CN105722143B - A kind of mobile terminal energy consumption optimization method based on probability switching - Google Patents
A kind of mobile terminal energy consumption optimization method based on probability switching Download PDFInfo
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- CN105722143B CN105722143B CN201610196314.2A CN201610196314A CN105722143B CN 105722143 B CN105722143 B CN 105722143B CN 201610196314 A CN201610196314 A CN 201610196314A CN 105722143 B CN105722143 B CN 105722143B
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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
- H04W28/0247—Traffic management, e.g. flow control or congestion control based on conditions of the access network or the infrastructure network
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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
- H04W28/0289—Congestion control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/18—Selecting a network or a communication service
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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
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0225—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal
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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
- H04W52/28—TPC being performed according to specific parameters using user profile, e.g. mobile speed, priority or network state, e.g. standby, idle or non transmission
- H04W52/286—TPC being performed according to specific parameters using user profile, e.g. mobile speed, priority or network state, e.g. standby, idle or non transmission during data packet transmission, e.g. high speed packet access [HSPA]
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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
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a kind of mobile terminal energy consumption optimization methods based on probability switching: during mobile terminal user is mobile in heterogeneous network, transmitting data using WiFi network when it is in WiFi network overlay area；When it is moved to the region of no WiFi network covering, user uses cellular network transmission data with certain probability selection, which makes user terminal energy consumption minimum；Wherein, user's select probability and each user need to transmit total amount of data, the time of tolerable delay, the line segment length between the mobile Origin And Destination of user, WiFi network density, WiFi network covering radius, user density are related；The switching based on probability can be such that transformation task completes within the tolerable time, and achieve the purpose that terminal energy consumption is minimized；Compared with the data transmission scheme of existing seamless switching, energy consumption optimization method of the invention can largely reduce data transmissions consumption.
Description
Technical field
The invention belongs to mobile communication fields, excellent more particularly, to a kind of mobile terminal energy consumption based on probability switching
Change method.
Background technique
As the universal and 4G network bring network speed of the great development of mobile Internet, mobile device is promoted so that mobile
Network data is presented blowout and increases, and mobile network data transmits consumed mobile device energy and also reached immeasurable
Magnitude.
In the heterogeneous network that WiFi (Wireless Fidelity) network and cellular network form, WiFi network and bee
Nest network, which compares, has more high bandwidth, lower power, but its limited coverage area, and the random movement of user causes user to need
It to be switched between heterogeneous networks, this will increase and switches energy consumption；Under the same cellular base station, multi-user's competition has multi-user
Limit bandwidth also causes network transmission efficiency low, and the energy consumption of mobile terminal can sharp increase.
Since the deployment of WiFi has ambiguity, the specific deployed position of all WiFi in a wide range of can not be accurately known,
The prior art predicts the time that WiFi occurs by user behavior, determines the regional choice in not WiFi by prediction result
Cellular network waits WiFi network appearance next time, and the program does not have universality；Some schemes are examined using Markov Chain
The network for selecting network state best, reaches energy-efficient purpose, but does not account for the state of multi-user, and each user is in honeycomb
Bandwidth under network is related with other users, and existing switching can be because user bandwidth competition causes network quality poor and consumes
More transmission energy consumptions.
Situation of mobile network can be because of network congestion or the big fluctuation of the mobile appearance of mobile device, when selecting different
Machine, which carries out network transmission, has large effect to the transmission energy consumption of user, is currently used for reducing the side that energy consumption is transmitted in heterogeneous network
The considerations of case shortcoming is to cellular network situation in current environment and the random movement of user.
Summary of the invention
Aiming at the above defects or improvement requirements of the prior art, the present invention provides a kind of mobile ends based on probability switching
Energy consumption optimization method is held, its object is to select optimal transmission opportunity and transmission network according to Network status, thus reduces and moves
The network data transmission energy consumption of dynamic terminal.
