CN106131939B - A kind of power control optimal method of several energy integrated communication networks - Google Patents
A kind of power control optimal method of several energy integrated communication networks Download PDFInfo
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- CN106131939B CN106131939B CN201610431706.2A CN201610431706A CN106131939B CN 106131939 B CN106131939 B CN 106131939B CN 201610431706 A CN201610431706 A CN 201610431706A CN 106131939 B CN106131939 B CN 106131939B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/06—TPC algorithms
- H04W52/14—Separate analysis of uplink or downlink
- H04W52/146—Uplink power control
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- 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
Abstract
The invention discloses a kind of power control optimal methods of several energy integrated communication networks, comprising the following steps: S1, determines network model；S2, the business demand of user uplink is analyzed；S3, user uplink business demand is defined；S4, the optimal power control strategy for solving user uplink；S5, analysis is collected to the number energy simultaneous interpretation of user's downlink and power segmentation energy；S6, it solves about the goal expression of line number energy simultaneous interpretation under user and its constraint；S7, base station down power distribution and the segmentation of user's optimal power are solved；S8, uplink and downlink joint solve, and obtain the best practice of the descending power distribution of user uplink power control.User power segmentation of the invention and base station down power distribution need to consider the power control strategy of user uplink, and the power control of user uplink need to consider user actual demand and user by power divide base station down number energy simultaneous interpretation signal acquired in energy limit, be more in line with the actual demand of communication network.
Description
Technical field
The invention belongs to numbers can integrated communication network technique fields, and in particular to it is a kind of it is several can integrated communication networks
Power control optimal method.
Background technique
Collection of energy (Energy Harvesting, EH) technology can be the energy constraints networks such as wireless sensor network because of it
Stable energy is provided and extends network lifecycle and there is big good development prospect.The energy source of energy collection technology is not only
Most of natural energy resources including ambient enviroment, such as solar energy, luminous energy, wind energy, thermal energy, chemical energy, can also will be received
Surrounding wireless signal is converted to a kind of electric energy, radio frequency (Radio Frequency, the RF) signal such as manually obtained.And it is based on RF
The collection of energy of signal is because it can not be influenced by weather environment and provide stable energy as research hotspot.
Number energy integrated communication network (Data and energy integrated communication networks,
It DEINs) is a kind of new network for being able to achieve data Yu energy cooperation transmission.In number energy integrated network, energy and data
Energy can also be provided for energy constraint equipment by transmission energy signal with simultaneous transmission and carry out information transmission, extend net
The network service life.In a kind of common scene of number energy integrated communication network, base station can integrally be transmitted as user by lower line number and mention
For energy and information, and user carries out transmitting uplink data by these energy.
Research has been considered that the power control scheme in number energy integrated communication network transmission, including frame, transmission
Agreement and algorithm.Wherein there is document to consider based on the transmission strategy for meeting least energy demand in multi-user, is used by analysis
In addition the tradeoff of family energy and information has some documents to examine it is expected that obtaining best power cut-point and power distribution method
Consider and divide different time-gap transmission energy and information using time-multiplexed method, least energy is being met by distribution power and time
Under the premise of demand, reach the maximization of downlink throughput capacity.
But there are a kind of lower line number can real simultaneous transmission scene, user by number can simultaneous interpretation respectively obtain energy with
Information wherein extracting the method for energy from number energy signal is usually power segmentation (power splitting, PS), but is worked as
Preceding most of researchs do not consider the uplink and downlink combined optimization in number energy integrated network simultaneously.And in number energy integrated network
In, really consider that the simultaneous interpretation of number energy is collected energy and energy use and combined, just more closing to reality.
Summary of the invention
It is an object of the invention to overcome in the prior art for being mostly used the network transmitting power control of amount energy integrated communication
The considerations of lacking in the research of system to uplink service demand, causing lower line number that can lack with the optimization of crossing model, energy is practical to be needed
The deficiency for guide is sought, a kind of segmentation of user power is provided and base station down power distribution needs to consider the power control of user uplink
System strategy, and the power control of user uplink needs to consider that the actual demand of user and user pass through power segmentation base station down number
Energy limit acquired in energy simultaneous interpretation signal is more in line with the power control of the number energy integrated communication network of practical communication scene
Optimal method.
