CN109982411A - Selection method, device and its terminal of terminal access net - Google Patents
Selection method, device and its terminal of terminal access net Download PDFInfo
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- CN109982411A CN109982411A CN201711451936.6A CN201711451936A CN109982411A CN 109982411 A CN109982411 A CN 109982411A CN 201711451936 A CN201711451936 A CN 201711451936A CN 109982411 A CN109982411 A CN 109982411A
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- candidate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/08—Access restriction or access information delivery, e.g. discovery data delivery
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- 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
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- 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
Abstract
The present invention provides selection method, device and its terminals of a kind of terminal access net, method therein includes: to obtain the network quality parameters of multiple candidate cells or candidate AP, obtain the preference factor and determination subordinating degree function corresponding with preference factor of terminal selection access net, the preference angle value of multiple candidate cells or candidate AP is calculated based on subordinating degree function, and Target cell or target AP are chosen from multiple candidate cells or candidate AP based on network quality parameters, preference angle value.Selection method, device and its terminal of terminal access net of the invention, solve network technology diversification, customer service diversification, access scene diversification bring access select permeability, cell selection scheme based on user preference characteristic, by analyzing network characteristic, and demand of the user to electricity, traffic delay etc. is combined, to improve the network satisfaction of user.
Description
Technical field
The present invention relates to selection method, device and its terminals of field of communication technology more particularly to a kind of terminal access net.
Background technique
With the arriving of big data era, mobile Internet is grown rapidly, the connection between person to person, people and object, object and object
System is more and more closer, this is but also explosive growth is presented in mobile data flow.However, the carrying of mobile data flow is current
Still based on authorizing frequency spectrum.LTE (Long Term Evolution, long term evolution) and WiFi (WIreless-
Fidelity, Wireless Fidelity) it is current two big wireless technologys the most successful.Wherein, WiFi is operated in unauthorized frequency range
, WiFi can be disposed and be used to any individual.WiFi be suitble to big throughput demand, high density, Hypomobility hot spot
Regional (market, interior etc.) uses.And LTE industrial chain is very mature, has ubiquitous outdoor cover, seamless switching
Etc. characteristics, while perfect can support voice and all kinds of Stream Media Applications.LTE and WiFi represents two development of mobile broadband
Path: one is to move towards indoor from outdoor, and one is indoor to move towards outdoor.However, facing the mobile data industry of exponential growth
Business, the frequency spectrum resource of operator is limited after all, and frequency spectrum resource is the deciding factor of wireless bandwidth.It is, in general, that frequency band is got over
Width, the attainable rate of institute is higher, and capacity is also bigger.In existing network, macrocell is used to provide covering and outdoor data pass
Defeated, the cells such as WiFi AP, Home eNodeB are used to play a role in some special areas (such as Hot Spot, coverage hole).Together
When, LTE cell also begins to use unauthorized frequency range, LTE and WiFi merge be 5G development inexorable trend.How difference is utilized
The characteristics of network access technique, meeting different types of user becomes the service quality of network and the related request of user experience
Current urgent problem.
Summary of the invention
One or more embodiments of the invention provides selection method, device and its terminal of a kind of terminal access net.
According to one aspect of the disclosure, a kind of selection method of terminal access net is provided, comprising: from multiple accesses net
Choose candidate cell or candidate AP；Obtain the network quality parameters of multiple candidate cells or candidate AP；Obtain terminal selection access
The preference factor of net, and determine subordinating degree function corresponding with the preference factor；Based on the subordinating degree function with it is preset
Preference computation rule calculates the preference angle value of multiple candidate cells or candidate AP；Simultaneously according to preset access Object selection rule
Target cell or mesh are chosen from the multiple candidate cell or candidate AP based on the network quality parameters, the preference angle value
AP is marked, so that terminal accesses the Target cell or the target AP.
Optionally, described according to preset access Object selection rule and based on the network quality parameters, the preference
Angle value chooses Target cell from the multiple candidate cell or candidate AP or target AP includes: according to the candidate cell or time
The network quality parameters of AP are selected to calculate the access system mass value of the candidate cell or candidate AP；Based on the candidate cell or
The preference angle value and access system mass value of candidate AP calculates the quality optimization value of this candidate cell or candidate AP；Choose maximum matter
The corresponding candidate cell of optimal value or candidate AP are measured as the Target cell or the target AP.
Optionally, the network quality parameters include: Signal to Interference plus Noise Ratio SINR, load parameter value；Calculate i-th
The access system mass value of a candidate cell or candidate AP
Wherein, wrFor signal-to-noise ratio coefficient, wlFor load factor,For the SINR of i-th of candidate cell or candidate AP into
Value after row normalized, loadiFor the load parameter value of i-th of candidate cell or candidate AP.