To achieve the above object, according to one aspect of the present invention, a kind of mobile terminal based on probability switching is provided
Energy consumption optimization method specifically comprises the following steps:
(a) judge whether user region has WiFi network signal, if it is not, then entering step (b)；If so, using
WiFi network in the region carries out user data transmission；
(b) judge the select probability x of the user of current time slotiWhether threshold value x is greater than；If so, using the region
Interior cellular network carries out user data transmission；If it is not, then waiting until that user enters WiFi network overlay area, into step
Suddenly (a)；
Wherein, xiRefer to that user's selection uses the probability of cellular network transmission data, threshold value x uses random function rand ()
The probability generated at random, x ∈ (0,1)；User is divided into the equal-sized period mobile time, by one of them time
Section is known as time slot；
Compared with cellular network, WiFi network has the characteristics that high bandwidth, low-power consumption；This method provides above-mentioned based on general
The mobile terminal energy optimization scheme of rate switching transmits user data using WiFi in WiFi network overlay area；Do not having
The region of WiFi network is then using cellular network transmission data, or waiting according to the state decision of current cellular networks
WiFi network；
Wherein, the select probability x of useriWith the transformation task total amount D of user ii, tolerable delay time Ti, user it is mobile
Line length L between Origin And DestinationiRelated, in each time slot, a part of user does not use Cellular Networks according to probability selection
Network can effectively avoid network congestion, but can still guarantee that user completes transformation task, terminal transmission energy within the tolerable time
Consume the smallest purpose；As transformation task total amount DiWith tolerable delay time TiOne timing, line length LiIt is bigger, the choosing of user
Select probability xiIt is smaller；Most of data are transmitted by WiFi, reduce the data volume using cellular network transmission；When tolerable is prolonged
Slow time TiWith line segment length LiOne timing, transformation task total amount DiIt is bigger, the select probability x of useriIt is bigger, since WiFi can
The data volume of transmission is certain, then the data volume of cellular network transmission increases；The scheme selected by above-mentioned network reaches movement
The energy consumption minimized purpose of the transmission of terminal.
Preferably, mobile terminal energy consumption optimization method provided by the invention, the select probability x of useriAccording to lower section
Method obtains:
(1) the Poisson distribution situation according to WiFi AP (Acess Point) on two-dimensional space obtains WiFi network and covers
The average user quantity of cover area
Wherein, λuFor the user density in given area；λwFor the WiFi AP density in given area；R is WiFi network
Covering radius；
(2) according to the average user quantity nw, the total bandwidth of WiFi network and the total bandwidth of cellular network, establish different
User bandwidth distribution model under network forming network, the model include the bandwidth that user i is distributed under WiFi networkAnd cellular network
The bandwidth that lower user i is distributed
(3) according to the mobile starting point of terminal user, the random distribution situation of terminal and network, terminal user i is obtained at the uniform velocity
Time across WiFi network overlay area it is expected
Wherein, viIt is the movement speed of terminal user i；Li is the route between the mobile Origin And Destination of terminal user i
Length；
(4) user's number can be connected according to WiFi network maximumAnd user density λu, obtain and covered in WiFi network
Under user successfully link up the probability ρ of WiFi network；
For in WiFi network overlay area but unable to connect successfully the user of upper WiFi network, it is also desirable to consider whether
Cellular network interface is opened, cellular network transmission data are passed through；
(5) it is expected according to the above-mentioned probability ρ and user i by the time of WiFi network overlay areaIt obtains
User transmits the time of data using WiFi network
The bandwidth that lower user i is distributed is covered according to WiFi networkObtain the transmission speed that user i gets at WiFi
Rate
The time of WiFi network transmission data is used according to the userAnd the biography that user i gets at WiFi
Defeated rateObtain the average amount transmitted by WiFi network
(6) bandwidth distributed according to the user i under cellular networkThe select probability x of useriAnd user uses
The time of WiFi network transmission dataObtain the average amount by cellular network transmissionWherein, TiRefer to user's i tolerable transmission time；
(7) time of WiFi network transmission data is used according to userPass through the average data of cellular network transmission
AmountAnd the average amount transmitted by WiFi networkFoundation includes end when transmitting data by WiFi network
Hold energy consumptionTerminal energy consumption when with by cellular network transmission dataEnergy consumption model；
(8) according to above-mentioned energy consumption model, optimal solution is sought to following formula, obtains the optimal select probability x of each useri；
Each user is according to the optimal select probability xiSelection access cellular network, so that mobile terminal carries out network number
It is minimum according to the energy consumption of transmission.
