CN108235421A - Energy efficiency optimization method and device - Google Patents
Energy efficiency optimization method and device Download PDFInfo
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- CN108235421A CN108235421A CN201711404761.3A CN201711404761A CN108235421A CN 108235421 A CN108235421 A CN 108235421A CN 201711404761 A CN201711404761 A CN 201711404761A CN 108235421 A CN108235421 A CN 108235421A
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- 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
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- 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
- H04W52/26—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
- H04W52/267—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service] taking into account the information rate
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- 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
- H04W52/38—TPC being performed in particular situations
- H04W52/42—TPC being performed in particular situations in systems with time, space, frequency or polarisation diversity
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Abstract
The present invention relates to a kind of energy efficiency optimization method and device, this method includes：According to the reception signal of terminal user in cooperation transmission model, the data throughout that terminal user receives is obtained；According to the reception signal of terminal user in cooperation transmission model, the channel capacity of transmission link is calculated；According to data throughout, the multiple Gauss distribution of additivity distortion noise in downlink data transmission is analyzed；It is distributed according to channel capacity and the multiple Gauss of additivity distortion noise, asks for the upper bound range of channel capacity and lower bound range；Optimized for energy efficiency expression formula is obtained according to upper bound range and lower bound range, and when the floor value for asking for channel capacity reaches maximum value optimized for energy efficiency expression formula optimal solution, optimize the energy efficiency of cooperation transmission model according to optimal solution.It is optimized by the channel capacity floor value to transmission link in cooperation transmission model, will be energy consumption minimized, it realizes the maximization of system energy efficiency, improves the robustness that energy efficiency is detracted relative to hardware.
Description
Technical field
The present invention relates to field of communication technology, more particularly to a kind of energy efficiency optimization method and device.
Background technology
With adapted electric industry be engaged in such as distribution automation, metering automation, video monitoring to communication overlay demand increasingly
Increase, the existing deployment difficulty of the cable communicating technologies such as traditional fiber, carrier wave is big, long construction period, topology become the problems such as being more difficult to
It has been difficult to meet the multi-point and wide-ranging present situation of adapted telecommunication demand, there is an urgent need for fast and efficiently covered using wireless communication technique
Top capping fills.
In order to realize making full use of for flexible covering and resource, traditional TD-LTE (Time Division Long
Term Evolution, timesharing long term evolution) wireless network cooperation transmission algorithm typically each using centralization the network architecture.Collection
In the Chinese style network architecture, multiple remote radio unit (RRU) RRH (Remote Radio Head, remote radio head) share a base band
Processing unit BBU (Baseband Unit, baseband processing unit), therefore can cooperation letter be carried out to single user's terminal simultaneously
Number transmission, promotes the data rate of the user, realizes space diversity gain.
For practical wireless network architecture due to the non-perfect characteristic of its various components hardware, each component can there are hardware
Detraction, hardware detraction can generate distortion effects to data transmission, system performance caused to reduce.
Invention content
Based on this, it is necessary in view of the above-mentioned problems, providing a kind of systematicness that can effectively inhibit caused by hardware detraction
The energy efficiency optimization method and device that can be reduced.
A kind of energy efficiency optimization method, includes the following steps：
According to the reception signal of terminal user in cooperation transmission model, the data throughout that terminal user receives is obtained, association
Make mode and share baseband processing unit for multiple radio frequency units, the collaboration data of multiple radio frequency unit participation terminal users passes
It is defeated；
According to the reception signal of terminal user in cooperation transmission model, the channel capacity of transmission link is calculated；
According to data throughout, the multiple Gauss distribution of additivity distortion noise in downlink data transmission is analyzed, downlink data passes
The data receiver of defeated data transmitting and terminal user's receiver including radio frequency unit transmitter；
It is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise, asks for the upper bound model of channel capacity
It encloses and lower bound range；
Optimized for energy efficiency expression formula is obtained according to upper bound range and lower bound range, and the floor value for asking for channel capacity reaches
To the optimal solution of optimized for energy efficiency expression formula during maximum value, optimize the energy efficiency of cooperation transmission model according to optimal solution.
Above-mentioned energy efficiency optimization method by the reception signal according to terminal user in cooperation transmission model, obtains eventually
The data throughout that end subscriber receives, and the channel capacity of transmission link is calculated, the data throughput received further according to terminal user
It measures, calculates the multiple Gauss distribution of additivity distortion noise in analysis downlink data transmission, according to the channel capacity of transmission link and add
The multiple Gauss distribution of sex distortion noise, asks for the upper bound range of channel capacity and lower bound range, according to upper bound range and lower bound model
It encloses to obtain optimized for energy efficiency expression formula, and optimized for energy efficiency expression formula when the floor value for asking for channel capacity reaches maximum value
Optimal solution, according to optimal solution optimize cooperation transmission model energy efficiency.By asking for the upper bound range of channel capacity under
Boundary's range, and optimized for energy efficiency expression formula is obtained according to upper bound range and lower bound range, the floor value for asking for channel capacity reaches
To the optimal solution of optimized for energy efficiency expression formula during maximum value, the energy efficiency of cooperation transmission model is carried out according to optimal solution excellent
Change, i.e., the channel capacity floor value of transmission link in cooperation transmission model is optimized, will be energy consumption minimized, so as to fulfill association
Make the maximization of the energy efficiency of mode whole system, improve the robustness that energy efficiency is detracted relative to hardware.
In one embodiment, according to the reception signal of terminal user in cooperation transmission model, computing terminal user receives
Data throughout the step of, include the following steps：
According to the reception signal of terminal user in cooperation transmission model, the reception signal interference noise of computing terminal user
Than；
According to the reception Signal Interference and Noise Ratio of terminal user, the data throughout that computing terminal user receives.
In one embodiment, according to data throughout, the multiple Gauss of additivity distortion noise in downlink data transmission is calculated
The step of distribution, includes the following steps：
According to data throughout, the multiple Gauss distribution of the additivity distortion noise of radio frequency unit transmitter is obtained；
According to data throughout, the multiple Gauss distribution of the additivity distortion noise of terminal user's receiver is obtained.
