WO2014101691A1

WO2014101691A1 - System power distribution method and device

Info

Publication number: WO2014101691A1
Application number: PCT/CN2013/089767
Authority: WO
Inventors: 孙德福
Original assignee: 华为技术有限公司
Priority date: 2012-12-27
Filing date: 2013-12-18
Publication date: 2014-07-03
Also published as: CN103905162A; CN103905162B

Abstract

The present invention relates to the field of communications. Provided in an embodiment of the present invention are a system power distribution method and device, capable of optimizing power allocation in a MIMO system where a single code word is mapped to multiple layers, so as to maximize system throughput. The method comprises: obtaining a fitting function according to a functional relationship between the signal-to-noise ratio (SNR) or signal-to-interference-noise ratio (SINR) of each data layer of the system and the spectral efficiency of the data layer; obtaining the sum of the spectral efficiencies of the system according to the fitting function; and obtaining a functional relationship between the total transmission power and the SNR or SINR of each data layer according to the functional relationship between the SNR or SINR of each data layer and the transmission power of the data layer and the functional relationship between the transmission power of each code word in the system and the total transmission power of the system; further, when the sum of the spectral efficiencies reaches the maximum, obtaining the SNR or SINR of each data layer, and obtaining the transmission power of each data layer according to the SNR or SINR of each data layer. The embodiment of the present invention is used for system power distribution.

Description

The present invention claims the priority of a Chinese patent application filed on December 27, 2012 by the Chinese Patent Office, Application No. 201210576685.5, entitled "System Power Distribution Method and Apparatus", The entire contents are incorporated herein by reference. TECHNICAL FIELD The present invention relates to the field of wireless communication technologies, and in particular, to a system power allocation method and device.

BACKGROUND A MIMO (Multiple Input/Multiple Output) system is a technology application in which multiple transmitting antennas simultaneously transmit multiple data layers on the same time and frequency resources, and the receiving end uses multiple antennas to simultaneously receive. It can effectively improve the spectrum utilization and system capacity, making space a resource that can be used to improve performance and increase the coverage of wireless systems. The MIMO technology utilizes multiple transmit and receive antennas at the transmitting end and the receiving end to obtain spatial multiplexing gain and spatial diversity gain to improve data transmission rate and reduce bit error rate.

In existing MIMO systems, the power of each data layer can be adjusted to achieve maximum system capacity under conditions of limited total transmit power. At present, the MIMO system power allocation method mainly uses the theoretical capacity maximization as the objective function to solve the power allocation value. For example, based on the inter-layer water injection power allocation method, the basic principle is to control the transmission power according to the channel condition, and the channel condition is good. The subchannels allocate more power, and the subchannels with poor channel conditions allocate less power, that is, the larger the channel gain, the higher the signal to noise ratio of the layer can allocate more power.

The above power allocation method enables codeword to layer-mapped MIMO systems to increase system capacity. However, in a MIMO system with single codeword to multi-layer mapping, the theoretical capacity maximization does not represent the maximum throughput of the actual system. The actual throughput of the system is determined by the spectral efficiency of the codeword, while the spectral efficiency of the codeword is mainly Depending on the SNR or SINR in the codeword (Signal to Noise Ratio or Signal to Interference plus Noise Ratio, corresponding data layer, if the power allocation method based on inter-layer water injection is used, the SNR or SINR value in a single code word becomes larger, the lowest The SNR or SINR value is further reduced, and the MCS (Modulation and Coding Scheme) of the codeword is reduced, so that the spectral efficiency of the codeword is lowered, and the actual throughput of the system is decreased. Therefore, the method based on inter-layer water injection power allocation is not applicable to the single-code-to-multilayer mapping system.

SUMMARY OF THE INVENTION Embodiments of the present invention provide a system power allocation method and apparatus capable of optimizing system power allocation in a single code word to multi-layer mapping system to maximize system throughput.

In order to achieve the above object, the embodiment of the present invention adopts the following technical solutions:

In a first aspect, a system power allocation method is provided, including:

Obtaining a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and acquiring a spectrum of the system according to a fitting function of each data layer The sum of efficiency;

Obtaining the function of the signal-to-noise ratio or the signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, the transmit power of each codeword in the system, and the total transmit power of the system. The total transmit power of the system is a function of the signal to noise ratio or the signal to interference and noise ratio of the respective data layers;

Obtaining a signal-to-noise ratio or a signal of each data layer when the total spectral efficiency of the system is the largest, according to a relationship between a total transmit power of the system and a signal-to-noise ratio or a signal-to-interference ratio of the data layers. Noise ratio

Acquiring the transmit power of each data layer according to the signal to noise ratio or the signal to interference and noise ratio of each data layer in a first possible implementation manner. In combination with the first aspect, when there are two code words in the system, Obtaining a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and according to the data The sum of the spectral efficiencies of the layer's fitting function acquisition system includes:

Obtaining a fitting coefficient of a fitting function of each data layer according to a logarithmic relationship between a signal-to-noise ratio or a signal-to-noise ratio of each data layer and a spectral efficiency of the data layer, and according to the data layer Combining coefficients to obtain a fitting function of each of the data layers;

Mapping the 1st to mth data layers in the system to the first codeword, mapping the m+1th to kth data layers in the system to the second codeword, wherein belonging to the same codeword The signal-to-noise ratio or signal to interference and noise ratio of all data layers is equal;

Obtaining, according to a fitting function of each data layer, a spectral efficiency of the first codeword and a spectral efficiency in the second codeword;

The spectral efficiency of the first codeword is summed with the spectral efficiency of the second codeword to obtain a spectral efficiency sum of the system.

In a second possible implementation manner, in combination with the first aspect or the first possible implementation manner of the first aspect, the signal-to-noise ratio or the signal-to-noise ratio according to the data layers and the data layer itself are transmitted. a function of power, a function of the transmit power of each codeword in the system as a function of the total transmit power of the system, and a function of obtaining a total transmit power of the system and a signal to noise ratio or a signal to interference and noise ratio of the data layers Relationships include:

If the signal to noise ratio or the signal to interference and noise ratio of all data layers in the same codeword are equal, the signal to noise ratio or the signal to interference and noise ratio of each data layer is obtained as a function of the data layer's own transmit power. Transmitting power of each data layer as a function of a transmit power of an nth data layer in the first codeword or a transmit power of a wth data layer in the second codeword; Obtaining, as a function of a transmit power of the nth data layer or a transmit power of the wth data layer, a function of a transmit power of each codeword in the system as a function of a total transmit power of the system;

Obtaining a function function of a signal-to-noise ratio or a signal-to-noise ratio of each data layer as a function of a transmit power of the data layer itself, and a function of a transmit power of each codeword in the system as a function of a total transmit power of the system The total transmit power of the system is a function of the signal to noise ratio or the signal to interference and noise ratio of the nth data layer and the signal to noise ratio or the signal to interference and noise ratio of the wth data layer.

In a third possible implementation manner, in combination with the first aspect or the second possible implementation manner of the first aspect, the signal-to-noise ratio or the signal-to-noise noise according to the total transmit power of the system and the data layers The functional relationship of the ratios, when the sum of the spectral efficiencies of the system is the largest, obtaining the signal-to-noise ratio or the signal-to-noise ratio of the data layers includes: According to the maximum value of the spectral efficiency sum of the system, and the total transmit power of the system as a function of the signal to noise ratio or the signal to interference and noise ratio of the nth data layer and the signal to noise ratio or the signal to interference and noise ratio of the wth data layer. And acquiring a signal to noise ratio or a signal to interference and noise ratio of the nth data layer and a signal to noise ratio or a signal to interference and noise ratio of the wth data layer.

