CN107979826A - Power distribution method and device in the DAS to communicate under multiplexer mode containing D2D - Google Patents
Power distribution method and device in the DAS to communicate under multiplexer mode containing D2D Download PDFInfo
- Publication number
- CN107979826A CN107979826A CN201711212629.2A CN201711212629A CN107979826A CN 107979826 A CN107979826 A CN 107979826A CN 201711212629 A CN201711212629 A CN 201711212629A CN 107979826 A CN107979826 A CN 107979826A
- Authority
- CN
- China
- Prior art keywords
- mrow
- msubsup
- user
- transmission power
- represent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
-
- 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
- H04W52/02—Power saving arrangements
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
- H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The present invention is suitable for base station communication technical field, there is provided power distribution method in the DAS of the communication containing D2D under a kind of multiplexer mode, wherein, it is suitable for optimal power allocation method when maximizing SE:First initialize, the corresponding P of ith iteration is then calculated according to the formula of CCCP algorithms1 (i);I=i+1 is made, calculates the corresponding P of i+1 time iteration1 (i+1);If P1 (i+1)With P1 (i)Between 2 norms of difference be less than ξ, then P1 (i+1)As optimal power, and terminate iterative operation;It is suitable for the method for optimal power allocation when maximizing EE:First initialize and the corresponding P of the t times iteration is calculated according to the formula of CCCP algorithms2 (t);T=t+1 is made, calculates the corresponding P of the t+1 times iteration2 (t+1);The P that will be calculated2 (t+1)Bring the energy efficiency EE of system after addition D2D communicates intod2dMiddle calculating ω1 (t+1);If the majorized function h after conversion when meeting to maximize EE1(P2 (t+1),ω1 (t+1)) absolute value be less than ξ, then P2 (i+1)As optimal power, and terminate iterative operation;Method provided by the invention improves the communication quality of communication cell and reduces energy expenditure.
Description
Technical field
The invention belongs to power in a kind of DAS of the communication containing D2D under base station communication technical field, more particularly to multiplexer mode
Distribution method and device.
Background technology
With the fast development of data age, the rapid growth of traffic rate and energy consumption becomes modern wireless communications networks face
The huge challenge faced.Due to naturally being lacked existing for centralized antenna system (Co-located Antenna Systems, CAS)
Fall into, in order to meet ever-increasing business demand, researcher proposes distributing antenna system (Distributed
Antenna Systems, DAS).It becomes raising communication bandwidth, meets user communication quality and reduces energy in communication
A kind of effective means of consumption.DAS is different from traditional CAS, its all antenna for base station are all dispersed among whole cell, it is positive because
In this way, it can effectively reduce the distance between base station and user, so as to reduce the extensive decline of signal during communication, to show
The handling capacity that ground improves communication cell is write, reduces the required energy consumption that communicates under equal conditions.
The mode of another equipment room (Device to Device, D2D) communication is also to improve user communication quality to reduce
The effective means of energy consumption.D2D communications be between two equipment without going through base station help and direct communication, this advantage can
Effectively to reduce the load of base station, while the communication quality that can also be greatly enhanced between short distance user, system is improved
Energy efficiency.
Most of researchs on D2D communications are all that numerous studies show among concentrating on CAS, and D2D is carried out in CAS
Communication can effectively improve the capacity of communication cell, improve the energy efficiency of communication cell;But among research, it is few
Research considers the situation for being combined DAS and D2D communications.
The content of the invention
The present invention provides power distribution method and device in the DAS to communicate under a kind of multiplexer mode containing D2D, it is intended to by D2D
Communication is added among DAS, and D2D user is multiplexed the channel of phone user and communicates, and by both the advantages of, which is combined, comes
Improve the communication quality of communication cell and reduce the energy expenditure of cell.
The present invention provides power distribution method in a kind of DAS of the communication containing D2D under multiplexer mode, the power distribution side
Method is suitable for optimal power allocation during maximum spectral efficiency SE, and the DAS includes n Remote Access Unit RAU, n institute
RAU is stated to be distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, remaining n-1 RAU with it is described
RAU1 is connected and is uniformly distributed among the communication cell, and the communication cell includes 1 phone user UE1 and 1 couple of D2D
User UE2 and UE3, the channel that 1 couple of D2D user is multiplexed the phone user communicate, the power distribution method bag
Include:
Step S101, initializes the iterations i=0 in CCCP algorithms, and initializes the hair of phone user and D2D user
Penetrate power
Wherein, The limitation of optimum transmission power when the maximization SE of expression phone user and D2D user
The convex set that condition is formed;
Step S102, it is corresponding to calculate ith iteration according to the formula of the CCCP algorithms
Step S103, makes i=i+1, and it is corresponding to calculate i+1 time iteration according to the formula of the CCCP algorithms
Step S104, ifWithBetween 2 norms of difference be less than ξ, thenAs optimal power, and terminate
Iterative operation;Otherwise, return to step S102;
Wherein, ξ represents the positive error parameter of a very little.
Present invention also offers power distribution unit in a kind of DAS of the communication containing D2D under multiplexer mode, the power distribution
Method is suitable for optimal power allocation during maximum spectral efficiency SE, and the DAS includes n Remote Access Unit RAU, n
The RAU is distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, remaining n-1 RAU and institute
State RAU1 to be connected and be uniformly distributed among the communication cell, the communication cell includes 1 phone user UE1 and 1 pair
D2D user UE2 and UE3, the channel that 1 couple of D2D user is multiplexed the phone user communicate, the power distribution unit
Including:
Initialization module, for initializing the iterations i=0 in CCCP algorithms, and initializes phone user and D2D use
The transmission power at family
Wherein, The limitation of optimum transmission power when the maximization SE of expression phone user and D2D user
The convex set that condition is formed;
Computing module, it is corresponding for calculating ith iteration according to the formula of the CCCP algorithms
Iteration module, for making i=i+1, and it is corresponding according to the formula of CCCP algorithms calculating i+1 time iteration
Optimal power acquisition module, forWithBetween 2 norms of difference when being less than ξ, judgeAs
Optimal power, and terminate iterative operation;Otherwise, the computing module is returned;
Wherein, ξ represents the positive error parameter of a very little.
