,
Launch correlation matrix, large scale decline；
S2：Each spaced antenna port obtains the channel statistical information of all of the port, including small chi by base station feedback link
Spend fading probability Density Distribution, correlation matrix, large scale fading probability Density Distribution and path loss coefficient；
S3：According to instantaneous received signal to noise ratio of the base station ZF receivers per sub-channels, the SER functions of q-QAM modulation systems are obtained
Expression formula, its multipath fading stochastic variable is asked first based on multivariate statistics theory and it is expected to extract high s/n ratio section
SER major events；
S4：The asymptotic expression of SER for it is expected to obtain high s/n ratio section is asked to large scale decline stochastic variable and Q functions in major event
Formula；
S5：It is each distributed based on the single order and second-order channel statistics information for minimizing average SER Optimality Criterias and all of the port
Antenna port optimizes to calculate through excess convexity obtains optimized power distribution coefficient.
2. the power distribution method of error sign ratio, its feature are minimized in MIMO Signal with Distributed Transmit Antennas according to claim 1
It is：To a single cell MIMO Signal with Distributed Transmit Antennas, base station end antenna number is N, and K user of different distance is equipped with M in cell
Individual antenna, K user send data to base station simultaneously, and base station end uses ZF receiver reception signals, and its expression formula is：Y=Ts+
N, T=ZRTΞ, wherein, channel T is Composite Fading Channels, and s is transmitting modulated signal, and n is complex-valued Gaussian noise, and y is base station end
Reception signal, including multipath fading H=ZRTIn Z, obey plural rayleigh distributed independent same distributionH is small chi
Degree decline and the product of transmitting correlation matrix；Channel transmitting correlation matrix is RT=diag (RT1, RT2, L, RTK),ρk∈ [0,1), RTKLaunch correlation matrix, ρ for k-th of userkFor the coefficient correlation of k-th of user；Large scale
Decline Ξ, obeys logarithm normal distribution：Its
In,Represent the path loss of k-th of user, v is path loss coefficient, stochastic variable ΞkObey logarithm normal distribution：εk＞ 0, wherein, μk,δkFor its average and variance, η=10/ln10.
3. the power distribution method of error sign ratio, its feature are minimized in MIMO Signal with Distributed Transmit Antennas according to claim 2
It is：The instantaneous received signal to noise ratio of ZF receivers isWherein, SNR is that system is averagely believed
Make an uproar and compare, ΞKm, kmRepresent m element of kth on large scale fading matrix Ξ diagonal, PKm, kmRepresent power distribution diagonal of a matrix
On m element of kth,Use the SER of square q-QAM modulation systems
Error probability function：
<mrow>
<msub>
<mi>SER</mi>
<mrow>
<mi>k</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>=</mo>
<mn>4</mn>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mfrac>
<mn>1</mn>
<msqrt>
<mi>q</mi>
</msqrt>
</mfrac>
<mo>)</mo>
</mrow>
<mi>Q</mi>
<mrow>
<mo>(</mo>
<mi>d</mi>
<msqrt>
<mfrac>
<msub>
<mi>&gamma;</mi>
<mrow>
<mi>k</mi>
<mi>m</mi>
</mrow>
</msub>
<mn>2</mn>
</mfrac>
</msqrt>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mn>4</mn>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mfrac>
<mn>1</mn>
<msqrt>
<mi>q</mi>
</msqrt>
</mfrac>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<msup>
<mi>Q</mi>
<mn>2</mn>
</msup>
<mrow>
<mo>(</mo>
<mi>d</mi>
<msqrt>
<mfrac>
<msub>
<mi>&gamma;</mi>
<mrow>
<mi>k</mi>
<mi>m</mi>
</mrow>
</msub>
<mn>2</mn>
</mfrac>
</msqrt>
<mo>)</mo>
</mrow>
<mo>,</mo>
<mi>d</mi>
<mo>=</mo>
<msqrt>
<mfrac>
<mn>3</mn>
<mrow>
<mn>2</mn>
<mrow>
<mo>(</mo>
<mi>q</mi>
<mo>-</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
</msqrt>
</mrow>
<mrow>
<mi>Q</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mi>&pi;</mi>
</mfrac>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<mfrac>
<mi>&pi;</mi>