Optionally, the preference factor includes: the time delay of the electricity of terminal, candidate cell or candidate AP；Calculate i-th of time
Select the preference coefficient of cell or candidate AP
ai=μx(power)*μy(delayi)；
Wherein, power is the current electric quantity of terminal, delayiFor the time delay of i-th of candidate cell or candidate AP, μxFor with
The corresponding subordinating degree function of the electricity, μyFor subordinating degree function corresponding with the time delay；Determine i-th of candidate cell or time
Select the adjustment factor γ of APi, the preference component for calculating i-th of candidate cell or candidate AP is ai×γi；Every kind of access will be belonged to
The sum of preference component of whole candidate cells of type or candidate AP is as the candidate cell or time for belonging to corresponding access style
Select the preference angle value of AP.
Optionally, the preference angle value and access system mass value based on the candidate cell or candidate AP calculates this time
Cell or the quality optimization value of candidate AP is selected to comprise determining that the quality optimization value of i-th of candidate cell or candidate AP are QoCiWith
The product of preference angle value corresponding to access style belonging to this candidate cell or candidate AP.
Optionally, the candidate cell is all LTE cell, and the candidate AP is WIFI AP；If the electricity of the terminal
Amount is lower than preset threshold value, then target AP is determined in the candidate AP, so that the terminal accesses the target AP.
Optionally, described from candidate cell or candidate AP is chosen in multiple accesses net includes: to judge that multiple accesses are netted
Whether the SINR of cell or AP are greater than preset SINR threshold value, if it is, choosing this cell or AP as candidate cell or time
AP is selected, candidate cell or access point list are obtained.
According to another aspect of the present disclosure, a kind of selection device of terminal access net is provided, comprising: candidate cell chooses mould
Block, for choosing candidate cell or candidate AP from multiple accesses net；Mass parameter obtains module, small for obtaining multiple candidates
The network quality parameters of area or candidate AP；Subordinating degree function determining module, for obtaining the preference factor of terminal selection access net,
And determine subordinating degree function corresponding with the preference factor；Preference computing module, for based on the subordinating degree function with
Preset preference computation rule calculates the preference angle value of multiple candidate cells or candidate AP；Target determination module is accessed, is used for
It is according to preset access Object selection rule and small from the multiple candidate based on the network quality parameters, the preference angle value
Target cell or target AP are chosen in area or candidate AP, so that terminal accesses the Target cell or the target AP.
Optionally, the access target determination module, comprising: mass of system computing unit, for small according to the candidate
The network quality parameters of area or candidate AP calculate the access system mass value of the candidate cell or candidate AP；Quality optimization calculates
Unit, for based on the candidate cell or candidate AP preference angle value and access system mass value calculate this candidate cell or time
Select the quality optimization value of AP；Target selection unit is made for choosing the corresponding candidate cell of biggest quality optimal value or candidate AP
For the Target cell or the target AP.
Optionally, the network quality parameters include: Signal to Interference plus Noise Ratio SINR, load parameter value；The system
System quality calculation unit, for calculating the access system mass value of i-th of candidate cell or candidate AP
Wherein, wrFor signal-to-noise ratio coefficient, wlFor load factor,For the SINR of i-th of candidate cell or candidate AP into
Value after row normalized, loadiFor the load parameter value of i-th of candidate cell or candidate AP.
Optionally, the preference factor includes: the time delay of the electricity of terminal, candidate cell or candidate AP；The preference
Computing module, for calculating the preference coefficient of i-th of candidate cell or candidate AP
ai=μx(power)*μy(delayi)；
Wherein, power is the current electric quantity of terminal, delayiFor the time delay of i-th of candidate cell or candidate AP, μxFor with
The corresponding subordinating degree function of the electricity, μyFor subordinating degree function corresponding with the time delay；The preference computing module is used
In the adjustment factor γ for determining i-th of candidate cell or candidate APi, calculate i-th of candidate cell or the preference component of candidate AP
For ai×γi；The sum of preference component of the whole candidate cells for belonging to every kind of access style or candidate AP is corresponding as belonging to
The candidate cell of access style or the preference angle value of candidate AP.
Optionally, the quality optimization computing unit, for determining the quality optimization value of i-th of candidate cell or candidate AP
For QoCiWith the product of preference angle value corresponding to access style belonging to this candidate cell or candidate AP.
Optionally, the candidate cell is all LTE cell, and the candidate AP is WIFI AP；The target selection list
Member determines target AP, so that the end if the electricity for the terminal is lower than preset threshold value in the candidate AP
It terminates into the target AP.
Optionally, the candidate cell chooses module, for judge cells or AP in multiple access nets SINR whether
Greater than preset SINR threshold value, if it is, choose this cell or AP as candidate cell or candidate AP, obtain candidate cell or
Access point list.