Present invention also offers power distribution method in a kind of DAS of the communication containing D2D under multiplexer mode, the power distribution
Method is suitable for optimal power allocation during maximum energy efficiency EE, and the DAS includes n Remote Access Unit RAU, n
The RAU is distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, remaining n-1 RAU and institute
State RAU1 to be connected and be uniformly distributed among the communication cell, the communication cell includes 1 phone user UE1 and 1 pair
D2D user UE2 and UE3, the power distribution method include:
Step S201, initiation parameterWith the iterations t=0 in CCCP algorithms, and initialize honeycomb use
Family and the transmission power of D2D user
Wherein, The limitation of optimum transmission power when the maximization EE of expression phone user and D2D user
The convex set that condition is formed;
Step S202, it is corresponding to calculate the t times iteration according to the formula of the CCCP algorithms
Step S203, makes t=t+1, and it is corresponding to calculate the t+1 times iteration according to the formula of the CCCP algorithms
Step S204, described in calculatingBring the energy efficiency EE of system after addition D2D communicates intod2dMiddle calculating
Step S205, if meet maximize EE when conversion after majorized functionAbsolute value be less than
ξ, thenAs optimal power, and terminate iterative operation;Otherwise, return to step S202;
Wherein, ξ represents the positive error parameter of a very little.
Present invention also offers power distribution unit in a kind of DAS of the communication containing D2D under multiplexer mode, the power distribution
Method is suitable for optimal power allocation during maximum energy efficiency EE, and the DAS includes n Remote Access Unit RAU, n
The RAU is distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, remaining n-1 RAU and institute
State RAU1 to be connected and be uniformly distributed among the communication cell, the communication cell includes 1 phone user UE1 and 1 pair
D2D user UE2 and UE3, the power distribution method include:
Initialization module, for initiation parameterWith the iterations t=0 in CCCP algorithms, and initialize
Phone user and the transmission power of D2D user
Wherein, The limitation of optimum transmission power when the maximization EE of expression phone user and D2D user
The convex set that condition is formed;
First computing module, it is corresponding for calculating the t times iteration according to the formula of the CCCP algorithms
Iteration module, for making t=t+1, and it is corresponding according to the t+1 times iteration of the formula of CCCP algorithms calculating
Second computing module, for it will calculate described inBring the energy efficiency of system after addition D2D communicates into
EEd2dMiddle calculating
Optimal power acquisition module, for the optimization after the conversion when meeting to maximize EEIt is absolute
When value is less than ξ, judgeAs optimal power, and terminate iterative operation;Otherwise, first computing module is returned;
Wherein, ξ represents the positive error parameter of a very little.
Compared with prior art, the present invention beneficial effect is:The present invention provides a kind of multiplexer mode under lead to containing D2D
Power distribution method and device in the DAS of letter, when specifically providing suitable for maximum spectral efficiency and maximum energy efficiency
Optimal power allocation method, which compared with prior art, is combined with DAS by the way that D2D is communicated, answered
With under pattern, i.e., phone user's frequency is multiplexed to improve system frequency utilization rate by D2D user, has given full play to both excellent
Point, can greatly improve the communication quality of communication cell and reduce the energy expenditure of cell, this is for saving energy and raising
User communication quality is very helpful.
Brief description of the drawings
Fig. 1 is the model schematic for the distributing antenna system DAS that the prior art provides;
Fig. 2 is that the flow of power distribution method in the DAS of the communication containing D2D under multiplexer mode provided in an embodiment of the present invention is shown
It is intended to;
Fig. 3 is that the module of power distribution unit in the DAS of the communication containing D2D under multiplexer mode provided in an embodiment of the present invention is shown
It is intended to;
Fig. 4 is that the flow of power distribution method in the DAS of the communication containing D2D under multiplexer mode provided in an embodiment of the present invention is shown
It is intended to;
Fig. 5 is that the module of power distribution unit in the DAS of the communication containing D2D under multiplexer mode provided in an embodiment of the present invention is shown
It is intended to;
Fig. 6 be average SE provided in an embodiment of the present invention in different capacity allocation algorithm with the change of maximum transmission power
The curve synoptic diagram changed and changed;
Fig. 7 be average EE provided in an embodiment of the present invention in different capacity allocation algorithm with the change of maximum transmission power
The curve synoptic diagram changed and changed.
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.
The present invention provides power distribution method in a kind of DAS of the communication containing D2D under multiplexer mode, wherein, the DAS
The model of (Distributed Antenna Systems, distributing antenna system) in the present invention as shown in Figure 1, specifically, examine
Consider single subdistrict, the DAS includes n Remote Access Unit RAU (RemoteAccess Units, RAUs), the n RAU
It is distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, it is considered as a central processing list
Member, it is all among remaining n-1 RAU and the RAU1 are connected and are uniformly distributed in the communication cell by optical fiber
RAUs is the single-antenna base station (Base Station, BS) of low-power consumption.The communication cell includes 1 phone user UE1
(User Equipment, UE1) and 1 couple of D2D user UE2 and UE3.
We assume that the channel that D2D user is multiplexed phone user communicates, and channel information is for communicating both ends all
It is known.The bandwidth of system is set as 1, then the transmission rate of phone user is:
Wherein, pn,1Represent the transmission power of n-th of RAU to UE1, hn,1Represent transmission channel between the two,Represent
The white complex gaussian noise power of phone user, pdRepresent the transmission power of D2D centering senders UE2, h2,1Represent D2D centerings hair
Transmission channel between the person of sending UE2 and phone user UE1.