In a fourth possible implementation manner, in combination with the first aspect or the third possible implementation manner of the first aspect, the acquiring, according to the signal to noise ratio or the signal to interference and noise ratio of each data layer, acquiring the data layers Power includes:

Obtaining a transmit power of the nth data layer according to a signal to noise ratio or a signal to interference and noise ratio of the nth data layer, and acquiring the wth data layer according to a signal to noise ratio or a signal to interference and noise ratio of the wth data layer Transmit power

Obtaining, according to the transmit power of the nth data layer or the transmit power of the wth data layer, the transmit work of all data layers except the nth data layer and the wth data layer is implemented in the fifth In a manner, combining the first aspect or the second possible implementation manner of the first aspect to the fourth possible implementation manner,

The fitting function includes:

y = axlog _t {b + x) + c , where x represents the signal-to-noise ratio or signal-to-interference ratio of the data layer, ; represents the spectral efficiency, a , b , c represent the data fitting coefficients, and t represents the fitting function The base of the logarithm;

In the case where the signal-to-noise ratio or the signal-to-interference ratio is equal in all data layers in the same codeword, when n is 1, w is k, the sum of the spectral efficiencies is expressed as:

^{ χ og _t (b + x _i )+c} = m[ax log _r (& + ₁ )+c]+(^ m\ax log _r (b + x _k ) + c] where {axk3⁄4( b + x _; .) + c} denotes the sum of the spectral efficiencies, represents the total number of data layers of the system, / indicates that the first codeword in the system contains the m data layer, and km represents the second code in the system Word contains - data layer,

+ xj+c] represents the spectral efficiency of the first codeword, and (k-m\ax log, (b + x _k ) + c] represents the spectral efficiency of the second codeword.

In a sixth possible implementation manner, combining the first aspect or the second possible implementation manner of the first aspect to the fourth possible implementation manner, including:

The signal-to-noise ratio or the signal-to-noise ratio of each data layer is expressed as a function of the data layer's own transmit power as: Wherein, represents the data layer signal to noise ratio or signal to interference and noise ratio, σ

The first layer shows the data corresponding to channel gain, _[alpha] denotes the transmit power of the data layer of the system, σ ² denotes noise power equivalent.;

In the case where the signal-to-noise ratio or the signal-to-interference ratio is equal in all the data layers in the same codeword, when η is 1, w is k, the transmission power of each data layer and the transmission of the nth data layer The power is expressed as a function of the transmit power of the wth data layer as:

■Ρι \<i<m

Ρι , where _A represents the transmit power of the data layer

Representing the channel gain of the first data layer, ^ indicating the channel gain of the first data layer, and ^ indicating the channel gain of the first data layer;

The function of the transmission power of each codeword in the system as a function of the total transmit power of the system is expressed as: /^„/ ₂ =/^, where _A represents the first data layer transmit power, / ^ denotes the The transmit power of the data layer, ^ represents the total transmit power of the system.

The total transmit power of the system is a function of the signal-to-noise ratio or signal-to-noise ratio of the first data layer and the signal-to-noise ratio or the signal-to-noise ratio of the kth data layer as:

Λ indicates the above

Channel gain corresponding to the i-th data layer.

In a seventh possible implementation manner, in combination with the first aspect or the third possible implementation manner of the first aspect or the fourth possible implementation manner, when n is l, w is k, including:

The noise ratio or signal to interference and noise ratio is expressed as:

The signal to noise ratio or the signal to interference and noise ratio of the wth data layer is expressed as:

Wherein, indicating a signal to noise ratio or a signal to interference and noise ratio of the first data layer, ^

k

W,

Unified launching work In an eighth possible implementation manner, in combination with the first aspect or the first possible implementation manner of the first aspect to the seventh possible implementation manner, when n is 1 and w is k, the method includes:

The transmit power of the nth data layer is expressed as:

The transmit power of the wth data layer is expressed as:

Pt b;

Wherein, _A indicates that the first data layer transmit power indicates: the transmit power of the data layer, indicating that the total transmit power of the system represents the channel gain of the 1 data layer, and 4 represents the channel gain of the first data layer, ^ denotes the channel gain of the data layer, σ ² denotes the equivalent noise power, and a, b, c denote the fitting coefficient.

In a second aspect, a power distribution device is provided, including:

a spectral efficiency and acquisition unit, configured to obtain a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and according to the data layer The merging function obtains the sum of the spectral efficiencies of the system;

a power and signal-to-noise ratio function relationship obtaining unit, configured to calculate, according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer, a function relationship between a data layer and a transmit power of the data layer, and a transmit power of each codeword in the system Calculating a function of the total transmit power of the system, and obtaining a function relationship between the total transmit power of the system and the signal to noise ratio or the signal to interference and noise ratio of the data layers;

a signal to noise ratio or signal to interference and noise ratio obtaining unit, configured to calculate, according to a total relationship between a total transmit power of the system and a signal to noise ratio or a signal to interference and noise ratio of each data layer, when the total spectral efficiency of the system is the largest, Obtaining a signal to noise ratio or a signal to interference and noise ratio of each data layer of the system;

a power acquisition unit, configured to acquire, according to a signal to noise ratio or a signal to interference and noise ratio of each data layer of the system, a transmit power of each data layer;

In a first possible implementation, in combination with the second aspect, when there are two codewords in the system, the spectral efficiency and acquisition unit includes:

a fitting function obtaining subunit, configured to obtain a fitting coefficient of a fitting function of each data layer according to a logarithmic relationship between a signal to noise ratio or a signal to interference and noise ratio of the data layers and a spectral efficiency of the data layer; And obtaining a fitting function of each data layer according to a fitting coefficient of each data layer; a codeword mapping subunit, configured to map the first to mth data layers in the system to the first codeword, and map the m+1th to kth data layers in the system to the second codeword, Wherein, the signal to noise ratio or the signal to interference and noise ratio of all data layers belonging to the same codeword are equal;

a spectral efficiency acquisition subunit, configured to acquire a spectral efficiency of the first codeword and a spectral efficiency in the second codeword according to a fitting function of the data layers;

A spectral efficiency and acquisition subunit is used to add the spectral efficiency of the first codeword to the sum of the spectral efficiencies of the second codeword to obtain a spectral efficiency sum of the system.

In a second possible implementation manner, in combination with the first aspect or the first possible implementation manner of the first aspect, the power and signal to noise ratio relationship acquiring unit is specifically configured to:

If the signal to noise ratio or the signal to interference and noise ratio of all data layers in the same codeword is equal, according to the relationship between the signal to noise ratio or the signal to interference and noise ratio of each data layer and the transmission power of the data layer itself, Obtaining, as a function of the transmit power of each data layer itself, the transmit power of the nth data layer in the first codeword or the transmit power of the wth data layer in the second codeword;

Obtaining a transmit power of each codeword in the system and a total transmit power of the system according to a relationship between a transmit power of each data layer and a transmit power of the nth data layer or a transmit power of the wth data layer. Functional relationship;

In a third possible implementation manner, in combination with the first aspect or the second possible implementation manner of the first aspect, the signal to noise ratio or the signal to interference and noise ratio acquisition unit is specifically configured to:

According to the maximum value of the spectral efficiency sum of the system, and the total transmit power of the system as a function of the signal to noise ratio or the signal to interference and noise ratio of the nth data layer and the signal to noise ratio or the signal to interference and noise ratio of the wth data layer. And acquiring a signal to noise ratio or a signal to interference and noise ratio of the nth data layer and a signal to noise ratio or a signal to interference and noise ratio of the wth data layer.

