CN107124757B - A kind of power distribution method of mixed tensor power supply distributing antenna system - Google Patents
A kind of power distribution method of mixed tensor power supply distributing antenna system Download PDFInfo
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- CN107124757B CN107124757B CN201710159607.8A CN201710159607A CN107124757B CN 107124757 B CN107124757 B CN 107124757B CN 201710159607 A CN201710159607 A CN 201710159607A CN 107124757 B CN107124757 B CN 107124757B
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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
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/36—TPC using constraints in the total amount of available transmission power with a discrete range or set of values, e.g. step size, ramping or offsets
- H04W52/367—Power values between minimum and maximum limits, e.g. dynamic range
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
- H04B17/3911—Fading models or fading generators
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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
- 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 a kind of mixed tensor power supply distributing antenna system power distribution method, comprising the following steps: S1: obtain all antenna elements to user k channel fading coefficient hk=[h1,k,h2,k,…,hM,k], wherein hm,kIndicate that the channel fading coefficient of antenna element m to user k, M indicate antenna element sum；S2: obtaining the energy of antenna element acquisition, establish the mathematic optimal model of power distribution, converts mathematic optimal model to dual problem of equal value using Lagrange duality method, and with the power of subgradient method coordinated allocation user in each antenna element.The present invention can significantly reduce the grid power consumption of distributing antenna system.
Description
Technical field
The present invention relates to wireless communication technology fields, more particularly to a kind of mixed tensor power supply distributing antenna system
Power distribution method.
Background technique
Distributing antenna system (Distributed Antenna Systems, DAS) is due to distance connection unit
(Remote Access Units, RAU) is distributed, and is reduced the distance between user and antenna, can be saved transmission function
Rate improves system performance, has obtained extensive concern and research in academia.But with the increase of RAU and transmission antenna number,
Huge energy consumption and limited power supply are one of urgent problems.
Energy acquisition (Energy-Harvesting, the EH) technology emerging as one, if distributed day can be applied to
In linear system system, then the renewable energy of nature can be fully utilized, effectively alleviate power grid power supply and supplied with finite energy
The problem of.But due to the randomness and intermittence of energy acquisition, it is difficult to ensure that the stabilization of communication system and offer are lasting
QoS demand.In order to which preferably using the energy of acquisition, the present invention has studied a kind of spaced antenna system of mixed tensor supply
System.RAU preferentially uses the energy of acquisition, the energy by power grid power supply as a kind of deposit, i.e., when the energy of system acquisition cannot
When meeting the needs of users, powered using power grid energy.
The existing extensive research of power distribution problems in distributing antenna system, document 1 (Zhang X, Sun Y, Chen
X,et al.Distributed power allocation for coordinated multipoint transmissions
in distributed antenna systems[J].IEEE Transactions on Wireless
Communications, 2013,12 (5): 2281-2291.) have studied the power distribution problems for maximizing user and rate.Text
Offer 2 (Yan J, Li J, Zhao L.Joint user scheduling and power allocation with quality
of service guarantees in downlink distributed antennas system[J].IET
Communications, 2014,8 (3): 299-307.) give the minimum total system power consumption in the case where meeting user's QoS demand
Power allocation scheme.In EH communication system, (Ozel O, the Ulukus S.Achieving AWGN capacity of document 3
under stochastic energy harvesting[J].IEEE Transactions on Information
Theory, 2012,58 (10): 6471-6483.) power distribution problems that have studied point-to-point communication, pass through orientation water-filling method
Obtain optimal power allocation scheme.Also there is correlative study (the Dhillon H of power distribution in energy acquisition type heterogeneous network
S,Li Y,Nuggehalli P,et al.Fundamentals of heterogeneous cellular networks
with energy harvesting[J].IEEE Transactions on Wireless Communications,2014,
13(5):2782-2797.).However, how RAU is more effectively using adopting in the distributing antenna system of mixed tensor supply
The research that the energy and power grid energy of collection carry out power distribution to user is fewer.
Summary of the invention
Goal of the invention: the object of the present invention is to provide it is a kind of be able to solve exist in the prior art defect mixed tensor confession
The power distribution method of electric distributing antenna system.
Technical solution: to reach this purpose, the invention adopts the following technical scheme:
The power distribution method of mixed tensor power supply distributing antenna system of the present invention, comprising the following steps:
S1: obtain all antenna elements to user k channel fading coefficient hk=[h1,k,h2,k,…,hM,k], wherein hm,k
Indicate that the channel fading coefficient of antenna element m to user k, M indicate antenna element sum；
S2: the energy of antenna element acquisition is obtained, the mathematic optimal model of power distribution is established, using Lagrange duality
Method converts mathematic optimal model to dual problem of equal value, and coordinated allocation is used in each antenna element with subgradient method
The power at family.