Similarly, D2D pairs of transmission rate can be expressed as:
Wherein, h2,3Represent the transmission channel between D2D centering two users,Represent the white complex gaussian noise work(of D2D user
Rate, hn,3Represent the transmission channel between n-th of RAU to D2D couples of recipient UE3.Fading channel include one it is small-scale and one
A extensive decline, can be expressed as:
hn,1=gn,1wn,1 (3)
Wherein, gn,1Represent the small-scale decline between different RAU to UE1, independent identically distributed multiple Gauss can be attributed to
Stochastic variable.wn,1Represent independently of gn,1Extensive decline, it can be expressed as:
Wherein, c is average path gain when reference distance is 1km.dn,1Represent the distance between RAU and UE1.α is road
Footpath fading factor, usual value range are [3,5].sn,1The decline variable of logarithm normal distribution, i.e. 10log10sn,1Average
For 0, standard deviation σsh。
Lower mask body is from maximization system SE (Spectral Efficiency, spectrum efficiency) and maximizes system EE
Introduced in terms of the power optimization two of (Energy Efficiency, energy efficiency):
On the optimal power allocation under multiplexer mode during the maximization SE of the DAS of addition D2D communications:
Consider to maximize the optimal power allocation under SE in the DAS of addition D2D communications, system minimum should be met by maximizing SE
The maximum transmission power of requirements of the SE and D2D to minimum SE, phone user and D2D user limit.Problem can be described as:
Wherein, Pc={ pn,1, n=1,2 ..., N }, Represent UE1 and D2D centering senders UE2 most respectively
Big transmission power. Represent the minimum transmission rate of phone user and D2D user.
Under multiplexer mode, D2D maximizes system SE's to communicating by being multiplexed the frequency of phone user
Problem can be summarized as formula (5).We are it can be found that the problem can not direct solution.Therefore we pass through to its form
Adjustment, the optimization for which being changed into special D.C. (difference ofconvex functions) structure are asked
Topic;Then, we can be solved using the effectively optimizing algorithm planned based on D.C..
Define P1=[Pc,pd], f (P1) variable and object function as an optimization, formula (5) can be converted into:
Wherein:
It can be seen that among formula (7) and (8) All it is stringent convex and concave functions, its
In,The convex function after the conversion of optimum transmission power problem when representing the maximization SE of phone user and D2D user,The concave function after the conversion of optimum transmission power problem when representing the maximization SE of phone user and D2D user.Separately
Outside, defineFor the set being made of the restrictive condition in formula (5), since therein first and the 3rd restrictive condition are not
Linear, we can be translated into following linear conditions:
It follows that setFor convex set.
Discussion more than, problem (5) can be converted into following optimization problem:
Problem (11) can utilize the simplification algorithm CCCP (concave of DCA (D.C.algorithm)
Convexprocedure) algorithm is solved, and the algorithm is mainly using MM (majorization minimization) side
Method D.C. is iterated a convex part for object function.
We understand the concave function part of (11) formula there are local derviation, and therefore, we can be unfolded by first order TaylorObtain following iteration expression formula:
Wherein,Represent P1Transposition, i is iterations,RepresentPointThe gradient at place.Us are analyzed more than can sum up when SE is maximized in the DAS of addition D2D communications
Optimal power algorithm is as follows:
On power distribution method in a kind of DAS of the communication containing D2D under multiplexer mode, the power distribution method is suitable for
Optimal power allocation during maximum spectral efficiency SE, as shown in Fig. 2, including:
Step S101, initializes the iterations i=0 in CCCP algorithms, and initializes the hair of phone user and D2D user
Penetrate power
Wherein, The limitation of optimum transmission power when the maximization SE of expression phone user and D2D user
The convex set that condition is formed;
Step S102, it is corresponding to calculate ith iteration according to the formula of the CCCP algorithms
Specifically, above-mentioned (12) formula is the formula of CCCP algorithms, wherein,Represent phone user and D2D user
Transmission power,The restrictive condition of optimum transmission power when the maximization SE of expression phone user and D2D user forms convex
Collection.
Specifically, the step S102 includes:
S1021, the direction of search of the corresponding optimal power allocation of formula of the CCCP algorithms is obtained using quasi-Newton method,
And the optimal step size for each step that Armijo rules are searched for is searched for by linear feedback;
S1022, the formula with reference to described search direction and the optimal step size and with reference to interior point method to the CCCP algorithms
Solved, it is corresponding to obtain ith iteration
Step S103, makes i=i+1, and it is corresponding to calculate i+1 time iteration according to the formula of the CCCP algorithms
Step S104, ifWithBetween 2 norms of difference be less than ξ, thenAs optimal power, and terminate to change
Generation operation;Otherwise, return to step S102;
Wherein, ξ represents the positive error parameter of a very little.
Specifically, ifThen continue return to step S102 and be iterated calculating, until meetingWithBetween 2 norms of difference when being less than ξ, terminate iterative operation.
The present invention provides power distribution unit in a kind of DAS of the communication containing D2D under multiplexer mode, the power distribution dress
Optimal power allocation when being suitable for maximum spectral efficiency SE is put, as shown in figure 3, including:
Initialization module 301, for initializing the iterations i=0 in CCCP algorithms, and initialize phone user and
The transmission power of D2D user
Wherein, The limitation of optimum transmission power when the maximization SE of expression phone user and D2D user
The convex set that condition is formed;
Computing module 302, it is corresponding for calculating ith iteration according to the formula of the CCCP algorithms
Iteration module 303, for making i=i+1, and calculates i+1 time iteration according to the formula of the CCCP algorithms and corresponds to
's
Optimal power acquisition module 304, forWithBetween 2 norms of difference when being less than ξ, judge
As optimal power, and terminate iterative operation;Otherwise, the computing module is returned;
Wherein, ξ represents the positive error parameter of a very little.
