CN108513321B - Wireless communication system energetic optimum resource allocation system based on cloud processing - Google Patents
Wireless communication system energetic optimum resource allocation system based on cloud processing Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
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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
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
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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
- H04W72/541—Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference
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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
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- General Physics & Mathematics (AREA)
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Abstract
The present invention provides the wireless communication system energetic optimum resource allocation systems handled based on cloud, including information collection module, network power distribution module, interference processing module and virtual machine distribution module；Information collection module is sent to cloud Base-Band Processing center for collecting channel information, and by channel information, wherein channel information includes high speed network channel information and Wide Area Network channel information；Processing module is interfered, is connected with information collection module, for utilizing high speed network channel information and Wide Area Network channel information, eliminates the signal interference of system beyond the clouds；Virtual machine distribution module, is connected with information collection module, for distributing resources of virtual machine beyond the clouds for the network user；Network power distribution module is connected with virtual machine distribution module, for distributing the transimission power of all users.The present invention can optimize cloud computing resource and power resource allocation, reduce system energy consumption, optimization system performance.
Description
Technical field
The present invention relates to resource allocation techniques fields in wireless communication, more particularly, to the wireless communication system handled based on cloud
System energetic optimum resource allocation system.
Background technique
With the development of mobile communication, growing communication requirement brings the increasing pressure to communication network.
Constantly to miniaturization, densification development, conventional wireless accesses independent cloth station, independent working mode face in net for mobile base station
Face low spectrum efficiency, construction and the high problem of maintenance cost.
Therefore, the energetic optimum resource allocation problem in the construction of current mobile communication has become urgent problem to be solved.
Summary of the invention
In view of this, the purpose of the present invention is to provide the wireless communication system energetic optimum resource allocations handled based on cloud
System can optimize cloud computing resource and power resource allocation, reduce system energy consumption, optimization system performance.
In a first aspect, the embodiment of the invention provides the wireless communication system energetic optimum resource allocation systems handled based on cloud
System, including information collection module, network power distribution module and cloud Base-Band Processing center, wherein the cloud Base-Band Processing
Center includes interference processing module and virtual machine distribution module；
The information collection module is connected with cloud Base-Band Processing center, for collecting channel information, and by institute
State channel information and be sent to cloud Base-Band Processing center, wherein the channel information include high speed network channel information and
Wide Area Network channel information；
The interference processing module, is connected with the information collection module, for being believed using the high speed network channel
Breath and the Wide Area Network channel information eliminate the signal interference of system beyond the clouds；
The virtual machine distribution module, is connected with the information collection module, for according to the high speed network channel
Information and the Wide Area Network channel information distribute resources of virtual machine beyond the clouds for the network user；
The network power distribution module is connected, for distributing the biography of all users with the virtual machine distribution module
Defeated power.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute
Stating information collection module includes high speed network channel information collection module and Wide Area Network channel information collection module；
The high speed network channel information collection module, the high speed network channel for collecting high speed network user are believed
Breath；
The Wide Area Network channel information collection module, the Wide Area Network channel for collecting Wide Area Network user are believed
Breath.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides second of first aspect
Possible embodiment, wherein the network power distribution module includes high speed network power distribution module and Wide Area Network function
Rate distribution module；
The Wide Area Network power distribution module, for distributing Wide Area Network user's first network transimission power；
The high speed network power distribution module, for distributing the second network transmitting power of high speed network user.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein institute
Stating virtual machine distribution module includes high speed network virtual machine distribution module and Wide Area Network virtual machine distribution module；
The high speed network virtual machine distribution module, for distributing resources of virtual machine beyond the clouds for high speed network user；
The Wide Area Network virtual machine distribution module, for distributing resources of virtual machine beyond the clouds for Wide Area Network user.
The possible embodiment of second with reference to first aspect, the embodiment of the invention provides the 4th kind of first aspect
Possible embodiment, wherein the high speed network includes multiple Remote Radio Unit.
The 4th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 5th kind of first aspect
Possible embodiment, wherein the high speed network channel information includes that the high speed network user draws to each radio frequency
The uplink channel information of remote unit, the Wide Area Network channel information includes downlink of the Wide Area Network to the Wide Area Network user
The channel information of channel information and the Wide Area Network to each Remote Radio Unit.