<mn>2</mn>
</mfrac>
</msubsup>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msup>
<mi>t</mi>
<mn>2</mn>
</msup>
<mrow>
<mn>2</mn>
<msup>
<mi>sin</mi>
<mn>2</mn>
</msup>
<mi>&theta;</mi>
</mrow>
</mfrac>
</mrow>
</msup>
<mi>d</mi>
<mi>&theta;</mi>
<mo>,</mo>
<msup>
<mi>Q</mi>
<mn>2</mn>
</msup>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mi>&pi;</mi>
</mfrac>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<mfrac>
<mi>&pi;</mi>
<mn>4</mn>
</mfrac>
</msubsup>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mfrac>
<msup>
<mi>t</mi>
<mn>2</mn>
</msup>
<mrow>
<mn>2</mn>
<msup>
<mi>sin</mi>
<mn>2</mn>
</msup>
<mi>&theta;</mi>
</mrow>
</mfrac>
</mrow>
</msup>
<mi>d</mi>
<mi>&theta;</mi>
<mo>,</mo>
</mrow>
Wherein, q is the system number of q-QAM modulation,Use Multivariable Statistical Methods EH,Ξ[SER (H, Ξ)]=
EΞ[EH[SER (H, Ξ) | Ξ]], markExpectation is taken to multipath fading first：When SNR tends to infinity,
The major event of extractable high s/n ratioObtain：
<mrow>
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>E</mi>
<mi>H</mi>
</msub>
<msup>
<mrow>
<mo>&lsqb;</mo>
<msub>
<mi>SER</mi>
<mrow>
<mi>k</mi>
<mi>m</mi>
</mrow>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mi>&infin;</mi>
</msup>
<mo>=</mo>
<msub>
<mi>A</mi>
<mn>1</mn>
</msub>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<mfrac>
<mi>&pi;</mi>
<mn>2</mn>
</mfrac>
</msubsup>
<mfrac>
<mn>1</mn>
<msubsup>
<mi>C</mi>
<mrow>
<mi>k</mi>
<mi>m</mi>
</mrow>
<mrow>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
</mfrac>
<mi>d</mi>
<mi>&theta;</mi>
<mo>-</mo>
<msub>
<mi>A</mi>
<mn>2</mn>
</msub>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<mfrac>
<mi>&pi;</mi>
<mn>4</mn>
</mfrac>
</msubsup>
<mfrac>
<mn>1</mn>
<msubsup>
<mi>C</mi>
<mrow>
<mi>k</mi>
<mi>m</mi>
</mrow>
<mrow>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
</mfrac>
<mi>d</mi>
<mi>&theta;</mi>
<mo>,</mo>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>A</mi>
<mn>1</mn>
</msub>
<mo>=</mo>
<mfrac>
<mn>4</mn>
<mi>&pi;</mi>
</mfrac>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mfrac>
<mn>1</mn>
<msqrt>
<mi>q</mi>
</msqrt>
</mfrac>
<mo>)</mo>
</mrow>
<mo>,</mo>
<msub>
<mi>A</mi>
<mn>2</mn>
</msub>
<mo>=</mo>
<mfrac>
<mn>4</mn>
<mi>&pi;</mi>
</mfrac>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mfrac>
<mn>1</mn>
<msqrt>
<mi>q</mi>
</msqrt>
</mfrac>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mtd>
</mtr>
</mtable>
<mo>.</mo>
</mrow>
4. the power distribution method of error sign ratio, its feature are minimized in MIMO Signal with Distributed Transmit Antennas according to claim 3
It is：According to
<mrow>
<mi>E</mi>
<mo>&lsqb;</mo>
<mfrac>
<mn>1</mn>
<msubsup>
<mi>&epsiv;</mi>
<mi>k</mi>
<mrow>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msubsup>
</mfrac>
<mo>&rsqb;</mo>
<mo>=</mo>
<msup>
<mi>e</mi>
<mfrac>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<msubsup>
<mi>&delta;</mi>
<mi>k</mi>
<mn>2</mn>
</msubsup>
<mo>-</mo>
<mn>2</mn>
<mi>&eta;</mi>
<mrow>
<mo>(</mo>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
<msub>
<mi>&mu;</mi>
<mi>k</mi>
</msub>
</mrow>
<mrow>
<mn>2</mn>
<msup>
<mi>&eta;</mi>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
</msup>
<mo>=</mo>
<msub>
<mover>
<mi>&epsiv;</mi>
<mo>&OverBar;</mo>
</mover>
<mi>k</mi>
</msub>
</mrow>
<mrow>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<mfrac>
<mi>&pi;</mi>
<mn>2</mn>
</mfrac>
</msubsup>
<msup>
<mrow>
<mo>(</mo>
<msup>
<mi>sin</mi>
<mn>2</mn>
</msup>
<mi>&theta;</mi>
<mo>)</mo>
</mrow>
<mrow>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msup>
<mi>d</mi>
<mi>&theta;</mi>
<mo>=</mo>
<mfrac>
<mi>&pi;</mi>
<mn>2</mn>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mrow>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</munderover>
<mfrac>
<mrow>
<mn>2</mn>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
<mrow>
<mn>2</mn>
<mi>k</mi>
</mrow>
</mfrac>
<mo>=</mo>
<msub>
<mi>B</mi>
<mn>1</mn>
</msub>
</mrow>
<mrow>
<msubsup>
<mo>&Integral;</mo>
<mn>0</mn>
<mfrac>
<mi>&pi;</mi>
<mn>4</mn>
</mfrac>
</msubsup>
<msup>
<mrow>
<mo>(</mo>
<msup>
<mi>sin</mi>
<mn>2</mn>
