CN107690180A - Power distribution method and the base station using methods described - Google Patents
Power distribution method and the base station using methods described Download PDFInfo
- Publication number
- CN107690180A CN107690180A CN201610640260.4A CN201610640260A CN107690180A CN 107690180 A CN107690180 A CN 107690180A CN 201610640260 A CN201610640260 A CN 201610640260A CN 107690180 A CN107690180 A CN 107690180A
- Authority
- CN
- China
- Prior art keywords
- system capacity
- power
- user equipment
- transimission power
- transimission
- 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.)
- Granted
Links
Classifications
-
- 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
-
- 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
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/34—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading
- H04W52/346—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading distributing total power among users or channels
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
This disclosure relates to a kind of power distribution method and the base station using methods described, the base station for transmitting a message at least two user equipmenies is accessed in (non orthogonal multiple access, NOMA) system suitable for Non-orthogonal Multiple.Disclosed method comprises the following steps：The first transimission power for configuring the first user equipment is less than the second transimission power of second user equipment, wherein the channel gain of the first user equipment is more than second user equipment；The first system capacity of the first user equipment is calculated according to the first transimission power, and the second system capacity of second user equipment is calculated according to the second transimission power；The first system capacity is added to obtain total system capacity with second system capacity；And calculate the first transimission power and the second transimission power in the case where maximizing total system capacity.
Description
Technical field
This disclosure relates to a kind of power distribution method, and it is more particularly to a kind of in Non-orthogonal Multiple access (non-
Orthogonal multiple access, NOMA) power distribution method in downlink transmission system and use methods described
Base station.
Background technology
With the development of science and technology, the significantly improving in terms of capacity due to NOMA systems, it turns into next generation communication system
The prospect technology of system development.
Among NOMA systems, user's multiplexing can be carried out in power domain.Specifically, the data-signal of different user
Can in transmission end by appropriate power distribution by superposition (for example, using superposition coding techniques), and can be used in receiving terminal
Continuity interference eliminates (successive interference cancellation, SIC) technology by comprehensive multi-user
Signal separator comes.Therefore, different user can be by identical channel resource (for example, time and frequency among NOMA systems
Rate) transmission (or reception) data.
However, preferable assessment level there is no to can be used to develop the applicable power distribution algorithm of NOMA systems at present.
Although in the multiple-input and multiple-output with two users-Non-orthogonal Multiple access (multiple-input
Multiple-output non-orthogonal multiple access, MIMO-NOMA) in system, propose to consider
The minimum transfer rate demand (minimum rate requirement) of weak user maximizes the power configuration algorithm of total capacity,
But one of them, which has the method for best efficiency, (that is, is changed using two points of (bisection) method for searching of high computation complexity
For algorithm), and another is to reduce the sub-optimal side of complexity based on the lower bound (lower bound) for obtaining weak user capacity
Method, but still there are some property loss of energies.
Therefore it provides NOMA systems are efficient and dynamical power distribution algorithm is still interested in those skilled in the art
One of subject under discussion.
The content of the invention
The disclosure provides a kind of power distribution method and the base station using methods described, and news are transmitted suitable for NOMA systems
Cease the base station at least two user equipmenies.At least two user equipment is set including the first user equipment with second user
It is standby.The method comprises the following steps：The first transimission power for configuring the first user equipment is less than the second biography of second user equipment
Defeated power, wherein the channel gain of the first user equipment is more than second user equipment；First is calculated according to the first transimission power to use
The first system capacity of family equipment, and according to the second system capacity of the second transimission power calculating second user equipment；By first
Power system capacity is added with second system capacity to obtain total system capacity；First is calculated in the case where maximizing total system capacity
Transimission power and the second transimission power, wherein needing-Ku En-Plutarch (Karush-Kuhn-Tucker, KKT) condition to take using Caro
The first transimission power and the second transimission power of total system capacity must be maximized.
It is above-mentioned that the first transmission work(for maximizing total system capacity is obtained using KKT conditions in an embodiment of the disclosure
Rate includes with the step of the second transimission power：It is the first minimum transfer rate demand to set the first system capacity, wherein first is minimum
Transfer rate demand is the minimum value that the first system capacity must reach；Calculated using KKT conditions and maximize the first of total system capacity
Power allocation factor；And calculate the first transimission power and the second transimission power according to the first power allocation factor.
In an embodiment of the disclosure, above-mentioned KKT conditions include the first parameter and the second parameter, wherein using KKT
The step of condition calculating maximizes the first power allocation factor of total system capacity also includes：First parameter is set more than zero, and
The second parameter is set to be equal to zero；And the first power allocation factor for maximizing total system capacity is calculated according to KKT conditions.
In an embodiment of the disclosure, above-mentioned steps also include：Taken according to the first transimission power with the second transimission power
Obtain the first system capacity and second system capacity；And the first system capacity is added to obtain total system with second system capacity
Capacity.
It is above-mentioned that the first transmission work(for maximizing total system capacity is obtained using KKT conditions in an embodiment of the disclosure
Rate includes with the step of the second transimission power：It is the second minimum transfer rate demand to set second system capacity, wherein second is minimum
Transfer rate demand is the minimum value that second system capacity must reach；Calculated using KKT conditions and maximize the second of total system capacity
Power allocation factor；And calculate the first transimission power and the second transimission power according to the second power allocation factor.
In an embodiment of the disclosure, above-mentioned KKT conditions include the first parameter and the second parameter, wherein using KKT
The step of condition calculating maximizes the second power allocation factor of total system capacity also includes：First parameter is set equal to zero, and
The second parameter is set to be more than zero；And the second power allocation factor for maximizing total system capacity is calculated according to KKT conditions.