According to the another aspect of the disclosure, a kind of terminal is provided, comprising: the selection dress of terminal access net as described above
It sets.
According to the another aspect of the disclosure, a kind of selection device of terminal access net is provided, comprising: memory；And coupling
It is connected to the processor of the memory, the processor is configured to the instruction based on storage in the memory, executes such as
The selection method of the upper terminal access net.
According to the another further aspect of the disclosure, a kind of computer readable storage medium is provided, computer program is stored thereon with
The step of instruction, which realizes method as described above when being executed by one or more processors.
Selection method, device and its terminal of the terminal access net of the disclosure, obtain multiple candidate cells or candidate AP
Network quality parameters obtain the preference factor and determination subordinating degree function corresponding with preference factor of terminal selection access net, base
Calculate the preference angle value of multiple candidate cells or candidate AP in subordinating degree function, and based on network quality parameters, preference angle value from
Target cell or target AP are chosen in multiple candidate cells or candidate AP；Solve network technology diversification, customer service multiplicity
Change, access scene diversification bring accesses select permeability, the cell selection scheme based on user preference characteristic, by analyzing net
Network characteristic, and demand of the user to electricity, traffic delay etc. is combined, to improve the network satisfaction of user.
Detailed description of the invention
In order to illustrate more clearly of the embodiment of the present disclosure or technical solution in the prior art, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only
Some embodiments of the present disclosure, for those of ordinary skill in the art, without any creative labor, also
Other drawings may be obtained according to these drawings without any creative labor.
Fig. 1 is the flow diagram according to one embodiment of the selection method of the terminal of disclosure access net；
Fig. 2 is the tree network topology structural schematic diagram of the ultra dense degree network model of LTE；
Fig. 3 is the subordinating degree function schematic diagram according to one embodiment of the selection method of the terminal of disclosure access net；
Fig. 4 is the application scenarios schematic diagram according to one embodiment of the selection method of the terminal of disclosure access net；
Fig. 5 is the signal according to the comprehensive consideration factor of one embodiment of the selection method of the terminal of disclosure access net
Figure；
Fig. 6 is the module diagram according to one embodiment of the selection device of the terminal of disclosure access net；
Fig. 7 is the access target determination module according to one embodiment of the selection device of the terminal of disclosure access net
Module diagram；
Fig. 8 is the module diagram according to another embodiment of the selection device of the terminal of disclosure access net.
Specific embodiment
The disclosure is described more fully with reference to the accompanying drawings, wherein illustrating the exemplary embodiment of the disclosure.Under
Face will combine the attached drawing in the embodiment of the present disclosure, and the technical solution in the embodiment of the present disclosure is clearly and completely described, and show
So, described embodiment is only disclosure a part of the embodiment, instead of all the embodiments.Based on the reality in the disclosure
Example is applied, every other embodiment obtained by those of ordinary skill in the art without making creative efforts all belongs to
In the range of disclosure protection.
Fig. 1 is according to the flow diagram of one embodiment of the selection method of the terminal of disclosure access net, such as Fig. 1 institute
Show:
Step 101, candidate cell or candidate AP are chosen from multiple accesses net.
Step 102, the network quality parameters of multiple candidate cells or candidate AP are obtained.
Step 103, the preference factor of terminal selection access net is obtained, and determines degree of membership letter corresponding with preference factor
Number.
Step 104, multiple candidate cells or candidate AP are calculated based on subordinating degree function and preset preference computation rule
Preference angle value.
Step 105, according to preset access Object selection rule and based on network quality parameters, preference angle value from multiple times
It selects and chooses Target cell or target AP in cell or candidate AP, so that terminal access Target cell or target AP.
In one embodiment, candidate cell is chosen from multiple accesses net or candidate AP can be there are many method.For example,
Judge whether cells or the SINR of AP in multiple access nets are greater than preset SINR threshold value, if it is, choose this cell or
AP obtains candidate cell or access point list as candidate cell or candidate AP.
SINR (Signal to Interference plus Noise Ratio, Signal to Interference plus Noise Ratio) refers to
The ratio of the intensity of the useful signal received and the intensity of the interference signal (noise and interference) received.The access net of terminal
WIFI can be accessed for LTE network or terminal, candidate cell can all be LTE cell, and candidate AP can be WIFI AP.
