CN106921998A - A kind of energy mix is powered the access control system and method for mobile communications network - Google Patents
A kind of energy mix is powered the access control system and method for mobile communications network Download PDFInfo
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- CN106921998A CN106921998A CN201710116766.XA CN201710116766A CN106921998A CN 106921998 A CN106921998 A CN 106921998A CN 201710116766 A CN201710116766 A CN 201710116766A CN 106921998 A CN106921998 A CN 106921998A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/10—Current supply arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/02—Access restriction performed under specific conditions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/02—Access restriction performed under specific conditions
- H04W48/06—Access restriction performed under specific conditions based on traffic conditions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/16—Discovering, processing access restriction or access information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/20—Selecting an access point
-
- 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
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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- Computer Networks & Wireless Communication (AREA)
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- Computer Security & Cryptography (AREA)
- Power Engineering (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
A kind of energy mix is powered the access control system and method for mobile communications network, including multiple energy mix powered communication base stations and the Access Control management system that communicates;Energy mix powered communication base station includes solar energy acquisition module, energy storage device, EMS, base station;Access Control management system is connected with multiple base station communications, and Access Control management system includes information analysis module, message processing module, accesses performing module.When terminal sends the request of access base station, the access decision parameter of base station access by terminal is obtained;Fuzzy logic processes are carried out to accessing decision parameter;The access decision value that terminal accesses all base stations is obtained, to the base station sending signal where maximum access decision value access the operation of execution.The present invention, to accessing decision parameter comprehensive analysis, on the basis of terminal communication service quality is ensured, realizes the purpose of the solar energy utilization ratio equilibrium, load balancing and network energy-saving emission reduction between each base station based on fuzzy logic.
Description
Technical field
The present invention relates to new energy field and mobile communication technology field, more particularly to green communications technology, and mixing
The energy is powered the connection control method and system of mobile communications network.
Background technology
Will in order to meet the rapid growth and network system capacity of mobile data services amount, bandwidth and QoS of customer
The continuous improvement asked, the covering range and overburden depth of mobile communications network are constantly upgraded, base station deployment density more and more higher, this
The energy ezpenditure and carbon emission amount of mobile communications network will be caused to be increased in explosion type.Therefore, effective conservation measures is taken to drop
Low network energy consumption, carbon emission amount become one of important goal of current and future mobile communications network.
The characteristics of solar energy has non-carbon-emitting in widely distributed, power supply process, is introduced into mobile communications network, with green
" increasing income " mode that colour circle is protected reduces " absolute magnitude " of network energy consumption and carbon emission, becomes the certainty of mobile communications network development
Trend.In the hot spot region of city, the mobile communications network that solar energy is introduced into civil power energy supply as green energy resource constitutes " mixed
Close the energy to power mobile communications network (Hybrid Energy powered cellular Networks, HybE-Net) ".
HybE-Net refer to energy supply end i.e. comprising solar energy again the mobile communications network comprising civil power, be mainly used in city focus
Region and the area of base station dense deployment.In HybE-Net, solar energy is used as the communication base station that main energy supply end is in network
It is powered, when solar energy is influenceed by natural environment and climate condition and causes energy supply not enough, civil power is used as standby energy supply end pair
Communication base station continues to power.As can be seen here, HybE-Net not only can be with the service quality of Logistics networks, can also be largely
Reduce city's electric consumption and carbon emission amount of network.
However, in HybE-Net, solar energy collection is influenceed by natural environment and weather conditions, with random
Property.Meanwhile, the energy ezpenditure of communication base station changes with the change of the factor such as quantity, service duration, distribution of mobile terminal,
With uncertainty.This will cause occur the phenomenon of solar energy utilization ratio great disparity, i.e. a part in HybE-Net between each base station
There is surplus in the solar energy of base station, and another part base station then needs that by civil power operation could be maintained.The phenomenon causes to introduce
Solar energy cannot be maximized utilization, the city's electric energy consumption and carbon emission amount in HybE-Net cannot be effectively reduced.
Access Control is the important component in RRM, be also influence network resource utilization it is important because
Element.Access Control, according to parameters such as load state, resource service condition, the communication link qualities of network, is mobile terminal selection
Optimal network, on the premise of terminal communication service quality is ensured, is optimal the resource utilization of network.Therefore,
The cut-in method of the mobile terminal in HybE-Net is needed on the basis of terminal communication service quality is ensured, is made as much as possible each
Solar energy utilization ratio between base station reaches balanced, so as to realize reducing the purpose of network city's electric energy consumption and carbon emission amount.