In an embodiment of the disclosure, above-mentioned steps also include：Taken according to the first transimission power with the second transimission power
Obtain the first system capacity and second system capacity；And the first system capacity is added to obtain total system with second system capacity
Capacity.
The disclosure provides a kind of base station, suitable for NOMA systems.This base station includes transmission circuit, storage circuit and processing electricity
Road.Transmission circuit is used to transmit a message at least two user equipmenies wherein at least two user equipment includes first
Family equipment and second user equipment.Storage circuit stores multiple program codes.Process circuit couples transmission circuit and storage circuit,
And access program code is configured to perform following operation：The first transimission power for configuring the first user equipment is less than second
Second transimission power of user equipment, wherein the channel gain of the first user equipment is more than second user equipment；Passed according to first
The first system capacity of the defeated user equipment of power calculation first, and calculate the second of second user equipment according to the second transimission power
Power system capacity；The first system capacity is added to obtain total system capacity with second system capacity；And maximizing total system
The first transimission power and the second transimission power are calculated in the case of capacity, is held wherein being obtained using KKT conditions and maximizing total system
First transimission power of amount and the second transimission power.
In an embodiment of the disclosure, above-mentioned process circuit further accesses described program code to perform：Set the
One power system capacity is the first minimum transfer rate demand, must be reached most wherein the first minimum transfer rate demand is the first system capacity
Small value；The first power allocation factor for maximizing total system capacity is calculated using KKT conditions；And according to the first power distribution because
Son calculates the first transimission power and the second transimission power.
In an embodiment of the disclosure, above-mentioned KKT conditions include the first parameter and the second parameter.Process circuit enters one
Step accesses described program code to perform：Set the first parameter to be more than zero, and set the second parameter to be equal to zero；And according to KKT
Condition calculates the first power allocation factor for maximizing total system capacity.
In an embodiment of the disclosure, above-mentioned process circuit further accesses described program code to perform：Foundation
First transimission power obtains the first system capacity and second system capacity with the second transimission power；And by the first system capacity with
Second system capacity is added to obtain total system capacity.
In an embodiment of the disclosure, above-mentioned process circuit further accesses described program code to perform：Set
Second system capacity is the second minimum transfer rate demand, wherein the second minimum transfer rate demand is what second system capacity must reach
Minimum value；The second power allocation factor for maximizing total system capacity is calculated using KKT conditions；And according to the second power distribution
The factor calculates the first transimission power and the second transimission power.
In an embodiment of the disclosure, above-mentioned KKT conditions include the first parameter and the second parameter.Process circuit enters one
Step accesses described program code to perform：Set the first parameter to be equal to zero, and set the second parameter to be more than zero；And according to KKT
Condition calculates the second power allocation factor for maximizing total system capacity.
In an embodiment of the disclosure, above-mentioned process circuit further accesses described program code to perform：Foundation
First transimission power obtains the first system capacity and second system capacity with the second transimission power；And by the first system capacity with
Second system capacity is added to obtain total system capacity.
Based on above-mentioned, the power distribution method of the disclosure and the base station using methods described, base station can be in response to different use
The demand of family equipment, the power distribution of user equipment is divided into two kinds of situations, this two kinds of situations can all ensure that associated user sets
Standby power system capacity reaches minimum transfer rate demand, and can maximize the power system capacity of another user equipment simultaneously.
For allow the disclosure features described above and advantage can become apparent, special embodiment below, and it is detailed to coordinate accompanying drawing to make
Carefully it is described as follows.
Brief description of the drawings
Fig. 1 illustrates the schematic diagram that user uses SIC technologies in receiving terminal.
Fig. 2 is that an embodiment of the foundation disclosure illustrates the block diagram of base station.
Fig. 3 is that an embodiment of the foundation disclosure illustrates the flow chart of power distribution method.
Fig. 4 is to illustrate work(performed by the power system capacity for paying the utmost attention to the first user equipment according to an embodiment of the disclosure
The flow chart of rate distribution method.
Fig. 5 is to illustrate work(performed by the power system capacity for paying the utmost attention to second user equipment according to an embodiment of the disclosure
The flow chart of rate distribution method.
Fig. 6 illustrates power system capacity or total system capacity the showing to the analog result of signal noise ratio (SNR) of user equipment
It is intended to.
Fig. 7 illustrate user equipment power system capacity or total system capacity to the schematic diagram of SNR analog result.
In the case that Fig. 8 is shown in different antennae number, using the total system capacity of different capacity distribution method to SNR mould
Intend the schematic diagram of result.
【Symbol description】
100：Downlink system
110：Base station
121、122：User equipment
130：Covering scope
141、142、143：Block
210：Transmission circuit
220：Storage circuit
230：Process circuit
S310、S320、S330、S340、S410、S420、S430、S510、S520、S530：Step
Embodiment
Among NOMA systems, base station can on power domain (power-domain) by the same communication resource (for example, time domain
Or frequency domain etc.) be shared with multiple users and be used in conjunction with, effectively to lift frequency spectrum effective utilization.Specifically, base station passes through
It is intended to send to the signal of multiple users using superimposed coding (superposition coding) superposition and transmits.Multiple users
SIC technologies can be used by the Signal separator of user in receiving terminal.On the SIC technologies that are used in NOMA systems by reference picture 1
To explain.
Fig. 1 illustrates the schematic diagram that user uses SIC technologies in receiving terminal.It refer to Fig. 1, it is assumed that Fig. 1 downlink system
System 100 has base station 110 and two user equipmenies 121,122, and user equipment 121,122 is located at the covering scope 130 of base station 110
It is interior, wherein assume that user equipment 121 has larger channel gain, and user equipment 122 has less channel gain.