In WiFi network, terminal is likely to be at three kinds of states, i.e. contention access state, idle state and transmission shape
State.Ee and Et are respectively indicated into terminal and are used to establish energy consumed by energy consumed by connection and transmission data, always
Energy consumption can indicate are as follows:
Ei=∑k∈celli(Ee(k)+Et(k))；
Compared with transmitting energy consumption, the energy consumption for establishing connection is relatively small.For being in the terminal k of transmission state,
Normalization energy consumption in Tmeasurement observation time can indicate E (k)=T (UEk), wherein T (UEk) is
Transmission time in the Tmeasurement time.In data transmission procedure, energy consumption mainly by uplink power and
Downlink data rate influences.Uplink data rate and down receiving signal intensity influence the energy consumption of terminal smaller.Due to LTE
Data transfer rate be lower than WiFi data transfer rate, therefore by WiFi transmission data can effectively reduce transmission time, transmission time
Reduce the saving for meaning energy consumption.
In the lte networks, the information exchange between base station is generally by wired mode, i.e. X2 interface.Cell
Backhaul link generally uses public network, such as Digital Subscriber Line (DSL, digital subscriber line) etc..Ultra dense
It spends in network, the distance between base station is very close, and layout wire-line back haul can in part scene (such as some indoor large places)
There can be bigger difficulty.There is very more cells in hot zones, the backhaul link between these cells may be logical
It crosses wirelessly, the use of wireless backhaul link is to solve a kind of efficient means of base station densification deployment.
Wireless backhaul link refers in the case where wire transmission has difficulties, by base station and base station (or base station with
Relaying) between wireless communication, and then realize information interaction.Data are in transmission process, it may be necessary to by primary or more
Secondary forwarding is got in MME.The ultra dense degree network model of LTE can use tree network topology structure, as shown in Figure 2.Place
In the cell of different levels, propagation delay time is not also identical.By data in multihop network, from terminal node to core net MME
Time delay be divided into two parts, i.e. propagation delay time and transmission delay:
dej=Tj+N*Trelay；
Wherein,jIndicate transmission delay, TrelayIndicate propagation delay time, in tree structure, number of plies N is influence time delay main
Factor.
Currently, most of terminal, which can all access LTE, can also access WiFi.ANDSF (access network discovery and selection
Function) the access network of terminal discovery in its vicinity can be assisted, and the order of priority of access is provided and manages these networks
Concatenate rule.In order to ensure signal quality and the complexity of calculating is reduced, the quantity of alternative cell is controlled by threshold value.
For example, alternative cell i must satisfy condition: i~SINR to user ki,k≥SINRthreshold.Wherein, SINRthreshold is
Acceptable cell lowest sinr values.By finding access network in its vicinity, available alternative cell list is denoted as
In one embodiment, candidate cell or candidate AP are calculated according to the network quality parameters of candidate cell or candidate AP
Access system mass value, preference angle value and access system mass value based on candidate cell or candidate AP calculate this candidate cell
Or the quality optimization value of candidate AP, the corresponding candidate cell of biggest quality optimal value or candidate AP are chosen as Target cell or mesh
Mark AP.The network quality parameters of candidate cell or candidate AP include: SINR, load parameter value etc..
After determining candidate cell or candidate AP, the system level information of each candidate cell or candidate AP can be collected, mainly
SINR and cell load.Existing various ways can be used by normalizing SINR, such as:
For each base station/AP, frequency spectrum resource is limited, and the number of users of service is limited, can foundation
Cell load judges whether cell can also provide air-link resources to ensure QoS of customer.For example, by working as
The case where resource block (RB, resource block) of preceding user occupancy, determines the load parameter value of candidate cell, it can be determined that
The use state of the current frequency range of candidate AP determines load parameter value, and the load parameter value of candidate cell or candidate AP can be RB
Occupy parameter value, frequency range occupies parameter value etc..
In one embodiment, i-th of candidate cell or the access system mass value of candidate AP are calculated
Wherein, i is natural number, wrFor signal-to-noise ratio coefficient, wlFor load factor,For i-th of candidate cell or candidate
The SINR of AP be normalized after value, loadiFor the load parameter value of i-th of candidate cell or candidate AP.
The concept that degree of membership belongs in fuzzy evaluation functions: fuzzy overall evaluation is done to things affected by many factors
A kind of highly effective multifactor decision making method of thoroughly evaluating out, its main feature is that evaluation result is not utterly certainly or no
It is fixed, but indicated with a fuzzy set.Preference factor includes the time delay of the electricity of terminal, candidate cell or candidate AP.Meter
Calculate the preference coefficient of i-th of candidate cell or candidate AP
ai=μx(power)*μy(delayi)；
Wherein, power is the current electric quantity of terminal, delayiFor the time delay of i-th of candidate cell or candidate AP, μxFor with
The corresponding subordinating degree function of electricity, μyFor subordinating degree function corresponding with time delay；
Determine the adjustment factor γ of i-th of candidate cell or candidate APi, calculate the inclined of i-th of candidate cell or candidate AP
Good component is ai×γi.The sum of preference component of the whole candidate cells for belonging to every kind of access style or candidate AP is used as and is belonged to
The candidate cell of corresponding access style or the preference angle value of candidate AP.