Existing access selection method is primarily upon the networks such as communication link quality, the available bandwidth of system, load, time delay
The influence that parameter is accessed to terminal, lacks the analysis to the solar energy state of communication base station, is not yet weighed from the angle of energy-saving and emission-reduction
Relation between each key elements such as weighing apparatus terminal traffic demand, network parameter and base station solar energy behaviour in service.Such as:Bandwidth
borrowing‐based QoS approach for adaptive call admission control in
multiclass traffic wireless cellular networks[J].International Journal of
Communication Systems,2013,26(7):811-831.Wang Q,Yu F R,Sun Y.Optimal joint
base station and user equipment(BS-UE)admission control for energy-efficient
green wireless cellular networks[C]//Global Communications Conference
(GLOBECOM),2012 IEEEIEEE,2012:2119-2124.Kim H M,Melikov A,Fattakhova M,et
al.An Analytical Approach to the Analysis of Guard-Channel-Based Call
Admission Control in Wireless Cellular Networks[J].Journal of Applied
Mathematics,2012(19):1-7.Seth A,Gupta H M.A dynamic QoS provisioning call
admission control in cellular mobile using fuzzy logic[J].International
Journal of Wireless and Mobile Computing,2012,5(4):365-373.
There are different solar energy acquisition abilities, traditional access in view of the communication base station of diverse location in HybE-Net
Control algolithm obviously can not process Access Control and resource optimization problem in HybE-Net.Meanwhile, ACCESS
SELECTION METHOD AND SYSTEM FOR RENEWABLE ENERGY-POWERED BASE STATION propose one
The access selection method of solar energy energy supply base station is planted, although the method can be opened for the connection control method in HybE-Net is provided
Hair, but without specific aim.Because the solar energy in HybE-Net increased network insertion with the alternately power supply of civil power
The complexity of control method.
The content of the invention
Based on the shortcoming of above-mentioned prior art, the present invention provides the access control that a kind of energy mix powers mobile communications network
System processed and control method, solve following technical problem:
1. in HybE-Net, the solar energy acquisition and energy resource consumption ability of diverse location base station are differed, and how to be divided
Analyse and quantify the solar energy state and its variation characteristic of each base station;
2. mobile terminal how is assessed to access different base station to solar energy utilization ratio harmony in HybE-Net and load equal
The influence of weighing apparatus property;
3. communication link quality of terminal, the available bandwidth of system, base station solar energy state, solar energy are being considered
On the basis of the key element such as depleted of energy probability and system congestion rate, how to propose that a kind of effective HybE-Net mobile terminals are accessed
Control method.
In order to solve the above technical problems, the present invention uses following technical scheme:
A kind of energy mix is powered the access control system of mobile communications network, including multiple energy mix powered communication bases
The Access Control management system stood and be connected with multiple energy mix powered communication base station communications;
The energy mix powered communication base station includes solar energy acquisition module 101, and solar energy acquisition module 101 is gathered
The energy storage device 102 that is stored of energy, the EMS 104 electrically connected with energy storage device 102 and city, with energy pipe
The base station 103 of the connection of reason system 104;
The Access Control management system 108 and the communication link of multiple base stations 103 of multiple energy mix powered communication base stations
Connect, the Access Control management system includes:
Base station 103 and the information analysis module 105 for being processed are received, described information analysis module 105 is used to obtain end
Hold the access decision parameter of m access base stations i;
It is described according to the message processing module 106 that decision parameter obtains the access decision value of terminal m access base stations i is accessed
Message processing module 106 is additionally operable to the access decision value of other base stations beyond acquisition terminal m access base stations i, and obtains terminal m's
Judgement value set is accessed, the access decision value in set judges which base station terminal m accesses;
The access performing module 107 performed to access, the access performing module 107 is communicated to connect with base station 103.
The base station 103 is connected Access Control management system 108 by X2 in LTE or LTE-A with H1 interfaces.
A kind of energy mix is powered the access control system method of mobile communications network, including:
When terminal m sends the request of access base station, Control management system 108 judges which base accessed by following steps
Stand:
STP1:The access decision parameter of terminal m access base stations i is obtained, the access decision parameter includes:According to terminal m
The communication satisfaction of the terminal m access base stations i that the retrievable message transmission rates of access base station i are obtained, the system of base station i can use
Bandwidth, the solar energy state of base station i, the solar energy of base station i exhausts probability, the system congestion rate of base station i;
STP2:Access decision parameter to terminal m access base stations i carries out fuzzy logic processes, obtains terminal m access base stations
The access decision value I of i;
STP3:The access decision value that terminal m accesses the base station in addition to the i of base station is obtained using the method for STP1~STP2,
And access judgement value set is formed with the access decision value of terminal m access base stations i, maximum connects in selection access judgement value set
Enter decision value as final access decision value, carry out access to the base station sending signal where the final access decision value and hold
Capable operation.