In SIC technologies, passed in order to correctly demodulate base station 110 in receiving terminal (that is, user equipment 121,122)
The signal sent, base station 110 can carry out power distribution to the signal for sending user equipment 121,122 to, wherein the letter for weak user
Number more transimission power of configuration, and be that the signal of strong user configures less transimission power.
In the present embodiment, user equipment 121 of the definition with larger passage gain is strong user, and is defined with smaller
The user equipment 122 of channel gain is weak user.Therefore, base station 110 will configure more transmission for the signal of user equipment 122
Power, and be that the signal of user equipment 121 configures less transimission power.Then, base station 110 passes to user equipment 121,122
The signal sentSuch as it is represented by below equation (1).
Wherein s1It is expressed as the signal of the user equipment 121 to be sent to of base station 110, s2It is expressed as 110 use to be sent to of base station
The signal of family equipment 122, and P1And P2Then represent base station 110 to signal s respectively1And s2Transimission power distribution, wherein transmitting work(
Rate P1Less than P2。
In the signal y that user equipment 121,122 ends receive1And y2Below equation (2) and (3) can be then expressed as.
Wherein h1The transmission channel being expressed as between base station 110 and user equipment 121, h2It is expressed as base station 110 and user sets
Transmission channel between standby 122, n1And n2The noise that user equipment 121 and 122 receives, wherein n are then represented respectively1And n2Example
Such as it is additive white Gaussian noise (additive white Gaussian noise, AWGN), but disclosure not limited to this.
In SIC technologies, it is assumed that user equipment 121 receives signal y1It can will come from user in perfect SIC methods afterwards
The signal s of equipment 1222Interference remove (for example, Fig. 1 block 141), user equipment 121 can be in the interference without other users
In the case of signal, the signal s of the user equipment 121 to be sent to of base station 110 is demodulated1(for example, Fig. 1 block 142).It is another
Aspect, user equipment 122 receive signal y2Afterwards, because base station 110 is by signal s1Configure less transimission power P1So that use
Family equipment 122 can be by signal s1The letter of the user equipment 122 to be sent to of base station 110 is directly demodulated in the case of being considered as noise
Number s2(for example, Fig. 1 block 143).
Successfully demodulating signal s1And s2Afterwards, the power system capacity of user equipment 121 and 122 can be expressed as with
Lower equation (4) and (5).
C1=log2(1+P1|h1|2/N0), equation (4)
C2=log2(1+P2|h2|2/(P1|h2|2+N0)) equation (5)
It is worth noting that, according to equation (4) and (5), the power system capacity C of user equipment 121 and 122 is shown1、C2
With transimission power P1、P2It is relevant.That is, for signal s1、s2Power distribution will directly influence user equipment 121,
122 power system capacity.Therefore, the appropriate signal s for user equipment 121,122 to be transferred to1、s2Power distribution is performed, for
It is considerable for the power system capacity of user equipment 121,122.
, will be can in order to further lift the total system capacity of NOMA systems in embodiment of the disclosure
It is signal s in the case of maximizing total system capacity and having the limitation of user's power and transfer rate demand1And s2Distribution transmission
Power P1And P2。
In the case, total system capacity C is maximizedT(wherein CT=C1+C2) optimization problem, can be expressed as：
Limit P1+P2=PTEquation (6b)
P1>0,P2>0,P2>P1Equation (6c)
Wherein PTRepresent overall transmission power,Represent power system capacity C1Minimum transfer rate demand,Represent power system capacity C2
Minimum transfer rate demand.On equation (6c), the principle according to NOMA systems is represented, by the use with smaller channels gain
Family equipment 122 configures more transimission power P2, and the user equipment 121 with larger passage gain is configured into less transmission
Power P1So that P2>P1.On equation (6d), represent that the power system capacity of each user equipment has to comply with corresponding demand
Measure to ensure the service quality in NOMA systems (quality of service, QoS) requirement.
Total system capacity C is maximized in order to verifyTOptimization problem have solution really, the embodiment of the present disclosure proves total system
Capacity CTFor a strictly increasing function.In the present embodiment, relative to overall transmission power PT, will be in transimission power P1And P2Between
Define a power allocation factor α (wherein 0<α<1) so that P1=α PTAnd P2=(1- α) PT.By the transimission power P1And P2Generation
Enter equation (4) and (5), total system capacity CT, can be expressed as：
CT=C1+C2=log2(1+f (α)) equation (7)
Wherein
According to equation (7), total system capacity C is maximizedTOptimization problem be equal to and maximize in equation (7)
f(α).Base this, maximize total system capacity CTOptimization problem can be expressed as again：
Limit μ1 -1φ1≤α≤(1-μ2 -1φ2)/(1+φ2) equation (8b)
WhereinIt should be noted that equation (8b)
The upper bound and lower bound all must be less than 1/2 to meet the principle of NOMA systems.Therefore, following two conditions will be derived to set
φ1And φ2：
φ1<(PT|h1|2)/2N0Equation (9)
φ2>(PT|h2|2)/(PT|h2|2+2N0) equation (10)
Next, differential is carried out to equation f (α), it is as follows：
According to equation (11), due to | h1|2>|h2|2, the slope that can be derived from equation f (α) is a positive number.Namely
Say, equation f (α) is a strictly increasing function.When power allocation factor α value it is very close 1 when, can obtain equation f (α)
Maximum.However, when power allocation factor α value it is very close 1 when, the transimission power P of user equipment 122 will be caused2Become
It is bordering on 0 so that the power system capacity C of user equipment 1222Also close to 0.This result will be caused to 122 inequitable biography of user equipment
It is defeated.