In a fourth possible implementation manner, in combination with the first aspect or the third possible implementation manner of the first aspect, the power acquiring unit is specifically configured to:

Obtaining a transmit power of the nth data layer according to a signal to noise ratio or a signal to interference and noise ratio of the nth data layer, and acquiring the wth according to a signal to noise ratio or a signal to interference and noise ratio of the wth data layer Transmit power of the data layer;

Obtaining, according to the transmit power of the nth data layer or the transmit power of the wth data layer, the transmit work of all data layers except the nth data layer and the wth data layer is implemented in the fifth In a manner, combining the first aspect or the second possible implementation manner of the first aspect to the fourth possible implementation manner, the fitting function includes:

y = axlog _t (b + x)+c , where x is the signal-to-noise ratio or signal-to-interference ratio of the data layer, j is the spectral efficiency, a ·> b ·> c is the data fitting coefficient, and t is the The base of the logarithm in the conjunction;

k

^{ χ log _r (b + _f ) + c} = m[ax log _r (b + x^+c] +{k -m ax log _t (b + x _k ) + c] where {"xlog, (6 + x _z .) + c} represents the sum of the spectral efficiencies, represents the total number of data layers of the system, / indicates that the first codeword in the system contains the m data layer, and km represents the second in the system. The code word contains a data layer, m^xlog^ + xj+c] represents the spectral efficiency of the first codeword, and - X log, (b + χ ) + c] represents the spectral efficiency of the second codeword.

The signal-to-noise ratio or the signal-to-noise ratio of each data layer is expressed as a function of the data layer's own transmit power as:

χ, =^ , where , , represents the data layer signal to noise ratio or signal to interference and noise ratio, Λ.

G

Showing the channel gain corresponding to the data layer, _A. indicating the transmit power of the data layer of the system, and σ ² indicating the equivalent noise power;

In the case where the signal-to-noise ratio or the signal-to-interference ratio is equal in all the data layers in the same codeword, when η is 1, w is k, the transmission power of each data layer and the transmission of the nth data layer The power is expressed as a function of the transmit power of the wth data layer as: where Α represents the transmit power of the ζ·data layer, A

Representing the channel gain of the first data layer, ^ indicating the channel gain of the first data layer, and ^ indicating the channel gain of the data layer;

a function of the transmit power of each codeword in the system and the total transmit power of the system The relationship is expressed as: /^„/ ₂ =/^, where _A represents the first data layer transmit work

/ ^ denotes the transmit power of the data layer, indicating the total transmit power of the system; the total transmit power of the system and the signal to noise ratio or signal to interference and noise ratio of the first data layer; and k the signal to noise ratio of the data layer or The functional relationship of the signal to interference and noise ratio is expressed as:

Λ. indicates the stated

Channel gain corresponding to the i-th data layer.

In a seventh possible implementation manner, in combination with the first aspect or the third possible implementation manner of the first aspect or the fifth possible implementation manner, when n is l, w is k, including:

The noise ratio or signal to interference and noise ratio is expressed as:

k

Total transmission power.

In an eighth possible implementation manner, in combination with the first aspect or the fourth possible implementation manner of the first aspect, when n is 1, w is k, including:

The transmit power of the nth data layer is expressed as:

The transmit power of the wth data layer is expressed as:

K-m

Pt =■ P _T +b—— w _l +b—— w _: b ;

Λ '

Wherein, _Α represents the first data layer transmit power, indicating the transmit power of the first data layer, ^ represents the total transmit power of the system, represents the channel gain of the first data layer, and ^ represents the first data layer. Channel gain, A represents the channel gain of the data layer, σ ² represents the equivalent noise power, and a, b, c represent the fit factor.

Embodiments of the present invention provide a system power allocation method and device, according to a system The signal-to-noise ratio or the signal-to-noise ratio of each data layer is obtained as a function of the spectral efficiency of the data layer to obtain a fitting function of each data layer, and the sum of the spectral efficiencies of the systems is obtained according to the fitting function of each data layer, and then according to each The signal-to-noise ratio or signal-to-noise ratio of the data layer is a function of the data layer's own transmit power, the transmit power of each codeword in the system as a function of the total transmit power of the system, and the total transmit power of the system and the data layer are obtained. The function of the noise ratio or the signal-to-noise ratio, further, according to the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer, when the sum of the spectral efficiencies of the system is the largest, the data layers are obtained. Signal-to-noise ratio or signal-to-noise ratio, and obtain the transmit power of each data layer according to the signal-to-noise ratio or the signal-to-noise ratio of each data layer, and realize power allocation optimization in a single codeword-to-multilayer mapping MIMO system. Maximize system throughput.

BRIEF DESCRIPTION OF THE DRAWINGS In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and obviously, in the following description The drawings are only some of the embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative work.

1 is a flowchart of a system power allocation method according to an embodiment of the present invention; FIG. 2 is a flowchart of a system power allocation method according to another embodiment of the present invention; FIG. 3 is a flowchart of another embodiment of the present invention. FIG. 4 is a schematic structural diagram of another power distribution device according to another embodiment of the present invention; FIG.

FIG. 5 is a schematic structural diagram of a power distribution device according to another embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention. The invention is described in a clear and complete manner, and it is obvious that the described embodiments are only a part of the embodiments of the invention, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

An embodiment of the present invention provides a system power allocation method, as shown in FIG. 1 , including:

5101. The MIMO system obtains a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and acquires a spectrum of the system according to a fitting function of each data layer. The sum of efficiency.

Wherein, for obtaining a fitting function of the relationship between the signal-to-noise ratio or the signal-to-noise ratio of each data layer and the spectral efficiency of the data layer, when the signal-to-noise ratio or the signal-to-noise ratio of each data layer and the data layer itself spectrum When the numerical relationship between the efficiencies does not satisfy the logarithmic relationship, other fitting functions, such as polynomial fitting, exponential fitting, hyperbolic fitting, etc., may be employed, which are not limited herein.

5102. The MIMO system obtains the total transmit power of the system according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, and a function of the transmit power of each codeword in the system as a function of the total transmit power of the system. A function of the signal-to-noise ratio or the signal-to-noise ratio of each data layer.

5103. The MIMO system obtains a signal-to-noise ratio or a signal-to-noise ratio of each data layer according to a relationship between a total transmit power of the system and a signal-to-noise ratio or a signal-to-noise ratio of each data layer.

5104. The MIMO system acquires the transmit power of each data layer according to a signal to noise ratio or a signal to interference and noise ratio of each data layer.

Embodiments of the present invention provide a system power allocation method, which acquires a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and according to each data. The fitting function of the layer obtains the sum of the spectral efficiencies of the system, and then according to the signal-to-noise ratio or the signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, the transmit power of each codeword in the system, and the total transmit power of the system. The function relationship is obtained as a function of the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer. Further, according to the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer When the total spectral efficiency of the system is the largest, the signal to noise ratio or the signal to interference and noise ratio of each data layer is obtained, and the transmission power of each data layer is obtained according to the signal to noise ratio or the signal to interference and noise ratio of each data layer, which can be in a single code. In word-to-multilayer mapping MIMO systems, power allocation optimization is achieved Maximum system throughput.

Another embodiment of the present invention provides a system power allocation method, as shown in FIG. 2, including:

S201. The MIMO system obtains a fitting coefficient of a fitting function of each data layer according to a logarithmic relationship between a signal-to-noise ratio or a signal-to-noise ratio of each data layer and a spectral efficiency of the data layer, and according to a fitting coefficient of each data layer. Get the fit function for each data layer.