On EE models:
According to existing research, the total power consumption P of systemtotalIt is made of, can be expressed as three parts:
Wherein, τ represents the efficiency of radio-frequency power amplifier, and the quantity of data user is launched in φ expression systems, as UE2 and
UE3 as D2D to communication when, φ=N+1;When they use conventional cellular communication, φ=N, PdyAnd PstDynamic is represented respectively
And static power attenuation, P0Represent that optical fiber transmission consumes power;After D2D communications are added, total transmission work(of system
Rate P is expressed as:
When D2D user UE2 and UE3 traditional communication mode, the overall transmission power P of system is expressed as:
The expression way that EE models can be obtained by analysis above is as follows:
When UE2 and UE3 communications are using D2D communications, RtotalFormula (5) is expressed as, transimission power is expressed as Pd2d;When them
During using conventional cellular communication, transimission power is expressed as Pcellular。
On the optimal power allocation under multiplexer mode during the maximization EE of the DAS of addition D2D communications:
Optimal power allocation problem when considering to maximize EE in the downlink DAS of addition D2D communications, should meet UE1 and UE2
(transmitting terminal of D2D centerings) minimum transmission rate and maximum transmission power requirement, optimization problem can be described as:
Wherein, P2=[Pc,pd] represent optimized variable, EEd2dRepresent the energy efficiency of system after addition D2D communicates.
Since (17) are a non-recessed nonlinear optimal problems, we can not directly be tried to achieve most using traditional optimization method
Excellent solution, so the optimization problem to be converted into the optimization problem of a subtraction form by using the correlation theory of fractional programming:
Wherein,
Shown according to correlative study, for problem (17), always there are the optimization problem of a subtraction form of equal value
(18), we show the equivalence relation between formula (17) and (18) by following theorem.
(theorem) definesAnd if only if
WithWhen optimal powerThe EE in (17) formula can be made to reach maximum.
Therefore, according to above theorem, we, which can concentrate on, solves its equivalence problem to obtain optimal power distribution, but
Formula (18) is still a non-convex optimization problem, we can be by being translated into the optimization problem of a D.C. structure;
Object function can change into following form:
Wherein, the convex and recess of object function point can be expressed as:
Wherein,Represent the optimum transmission power problem conversion when maximization EE of phone user and D2D user
Concave function afterwards,After optimum transmission power problem conversion when representing the maximization EE of phone user and D2D user
Convex function, definitionThe set formed for constraints in formula (19), it is easy to it can be seen thatIt is a convex set.Above
Convex portionSimilarly there are local derviation, thus we can to obtain its iterative formula using CCCP algorithms as follows:
Wherein,It is P2Transposition, t is iterations,RepresentPoint
The gradient at place.
The optimal power algorithm that us are analyzed more than when can sum up maximization EE in the DAS of addition D2D communications
It is as follows:
On power distribution method in a kind of DAS of the communication containing D2D under multiplexer mode, as shown in figure 4, including:
Step S201, initiation parameterWith the iterations t=0 in CCCP algorithms, and initialize honeycomb use
Family and the transmission power of D2D user
Wherein, The limitation of optimum transmission power when the maximization EE of expression phone user and D2D user
The convex set that condition is formed;
Step S202, it is corresponding to calculate the t times iteration according to the formula of the CCCP algorithms
Specifically, above-mentioned (22) formula is CCCP algorithms, wherein,Represent the transmission power of phone user and D2D user,The convex set that the restrictive condition of optimum transmission power when the maximization EE of expression phone user and D2D user is formed.
Specifically, the step S202 includes:
S2021, the direction of search of the corresponding optimal power allocation of formula of the CCCP algorithms is obtained using quasi-Newton method,
And the optimal step size for each step that Armijo rules are searched for is searched for by linear feedback;
S2022, the formula with reference to described search direction and the optimal step size and with reference to interior point method to the CCCP algorithms
Solved, it is corresponding to obtain the t times iteration
Step S203, makes t=t+1, and it is corresponding to calculate the t+1 times iteration according to the formula of the CCCP algorithms
Step S204, described in calculatingBring the energy efficiency EE of system after addition D2D communicates intod2dMiddle calculating
Specifically, equation is utilizedCalculateAnd EEd2dExpression formula Such analysis in have to
Go out, can be calculated according to the expression formula provided in Such analysis.
Step S205, if meet maximize EE when conversion after majorized functionAbsolute value be less than
ξ, thenAs optimal power, and terminate iterative operation;Otherwise, return to step S202;
Wherein, ξ represents the positive error parameter of a very little.
Specifically, ifThen continue return to step S202 and be iterated calculating, until meetingWhen, terminate iterative operation;In addition, on the majorized function h after conversion1Expression formula Such analysis in
Provide, can be calculated according to the expression formula provided in Such analysis.
The present invention provides power distribution unit in a kind of DAS of the communication containing D2D under multiplexer mode, the power distribution dress
Optimal power allocation when being suitable for maximum energy efficiency EE is put, as shown in figure 5, including:
Initialization module 401, for initiation parameterWith the iterations t=0 in CCCP algorithms, and initially
Change the transmission power of phone user and D2D user
Wherein, The limitation of optimum transmission power when the maximization EE of expression phone user and D2D user
The convex set that condition is formed;
First computing module 402, it is corresponding for calculating the t times iteration according to the formula of the CCCP algorithms
Iteration module 403, for making t=t+1, and calculates the t+1 times iteration according to the formula of the CCCP algorithms and corresponds to
's
Second computing module 404, for it will calculate described inBring the energy efficiency of system after addition D2D communicates into
EEd2dMiddle calculating
Optimal power acquisition module 405, for the majorized function after the conversion when meeting to maximize EEAbsolute value when being less than ξ, judgeAs optimal power, and terminate iterative operation;Otherwise, institute is returned
State the first computing module;
Wherein, ξ represents the positive error parameter of a very little.
The embodiment of the present invention demonstrates the validity of algorithm by emulation experiment, while also show D2D communications and DAS phases
With reference to the SE and EE that can be greatly enhanced communication cell, specific simulation parameter such as following table:
The change that average SE occurs with the change of maximum transmission power is shown in Fig. 6, it is easy to find out addition in ground
Average SE in the DAS of D2D communications is well more many than single DAS.