Therefore, the disclosure will propose a kind of power distribution method, can maximize power system capacity and user be present
In the case of the limitation of power and transfer rate demand, appropriate power distribution can be carried out to user equipment 121 and 122.
In the present embodiment, the power distribution method can be applied to the downlink system 100 shown in Fig. 1.Need to note
Meaning, although Fig. 1 is explained exemplified by only illustrating two user equipmenies 121 and 122, the disclosure can expand to more use
Family equipment.In addition, base station 110 and user equipment 121 and 122 can be each configured with M root antennas, to form MIMO-NOMA
Downlink system 100, wherein M can be it is any be more than 1 positive integer, but the disclosure is not limited to this.However, following
Embodiment in, the base station 110 of the embodiment of the present disclosure and user equipment 121 and 122 only with single antenna system come inquire on
The problem of power distribution, in order to illustrate.
In the present embodiment, user equipment 121,122 can be for example realized as (but not limited to) movement station, advanced movement station
(advanced mobile station, AMS), server, user terminal, desktop PC, laptop computer, network meter
Calculation machine, work station, personal digital assistant (personal digital assistant, PDA), tablet PC (tablet
Personal computer, tablet PC), scanner, telephone device, pager, camera, TV, handheld video game
Device, music apparatus, wireless senser etc., the disclosure has limited not to this.
Base station 110 can be including (but not limited to) for example, eNB, family expenses eNB (Home eNB), advanced base station (advanced
Base station, ABS), base station transceiver system (base transceiver system, BTS), access point, one's original domicile base station
(home BS), repeater, intermediate node, intermediate equipment and/or satellite-based communication base station, but the disclosure is implemented
Mode is not limited to this.
In the present embodiment, base station 110 can at least be expressed as function element as shown in Figure 2.Fig. 2 is according to the disclosure
The block diagram of base station that illustrates of an embodiment.Base station 110 can comprise at least (but not limited to) transmission circuit 210, storage circuit
220 and process circuit 230.Transmission circuit 210 can include transmitter circuit, analog to digital (analog-to-digital, A/D)
Converter, D/A converter, low noise amplification, mixing, filtering, impedance matching, transmission line, power amplification, one or more antenna electrics
Road and local storage medium element (but the disclosure is not limited to this), with for base station 110 provide Wireless transceiver/receive capabilities to
Family equipment 121 and 122.Storage circuit 220 e.g. memory, hard disk or any other element to data storage, and can
It is configured to store multiple program codes.
Process circuit 230 couples transmission circuit 210 and storage circuit 220, and it can be general service processor, specific use
Processor, traditional processor, digital signal processor, multi-microprocessor (microprocessor), one or more knots
Close microprocessor, controller, microcontroller, the ASIC (application of digital signal processing core
Specific integrated circuit, ASIC), field programmable gate array (field programmable
Gate array, FPGA), the integrated circuit of any other species, state machine, based on advanced reduced instruction set machine
The processor of (advanced RISC machine, ARM) and similar product.
In the present embodiment, process circuit 330 can access and perform the multiple program generations being stored in storage circuit 220
Code, to perform each step of the power distribution method of disclosure proposition.Fig. 3 is the work(illustrated according to an embodiment of the disclosure
The flow chart of rate distribution method.Fig. 1-3 is refer to, Fig. 3 method can be performed by Fig. 2 base station 110, and the institute suitable for Fig. 1
The downlink system 100 shown.Illustrate each of Fig. 3 power distribution methods hereinafter with reference to each element of base station in Fig. 2 110
Individual step.
In the step 310, process circuit 230 configures the transimission power P of user equipment 1211Less than the biography of user equipment 122
Defeated power P2, the wherein channel gain of user equipment 121 is more than user equipment 122.
In this example, it is assumed that h1The transmission channel being expressed as between base station 110 and user equipment 121, h2It is expressed as base
The transmission channel stood between 110 and user equipment 122, and assume that user equipment 121 has larger channel gain, and user sets
Standby 122 have less channel gain (that is, | h1|2>|h2|2).In order to make in receiving terminal (that is, user equipment 121,122)
With SIC technologies correctly demodulate base station 110 transmit signal, by the user equipment 122 with smaller channels gain configure compared with
More transimission power P2, and the user equipment 121 with larger passage gain is configured to less transimission power P1.In this situation
Under, the transimission power P of user equipment 1211Less than the transimission power P of user equipment 1222(that is, P1<P2)。
In step 320, according to transimission power P1Calculate the power system capacity C of user equipment 1211, and according to transimission power P2
Calculate the power system capacity C of user equipment 1222.In the present embodiment, power system capacity C1And C2Representation see respectively
State the equation (4) referred to and (5).
In a step 330, by power system capacity C1And C2It is added to obtain total system capacity CT, i.e. CT=C1+C2。
In step 340, process circuit 230 calculates transimission power P in the case where maximizing total system capacity1And P2, its
The middle transmission for needing-Ku En-Plutarch (Karush-Kuhn-Tucker, KKT) condition to obtain maximization total system capacity using Caro
Power P1And P2。
In the present embodiment, in order to reach two 121 and 122 qos requirements in NOMA systems of user equipment, maximize
Total system capacity CT(wherein CT=C1+C2) optimization problem, user's power and minimum transfer rate will be preset in limitation
Transimission power P is distributed in the case of demand1And P2.On maximizing total system capacity CT(wherein CT=C1+C2) optimization
The representation of problem, it see above-mentioned equation (8a)~(8b).