Illustratively, when the numerical relationship between the signal-to-noise ratio or the signal-to-noise ratio of each data layer and the spectral efficiency of the data layer satisfies a logarithmic relationship, the fitting function is obtained by a logarithmic function, and the fitting function can be: y = x log + x)+ c , where X is the signal-to-noise ratio or signal-to-noise ratio of the data layer, j is the spectral efficiency, a ·> b ·> c is the data fitting coefficient, and t is the fitting function The base of the logarithm. Here, the fitting coefficient value can be obtained based on the quantized data of the signal-to-noise ratio or the signal-to-noise ratio of each data layer and the spectral efficiency of the data layer itself.

Wherein, when the fitting function can be a logarithmic function, the base t in the logarithmic function can be set by itself, for example, t = 10 or t = 2.

S202. The MIMO system maps the first to mth data layers in the system to the first codeword, and maps the m+1th to kth data layers in the system to the second codeword, where the codewords belong to the same codeword. The signal-to-noise ratio or signal-to-interference ratio is equal for all data layers.

Exemplarily, in an implementation manner, the MIMO system can support 8-layer multi-data layer transmission, where the first codeword and the second codeword respectively comprise 4 data layers, that is, the MIMO system is a single codeword. Mapping system to multiple data layers.

It should be noted that all data layers in the MIMO system are not limited to being mapped to two codewords, but may also be mapped to multiple codewords, and according to respective signal to noise ratios or signal to interference and noise ratios of multiple codewords. Acquire power allocation for each data layer of the MIMO system. Thus, when the number of system code words is multiple code words, the system can also support multi-data layer transmission, and is not limited to supporting 8-layer multi-data layer transmission.

S203. The MIMO system acquires a spectral efficiency of the first codeword and a spectral efficiency in the second codeword according to a fitting function of each data layer.

Illustratively, when the spectral efficiencies of all the data layers in the same codeword are equal, according to the above fitting function, when the first to mth data layers in the system are mapped to the first codeword, the first codeword is The sum of spectral efficiencies can be: m^zx log b + xj + c] , where represents the total number of layers in the system, w represents the data layer in the first codeword in the system; When the m+1 to kth data layers are mapped to the second codeword, the sum of the spectral efficiencies in the second codeword may be: (A - m^ x log ^ + xj + c) , where w represents the number in the system The two codewords contain the -w data layer.

S204. The MIMO system adds the speech efficiency of the first codeword to the general efficiency of the second codeword to obtain a total spectral efficiency of the system.

Illustratively, if the signal to noise ratio or the signal to interference and noise ratio of all data layers in the same codeword are equal, the sum of the spectral efficiency of the first codeword is added to the sum of the spectral efficiency of the second codeword. , the total efficiency of the obtained MIMO system, the sum of the efficiency can be utilized first

Where ∑ X log (b + ) + c} represents the sum of spectral efficiencies.

S205. The MIMO system is based on a signal-to-noise ratio or a signal-to-interference ratio of each data layer as a function of the data layer's own transmit power, when the signal-to-noise ratio or the signal-to-noise ratio of all data layers in the same codeword is equal. And acquiring, as a function of the transmit power of each data layer, the transmit power of the nth data layer in the first codeword or the transmit power of the wth data layer in the second codeword.

The signal-to-noise ratio or the signal-to-interference-to-noise ratio of each data layer can be expressed as: χ, . = , where , , represents the data layer signal to noise ratio or the signal to interference and noise ratio, and ^ represents the channel gain corresponding to the data layer. , _Α . indicates the transmit power of the data layer of the system, and σ ² represents the equivalent noise power.

In the case where the signal-to-noise ratio or the signal-to-interference ratio of all data layers in the same codeword is equal, the signal-to-noise ratio or the signal-to-noise ratio of the data layer can be expressed as: the signal-to-noise ratio or

among them

^ι ₌ Δ ₌ ··· ₌ indicates the signal-to-noise ratio or signal-to-interference ratio σ σ σ of all data layers in the first codeword

Equal, indicating the signal-to-noise ratio of all data layers in the second codeword

Or the signal to interference ratio is equal. Since the signal-to-noise ratio or the signal-to-interference ratio is equal for all data layers in the same codeword, for convenience of explanation, it is assumed that η is 1 and w is k, that is, the first data layer and the second of the first codeword. The kth data layer of the codeword is described as an example.

Therefore, when n is 1 and w is k, the signal-to-noise ratio is based on all layers in the same codeword. Or the signal-to-noise ratio is equal representation, the obtained signal-to-noise ratio or signal-to-noise ratio of each data layer as a function of the data layer's own transmit power can be expressed as:

Λ < i < m

, where _Α represents the transmit power of the data layer, Α denotes m < i < k

1 The channel gain of the data layer, indicating the channel gain of the data layer, and ^ indicates the channel gain of the data layer.

S206. The MIMO system acquires a function relationship between a transmit power of each codeword in the system and a total transmit power of the system according to a relationship between a transmit power of each data layer and a transmit power of the nth data layer or a transmit power of the wth data layer.

Exemplarily, when n is 1 and w is k, since the total power of the system is limited, the transmission power of each codeword in the system as a function of the total transmit power of the system can be expressed as: _PlWl + _Pk w ₂ = ρ _τ , Where A represents the transmit power of the first data layer, /^ represents the data λ, the transmit power of the layer, /^ represents the total transmit power of the system, _Wl

... - person

5207. The MIMO system obtains a total system emission according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, and a function of the transmit power of each codeword in the system as a function of the total transmit power of the system. The power is a function of the signal to noise ratio or the signal to interference and noise ratio of the nth data layer and the signal to noise ratio or the signal to interference and noise ratio of the wth data layer.

Exemplarily, when n is 1 and w is k, according to the above, the transmit power of each data layer is a function of the transmit power of the first data layer or the transmit power of the kth data layer: _Χί =^ , and the system The transmission power of each codeword and the total transmission power of the system σ ²

Functional relationship: _AWI + A _W2 = The total system transmit power obtained is a function of the signal-to-noise ratio or signal-to-noise ratio of the first data layer and the signal-to-noise ratio or signal-to-noise ratio of the kth data layer.

^ _{Xi +} ^ _{Xt =} P _T , where represents the channel gain corresponding to the data layer.

5208. The MIMO system maximizes the sum of the system spectral efficiencies as the objective function, and then compares the total transmit power of the system with the signal to noise ratio or the signal to interference and noise ratio of the nth data layer and the signal to noise ratio or the signal to interference and noise ratio of the wth data layer. The function relationship is the constraint of the objective function.

Specifically, when n is 1 and w is k, the total system spectral efficiency maximization can be maximized as the objective function, and then the total system transmit power and the first data layer signal to noise ratio or signal to interference and noise ratio are Specifically can be expressed as

Where ma- mx[axlog(b + x _l )+c] + (k- m)x [axlog(b + )+ c]} ^ ^ the signal-to-noise ratio of the first data layer when the system spectral efficiency is maximized or Signal dry-to-noise ratio and the signal-to-noise ratio or signal-to-interference ratio of the kth data layer, _Χι + = P _t indicates the constraint when the total power of the system is limited

Κ

condition.

S209. The MIMO system is based on the maximum value of the total spectral efficiency of the system, and the total system transmit power as a function of the signal to noise ratio or the signal to interference and noise ratio of the nth data layer and the signal to noise ratio or the signal to interference and noise ratio of the wth data layer. For the extreme value condition, the signal to noise ratio or the signal to interference and noise ratio of the nth data layer and the signal to noise ratio or the signal to interference and noise ratio of the wth data layer are obtained.