The 4th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 6th kind of first aspect
Possible embodiment, wherein the first network transimission power is the uplink power of all high speed network users,
Second network transmitting power is the downlink transmission power of all Wide Area Network users.
The 4th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 7th kind of first aspect
Possible embodiment, wherein the high speed network is for covering densely populated region, and the high speed network and described wide
Domain network share spectrum transmissions signal.
The 4th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 8th kind of first aspect
Possible embodiment, wherein the high speed network and the Wide Area Network are connected with cloud Base-Band Processing center.
Second aspect, the embodiment of the invention provides the wireless communication system energetic optimum resource allocation systems handled based on cloud
System, including the wireless communication system energetic optimum resource allocation system as described above based on cloud processing, further includes:
The uplink power of high speed network user is with maximum power transfer.
The present invention provides the wireless communication system energetic optimum resource allocation systems handled based on cloud, including information to collect
Module, network power distribution module, interference processing module and virtual machine distribution module；Information collection module, for collecting channel
Information, and channel information is sent to cloud Base-Band Processing center, wherein channel information includes high speed network channel information and wide
Domain network channel information；Processing module is interfered, is connected with information collection module, for using high speed network channel information and extensively
Domain network channel information eliminates the signal interference of system beyond the clouds；Virtual machine distribution module, is connected with information collection module,
For being beyond the clouds that the network user distributes resources of virtual machine；Network power distribution module is connected with virtual machine distribution module, uses
In the transimission power for distributing all users.The present invention can optimize cloud computing resource and power resource allocation, reduce system
Energy consumption, optimization system performance.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is that the wireless communication system energetic optimum resource allocation system provided in an embodiment of the present invention based on cloud processing shows
It is intended to；
Fig. 2 is another wireless communication system energetic optimum resource allocation system based on cloud processing provided in an embodiment of the present invention
System schematic diagram；
Fig. 3 is the wireless communication system schematic diagram provided in an embodiment of the present invention based on cloud processing；
Fig. 4 is virtual machine provided in an embodiment of the present invention and power allocation scheme contrast schematic diagram.
Icon:
10- information collection module；20- network power distribution module；21- high speed network power distribution module；22- wide area network
Network power distribution module；30- interferes processing module；40- virtual machine distribution module；41- high speed network virtual machine distribution module；
42- Wide Area Network virtual machine distribution module.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
With the development of mobile communication, growing communication requirement brings the increasing pressure to communication network.
Constantly to miniaturization, densification development, conventional wireless accesses independent cloth station, independent working mode face in net for mobile base station
Face low spectrum efficiency, construction and the high problem of maintenance cost.Therefore, the energetic optimum resource in the construction of current mobile communication is matched
The problem of setting has become urgent problem to be solved.Based on this, the wireless communication system provided in an embodiment of the present invention based on cloud processing
Cloud computing resource is modeled as resources of virtual machine by energetic optimum resource allocation system, in the condition for meeting user's communication delay
Under, optimal virtual machine distribution and power distribution mode is obtained, minimizes system capacity consumption, complexity is lower.
Embodiment one:
Fig. 1 is that the wireless communication system energetic optimum resource allocation system provided in an embodiment of the present invention based on cloud processing shows
It is intended to.
Referring to Fig.1, the wireless communication system energetic optimum resource allocation system based on cloud processing includes information collection module
10, network power distribution module 20 and cloud Base-Band Processing center, wherein cloud Base-Band Processing center includes interference processing module
30 and virtual machine distribution module 40；
Information collection module 10 is connected with cloud Base-Band Processing center, for collecting channel information, and by channel information
It is sent to cloud Base-Band Processing center, wherein channel information includes high speed network channel information and Wide Area Network channel information；
Processing module 30 is interfered, is connected with information collection module, for utilizing high speed network channel information and wide area network
Network channel information eliminates the signal interference of system beyond the clouds；
Virtual machine distribution module 40, is connected with information collection module, for according to high speed network channel information and wide area
Network channel information distributes resources of virtual machine beyond the clouds for the network user；
Network power distribution module 20 is connected with virtual machine distribution module, for distributing the transimission power of all users.