Further, the step S2 the following steps are included:
S2.1: antenna element carries out energy acquisition, obtains rechargeable energy；
S2.2: the mathematical model of the power distribution optimization problem of mixed tensor power supply distributing antenna system is established, such as formula
(1) and shown in (2):
Wherein, K indicates user's number, and M indicates antenna element sum,Indicate the power grid of antenna element m distributing user k
Power,Indicate the power of antenna element m distributing user k collecting energy,
Indicate the rate of k-th of user,The additive white Gaussian noise of expression system,It is the maximum transmission power of antenna element m,
RminIndicate the rate for meeting user QoS guarantee, hm,kIndicate the channel response between antenna element m and user k；
S2.3: by Lagrange duality method, dual problem is converted by the step S2.2 mathematical model proposed, such as formula
(3) shown in:
In formula (3),Wherein L (p, λ, μ, Ω) is the mathematical model of step S2.2
Lagrangian, λ, μ, Ω is corresponding Lagrange multiplier, and p is power allocation vector；
S2.4: it is distributed, is obtained and antenna element phase using the optimal grid power of subgradient algorithm iterative solution dual problem
The Lagrange multiplier λ of passmAnd Lagrange multiplier μ related to userk；
S2.5: according to given convergence precision ε, whether determination method restrains, if restraining and being optimal solution, stops counting
It calculates and returns to optimal power allocation；It if not optimal solution or does not restrain, then updates Lagrange multiplier λmWith μk, return step
S2.4。
The utility model has the advantages that the invention discloses a kind of power distribution methods of mixed tensor power supply distributing antenna system, no
It is only applicable to traditional distributing antenna system to distribute to send minimum power as target power, is equally applicable to hybrid power supply
Distributing antenna system.Mixed tensor powering mode can flexibly control grid power consumption in a certain range, will
The energy that power grid is powered as a kind of deposit, System Priority is using the energy bearing data service acquired, when the energy of acquisition is deficient
It reactive volt-ampere hour is powered with power grid and guarantees data transmission.Using power distribution method proposed by the present invention, distribution can be significantly reduced
The grid power of antenna system consumes.
Detailed description of the invention
Fig. 1 is the schematic diagram of the mixed tensor power supply distributing antenna system of the specific embodiment of the invention；
Fig. 2 is the stream of the power distribution method of the mixed tensor power supply distributing antenna system of the specific embodiment of the invention
Cheng Tu；
When Fig. 3 is mixed tensor power supply system energy acquisition scarcity, the power distribution figure of RAU；
When Fig. 4 is mixed tensor power supply system energy acquisition abundance, the power distribution figure of RAU.
Specific embodiment
Technical solution of the present invention is further introduced with reference to the accompanying drawings and detailed description.
Consider that mixed tensor supplies single cell downlink multiuser distributed antenna system, it is assumed that have K user and M in cell
A RAU, the RAU in cell are connected to central processing unit CU (Center Unit) by optical fiber, it is assumed here that RAU and user
It is single antenna.RAU uses combined power supply way, on the other hand the autonomous collecting energy of one side RAU itself works as collecting energy
When being insufficient for the QoS guarantee of user, powered using power grid energy.The transmission power of m-th of RAU to user k is pm,k, it
Including two parts: a part is the energy of acquisitionA part is from power grid energySo hair of antenna element m
It is sent to the power p of user km,kFor
Assuming that transmitting terminal and receiving end all known channel state information CSI, channel status hk=[h1,k,h2,k,…,hM,k]H
Comprising multipath fading and large-scale fading, wherein hm,k=gm,kβm,k。gm,kIndicate that the small scale of m-th of RAU to user k declines
It falls, is the independent identically distributed multiple Gauss stochastic variable of zero mean unit variance.βm,kIt is corresponding large-scale fading.Assuming that institute
There is RAU to send data cooperatively and flow to user k, then user's k transmission rate RkIt can indicate are as follows:
WhereinIndicate the grid power of antenna element m distributing user k,Indicate that antenna element m distributing user k is adopted
Collect the power of energy,The additive white Gaussian noise of expression system.Assuming that the maximum transmission power of m-th of RAU isThat
For each RAU, corresponding power limited constraint can be indicated are as follows:
Fig. 1 is mixed tensor power supply distributing antenna system example schematic, includes 2 RAU and 2 users in figure.RAU
Renewable energy can either be automatically acquired, while also receiving power grid power supply.System Priority carries data using the energy of acquisition
Business is powered with power grid when the energy starvation of acquisition and guarantees data transmission.
Present embodiment discloses a kind of power distribution method of mixed tensor power supply distributing antenna system, such as schemes
Shown in 2, comprising the following steps:
S1: obtain all antenna elements to user k channel fading coefficient hk=[h1,k,h2,k,…,hM,k], wherein hm,k
Indicate that the channel fading coefficient of antenna element m to user k, M indicate antenna element sum；
S2: the energy of antenna element acquisition is obtained, the mathematic optimal model of power distribution is established, using Lagrange duality
Method converts mathematic optimal model to dual problem of equal value, and coordinated allocation is used in each antenna element with subgradient method
The power at family.