The purpose of the present invention is achieved through the following technical solutions: a kind of power control of several energy integrated communication networks
Optimal method processed, comprising the following steps:
S1, it determines network model, establishes the uplink and downlink network model in number energy integrated network；
S2, the business demand of user uplink is analyzed；
S3, define user uplink business demand, obtain about the goal expression of user uplink business demand and its about
Beam；
S4, the optimal of user uplink is gone out according to the goal expression of user uplink business demand in S3 and its constraint solving
Power control strategy；
S5, analysis is collected to the number energy simultaneous interpretation of user's downlink and power segmentation energy；
S6, according to the analysis in S5 to line number energy simultaneous interpretation under user, obtain the object table about line number energy simultaneous interpretation under user
Up to formula and its constraint；
S7, gone out according to the goal expression and its constraint solving of line number energy simultaneous interpretation under user base station down power distribution and
The segmentation of user's optimal power；
S8, uplink and downlink joint solve, then the uplink to be sent portfolio different for different user settings is closed
In the power control of user uplink；For the business demand of user uplink, user carries out power segmentation energy after receiving signal,
Obtain the best practice of the descending power distribution of user uplink power control in number energy integrated network.
Further, step S1 includes following sub-step:
S11, the integrated cellular network of number energy based on OFDM for considering single cell, base station and user are single antenna, base
Stand BS with the forms of broadcasting by down channel send number can integrated signal to M user (U1,U2,U3,...,UM), user Ze Tong
It crosses up channel and sends information to base station；The transmission power p of base station t momentBS(t) it is up to ppeak, send power pBS(t) flat
Mean value is up to pavg, the operating condition of base station needs to meet the limitation of peak value and peak to average；If the channel between base station and user
For the fading model of time-varying,WithIt is expressed as the down channel of user j and the channel gain of up channel, if
Channel is Ruili fading channel, and user j is D at a distance from base stationj(j=1 ..., M)；
S12, within the time cycle of (0, T), base station is with power pBS(t) signal is sent, user j receives broadcast singal, and
Divided by power with splitting factor μj(t) by user's downlink reception to signal energy be divided into two parts, a part of conduct
Collection of energy, another part received signal energy are decoded acquisition corresponding information；Consider that the energy that user's downlink is collected needs
Meet the operating energy requirements of user, respectively for the business demand of the collection of energy of downlink and uplink energy consumption modeling analysis.
Further, step S2 includes following sub-step:
Energy needed for S21, user uplink send data derives from the reception of downlink energy, the reception amount meeting of downlink energy
The performance of downlink communication is influenced, therefore it is expected that user uplink completes uplink service demand using less energy, then definition is used
The uplink service demand of family j are as follows: for a certain amount of data D to be sentj, it is expected that user j uses least energyIn cycle T
It is interior to have sent；
S22, user uplink data transmission rate r (t) (bps/hz) and the relationship sent between power p (t) are expressed as:
Wherein, h (t) is user uplink channel gain, and p (t) is that user sends power；For user j, t moment uplink
Channel gain isData volume is sent in (0, T) isThen the uplink data sending of user jIt needs to meetAdditionally, it is contemplated that the energy source of user is mainly downlink collection of energy, due to 0≤p of base-station transmitting-powerBS(t)
≤ppeak,0≤E(pBS(t))≤pavg, E (pBS(t)) base station mean power within (0, the T) time is indicated；Therefore on t moment user
The data sending power of row channelIt needs to meet:
Further, step S3 concrete methods of realizing are as follows: expectation user uplink completes uplink service using least energy
Demand, minimal energy consumption of the user j in the sending cycle of (0, T) are as follows:
It is constrained are as follows:
Wherein j=1,2,3...M.
Further, step S4 concrete methods of realizing are as follows: the time of (0, T) is divided into N number of time slot, it is very short in each time
Time slot τiIt is interior, using a kind of slow fading channel model, in a time slot (τ1, τ2) in, user's j up channel gainWith
Down channel gainIt is constant, uplink transmission powerThe power of user is distributed to base stationIt is constant but each
The channel gain and power of different time-gap are different, wherein t ∈ (τ1, τ2), i.e., by the system of continuous time described in the second part
Model time discretization, each index of the above continuous time correspond respectively to the index of i-th of time slot user j, thus embody
The channel characteristics of time-varying in the time cycle of (0, T), and solve the uplink transmission power of each user of each time slotBase station
Distribute to the power of user
Specifically include following sub-step:
S41, assume be between each user it is independent, i.e., the mould of M customer service demand is respectively present for M user
Type, wherein the uplink service demand model of user j can obtain uplink service demand model by time discretization are as follows:
Wherein,For time slot τiThe uplink transmission power of interior user j,For time slot τiThe up channel gain of interior user j,For time slot τiThe down channel gain of interior user j；
In the case where data volume to be sent known to user j, which is a single argumentConvex problem；
S42, Lagrangian is defined,
Wherein, λ={ λ1,λ2,λ3} >=0, and for the sake of simplicity, ifTake its upper bound ppeak, i.e. the transmission of user uplink
Power is respectively less than the power that base station maximum is capable of providing；
Above-mentioned convex problem is solved using Lagrangian method, obtains uplink transmission powerOptimal power control.