Further, as shown in Fig. 2, information collection module 10 includes high speed network channel information collection module 11 and wide area
Network channel information collection module 12；
High speed network channel information collection module 11, for collecting the high speed network channel information of high speed network user；
Wide Area Network channel information collection module 12, for collecting the Wide Area Network channel information of Wide Area Network user.
Further, network power distribution module 20 includes high speed network power distribution module 21 and Wide Area Network power point
With module 22；
Wide Area Network power distribution module 21, for distributing Wide Area Network user's first network transimission power；
High speed network power distribution module 22, for distributing the second network transmitting power of high speed network user.
Further, virtual machine distribution module 40 includes high speed network virtual machine distribution module 41 and Wide Area Network virtual machine
Distribution module 42；
High speed network virtual machine distribution module 41, for distributing resources of virtual machine beyond the clouds for high speed network user；
Wide Area Network virtual machine distribution module 42, for distributing resources of virtual machine beyond the clouds for Wide Area Network user.
Further, high speed network includes multiple Remote Radio Unit.
Further, high speed network channel information includes up channel of the high speed network user to each Remote Radio Unit
Information, Wide Area Network channel information include that the descending channel information and Wide Area Network of Wide Area Network to Wide Area Network user arrive
The channel information of each Remote Radio Unit.
Further, first network transimission power is the uplink power of all high speed network users, and the second network passes
Defeated power is the downlink transmission power of all Wide Area Network users.
Further, high speed network is for covering densely populated region, and high speed network and Wide Area Network share frequency spectrum
Transmit signal.
Further, high speed network and Wide Area Network are connected with cloud Base-Band Processing center.
Further, the uplink power of high speed network user is with maximum power transfer.
Embodiment two:
Novel radio access net C-RAN (Cloud Radio Access Network) based on cloud processing is suggested under
The new network architecture in generation communication.
Different from traditional independent cloth station, independent working mode, in C-RAN, system is by Remote Radio Unit (remote
Radio heads, RRH) and cloud Base-Band Processing center (baseband unit, BBU) composition.All RRH are connected to cloud
BBU, signal processing beyond the clouds BBU carry out.By realizing resource-sharing for the control plane of system and data surface separation
With dynamic dispatching, system spectral efficiency can be effectively improved, reduces operation cost.
The rapid development of mobile communication brings a large amount of construction of base station, so that energy consumption problem becomes important in mobile communication
Problem, by means of the framework of centralized processing, is conducive to optimization system energy in C-RAN, reduces energy consumption, therefore study base
The logical resource allocation methods of energetic optimum are also particularly important in the wireless communication system of cloud processing.In embodiments of the present invention,
It proposes a kind of wireless communication system energetic optimum resource allocation system based on cloud processing, the energy dose-effect of system can be effectively improved
Rate.
In the scheme of the embodiment of the present invention, high speed dense network (abbreviation high speed network) and wide area coverage network are (referred to as wide
Domain network) joint covering is carried out to terrestrial user, wherein high speed network is made of L RRH (loading N antenna), is mainly covered close
Collect demographic region, K single-antenna subscriber of cooperation with service.Wide Area Network (loading M antenna) can provide for users all in system
The covering of wide area is transmitted, and the user that can not be predominantly covered by high speed network provides additional coverage, while being serviced M single antenna and being used
Family.System high speed network and Wide Area Network share spectrum transmissions signal, and it is contemplated that high speed network uplink and wide
Domain network downstream transmits the scene of frequency altogether.
Since Wide Area Network user is positioned at no high speed network overlay area, high speed network suffered by Wide Area Network user can be ignored
Network interference, system interference is mainly interference of the Wide Area Network downlink to high speed network uplink.It is handled based on cloud, the control of system
Face and data surface separation, high speed network and Wide Area Network are all connected with cloud Base-Band Processing center, and all signal processings are in base
Tape handling center carries out, and all resource allocations and interference management also carry out beyond the clouds.Beyond the clouds to the energy of whole system into
Row optimization obtains the computing resource and power resource allocation mode of energetic optimum in the case where meeting user's communication delay constraint condition.