Step S2 the following steps are included:
S2.1: antenna element carries out energy acquisition, obtains rechargeable energy；
S2.2: the mathematical model of the power distribution optimization problem of mixed tensor power supply distributing antenna system is established, such as formula
(4) and shown in (5):
Wherein, K indicates user's number, and M indicates antenna element sum,Indicate the power grid of antenna element m distributing user k
Power,Indicate the power of antenna element m distributing user k collecting energy,
Indicate the rate of k-th of user,The additive white Gaussian noise of expression system,It is the maximum transmission power of antenna element m,
RminIndicate the rate for meeting user QoS guarantee, hm,kIndicate the channel response between antenna element m and user k；
S2.3: by Lagrange duality method, dual problem is converted by the step S2.2 mathematical model proposed, such as formula
(6) shown in:
In formula (6),Wherein L (p, λ, μ, Ω) is the mathematical model of step S2.2
Lagrangian, λ, μ, Ω is corresponding Lagrange multiplier, and p is power allocation vector；
S2.4: it is distributed, is obtained and antenna element phase using the optimal grid power of subgradient algorithm iterative solution dual problem
The Lagrange multiplier λ of passmAnd Lagrange multiplier μ related to userk；
S2.5: according to given convergence precision ε, whether determination method restrains, if restraining and being optimal solution, stops counting
It calculates and returns to optimal power allocation；It if not optimal solution or does not restrain, then updates Lagrange multiplier λmWith μk, return step
S2.4。
Fig. 3 and Fig. 4 gives when energy acquisition deficiency and abundance, and mixed tensor powers distributing antenna system at two kinds
Power allocation case under power supply mode.As can be seen from Figure 3 when system capacity acquires scarcity, mixed tensor supply system
The power distribution of power distribution and single power supply system is about the same, and the energy of acquisition has little influence on the power distribution of system.
But when the energy abundance of RAU acquisition, as shown in figure 4, can not only reduce the energy of itself RAU power grid power supply, but also can
To reduce the power grid power supply of other RAU significantly.
Claims (1)
1. a kind of power distribution method of mixed tensor power supply distributing antenna system, it is characterised in that: the following steps are included:
S1: obtain all antenna elements to user k channel fading coefficient hk=[h1,k,h2,k,…,hM,k], wherein hm,kIndicate day
The channel fading coefficient of line unit m to user k, M indicate antenna element sum；
S2: the energy of antenna element acquisition is obtained, the mathematic optimal model of power distribution is established, using Lagrange duality method
Convert mathematic optimal model to dual problem of equal value, and with subgradient method in each antenna element coordinated allocation user
Power；
The step S2 the following steps are included:
S2.1: antenna element carries out energy acquisition, obtains rechargeable energy；
S2.2: establishing the mathematical model of the power distribution optimization problem of mixed tensor power supply distributing antenna system, such as formula (1) and
(2) shown in:
Wherein, K indicates user's number, and M indicates antenna element sum,Indicate the grid power of antenna element m distributing user k,Indicate the power of antenna element m distributing user k collecting energy,Table
Show the rate of k-th of user,The additive white Gaussian noise of expression system,It is the maximum transmission power of antenna element m,
RminIndicate the rate for meeting user QoS guarantee, hm,kIndicate the channel response between antenna element m and user k；
S2.3: by Lagrange duality method, dual problem is converted by the step S2.2 mathematical model proposed, such as formula (3)
It is shown:
In formula (3),Wherein L (p, λ, μ, Ω) is the drawing of the mathematical model of step S2.2
Ge Lang function, λ, μ, Ω are corresponding Lagrange multiplier, and p is power allocation vector；
S2.4: it is distributed, is obtained relevant to antenna element using the optimal grid power of subgradient algorithm iterative solution dual problem
Lagrange multiplier λmAnd Lagrange multiplier μ related to userk；
S2.5: according to given convergence precision ε, whether determination method restrains, if restraining and being optimal solution, stops calculating simultaneously
Return to optimal power allocation；It if not optimal solution or does not restrain, then updates Lagrange multiplier λmWith μk, return step S2.4.
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| CN109041277B (en) * | 2018-08-16 | 2021-04-02 | 广西师范大学 | Low-complexity EH distributed base station system energy sharing and power distribution method |
| CN109495139A (en) * | 2018-10-11 | 2019-03-19 | 深圳大学 | A kind of distributing antenna system and power distribution method |
| CN110350960B (en) * | 2019-08-15 | 2020-11-03 | 西安科技大学 | Power distribution method of large-scale antenna array based on hybrid power supply |
| CN110677904B (en) * | 2019-09-16 | 2021-08-31 | 广西师范大学 | Power distribution method of EH distributed base station system independent of power grid |
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