In addition, in the present embodiment, the transimission power P of maximization total system capacity will be obtained using KKT conditions1And P2.Close
It is as follows in KKT conditions：
Wherein g (α)=- f (α)≤0, and λ1,λ2Respectively restrictive conditionLagrange's multiplier
(Lagrange multiplier).For the condition i) in equation (12), can be expressed as：
For λ2>0 and λ1>0, the condition ii in equation (12)) and must iii) meet, to obtain power allocation factor α.
In λ1>λ is set in the case of 02=0, can be from the condition ii in equation (12)) power allocation factor α is obtained, it is as follows：
On the other hand, in λ2>λ is set in the case of 01=0, can be from the condition iii in equation (12)) obtain power point
It is as follows with factor-alpha：
In other words, as the power and minimum transfer rate demand that consider two user equipmenies, optimal power allocation factor α
Can be different according to power and the minimum transfer rate demand of user equipment.For example, in order that power system capacity C1Can
Reach minimum transfer rate demand(i.e.,), power allocation factor α have to be larger than or equal to φ1/μ1.On the contrary, in order to
Make power system capacity C2Minimum transfer rate demand can be reached(i.e.,), power allocation factor α is necessarily less than or is equal to
[1/(1+φ2)][1-φ2/μ2].Base this,The power system capacity C of user equipment 121 can be ensured1Meet minimum transfer rate demandAnd the power system capacity C of user equipment 122 can be maximized2, andThe power system capacity C of user equipment 122 can be ensured2Meet most
Low transfer rate demandAnd the power system capacity C of user equipment 121 can be maximized1。
In the case, step 340 more extends two methods to obtain transimission power P1And P2.In order to illustrate described two
Kind of method, the disclosure step S340 is subdivided into more detail Fig. 4 step S410~S430 and Fig. 5 step S510~
S530。
Fig. 4 is to illustrate work(performed by the power system capacity for paying the utmost attention to user equipment 121 according to an embodiment of the disclosure
The flow chart of rate distribution method.
In step S410, process circuit 230 sets power system capacity C1For minimum transfer rate demandWherein minimum transmission
Rate demandFor power system capacity C1The minimum value that must reach.
In the step s 420, process circuit 230 is calculated using KKT conditions and maximizes total system capacity CTThe first power point
With the factorIn the present embodiment, will be according to the KKT condition settings λ in equation (12)1>0 and λ2=0, to calculate maximum
Change total system capacity CTThe first power allocation factor, can be direct according to equation (14) in an embodiment of the disclosure
Calculate the first power allocation factor
In step S430, process circuit 230 is according to the first power allocation factorCalculate transimission power P1And P2.At this
In embodiment, due to transimission powerAnd transimission powerTherefore obtaining the first power allocation factorTransimission power P can be calculated respectively afterwards1And P2。
Next, process circuit 230 can be according to transimission power P1And P2Obtain power system capacity C1(according to equation (4))
With power system capacity C2(according to equation (5)), and by power system capacity C1With power system capacity C2It is added to obtain total system capacity CT。
In another embodiment, Fig. 5 is that an embodiment of the foundation disclosure illustrates the system for paying the utmost attention to user equipment 122
The flow chart of power distribution method performed by capacity.
In step S510, process circuit 230 sets power system capacity C2For minimum transfer rate demandWherein minimum transmission
Rate demandFor power system capacity C2The minimum value that must reach.
In step S520, process circuit 230 is calculated using KKT conditions and maximizes total system capacity CTThe second power point
With the factorIn the present embodiment, will be according to the KKT condition settings λ in equation (12)1=0 and λ2>0, maximized with calculating
Total system capacity CTThe second power allocation factorIn an embodiment of the disclosure, can directly it be counted according to equation (15)
Calculate the second power allocation factor
In step S530, process circuit 230 is according to the second power allocation factorCalculate transimission power P1And P2.At this
In embodiment, due to transimission powerAnd transimission powerTherefore obtaining the second power allocation factorTransimission power P can be calculated respectively afterwards1And P2。
Next, process circuit 230 can be according to transimission power P1And P2Obtain power system capacity C1(according to equation (4))
With power system capacity C2(according to equation (5)), and by power system capacity C1With power system capacity C2It is added to obtain total system capacity CT。
In short, the power distribution method of the embodiment of the present disclosure, the biography for maximizing total system capacity is obtained using KKT conditions
Defeated power, wherein optimal transmission work(can be drawn by under different situations, presetting the transfer rate demand of a certain user equipment
Rate is distributed, and can maximize the power system capacity of another user equipment.
Fig. 6 and Fig. 7 illustrate user equipment power system capacity or total system capacity to signal noise ratio (SNR) analog result
Schematic diagram.This analog result is illustrating the effect of power distribution method that the embodiment of the present disclosure is proposed.In Fig. 6 and Fig. 7
In trunnion axis represent SNR in units of dB, and it with every Hertz per second digit (or making bps/Hz) be that unit measures that vertical axis, which is,
Capacity (capacity).
It should be noted that the analog result in Fig. 6 and Fig. 7 is by average 105Passage realize.SNR is defined as PT/N0。
It is assumed herein that AWGN is 1 (that is, N in the variance of each node0=1), and all passages be from average value be 0 and make a variation
Number isComplex Gaussian random variable in independent taking-up, be provided withFor 20dB andFor 10dB.Fig. 6 and
Fig. 7 all using the orthogonal power system capacities re-accessed in (orthogonal multiple access, OMA) Transmission system more with
For the disclosure as comparing, the power system capacity of nth user's equipment wherein in OMA Transmission systems is represented by Cn,OMA=(1/2)
log2(1+(Pn,OMA|hn|2)/(1/2)N0).In addition, the transimission power P in OMA Transmission systemsn,OMAIt is via total power search
(Full-Search) method, power system capacity and user's power and transfer rate demand are maximized to reach.Solid line is representing this
The NOMA power distribution methods that open embodiment proposes, dotted line is then representing the power distribution method of OMA total power searches.