In one embodiment, it is distributed, asked for according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise
The step of upper bound range of channel capacity and lower bound range, include the following steps：
It is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise, asks for obtaining the upper of channel capacity
Boundary's range；
It is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise, asks for obtaining under channel capacity
Boundary's range.
In one embodiment, before optimized for energy efficiency expression formula is obtained according to upper bound range and lower bound range, also
Include the following steps：
According to the channel capacity of transmission link, system energy efficiency expression formula is built.
In one embodiment, optimized for energy efficiency expression formula is obtained according to lower bound range and upper bound range, and asks for letter
The optimal solution of optimized for energy efficiency expression formula when the floor value of road capacity reaches maximum value optimizes cooperation transmission mould according to optimal solution
The step of energy efficiency of type, include the following steps：
Optimized for energy efficiency expression formula is obtained according to system energy efficiency expression formula and upper bound range and lower bound range；
The optimal solution of optimized for energy efficiency expression formula when the floor value of channel capacity reaches maximum value is asked for, according to optimal solution
Optimize the energy efficiency of cooperation transmission model.
In one embodiment, optimized for energy efficiency expression formula is asked for when the floor value of channel capacity reaches maximum value most
Excellent solution according to the step of the energy efficiency of optimal solution optimization cooperation transmission model, includes the following steps：
According to optimized for energy efficiency expression formula, the optimal solution for asking for optimized for energy efficiency expression formula solves formula；
Formula is solved according to optimal solution, asks for the optimal solution of optimized for energy efficiency expression formula；
Optimize the energy efficiency of cooperation transmission model according to optimal solution.
A kind of optimized for energy efficiency device, including：
Data acquisition module for the reception signal according to terminal user in cooperation transmission model, obtains terminal user and connects
The data throughout of receipts, cooperation transmission model share baseband processing unit for multiple radio frequency units, and multiple radio frequency units participate in eventually
The collaboration data transmission of end subscriber；
First computing module, for according to signal is received, calculating the channel capacity of transmission link；
Analysis module, for according to data throughout, analyzing the multiple Gauss point of additivity distortion noise in downlink data transmission
Cloth, downlink data transmission include the data transmission of radio frequency unit transmitter and the data transmission of terminal user's transmitter；
Range asks for module, is distributed, asks for the channel capacity according to transmission link and the multiple Gauss of additivity distortion noise
The upper bound range of channel capacity and lower bound range are taken, according to lower bound range；
Optimization module for obtaining optimized for energy efficiency expression formula according to upper bound range and lower bound range, and asks for channel
The optimal solution of optimized for energy efficiency expression formula when the floor value of capacity reaches maximum value optimizes cooperation transmission model according to optimal solution
Energy efficiency.
A kind of computer readable storage medium is stored with computer program, when computer program is executed by processor so that
Processor performs the step of energy efficiency optimization method.
A kind of computer equipment, including processor and memory, memory is stored with computer program, computer program quilt
When processor performs so that processor performs the step of energy efficiency optimization method.
Above-mentioned optimized for energy efficiency device, computer readable storage medium and computer equipment, by asking for channel capacity
Upper bound range and lower bound range, and optimized for energy efficiency expression formula is obtained according to upper bound range and lower bound range, asks for channel
The optimal solution of optimized for energy efficiency expression formula when the floor value of capacity reaches maximum value, according to optimal solution to cooperation transmission model
Energy efficiency optimizes, i.e., the channel capacity floor value of transmission link in cooperation transmission model is optimized, by energy consumption most
Smallization so as to fulfill the maximization of the energy efficiency of cooperation transmission model whole system, improves energy efficiency relative to hardware
The robustness of detraction.
Description of the drawings
Fig. 1 is the flow chart of energy efficiency optimization method in an embodiment；
Fig. 2 is centralized network architecture model schematic in an embodiment；
Fig. 3 is the flow chart of energy efficiency optimization method in another embodiment；
Fig. 4 is the flow chart of energy efficiency optimization method in another embodiment；
Fig. 5 is the structure diagram of optimized for energy efficiency device in an embodiment；
Fig. 6 is the structure diagram of optimized for energy efficiency device in another embodiment；
Fig. 7 is the structure diagram of optimized for energy efficiency device in another embodiment；.
Specific embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
In one embodiment, as shown in Figure 1, providing a kind of energy efficiency optimization method, include the following steps：
Step S100 according to the reception signal of terminal user in cooperation transmission model, obtains the data that terminal user receives
Handling capacity, cooperation transmission model share baseband processing unit for multiple radio frequency units, multiple radio frequency unit participation terminal users'
Collaboration data transmits.
As shown in Fig. 2, providing a kind of centralized network architecture model, entire model includes the Base-Band Processing that three-level is built
Pond BBU, radio frequency unit RRH, mobile terminal user UE (User End, terminal user).Multiple radio frequency unit RRH are shared at base band
Manage unit B BU.Multiple RRH participate in the collaboration data transmission to UE.
The principle of cooperation transmission is baseband processing unit BBU according to the channel of each radio frequency unit RRH to the user terminal
Status information, determines whether each radio frequency unit RRH participates in the user terminal transmission data, i.e., whether participating in cooperating.For
Determine to participate in the radio frequency unit RRH of cooperation transmission, baseband processing unit BBU is according to the channel state information of radio frequency unit RRH
Precoding processing is carried out to signal data to be transmitted, so that multiple radio frequency unit RRH are sent to the user terminal simultaneously
Signal positive superposition can be realized when receiving, that is, realize the improvement of received signal strength.
Specifically, in centralized network architecture model, mobile terminal can carry out signal biography with multiple radio frequency unit RRH
It is defeated.Downlink transmission is paid close attention in the present embodiment, idiographic flow is：Core net gives the data to be transmitted of certain mobile terminal
To baseband processing unit BBU；Baseband processing unit BBU determines the radio frequency list to mobile terminal transmission data according to channel conditions
First RRH set, such as the preferable radio frequency unit RRH of selection channel conditions carry out cooperation transmission；Baseband processing unit BBU is for true
Fixed radio frequency unit RRH set, the channel conditions based on each radio frequency unit RRH calculate the precoding vector of signal transmission；Base band
The mobile terminal data signal and precoding vector are sent to radio frequency unit RRH by processing unit BBU；RRH pairs of radio frequency unit
The user data signal and precoding vector of the baseband processing unit BBU received carries out rf conversion processing and passes through antenna
Transmitting；The mobile terminal receives the data that multiple radio frequency unit RRH are sent simultaneously, its transmission has been obtained after carrying out reception processing
Data.
Cooperation transmission can promote Signal to Interference plus Noise Ratio SINR (the Signal To Interference that terminal user receives
Plus Noise Ratio, Signal to Interference plus Noise Ratio), and then the handling capacity and energy efficiency of lifting system.
Step S200 according to the reception signal of terminal user in cooperation transmission model, calculates the channel capacity of transmission link.
For k-th of terminal UE, received by signal be mutiple antennas according to the channel state information estimatedInto
Traveling wave beam shaping wkThus the channel capacity of block decline downlink can be calculated in signal afterwards.Specially
WhereinIt is data-signal s and receives the two-way interactive information between signal y,For beam forming to
Amount can be any about estimating channel state informationReally qualitative function, f (s) are then the probability-distribution functions of data-signal,It represents it is expected.
Step S300 according to data throughout, analyzes the multiple Gauss distribution of additivity distortion noise in downlink data transmission, under
Row data transmission includes the data transmission of radio frequency unit transmitter and the data transmission of terminal user's transmitter.
It is more to include power amplifier, converter, frequency mixer, wave filter, oscillator etc. in practical wireless system transceiver
A component.Due to the non-perfect characteristic of various components hardware, each component can be there are hardware detraction, these hardware detraction can be with
Distinctive mode generates distortion effects to wireless signal.
When wireless system transmits data, the hardware present in transceiver can generally be detracted and design corresponding backoff algorithm
It is eliminated, inaccurate and distortion noise the time-varying of the inaccuracy, compensation model however, as hardware impairment model parameter
Characteristic, hardware detraction are merely able to reduce and can not completely eliminate.Especially in the hardware of low cost, compensated rear remnants' is hard
Part detraction is particularly evident, such as the remaining transceiver analog of institute/number conversion ADC quantizing noises, positive intermodulation after non-perfect compensation
Amplitude imbalance and phase quadrature error (I/Q is uneven) of device processed etc..
For system, it is not intended that individual distortion of the hardware detraction of transceiver various components for data transmission
It influences, but considers polymerization effect of the above-mentioned hardware detraction to the distortion effects of data transmission.Therefore by analyzing downlink data
The multiple Gauss of additivity distortion noise is distributed in transmission considers connection of the transceiver hardware detraction to whole system data transmission with whole
Group photo is rung, and specifically, downlink data transmission includes the data transmission of radio frequency unit transmitter and the data of terminal user's receiver
It receives,.
Step S400 is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise, asks for channel appearance
The upper bound range of amount and lower bound range.
In cooperation transmission model, it is contemplated that since hardware detraction is to the polymerization effect of the distortion effects of data transmission, root
It is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise, asks for the upper bound range of channel capacity and lower bound model
It encloses, can obtain causing data transmission the upper bound range of channel capacity and lower bound range after distortion effects, be produced so as to be directed to
Raw distortion effects propose more accurately prioritization scheme.
Step S600 obtains optimized for energy efficiency expression formula, and ask for channel capacity according to upper bound range and lower bound range
Floor value optimized for energy efficiency expression formula when reaching maximum value optimal solution, optimize the energy of cooperation transmission model according to optimal solution
Amount efficiency.
According to the upper bound range of channel capacity and the lower bound range after distortion effects are caused to data transmission acquired, energy is built
Amount efficiency optimizing expression when the floor value of channel capacity reaches maximum value, asks for optimized for energy efficiency expression formula at this time
Optimal solution, can according to the optimal solution acquired it can be learnt that the energy efficiency after being optimized to data transmission by distortion effects
To be interpreted as the optimal solution by asking for optimized for energy efficiency expression formula, the energy efficiency after being optimized, so as to fulfill minimum
Change energy consumption, maximum energy efficiency.
Above-mentioned energy efficiency optimization method by the reception signal according to terminal user in cooperation transmission model, obtains eventually
The data throughout that end subscriber receives, and the channel capacity of transmission link is calculated, the data throughput received further according to terminal user
It measures, calculates the multiple Gauss distribution of additivity distortion noise in analysis downlink data transmission, according to the channel capacity of transmission link and add
The multiple Gauss distribution of sex distortion noise, asks for the upper bound range of channel capacity and lower bound range, according to upper bound range and lower bound model
It encloses to obtain optimized for energy efficiency expression formula, and optimized for energy efficiency expression formula when the floor value for asking for channel capacity reaches maximum value
Optimal solution, according to optimal solution optimize cooperation transmission model energy efficiency.By asking for the upper bound range of channel capacity under
Boundary's range, and optimized for energy efficiency expression formula is obtained according to upper bound range and lower bound range, the floor value for asking for channel capacity reaches
To the optimal solution of optimized for energy efficiency expression formula during maximum value, the energy efficiency of cooperation transmission model is carried out according to optimal solution excellent
Change, i.e., the channel capacity floor value of transmission link in cooperation transmission model is optimized, will be energy consumption minimized, so as to fulfill association
Make the maximization of the energy efficiency of mode whole system, improve the robustness that energy efficiency is detracted relative to hardware.
In one embodiment, as shown in figure 3, step S100 includes step S120 and step S140.
Step S120, according to the reception signal of terminal user in cooperation transmission model, the reception signal of computing terminal user
Interference-to-noise ratio.
Assuming that have the RRH of N number of single antenna in cooperation transmission model, K single antenna terminal user UE, then for k-th eventually
End subscriber, the signal received are
Wherein, hn,kFor the channel vector of n-th of RRH to k-th terminal user, wn,kFor n-th of RRH to k-th user
Precoding vector, meet | wn,k|2=1.SkSignal for k-th of terminal user.ZkFor white Gaussian noise, power σ2。
The Signal Interference and Noise Ratio that then k-th of terminal user receives is
Specifically, it enablesThe then reception signal interference noise of k-th of terminal user
Than for
Wherein, ΓkFor the reception Signal Interference and Noise Ratio of k-th of terminal user, | | | | for two norms,
hn,kFor n-th of radio frequency unit to the channel vector of k-th of terminal user,
wn,kFor n-th of radio frequency unit to the precoding vector of k-th of terminal user, SkFor the signal of k-th of terminal user,wn,lFor n-th of radio frequency unit to the precoding vector of k-th of terminal user, SlFor l-th terminal user's
Signal, σ2Power for white Gaussian noise.
Step S140, according to the reception Signal Interference and Noise Ratio of terminal user, the data throughput that computing terminal user receives
Amount.
According to the reception Signal Interference and Noise Ratio of k-th of terminal user, it can be calculated what k-th of terminal user received
Data throughout, specially B log2(1+Γk), wherein B is system bandwidth.
In one embodiment, as shown in figure 3, step S300 includes step S320 and step S340.
Step S320 according to data throughout, obtains the multiple Gauss distribution of the additivity distortion noise of radio frequency unit transmitter.
Include the data transmission of radio frequency unit transmitter and the data biography of terminal user's receiver due to downlink data transmission
Defeated, specifically, downlink data transmission includes the data transmission of radio frequency unit transmitter and the data receiver of terminal user's receiver,
Therefore when considering polymerization effect of the hardware detraction to the distortion effects of data transmission, first against the number of radio frequency unit transmitter
It is distributed according to the multiple Gauss for analyzing its additivity distortion noise is sent.Analysis obtains, the additivity distortion noise clothes of radio frequency unit transmitter
It is 0 from mean value, variance isMultiple Gauss distribution, specially：
Wherein,For the additivity distortion noise of radio frequency unit transmitter, subscript t represents transmitter,
For radio frequency unit transmitter hardware distort proportionality coefficient,
|wn|2, precoding vector elements of the 1≤n≤N between n-th of radio frequency unit and counterpart terminal user, diag | w1|2,|w2
|2,…,|wN|2It is with | w1|2,|w2|2,…,|wN|2For the N N matrix of diagonal element, pBSTransmitting work(for all base station ends
Rate
Step S340 according to data throughout, obtains the multiple Gauss distribution of the additivity distortion noise of terminal user's receiver.
Include the data transmission of radio frequency unit transmitter and the data biography of terminal user's receiver due to downlink data transmission
It is defeated, therefore when considering polymerization effect of the hardware detraction to the distortion effects of data transmission, for the number of radio frequency unit transmitter
After the multiple Gauss for analyzing its additivity distortion noise distribution is sent, its additivity is analyzed for the data receiver of terminal user's receiver
The multiple Gauss distribution of distortion noise.Analysis obtains, and it is 0 that the additivity distortion noise of terminal user's receiver, which obeys mean value, and variance isMultiple Gauss distribution, specially：
Wherein,For the additivity distortion noise of terminal user's transmitter, subscript r represents receiver,
T represents transposition,For terminal user's transmitter hardware distortion proportionality coefficient, pBSTransmission power for all base station ends.
In one embodiment, as shown in figure 3, step S400 includes step S420 and step S440.
Step S420 is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise, asks for obtaining letter
The upper bound range of road capacity.
For the sake of simplicity, the single link that k-th of terminal UE will be concerned only with, Ck、Wait parameters no longer specially
Mark subscript k.Assuming that in the known perfect channel state information in transmitting-receiving side, transceiver distortion noise and useful signal phase at this time
It is independent, be when data-signal s is gaussian signal at this time it is optimal, specially
Wherein
The expression formula in the above-mentioned upper bound is solved, needs to find the optimal beam shape that can realize upper bound vector.Since the letter is done
It is a general Rayleigh coefficient, therefore its maximum value is to make an uproar than SINR expression formula：
D in formulah=diag | h1|2,…,|hN|2, the optimal beam forming vector for reaching maximum value is：
And then using the conclusion, the upper bound that can obtain the channel capacity of the general memoryless decline downlink is：
Channel capacities of the C for transmission link, C in formulaupperFor the upper bound of channel capacity,Detraction system for terminal user
Number, G is intermediate variable,r11,…,rNNIt is the diagonal element of matrix R
Element,For exponential integral.
Further, the channel link capacity upper bound expression of above-mentioned closure has following Asymptotic Property：
In formula, N is the antenna number for participating in cooperation transmission,For the detraction coefficient of radio frequency unit transmitter,For terminal
The detraction coefficient of receiver user.Above-mentioned two formulas explanation, as downlink transmitted power PBSBecome larger or participate in cooperation transmission
When antenna number N becomes larger, power system capacity has the determining upper bound.The upper bound is by specifically detracting coefficientIt determines, and the latter
Influence for system performance becomes apparent from.
Step S440 is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise, asks for obtaining letter
The lower bound range of road capacity.
Assuming that system can not learn channel state information without descending pilot frequency signaling, and in end side, then under channel capacity
Boundary is：
WhereinIt calculates according to the following formula：
| | w | |=1 and beFunction.
The lower bound of above formula in any channel distribution and can be based onAny beam forming function obtained by numerical computations
It arrives.
In one embodiment, as shown in figure 3, further including step S500 before step S600.
Step S500 according to the channel capacity of transmission link, obtains system energy efficiency expression formula.
The definition of energy efficiency is：C be channel link handling capacity, PTotalFor energy consumption.
For the energy efficiency of whole system, then its ηEEIt can be calculated as：
In formula, ηEEFor system energy efficiency, C is channel link handling capacity, PTotalFor energy consumption, CkLetter for k-th of user
Road link throughput, β are transmission power to the matching attribute of power amplifier energy consumption, PCFor other Base-Band Processings and radio frequency expense
Partial energy consumption, pn,kFor optimized variable.
It can be expressed as the problem of energy efficiency robustness optimization as a result,：
As it can be seen that since precoding beam forming vector w meets | | w | |=1, and participate in cooperation transmission antenna number and fix, therefore
To simplify the analysis, ηEEFor system energy efficiency, CkFor the channel link handling capacity of k-th of user, β is put for transmission power to power
The matching attribute of big device energy consumption, pn,kFor optimized variable, PCFor energy consumptions such as other Base-Band Processings, radio frequency overhead parts.
In one embodiment, as shown in figure 3, step S600 includes step S620 and step S640.
It is excellent to obtain energy efficiency according to system energy efficiency expression formula and upper bound range and lower bound range by step S620
Change expression formula.
According to the system energy efficiency expression formula acquired it is found that for arbitraryPTotalIt is relatively fixed, therefore
Worst energy efficiency performance depends on the worst handling capacity of different terminals, and the worst handling capacity of different terminals is relatively independent, therefore has：
In formula,| | w | |=1 and beFunction, andIt calculates according to the following formula：
As a result, according to the upper bound range of channel capacity and lower bound range, the problem of above formula energy efficiency robustness optimization, can
It rebuilds as following optimization problem：
Wherein, p=[pn,k]N=1 ..., N；K=1 ..., K, pn,kFor optimized variable, Ck,lowerFor the lower bound of channel capacity, PTotalFor
Energy consumption,For worst reception Signal Interference and Noise Ratio, PCFor other Base-Band Processings and the energy consumption of radio frequency overhead part, pn,kFor optimization
Variable.In above formula, the molecule of optimization object function and denominator with optimized variable pn,kCorrelation belongs to typical fractional programming and asks
Topic.
Step S640 asks for the optimal solution of optimized for energy efficiency expression formula when the floor value of channel capacity reaches maximum value,
Optimize the energy efficiency of cooperation transmission model according to optimal solution.
According to the optimization problem rebuild it is found that optimized for energy efficiency expression formula can pass through typical fractional programming problems
It is solved, the optimal solution of optimized for energy efficiency expression formula is solved when the floor value of channel capacity reaches maximum value, further according to
The optimal solution of solution optimizes the energy efficiency of cooperation transmission model.
In one embodiment, as shown in figure 4, step S640 includes step S642 to step S646.
Step S642, according to optimized for energy efficiency expression formula, the optimal solution for asking for optimized for energy efficiency expression formula solves formula.
By optimized for energy efficiency expression formula it is found that optimization problem can be used as fractional programming problems to solve, therefore can will optimize
Problem is as a multi-objective optimization question, specially
The problem is generally difficult to direct solution, therefore is generally required to being converted to its equivalence into the form for being easy to solve, therefore
Above-mentioned multi-objective optimization question is converted to following single-object problem, i.e., by given link capacity C, passes through minimum
Energy consumption realizes the maximization to energy efficiency：
Proposition 1：IfIt is for giving link capacity C*Optimization problem (P1) optimal solution, thenIt is excellent
The Pareto optimum solution of change problem (P2).
Step S644 solves formula according to optimal solution, asks for the optimal solution of optimized for energy efficiency expression formula.
Specifically, the method for solving of optimal solution is not unique, in one embodiment, energy efficiency is solved using reduction to absurdity
The optimal solution of optimizing expression, ifIt is not the Pareto optimum solution of optimization problem (P2), then means existIt is the solution of optimization problem (P2), meetsAndI.e. system can be realized more with smaller power
High link capacity.Feasible solution based on optimization problem (P2)We can obtain the feasible solution of optimization problem (P1),
It is specific as follows：Keep energy consumptionIt is constant, and by channel link capacityIt is reduced to C*.As it can be seen thatEqually it is that optimization is asked
Inscribe a feasible solution of (P1).Correspond to same channel link capacity C as a result,*, correspond to two feasible solutions
WithAndThis just assumes with aforementioned proposition "It is for giving link capacity C*Optimization problem
(P1) optimal solution " contradicts, so as to further determine that the optimal solution of optimized for energy efficiency expression formula.
In another embodiment, optimization problem is solved using KKT conditions in step S644.
Lagrangian is built first：
Wherein λnWith μnIt is Lagrange multiplier.
Secondly by function pair variable pn,kDerivation is carried out, can be obtained：
In formula
ObservationDue toWithValue is minimum, therefore rightFollowing simplifying is carried out to express：
And then the expression formula that derivation is carried out to Lagrangian is：
Using following KKT conditions,
Optimal solution, which can be obtained, is：
Wherein, Θ is calculated as follows：
In formula,Expression takes just.
Wherein, λnWith μnMeet equation：
It enablesThen above formula can be expressed as：
Finally, by ξnExhaustive iteration is carried out, then can solve to obtain optimalSpecifically solution procedure is：First
Step：Initialization enables pn,k=0,1≤n≤N, 1≤k≤K.
Second step：ByObtain ξnThe upper bound be：
Third walks：By pn,m=0, obtain ξnLower bound be：
4th step：It enablesSolve pn,k。
5th step：IfThen enable ξupper=ξn
6th step：IfThen enable ξlower=ξn
7th step：If for each terminal k, pn,kIt restrains, then enables n=n+1, jump to second step.
8th step：If for each terminal k, pn,kIt does not restrain, then continues iteration, jump to third step.
So as to acquire optimal solution.
Step S646 optimizes the energy efficiency of cooperation transmission model according to optimal solution.
According to the optimal solution acquired, the energy efficiency after being optimized, so as to fulfill by the way that energy consumption is minimum so that energy
Amount efficiency maximizes.
In one embodiment, as shown in figure 5, a kind of optimized for energy efficiency device is provided, including data acquisition module
10th, the first computing module 20, analysis module 30, range ask for module 40, optimization module 60.
Data acquisition module 10 is used for the reception signal according to terminal user in cooperation transmission model, obtains terminal user and connects
The data throughout of receipts, cooperation transmission model share baseband processing unit for multiple radio frequency units, and multiple radio frequency units participate in eventually
The collaboration data transmission of end subscriber.
The principle of cooperation transmission is baseband processing unit BBU according to the channel of each radio frequency unit RRH to the user terminal
Status information, determines whether each radio frequency unit RRH participates in the user terminal transmission data, i.e., whether participating in cooperating.
First computing module 20 is used to, according to signal is received, calculate the channel capacity of transmission link.
For k-th of terminal UE, received by signal be mutiple antennas according to the channel state information estimatedInto
Traveling wave beam shaping wkThus the channel capacity of block decline downlink can be calculated in signal afterwards.
Analysis module 30 is used to analyze the multiple Gauss point of additivity distortion noise in downlink data transmission according to data throughout
Cloth, downlink data transmission include the data transmission of radio frequency unit transmitter and the data transmission of terminal user's transmitter, specifically,
Downlink data transmission includes the data transmission of radio frequency unit transmitter and the data receiver of terminal user's receiver,.
In cooperation transmission model, it is contemplated that since hardware detraction is to the polymerization effect of the distortion effects of data transmission, root
It is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise.
Range is asked for module 40 and is distributed for the channel capacity according to transmission link and the multiple Gauss of additivity distortion noise, asks
The upper bound range of channel capacity and lower bound range are taken, according to lower bound range.
It is distributed according to the channel capacity of transmission link and the multiple Gauss of additivity distortion noise, asks for the upper bound model of channel capacity
Enclose with lower bound range, can obtain causing data transmission the upper bound range of channel capacity and lower bound range after distortion effects, so as to
Generated distortion effects can be directed to and propose more accurately prioritization scheme.
Optimization module 60 is used to obtain optimized for energy efficiency expression formula, and ask for channel according to upper bound range and lower bound range
The optimal solution of optimized for energy efficiency expression formula when the floor value of capacity reaches maximum value optimizes cooperation transmission model according to optimal solution
Energy efficiency.
According to the upper bound range of channel capacity and the lower bound range after distortion effects are caused to data transmission acquired, energy is built
Amount efficiency optimizing expression when the floor value of channel capacity reaches maximum value, asks for optimized for energy efficiency expression formula at this time
Optimal solution, according to the optimal solution acquired it can be learnt that the energy efficiency after being optimized to data transmission by distortion effects.
In one embodiment, as shown in fig. 6, data acquisition module 10 includes 12 He of Signal Interference and Noise Ratio computing module
Data throughout computing module 14.
Signal Interference and Noise Ratio computing module 12 is used for the reception signal according to terminal user in cooperation transmission model, calculates
The reception Signal Interference and Noise Ratio of terminal user.
Assuming that have the RRH of N number of single antenna in cooperation transmission model, K single antenna terminal user UE, then according to k-th eventually
The signal that end subscriber receives calculates the Signal Interference and Noise Ratio that k-th of terminal user receives.
Data throughout computing module 14 is used for the reception Signal Interference and Noise Ratio according to terminal user, computing terminal user
The data throughout received.
According to the reception Signal Interference and Noise Ratio of k-th of terminal user, it can be calculated what k-th of terminal user received
Data throughout, specially Blog2(1+Γk), wherein B is system bandwidth.
In one embodiment, as shown in fig. 6, analysis module 30 includes the first multiple Gauss distribution module 32 and the second multiple height
This distribution module 34.
The additivity distortion that first multiple Gauss distribution module 32 is used to, according to data throughout, obtain radio frequency unit transmitter is made an uproar
The multiple Gauss distribution of sound.
Include the data transmission of radio frequency unit transmitter and the data biography of terminal user's receiver due to downlink data transmission
It is defeated, therefore when considering polymerization effect of the hardware detraction to the distortion effects of data transmission, first against radio frequency unit transmitter
Data transmission analyze its additivity distortion noise multiple Gauss distribution.
The additivity distortion that second multiple Gauss distribution module 34 is used to, according to data throughout, obtain terminal user's receiver is made an uproar
The multiple Gauss distribution of sound.
Include the data transmission of radio frequency unit transmitter and the data biography of terminal user's receiver due to downlink data transmission
It is defeated, therefore when considering polymerization effect of the hardware detraction to the distortion effects of data transmission, for the number of radio frequency unit transmitter
After multiple Gauss distribution according to its additivity distortion noise of transimiison analysis, its additivity is analyzed for the data transmission of terminal user's receiver
The multiple Gauss distribution of distortion noise.
In one embodiment, as shown in fig. 6, range asks for module 40 asks for module 42 and lower bound model including upper bound range
It encloses and asks for module 44.
Upper bound range asks for module 42 for the channel capacity according to transmission link and the multiple Gauss of additivity distortion noise point
Cloth asks for obtaining the upper bound range of channel capacity.
Assuming that in the known perfect channel state information in transmitting-receiving side, transceiver distortion noise and useful signal are mutually only at this time
It is vertical, it is at this time optimal when data-signal s is gaussian signal, and be a general Rayleigh according to Signal to Interference plus Noise Ratio SINR expression formulas
Coefficient, the optimal beam that maximum value is reached so as to obtain Signal to Interference plus Noise Ratio SINR shape vector, finally obtain the channel of downlink
The upper bound range of capacity.
Lower bound range asks for module 44 for the channel capacity according to transmission link and the multiple Gauss of additivity distortion noise point
Cloth asks for obtaining the lower bound range of channel capacity.
Assuming that system can not learn channel state information without descending pilot frequency signaling, and in end side, channel capacity is obtained
Lower bound range, specifically, lower bound in any channel distribution and can be based onAny beam forming function obtained by numerical computations
It arrives.
In one embodiment, as shown in fig. 6, energy optimizing device further includes the first expression formula structure module 50.
First expression formula structure module 50 is used for the channel capacity according to transmission link, structure system energy efficiency expression
Formula.
The definition of energy efficiency is：C be channel link handling capacity, PTotalFor energy consumption.For whole system
Energy efficiency obtains ηEEExpression formula.
In one embodiment, as shown in fig. 7, optimization module 60 includes the second expression formula structure module 62 and optimal solution is asked
Modulus block 64.
Second expression formula builds module 62, is obtained according to system energy efficiency expression formula and upper bound range and lower bound range
To optimized for energy efficiency expression formula.
According to the system energy efficiency expression formula acquired it is found that for arbitraryPTotalIt is relatively fixed, therefore
Worst energy efficiency performance depends on the worst handling capacity of different terminals, and the worst handling capacity of different terminals is relatively independent, thus structure
Build optimized for energy efficiency expression formula.
Optimal solution asks for module 66, asks for optimized for energy efficiency expression formula when the floor value of channel capacity reaches maximum value
Optimal solution optimizes the energy efficiency of cooperation transmission model according to optimal solution.
According to the optimization problem rebuild it is found that optimized for energy efficiency expression formula can pass through typical fractional programming problems
It is solved, the optimal solution of optimized for energy efficiency expression formula is solved when the floor value of channel capacity reaches maximum value, further according to
The optimal solution of solution optimizes the energy efficiency of cooperation transmission model.
In one embodiment, as shown in fig. 7, optimal solution, which asks for module 64, includes solution formula structure module 61, solution formula
Solve module 63 and optimal solution optimization module 65.
Solution formula structure module 61 is used for according to optimized for energy efficiency expression formula, asks for optimized for energy efficiency expression formula most
Excellent solution solution formula.
By optimized for energy efficiency expression formula it is found that optimization problem can be used as fractional programming problems to solve, therefore can will optimize
Problem is generally difficult to direct solution as a multi-objective optimization question, therefore is required to be converted to its equivalence and is easy to ask
The form of solution, therefore above-mentioned multi-objective optimization question is converted into following single-object problem and is solved again.
Solution formula solves module 63 and is used to solve formula according to optimal solution, asks for the optimal solution of optimized for energy efficiency expression formula.
Specifically, the method for solving of optimal solution is not unique, in one embodiment, energy efficiency is solved using reduction to absurdity
The optimal solution of optimizing expression.
Optimal solution optimization module 65 is used to optimize according to optimal solution the energy efficiency of cooperation transmission model.
According to the optimal solution acquired, the energy efficiency after being optimized, so as to fulfill by the way that energy consumption is minimum so that energy
Amount efficiency maximizes.
A kind of computer readable storage medium is stored with computer program, when computer program is executed by processor so that
Processor performs the step of above-mentioned energy efficiency optimization method.
A kind of computer equipment, including processor and memory, memory is stored with computer program, computer program quilt
When processor performs so that processor performs the step of above-mentioned energy efficiency optimization method.
Above-mentioned optimized for energy efficiency device, computer readable storage medium and computer equipment, by asking for channel capacity
Upper bound range and lower bound range, and optimized for energy efficiency expression formula is obtained according to upper bound range and lower bound range, asks for channel
The optimal solution of optimized for energy efficiency expression formula when the floor value of capacity reaches maximum value, according to optimal solution to cooperation transmission model
Energy efficiency optimizes, i.e., the channel capacity floor value of transmission link in cooperation transmission model is optimized, by energy consumption most
Smallization so as to fulfill the maximization of the energy efficiency of cooperation transmission model whole system, improves energy efficiency relative to hardware
The robustness of detraction.
Each technical characteristic of embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, it is all considered to be the range of this specification record.
Embodiment described above only expresses the several embodiments of the present invention, and description is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that those of ordinary skill in the art are come
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention
Range.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of energy efficiency optimization method, which is characterized in that include the following steps：
According to the reception signal of terminal user in cooperation transmission model, the data throughout that the terminal user receives, institute are obtained
It states cooperation transmission model and shares baseband processing unit for multiple radio frequency units, multiple radio frequency units participate in the number of the terminal user
According to cooperation transmission；
According to the reception signal of terminal user in the cooperation transmission model, the channel capacity of transmission link is calculated；
According to the data throughout, the multiple Gauss distribution of additivity distortion noise in downlink data transmission, the lower line number are analyzed
Include the data transmission of radio frequency unit transmitter and the data transmission of terminal user's receiver according to transmission；
It is distributed according to the channel capacity of the transmission link and the multiple Gauss of the additivity distortion noise, asks for the channel capacity
Upper bound range and lower bound range；
Optimized for energy efficiency expression formula is obtained, and ask for the channel capacity according to the upper bound range and the lower bound range
Floor value reaches the optimal solution of optimized for energy efficiency expression formula during maximum value, is passed according to the optimal solution optimization cooperation
The energy efficiency of defeated model.
2. energy efficiency optimization method according to claim 1, which is characterized in that in the model according to cooperation transmission eventually
The reception signal of end subscriber, includes the following steps the step of calculating the data throughout that the terminal user receives：
According to the reception signal of terminal user in cooperation transmission model, the reception Signal Interference and Noise Ratio of computing terminal user, tool
Body is：
Wherein, ΓkFor the reception Signal Interference and Noise Ratio of k-th of terminal user, | | | | for two norms,
hn,kFor n-th of radio frequency unit to the channel vector of k-th of terminal user, wn,k
For n-th of radio frequency unit to the precoding vector of k-th of terminal user, SkFor the signal of k-th of terminal user,wn,lFor n-th of radio frequency unit to the precoding vector of k-th of terminal user, SlFor l-th terminal user's
Signal, σ2Power for white Gaussian noise.
According to the reception Signal Interference and Noise Ratio of terminal user, the data throughout that computing terminal user receives.
3. energy efficiency optimization method according to claim 1, which is characterized in that it is described according to the data throughout,
The step of calculating the multiple Gauss distribution of additivity distortion noise in downlink data transmission, includes the following steps：
According to the data throughout, the additivity distortion noise obedience mean value for obtaining radio frequency unit transmitter is 0, and variance isMultiple Gauss distribution, specially：
Wherein,For the additivity distortion noise of the radio frequency unit transmitter, subscript t represents transmitter,
For radio frequency unit transmitter hardware distortion ratio system
Number, | wn|2, precoding vector elements of the 1≤n≤N between n-th of radio frequency unit and counterpart terminal user, diag | w1|2,|
w2|2,…,|wN|2It is with | w1|2,|w2|2,…,|wN|2For the N N matrix of diagonal element, pBSTransmitting for all base station ends
Power；
According to the data throughout, the additivity distortion noise obedience mean value for obtaining terminal user's receiver is 0, and variance is
Multiple Gauss distribution, specially：
Wherein,For the additivity distortion noise of terminal user's transmitter, subscript r represents receiver,
T represents transposition,For terminal user's transmitter hardware distortion proportionality coefficient, pBSTransmitting work(for all base station ends
Rate.
4. energy efficiency optimization method according to claim 1, which is characterized in that the letter according to the transmission link
The multiple Gauss of road capacity and the additivity distortion noise is distributed, and asks for the upper bound range of the channel capacity and the step of lower bound range
Suddenly, include the following steps：
It is distributed according to the channel capacity of the transmission link and the multiple Gauss of the additivity distortion noise, asks for obtaining the channel
The upper bound range of capacity, specially：
Wherein, channel capacities of the C for the transmission link, CupperFor the upper bound of the channel capacity,For subtracting for terminal user
Coefficient is damaged, G is intermediate variable；
It is distributed according to the channel capacity of the transmission link and the multiple Gauss of the additivity distortion noise, asks for obtaining the channel
The lower bound range of capacity, specially：
Wherein, channel capacities of the C for the transmission link, ClowerFor the lower bound of the channel capacity,It is done for worst reception signal
Disturb noise ratio.
5. energy efficiency optimization method according to claim 1, which is characterized in that it is described according to the upper bound range and
The lower bound range obtains optimized for energy efficiency expression formula, and described in when the floor value for asking for the channel capacity reaches maximum value
The optimal solution of optimized for energy efficiency expression formula, before the energy efficiency of the optimal solution optimization cooperation transmission model,
It is further comprising the steps of：
According to the channel capacity of the transmission link, system energy efficiency expression formula is built, specially
Wherein, ηEEFor system energy efficiency, C is channel link handling capacity, PTotalFor energy consumption, CkChannel chain for k-th of user
Road handling capacity, β are transmission power to the matching attribute of power amplifier energy consumption, PCFor other Base-Band Processings and radio frequency overhead part
Energy consumption, pn,kFor optimized variable.
6. energy efficiency optimization method according to claim 5, which is characterized in that described according to the lower bound range and institute
It states upper bound range and obtains optimized for energy efficiency expression formula, and the floor value for asking for the channel capacity reaches energy during maximum value
The optimal solution of amount efficiency optimizing expression, according to the step of the energy efficiency of the optimal solution optimization cooperation transmission model,
Include the following steps：
Optimized for energy efficiency is obtained according to the system energy efficiency expression formula and the upper bound range and the lower bound range
Expression formula, specially：
Wherein, p=[pn,k]N=1 ..., N；K=1 ..., K, pn,kFor optimized variable, Ck,lowerFor the lower bound of channel capacity, PTotalFor energy consumption,For worst reception Signal Interference and Noise Ratio, PCFor other Base-Band Processings and the energy consumption of radio frequency overhead part, pn,kFor optimized variable.
The floor value for asking for the channel capacity reaches the optimal solution of optimized for energy efficiency expression formula during maximum value, according to institute
State the energy efficiency that optimal solution optimizes the cooperation transmission model.
7. energy efficiency optimization method according to claim 6, which is characterized in that described to ask under the channel capacity
Dividing value reaches the optimal solution of optimized for energy efficiency expression formula during maximum value, optimizes the cooperation transmission according to the optimal solution
The step of energy efficiency of model, include the following steps：
According to the optimized for energy efficiency expression formula, the optimal solution for asking for the optimized for energy efficiency expression formula solves formula；
Formula is solved according to the optimal solution, asks for the optimal solution of the optimized for energy efficiency expression formula
Optimize the energy efficiency of the cooperation transmission model according to the optimal solution.
8. a kind of optimized for energy efficiency device, which is characterized in that including：
Data acquisition module for the reception signal according to terminal user in cooperation transmission model, obtains the terminal user and connects
The data throughout of receipts, the cooperation transmission model share baseband processing unit, multiple radio frequency unit ginsengs for multiple radio frequency units
It is transmitted with the collaboration data of terminal user；
First computing module, for according to the reception signal, calculating the channel capacity of transmission link；
Analysis module, for according to the data throughout, analyzing the multiple Gauss point of additivity distortion noise in downlink data transmission
Cloth, the downlink data transmission include the data transmission of radio frequency unit transmitter and the data transmission of terminal user's transmitter；
Range asks for module, for the channel capacity according to the transmission link and the multiple Gauss of the additivity distortion noise point
Cloth asks for the upper bound range of the channel capacity and lower bound range, according to the lower bound range；
Optimization module, for obtaining optimized for energy efficiency expression formula, and ask for according to the upper bound range and the lower bound range
The floor value of the channel capacity reaches the optimal solution of optimized for energy efficiency expression formula during maximum value, according to the optimal solution
Optimize the energy efficiency of the cooperation transmission model.
9. a kind of computer readable storage medium, is stored with computer program, which is characterized in that the computer program is handled
When device performs so that the processor perform claim requires the step of any one of 1 to 7 the method.
10. a kind of computer equipment, including processor and memory, the memory is stored with computer program, and feature exists
In when the computer program is performed by the processor so that the processor perform claim requires any one of 1 to 7 institute
The step of stating method.
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