Preferably, mobile terminal energy consumption optimization method provided by the invention, user bandwidth distribution model under heterogeneous network
It is specific as follows:
WiFi network covers the bandwidth that lower user i is distributed
The bandwidth that user i is distributed in cellular network
Wherein, i, k are Customs Assigned Number, xiFor the probability of user's i connection cellular network, xkFor user's k connection cellular network
Probability, ncFor user volume number, B under cellular networkwFor the total bandwidth of WiFi network, BcFor the total bandwidth of cellular network.
Preferably, mobile terminal energy consumption optimization method provided by the invention, the user under WiFi network covering successfully connect
The probability ρ for connecting WiFi network is specific as follows:
WhenWhen, ρ=1；
WhenWhen,
Wherein,For user density threshold values,
Preferably, mobile terminal energy consumption optimization method provided by the invention, the average amount transmitted by WiFi network
Preferably, mobile terminal energy consumption optimization method provided by the invention, passes through the average amount of cellular network transmission
Preferably, mobile terminal energy consumption optimization method provided by the invention, the energy consumption model established are specific as follows:
Function are as follows:
Constraint condition are as follows:
Wherein,Refer to terminal energy consumption when transmitting data by WiFi network,Refer to through cellular network transmission number
According to when terminal energy consumption；PwFor the transimission power of WiFi network, PcFor the transimission power of cellular network, DiRefer to that user i needs to pass
Defeated total amount of data.
In general, through the invention it is contemplated above technical scheme is compared with the prior art, can obtain down and show
Beneficial effect:
(1) scheme is established in random heterogeneous network, and whole network framework has universality, and considers that user's is random
Mobility is more matched with actual conditions；Optimal transmission opportunity is selected according to Network status, and in the tolerable range of task
Data inside are transmitted using WiFi network as far as possible, transmit energy consumption using the high bandwidth of WiFi network, low-power advantage saving；The net
Network data transmissions consumption optimization method can reach the maximization optimization of WiFi network data transmissions consumption；The method of the present invention has
The advantages of model is clear, easily disposes, Yi Shihang；
(2) cellular network is selectively used according to current cellular networks situation in no overlay area WiFi, improves network and passes
Defeated efficiency reduces the transmission energy consumption under cellular network；This method can effectively solve network congestion, improve user network clothes
Business quality, and transmission is completed within user's tolerable delay time, there is preferable user's completion rate；Test data has shown
95% or more is up at rate.
Detailed description of the invention
Fig. 1 is the flow chart of the mobile terminal energy consumption optimization method based on probability switching in the embodiment of the present invention；
Fig. 2 is the network consisting architecture diagram of heterogeneous network in the embodiment of the present invention；
Fig. 3 is in the embodiment of the present invention according to the energy consumption comparison figure of probability switching and existing method.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.As long as in addition, technical characteristic involved in the various embodiments of the present invention described below
Not constituting a conflict with each other can be combined with each other.
It is the stream of the mobile terminal energy consumption optimization method based on probability switching provided in the embodiment of the present invention as shown in Figure 1
Cheng Tu specifically includes following step:
(a) determine whether user region has WiFi network, if it is not, then entering step (b)；If so, described in
WiFi network in region carries out user data transmission；
(b) judge the select probability x of the user of current time slotiWhether threshold value x is greater than；If so, using the region
Interior cellular network carries out user data transmission；If it is not, then waiting until that user enters WiFi network overlay area, into step
Suddenly (a), (0,1) threshold value x ∈.