Among described two power distribution methods, minimum transfer rate demand is all assumedFor 1bps/Hz and minimum transfer rate demandFor
2bps/Hz, and applied among single antenna system.C1,NOMAAnd C2,NOMARespectively representing the embodiment of the present disclosure in NOMA systems
The power system capacity of strong user and weak user in system.Similarly, C1,OMAAnd C2,OMARespectively representing the strong user in OMA systems
With the power system capacity of weak user.
Fig. 6 is refer to, analog result shows C2,NOMAAll have meet minimum transfer rate demand C~2For 1bps/Hz.Although
C2,NOMALess than C2,OMA, but due to C1,NOMAMore than C1,OMA, the total capacity for causing NOMA systems is more than the total capacity of OMA systems
(that is, C1,NOMA+C2,NOMA>C1,OMA+C2,OMA).Similarly, Fig. 7 is refer to, analog result shows C1,NOMAAll have meet it is minimum
Transfer rate demandFor 2bps/Hz, and due to C2,NOMAMuch larger than C2,OMA, i.e., significantly improving weak user in NOMA systems is
System capacity, the total capacity of NOMA systems will be caused to be more than total capacity (that is, the C of OMA systems1,NOMA+C2,NOMA>C1,OMA+C2,OMA)。
On the other hand, Fig. 8 is shown among mimo system using simulation of the total capacity of different capacity distribution method to SNR
As a result schematic diagram.Power distribution method that Fig. 8 proposes the embodiment of the present disclosure and the iterative algorithm mentioned in the prior art with
And the sub-optimal power distribution method of low complex degree compares.Fig. 8 is refer to, what label "○" proposed to represent the embodiment of the present disclosure
Power distribution method (that is, the NOMA-PA of proposition), label " ╳ " to represent using iterative algorithm power distribution method (i.e.,
Iteration NOMA-PA), label " △ " is then representing to use sub-optimal power distribution method (that is, sub-optimal NOMA-PA).In addition, M
To represent the number of antenna.Analog result shows that the method that the embodiment of the present disclosure proposes can reach than sub-optimal power distribution method
More preferably show, and can reach with iterative algorithm similar in power system capacity.
In addition, the comparison on complexity, for single antenna system, needed for the method that the embodiment of the present disclosure proposes
Multiplication/division number be respectively 3 and 5, and iterative algorithm and the multiplication/division number point needed for sub-optimal power distribution method
Not Wei 3N and 5, wherein N represent iteration number.For multiaerial system, similar result is also obtained.According to
This, can verify the power distribution method that the embodiment of the present disclosure is proposed has relatively low computation complexity.
In summary, the power distribution method of the embodiment of the present disclosure and the base station using methods described, base station can be in response to
The minimum transfer rate demand of different user devices, the power distribution of user equipment is divided into two kinds of situations, that is, preset a certain
The minimum transfer rate demand of user equipment, optimal transimission power distribution is drawn, and can reach and maximize another user equipment
Power system capacity.In addition, the method that the embodiment of the present disclosure proposes not only has relatively low compared to the result that iterative algorithm is drawn
Computation complexity outside, analog result more shows that both efficiency is very similar.
Although the disclosure is disclosed as above with embodiment, so it is not limited to the disclosure, and those skilled in the art exist
Do not depart from spirit and scope of the present disclosure, when can make a little change and retouching, therefore the protection domain of the disclosure is appended when regarding
Claims confining spectrum is defined.
Claims (14)
1. a kind of power distribution method, at least two user equipmenies are transmitted a message to suitable for Non-orthogonal Multiple access system
Base station, wherein at least two user equipment includes the first user equipment and second user equipment, it is characterised in that including：
The first transimission power for configuring first user equipment is less than the second transimission power of the second user equipment, wherein
The channel gain of first user equipment is more than the second user equipment；
The first system capacity of first user equipment is calculated according to first transimission power, and according to the described second transmission
The second system capacity of second user equipment described in power calculation；
The first system capacity is added to obtain total system capacity with the second system capacity；
First transimission power and second transimission power are calculated in the case where maximizing the total system capacity, wherein
First transimission power and described second for maximizing the total system capacity is obtained using Caro need-Kuhn-Tucker condition
Transimission power.
2. power distribution method as claimed in claim 1, wherein described obtain maximum using Caro need-Kuhn-Tucker condition
Change first transimission power of the total system capacity includes with the step of second transimission power：
It is the first minimum transfer rate demand to set the first system capacity, wherein the first minimum transfer rate demand is described
The minimum value that the first system capacity must reach；
The first power allocation factor for maximizing the total system capacity is calculated using Caro need-Kuhn-Tucker condition；And
First transimission power and second transimission power are calculated according to first power allocation factor.
3. power distribution method as claimed in claim 2, the Caro need-Kuhn-Tucker condition includes the first parameter and the
Two parameters, wherein described calculate first power for maximizing the total system capacity using Caro need-Kuhn-Tucker condition
The step of distribution factor, also includes：
Set first parameter to be more than zero, and set second parameter to be equal to zero；And
Calculated according to the Caro need-Kuhn-Tucker condition maximize first power distribution of the total system capacity because
Son.