Specifically, when n is 1, w is k, when acquiring the relationship between the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of the first data layer and the signal-to-noise ratio or the signal-to-noise ratio of the kth data layer Because the conditional extreme value problem is an application problem often encountered in practice, and the Lagrange multiplier method is an effective tool to solve the conditional extreme value problem, the Lagrange multiplier method can be used to obtain the maximum value of the sum of the system spectral efficiency. At this time, let q _x =^^, q ₂ =^^, and the Bay ¹ J Lagrange multiplier method can be expressed as:

Z = mx[a log, (b + x _l )+c]+(k- m) [ax log, (b + x _k )+c]+L(P _T - q _x x _x - q ₂ x _k a linear signal to noise ratio or a signal to interference and noise ratio _{X1 of the} first codeword and a linear signal to noise of the second codeword

Lq ₂ = 0 , by the partial derivative formula

It can be obtained that: the power value in the first codeword is _Λ = ^^- , and the power value in the second codeword can be

Lint

a(k-m)

Think = _ ^J ~bq ₂ , so the total system power can be expressed as + q ₂ x _k = Ρ _τ ,

Lint

It can also be expressed as ϋ - +^^- ₂ =Α.

Lint Lint

Am , a(k-m)

According to the system total power formula ^ ^ +^^-bq ₂ = can be obtained, respectively

Li t Lint

"1" 丄 " _{Pr+ ?} ( _gi+g2 )] is substituted into the first codeword power formula _{Χι =} ϋ - and the second codeword power formula q _lXk = -bq ₂ to obtain the total system transmit power and the first data layer.

Lint

The relationship between the signal-to-noise ratio or the signal-to-noise ratio is

The relationship between the power of the winter and the signal-to-noise ratio or the signal-to-noise ratio of the kth data layer is

S210. The MIMO system acquires a transmit power of the nth data layer according to a signal to noise ratio or a signal to interference and noise ratio of the nth data layer, and obtains a transmit power of the wth data layer by a signal to noise ratio or a signal to interference and noise ratio of the wth data layer.

Exemplarily, when n is 1, w is k, the relationship between the total transmit power of the system and the signal-to-noise ratio or signal-to-noise ratio of the first layer and the signal-to-noise ratio or the signal-to-noise ratio of the kth data layer are obtained. After that, since the signal-to-noise ratio or the signal-to-noise ratio of the first data layer can be expressed as =, the kth

σ

The layer's signal-to-noise ratio or signal-to-noise ratio can be expressed as so _Χι =

2 σ ²

— 6 can

To get:

The transmit power of layer 1 can be expressed as: p^^^+^ + )]-^^,

w _x k ^L ”

And get A = P _T +b - w +b - w ₂ km

The transmit power of the k layer can be expressed as: _Λ =ϋ"^+ζ>( ₁₊ )]—and

w ₂ k L ”

Pk

S211. The MIMO system acquires transmit power of all data layers except the nth data layer and the wth data layer according to the transmit power of the nth data layer or the transmit power of the wth data layer.

Specifically, when n is 1 and w is k, after the transmission power of the first data layer or the transmission power of the kth data layer is obtained, the signal-to-noise ratio or the signal of each data layer may be A representation of the noise ratio as a function of the data layer's own transmit power to obtain all data except the first data layer and the kth data layer

The transmit power of the layer, so that the maximum target function of the MIMO system is maximized to obtain the required power value of each data layer of the system, so that the power allocation of the single codeword to the multi-layer mapped MIMO system is optimized, so that the system can handle The amount has been significantly improved.

Wherein, after acquiring the power required for each data layer of the system, in a single codeword In the case where the signal-to-noise ratio or the signal-to-interference ratio is equal in each data layer, the data-to-noise ratio or the signal-to-noise ratio and the spectral efficiency of each layer in a single codeword are made, so that the data layers in a single codeword are The spectral efficiency is equal.

In summary, since the system spectral efficiency is maximized and the system throughput is maximized, the signal-to-noise ratio or the signal-to-noise ratio of each data layer is obtained according to the system spectral efficiency when the sum of the system spectral efficiencies is maximized. Then, according to the signal-to-noise ratio or the signal-to-noise ratio of each data layer, the transmission power of each data layer is obtained, and the throughput can be maximized while realizing the power allocation of the MIMO system from single codeword to multi-layer mapping.

Embodiments of the present invention provide a system power allocation method, which acquires a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and according to each data. The fitting function of the layer obtains the sum of the spectral efficiencies of the system, and then according to the signal-to-noise ratio or the signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, the transmit power of each codeword in the system, and the total transmit power of the system. The function relationship is obtained as a function of the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer. Further, according to the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer When the total spectral efficiency of the system is the largest, the signal to noise ratio or the signal to interference and noise ratio of each data layer is obtained, and the transmission power of each data layer is obtained according to the signal to noise ratio or the signal to interference and noise ratio of each data layer, which can be in a single code. In word-to-multilayer mapping MIMO systems, power allocation optimization is achieved to maximize system throughput.

A further embodiment of the present invention provides a power distribution device 01, as shown in FIG. 3, including:

The spectral efficiency and acquisition unit 01 1 is configured to obtain a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and according to the data layer The conjunction function obtains the sum of the spectral efficiencies of the system.

The power and signal-to-noise ratio relationship obtaining unit 012 is configured to calculate, according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer, a function relationship between the data layer's own transmit power, and a transmit power of each codeword in the system and a total system transmit power. The function relationship is obtained as a function of the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer, and sends the total transmit power of the system to the signal-to-noise ratio or the signal-to-noise ratio of each layer to the signal-to-noise ratio. The ratio or the signal to noise ratio acquisition unit 013.

The signal to noise ratio or signal to interference and noise ratio obtaining unit 013 is configured to receive the total transmit power of the system and the signal to noise ratio or the signal to interference and noise ratio of each layer from the power and signal to noise ratio relationship obtaining unit 012. According to the total transmit power of the system and the signal-to-noise ratio or the signal-to-interference ratio of each data layer, when the sum of the spectral efficiencies of the system is the largest, the signal-to-noise ratio or the signal-to-noise ratio of each data layer is obtained.

The power obtaining unit 014 is configured to receive a signal to noise ratio or a signal to interference and noise ratio of each data layer from a signal to noise ratio or a signal to interference and noise ratio obtaining unit 013, and acquire each data layer according to a signal to noise ratio or a signal to interference and noise ratio of each data layer. Transmit power.

Further, as shown in FIG. 4, the spectral efficiency and acquisition unit 01 1 may include: a fitting function acquisition subunit 01 1 1 for using a signal to noise ratio or a signal to interference and noise ratio of each data layer and the data layer self spectrum The relationship of efficiency obtains the fitting coefficient of the fitting function of each data layer, and obtains the fitting function of each data layer according to the fitting coefficient of each data layer, and sends the fitting function to the single code word spectrum efficiency obtaining subunit 01 13.

a codeword mapping sub-unit 01 12, configured to map the first to mth data layers in the system to the first codeword, and map the m+1th to kth data layers in the system to the second codeword, where The signal-to-noise ratio or the signal-to-interference ratio is equal for all data layers belonging to the same codeword.

a spectral efficiency obtaining subunit 01 13 is configured to receive a fitting function from the fitting function obtaining subunit 01 1 1 , and obtain a spectral efficiency of the first codeword and a spectral efficiency in the second codeword according to a fitting function of each data layer And transmitting the spectral efficiency of the first codeword and the spectral efficiency within the second codeword to the spectral efficiency and acquisition sub-unit 01 14 .

a spectral efficiency and acquisition sub-unit 01 14 for receiving, from the spectral efficiency acquisition sub-unit 01 13, the spectral efficiency of the first codeword and the spectral efficiency within the second codeword, the spectral efficiency of the first codeword and the second code The spectral efficiencies of the words are added together to obtain the sum of the spectral efficiencies of the system.