</msup>
<mi>&theta;</mi>
<mo>)</mo>
</mrow>
<mrow>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msup>
<mi>d</mi>
<mi>&theta;</mi>
<mo>=</mo>
<mfrac>
<mi>&pi;</mi>
<mn>4</mn>
</mfrac>
<munderover>
<mo>&Pi;</mo>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mrow>
<mi>N</mi>
<mo>-</mo>
<mi>K</mi>
<mi>M</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</munderover>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>k</mi>
</munderover>
<mfrac>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mi>k</mi>
<mo>)</mo>
<mo>!</mo>
<mo>!</mo>
<mo>(</mo>
<mi>j</mi>
<mo>-</mo>
<mn>1</mn>
<mo>)</mo>
<mo>!</mo>
<mo>!</mo>
</mrow>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
<mo>)</mo>
<mo>!</mo>
<mo>!</mo>
<mi>j</mi>
<mo>!</mo>
<mo>!</mo>
</mrow>
</mfrac>
<msup>
<mrow>
<mo>(</mo>
<mfrac>
<mn>1</mn>
<msqrt>
<mn>2</mn>
</msqrt>
</mfrac>
<mo>)</mo>
</mrow>
<mrow>
<mn>2</mn>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>-</mo>
<mi>j</mi>
<mo>+</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
</msup>
<mo>=</mo>
<msub>
<mi>B</mi>
<mn>2</mn>
</msub>
</mrow>
Obtain SER Asymptotic Expressions：Wherein,
5. the power distribution method of error sign ratio, its feature are minimized in MIMO Signal with Distributed Transmit Antennas according to claim 4
It is：It is determined that every sub-channels SER Asymptotic Expression functions of each user are convex functions, based on minimum weighted average approach SER
Optimality CriteriaWith the single order and second-order channel statistics information of all of the port, each distribution
Formula antenna port optimizes to calculate through excess convexity obtains optimized power distribution coefficient： In on
MarkRepresent βkm'sPower.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410593990.4A CN104378150B (en) | 2014-10-29 | 2014-10-29 | The power distribution method of error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410593990.4A CN104378150B (en) | 2014-10-29 | 2014-10-29 | The power distribution method of error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104378150A CN104378150A (en) | 2015-02-25 |
| CN104378150B true CN104378150B (en) | 2018-02-02 |
Family
ID=52556839
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410593990.4A Expired - Fee Related CN104378150B (en) | 2014-10-29 | 2014-10-29 | The power distribution method of error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104378150B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105897318B (en) * | 2016-04-01 | 2018-11-06 | 浙江大学 | The self-adaptive modulation method of the extensive mimo system of multi-user based on ZF receivers |
| CN106656288B (en) * | 2016-12-29 | 2020-08-11 | 电子科技大学 | Optimal power distribution method among pilot frequency data based on lowering upper bound of average bit error rate |
| CN106998222A (en) * | 2017-03-08 | 2017-08-01 | 南京航空航天大学 | The power distribution method of high energy efficiency in a kind of distributing antenna system |
| CN109041277B (en) * | 2018-08-16 | 2021-04-02 | 广西师范大学 | Low-complexity EH distributed base station system energy sharing and power distribution method |
| CN109890075B (en) * | 2019-03-29 | 2020-08-25 | 中南大学 | Method and system for inhibiting pilot pollution of large-scale MIMO system |
| CN111342881B (en) * | 2020-02-05 | 2021-06-29 | 北京邮电大学 | Method and system for carrying out relay auxiliary transmission based on unmanned aerial vehicle |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6219342B1 (en) * | 1998-03-31 | 2001-04-17 | Lucent Technologies Inc. | Non-adaptive symbol error count based algorithm for CDMA reverse link outer loop power control |
| EP1128754A1 (en) * | 1998-11-13 | 2001-09-05 | Van de Pol-Klein Nagelvoort, Henriette Hermine Titia | Leak-free drinking beaker |
| CN102075223A (en) * | 2011-01-30 | 2011-05-25 | 中兴通讯股份有限公司 | Position arrangement method for transmitting antenna of distributed antenna system |