4. power distribution method as claimed in claim 2, in addition to：
The first system capacity and the second system are obtained according to first transimission power and second transimission power
Capacity；And
The first system capacity is added to obtain the total system capacity with the second system capacity.
5. power distribution method as claimed in claim 1, wherein described obtain maximum using Caro need-Kuhn-Tucker condition
Change first transimission power of the total system capacity includes with the step of second transimission power：
It is the second minimum transfer rate demand to set the second system capacity, wherein the second minimum transfer rate demand is described
The minimum value that second system capacity must reach；And
The second power allocation factor for maximizing the total system capacity is calculated using Caro need-Kuhn-Tucker condition；
First transimission power and second transimission power are calculated according to second power allocation factor.
6. power distribution method as claimed in claim 5, the Caro need-Kuhn-Tucker condition includes the first parameter and the
Two parameters, wherein described calculate second power for maximizing the total system capacity using Caro need-Kuhn-Tucker condition
The step of distribution factor, also includes：
Set first parameter to be equal to zero, and set second parameter to be more than zero；And
Calculated according to the Caro need-Kuhn-Tucker condition maximize second power distribution of the total system capacity because
Son.
7. power distribution method as claimed in claim 5, in addition to：
The first system capacity and the second system are obtained according to first transimission power and second transimission power
Capacity；And
The first system capacity is added to obtain the total system capacity with the second system capacity.
8. a kind of base station, suitable for Non-orthogonal Multiple access system, it is characterised in that the base station includes：
Transmission circuit, to transmit a message at least two user equipmenies, wherein at least two user equipment includes first
User equipment and second user equipment；
Storage circuit, store multiple program codes；And
Process circuit, the transmission circuit and the storage circuit are coupled, and be configured to access described program code to hold
The following operation of row：
The first transimission power for configuring first user equipment is less than the second transimission power of the second user equipment, wherein
The channel gain of first user equipment is more than the second user equipment；
The first system capacity of first user equipment is calculated according to first transimission power, and according to the described second transmission
The second system capacity of second user equipment described in power calculation；
The first system capacity is added to obtain total system capacity with the second system capacity；
First transimission power and second transimission power are calculated in the case where maximizing the total system capacity, wherein
First transimission power and described second for maximizing the total system capacity is obtained using Caro need-Kuhn-Tucker condition
Transimission power.
9. base station as claimed in claim 8, wherein the process circuit further accesses described program code to perform：
It is the first minimum transfer rate demand to set the first system capacity, wherein the first minimum transfer rate demand is described
The minimum value that the first system capacity must reach；
The first power allocation factor for maximizing the total system capacity is calculated using Caro need-Kuhn-Tucker condition；And
First transimission power and second transimission power are calculated according to first power allocation factor.
10. base station as claimed in claim 9, wherein the Caro need-Kuhn-Tucker condition includes the first parameter and the second ginseng
Number, the process circuit further access described program code to perform：
Set first parameter to be more than zero, and set second parameter to be equal to zero；And
Calculated according to the Caro need-Kuhn-Tucker condition maximize first power distribution of the total system capacity because
Son.
11. base station as claimed in claim 9, wherein the process circuit further accesses described program code to perform：
The first system capacity and the second system are obtained according to first transimission power and second transimission power
Capacity；And
The first system capacity is added to obtain the total system capacity with the second system capacity.
12. base station as claimed in claim 8, wherein the process circuit further accesses described program code to perform：
It is the second minimum transfer rate demand to set the second system capacity, wherein the second minimum transfer rate demand is described
The minimum value that second system capacity must reach；And
The second power allocation factor for maximizing the total system capacity is calculated using Caro need-Kuhn-Tucker condition；
First transimission power and second transimission power are calculated according to second power allocation factor.
13. base station as claimed in claim 12, wherein the Caro need-Kuhn-Tucker condition includes the first parameter and second
Parameter, the process circuit further access described program code to perform：
Set first parameter to be equal to zero, and set second parameter to be more than zero；And
Calculated according to the Caro need-Kuhn-Tucker condition maximize second power distribution of the total system capacity because
Son.