The embodiment of the present invention can be divided into following 6 modules, referring to shown in Fig. 2: information collection module 10, interference processing module
30, high speed network power distribution module 22, high speed network virtual machine distribution module 41, Wide Area Network virtual machine distribution module 42,
Wide Area Network power distribution module 21.
Firstly, information collection module 10 is channel information needed for collection system.Including following 2 parts: high speed network
Channel information collection module, Wide Area Network channel information collection module.
The function of high speed network channel information collection module is that the up channel for collecting high speed network user to each RRH is believed
Breath.
Using pilot tone, estimate all high speed network users to all RRH channel information.
Assuming that RRH quantity is L, high speed network number of users is K, and each RRH antenna amount is N.
The channel of user k to RRHl is hl,k。
The function of Wide Area Network channel information collection module is the down channel for collecting Wide Area Network to Wide Area Network user
The channel information of information and Wide Area Network to each RRH.
Using pilot tone, the channel information of estimation Wide Area Network to all Wide Area Network users, and arrive in its coverage area
All RRH channel informations.
Assuming that Wide Area Network transmitting antenna number is M, Wide Area Network number of users is M.
The channel of Wide Area Network to Wide Area Network user m are gS,m。
The channel of Wide Area Network to RRHl are GT,l=[gT,l,1,...,gT,l,N]。
Secondly, the function of interference processing module 30 is to eliminate Wide Area Network beyond the clouds to high speed network using channel information
Interference.
The transmitting signal of user k is in high speed networkPT,kFor transmission power.
The transmitting signal of Wide Area Network isWherein νmFor close-to zero beam vector, PS,mFor user m
The transmission power of signal.
νmIt can be obtained by the calculation method of following formula (1)
Wherein, GS=[gS,1,...,gS,M]H, D is diagonal matrix,Hi,iOn representing matrix H diagonal line
I-th of element.
L RRH collaboration K single-antenna subscriber of covering, RRHl received signal is formula (2):
Wherein, zlFor Gaussian noise.
The reception signal for merging L RRH is eliminated and in BBU using the channel information of collected Wide Area Network to RRHl
From the interference of Wide Area Network.As shown in formula (3):
Wherein,
And for high speed network power distribution module 22 and Wide Area Network power distribution module 21.
The function of high speed network power distribution module 22 is to distribute the uplink power of all high speed network users.
The uplink power distribution of high speed network user is formula (4):
PT,k=PT,max (4)
It is all to use per family with maximum power transfer.
Function for high speed network virtual machine distribution module 41 is virtual to all high speed network users distribution beyond the clouds
Machine resource.
In systems, all signal processings beyond the clouds BBU is carried out, and each user needs to distribute corresponding calculating money
Source is used for signal processing.Cloud computing resource is modeled as resources of virtual machine, cloud virtual machine sum is J, single virtual machine meter
Calculation rate is fcp(bps), consumption power is pcp。
The virtual machine quantity of high speed network user k distribution is formula (5):
Wherein, For the symbol that rounds up.
Wherein, τT,kFor the communication delay requirement of high speed network user k unit data (1 bit), σ2For noise power, B is
Transmission bandwidth, ωkFor the zero-forcing detector beam vectors of cloud high speed network, can be obtained by following manner.
H=[h1,h2,...,hK]H, LN × K dimension channel matrix.
Function for Wide Area Network virtual machine distribution module 42 is virtual to all Wide Area Network users distribution beyond the clouds
Machine resource.
In high speed network virtual machine distribution module, we obtain distributing to all high speed network user virtual machine quantity such as
Formula (6):
The virtual machine quantity that residue can distribute to Wide Area Network user is formula (7):
For Wide Area Network user m, the energy for emitting unit data (1 bit) consumption is formula (8):
User m distributes aS,mWhen a virtual machine, the power distribution P of user mS,mIt can be calculated by following formula
Wherein, τS,mFor the communication delay requirement of Wide Area Network user m unit data (1 bit).