In embodiment, the select probability xi of user is obtained according to following methods:
(1) Poisson distribution on two-dimensional space is obeyed according to the distribution of WiFi AP, when cellular network all cover such as figure
Shown in 2, wherein BS refers to that the cellular base station of a global covering, the great circle in figure indicate WiFi network overlay area；Great circle it
Between overlapping region refer to the overlapping regions of two WiFi networks；Dot indicates that mobile subscriber, S indicate terminal user's movement
Starting point, D indicate the mobile final position of terminal user；
The average user quantity of WiFi network overlay area is obtained according to Poisson branch theorem
Wherein, λuFor the user density in given area；λwFor the WiFi AP density in given area；R is WiFi network
Covering radius；
(2) user bandwidth distribution model under heterogeneous network is established, specific as follows:
WiFi covers the bandwidth that lower user i is distributed
The bandwidth that the lower user i of cellular network is distributed
Wherein, i, k are Customs Assigned Number, xi, xkThe probability of respectively user i and user k access cellular network, ncFor bee
Number of users under nest network, BwFor the total bandwidth of WiFi, BcFor the total bandwidth of cellular network；
(3) according to the mobile starting point of terminal user, the random distribution situation of terminal and network, terminal user i is obtained at the uniform velocity
Time across WiFi network overlay area it is expected
Wherein, viIt is the movement speed of terminal user i；LiIt is that route between the mobile Origin And Destination of terminal user i is long
Degree；
(4) user's number can be connected according to WiFi network maximumAnd user density λu, obtain and covered in WiFi network
User under lid successfully links up the probability ρ of WiFi network,
WhenWhen, ρ=1；
WhenWhen,
Wherein,User density threshold values,
WhenWhen, the user's number for successfully linking up WiFi network isWhenWhen, the user's number for successfully linking up WiFi network is
For in WiFi network overlay area but unable to connect successfully the user of upper WiFi network, it is also desirable to consider whether
Cellular network interface is opened, cellular network transmission data are passed through；
(5) the probability ρ and above-mentioned user of WiFi network are successfully linked up in WiFi network overlay area according to user
I it is expected by the time of WiFi network overlay areaIt obtains user and uses the time of WiFi network transmission data
The bandwidth that lower user i is distributed is covered according to WiFi network, obtaining the transmission rate that user i gets at WiFi is
The time of WiFi network transmission data is used according to above-mentioned userAnd the transmission that user i gets at WiFi
RateObtain the average amount transmitted by WiFi network
(6) bandwidth distributed according to the lower user i of cellular networkObtain the average data by cellular network transmission
AmountIt is specific as follows:
Wherein, TiRefer to user's i tolerable transmission time；
Wherein,
(7) time of WiFi network transmission data is used according to userEstablish energy consumption model, including function and constraint
Condition；
Wherein, function are as follows:
Constraint condition are as follows:
Wherein,Refer to terminal energy consumption when transmitting data by WiFi network,Refer to through cellular network transmission number
According to when terminal energy consumption；PwFor the transimission power of WiFi network, PcFor the transimission power of cellular network, DiRefer to that user i needs to pass
Defeated total amount of data；
(8) optimal solution is sought to following formula according to the energy consumption model, obtains the optimal select probability x of each useri；
In embodiment, the Optimal solution problem is solved using existing CPLEX mathematical tool, obtains the optimal selection of each user
Probability xi, so that the energy consumption that each mobile terminal carries out network data transmission is minimum.
It is one group of experimental result picture shown in Fig. 3, is to carry out the energy before and after energy optimization according to method provided by embodiment
Consume comparison diagram；In the example, 80 mobile subscribers are selected in given area, the user density in the region is 2.25 × 10-2A/
Square metre, the WiFi AP density in the region is 5.0 × 10-4A/square metre；Default method (DS-HS) are as follows: once user moves
WiFi network overlay area out is switched on cellular network transmission data；And control methods (MDP-HS) are as follows: by user according to current
Cellular network status selection uses network；(SP-HS) that embodiment provides are as follows: each user is according to itself select probability xiCome
Choose whether access cellular network；Test data shows to increase with user density, provided in an embodiment of the present invention to be based on probability
The mobile terminal energy consumption optimization method of switching is more saved for default method (DS-HS), control methods (MDP-HS)
Energy consumption.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include
Within protection scope of the present invention.
Claims (1)
1. a kind of mobile terminal energy consumption optimization method based on probability switching, which is characterized in that the method includes following steps
It is rapid:
(a) judge whether user region has WiFi network signal, if it is not, then entering step (b)；If so, described in
WiFi network in region carries out user data transmission；
(b) judge the select probability x of the user of current time slotiWhether threshold value x is greater than；If so, using the bee in the region
Nest network carries out user data transmission；If it is not, then waiting until that user enters next WiFi network overlay area, into step
Suddenly (a)；
The select probability x of the useriIt is obtained according to following methods:
(1) the Poisson distribution situation according to WiFi AP on two-dimensional space obtains the average user number of WiFi network overlay area
Amount
Wherein, λuFor the user density in given area；λwFor the WiFi AP density in given area；R is covering for WiFi network
Lid radius；
(2) according to the average user quantity nw, the total bandwidth of WiFi network and the total bandwidth of cellular network, establish heterogeneous network
User bandwidth distribution model under network, the model include the bandwidth that user i is distributed under WiFi networkWith used under cellular network
The bandwidth that family i is distributed
(3) it according to the mobile starting point of terminal user, the random distribution situation of terminal and network, obtains terminal user i and at the uniform velocity passes through
The time of WiFi network overlay area it is expected
Wherein, viIt is the movement speed of terminal user i；LiIt is the line length between the mobile Origin And Destination of terminal user i；
(4) user's number can be connected according to WiFi network maximumAnd user density λu, obtain under WiFi network covering
User successfully links up the probability ρ of WiFi network；
(5) it is expected according to the probability ρ and user i by the time of WiFi network overlay areaObtaining user makes
With the time of WiFi network transmission data
The bandwidth that lower user i is distributed is covered according to WiFi networkObtain the transmission rate that user i gets at WiFi
The time of WiFi network transmission data is used according to the userAnd the transmission rate that user i gets at WiFiObtain the average amount transmitted by WiFi network
(6) bandwidth distributed according to the user i under cellular networkThe select probability x of useriAnd user uses WiFi network
Transmit the time of dataObtain the average amount by cellular network transmissionWherein,
TiRefer to user's i tolerable transmission time；
(7) time of WiFi network transmission data is used according to userPass through the average amount of cellular network transmission
And the average amount transmitted by WiFi networkFoundation includes terminal energy consumption when transmitting data by WiFi networkTerminal energy consumption when with by cellular network transmission dataEnergy consumption model；
(8) according to the energy consumption model, optimal solution is sought to following formula, obtains the optimal select probability x of each useri；
Each user is according to the optimal select probability xiSelection access cellular network, so that mobile terminal carries out network data biography
Defeated energy consumption is minimum；
User bandwidth distribution model is specific as follows under the heterogeneous network:
WiFi network covers the bandwidth that lower user i is distributed
The bandwidth that user i is distributed in cellular network
Wherein, i, k are Customs Assigned Number, xiFor the probability of user's i connection cellular network, xkFor the general of user's k connection cellular network
Rate, ncFor user volume number, B under cellular networkwFor the total bandwidth of WiFi network, BcFor the total bandwidth of cellular network；
The probability ρ that the user under WiFi network covering successfully links up WiFi network is specific as follows:
WhenWhen, ρ=1；
WhenWhen,
Wherein,For user density threshold values,In the step (5), transmitted by WiFi network
Average amount
In the step (6), pass through the average amount of cellular network transmissionThe energy consumption model is specific as follows:
Function are as follows:
Constraint condition are as follows:0≤xi≤1；
Wherein, PwFor the transimission power of WiFi network, PcFor the transimission power of cellular network, DiRefer to the number that user i needs to transmit
According to total amount.
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