For example, when maximum transmission power is 30dBm, the result ratio that SE is obtained is maximized in the DAS of addition D2D communications
The average SE that single DAS is obtained under identical algorithms improves nearly 25%;Moreover, the single DAS when maximum transmission power becomes larger
The growth of average SE is gradually slow to get off, and the average SE of the DAS comprising D2D communications increases still quickly, this fine earth's surface
Understand that D2D is added in big DAS can effectively improve communication cell SE.
The change that average EE occurs with the change of maximum transmission power is shown in Fig. 7, the bright addition D2D of the chart leads to
Average EE in the DAS of letter is improved much than single DAS.
For example, when maximum transmission power is 15dBm, the knot for maximizing EE and obtaining is used in the DAS of addition D2D communications
Fruit improves nearly 18% than the obtained average EE of single DAS under identical algorithms.In the DAS of addition D2D communications, as maximum is sent out
Power increase is penetrated, average EE is begun to decline, but it is still higher than single DAS.
It can be drawn from Fig. 6 and Fig. 7, after D2D communications are added in DAS, the average SE and EE of system will be better than list
One DAS, this shows that it is SE the and EE effective means for improving communication cell that D2D communications, which are added in DAS,.
Power distribution method and device in the DAS to communicate under a kind of multiplexer mode provided by the invention containing D2D, in DAS
Consideration D2D communications, are multiplexed the frequency of phone user, improve system frequency utilization rate, divide under multiplexer mode when D2D user communicates
The SE and EE of analysis system, and the average SE and EE maximized under the system is tried to achieve respectively, while experimental verification theory analysis
Validity;Meanwhile the advantages of D2D communications are combined with DAS, can give full play to both, and can greatly improve communication
The communication quality of cell and the energy expenditure for reducing cell, this has very big side for saving energy and improving user communication quality
Help, distribution method provided by the invention can be applied among 5G communications.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement made within refreshing and principle etc., should all be included in the protection scope of the present invention.
Claims (10)
- A kind of 1. power distribution method in the DAS of the communication containing D2D under multiplexer mode, it is characterised in that the power distribution method Optimal power allocation during suitable for maximum spectral efficiency SE, it is described that the DAS includes n Remote Access Unit RAU, n RAU is distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, remaining n-1 RAU with it is described RAU1 is connected and is uniformly distributed among the communication cell, and the communication cell includes 1 phone user UE1 and 1 couple of D2D User UE2 and UE3, the channel that 1 couple of D2D user is multiplexed the phone user communicate, the power distribution method bag Include:Step S101, initializes the iterations i=0 in CCCP algorithms, and initializes the transmitting work(of phone user and D2D user RateWherein, The restrictive condition of optimum transmission power when the maximization SE of expression phone user and D2D user The convex set of composition;Step S102, it is corresponding to calculate ith iteration according to the formula of the CCCP algorithmsStep S103, makes i=i+1, and it is corresponding to calculate i+1 time iteration according to the formula of the CCCP algorithmsStep S104, ifWithBetween 2 norms of difference be less than ξ, thenAs optimal power, and terminate iteration behaviour Make;Otherwise, return to step S102;Wherein, ξ represents the positive error parameter of a very little.
- 2. power distribution method in DAS as claimed in claim 1, it is characterised in that the formula of the CCCP algorithms is:<mrow> <msubsup> <mi>P</mi> <mn>1</mn> <mrow> <mo>(</mo> <mi>i</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </msubsup> <mo>=</mo> <munder> <mi>argmax</mi> <mrow> <msub> <mi>P</mi> <mn>1</mn> </msub> <mo>&Element;</mo> <msubsup> <mi>C</mi> <mi>R</mi> <mn>1</mn> </msubsup> </mrow> </munder> <mrow> <mo>(</mo> <msubsup> <mi>f</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>c</mi> <mi>a</mi> <mi>v</mi> <mi>e</mi> </mrow> <mrow> <mi>d</mi> <mn>2</mn> <mi>d</mi> </mrow> </msubsup> <mo>(</mo> <msub> <mi>P</mi> <mn>1</mn> </msub> <mo>)</mo> <mo>+</mo> <mo>&dtri;</mo> <msubsup> <mi>f</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>v</mi> <mi>e</mi> <mi>x</mi> </mrow> <mrow> <mi>d</mi> <mn>2</mn> <mi>d</mi> </mrow> </msubsup> <mo>(</mo> <msubsup> <mi>P</mi> <mn>1</mn> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> </msubsup> <mo>)</mo> <mo>*</mo> <msubsup> <mi>P</mi> <mn>1</mn> <mi>T</mi> </msubsup> <mo>)</mo> </mrow> </mrow>Wherein,Represent the transmission power of phone user and D2D user, i is iterations, P1=[Pc,pd], Pc={ pn,1,n =1,2 ..., N }, pn,1Represent the transmission power of n-th of RAU to UE1, pdRepresent the emission maximum work(of D2D centering senders UE2 Rate,The convex set that the restrictive condition of optimum transmission power when the maximization SE of expression phone user and D2D user is formed,The concave function after the conversion of optimum transmission power problem when representing the maximization SE of phone user and D2D user,RepresentPointThe gradient at place,Represent phone user and D2D user The convex function after the conversion of optimum transmission power problem when maximizing SE,Represent P1Transposition.
- 3. power distribution method in DAS as claimed in claim 1, it is characterised in that the step S102 is specifically included:S1021, the direction of search of the corresponding optimal power allocation of formula of the CCCP algorithms is obtained using quasi-Newton method, and is led to Cross the optimal step size for each step that linear feedback search Armijo rules are searched for;S1022, carries out with reference to described search direction and the optimal step size and with reference to interior point method to the formula of the CCCP algorithms Solve, it is corresponding to obtain ith iteration
- A kind of 4. power distribution unit in the DAS of the communication containing D2D under multiplexer mode, it is characterised in that the power distribution method Optimal power allocation during suitable for maximum spectral efficiency SE, it is described that the DAS includes n Remote Access Unit RAU, n RAU is distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, remaining n-1 RAU with it is described RAU1 is connected and is uniformly distributed among the communication cell, and the communication cell includes 1 phone user UE1 and 1 couple of D2D User UE2 and UE3, the channel that 1 couple of D2D user is multiplexed the phone user communicate, the power distribution unit bag Include:Initialization module, for initializing the iterations i=0 in CCCP algorithms, and initializes phone user and D2D user Transmission powerWherein, The restrictive condition of optimum transmission power when the maximization SE of expression phone user and D2D user The convex set of composition;Computing module, it is corresponding for calculating ith iteration according to the formula of the CCCP algorithmsIteration module, for making i=i+1, and it is corresponding according to the formula of CCCP algorithms calculating i+1 time iterationOptimal power acquisition module, forWithBetween 2 norms of difference when being less than ξ, judgeIt is as optimal Power, and terminate iterative operation;Otherwise, the computing module is returned;Wherein, ξ represents the positive error parameter of a very little.