Each user at least distributes a virtual machine, in addition to basic virtual machine distribution, when user m distributes jmIt is a
When additional virtual machine, the power P of user m is accordingly distributed toS,m(jm) can be calculated by formula B, it is based on distribution power, benefit
User m accordingly consumed energy can be further calculated with formula A
For example, PS,m(0),It represents user m and only distributes a basic virtual machine, do not distribute additional virtual machine
When power distribution and energy consumption, PS,m(1),It represents user m and distributes 2 virtual machines, namely distribution 1 additional void
Power distribution and energy consumption when quasi- machine.
Similar,All Wide Area Networks are represented with only distributing one per family
General power distribution and total power consumption when a basic virtual machine.
PS,m,gain(jm)=PS,m(0)-PS,m(jm),Represent user m distribution jm
Power distribution reduction amount and energy consumption reduction amount when a additional virtual machine, when relative to 0 additional virtual machine of distribution.
It is similar, entire all users of Wide Area Network have altogether power distribution reduction amount when distributing j additional virtual machine with
It is shown in formula (10) (11) that energy, which distributes reduction amount:
Enable PS,maxFor Wide Area Network maximum transmission power, then the smallest power reduction amount is formula (12):
PS,mingain=PS,max-PS(0) (12)
We are by continuous power discretization, DPFor quantizing factor, Wo Menyou
We use PS(m, j, d),It represents only to m user distribution preceding in M Wide Area Network user in total
Additional virtual machine, additional virtual machine sum are j, when the value after the smallest power reduction amount discretization is d, maximum power capability
Reduction amount and energy reduction amount, just like the recurrence relation of formula (13):
It enablesFor assignable additional virtual machine maximum quantity.
By the above recurrence formula, can be calculatedNamely most to all M users distribution
The virtual machine of big quantity, and when meeting minimum power reduction amount condition, the maximum energy reduction amount of system, so that we are
Shown in the smallest energy consumption of uniting such as formula (14):
The virtual machine method of salary distribution obtained at this time is the energetic optimum method of salary distribution.
And the function of Wide Area Network power distribution module 21 is to distribute Wide Area Network to the downlink of all Wide Area Network users
Transimission power.
Based on Wide Area Network virtual machine distribution module, we have obtained the virtual machine quantity of each Wide Area Network user distribution
aS,m。
User m distributes aS,mWhen a virtual machine, the power distribution P of user mS,mIt can be calculated by formula (15):
Embodiment three:
The wireless communication system schematic diagram based on cloud processing of the embodiment of the present invention is as shown in Figure 3.Wherein wide area nerve of a covering
Network considers the scene of a satellite and 4 RRH using satellite as example.Satellite transmitting antenna number 4, it is same using beam forming technique
When service 4 users.RRH transmitting antenna number 4,8 users of cooperation with service.Carrier frequency is 2GHz, bandwidth 10MHz, satellite
Total emission power takes 50dBm, and each RRH total emission power takes 23dBm.Optimum virtual machine and power point are calculated using above scheme
It is compared with strategy, and with mean allocation scheme, acquired results such as Fig. 4.As can be seen that relative to mean allocation scheme, this
The optimal distributing scheme that invention proposes can reduce 25% energy consumption.
The present invention is by optimum allocation cloud virtual machine resource and power resource, in the condition for meeting user's communication delay
Under, the energy consumption of system is minimized, while there is lower complexity.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description
It with the specific work process of device, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In addition, in the description of the embodiment of the present invention unless specifically defined or limited otherwise, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.