When final access decision value is obtained in the STP3, the balance degree and base of solar energy utilization ratio are further calculated
The load balance degree stood, obtains final Integrated access decision value:
STP31:According to the balance degree of solar energy utilization ratio, the access decision value II of computing terminal m access base stations i;
STP32:According to the load balance degree of base station, the access decision value III of computing terminal m access base stations i;
STP33:Compare STP2, three in STP31 and STP32 access the size of decision value, select small access judgement
It is worth as the Integrated access decision value of terminal m access base stations i;
STP5:Obtain the Integrated access decision value that terminal m accesses the base station in addition to the i of base station, and with terminal m access base stations
The Integrated access decision value of i forms Integrated access judgement value set, and maximum synthesis connects in selection Integrated access judgement value set
Enter decision value as decision value is accessed, to the base station sending signal where the final access decision value access the behaviour of execution
Make.
In the STP1, obtain communication satisfaction, system available bandwidth, solar energy state, solar energy and exhaust
Probability, the method for system congestion rate is:
(1) communicate satisfaction:
Under the conditions of transmission bandwidth is for the additive white Gaussian noise channel of w, terminal m is linked into data obtained by the i of base station
Transmission rate ri,mIt is expressed as
Wherein,Represent the transmission power of base station i;di,mRepresent the distance between terminal m and base station i;ψ represents that path is damaged
Consumption index;κ is constant, depends on the antenna performance and channel loss of base station;σ0Represent the power spectral density of white Gaussian noise;
Terminal m is in different transmission rates ri,mUnder the conditions ofFor
Wherein,I represents that terminal m has I candidate BS;A is satisfaction regulatory factor;
(2) system available bandwidth:
Wherein, WiRepresent base station i total bandwidth, w represent terminal needed for transmission bandwidth;NiRepresent base station current service
Number of terminals;
(3) solar energy state:
The initial sun energy energy state of base station i is x0When solar energy state be
Wherein,
Wherein,With WithRepresent base station i within [0, the t] time respectively
Solar energy acquisition rate average and variance;WithThe average and variance of the energy expenditure rate of base station i are represented respectively;Represent the maximum capacity of energy-storage battery in the i of base station;I is base station number;
Solar energy state average to base station i is normalized, i.e.,
(4) solar energy exhausts probability:
Solar energy exhausts probabilityIt is expressed as:
Wherein, γi=2 βi/αi。With WithBase station i is represented respectively
The average and variance of the solar energy acquisition rate within [0, the t] time;WithThe energy expenditure rate of base station i is represented respectively
Average and variance;Represent the maximum capacity of energy-storage battery in the i of base station;I is base station number;
(5) system congestion rate:
The business service process of mobile communication base station can be described as M/M//n/n queuing models, and wherein business is according to participation
It is λmPoisson flow reach, service time is quantum condition entropy, and service intensity is μm;Assuming that can under the current loading condition of base station
The business number of support is Km;According to poised state equation, system congestion rateIt is expressed as:
Access decision parameter in the STP2 to terminal m access base stations i carries out fuzzy logic processes, obtains terminal m and connects
The method for entering the access decision value I of base station i is as follows:
(1) decision parameter obfuscation
To be communicated satisfactionAvailable bandwidth rate ξw, solar energy state ξs, solar energy exhaust probabilityBe
System blocking rateAs the linguistic variable of fuzzy logic control, and each linguistic variable is divided into 3 fuzzy sets, such as following table
Show:
Access judgement is carried out to |input paramete by fuzzy logic control, and court verdict is set;
In above-mentioned Access Control, Gaussian function is usedAs each fuzzy set
Membership function, wherein,Input variable is represented respectivelyξw, ξs,And output variable
hA/RK-th fuzzy set, bj,kIt is the degree of membership parameter of input variable;It is the degree of membership parameter of output variable;
(2) fuzzy inference rule is set up
For communication satisfaction, available bandwidth rate, solar energy state, solar energy exhaust probability and system congestion rate
5 fuzzy sets, and according to fuzzy set set court verdict set up fuzzy inference rule;
(3) ambiguity solution
Ambiguity solution is carried out to court verdict using weighted average method, i-th base station is selected as connecing so as to obtain terminal m
Enter the access decision value h of base stationi,m。
It is described optimal access base station is obtained according to STP5 method be:
(1) solar energy utilization ratio equalization index θ is calculatede:
Wherein,Represent that the solar energy of base station i exhausts probability;I represents that terminal m has I candidate BS, and i is base station
Numbering;
(2) based on solar energy utilization ratio equalization index, terminal m selects i-th base station as another access of access base station
Decision value
(3) computational load equalization index θm:
Wherein,Represent the system congestion rate of base station i;I represents that terminal m has I candidate BS, and i is base station number;
(4) the load balancing index based on base station, terminal m selects i-th base station to sentence as another access of access base station
Certainly it is worth
Three smaller values accessed in decision values are selected as the Integrated access decision value of access base station iContinue comparison terminal m and be linked into the Integrated access of different base station i (i=1,2 ..., I) to sentence
Certainly value Li,m(i=1,2 ..., I), the corresponding base station of the maximum Integrated access decision value of selection is optimal access base station.