Further, step S5 includes following sub-step:
S51, consider the number energy integrated network based on OFDM, base station is to multiple user's broadcast transmission signals, for user
The energy requirement of uplink, user carry out power segmentation energy after receiving signal；After user j receives broadcast singal, first with
Power splitting factor μj(t) power segmentation is carried out to signal, then converts collection of energy for a part of signal, then from another portion
Useful information is extracted in decoding in sub-signal, i.e., the signal that user collects other users is used as energy；
S52, user can receive to base station the signal for being sent to all users in t moment, i.e. the transmission power of base station is pBS
(t), the power for distributing to user j isThe energy that user j is collected in t moment by power segmentationAre as follows:
Wherein, β is the transforming factor of reception circuit after power segmentation, μj(t) the power splitting factor for being user j,
For the down channel gain of user j；
Then, transmission power p of the base station in t momentBS(t) are as follows:
In addition, the transmission general power of base station t moment should be not more than peak value ppeak, mean power should not within (0, the T) time
Greater than average value maximum value pavg, indicate are as follows: 0≤pBS(t)≤ppeak, 0≤E (pBS(t))≤pavg；
The data rate of S53, user j in t moment down channelAre as follows:
Wherein, the additive white Gaussian noise of user's down channel obeys distribution Zj~N (0, σj 2), ncFor energy collection circuit
Circuit noise, obeying mean value be zero variance is σc 2Gaussian Profile.
Further, step S6 includes following sub-step: while the business demand consumption for meeting uplink, being expected that by
The power for reasonably distributing each user obtains biggish downlink system data transfer rate；
The goal expression of line number energy simultaneous interpretation under user are as follows:
Constraint are as follows:
t∈(0,T),0≤μj(t)≤1, j=1,2,3...M
Further, step S7 specifically include it is following step by step:
S71, first by the system model time discretization of continuous time, the base station power distribution of different time-gap is discussed and is used
The segmentation of family power, i.e., for obtained energy requirement in uplink user business demand model, downlink energy supply model is intended to
Meet its demand by base station assigned user power, downlink energy supply model equally obtained by time discretization are as follows:
Wherein, μijFor time slot τiThe power splitting factor of interior user j；
S72, the goal expression of line number energy simultaneous interpretation and the hessian matrix of constraint condition under user, hessian are solved
Matrix nonpositive definite matrix, therefore objective function and constraint condition are non-convex problem；
It include two variables for the non-convex problemAnd μij, by the pass mutually constrained for judging the two variables
System, solves the problems, such as this using a kind of algorithm of iteration, that is, passes through fixed μijIt acquires correspondingIt brings into againIt solves corresponding
μij, iterate repeatedly, acquire the result of a near-optimization；
Fixed μij, then problem becomes about single variableConvex problem, that is, can be used method of Lagrange multipliers find out knot
Fruit, from the angle of problem itself,The constraint of peak to average and peak value is converged on, i.e., fixed μijIn the case where, user j exists
The power of time slot i distribution levels off to maximum value, and objective function is made to tend to maximum value；Otherwise it also restrains, thus iteratesAnd μijSo that objective function gradually tends to maximum value, therefore objective function and constraint condition and be convergent；
S73, according to S72 about the constringent proof of objective function, propose a kind of Approximation Iterative Algorithms；Iteration is set first
Target termination value δ, i.e., when front and back twice iteration objective result difference be less than δ after, stop iteration；Then M*N are randomly generated
Suitable { μij, wherein μij∈ (0,1), for giving { μij, goal expression and constraint become single argumentOptimization
Problem is acquired according to Lagrangian method so that objective function optimizedThen it fixesThus goal expression
Become single argument { μ with constraintijOptimization problem, also according to Lagrange ask extreme value to obtain so that objective function is optimal
{μij, it thus iterates, until iterative target result difference is less than δ, stopping iteration twice for front and back, finally obtained result is
For near-optimization value.
Further, step S8 concrete methods of realizing are as follows: to be sent firstly for the different uplink of different user settings
Portfolio Dj, then carry out repeatedly circulation and solve, circulation solves correspondence and channel is randomly generated every timeWithUplink power control
System and descending power allocation result, acquire average value finally for all results, the optimal power control of uplink can be obtained
With the optimal power allocation of downlink；Then it is directed to the energy requirement of user uplink, user carries out power segmentation after receiving signal
Obtain the optimal power dividing method of user's downlink.
The beneficial effects of the present invention are: the present invention includes user uplink power control, base station down power distribution and user
Power divides three parts, and user power segmentation and base station down power distribution need to consider the power control plan of user uplink
It omits, and the power control of user uplink needs to consider that the actual demand of user and user can be same by power segmentation base station down number
Energy limit acquired in communication number, three parts interdepend, while considering the uplink and downlink connection in number energy integrated network
Close optimization；The present invention is based on the considerations of the practical communication business demand of multi-user, propose one kind and are more in line with practical communication scene
Number can base station energy supply strategy in integrated networks, can be suitable for various communication scenes, in reduction transmission process
Energy loss, improve communication quality.
Detailed description of the invention
Fig. 1 is power control optimal method flow chart of the invention；
Fig. 2 is the network model schematic diagram of number energy integrated communication network of the invention；
Fig. 3 is to carry out the method schematic diagram that power divides energy after user of the invention receives signal.
Specific embodiment
Technical solution of the present invention is further illustrated in the following with reference to the drawings and specific embodiments.
As shown in Figure 1, a kind of power control optimal method of several energy integrated communication networks, comprising the following steps:
S1, it determines network model, establishes the uplink and downlink network model in number energy integrated network；Specifically include following sub-step
It is rapid:
S11, the integrated cellular network of number energy based on OFDM for considering single cell, base station and user are single antenna, such as
Shown in Fig. 2, base station BS sends the integrated signal of number energy to M user (U by down channel with the forms of broadcasting1,U2,U3,...,
UM), user then passes through up channel and sends information to base station；The transmission power p of base station t momentBS(t) it is up to ppeak, send
Power pBS(t) average value is up to pavg, the operating condition of base station needs to meet the limitation of peak value and peak to average；If base station with
Channel between user is the fading model of time-varying,WithIt is expressed as the down channel and up channel of user j
Gain, if channel is Ruili fading channel, user j is D at a distance from base stationj(j=1 ..., M)；
S12, within the time cycle of (0, T), base station is with power pBS(t) signal is sent, user j receives broadcast singal, and
By power segmentation (Power splitting, PS) with splitting factor μj(t) signal energy for arriving user's downlink reception divides
At two parts, as shown in figure 3, a part is used as collection of energy, it is corresponding that another part received signal energy is decoded acquisition
Information；Consider that the energy that user's downlink is collected need to meet the operating energy requirements of user, respectively for the collection of energy of downlink and
The business demand energy consumption modeling analysis of uplink.
S2, the business demand of user uplink is analyzed；Specifically include following sub-step:
Energy needed for S21, user uplink send data derives from the reception of downlink energy, the reception amount meeting of downlink energy
The performance of downlink communication is influenced, therefore it is expected that user uplink completes uplink service demand using less energy, then definition is used
The uplink service demand of family j are as follows: for a certain amount of data D to be sentj, it is expected that user j uses least energyIn cycle T
It is interior to have sent；
S22, user uplink data transmission rate r (t) (bps/hz) and the relationship sent between power p (t) are expressed as:
Wherein, h (t) is user uplink channel gain, and p (t) is that user sends power；For user j, t moment uplink
Channel gain isData volume is sent in (0, T) isThen the uplink data sending of user jIt needs to meetAdditionally, it is contemplated that the energy source of user is mainly downlink collection of energy, due to 0≤p of base-station transmitting-powerBS(t)
≤ppeak,0≤E(pBS(t))≤pavg, E (pBS(t)) base station mean power within (0, the T) time is indicated；Therefore on t moment user
The data sending power of row channelIt needs to meet:
S3, define user uplink business demand, obtain about the goal expression of user uplink business demand and its about
Beam；Its concrete methods of realizing are as follows: expectation user uplink completes uplink service demand using least energy, and user j is in (0, T)
Minimal energy consumption in sending cycle are as follows:
It is constrained are as follows:
Wherein j=1,2,3...M.
S4, the optimal of user uplink is gone out according to the goal expression of user uplink business demand in S3 and its constraint solving
Power control strategy；Its concrete methods of realizing are as follows: the time of (0, T) is divided into N number of time slot, in the time slot τ that each time is very shorti
It is interior, using a kind of slow fading channel model, in a time slot (τ1, τ2) in, user's j up channel gainAnd down channel
GainIt is constant, uplink transmission powerThe power of user is distributed to base stationIt is constant, but each different time-gap
Channel gain and power it is different, wherein t ∈ (τ1, τ2), i.e., by the system model time of continuous time described in the second part
Discretization, each index of the above continuous time correspond respectively to the index of i-th of time slot user j, thus embody (0, T) when
Between in the period time-varying channel characteristics, and solve the uplink transmission power of each user of each time slotDistribute to user in base station
Power
Including following sub-step:
S41, assume be between each user it is independent, i.e., the mould of M customer service demand is respectively present for M user
Type, wherein the uplink service demand model of user j can obtain uplink service demand model by time discretization are as follows:
Wherein,For time slot τiThe uplink transmission power of interior user j,For time slot τiThe up channel gain of interior user j,For time slot τiThe down channel gain of interior user j；
Obviously, in the case where data volume to be sent known to user j, which is a single argumentConvex problem；
S42, Lagrangian is defined,
Wherein, λ={ λ1,λ2,λ3} >=0, and for the sake of simplicity, ifTake its upper bound ppeak, i.e. the transmission of user uplink
Power is respectively less than the power that base station maximum is capable of providing；
Above-mentioned convex problem is solved using Lagrangian method, obtains uplink transmission powerOptimal power control.
S5, analysis is collected to the number energy simultaneous interpretation of user's downlink and power segmentation energy；Specifically include following sub-step:
S51, consider the number energy integrated network based on OFDM, base station is to multiple user's broadcast transmission signals, for user
The energy requirement of uplink, user carry out power segmentation energy after receiving signal；After user j receives broadcast singal, first with
Power splitting factor μj(t) power segmentation is carried out to signal, then converts collection of energy for a part of signal, then from another portion
Useful information is extracted in decoding in sub-signal, i.e., the signal that user collects other users is used as energy；
S52, user can receive to base station the signal for being sent to all users in t moment, i.e. the transmission power of base station is pBS
(t), the power for distributing to user j isThe energy that user j is collected in t moment by power segmentationAre as follows:
Wherein, β is the transforming factor of reception circuit after power segmentation, μj(t) the power splitting factor for being user j,
For the down channel gain of user j；
Then, transmission power p of the base station in t momentBS(t) are as follows:
In addition, the transmission general power of base station t moment should be not more than peak value ppeak, mean power should not within (0, the T) time
Greater than average value maximum value pavg, indicate are as follows: 0≤pBS(t)≤ppeak, 0≤E (pBS(t))≤pavg；
The data rate of S53, user j in t moment down channelAre as follows:
Wherein, the additive white Gaussian noise of user's down channel obeys distribution Zj~N (0, σj 2), ncFor energy collection circuit
Circuit noise, obeying mean value be zero variance is σc 2Gaussian Profile.