For example, candidate cell or candidate AP are respectively LTE cell and WIFI AP.Determine i-th of LTE cell or WIFI AP
Adjustment factor γi, the preference component for calculating i-th of WIFI AP or WIFI AP is ai×γi。
The conduct of the sum of preference component of whole LTE cells that access style is LTE access will be belonged to and belong to LTE access style
LTE cell preference angle value, i.e. the preference angle value of whole LTE cell is all identical.It is WIFI access that access style, which will be belonged to,
Preference angle value of the sum of the preference component of whole WIFI AP as the WIFI AP for belonging to WIFI access style, i.e. whole WIFI
The preference angle value of AP is all identical.
The quality optimization value for determining i-th of candidate cell or candidate AP is QoCiWith belonging to this candidate cell or candidate AP
The product of preference angle value corresponding to access style.The corresponding candidate cell of biggest quality optimal value or candidate AP are chosen as mesh
Mark cell or target AP.If the electricity of terminal is lower than preset threshold value, target AP is determined in candidate AP, so that terminal connects
Enter target AP.
In one embodiment, the preference characteristics of different users are different, have for the same candidate cell different
Preference.In terms of time delay, the business of user is divided into time delay tolerance service and the non-tolerance service of time delay.Time delay tolerance service
Refer to that the business is insensitive to time delay, such as file backup business and mail service.The non-tolerance service of time delay to delay requirement compared with
Height, such as voice calling service.
In terms of energy consumption, electricity abundance user and the relatively low user of electricity are defined.It transmits under identical bit, the energy consumption of WiFi
To be lower than the energy consumption of LTE.Assuming that the power level information of user can be introduced into access network discovery and selection function, for electricity
Relatively low user is measured, priority access is reduced into energy consumption into WiFi, promotes electricity continuation of the journey, i.e., to the preference of WiFi under equal conditions
Degree is higher than the preference to LTE.
Time delay and energy consumption can be used as two factors for most influencing user experience, and other user experience influence factors can be with
Referring to the algorithm decision process of this paper.Charge level and time delay tolerance can be measured by fuzzy logic control to select cell
The influence selected.The subordinating degree function of charge level and time delay tolerance is as shown in Figure 3.It can be seen that from subordinating degree function figure
When the electricity of terminal is lower than PL (30%), it is just in low battery state, it is just sufficient in electricity when electricity is higher than PH (70%)
State.For different types of business, delay-tolerant degree is different.For postponing non-tolerance service, DL is that its maximum delay connects
By level.For delay tolerance service, time delay is no longer reference factor.
By subordinating degree function and fuzzy logic ordination, the user preference degree of candidate cell, calculating side can be calculated
Formula are as follows:
Wherein, αi(x)==μx(power)*μy(delay),PsFor the preference for the candidate cell that access style is LTE access
Angle value, PAFor the preference angle value for the candidate AP that access style is WIFI access, γi(S) be access style be LTE access candidate
The adjustment factor of cell, γi(A) be access style be WIFI access candidate cell adjustment factor, M be belong to access style
For the quantity of whole candidate cells of LTE access, N is the quantity for belonging to all candidate AP that access style is WIFI access.γi
(S) and yi(A) it can be determined using existing a variety of methods, for example, all the adjustment factor of candidate AP is all set as same
A adjustment factor (such as 0.1), the adjustment factor of whole candidate cells are all set as the same adjustment factor (such as 0.15).
It, can be in conjunction with cell-level parameter to candidate after the user preference of candidate cell or AP list and cell or AP determine
Cell list is ranked up, and the process is as follows:
Cell*=argmaxi∈{iic},j∈{uniic}{PS*QoCi,pA*QoCj}。
Wherein, QoCiFor the access system mass value for the candidate cell that i-th of access style is LTE access, QoCjFor jth
A access style is the access system mass value of the candidate AP of WIFI access.Sort most preceding candidate cell or candidate AP is chosen to connect
Enter.
As shown in figure 4, user can be switched in WiFi when some hot zones is there are when reliable and stable signal, from
And the WiFi network of high-speed is enjoyed, while reducing cellular network flow bring expense.In currently existing scheme, as long as WiFi
Quality meets certain condition (covering, service quality QoS etc.), is linked into WiFi network with regard to selection.Since this WiFi is preferential
Mode considers too simple, there are some defects in some cases.For example, as shown in figure 4, a hot zones AP
Service may be provided for many users simultaneously, it sometimes appear that the case where overload, part WiFi user is often occupied a large amount of
Resource.And the access of WiFi resource is mode competition-based, this also results in increasing with number of users, WiFi's
Handling capacity performance will sharply decline, and only consider that the load of WiFi is inadequate.For such a target of LTE and WiFi shunting
Speech, needs the factor of comprehensive consideration various aspects, as shown in Figure 5.