Beneficial effects of the present invention:
1. the time variation in solar power generation and base station power consumption is considered, using approximate diffusion theory to base station in solar energy
Solar energy state and variation characteristic in power supply process are analyzed;
2. decision parameter, such as message transmission rate, system available bandwidth, the base station sun are accessed to terminal based on fuzzy logic
Energy energy state, solar energy exhaust probability and system congestion rate etc. and are considered, additionally, also defining solar energy
It is equal to each base station solar energy utilization ratio in network that utilization rate equalization index and load balancing Index Assessment terminal access different base station
Weighing apparatus property, and the influence to the load equilibrium of each base station in network;
3. the method for the present invention realizes the solar energy between each base station on the basis of terminal communication service quality is ensured
The purpose of utilization rate equilibrium, load balancing and network energy-saving emission reduction.
Brief description of the drawings
Fig. 1 powers the access control system schematic diagram of mobile communications network for energy mix.
Fig. 2 energy mixs are powered the connection control method flow chart of mobile communications network.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and detailed description.
The present invention powers mobile communications network for energy mix, discloses a kind of user access control method and system.
The method exhausts probability and system to message transmission rate, system available bandwidth, base station solar energy state, solar energy
Blocking rate etc. accesses decision parameter and is considered.Meanwhile, by defining solar energy utilization ratio equalization index and load balancing
Index Assessment terminal accesses different base station to each base station solar energy utilization ratio harmony in network, and to each base station in network
The influence of load equilibrium, on the basis of terminal communication service quality is ensured, realizes the Solar use between each base station
Rate equilibrium and load balancing, have reached the purpose of network energy-saving emission reduction.
As shown in figure 1, access control system of the invention includes multiple energy mix powered communication base stations and is mixed with multiple
Close the Access Control management system of energy powered communication base station communication connection.
Energy mix powered communication base station includes solar energy acquisition module 101, the energy that solar energy acquisition module 101 is gathered
The energy storage device 102 that amount is stored, the EMS 104 electrically connected with energy storage device 102 and city, with energy management system
The base station 103 of the connection of system 104;
Access Control management system 108 is communicated to connect with multiple base stations 103 of multiple energy mix powered communication base stations, is connect
Entering Control management system includes:
Base station 103 and the information analysis module 105 for being processed are received, described information analysis module 105 is used to obtain end
Hold the access decision parameter of m access base stations i;
It is described according to the message processing module 106 that decision parameter obtains the access decision value of terminal m access base stations i is accessed
Message processing module 106 is additionally operable to the access decision value of other base stations beyond acquisition terminal m access base stations i, and obtains terminal m's
Judgement value set is accessed, the access decision value in set judges which base station terminal m accesses;
The access performing module 107 performed to access, accesses performing module 107 and is communicated to connect with base station 103.
Above-mentioned all base stations are by X2 in LTE or LTE-A and H1 interface Access Controls management system 108.
The present invention also provides a kind of access control system method that energy mix powers mobile communications network, and terminal m sends
During the request of access base station, Control management system (108) judges which base station accessed by following steps:
STP1:The access decision parameter of terminal m access base stations i is obtained, the access decision parameter includes:According to terminal m
The communication satisfaction of the terminal m access base stations i that the retrievable message transmission rates of access base station i are obtained, the system of base station i can use
Bandwidth, the solar energy state of base station i, the solar energy of base station i exhausts probability, the system congestion rate of base station i;;
STP2:Access decision parameter to terminal m access base stations i carries out fuzzy logic processes, obtains terminal m access base stations
The access decision value I of i;
STP3:The access decision value that terminal m accesses the base station in addition to the i of base station is obtained using the method for STP1~STP2,
And access judgement value set is formed with the access decision value of terminal m access base stations i, maximum connects in selection access judgement value set
Enter decision value as final access decision value, carry out access to the base station sending signal where the final access decision value and hold
Capable operation.