14. base station as claimed in claim 12, wherein the process circuit further accesses described program code to perform：
The first system capacity and the second system are obtained according to first transimission power and second transimission power
Capacity；And
The first system capacity is added to obtain the total system capacity with the second system capacity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610640260.4A CN107690180B (en) | 2016-08-05 | 2016-08-05 | Power allocation method and base station using the same |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610640260.4A CN107690180B (en) | 2016-08-05 | 2016-08-05 | Power allocation method and base station using the same |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107690180A true CN107690180A (en) | 2018-02-13 |
| CN107690180B CN107690180B (en) | 2020-12-25 |
Family
ID=61151137
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610640260.4A Active CN107690180B (en) | 2016-08-05 | 2016-08-05 | Power allocation method and base station using the same |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107690180B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108632976A (en) * | 2018-03-21 | 2018-10-09 | 清华大学 | A kind of resource allocation methods and device |
| CN111030771A (en) * | 2018-10-09 | 2020-04-17 | 王晋良 | User equipment selection method in non-orthogonal multiple access system and base station thereof |
| CN114390658A (en) * | 2020-10-22 | 2022-04-22 | 王晋良 | Power distribution method and base station in non-orthogonal multiple access system |
| CN117560049A (en) * | 2023-05-11 | 2024-02-13 | 武汉能钠智能装备技术股份有限公司四川省成都市分公司 | Satellite ground station relay forwarding system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104640220A (en) * | 2015-03-12 | 2015-05-20 | 重庆邮电大学 | Frequency and power distributing method based on NOMA (non-orthogonal multiple access) system |
| CN104812047A (en) * | 2015-02-12 | 2015-07-29 | 东南大学 | Interference cost information based multi-cell power distribution method for WiFi of next generation |
| US20160100413A1 (en) * | 2014-10-07 | 2016-04-07 | Mediatek Inc. | Signaling of Network-Assisted Intra-Cell Interference Cancellation and Suppression |
| CN105592408A (en) * | 2016-03-04 | 2016-05-18 | 山东大学 | Distribution method of D2D communication system resource under cellular network with incomplete channel information |
| CN105704820A (en) * | 2015-12-31 | 2016-06-22 | 北京邮电大学 | Power distribution method and device in non-orthogonal multiple access |
| WO2016119463A1 (en) * | 2015-01-30 | 2016-08-04 | 中兴通讯股份有限公司 | Transmission signal processing method and device |
-
2016
- 2016-08-05 CN CN201610640260.4A patent/CN107690180B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160100413A1 (en) * | 2014-10-07 | 2016-04-07 | Mediatek Inc. | Signaling of Network-Assisted Intra-Cell Interference Cancellation and Suppression |
| WO2016119463A1 (en) * | 2015-01-30 | 2016-08-04 | 中兴通讯股份有限公司 | Transmission signal processing method and device |
| CN104812047A (en) * | 2015-02-12 | 2015-07-29 | 东南大学 | Interference cost information based multi-cell power distribution method for WiFi of next generation |
| CN104640220A (en) * | 2015-03-12 | 2015-05-20 | 重庆邮电大学 | Frequency and power distributing method based on NOMA (non-orthogonal multiple access) system |
| CN105704820A (en) * | 2015-12-31 | 2016-06-22 | 北京邮电大学 | Power distribution method and device in non-orthogonal multiple access |
| CN105592408A (en) * | 2016-03-04 | 2016-05-18 | 山东大学 | Distribution method of D2D communication system resource under cellular network with incomplete channel information |
Non-Patent Citations (2)
| Title |
|---|
| FEI LIU等: "Proportional fairness-based power allocation and user set selection for downlink NOMA systems", 《IEEE》 * |
| KEISUKE SAITO等: "Performance and design of SIC receiver for downlink NOMA with open-loop SU-MIMO", 《IEEE》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108632976A (en) * | 2018-03-21 | 2018-10-09 | 清华大学 | A kind of resource allocation methods and device |
| CN108632976B (en) * | 2018-03-21 | 2020-09-01 | 清华大学 | Resource allocation method and device |
| CN111030771A (en) * | 2018-10-09 | 2020-04-17 | 王晋良 | User equipment selection method in non-orthogonal multiple access system and base station thereof |
| CN111030771B (en) * | 2018-10-09 | 2022-03-08 | 王晋良 | User equipment selection method in non-orthogonal multiple access system and base station thereof |
| CN114390658A (en) * | 2020-10-22 | 2022-04-22 | 王晋良 | Power distribution method and base station in non-orthogonal multiple access system |
| CN114390658B (en) * | 2020-10-22 | 2024-06-04 | 王晋良 | Power distribution method and base station in non-orthogonal multiple access system |
| CN117560049A (en) * | 2023-05-11 | 2024-02-13 | 武汉能钠智能装备技术股份有限公司四川省成都市分公司 | Satellite ground station relay forwarding system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107690180B (en) | 2020-12-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI608745B (en) | Method of power allocation and base station using the same | |
| Wang et al. | Power allocation for a downlink non-orthogonal multiple access system | |
| Farhang et al. | Massive MIMO and waveform design for 5th generation wireless communication systems | |
| US9614599B2 (en) | Method for determining precoding matrixes for communication and a system therefrom | |
| TWI630812B (en) | Data transmission method for performing a full-duplex communication and base station using the same | |
| CN107528624B (en) | Design method of steady beam forming based on non-orthogonal multiple access technology | |
| CN107690180A (en) | Power distribution method and the base station using methods described | |
| CN104272641A (en) | Method and apparatus for demodulating a signal in a multi user MIMO-based|communication system | |
| Adachi et al. | Distributed antenna network for gigabit wireless access | |
| Park et al. | Before/after precoding massive MIMO systems for cloud radio access networks | |
| CN107154814B (en) | Method for combining user grouping and precoding and base station using the same | |
| Xia et al. | Joint optimization of fronthaul compression and bandwidth allocation in uplink H-CRAN with large system analysis | |
| CN113645171A (en) | Reconfigurable intelligent surface multi-user MIMO system modulation and demodulation method and device | |
| Chen et al. | Joint user pairing and power allocation design for heavy loaded full-duplex small cell systems | |
| Zeng et al. | Downlink power allocation optimization in pattern division multiple access | |
| CN102647247B (en) | One transmits preliminary treatment sending method and device | |
| Bogale et al. | Sum MSE optimization for downlink multiuser MIMO systems with per antenna power constraint: Downlink-uplink duality approach | |
| CN108631829A (en) | Joint Power distribution, precoding and coding/decoding method and its base station | |
| CN104602357B (en) | Multi-user dispatching method is wirelessly transferred suitable for intelligent grid | |
| CN107148078A (en) | A kind of user access control method and device for mixing full duplex half-duplex network | |
| CN106685569A (en) | Interference alignment algorithm based on QR decomposition | |
| Heggo et al. | A cognitive TV white space-broadband power line MIMO system for indoor communication networks | |
| CN114390658B (en) | Power distribution method and base station in non-orthogonal multiple access system | |
| CN114244404B (en) | Bidirectional non-orthogonal cooperative transmission method and system | |
| US20120069924A1 (en) | Linear precoding in mimo broadcast channel with arbitrary rank constraints |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |