CN106231665B - Resource allocation methods based on the switching of RRH dynamic mode in number energy integrated network - Google Patents
Resource allocation methods based on the switching of RRH dynamic mode in number energy integrated network Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/26—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
- H04W52/267—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service] taking into account the information rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/046—Wireless resource allocation based on the type of the allocated resource the resource being in the space domain, e.g. beams
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/08—Access point devices
- H04W88/085—Access point devices with remote components
Abstract
The invention discloses the resource allocation methods based on the switching of RRH dynamic mode in a kind of several energy integrated networks, comprising the following steps: S1, determines network model and transport protocol；S2, energy signal and data-signal that each user receives are calculated, calculates the data throughout and energy harvesting amount of each user；S3, evaluation function is defined, determines optimization aim；S4, the beam designing that data and energy transmission between optimal RRH and user are determined according to channel information；S5, suboptimization solution is carried out to the data transmission user in a time slot, RRH model selection, RRH power distribution；S6, the selecting of the corresponding data transmission user of the maximum time slot of the sum of evaluation function of selecting system, the optimal selection of RRH power distribution and RRH model selection as system, and optimal beam design of the RRH to user is calculated according to the method for step S4.The present invention is distributed by the optimization to power and RRH resource, hence it is evident that improves the handling capacity and energy harvesting performance of system totality.
Description
Technical field
The invention belongs to numbers can integrated communication network technique fields, and in particular to dynamic based on RRH under a kind of C-RAN scene
State pattern switching and the time slot and power resource allocation scheme for meeting different user collection data and energy total demand.
Background technique
Number energy integrated network (Data and Energy Integrated Communication Networks,
It DEINs) is a kind of communication network evolved derived from data and energy cooperative transmission technology, the difference with traditional network exists
The data communication between user and base station can be not merely carried out in it, the energy requirement of different user can also be met, such as
Wireless charging is carried out to communication equipment.Its basic protocol stack includes: physical layer, link layer, network layer and application layer.Wherein object
Reason layer is mainly responsible for coding and the decoding of energy and data information, additionally includes the design and full duplex technology of beam forming
Introducing, while interfere utilization with eliminate can also be emerged from physical layer.Link layer is mainly responsible for the reasonable of the communication resource
Distribution, including to different time-gap, the optimization of the resources such as frequency and space is distributed, be otherwise responsible for data rate control and
The management of energy.Network layer be then mainly responsible for number can routing Design in integrated networks, by design a variety of routing algorithms come
Meet the assorted demand of the network user, such as low time delay or low forwarding energy consumption.Application layer is more partial to specific network
Overall planning, including to wireless sensor network, the network architecture of cognitive radio networks and conventional cellular network etc. is set
Meter.
Application of the number energy integrated network under following multi-user scene will be all the fashion, because the technology is not merely
Meet the data requirements of different user, certain radio energy-transmitting can also be carried out to user, ensures that its energy supply needs
It asks.But while considering multi-user, influence of the distance factor to system performance would have to be studied.Distance Transmission
The energy that base station user farther out receives is no doubt smaller apart from the closer user in base station than other, therefore which results in different use
Unjustness between family.Traditional data information network introduces relaying technique for distance factor, to greatly increase
The handling capacity of system.But for number energy integrated network, the energy for jumping to destination node by two is jumped compared to one and can be reduced
Many, therefore relaying is not a good selection.And another beam forming new technology, it may be considered that the user farther out that adjusts the distance is excellent
Beamforming design is first looked after, but is also very little for passing energy bring and improving.With the development of 5G technology, multiple spot association
It is increasingly wider to make application, medium cloud wireless access network (Cloud Radio Access Network, C-RAN) will be not
Carry out a crucial network technology.In C-RAN, system has multiple remote radio-frequency heads (Remote Radio Head, RRH) point
In entire scene, each user can choose several RRH and accesses cloth.Compared to traditional center base station networking side
Formula, distributed RRH can effectively increase network coverage rate, preferably look after the edge customer in network, it is whole to improve system
The handling capacity of body, and also improve the overall level of resources utilization.Therefore, we can be considered the technical application to number energy
Integrated network, by way of establishing distribution RRH, preferably resolve user apart from unjustness.
The current research majority without line number energy simultaneous interpretation technology lays particular emphasis on data-signal and energy signal in same signal
Segmentation, and certain tradeoff is made to the two.But the radio transmission efficiency under these modes may not be satisfied with.According to grinding
Study carefully display, wireless energy transfer can be relatively high in higher frequency range efficiency, and the transmission of data information is then on the contrary, therefore, in order to
Data and the respective efficiency of transmission of energy are improved, we, which can be considered, separates data and energy signal, unlike signal list
Solely transmission, energy signal transmission in high frequency band and data signal transmission in lower band, this creates the terminal two kinds of RRH not
Same transmission mode --- data-transmission mode and energy transmission mode, RRH can be promoted with the switching of dynamic regulation both of which
The performance of system.Meanwhile we can also advanced optimize the time slot and power resource allocation of system, accomplish united optimal
Change.
Only one center base station in traditional Cellular Networks, the signal received which results in edge customer is compared with other bees
Nest internal user can it is faint very much.In addition, user while meeting data communication, can also generate certain energy sometimes to be needed
It asks, this requires systems can carry out data capacity coordinating transmissions to user by controlling the selection of communication pattern.And for not
Same user, the demand to data and energy also can be different, such as the user having is partial to wireless networking, and some users are then more inclined
It charges in the mobile phone to oneself, this generates a series of resource allocation problems.
In addition, user certainly will be will lead to data and energy since we introduce data and two kinds of mechanism of energy transmission
Different demands problem.In a communication scenes, some users lay particular emphasis on the data rate of communication, and some users are then more
Plus side overweights the harvesting of energy so as to equipment charge, therefore this just needs to carry out one to the different demands between these different users
Fixed coordination.
Summary of the invention
It is an object of the invention to overcome unjustness caused by user distance factor in legacy cellular net, different user
Data and energy requirement different problems and the high complexity of optimal algorithm are realisation with difficulty, provide one kind by power
The optimization of resource distributes, hence it is evident that improves base in the handling capacity of system totality and the number energy integrated network of energy harvesting performance
In the suboptimization resource allocation methods of RRH dynamic mode switching.
The purpose of the present invention is achieved through the following technical solutions: number can be based on RRH dynamic analog in integrated network
The resource allocation methods of formula switching, comprising the following steps:
S1, network model and transport protocol are determined；Communication between user and RRH is divided by time slot, each time slot
Messaging parameter (such as channel information) all may be different；
S2, energy signal and data-signal that each user receives are calculated, and calculates the data throughout of each user
With energy harvesting amount；
S3, evaluation function is defined, and optimization aim is determined according to evaluation function；
S4, the beam designing that data and energy transmission between optimal RRH and user are determined according to channel information；
S5, suboptimization solution is carried out to the data transmission user in a time slot, RRH model selection, RRH power distribution,
Including following sub-step:
S51, data transmission user selection, RRH power distribution and RRH mode selection scheme in the time slot are initialized；
S52, selection, the RRH function that data transmission user optimal in the time slot is found out using the sub-optimal algorithm of Dynamic iterations
Rate distribution and RRH mode selection scheme, and calculate the sum of the evaluation function of system in the time slot；
S6, are successively carried out by suboptimization and is asked for the data transmission user in each time slot, RRH model selection, RRH power distribution
Solution, the selection of the maximum time slot of the sum of evaluation function of selecting system corresponding data transmission user, RRH power distribution and
Optimal selection of the RRH model selection as system, and RRH is calculated according to the method for step S4, the optimal beam of user is designed,
The global optimization of completion system.
Further, step S1 includes following sub-step:
User's number is K in S11, note model scene, and each user has an antenna；A total of N number of RRH in scene,
Each RRH is fitted with M root antenna；Each RRH there are two types of operating mode, i.e. energy transmission mode and data-transmission mode,
Both of which can be switched accordingly according to demand；If the maximum transmission power of RRH is Pmax, all RRH due to center at
The management of device is managed, therefore overall transmission power also has a limitation, is defined asThe noise power for remembering interchannel is σ2；
Communication between S12, user and RRH is divided by time slot, dry in order to avoid conflicting for each time slot
It disturbs, only a user is allowed to carry out data transmission, and other users then carry out energy transmission, due to energy signal and data-signal
Frequency band it is different, therefore will not mutually generate interference；The optimal data of Systematic selection transmit user, while it is corresponding to choose each RRH
Number can transmission modes, define user and vector l selected, if user i carries out data transmission, to enable l in the time sloti=
1, if it carries out energy transmission, enable li=0；A RRH model selection vector r is defined, for t-th of RRH, if its
Data-transmission mode is selected, r is enabledt=1, otherwise enable rt=0.
Further, step S2 concrete methods of realizing are as follows: in each time slot, between t-th of RRH to i-th user
Channel is expressed as ht,i, whereinThe unit beam designing of t-th of RRH isPower distribution is pt；User receives
To energy signal respectively indicated with data-signal are as follows:
The data-signal that i-th of user receives indicates are as follows:
Wherein,Represent ht,iConjugate transposition, z is white Gaussian noise, x0For the random signal of unit power；
The energy signal that i-th of user receives indicates are as follows:
In the time slot, according to Shannon's theorems, the data throughout of i-th of user are as follows:
In the time slot, according to Shannon's theorems, the energy harvesting amount summation of i-th of user are as follows:
For ωtConjugate transposition.
Further, step S3 concrete methods of realizing are as follows: define an association evaluation function:
ηi=αiRi+βiEi
Wherein, αiAnd βiThe corresponding data factor of respectively each user i and energy factors, if some user i is preferred to
Data communication is carried out, then αiGreater than βiIf some user i prefers to progress, energy harvesting comes to equipment charge, βiGreatly
In αi；
In order to increase the sum of the satisfaction of all users of whole system, the sum of the evaluation function to user used in system is needed
It is maximized to get following optimization problem is arrived:
The restrictive condition for needing to meet are as follows:
C1:
C2:
C3:
C4:
C5:
The variable of optimization is that data transmit the selection of user, the selection of RRH both of which, RRH transmission function in each time slot
Rate distribution and the design of RRH transmission beam；Wherein, limitation C1 represents wave beam as a unit power vector；C2 is limited to represent each
The transmission power of RRH must not exceed the threshold value；Limitation C3 indicates that the transmission general power of all RRH of synchronization must not exceed this
Threshold value；Limitation C4, which represents each time slot at most, can only have a user to carry out data transmission, and other users can only carry out energy
Transmission；Limitation C5, which represents RRH at a time, can only choose one of mode progress signal transmission.
Further, step S4 includes following sub-step:
S41, determine that RRH designs the optimal beam of user under data-transmission mode: assuming that i-th of user carries out data biography
It is defeated, beam designing is carried out to t-th of RRH, since only one data transmits user, therefore utilizes the water-filling of beam designing,
Obtain optimal beam designing are as follows:
S42, determine that the RRH under energy transmission mode designs the optimal beam of user: the beam designing of t-th of RRH is set
For ωt, the set of an energy harvesting user is defined, is indicated with Φ, the signal of RRH transmission receives at all energy user ends
To totalizing wattmeter be shown as:
Wherein,
At this point, optimization problem is to makeIt maximizes, above-mentioned optimization problem is solved by quadratic form method,
The RRH obtained under energy transmission mode designs the optimal beam of user.
Further, the specific implementation of step S51 are as follows: since the complexity of optimal algorithm is relatively high and is difficult to
It realizes, therefore intends solving by a kind of suboptimization algorithm of Joint iteration come the optimization problem described in step S3；It is random first
Determine that a user transmits user as data, other users then carry out energy transmission, then generate a kind of choosing of RRH mode at random
Scheme is selected, and meets the 5th constraint in optimization aim, is finally constrained further according in optimization aim second and third random
A kind of power allocation scheme is generated, the initialization as iterative algorithm.
Further, step S52 includes following sub-step:
S521, data transmission user's selection scheme of fixed last grey iterative generation and RRH power allocation scheme, for the first time
The data transmission user's selection scheme and RRH power allocation scheme that fixed initialization generates when iteration, solve optimal RRH mode
Selection scheme: since the power of each RRH transmission is it is known that root event finds out optimal RRH mode scheme according to power distribution；Due to
The energy signal or data-signal of user is the direct superposition to multiple RRH signals, and for single data-signal or
Energy signal, the transmission of different RRH are independent, therefore the RRH of global totality is determined by considering the model selection of each RRH
Mode selection scheme；Method particularly includes: for t-th of RRH, calculate the income and selection energy that it selects data-transmission mode
The income of transmission mode is compared the preferable mode of selection and is transmitted；It is walked according to the beam designing of step S41 and S2
Suddenly the handling capacity and energy found out obtains t-th of RRH and is expressed as to the data throughout of i-th of user with energy harvesting amount:
Income under both of which respectively indicates are as follows:
It is compared, ifThen t-th of RRH selects data-transmission mode, then selects energy transmission mould on the contrary
Formula；
S522, data transmission user's selection scheme of fixed S521 step output and RRH mode selection scheme, determine optimal
RRH power allocation scheme: t-th of RRH is respectively as follows: the data throughout of user i with the contribution of energy harvesting amount
Et,i=(1-rt)τ(1-li)ptξt,i
Wherein,
The sum of the evaluation function of all users of system are as follows:
And then it is as follows to obtain optimization aim:
By being solved to optimization aim, optimal the sum of evaluation function is acquired, obtains optimal RRH power allocation scheme；
The RRH power allocation scheme and RRH mode selection scheme that S523, fixed S522 step export, determine optimal data
Transmit user's selection scheme: comparison is using each user as the sum of system evaluation functions corresponding when data transmission user, then
Corresponding user is selected as optimal data transmission user's selection scheme, return step when choosing the sum of evaluation function maximum
S521；
S524, according to S521 → S522 → S523 → S521 → S522 → S523 → S521 sequence to S521, S522 and
S523 carries out loop iteration calculating, if the difference of the sum of evaluation function of adjacent iteration is less than the convergence threshold of setting twice,
Then think iteration convergence, stop iteration, obtains final data transmission user's selection scheme, RRH power allocation scheme and RRH mould
The joint optimization result of formula selection.
The beneficial effects of the present invention are:
1, the present invention solves the number of unjustness caused by user distance factor and different user in legacy cellular net
According to energy requirement different problems；In view of the frequency band differences of energy signal and data-signal, switched using RRH dynamic mode
The scheme chosen with optimal power allocation and user, and introduce an evaluation function and the data and energy requirement of user are carried out
Normalizing optimization flexibly coordinates demand of the different user to energy and data, is distributed by the optimization to power resource, hence it is evident that
Improve the handling capacity and energy harvesting performance of system totality；Mesh is carried out according to the different data of different user and energy requirement
The optimization of mark property, high degree improve satisfaction of the user based on data and energy；
2, by introducing the evaluation function of joint a data throughout and energy harvesting amount, we can accomplish cleverer
The data requirements and energy requirement of coordinates user living, therefore user can be better met, promote the performance of communication system.
Detailed description of the invention
Fig. 1 is resource allocation methods flow chart of the invention；
Fig. 2 is that number of the invention can integrated network illustraton of model.
Specific embodiment
Noun meaning:
DEIN: number can integrated network.Difference with traditional communication net be it not merely and can carry out network node it
Between data information interaction, the energy that can also be carried out between corresponding transmits mutually.
Beam forming: under multi-input multi-output system, transmitters and receivers are arranged with more antennas.It can pass through
The transmission power of every antenna is adjusted, transmitter phase and polarization mode etc. emit signal concentration towards extreme direction is received, because
This reduces power in the loss in other useless directions.At one end by all antennas send the vector that forms of signal be wave beam at
Shape vector.
C-RAN: cloud wireless access network.Data Layer and control layer are separated by way of distribution connection, Yong Huke
To realize the interaction of information by connection RRH, and multiple RRH then pass through center control pond and realize that resource-sharing and dynamic are adjusted
Degree, improves resource utilization and flexibility ratio.
Far end radio frequency head in RRH:C-RAN.Multiple RRH distributing distributions are accessed for user in the cell, alleviate side
The bottleneck problem of edge user, expands the network coverage.
Water-filling: when carrying out every antenna power distribution of beam forming, the antenna overabsorption power good to channel, letter
The antenna of road difference lacks distribution power, to maximize transmission rate.
Radio transmission efficiency: receiving end receives power and transmitting terminal sends the ratio of power, according to the difference of transferring content
Radio energy-transmitting efficiency and wireless biography number efficiency can be divided into again.
Technical solution of the present invention is further illustrated with reference to the accompanying drawing.
As shown in Figure 1, the resource allocation methods based on the switching of RRH dynamic mode in a kind of several energy integrated networks, including
Following steps:
S1, network model and transport protocol are determined；Number of the invention can integrated network models as shown in Fig. 2, user with
Communication between RRH is divided by time slot, and the messaging parameter (such as channel information) of each time slot may be different；This step
Specifically include following sub-step:
User's number is K in S11, note model scene, and each user has an antenna；A total of N number of RRH in scene,
Each RRH is fitted with M root antenna；Each RRH there are two types of operating mode, i.e. energy transmission mode and data-transmission mode,
Both of which can be switched accordingly according to demand；If the maximum transmission power of RRH is Pmax, all RRH due to center at
The management of device is managed, therefore overall transmission power also has a limitation, is defined asThe noise power for remembering interchannel is σ2；
Communication between S12, user and RRH is divided by time slot, dry in order to avoid conflicting for each time slot
It disturbs, only a user is allowed to carry out data transmission, and other users then carry out energy transmission, due to energy signal and data-signal
Frequency band it is different, therefore will not mutually generate interference；The optimal data of Systematic selection transmit user, while it is corresponding to choose each RRH
Number can transmission modes, define user and vector l selected, if user i carries out data transmission, to enable l in the time sloti=
1, if it carries out energy transmission, enable li=0；A RRH model selection vector r is defined, for t-th of RRH, if its
Data-transmission mode is selected, r is enabledt=1, otherwise enable rt=0.
S2, energy signal and data-signal that each user receives are calculated, and calculates the data throughout of each user
With energy harvesting amount；Concrete methods of realizing are as follows: in each time slot, the channel between t-th of RRH to i-th user is expressed as
ht,i, whereinThe unit beam designing of t-th of RRH isPower distribution is pt；The energy letter that user receives
It number is respectively indicated with data-signal are as follows:
The data-signal that i-th of user receives indicates are as follows:
Wherein,Represent ht,iConjugate transposition, z is white Gaussian noise, x0For the random signal of unit power；
The energy signal that i-th of user receives indicates are as follows:
In the time slot, according to Shannon's theorems, the data throughout of i-th of user are as follows:
In the time slot, according to Shannon's theorems, the energy harvesting amount summation of i-th of user are as follows:
For ωtConjugate transposition.
S3, evaluation function is defined, and optimization aim is determined according to evaluation function；Concrete methods of realizing are as follows: define a connection
Close evaluation function:
ηi=αiRi+βiEi
Wherein, αiAnd βiThe corresponding data factor of respectively each user i and energy factors, if some user i is preferred to
Data communication is carried out, then αiGreater than βiIf some user i prefers to progress, energy harvesting comes to equipment charge, βiGreatly
In αi；
In order to increase the sum of the satisfaction of all users of whole system, the sum of the evaluation function to user used in system is needed
It is maximized to get following optimization problem is arrived:
The restrictive condition for needing to meet are as follows:
C1:
C2:
C3:
C4:
C5:
The variable of optimization is that data transmit the selection of user, the selection of RRH both of which, RRH transmission function in each time slot
Rate distribution and the design of RRH transmission beam；Wherein, limitation C1 represents wave beam as a unit power vector；C2 is limited to represent each
The transmission power of RRH must not exceed the threshold value；Limitation C3 indicates that the transmission general power of all RRH of synchronization must not exceed this
Threshold value；Limitation C4, which represents each time slot at most, can only have a user to carry out data transmission, and other users can only carry out energy
Transmission；Limitation C5, which represents RRH at a time, can only choose one of mode progress signal transmission.
S4, the beam designing that data and energy transmission between optimal RRH and user are determined according to channel information；Specifically
Including following sub-step:
S41, determine that RRH designs the optimal beam of user under data-transmission mode: assuming that i-th of user carries out data biography
It is defeated, beam designing is carried out to t-th of RRH, since only one data transmits user, therefore utilizes the water-filling of beam designing,
Obtain optimal beam designing are as follows:
S42, determine that the RRH under energy transmission mode designs the optimal beam of user: the beam designing of t-th of RRH is set
For ωt, the set of an energy harvesting user is defined, is indicated with Φ, the signal of RRH transmission receives at all energy user ends
To totalizing wattmeter be shown as:
Wherein,
At this point, optimization problem is to makeIt maximizes, above-mentioned optimization problem is solved by quadratic form method,
The RRH obtained under energy transmission mode designs the optimal beam of user.
S5, suboptimization solution is carried out to the data transmission user in a time slot, RRH model selection, RRH power distribution,
Including following sub-step:
S51, data transmission user selection, RRH power distribution and RRH mode selection scheme in the time slot are initialized；Its
Specific implementation are as follows: since the complexity of optimal algorithm is relatively high and is difficult to realize, thus it is quasi- by a kind of Joint iteration
Suboptimization algorithm solved come the optimization problem described in step S3；It determines that a user is transmitted as data at random first to use
Family, other users then carry out energy transmission, then generate a kind of selection scheme of RRH mode at random, and meet optimization aim
In the 5th constraint, finally further according in optimization aim second and third constraint generate a kind of power allocation scheme at random, work
For the initialization of iterative algorithm.
S52, selection, the RRH function that data transmission user optimal in the time slot is found out using the sub-optimal algorithm of Dynamic iterations
Rate distribution and RRH mode selection scheme, and calculate the sum of the evaluation function of system in the time slot；Specifically include following sub-step
It is rapid:
S521, data transmission user's selection scheme of fixed last grey iterative generation and RRH power allocation scheme, for the first time
The data transmission user's selection scheme and RRH power allocation scheme that fixed initialization generates when iteration, solve optimal RRH mode
Selection scheme: since the power of each RRH transmission is it is known that root event finds out optimal RRH mode scheme according to power distribution；Due to
The energy signal or data-signal of user is the direct superposition to multiple RRH signals, and for single data-signal or
Energy signal, the transmission of different RRH are independent, therefore the RRH of global totality is determined by considering the model selection of each RRH
Mode selection scheme；Method particularly includes: for t-th of RRH, calculate the income and selection energy that it selects data-transmission mode
The income of transmission mode is compared the preferable mode of selection and is transmitted；It is walked according to the beam designing of step S41 and S2
Suddenly the handling capacity and energy found out obtains t-th of RRH and is expressed as to the data throughout of i-th of user with energy harvesting amount:
Income under both of which respectively indicates are as follows:
It is compared, ifThen t-th of RRH selects data-transmission mode, then selects energy transmission mould on the contrary
Formula；
S522, data transmission user's selection scheme of fixed S521 step output and RRH mode selection scheme, determine optimal
RRH power allocation scheme: t-th of RRH is respectively as follows: the data throughout of user i with the contribution of energy harvesting amount
Et,i=(1-rt)τ(1-li)ptξt,i
Wherein,
The sum of the evaluation function of all users of system are as follows:
And then it is as follows to obtain optimization aim:
By being solved to optimization aim, optimal the sum of evaluation function is acquired, obtains optimal RRH power allocation scheme；
The RRH power allocation scheme and RRH mode selection scheme that S523, fixed S522 step export, determine optimal data
Transmit user's selection scheme: comparison is using each user as the sum of system evaluation functions corresponding when data transmission user, then
Corresponding user is selected as optimal data transmission user's selection scheme, return step when choosing the sum of evaluation function maximum
S521；
S524, according to S521 → S522 → S523 → S521 → S522 → S523 → S521 sequence to S521, S522 and
S523 carries out loop iteration calculating, if the difference of the sum of evaluation function of adjacent iteration is less than the convergence threshold of setting twice,
Then think iteration convergence, stop iteration, obtains final data transmission user's selection scheme, RRH power allocation scheme and RRH mould
The joint optimization result of formula selection.
S6, are successively carried out by suboptimization and is asked for the data transmission user in each time slot, RRH model selection, RRH power distribution
Solution, the selection of the maximum time slot of the sum of evaluation function of selecting system corresponding data transmission user, RRH power distribution and
Optimal selection of the RRH model selection as system, and RRH is calculated according to the method for step S4, the optimal beam of user is designed,
The global optimization of completion system.
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 (5)
1. the resource allocation methods based on the switching of RRH dynamic mode in number energy integrated network, which is characterized in that including following step
It is rapid:
S1, network model and transport protocol are determined；Communication between user and RRH is divided by time slot；Including following sub-step
It is rapid:
User's number is K in S11, note network model, and each user has an antenna；A total of N number of RRH in network model,
Each RRH is fitted with M root antenna；Each RRH there are two types of operating mode, i.e. energy transmission mode and data-transmission mode,
Two kinds of operating modes are switched accordingly according to demand；If the maximum transmission power of RRH is Pmax, all RRH due to center at
The management of device is managed, therefore overall transmission power has a limitation, is defined asThe noise power for remembering interchannel is σ2；
Communication between S12, user and RRH is divided by time slot, for each time slot, in order to avoid conflict interference, only
A user is allowed to carry out data transmission, and other users then carry out energy transmission, due to the frequency of energy signal and data-signal
Band is different, therefore will not mutually generate interference；The optimal data of Systematic selection transmit user, while choosing the corresponding work of each RRH
Operation mode defines a user and vector l is selected, if user i carries out data transmission, to enable l in the time sloti=1, if its
Energy transmission is carried out, then enabling li=0；A RRH operating mode selection vector r is defined, for t-th of RRH, if it is selected
Data-transmission mode enables rt=1, otherwise enable rt=0；
S2, energy signal and data-signal that each user receives are calculated, and calculates the data throughout and energy of each user
Measure harvesting amount；
S3, evaluation function is defined, and optimization aim is determined according to evaluation function；Concrete methods of realizing are as follows: define evaluation function are as follows:
ηi=αiRi+βiEi
Wherein, αiAnd βiThe corresponding data factor of respectively each user i and energy factors, if some user i prefers to carry out
Data transmission, then αiGreater than βiIf some user i prefers to progress, energy transmission is come to equipment charge, βiIt is greater than
αi；
In order to increase the sum of the satisfaction of all users of whole system, need to carry out the sum of evaluation function of all users of system
It maximizes to get following optimization aim is arrived:
The restrictive condition for needing to meet are as follows:
C1:
C2:
C3:
C4:
C5:
The unit beam designing of t-th of RRH isPower distribution is pt；The data throughout of i-th of user is Ri, i-th
The energy harvesting amount of a user is Ei；
The variable of optimization is selection r, RRH transmission of selection two kinds of operating modes of l, RRH that data transmit user in each time slot
Power distribution p and RRH transmission beam designs ω；Wherein, restrictive condition C1 represents wave beam as a unit power vector；Limit item
The transmission power that part C2 represents each RRH must not exceed Pmax；The transmission total work of restrictive condition C3 expression all RRH of synchronization
Rate must not exceedRestrictive condition C4, which represents each time slot at most, can only have a user to carry out data transmission, and other users are only
It can be carried out energy transmission；Restrictive condition C5, which represents RRH at a time, can only choose one of mode progress signal transmission；
S4, the beam designing that data and energy transmission between optimal RRH and user are determined according to channel information；
S5, the data transmission user in a time slot, the selection of RRH operating mode, RRH power distribution carry out suboptimization solution,
Including following sub-step:
S51, data transmission user selection, RRH power distribution and RRH operating mode selection scheme in the time slot are initialized；
S52, selection, the RRH power point that data transmission user optimal in the time slot is found out using the sub-optimal algorithm of Dynamic iterations
Match and RRH operating mode selection scheme, and calculates the sum of the evaluation function of system in the time slot；
S6, the data transmission user in each time slot, the selection of RRH operating mode, RRH power distribution successively carry out suboptimization and ask
Solution, the selection of the maximum time slot of the sum of evaluation function of selecting system corresponding data transmission user, RRH power distribution and
RRH operating mode is selected as the optimal selection of system, and calculates RRH according to the method for step S4 and set to the optimal beam of user
Meter, completes the global optimization of system.
2. the resource allocation methods based on the switching of RRH dynamic mode in number energy integrated network according to claim 1,
It is characterized in that, the step S2 concrete methods of realizing are as follows: the channel in each time slot, between t-th of RRH to i-th user
It is expressed as ht,i, whereinThe unit beam designing of t-th of RRH isPower distribution is pt；What user received
Energy signal is respectively indicated with data-signal are as follows:
The data-signal that i-th of user receives indicates are as follows:
Wherein,Represent ht,iConjugate transposition, z is white Gaussian noise, x0For the random signal of unit power；
The energy signal that i-th of user receives indicates are as follows:
In the time slot, according to Shannon's theorems, the data throughout of i-th of user are as follows:
In the time slot, according to Shannon's theorems, the energy harvesting amount of i-th of user are as follows:
For ωtConjugate transposition.
3. the resource allocation methods based on the switching of RRH dynamic mode in number energy integrated network according to claim 2,
It is characterized in that, the step S4 includes following sub-step:
S41, determine that RRH designs the optimal beam of user under data-transmission mode: assuming that i-th of user carries out data transmission,
Beam designing is carried out to t-th of RRH, since only one data transmits user, therefore the water-filling of beam designing is utilized, obtains
Optimal beam designing are as follows:
S42, determine that the RRH under energy transmission mode designs the optimal beam of user: the beam designing of t-th of RRH is set as ωt,
The set for defining an energy transmission user, is indicated with Φ, and the signal of RRH transmission is received in all energy transmission user terminals
Totalizing wattmeter be shown as:
Wherein,
At this point, optimization problem is to makeIt maximizes, above-mentioned optimization problem is solved by quadratic form method, is obtained
RRH under energy transmission mode designs the optimal beam of user.
4. the resource allocation methods based on the switching of RRH dynamic mode in number energy integrated network according to claim 3,
It is characterized in that, the specific implementation of the step S51 are as follows: a kind of quasi- sub-optimal algorithm by Dynamic iterations is come to step S3 institute
Optimization aim is stated to be solved；Determining that a user transmits user as data at random first, other users then carry out energy transmission,
Then generate a kind of selection scheme of RRH operating mode at random, and meet restrictive condition C5 in optimization aim, finally further according to
Restrictive condition C2 and restrictive condition C3 generate a kind of power allocation scheme at random in optimization aim, and the suboptimum as Dynamic iterations is calculated
The initialization of method.
5. the resource allocation methods based on the switching of RRH dynamic mode in number energy integrated network according to claim 4,
It is characterized in that, the step S52 includes following sub-step:
S521, data transmission user's selection scheme of fixed last grey iterative generation and RRH power allocation scheme, first time iteration
When data transmission user's selection scheme for generating of fixed initialization and RRH power allocation scheme, solve optimal RRH operating mode
Selection scheme: since the power of each RRH transmission is it is known that therefore find out optimal RRH operating mode selection according to power distribution
Scheme；Since the energy signal or data-signal of user are the direct superpositions to multiple RRH signals, and it is directed to single number
It is believed that number or energy signal, the transmission of different RRH be independent, therefore determine the overall situation by considering the model selection of each RRH
Overall RRH operating mode selection scheme；Method particularly includes: for t-th of RRH, calculates it and select data-transmission mode
The income of income and selection energy transmission mode is compared the preferable mode of selection and is transmitted；According to step S41's
The data throughout and energy harvesting amount that beam designing and S2 step are found out, obtain t-th of RRH and gulp down to the data of i-th of user
The amount of spitting is expressed as with energy harvesting amount:
Income under both of which respectively indicates are as follows:
It is compared, ifThen t-th of RRH selects data-transmission mode, then selects energy transmission mode on the contrary；
The data transmission user's selection scheme and RRH operating mode selection scheme that S522, fixed S521 step export, determine optimal
RRH power allocation scheme: t-th of RRH is respectively as follows: the data throughout of user i with the contribution of energy harvesting amount
Et,i=(1-rt)τ(1-li)ptξt,i
Wherein,
The sum of the evaluation function of all users of system are as follows:
And then it is as follows to obtain optimization aim:
By being solved to optimization aim, optimal the sum of evaluation function is acquired, obtains optimal RRH power allocation scheme；
The RRH power allocation scheme and RRH operating mode selection scheme that S523, fixed S522 step export, determine optimal data
Transmit user's selection scheme: comparison is using each user as the sum of system evaluation functions corresponding when data transmission user, then
Corresponding user is selected as optimal data transmission user's selection scheme when choosing the sum of evaluation function maximum；
S524, loop iteration calculating is carried out to S521, S522 and S523, if the difference of the sum of evaluation function of adjacent iteration twice
It is worth the convergence threshold set less than one, then it is assumed that iteration convergence stops iteration, obtains data transmission optimal in the time slot and uses
Family selection scheme, RRH power allocation scheme and RRH operating mode select.
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