During above-mentioned judgement, in order to obtain more suitable access base station, invention also contemplates that solar energy utilization ratio is equal
The influence of weighing apparatus degree and system load balancing degree to access decision value.Consider that solar energy utilization ratio and system be responsible for is equal
Weighing apparatus degree, the method for obtaining final Integrated access decision value is:
STP31:According to the balance degree of solar energy utilization ratio, the access decision value II of computing terminal m access base stations i;
STP32:According to the load balance degree of base station, the access decision value III of computing terminal m access base stations i;
STP33:Compare STP2, three in STP31 and STP32 access the size of decision value, select small access judgement
Value is used as Integrated access decision value;
STP5:Obtain the Integrated access decision value that terminal m accesses the base station in addition to the i of base station, and with terminal m access base stations
The Integrated access decision value of i forms Integrated access judgement value set, and maximum synthesis connects in selection Integrated access judgement value set
Enter decision value as decision value is accessed, to the base station sending signal where the final access decision value access the behaviour of execution
Make.
Admission Control in HybE-Net needs considering communication link quality, system available bandwidth, base station
Solar energy state, solar energy exhaust probability and system congestion rate it is isoparametric on the basis of, for terminal provides optimal
Network, is a Multifactor Decision Making process for containing user and each level characteristic of network and demand.
As shown in Fig. 2 one embodiment of the present invention specific implementation process is as follows.
(1) first, the connection control method that the present invention is carried is analyzed to accessing decision parameter, describes in detail
It is as follows:
Access decision parameter one:Communication satisfaction
Under the conditions of transmission bandwidth is for the additive white Gaussian noise channel of w, terminal m is linked into data obtained by the i of base station
Transmission rate ri,mIt is expressed as
Wherein,Represent the transmission power of base station i;di,mRepresent the distance between terminal m and base station i;ψ represents that path is damaged
Consumption index;κ is constant, depends on the antenna performance and channel loss of base station;σ0Represent the power spectral density of white Gaussian noise.
For the actual conditions that accurate description is judged communication link quality, definition communication satisfactionDescription terminal m exists
Different transmission rates rI, mUnder the conditions of communication satisfaction, be embodied as
Wherein,I represents that terminal m has I candidate BS;A is satisfaction regulatory factor, and the present invention takes
Be worth is 100.
Access decision parameter two:System available bandwidth rate
The loading condition of communication base station can directly be reflected by the available bandwidth of system.For the ease of analysis, base station it is available
BandwidthBy available bandwidth rateInstead of, you can the ratio of total bandwidth is accounted for bandwidth, is expressed as
Wherein, WiRepresent base station i total bandwidth, w represent terminal needed for transmission bandwidth;NiRepresent base station current service
Number of terminals.Obviously, available bandwidth rate is bigger, and load of base station is lighter.
Access decision parameter three:Base station solar energy state (normalization)
In order to improve solar energy utilization ratio, reduce network city's electric consumption and carbon emission, accessing judgement makes mobile terminal preferential
Consider that the sufficient base station of solar energy state is accessed.Represent the initial sun energy energy as base station i
Amount state is x0When solar energy state, specifically by following formula calculate:
Wherein,
Wherein,With WithRepresent base station i within [0, the t] time respectively
Solar energy acquisition rate average and variance;WithThe average and variance of the energy expenditure rate of base station i are represented respectively;Represent the maximum capacity of energy-storage battery in the i of base station;I is base station number.For ease of analysis, to the solar energy shape of base station i
State average is normalized, i.e.,
Access decision parameter four:Solar energy exhausts probability
It is to consider that user accesses one of important parameter of different base station that the solar energy of base station exhausts probability.Solar energy energy
Amount exhausts probabilityIt is expressed as:
Wherein, γi=2 βi/αi。With WithBase station i is represented respectively
The average and variance of the solar energy acquisition rate within [0, the t] time;WithThe energy expenditure rate of base station i is represented respectively
Average and variance;Represent the maximum capacity of energy-storage battery in the i of base station;I is base station number.
Access decision parameter five:System congestion rate
Because network is different in the business load degree of busy period, the blocking rate of access is also dynamic change.It is mobile
The business service process of communication base station can be described as M/M//n/n queuing models, wherein business (voice-and-data business) according to
It is λ to participate inmPoisson flow reach, service time is quantum condition entropy, and service intensity is μm.Assuming that base station current loading condition
Under supported business number be Km.According to poised state equation, system congestion rateIt is expressed as:
(2) and then, the terminal that the present invention is obtained based on fuzzy logic to Treatment Analysis in STP2 accesses decision parameter and carries out
Consider, obtain the access decision value h that terminal m selects i-th base station as access base stationi,m.Describe in detail as follows:
Decision parameter obfuscation
The present invention will be to the communication satisfaction in step (1)Available bandwidth rate ξw, the solar energy state of base station
ξs, solar energy exhausts probabilityWith system congestion rateAs the linguistic variable of fuzzy logic control.And by each language
Variable partitions are 3 fuzzy sets, are expressed as below:
Access judgement is carried out to |input paramete by fuzzy logic control, court verdict can be divided into:Access (Access, A),
(Weak Access, WA) can be accessed, (Not Access Not Reject, NANR) is obscured, (Weak can be refused
Reject, WR), refusal (Reject, R).Therefore, output variable hA/RFuzzy set can be expressed as T (hA/R)=T R, WR,
NANR,WA,A}。
In order to accurately reflect the actual conditions of user characteristics and network parameter, Access Algorithm selection proposed by the present invention is high
This functionAs the membership function of each fuzzy set, wherein,Input variable is represented respectivelyξw, ξs,And output variable hA/RK-th fuzzy set
Close.Invention set input variable degree of membership parameter be:bj,1=0, bj,2=0.5, bj,3=1,The degree of membership parameter of output variable is:b6,1=-1, b6,2=-
0.5, b6,3=0, b6,4=0.5, b6,5=1,
(2) fuzzy inference rule
According to practical experience, the angle of collateral security terminal communication service quality of the present invention and reduction network city electric energy consumption is set out
Fuzzy inference rule is established, it is as shown in the table.
Table:Fuzzy inference rule
Ambiguity solution
Using existing traditional weighted average method, ambiguity solution is carried out to court verdict, so as to obtain terminal m selections the
I base station as access base station access decision value hi,m.For example weighted average method can use Nov á k V, Perfilieva
I,Mockor J.Mathematical principles of fuzzy logic.Springer Science&Business
Media, the method in 2012.
(3) next, the present invention considers the load equilibrium of the harmonious and system of network solar energy utilization ratio to accessing
The influence of judgement.Define solar energy utilization ratio equalization index θeTo weigh the balance degree of solar energy state between base station.
Define system load balancing index θmTo weigh the balance degree loaded between base station.Based on this, obtain terminal m and select i-th
Base station as access base station access decision value li,mAnd zi,mDescribe in detail as follows:
1. solar energy utilization ratio equalization index θeCalculated by following formula:
Wherein,Represent that the solar energy of base station i exhausts probability;I represents that terminal m has I candidate BS, and i is base station
Numbering.
Based on solar energy utilization ratio equalization index, terminal m selects i-th base station to be adjudicated as another access of access base station
Value
2. the load balancing index θ of systemmCalculated by following formula:
Wherein,Represent the system congestion rate of base station i;I represents that terminal m has I candidate BS, and i is base station number;
Load balancing index based on base station, terminal m selects i-th base station as another access decision value of access base station
Finally, the present invention defines Integrated access decision value of three smaller values accessed in decision value as access base station i
Li,m=min (hi,m,li,m,zi,m).Continue the Integrated access judgement that comparison terminal m is linked into different base station i (i=1,2 ..., I)
Value Li,m(i=1,2 ..., I), the corresponding base station of the maximum Integrated access decision value of selection is optimal access base station.
Above-described is only the preferred embodiment of the present invention, it is noted that for a person skilled in the art,
Under the premise of general idea of the present invention is not departed from, some changes and improvements can also be made, these should also be considered as of the invention
Protection domain.
Claims (7)
1. a kind of energy mix is powered the access control system of mobile communications network, it is characterised in that:Including multiple energy mixs
Powered communication base station and the Access Control management system being connected with multiple energy mix powered communication base station communications;
The energy mix powered communication base station includes solar energy acquisition module (101), by solar energy acquisition module (101) collection
The energy storage device (102) that is stored of energy, the EMS (104) electrically connected with energy storage device (102) and city, with
The base station (103) of EMS (104) connection;
The Access Control management system (108) and multiple base stations (103) communication link of multiple energy mix powered communication base stations
Connect, the Access Control management system includes:
Base station (103) and the information analysis module (105) for being processed are received, described information analysis module (105) is for obtaining
The access decision parameter of terminal m access base stations i;
According to the message processing module (106) of the access decision value for accessing decision parameter acquisition terminal m access base stations i, the letter
Breath processing module (106) is additionally operable to the access decision value of other base stations beyond acquisition terminal m access base stations i, and obtains terminal m's
Judgement value set is accessed, the access decision value in set judges which base station terminal m accesses;
The access performing module (107) performed to access, access performing module (107) and base station (103) communication link
Connect.
2. a kind of energy mix according to claim 1 is powered the access control system of mobile communications network, and its feature exists
In:The base station (103) is connected Access Control management system (108) with H1 interfaces by X2 in LTE or LTE-A.
3. a kind of energy mix is powered the access control system method of mobile communications network, it is characterised in that including:
When terminal m sends the request of access base station, Control management system (108) judges which base station accessed by following steps:
STP1:The access decision parameter of terminal m access base stations i is obtained, the access decision parameter includes:Accessed according to terminal m
The communication satisfaction of the terminal m access base stations i that i retrievable message transmission rates in base station are obtained, the system of base station i can use band
Width, the solar energy state of base station i, the solar energy of base station i exhausts probability, the system congestion rate of base station i;
STP2:Access decision parameter to terminal m access base stations i carries out fuzzy logic processes, obtains terminal m access base stations i's
Access decision value I;
STP3:Using the access decision value of base station of the method acquisition terminal m accesses of STP1~STP2 in addition to the i of base station, and with
The access decision value of terminal m access base stations i is formed and accesses judgement value set, and maximum access is sentenced in selection access judgement value set
Certainly it is worth as final access decision value, carries out accessing execution to the base station sending signal where the final access decision value
Operation.
4. method according to claim 3, it is characterised in that:
When final access decision value is obtained in the STP3, balance degree and the base station of solar energy utilization ratio are further calculated
Load balance degree, obtains final Integrated access decision value:
STP31:According to the balance degree of solar energy utilization ratio, the access decision value II of computing terminal m access base stations i;
STP32:According to the load balance degree of base station, the access decision value III of computing terminal m access base stations i;
STP33:Compare STP2, three in STP31 and STP32 access the size of decision value, select small access decision value to make
It is the Integrated access decision value of terminal m access base stations i;
STP5:The Integrated access decision value that terminal m accesses the base station in addition to the i of base station is obtained, and with terminal m access base stations i's
Integrated access decision value forms Integrated access judgement value set, and maximum Integrated access is sentenced in selection Integrated access judgement value set
Certainly value to the base station sending signal where the final access decision value access the operation of execution as decision value is accessed.
5. method according to claim 3, it is characterised in that:In the STP1, obtaining communication satisfaction, system can use band
Width, solar energy state, solar energy exhaust probability, and the method for system congestion rate is:
(1) communicate satisfaction:
Under the conditions of transmission bandwidth is for the additive white Gaussian noise channel of w, terminal m is linked into data transfer obtained by the i of base station
Speed ri,mIt is expressed as
Wherein,Represent the transmission power of base station i;di,mRepresent the distance between terminal m and base station i;ψ represents that path loss refers to
Number;κ is constant, depends on the antenna performance and channel loss of base station;σ0Represent the power spectral density of white Gaussian noise;
Terminal m is in different transmission rates ri,mUnder the conditions ofFor
Wherein,I represents that terminal m has I candidate BS;A is satisfaction regulatory factor;
(2) system available bandwidth:
Wherein, WiRepresent base station i total bandwidth, w represent terminal needed for transmission bandwidth;NiRepresent the terminal of base station current service
Number;
(3) solar energy state:
The initial sun energy energy state of base station i is x0When solar energy state be
Wherein,
Wherein,With WithRepresent base station i within [0, the t] time too respectively
The average and variance of positive energy energy acquisition rate;WithThe average and variance of the energy expenditure rate of base station i are represented respectively;Table
Show the maximum capacity of energy-storage battery in the i of base station;I is base station number;
Solar energy state average to base station i is normalized, i.e.,
(4) solar energy exhausts probability:
Solar energy exhausts probabilityIt is expressed as:
Wherein, γi=2 βi/αi。With WithRepresent that base station i exists respectively
The average and variance of the solar energy acquisition rate in [0, the t] time;WithThe energy expenditure rate of base station i is represented respectively
Average and variance;Represent the maximum capacity of energy-storage battery in the i of base station;I is base station number;
(5) system congestion rate:
The business service process of mobile communication base station can be described as M/M//n/n queuing models, and wherein business is λ according to participationm
Poisson flow reach, service time is quantum condition entropy, and service intensity is μm;Assuming that can be supported under the current loading condition of base station
Business number be Km;According to poised state equation, system congestion rateIt is expressed as:
6. method according to claim 3, it is characterised in that:Access in the STP2 to terminal m access base stations i is adjudicated
Parameter carries out fuzzy logic processes, and the method for obtaining the access decision value I of terminal m access base stations i is as follows:
(1) decision parameter obfuscation
To be communicated satisfactionAvailable bandwidth rate ξw, solar energy state ξs, solar energy exhaust probabilityHindered with system
Plug rateAs the linguistic variable of fuzzy logic control, and each linguistic variable is divided into 3 fuzzy sets, be expressed as below:
Access judgement is carried out to |input paramete by fuzzy logic control, and court verdict is set;
In above-mentioned Access Control, Gaussian function is usedAs being subordinate to for each fuzzy set
Degree function, wherein,(j=1,2,3,4,5,6) input variable is represented respectivelyξw, ξs,And output variable hA/R
K-th fuzzy set, bj,kIt is the degree of membership parameter of input variable;It is the degree of membership parameter of output variable;
(2) fuzzy inference rule is set up
For communication satisfaction, available bandwidth rate, solar energy state, solar energy exhaust the 5 of probability and system congestion rate
Individual fuzzy set, and fuzzy inference rule is set up according to the court verdict that fuzzy set sets;
(3) ambiguity solution
Ambiguity solution is carried out to court verdict using weighted average method, i-th base station is selected as access base so as to obtain terminal m
The access decision value h for standingi,m。
7. method according to claim 4, it is characterised in that:The method that optimal access base station is obtained according to STP5
For:
(1) solar energy utilization ratio equalization index θ is calculatede:
Wherein,Represent that the solar energy of base station i exhausts probability;I represents that terminal m has I candidate BS, and i is base station number;
(2) based on solar energy utilization ratio equalization index, terminal m selects i-th base station to be adjudicated as another access of access base station
Value
(3) computational load equalization index θm:
Wherein,Represent the system congestion rate of base station i;I represents that terminal m has I candidate BS, and i is base station number;
(4) the load balancing index based on base station, terminal m selects i-th base station as another access decision value of access base station
Three smaller values accessed in decision values are selected as the Integrated access decision value of access base station iContinue comparison terminal m and be linked into the Integrated access of different base station i (i=1,2 ..., I) to sentence
Certainly value Li,m(i=1,2 ..., I), the corresponding base station of the maximum Integrated access decision value of selection is optimal access base station.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108882308A (en) * | 2018-05-21 | 2018-11-23 | 西安电子科技大学 | Utility function heterogeneous network Access Algorithm based on green energy resource perception |
CN111107491A (en) * | 2019-12-18 | 2020-05-05 | 杭州后博科技有限公司 | Lamp post base station selection method and system based on busy degree |
CN112235846A (en) * | 2020-09-04 | 2021-01-15 | 河南科技大学 | Method for realizing energy perception routing of wireless body area network based on fuzzy control |
CN114867087A (en) * | 2022-04-24 | 2022-08-05 | 江苏巨天新能源有限公司 | Intelligent solar equipment supports uses governing system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101873638A (en) * | 2010-07-15 | 2010-10-27 | 吉林大学 | Heterogeneous wireless network access selection method based on fuzzy neural network |
CN102280937A (en) * | 2011-07-29 | 2011-12-14 | 深圳市科陆电子科技股份有限公司 | Distributed energy monitoring system and method |
CN103763761A (en) * | 2014-02-11 | 2014-04-30 | 中国科学院声学研究所 | Processing method of energy supply of solar energy base station |
-
2017
- 2017-02-28 CN CN201710116766.XA patent/CN106921998A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101873638A (en) * | 2010-07-15 | 2010-10-27 | 吉林大学 | Heterogeneous wireless network access selection method based on fuzzy neural network |
CN102280937A (en) * | 2011-07-29 | 2011-12-14 | 深圳市科陆电子科技股份有限公司 | Distributed energy monitoring system and method |
CN103763761A (en) * | 2014-02-11 | 2014-04-30 | 中国科学院声学研究所 | Processing method of energy supply of solar energy base station |
Non-Patent Citations (1)
Title |
---|
王恒: "《混能供电移动通信网络的节能方法研究》", 《中国博士学位论文全文数据库》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108882308A (en) * | 2018-05-21 | 2018-11-23 | 西安电子科技大学 | Utility function heterogeneous network Access Algorithm based on green energy resource perception |
CN111107491A (en) * | 2019-12-18 | 2020-05-05 | 杭州后博科技有限公司 | Lamp post base station selection method and system based on busy degree |
CN112235846A (en) * | 2020-09-04 | 2021-01-15 | 河南科技大学 | Method for realizing energy perception routing of wireless body area network based on fuzzy control |
CN114867087A (en) * | 2022-04-24 | 2022-08-05 | 江苏巨天新能源有限公司 | Intelligent solar equipment supports uses governing system |
CN114867087B (en) * | 2022-04-24 | 2023-03-10 | 江苏巨天新能源有限公司 | Intelligent adjusting method for supporting solar equipment |
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