S6, according to the analysis in S5 to line number energy simultaneous interpretation under user, obtain the object table about line number energy simultaneous interpretation under user
Up to formula and its constraint；It specifically includes following sub-step: while the business demand consumption for meeting uplink, being expected that by rationally
The each user of distribution power, obtain biggish downlink system data transfer rate；
The goal expression of line number energy simultaneous interpretation under user are as follows:
Constraint are as follows:
t∈(0,T),0≤μj(t)≤1, j=1,2,3...M
S7, gone out according to the goal expression and its constraint solving of line number energy simultaneous interpretation under user base station down power distribution and
The segmentation of user's optimal power；Specifically include it is following step by step:
S71, first by the system model time discretization of continuous time, the base station power distribution of different time-gap is discussed and is used
The segmentation of family power, i.e., for obtained energy requirement in uplink user business demand model, downlink energy supply model is intended to
Meet its demand by base station assigned user power, downlink energy supply model equally obtained by time discretization are as follows:
Wherein, μijFor time slot τiThe power splitting factor of interior user j；
S72, the goal expression of line number energy simultaneous interpretation and the hessian matrix of constraint condition under user, hessian are solved
Matrix nonpositive definite matrix, therefore objective function and constraint condition are non-convex problem；
It include two variables for the non-convex problemAnd μij, by the pass mutually constrained for judging the two variables
System, solves the problems, such as this using a kind of algorithm of iteration, that is, passes through fixed μijIt acquires correspondingIt brings into againIt solves corresponding
μij, iterate repeatedly, acquire the result of a near-optimization；
Fixed μij, then problem becomes about single variableConvex problem, that is, can be used method of Lagrange multipliers find out
As a result, from the angle of problem itself,The constraint of peak to average and peak value is converged on, i.e., fixed μijIn the case where, user j
Maximum value is leveled off in the power of time slot i distribution, and objective function is made to tend to maximum value；Otherwise it also restrains, thus changes repeatedly
GenerationAnd μijSo that objective function gradually tends to maximum value, therefore objective function and constraint condition and be convergent；
S73, according to S72 about the constringent proof of objective function, propose a kind of Approximation Iterative Algorithms；Iteration is set first
Target termination value δ, i.e., when front and back twice iteration objective result difference be less than δ after, stop iteration；Then M*N are randomly generated
Suitable { μij, wherein μij∈ (0,1), for giving { μij, goal expression and constraint become single argumentOptimization
Problem is acquired according to Lagrangian method so that objective function optimizedThen it fixesThus goal expression
Become single argument { μ with constraintijOptimization problem, also according to Lagrange ask extreme value to obtain so that objective function is optimal
{μij, it thus iterates, until iterative target result difference is less than δ, stopping iteration twice for front and back, finally obtained result is
For near-optimization value.
S8, uplink and downlink joint solve, then the uplink to be sent portfolio different for different user settings is closed
In the power control of user uplink；For the business demand of user uplink, user carries out power segmentation energy after receiving signal,
Obtain the best practice of the descending power distribution of user uplink power control in number energy integrated network；Its concrete methods of realizing
Are as follows: firstly for the different uplink of different user settings portfolio D to be sentj, then carry out repeatedly circulation and solve, preferably
Cycle-index N=10000 is arranged in ground, and circulation solves correspondence and channel is randomly generated every timeWithUplink power control and under
Row power distribution result acquires average value finally for all results, and the optimal power control and downlink of uplink can be obtained
Optimal power allocation；Then it is directed to the energy requirement of user uplink, user, which receives, to be carried out power after signal and divide to be used
The optimal power dividing method of family downlink.
Those of ordinary skill in the art will understand that the embodiments described herein, which is to help reader, understands this hair
Bright principle, it should be understood that protection scope of the present invention is not limited to such specific embodiments and embodiments.This field
Those of ordinary skill disclosed the technical disclosures can make according to the present invention and various not depart from the other each of essence of the invention
The specific variations and combinations of kind, these variations and combinations are still within the scope of the present invention.