There are many cell power controls and user access control scheme that research is dedicated to LTE system at present, but more
Research under the background of the fusion of kind of access technology and ultra dense degree networking is relatively fewer, present invention mainly solves the problem of be network
Technology diversification, customer service diversification, access scene diversification bring access select permeability, based on user preference characteristic
Cell selection scheme by analyzing network characteristic, and combines demand of the user to electricity, traffic delay etc., to improve user's
Network satisfaction.
In one embodiment, shown in the cell selection algorithm pseudocode described as follows based on user preference:
Require:{SINR(i),load(i),device information}
The best cell Ensure:{ }
1:for all cell i 2fC；Ilic；Iunlicg do
2:if SINRi≥SINRthreshold then
3: cell i is added to candidate list flistg
4:end if
5:end for
6:for all UE u 2fmDevice；lDevice；wDeviceg do
7: updating preference candidate list sequence flistg
8:if u 2fwDeviceg then
10:end if
11:if u 2flDevice；mDeviceg then
Ilic；Iunlicg
13:end if
14: calculating cell quality evaluation
15: the QoC of BS/AP in candidate list flistg is updated based on user preference information
16: being sorted based on QoC to candidate list flistg
17: the selection maximum cell of QoC value
18: starting cell switch process
19:end for
In one embodiment, as shown in fig. 6, the disclosure provides a kind of selection device 60 of terminal access net, comprising: wait
Cell is selected to choose module 61, mass parameter obtains module 62, subordinating degree function determining module 63, preference computing module 64, connects
Enter target determination module 65.Candidate cell chooses module 61 and chooses candidate cell or candidate AP from multiple accesses net.Quality ginseng
Number obtains the network quality parameters that module 62 obtains multiple candidate cells or candidate AP.Subordinating degree function determining module 63 obtains end
The preference factor of end selection access net, and determine subordinating degree function corresponding with preference factor.
Preference computing module 64 is based on subordinating degree function and preset preference computation rule calculates multiple candidate cells
Or the preference angle value of candidate AP.Target determination module 65 is accessed according to preset access Object selection rule and is based on network quality
Parameter, preference angle value choose Target cell or target AP from multiple candidate cells or candidate AP, so that terminal access target is small
Area or target AP.It is preset that candidate cell selection module 61 judges whether the SINR of cells or AP in multiple access nets is greater than
SINR threshold value obtains candidate cell or access point range if it is, choosing this cell or AP as candidate cell or candidate AP
Table.
As shown in fig. 7, access target determination module 65 includes: mass of system computing unit 651, quality optimization computing unit
652 and target selection unit 653.Mass of system computing unit 651 is according to candidate cell or the network quality parameters meter of candidate AP
Calculate candidate cell or the access system mass value of candidate AP.Quality optimization computing unit 652 is based on candidate cell or candidate AP
Preference angle value and access system mass value calculate the quality optimization value of this candidate cell or candidate AP.Target selection unit 653 selects
Take the corresponding candidate cell of biggest quality optimal value or candidate AP as Target cell or target AP.
Network quality parameters include: Signal to Interference plus Noise Ratio SINR, load parameter value etc..Mass of system computing unit
652 calculate i-th of candidate cell or the access system mass value of candidate AP
Wherein, wrFor signal-to-noise ratio coefficient, wlFor load factor,For the SINR of i-th of candidate cell or candidate AP into
Value after row normalized, loadiFor the load parameter value of i-th of candidate cell or candidate AP.
Preference factor includes: the time delay of the electricity of terminal, candidate cell or candidate AP.Preference computing module 64 calculates the
The preference coefficient of i candidate cell or candidate AP
ai=μx(power)*μy(delayi)；
Wherein, power is the current electric quantity of terminal, delayiFor the time delay of i-th of candidate cell or candidate AP, μxFor with
The corresponding subordinating degree function of electricity, μyFor subordinating degree function corresponding with time delay；Preference computing module, for determining i-th
The adjustment factor γ of candidate cell or candidate APi, the preference component for calculating i-th of candidate cell or candidate AP is ai×γi；It will
Belong to the sum of whole candidate cells of every kind of access style or the preference component of candidate AP as belonging to corresponding access style
The preference angle value of candidate cell or candidate AP.