- 5. power distribution unit in DAS as claimed in claim 4, it is characterised in that the formula of the CCCP algorithms is:<mrow> <msubsup> <mi>P</mi> <mn>1</mn> <mrow> <mo>(</mo> <mi>i</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </msubsup> <mo>=</mo> <munder> <mi>argmax</mi> <mrow> <msub> <mi>P</mi> <mn>1</mn> </msub> <mo>&Element;</mo> <msubsup> <mi>C</mi> <mi>R</mi> <mn>1</mn> </msubsup> </mrow> </munder> <mrow> <mo>(</mo> <msubsup> <mi>f</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>c</mi> <mi>a</mi> <mi>v</mi> <mi>e</mi> </mrow> <mrow> <mi>d</mi> <mn>2</mn> <mi>d</mi> </mrow> </msubsup> <mo>(</mo> <msub> <mi>P</mi> <mn>1</mn> </msub> <mo>)</mo> <mo>+</mo> <mo>&dtri;</mo> <msubsup> <mi>f</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>v</mi> <mi>e</mi> <mi>x</mi> </mrow> <mrow> <mi>d</mi> <mn>2</mn> <mi>d</mi> </mrow> </msubsup> <mo>(</mo> <msubsup> <mi>P</mi> <mn>1</mn> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> </msubsup> <mo>)</mo> <mo>*</mo> <msubsup> <mi>P</mi> <mn>1</mn> <mi>T</mi> </msubsup> <mo>)</mo> </mrow> </mrow>Wherein,Represent the transmission power of phone user and D2D user, i is iterations, P1=[Pc,pd], Pc={ pn,1,n =1,2 ..., N }, pn,1Represent the transmission power of n-th of RAU to UE1, pdRepresent the emission maximum work(of D2D centering senders UE2 Rate,The convex set that the restrictive condition of optimum transmission power when the maximization SE of expression phone user and D2D user is formed,The concave function after the conversion of optimum transmission power problem when representing the maximization SE of phone user and D2D user,RepresentPointThe gradient at place,Represent phone user and D2D user Maximization SE when optimum transmission power problem conversion after convex function,Represent P1Transposition.
- A kind of 6. power distribution method in the DAS of the communication containing D2D under multiplexer mode, it is characterised in that the power distribution method Optimal power allocation during suitable for maximum energy efficiency EE, it is described that the DAS includes n Remote Access Unit RAU, n RAU is distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, remaining n-1 RAU with it is described RAU1 is connected and is uniformly distributed among the communication cell, and the communication cell includes 1 phone user UE1 and 1 couple of D2D User UE2 and UE3, the power distribution method include:Step S201, initiation parameterWith the iterations t=0 in CCCP algorithms, and initialize phone user and The transmission power of D2D userWherein, The restrictive condition of optimum transmission power when the maximization EE of expression phone user and D2D user The convex set of composition;Step S202, it is corresponding to calculate the t times iteration according to the formula of the CCCP algorithmsStep S203, makes t=t+1, and it is corresponding to calculate the t+1 times iteration according to the formula of the CCCP algorithmsStep S204, described in calculatingBring the energy efficiency EE of system after addition D2D communicates intod2dMiddle calculatingStep S205, if meet maximize EE when conversion after majorized functionAbsolute value be less than ξ, thenAs optimal power, and terminate iterative operation;Otherwise, return to step S202;Wherein, ξ represents the positive error parameter of a very little.
- 7. power distribution method in DAS as claimed in claim 6, it is characterised in that the formula of the CCCP algorithms is:<mrow> <msubsup> <mi>P</mi> <mn>2</mn> <mrow> <mo>(</mo> <mi>t</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </msubsup> <mo>=</mo> <munder> <mi>argmax</mi> <mrow> <msub> <mi>P</mi> <mn>2</mn> </msub> <mo>&Element;</mo> <msubsup> <mi>C</mi> <mi>R</mi> <mn>2</mn> </msubsup> </mrow> </munder> <mrow> <mo>(</mo> <msubsup> <mi>f</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>c</mi> <mi>a</mi> <mi>v</mi> <mi>e</mi> </mrow> <mrow> <mi>e</mi> <mi>e</mi> </mrow> </msubsup> <mo>(</mo> <msub> <mi>P</mi> <mn>2</mn> </msub> <mo>)</mo> <mo>+</mo> <mo>&dtri;</mo> <msubsup> <mi>f</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>v</mi> <mi>e</mi> <mi>x</mi> </mrow> <mrow> <mi>e</mi> <mi>e</mi> </mrow> </msubsup> <mo>(</mo> <msubsup> <mi>P</mi> <mn>2</mn> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mo>)</mo> <mo>*</mo> <msubsup> <mi>P</mi> <mn>2</mn> <mi>T</mi> </msubsup> <mo>)</mo> </mrow> </mrow>Wherein,Represent the transmission power of phone user and D2D user, t is iterations, P2=[Pc,pd] represent that optimization becomes Amount, Pc={ pn,1, n=1,2 ..., N }, pn,1Represent the transmission power of n-th of RAU to UE1, pdRepresent D2D centering senders UE2 Maximum transmission power,The restrictive condition structure of optimum transmission power when the maximization EE of expression phone user and D2D user Into convex set,After optimum transmission power problem conversion when representing the maximization EE of phone user and D2D user Concave function,RepresentPointThe gradient at place,Represent phone user and The convex function after the conversion of optimum transmission power problem during the maximization EE of D2D user,Represent P2Transposition.