Claims (7)
1. a kind of power control optimal method of several energy integrated communication networks, which comprises the following steps:
S1, it determines network model, establishes the uplink and downlink network model in number energy integrated network；Including following sub-step:
S11, the integrated cellular network of number energy based on OFDM for considering single cell, base station and user are single antenna, base station BS
The integrated signal of number energy is sent to M user (U by down channel with the forms of broadcasting1, U2, U3..., UM), user then passes through upper
Row channel sends information to base station；The transmission power p of base station t momentBS(t) it is up to ppeak, send power pBS(t) average value
It is up to pavg, the operating condition of base station needs to meet the limitation of peak value and peak to average；If the channel between base station and user is
The fading model of change,WithIt is expressed as the down channel of user j and the channel gain of up channel, if channel
It is Ruili fading channel, user j is d at a distance from base stationj(j=1 ..., M)；
S12, within the time cycle of (0, T), base station is with power pBS(t) signal is sent, user j receives broadcast singal, and passes through
Power is divided with splitting factor μj(t) by user's downlink reception to signal energy be divided into two parts, a part is used as energy
It collects, another part received signal energy is decoded acquisition corresponding information；The energy for considering that user's downlink is collected needs to meet
The operating energy requirements of user, respectively for the business demand of the collection of energy of downlink and uplink energy consumption modeling analysis；
S2, the business demand of user uplink is analyzed；Including following sub-step:
Energy needed for S21, user uplink send data derives from the reception of downlink energy, and the reception amount of downlink energy will affect
To the performance of downlink communication, therefore it is expected that user uplink completes uplink service demand using less energy, then defines user j's
Uplink service demand are as follows: for a certain amount of data D to be sentj, it is expected that user j uses least energyIt is sent out in cycle T
It has sent；
S22, user uplink data transmission rate r (t) (bps/hz) and the relationship sent between power p (t) are expressed as:
Wherein, h (t) is user uplink channel gain, and p (t) is that user sends power；For user j, t moment up channel
Gain isData volume is sent in (0, T) isThen the uplink data sending of user jIt needs to meetAdditionally, it is contemplated that the energy source of user is mainly downlink collection of energy, due to 0≤p of base-station transmitting-powerBS(t)
≤ppeak, 0≤E (pBS(t))≤pavg, E (pBS(t)) base station mean power within (0, the T) time is indicated；Therefore on t moment user
The data sending power of row channelIt needs to meet:
S3, user uplink business demand is defined, obtained about the goal expression of user uplink business demand and its constraint；
S4, the optimal power for going out user uplink according to the goal expression of user uplink business demand in S3 and its constraint solving
One control strategy；
S5, analysis is collected to the number energy simultaneous interpretation of user's downlink and power segmentation energy；
S6, according to the analysis in S5 to line number energy simultaneous interpretation under user, obtain the goal expression about line number energy simultaneous interpretation under user
And its constraint；
S7, base station down power distribution and user are gone out according to the goal expression and its constraint solving of line number energy simultaneous interpretation under user
Optimal power segmentation；
S8, uplink and downlink joint solve, the uplink to be sent portfolio different for different user settings, then obtain about with
The power control of family uplink；For the business demand of user uplink, user carries out power segmentation energy after receiving signal, obtains
The best practice of the descending power distribution of user uplink power control in number energy integrated network.
2. the power control optimal method of number energy integrated communication network according to claim 1, which is characterized in that institute
State step S3 concrete methods of realizing are as follows: expectation user uplink using least energy complete uplink service demand, user j (0,
T the minimal energy consumption in sending cycle) are as follows:
It is constrained are as follows:
Wherein j=1,2,3...M.
3. the power control optimal method of number energy integrated communication network according to claim 2, which is characterized in that institute
State step S4 concrete methods of realizing are as follows: the time of (0, T) is divided into N number of time slot, in the time slot τ that each time is very shortiIt is interior, it uses
A kind of slow fading channel model, in a time slot (τ1, τ2) in, user's j up channel gainWith down channel gainIt is constant, uplink transmission powerThe power of user is distributed to base stationIt is constant, but the letter of each different time-gap
Road gain and power are different, wherein t ∈ (τ1, τ2), i.e., by the system model time discretization of the second part continuous time,
Each index of the above continuous time corresponds respectively to the index of i-th of time slot user j, thus embodies the time cycle of (0, T)
The channel characteristics of interior time-varying, and solve the uplink transmission power of each user of each time slotDistribute to the power of user in base station
Specifically include following sub-step:
S41, assume be between each user it is independent, i.e., the model of M customer service demand is respectively present for M user,
Wherein the uplink service demand model of user j can obtain uplink service demand model by time discretization are as follows:
Wherein,For time slot τiThe uplink transmission power of interior user j,For time slot τiThe up channel gain of interior user j,For
Time slot τiThe down channel gain of interior user j；
In the case where data volume to be sent known to user j, which is a single argumentConvex problem；
S42, Lagrangian is defined,
Wherein, λ={ λ1, λ2, λ3} >=0, and for the sake of simplicity, ifTake its upper bound ppeak, i.e. the transmission power of user uplink is equal
The power being capable of providing less than base station maximum；
Above-mentioned convex problem is solved using Lagrangian method, obtains uplink transmission powerOptimal power control.