Quality optimization computing unit 652 determines that the quality optimization value of i-th of candidate cell or candidate AP are QoCiWith this time
Select the product of preference angle value corresponding to access style belonging to cell or candidate AP.Candidate cell is all LTE cell, candidate AP
It is all WIFI AP；If the electricity of terminal is lower than preset threshold value, target selection unit 653 determines target in candidate AP
AP, so that terminal accesses target AP.
In one embodiment, the disclosure provides a kind of terminal, including the terminal access net in any embodiment as above
Selection device.
Fig. 8 is the module diagram according to another embodiment of terminal disclosed by the invention.As shown in figure 8, the device
It may include memory 81, processor 82, communication interface 83 and bus 84.Memory 81 for storing instruction, 82 coupling of processor
Memory 81 is closed, processor 82 is configured as realizing above-mentioned terminal access net based on the instruction execution that memory 81 stores
Selection method.
Memory 81 can be high speed RAM memory, nonvolatile memory (NoN-volatile memory) etc., deposit
Reservoir 81 is also possible to memory array.Memory 81 is also possible to by piecemeal, and block can be combined into virtually by certain rule
Volume.Processor 82 can be central processor CPU or application-specific integrated circuit ASIC (Application Specific
Integrated Circuit), or be arranged to implement one that terminal disclosed by the invention accesses the selection method netted
Or multiple integrated circuits.
In one embodiment, the disclosure also provides a kind of computer readable storage medium, wherein computer-readable storage
Media storage has computer instruction, and the choosing for the terminal access net that any embodiment as above is related to is realized in instruction when being executed by processor
Selection method.It should be understood by those skilled in the art that, embodiment of the disclosure can provide as method, apparatus or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the disclosure
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the disclosure, which can be used in one or more,
The calculating implemented in non-transient storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) can be used
The form of machine program product.
The disclosure is reference according to the method for the embodiment of the present disclosure, the flow chart of equipment (system) and computer program product
And/or block diagram describes.It should be understood that each process in flowchart and/or the block diagram can be realized by computer program instructions
And/or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer programs to refer to
Enable the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to generate
One machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
So far, the disclosure is described in detail.In order to avoid covering the design of the disclosure, it is public that this field institute is not described
The some details known.Those skilled in the art as described above, completely it can be appreciated how implementing technology disclosed herein
Scheme.
Selection method, device and its terminal of terminal provided by the above embodiment access net, obtain multiple candidate cells or
The network quality parameters of candidate AP obtain the preference factor and determination degree of membership corresponding with preference factor of terminal selection access net
Function is calculated the preference angle value of multiple candidate cells or candidate AP based on subordinating degree function, and is based on network quality parameters, preference
Angle value chooses Target cell or target AP from multiple candidate cells or candidate AP；Solve network technology diversification, Yong Huye
Business diversification, access scene diversification bring access select permeability, and the cell selection scheme based on user preference characteristic passes through
Network characteristic is analyzed, and combines demand of the user to electricity, traffic delay etc., to improve the network satisfaction of user.
Disclosed method and system may be achieved in many ways.For example, can by software, hardware, firmware or
Software, hardware, firmware any combination realize disclosed method and system.The said sequence of the step of for method is only
In order to be illustrated, the step of disclosed method, is not limited to sequence described in detail above, especially says unless otherwise
It is bright.In addition, in some embodiments, also the disclosure can be embodied as to record program in the recording medium, these programs include
For realizing according to the machine readable instructions of disclosed method.Thus, the disclosure also covers storage for executing according to this public affairs
The recording medium of the program for the method opened.
The description of the disclosure is given for the purpose of illustration and description, and is not exhaustively or by the disclosure
It is limited to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.It selects and retouches
Embodiment is stated and be the principle and practical application in order to more preferably illustrate the disclosure, and those skilled in the art is enable to manage
The solution disclosure is to design various embodiments suitable for specific applications with various modifications.
Claims (17)
1. a kind of selection method of terminal access net, comprising:
Candidate cell or candidate AP are chosen from multiple accesses net；
Obtain the network quality parameters of multiple candidate cells or candidate AP；
The preference factor of terminal selection access net is obtained, and determines subordinating degree function corresponding with the preference factor；
The preference of multiple candidate cells or candidate AP is calculated based on the subordinating degree function and preset preference computation rule
Value；
According to preset access Object selection rule and based on the network quality parameters, the preference angle value from the multiple time
It selects and chooses Target cell or target AP in cell or candidate AP, so that terminal accesses the Target cell or the target AP.
2. the method as described in claim 1, which is characterized in that described according to preset access Object selection rule and based on institute
It states network quality parameters, the preference angle value and chooses Target cell or target AP packet from the multiple candidate cell or candidate AP
It includes:
The access system of the candidate cell or candidate AP is calculated according to the network quality parameters of the candidate cell or candidate AP
Mass value；
Preference angle value and access system mass value based on the candidate cell or candidate AP calculate this candidate cell or candidate AP
Quality optimization value；
The corresponding candidate cell of biggest quality optimal value or candidate AP are chosen as the Target cell or the target AP.