In addition, term " first ", " second ", " third " are used for description purposes only, it is not understood to indicate or imply phase
To importance.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. the wireless communication system energetic optimum resource allocation system based on cloud processing, which is characterized in that collect mould including information
Block, network power distribution module and cloud Base-Band Processing center, wherein cloud Base-Band Processing center includes interference processing mould
Block and virtual machine distribution module；
The information collection module is connected with cloud Base-Band Processing center, for collecting channel information, and by the letter
Road information is sent to cloud Base-Band Processing center, wherein the channel information includes high speed network channel information and wide area
Network channel information；
The interference processing module, is connected with the information collection module, for using the high speed network channel information and
The Wide Area Network channel information eliminates the signal interference of system beyond the clouds；
The virtual machine distribution module, is connected with the information collection module, for according to the high speed network channel information
With the Wide Area Network channel information, resources of virtual machine is distributed for the network user beyond the clouds；
The network power distribution module is connected with the virtual machine distribution module, for distributing the transmission function of all users
Rate；
The virtual machine distribution module includes high speed network virtual machine distribution module and Wide Area Network virtual machine distribution module；
The high speed network virtual machine distribution module, for distributing resources of virtual machine beyond the clouds for high speed network user；
The Wide Area Network virtual machine distribution module, for distributing resources of virtual machine beyond the clouds for Wide Area Network user；
The Wide Area Network virtual machine distribution module carries out virtual machine energetic optimum resource allocation according to the following formula:
Wherein,To distribute the virtual machine of maximum quantity to all M Wide Area Network users, and meet most
When small-power reduction amount condition, the maximum energy reduction amount of system,It represents only described wide to M in total
The domain network user distributes additional virtual machine, and additional virtual machine sum isValue after the smallest power reduction amount discretization is most
Big value is dmaxWhen, maximum energy reduction amount,It is basic virtual with only distributing one per family to represent all Wide Area Networks
Total power consumption when machine；
It enablesFor assignable additional virtual machine maximum quantity, JSThe void of Wide Area Network user can be distributed to for residue
Quasi- machine quantity, is obtained by the recurrence relation of such as following formula
Wherein,It represents and only distributes additional virtual machine to preceding m user in M Wide Area Network user in total, additionally
Virtual machine sum is j, and when the value after the smallest power reduction amount discretization is d, maximum power capability reduction amount and energy subtract
In a small amount；When representing user m j additional virtual machine of distribution, energy when relative to 0 additional virtual machine of distribution disappears
Depletion is a small amount of.
2. the wireless communication system energetic optimum resource allocation system according to claim 1 based on cloud processing, feature
It is, the information collection module includes high speed network channel information collection module and Wide Area Network channel information collection module；
The high speed network channel information collection module, for collecting the high speed network channel information of high speed network user；
The Wide Area Network channel information collection module, for collecting the Wide Area Network channel information of Wide Area Network user.
3. the wireless communication system energetic optimum resource allocation system according to claim 2 based on cloud processing, feature
It is, the network power distribution module includes high speed network power distribution module and Wide Area Network power distribution module；
The Wide Area Network power distribution module, for distributing Wide Area Network user's first network transimission power；
The high speed network power distribution module, for distributing the second network transmitting power of high speed network user.
4. the wireless communication system energetic optimum resource allocation system according to claim 1 based on cloud processing, feature
It is, the high speed network includes multiple Remote Radio Unit.
5. the wireless communication system energetic optimum resource allocation system according to claim 4 based on cloud processing, feature
It is, the high speed network channel information includes up channel of the high speed network user to each Remote Radio Unit
Information, the Wide Area Network channel information include descending channel information of the Wide Area Network to the Wide Area Network user, Yi Jisuo
State Wide Area Network to each Remote Radio Unit channel information.
6. the wireless communication system energetic optimum resource allocation system according to claim 3 based on cloud processing, feature
It is, the first network transimission power is the uplink power of all high speed network users, and second network passes
Defeated power is the downlink transmission power of all Wide Area Network users.
7. the wireless communication system energetic optimum resource allocation system according to claim 4 based on cloud processing, feature
It is, the high speed network is for covering densely populated region, and the high speed network and the Wide Area Network share frequency spectrum
Transmit signal.
8. the wireless communication system energetic optimum resource allocation system according to claim 4 based on cloud processing, feature
It is, the high speed network and the Wide Area Network are connected with cloud Base-Band Processing center.
9. a kind of wireless communication system energetic optimum resource allocation system based on cloud processing, which is characterized in that including such as right
It is required that 1 to claim 8 it is described in any item based on cloud processing wireless communication system energetic optimum resource allocation systems, also wrap
It includes:
The uplink power of high speed network user is with maximum power transfer.
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