4. the power control optimal method of number energy integrated communication network according to claim 3, which is characterized in that institute
Stating step S5 includes following sub-step:
S51, consider the number energy integrated network based on OFDM, base station is to multiple user's broadcast transmission signals, for user uplink
Energy requirement, user, which receives, carries out power segmentation energy after signal；After user j receives broadcast singal, first with power
Splitting factor μj(t) power segmentation is carried out to signal, then converts collection of energy for a part of signal, then believe from another part
Useful information is extracted in decoding in number, i.e., the signal that user collects other users is used as energy；
S52, user can receive to base station the signal for being sent to all users in t moment, i.e. the transmission power of base station is pBS(t),
The power for distributing to user j isThe energy that user j is collected in t moment by power segmentationAre as follows:
Wherein, β is the transforming factor of reception circuit after power segmentation, μj(t) the power splitting factor for being user j,For with
The down channel gain of family j；
Then, transmission power p of the base station in t momentBS(t) are as follows:
In addition, the transmission general power of base station t moment should be not more than peak value ppeak, mean power should be no more than flat within (0, the T) time
Mean-max pavg, indicate are as follows: 0≤pBS(t)≤ppeak, 0≤E (pBS(t))≤pavg；
The data rate of S53, user j in t moment down channelAre as follows:
Wherein, the additive white Gaussian noise of user's down channel obeys distribution Zj~N (0, σj 2), ncFor the electricity of energy collection circuit
Road noise sound, it is σ that obedience mean value, which is zero variance,c 2Gaussian Profile.
5. the power control optimal method of number energy integrated communication network according to claim 4, which is characterized in that institute
Stating step S6 includes following sub-step: while the business demand consumption for meeting uplink, it is each to be expected that by reasonable distribution
The power of user obtains biggish downlink system data transfer rate；
The goal expression of line number energy simultaneous interpretation under user are as follows:
Constraint are as follows:
6. the power control optimal method of number energy integrated communication network according to claim 5, which is characterized in that institute
State step S7 specifically include it is following step by step:
S71, first by the system model time discretization of continuous time, base station power distribution and the user's function of different time-gap are discussed
Rate segmentation, i.e., for obtained energy requirement in uplink user business demand model, downlink energy supply model is intended to pass through
Base station assigned user power meets its demand, equally obtains downlink energy supply model by time discretization are as follows:
Wherein, μijFor time slot τiThe power splitting factor of interior user j；
The goal expression of line number energy simultaneous interpretation and the hessian matrix of constraint condition are nonpositive definite matrix under S72, user, because
This objective function and constraint condition are non-convex problem；
It include two variables for the non-convex problemAnd μij, by judging the relationship of the two variables mutually constrained, adopt
This is solved the problems, such as with a kind of algorithm of iteration, that is, passes through fixed μijIt acquires correspondingIt brings into againSolve corresponding μij,
It iterates repeatedly, acquires the result of a near-optimization；
Fixed μij, then problem becomes about single variableConvex problem, that is, can be used method of Lagrange multipliers find out as a result,
From the angle of problem itself,The constraint of peak to average and peak value is converged on, i.e., fixed μijIn the case where, user j is in time slot
The power of i distribution levels off to maximum value, and objective function is made to tend to maximum value；Otherwise it also restrains, thus iteratesWith
μijSo that objective function gradually tends to maximum value, therefore objective function and constraint condition and be convergent；
S73, according to S72 about the constringent proof of objective function, propose a kind of Approximation Iterative Algorithms；Iterative target is set first
Stop value δ, i.e., when front and back twice iteration objective result difference be less than δ after, stop iteration；Then M*N are randomly generated to be suitble to
{ μij, wherein μij∈ (0,1), for giving { μij, goal expression and constraint become single argumentOptimization problem,
According to Lagrangian method, acquire so that objective function optimizedThen it fixesThus goal expression peace treaty
Shu Bianwei single argument { μijOptimization problem, ask extreme value to obtain also according to Lagrange so that the optimal { μ of objective functionij,
Thus it iterates, until iterative target result difference stops iteration less than δ twice for front and back, finally obtained result is as close
Like optimal value.
7. the power control optimal method of number energy integrated communication network according to claim 6, which is characterized in that institute
State step S8 concrete methods of realizing are as follows: firstly for the different uplink of different user settings portfolio D to be sentj, then into
Repeatedly circulation solves row, and circulation solves correspondence and channel is randomly generated every timeWithUplink power control and descending power distribution
As a result, acquiring average value finally for all results, the optimal power control of uplink and the optimal power of downlink can be obtained
Distribution；Then it is directed to the energy requirement of user uplink, progress power is divided to obtain user's downlink most after user receives signal
Excellent power dividing method.
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