Further, the power and signal to noise ratio relationship obtaining unit 012 may be specifically configured to: according to the signal to noise ratio or the signal to noise ratio of all data layers in the same codeword, according to the signal to noise ratio of each data layer or a relationship between a signal to interference and noise ratio and a transmission power of the data layer itself, and a function of acquiring the transmission power of each data layer and the transmission power of the nth data layer in the first codeword or the transmission power of the wth data layer in the second codeword relationship.

According to the transmission power of each data layer and the transmission power of the nth data layer or the transmission power of the wth data layer, the transmission power of each codeword in the system is obtained as a function of the total transmission power of the system.

According to the signal-to-noise ratio or the signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, and the transmission power of each codeword in the system as a function of the total transmit power of the system, the total transmit power of the system and the nth are obtained. Data layer signal to noise ratio or signal to interference and noise ratio and W signal layer signal-to-noise ratio or signal-to-interference ratio as a function of the relationship.

Further, the signal to noise ratio or signal to interference and noise ratio obtaining unit 013 may be specifically configured to: according to the maximum value of the total spectral efficiency of the system, and the total signal transmission power of the system and the signal to noise ratio or the signal to interference and noise ratio of the nth data layer and The function of the signal-to-noise ratio or the signal-to-interference ratio of the wth data layer acquires the signal-to-noise ratio or the signal-to-noise ratio of the nth data layer and the signal-to-noise ratio or the signal-to-noise ratio of the wth data layer.

Further, the power acquisition unit 014 can be specifically configured to:

Acquiring the transmit power of the nth data layer according to the signal to noise ratio or the signal to interference and noise ratio of the nth data layer, and obtaining the transmit power of the wth data layer according to the signal to noise ratio or the signal to interference and noise ratio of the wth data layer;

The transmit power of all data layers except the nth data layer and the wth data layer is obtained according to the transmit power of the nth data layer or the transmit power of the wth data layer.

Further, the fitting function includes:

y = axlog _t (b + x)+c , where x represents the signal-to-noise ratio or signal-to-interference ratio of the data layer, ; represents the spectral efficiency, a , b , c represent the data fitting coefficients, and t represents the fitting function The base of the logarithm;

In the case where the signal-to-noise ratio or the signal-to-interference ratio is equal in all data layers in the same codeword, when n is 1, and w is k, the sum of spectral efficiencies is expressed as:

+ c] where {axk3⁄4(b + x _; .) + c} represents the sum of the spectral efficiencies, representing the total number of layers of the system, / represents the first codeword in the system contains / data layer, indicating the second code in the system The word contains - the data layer, m^xlog^ + xj+c] represents the spectral efficiency of the first codeword, (k - m\a X log, (b + xj + c) represents the spectral efficiency of the second codeword.

Further, the relationship between the signal to noise ratio or the signal to interference and noise ratio of each layer and the layer's own transmit power is expressed as:

,.= , where , ,. indicates the data layer signal to noise ratio or signal to interference and noise ratio, Λ indicates the first ζ·

G

The channel gain corresponding to the data layer, Α indicates the transmit power of the data layer of the system, and σ ² indicates the equivalent noise power;

When the signal-to-noise ratio or the signal-to-interference ratio is equal to all data layers in the same codeword, when η is 1, w is k, the transmit power of each data layer and the transmit power of the nth data layer and the wth The functional relationship of the transmit power of the data layer is expressed as: Ρι , where , . indicates the transmit power of the data layer, ^ indicates

Channel gain of the first data layer, ^ represents the channel gain of the data layer, indicating

Channel gain of the data layer;

The transmission power of each codeword in the system as a function of the total transmit power of the system can be expressed as: +/? ₂ = /? _r , where represents the transmit power of the first data layer, p _k represents the transmit power of the data layer, / ^ indicates the total transmit power of the system;

The relationship between the total transmit power of the system and the signal-to-noise ratio or signal-to-noise ratio of the first data layer and the signal-to-noise ratio or signal-to-noise ratio of the kth data layer can be expressed as:

, ,. indicates the number

According to the channel corresponding to the channel gain.

Further, when n is 1 and w is k, it includes:

The signal to noise ratio or signal to interference and noise ratio of the nth data layer is expressed as:

The signal-to-noise ratio or signal to interference and noise ratio of the W data layer is expressed as

Where _ι denotes the signal-to-noise ratio of the first data layer or the signal x represents the signal-to-noise ratio or the signal-to-noise ratio of the k-layer.

Showing the channel gain corresponding to the data layer, indicating the total transmit power of the system

Further, when n is 1 and w is k, it may include:

The transmit power of the nth data layer is expressed as:

The transmit power of the w data layer is expressed as

Where _Α denotes the first data layer transmit power, denotes the transmit power of the data layer, ^ denotes the total transmit power of the system, Λ denotes: 1 the channel gain of the data layer, ^ denotes the channel gain of the data layer, ^ denotes the data layer Channel gain, σ ² represents the equivalent noise power, and a, b, c represent the fit factor. Embodiments of the present invention provide a power distribution apparatus, which acquires a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and according to each data layer. The fitting function obtains the sum of the spectral efficiencies of the system, and then according to the signal-to-noise ratio or the signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, the transmit power of each codeword in the system, and the total transmit power of the system. The function relationship is obtained as a function of the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer. Further, according to the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer, When the sum of the spectral efficiencies of the system is the largest, the signal to noise ratio or the signal to interference and noise ratio of each data layer is obtained, and the transmission power of each data layer is obtained according to the signal to noise ratio or the signal to interference and noise ratio of each data layer, which can be in a single codeword. In a multi-layer mapped MIMO system, power allocation optimization is achieved to maximize system throughput.

A further embodiment of the present invention provides a power distribution device 02, as shown in FIG. 5, which may include a processor 024, a receiver 021, a transmitter 023, and a memory 022, where the memory 022 is configured to store the allocated power value. And the function relationship value generated in the power allocation process, the processor 024 is configured to execute the system power allocation method provided in the foregoing embodiment, to obtain a power allocation value of each data layer in the system, and store the obtained power allocation value in the memory 022. The transmitter 023 is configured to obtain the power allocation values of the allocated data layers from the memory 022, perform power allocation on the respective data layers, and transmit the data signals of the layers, and the receiver 021 is configured to receive the information sent by the transmitter 023. a data signal, wherein: the processor 024 is configured to obtain a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and according to the data layer The conjunction function obtains the sum of the spectral efficiencies of the system.

The processor 024 is further configured to acquire a total system according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer as a function of a transmit power of the data layer, a function of a transmit power of each codeword in the system, and a total transmit power of the system. The transmit power is a function of the signal to noise ratio or the signal to noise ratio of each data layer.

The processor 024 is further configured to obtain a signal-to-noise ratio or a signal-to-noise ratio of each data layer according to a relationship between a total transmit power of the system and a signal-to-noise ratio or a signal-to-noise ratio of each data layer, when the total spectral efficiency of the system is the largest. .

The processor 024 is further configured to obtain the transmit power of each data layer according to a signal to noise ratio or a signal to interference and noise ratio of each data layer. Further, the processor 024 can be specifically configured to:

According to the relationship between the signal-to-noise ratio or the signal-to-noise ratio of each data layer and the spectral efficiency of the data layer, the fitting coefficients of the fitting functions of the data layers are obtained, and the data layers are obtained according to the fitting coefficients of the data layers. Combined function

Mapping the 1st to mth data layers in the system to the first codeword, mapping the m+1th to kth data layers in the system to the second codeword, wherein all the data layers belonging to the same codeword Signal to noise ratio or signal to interference and noise ratio is equal;

Obtaining a spectral efficiency of the first codeword and a spectral efficiency in the second codeword according to a fitting function of each data layer;

The spectral efficiency of the first codeword is added to the sum of the spectral efficiencies of the second codeword to obtain the sum of the spectral efficiencies of the system.

Further, the processor 024 can also be specifically used to:

When the signal-to-noise ratio or the signal-to-interference ratio is equal in all the data layers in the same codeword, the data is obtained according to the signal-to-noise ratio or the signal-to-noise ratio of each data layer as a function of the data layer's own transmit power. The layer's own transmit power is a function of the transmit power of the nth data layer in the first codeword or the transmit power of the wth data layer in the second codeword.

According to the signal-to-noise ratio or the signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, and the transmission power of each codeword in the system as a function of the total transmit power of the system, the total transmit power of the system and the nth are obtained. The signal-to-noise ratio or signal-to-noise ratio of the data layer and the signal-to-noise ratio or signal-to-interference ratio of the w-th data layer.

Further, the processor 024 can also be specifically used to:

According to the maximum value of the total spectral efficiency of the system, and the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of the nth data layer and the signal-to-noise ratio or the signal-to-noise ratio of the wth data layer, obtain the nth Signal to noise ratio or signal to interference and noise ratio of the data layer and signal to noise ratio or signal to interference and noise ratio of the wth data layer.

Further, the processor 024 can also be specifically used to:

Acquiring the transmit power of the nth data layer according to the signal to noise ratio or the signal to interference and noise ratio of the nth data layer Rate, the transmit power of the Wth data layer is obtained according to the signal to noise ratio or the signal to interference and noise ratio of the Wth data layer, and the nth data layer and the wth data are obtained according to the transmit power of the nth data layer or the transmit power of the wth data layer. The transmit power of all data layers outside the layer.

Further, the fitting function includes:

y = axlog _t (b + x)+c , where x is the signal-to-noise ratio or signal-to-interference ratio of the data layer, ; represents the spectral efficiency, a ·> b ·> c represents the data fitting coefficient, and t represents the black The base of the logarithm in the conjunction;

In the case where the signal-to-noise ratio or the signal-to-interference ratio is equal in all data layers in the same codeword, when n is 1, w is k, the sum of spectral efficiency is expressed as:

k

^{ χ log _r (b + _f ) + c} = m[ax log _r (b + x^+c] +{k -m ax log _t (b + x _k ) + c] where {axk3⁄4(b + x) + _C } represents the sum of spectral efficiency, : indicates the total number of layers of the system, / indicates that the first codeword in the system contains / data layer, indicating that the second codeword in the system contains the data layer, m^xlog^ + xj +c] represents the spectral efficiency of the first codeword, (k - m\ax log, (b + xj + c) represents the spectral efficiency of the second codeword.

_Χί =^, where , , indicates the data layer signal to noise ratio or signal to interference and noise ratio, Λ indicates the third

G

When the signal-to-noise ratio or the signal-to-interference ratio is equal to all data layers in the same codeword, when η is 1, w is k, the transmit power of each data layer and the transmit power of the nth data layer and the wth The functional relationship of the transmit power of the data layer can be expressed as: where Α represents the transmit power of the ζ·data layer, ^ represents

The channel gain of the first data layer, ^ represents the channel gain of the data layer, and represents the channel gain of the data layer;

The relationship between the transmit power of each codeword in the system and the total transmit power of the system is expressed as: ^+/ ₂ =/^, where A represents the transmit power of the first data layer, ^ represents the transmit power of the ^th data layer, ^ represents Total system transmit power;

The total transmit power of the system and the signal to noise ratio or signal to interference and noise ratio of the first data layer and the kth data The functional relationship between the signal-to-noise ratio or the signal-to-noise ratio of the layer can be expressed as:

Λ indicates the ith number

According to the channel corresponding to the channel gain.

Further, when η is 1 and w is k, it includes:

Or the signal to interference and noise ratio is expressed as:

w data layer signal to noise ratio or signal to interference and noise ratio expressed as

k - ni t

Wherein, the signal to noise ratio or the signal x _k represents the first data layer

Layer signal to noise ratio or signal to interference and noise ratio, σ w

Further, when n is 1 and w is k, it may include:

The transmit power of the nth data layer is expressed as:

w The transmit power of the data layer is expressed as:

k - m

Pt P _T + b- w _l + b- w ₂ b ;

,k Λ

Where _Α denotes the first data layer transmit power, denotes the transmit power of the data layer, ^ denotes the total transmit power of the system, Λ denotes: 1 the channel gain of the data layer, 4 denotes the channel gain of the data layer, and ^ denotes the data layer Channel gain, σ ² represents the equivalent noise power, and a, b, c represent the fit factor.

Embodiments of the present invention provide an apparatus for obtaining a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of the spectral efficiency of the data layer, and according to the data layer The function obtains the sum of the spectral efficiencies of the system, and then according to the signal-to-noise ratio or the signal-to-noise ratio of each data layer as a function of the data layer's own transmit power, the function of the transmit power of each codeword in the system as a function of the total transmit power of the system. Obtaining a function of the total transmit power of the system as a function of the signal-to-noise ratio or the signal-to-noise ratio of each data layer. Further, according to the relationship between the total transmit power of the system and the signal-to-noise ratio or the signal-to-noise ratio of each data layer, when the system Spectrum The layer's signal-to-noise ratio or signal-to-noise ratio obtains the transmit power of each data layer, enabling power allocation optimization in a single-word-to-multilayer mapping MIMO system to maximize system throughput.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are only schematic. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical, mechanical or otherwise.

In addition, in the device in various embodiments of the present invention, each functional unit may be integrated into one processing unit, or each unit may be physically included separately, or two or more units may be integrated into one unit. The above units may be implemented in the form of hardware or in the form of hardware plus software functional units.

All or part of the steps of implementing the above method embodiments may be performed by hardware related to the program instructions. The foregoing program may be stored in a computer readable storage medium, and when executed, the program includes the steps of the foregoing method embodiments; The foregoing storage medium includes: a USB flash drive, a mobile hard disk, and a read only memory (Read Only Memory)

ROM), Random Access Memory (RAM), disk or optical disk, and other media that can store program code.

The above is only the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention. It should be covered by the scope of the present invention. Therefore, the scope of the invention should be determined by the scope of the appended claims.

Claims

Rights request

A system power allocation method, the method comprising: obtaining a fitting function of each data layer according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer of the system as a function of a spectral efficiency of the data layer And obtaining a sum of spectral efficiencies of the system according to a fitting function of the data layers;

Acquiring the transmit work of each data layer according to the signal to noise ratio or the signal to interference and noise ratio of each data layer

2. The method according to claim 1, wherein when there are two codewords in the system, the signal to noise ratio or the signal to interference and noise ratio of each data layer according to the system and the data layer A functional relationship of spectral efficiencies obtains a fitting function of each data layer, and obtains a spectral efficiency sum of the system according to a fitting function of each data layer, including:

Obtaining, according to a fitting function of each data layer, a spectral efficiency of the first codeword and a spectral efficiency of the second codeword;

The spectral efficiency of the first codeword is added to the spectral efficiency of the second codeword to obtain a spectral efficiency sum of the system.