- 8. power distribution method in DAS as claimed in claim 6, it is characterised in that the step S202 is specifically included:S2021, the direction of search of the corresponding optimal power allocation of formula of the CCCP algorithms is obtained using quasi-Newton method, and is led to Cross the optimal step size for each step that linear feedback search Armijo rules are searched for;S2022, carries out with reference to described search direction and the optimal step size and with reference to interior point method to the formula of the CCCP algorithms Solve, it is corresponding to obtain the t times iteration
- A kind of 9. power distribution unit in the DAS of the communication containing D2D under multiplexer mode, it is characterised in that the power distribution method Optimal power allocation during suitable for maximum energy efficiency EE, it is described that the DAS includes n Remote Access Unit RAU, n RAU is distributed among communication cell, wherein, RAU1 is located at the center of the communication cell, remaining n-1 RAU with it is described RAU1 is connected and is uniformly distributed among the communication cell, and the communication cell includes 1 phone user UE1 and 1 couple of D2D User UE2 and UE3, the power distribution method include:Initialization module, for initiation parameterWith the iterations t=0 in CCCP algorithms, and honeycomb is initialized User and the transmission power of D2D userWherein, The restrictive condition of optimum transmission power when the maximization EE of expression phone user and D2D user The convex set of composition;First computing module, it is corresponding for calculating the t times iteration according to the formula of the CCCP algorithmsIteration module, for making t=t+1, and it is corresponding according to the t+1 times iteration of the formula of CCCP algorithms calculatingSecond computing module, for it will calculate described inBring the energy efficiency EE of system after addition D2D communicates intod2dFall into a trap CalculateOptimal power acquisition module, for the optimization after the conversion when meeting to maximize EEAbsolute value it is small When ξ, judgeAs optimal power, and terminate iterative operation;Otherwise, first computing module is returned;Wherein, ξ represents the positive error parameter of a very little.
- 10. power distribution unit in DAS as claimed in claim 8, it is characterised in that the formula of the CCCP algorithms is:<mrow> <msubsup> <mi>P</mi> <mn>2</mn> <mrow> <mo>(</mo> <mi>t</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </msubsup> <mo>=</mo> <munder> <mi>argmax</mi> <mrow> <msub> <mi>P</mi> <mn>2</mn> </msub> <mo>&Element;</mo> <msubsup> <mi>C</mi> <mi>R</mi> <mn>2</mn> </msubsup> </mrow> </munder> <mrow> <mo>(</mo> <msubsup> <mi>f</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>c</mi> <mi>a</mi> <mi>v</mi> <mi>e</mi> </mrow> <mrow> <mi>e</mi> <mi>e</mi> </mrow> </msubsup> <mo>(</mo> <msub> <mi>P</mi> <mn>2</mn> </msub> <mo>)</mo> <mo>+</mo> <mo>&dtri;</mo> <msubsup> <mi>f</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>v</mi> <mi>e</mi> <mi>x</mi> </mrow> <mrow> <mi>e</mi> <mi>e</mi> </mrow> </msubsup> <mo>(</mo> <msubsup> <mi>P</mi> <mn>2</mn> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </msubsup> <mo>)</mo> <mo>*</mo> <msubsup> <mi>P</mi> <mn>2</mn> <mi>T</mi> </msubsup> <mo>)</mo> </mrow> </mrow>Wherein,Represent the transmission power of phone user and D2D user, t is iterations, P2=[Pc,pd] represent that optimization becomes Amount, Pc={ pn,1, n=1,2 ..., N }, pn,1Represent the transmission power of n-th of RAU to UE1, pdRepresent D2D centering senders UE2 Maximum transmission power,The restrictive condition structure of optimum transmission power when the maximization EE of expression phone user and D2D user Into convex set,After optimum transmission power problem conversion when representing the maximization EE of phone user and D2D user Concave function,RepresentPointThe gradient at place,Represent phone user and The convex function after the conversion of optimum transmission power problem during the maximization EE of D2D user,Represent P2Transposition.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711212629.2A CN107979826A (en) | 2017-11-28 | 2017-11-28 | Power distribution method and device in the DAS to communicate under multiplexer mode containing D2D |
CN201810594573.XA CN108777855B (en) | 2017-11-28 | 2018-06-11 | Power distribution method and device applied to DAS and computer readable storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711212629.2A CN107979826A (en) | 2017-11-28 | 2017-11-28 | Power distribution method and device in the DAS to communicate under multiplexer mode containing D2D |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107979826A true CN107979826A (en) | 2018-05-01 |
Family
ID=62012004
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711212629.2A Pending CN107979826A (en) | 2017-11-28 | 2017-11-28 | Power distribution method and device in the DAS to communicate under multiplexer mode containing D2D |
CN201810594573.XA Active CN108777855B (en) | 2017-11-28 | 2018-06-11 | Power distribution method and device applied to DAS and computer readable storage medium |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810594573.XA Active CN108777855B (en) | 2017-11-28 | 2018-06-11 | Power distribution method and device applied to DAS and computer readable storage medium |
Country Status (1)
Country | Link |
---|---|
CN (2) | CN107979826A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109150257A (en) * | 2018-08-07 | 2019-01-04 | 东南大学 | A kind of extensive MIMO Beam Domain security multicast radio transmitting method |
CN109194373A (en) * | 2018-08-16 | 2019-01-11 | 东南大学 | A kind of extensive MIMO Beam Domain joint unicast multicast transmission method |
CN109347527A (en) * | 2018-11-12 | 2019-02-15 | 东南大学 | A kind of extensive MIMO safe transmission method of service quality guarantee |
CN109361435A (en) * | 2018-10-22 | 2019-02-19 | 东南大学 | Extensive multiple-input and multiple-output Beam Domain multicast transmission method |
CN110798895A (en) * | 2019-08-05 | 2020-02-14 | 深圳大学 | Relay excitation method, relay excitation device, electronic apparatus, and storage medium |
WO2021120199A1 (en) * | 2019-12-20 | 2021-06-24 | 深圳大学 | Distributed antenna system, remote access unit, power distribution method, and medium |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2995156B1 (en) * | 2013-05-08 | 2020-12-02 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Improved handling of simultaneous network communication transmission and d2d communication reception or simultaneous network communication reception and d2d communication transmission |
CN103249007B (en) * | 2013-05-24 | 2015-09-02 | 北京邮电大学 | D2D multi-casting communication in IMT-A system is set up and its wireless resource allocation methods |
US10172098B2 (en) * | 2014-05-29 | 2019-01-01 | Telefonaktiebolaget L M Ericsson (Publ) | Power control for mitigating device-to-device interference to adjacent networks |
WO2016076781A1 (en) * | 2014-11-10 | 2016-05-19 | Telefonaktiebolaget L M Ericsson (Publ) | D2d operation approaches in cellular networks |
CN106162855B (en) * | 2016-06-23 | 2019-04-26 | 长沙学院 | It communicates in conjunction with more D2D of subcarrier distribution and power control to resource allocation methods |
CN107249213B (en) * | 2017-05-19 | 2019-09-10 | 东南大学 | A kind of maximized power distribution method of D2D communication Intermediate Frequency spectrum efficiency |
-
2017
- 2017-11-28 CN CN201711212629.2A patent/CN107979826A/en active Pending
-
2018
- 2018-06-11 CN CN201810594573.XA patent/CN108777855B/en active Active
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109150257A (en) * | 2018-08-07 | 2019-01-04 | 东南大学 | A kind of extensive MIMO Beam Domain security multicast radio transmitting method |
CN109150257B (en) * | 2018-08-07 | 2020-06-16 | 东南大学 | Large-scale MIMO beam domain secure multicast wireless transmission method |
CN109194373A (en) * | 2018-08-16 | 2019-01-11 | 东南大学 | A kind of extensive MIMO Beam Domain joint unicast multicast transmission method |
CN109194373B (en) * | 2018-08-16 | 2020-05-05 | 东南大学 | Large-scale MIMO beam domain combined unicast and multicast transmission method |
CN109361435A (en) * | 2018-10-22 | 2019-02-19 | 东南大学 | Extensive multiple-input and multiple-output Beam Domain multicast transmission method |
CN109361435B (en) * | 2018-10-22 | 2020-07-07 | 东南大学 | Large-scale multiple-input multiple-output beam domain multicast transmission method |
CN109347527A (en) * | 2018-11-12 | 2019-02-15 | 东南大学 | A kind of extensive MIMO safe transmission method of service quality guarantee |
CN109347527B (en) * | 2018-11-12 | 2020-06-02 | 东南大学 | Large-scale MIMO (multiple input multiple output) safe transmission method for guaranteeing service quality |
CN110798895A (en) * | 2019-08-05 | 2020-02-14 | 深圳大学 | Relay excitation method, relay excitation device, electronic apparatus, and storage medium |
CN110798895B (en) * | 2019-08-05 | 2023-04-07 | 深圳大学 | Relay excitation method, relay excitation device, electronic apparatus, and storage medium |
WO2021120199A1 (en) * | 2019-12-20 | 2021-06-24 | 深圳大学 | Distributed antenna system, remote access unit, power distribution method, and medium |
Also Published As
Publication number | Publication date |
---|---|
CN108777855A (en) | 2018-11-09 |
CN108777855B (en) | 2020-12-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107979826A (en) | Power distribution method and device in the DAS to communicate under multiplexer mode containing D2D | |
Chen et al. | UAV-assisted data collection with nonorthogonal multiple access | |
CN105162507B (en) | Two benches method for precoding based on letter leakage noise ratio in extensive MIMO FDD systems | |
CN110430613A (en) | Resource allocation methods of the multicarrier non-orthogonal multiple access system based on efficiency | |
Wang et al. | A novel price-based power allocation algorithm in non-orthogonal multiple access networks | |
CN103997775A (en) | Frequency division multiplexing multi-user MIMO energy efficiency optimization method | |
CN108235419A (en) | Poewr control method based on SWIPT in isomery cellular network | |
CN109586759B (en) | A kind of novel full duplex symbiosis communication system | |
CN107276650A (en) | A kind of extensive MIMO mixing precoding efficiency optimization method of multi-user | |
Liu et al. | Power allocation schemes based on machine learning for distributed antenna systems | |
Yu et al. | Power allocation for energy efficient optimization of distributed MIMO system with beamforming | |
CN102291727B (en) | Distributed cooperative beam forming and designing method | |
CN105142225A (en) | Method and system for allocating network resources based on energy effective heterogeneous | |
Nie et al. | Pilot allocation and power optimization of massive MIMO cellular networks with underlaid D2D communications | |
CN105848277B (en) | A kind of spaced antenna energy efficiency optimization method and system based on broadcast channel | |
CN106998222A (en) | The power distribution method of high energy efficiency in a kind of distributing antenna system | |
CN108521672A (en) | A kind of resource allocation methods of distributed wireless energy and the information transmission system | |
WO2019041477A1 (en) | Method and apparatus for power allocation in distributed antenna system with added d2d communication | |
He et al. | Optimal time allocation in multi-cell wireless powered communication networks | |
CN104954055A (en) | Low-complexity efficiency optimization method of multi-user simultaneous information and power transfer system | |
CN111465108A (en) | Efficiency optimization method in energy acquisition D2D heterogeneous network | |
CN103368702B (en) | Fluxion adaptive approach in the distributed interference alignment of WLAN | |
Zeng et al. | Downlink power allocation optimization in pattern division multiple access | |
Li et al. | Online power allocation for sum rate maximization in TDD massive MIMO systems | |
CN109104768A (en) | A kind of non-orthogonal multiple access joint bandwidth and method of rate allocation based on simulated annealing |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180501 |