| CN102625431A (en) * | 2012-03-07 | 2012-08-01 | 上海交通大学 | Adaptive M-QAM (M-ary quadrature amplitude modulation) method for joint power allocation based on DF(Decode-Forward) relay protocol |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100842619B1 (en) * | 2006-11-22 | 2008-06-30 | 삼성전자주식회사 | Symbol error rate based power allocation scheme for combined orthogonal space time block codes and beam forming in distributed wireless communication system |
| KR100842620B1 (en) * | 2007-01-25 | 2008-06-30 | 삼성전자주식회사 | Symbol error rate based power allocation scheme for orthogonal space time block codes in distributed wireless communication system |
-
2014
- 2014-10-29 CN CN201410593990.4A patent/CN104378150B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6219342B1 (en) * | 1998-03-31 | 2001-04-17 | Lucent Technologies Inc. | Non-adaptive symbol error count based algorithm for CDMA reverse link outer loop power control |
| EP1128754A1 (en) * | 1998-11-13 | 2001-09-05 | Van de Pol-Klein Nagelvoort, Henriette Hermine Titia | Leak-free drinking beaker |
| CN102075223A (en) * | 2011-01-30 | 2011-05-25 | 中兴通讯股份有限公司 | Position arrangement method for transmitting antenna of distributed antenna system |
| CN102625431A (en) * | 2012-03-07 | 2012-08-01 | 上海交通大学 | Adaptive M-QAM (M-ary quadrature amplitude modulation) method for joint power allocation based on DF(Decode-Forward) relay protocol |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104378150A (en) | 2015-02-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104378150B (en) | The power distribution method of error sign ratio is minimized in a kind of MIMO Signal with Distributed Transmit Antennas | |
| CN103546264B (en) | Extensive mimo wireless communication method based on pilot frequency multiplexing | |
| CN104617996B (en) | The Precoding Design method of minimum signal to noise ratio is maximized in extensive mimo system | |
| CN103117970B (en) | The system of selection of full-duplex antenna in mimo system | |
| CN110855335B (en) | Downlink virtual MIMO-NOMA method based on power and rate joint optimization | |
| CN103997394A (en) | Multi-cell coordination large-scale MIMO pilot frequency multiplexing transmission method | |
| CN101867462A (en) | Multi-base station cooperation linear precoding method based on minimum total bit error rate | |
| CN102714506B (en) | System and method for transceivers in a wireless network | |
| CN102882570B (en) | Optimum transceiving combined processing method for communication among equipment in mobile communication network | |
| CN105515625B (en) | Multiuser downstream transmission method based on receiving end spatial modulation | |
| CN102291842B (en) | Virtual MIMO pairing method taking user QoS into account | |
| CN103249124B (en) | Dense distribution formula wireless communications method and system thereof | |
| CN102347820A (en) | Joint coding and decoding method of multi-cell cooperation wireless communication system | |
| Almamori et al. | Estimation of channel state information for massive MIMO based on received data using Kalman filter | |
| CN107896125A (en) | A kind of safe transmission method of physical layer of full dimension multiple antennas SWIPT systems | |
| CN105940625A (en) | Base station device, wireless communication system, and communication method | |
| CN104168659A (en) | Multi-cell MIMO system user scheduling method under MRT pre-coding strategy | |
| CN101969328B (en) | Beam arrival angle-based multiuser scheduling scheme | |
| CN106131855A (en) | The method for channel allocation of virtual subdistrict in a kind of 5G high density network | |
| CN106131966B (en) | User scheduling method based on dense distribution formula wireless network dynamic clustering | |
| CN101989869B (en) | Joint pre-coding and power control method for multi-antenna cellular network | |
| CN101483467B (en) | Method for MIMO multiple access channel throughput maximization | |
| CN102629895A (en) | Multicast unitary precoding method for improving fairness between data streams | |
| CN102468876B (en) | Distributed antenna system and power distribution method thereof | |
| CN104010372A (en) | Large-scale MU-MISO system low-complexity user scheduling method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180202 Termination date: 20191029 |