The method according to claim 2, wherein the signal-to-noise ratio or the signal-to-noise ratio according to the data layer is a function of the data layer's own transmit power, and each codeword in the system is a function of the transmit power as a function of the total transmit power of the system, the function of obtaining the total transmit power of the system and the signal to noise ratio or the signal to interference and noise ratio of the data layers Relationships include:

The method according to claim 3, wherein the spectral efficiency of the system is based on a relationship between a total transmit power of the system and a signal-to-noise ratio or a signal-to-interference ratio of the data layers. When the sum is maximum, obtaining the signal to noise ratio or the signal to interference and noise ratio of each data layer includes:

The method according to claim 4, wherein the acquiring the transmit power of each data layer according to the signal to noise ratio or the signal to interference and noise ratio of each data layer comprises:

Obtaining transmit power of all data layers except the nth data layer and the wth data layer according to a transmit power of the nth data layer or a transmit power of the wth data layer

The method according to any one of claims 3 to 5, wherein the fitting function comprises:

y = ax log _t {b + x) + c , where x represents the signal-to-noise ratio or signal-to-interference ratio of the data layer, ; represents the spectral efficiency, a , b , c represent the data fitting coefficients, and t represents the fit Logarithm in function Base

k

^{ χ log, (b + _f )+c} = m[ax lo _r (b + ^+cj+^ m)[ax lo _r (b + x _k )+c] where {"xlog,(6 + x _z .) + c} represents the sum of the spectral efficiencies, representing the total number of data layers of the system, w indicating that the first codeword in the system contains a w data layer, and km represents the second codeword in the system Data layer,

+ xj + c] represents the spectral efficiency of the first codeword, {k - m\a X log, (b + χ ) + c] represents the spectral efficiency of the second codeword.

The method according to any one of claims 3 to 5, characterized in that it comprises:

ί ₌ , where , , represents the data layer signal to noise ratio or signal to interference and noise ratio, 表示 represents the channel gain corresponding to the data layer, _Α represents the transmit power of the data layer of the system, σ ² Expresses equivalent noise power;

Λ \<i<m

Pi , where _Α represents the transmit power of the data layer

m<i <k

^ denotes the channel gain of the first data layer, ^ denotes the channel gain of the first data layer, and A denotes the channel gain of the data layer;

The function of the transmission power of each codeword in the system as a function of the total transmit power of the system is expressed as: A^+A^=p _r , where A represents the first data layer transmit power, / ^ denotes the The transmit power of the data layer, ^ represents the total transmit power of the system; the signal-to-noise ratio or the signal-to-noise ratio of the total transmit power of the system and the first data layer, and the signal-to-noise ratio or the signal-to-noise ratio of the kth data layer The function relationship is expressed as:

Where Λ. indicates

Channel gain corresponding to the data layer

8. The method according to claim 4 or 5, wherein when n is 1 and w is k, the method comprises:

The signal to noise ratio or signal to interference and noise ratio of the n data layer is expressed as:

Where X represents the signal to noise ratio or the signal to interference and noise ratio of the first data layer.

k w.

Total transmission power.

9. The method according to claim 5, wherein when η is 1 and w is k, the method comprises:

The transmit power of the nth data layer is expressed as:

The transmit power of the W data layer is expressed as:

Pt b;

Wherein, _A represents the first data layer transmit power, indicating the transmit power of the first data layer, ^ indicates that the system total transmit power 4 represents the channel gain of the first data layer, and ^ represents the first data layer. Channel gain, ^ represents the channel gain of the data layer, σ ² represents the equivalent noise power, and a, b, c represent the fit factor.

10. A power distribution device, comprising:

a power and signal to noise ratio relationship obtaining unit, configured to perform, according to a signal-to-noise ratio or a signal-to-noise ratio of each data layer, a function relationship between a data layer and a transmit power of the data layer, a transmit power of each codeword in the system, and the a function of the total transmit power of the system, and obtaining a function relationship between the total transmit power of the system and the signal to noise ratio or the signal to interference and noise ratio of the data layers; a signal to noise ratio or signal to interference and noise ratio obtaining unit, configured to calculate, according to a total relationship between a total transmit power of the system and a signal to noise ratio or a signal to interference and noise ratio of each data layer, when the total spectral efficiency of the system is the largest, Obtaining a signal to noise ratio or a signal to interference and noise ratio of each data layer of the system;

And a power acquiring unit, configured to obtain, according to a signal to noise ratio or a signal to interference and noise ratio of each data layer of the system, a transmit power of each data layer.

1 1. The device according to claim 10, wherein when there are two codewords in the system, the spectral efficiency and acquisition unit comprises:

a fitting function obtaining subunit, configured to obtain a fitting coefficient of a fitting function of each data layer according to a logarithmic relationship between a signal to noise ratio or a signal to interference and noise ratio of the data layers and a spectral efficiency of the data layer; And obtaining a fitting function of each data layer according to a fitting coefficient of each data layer;

a codeword mapping subunit, configured to map the first to mth data layers in the system to the first codeword, and map the m+1th to kth data layers in the system to the second codeword, Wherein, the signal to noise ratio or the signal to interference and noise ratio of all data layers belonging to the same codeword are equal;

The device according to claim 1 , wherein the power and signal to noise ratio relationship acquiring unit is specifically configured to:

13. The device according to claim 12, wherein the signal to noise ratio or The signal dry noise ratio acquisition unit is specifically used for:

The device according to claim 13, wherein the power acquisition unit is specifically configured to:

The apparatus according to any one of claims 12 to 14, wherein the fitting function comprises:

y = axlog _t {b + x)+c , where x represents the signal-to-noise ratio or signal-to-interference ratio of the data layer, ; represents the spectral efficiency, a , b , c represent the data fitting coefficients, and t represents the fitting function The base of the logarithm;

In the case where the signal-to-noise ratio or the signal-to-interference ratio of all data layers in the same codeword is equal, when n

Wherein Z{axk3⁄4(b + x _; .) + c} represents the sum of the spectral efficiencies, representing the total number of data layers of the system, ^ indicating that the first codeword in the system contains a w data layer, indicating The second codeword in the system contains - «data layer,

+ xj + c] represents the spectral efficiency of the first codeword, k - m\a X log, (b + χ ) + c] represents the spectral efficiency of the second codeword.

The method according to any one of claims 12 to 14, characterized in that it comprises:

ί ₌ , where , , represents the data layer signal to noise ratio or signal to interference and noise ratio, Λ represents the channel gain corresponding to the data layer, _Α represents the transmission of the ''data layer' of the system Power, ^ represents the equivalent noise power;

, where _Α represents the transmit power of the data layer

The function of the transmission power of each codeword in the system as a function of the total transmit power of the system is expressed as: /^„/ ₂ =/^, where _A represents the first data layer transmit power, indicating the first data The transmit power of the layer, ^ represents the total transmit power of the system; the total transmit power of the system is a function of the signal-to-noise ratio or the signal-to-noise ratio of the first data layer and the signal-to-noise ratio or the signal-to-noise ratio of the kth data layer. The relationship is expressed as:

, ,. indicates the stated

Channel gain corresponding to the i-th data layer.

The method according to any one of claims 13 or 14, wherein when n is 1, w is k, the method comprises:

The noise ratio or signal to interference and noise ratio is expressed as:

K-nii

k

W,

Total system transmit power.

18. The method according to claim 14, wherein when n is 1, w is k, the method comprises:

The transmit power of the nth data layer is expressed as:

The transmit power of the wth data layer is expressed as:

Wherein _A represents the first data layer transmit power, /^ represents the transmit power of the first data layer, represents the total transmit power of the system, ^ represents the channel gain of the first data layer, and 4 represents the first The channel gain of the data layer, ^ represents the channel gain of the data layer, σ ² represents the equivalent noise power, and a, b, c represent the fit coefficient.