3. method according to claim 2, which is characterized in that the network quality parameters include: signal and interference plus noise
Than SINR, load parameter value；
Calculate the access system mass value of i-th of candidate cell or candidate AP
Wherein, wrFor signal-to-noise ratio coefficient, wlFor load factor,SINR for i-th of candidate cell or candidate AP is returned
One change treated value, loadiFor the load parameter value of i-th of candidate cell or candidate AP.
4. method as claimed in claim 3, which is characterized in that the preference factor includes: the electricity, candidate cell or time of terminal
Select the time delay of AP；
Calculate the preference coefficient of i-th of candidate cell or candidate AP
ai=μx(power)*μy(delayi)；
Wherein, power is the current electric quantity of terminal, delayiFor the time delay of i-th of candidate cell or candidate AP, μxFor with it is described
The corresponding subordinating degree function of electricity, μyFor subordinating degree function corresponding with the time delay；
Determine the adjustment factor γ of i-th of candidate cell or candidate APi, calculate i-th of candidate cell or the preference component of candidate AP
For ai×γi；
The sum of preference component of the whole candidate cells for belonging to every kind of access style or candidate AP is used as and belongs to corresponding access
The candidate cell of type or the preference angle value of candidate AP.
5. method as claimed in claim 4, which is characterized in that the preference angle value based on the candidate cell or candidate AP
The quality optimization value for calculating this candidate cell or candidate AP with access system mass value includes:
The quality optimization value for determining i-th of candidate cell or candidate AP is QoCiWith access belonging to this candidate cell or candidate AP
The product of preference angle value corresponding to type.
6. method as claimed in claim 5, which is characterized in that the candidate cell is all LTE cell, and the candidate AP is
WIFI AP；
If the electricity of the terminal is lower than preset threshold value, target AP is determined in the candidate AP, so that the terminal
Access the target AP.
7. the method as described in claim 1, which is characterized in that described to choose candidate cell or candidate AP from multiple accesses net
Include:
Judge whether the SINR of cell or AP in multiple access nets is greater than preset SINR threshold value, if it is, it is small to choose this
Area or AP obtain candidate cell or access point list as candidate cell or candidate AP.
8. a kind of selection device of terminal access net, comprising:
Candidate cell chooses module, for choosing candidate cell or candidate AP from multiple accesses net；
Mass parameter obtains module, for obtaining the network quality parameters of multiple candidate cells or candidate AP；
Subordinating degree function determining module, for obtaining the preference factor of terminal selection access net, and the determining and preference factor
Corresponding subordinating degree function；
Preference computing module is small for calculating multiple candidates with preset preference computation rule based on the subordinating degree function
The preference angle value of area or candidate AP；
Target determination module is accessed, for according to preset access Object selection rule and based on the network quality parameters, institute
It states preference angle value and chooses Target cell or target AP from the multiple candidate cell or candidate AP, so that terminal accesses the mesh
Mark cell or the target AP.
9. device as claimed in claim 8, which is characterized in that
The access target determination module, comprising:
Mass of system computing unit is small for calculating the candidate according to the network quality parameters of the candidate cell or candidate AP
The access system mass value of area or candidate AP；
Quality optimization computing unit, by based on the preference angle value and access system mass value of the candidate cell or candidate AP
Calculate the quality optimization value of this candidate cell or candidate AP；
Target selection unit, for choosing the corresponding candidate cell of biggest quality optimal value or candidate AP as the Target cell
Or the target AP.
10. device as claimed in claim 9, which is characterized in that the network quality parameters include: signal and interference plus noise
Than SINR, load parameter value；
The mass of system computing unit, for calculating the access system mass value of i-th of candidate cell or candidate AP
Wherein, wrFor signal-to-noise ratio coefficient, wlFor load factor,SINR for i-th of candidate cell or candidate AP is returned
One change treated value, loadiFor the load parameter value of i-th of candidate cell or candidate AP.
11. device as claimed in claim 10, which is characterized in that the preference factor include: the electricity of terminal, candidate cell or
The time delay of candidate AP；
The preference computing module, for calculating the preference coefficient of i-th of candidate cell or candidate AP
ai=μx(power)*μy(delayi)；
Wherein, power is the current electric quantity of terminal, delayiFor the time delay of i-th of candidate cell or candidate AP, μxFor with it is described
The corresponding subordinating degree function of electricity, μyFor subordinating degree function corresponding with the time delay；
The preference computing module, for determining the adjustment factor γ of i-th of candidate cell or candidate APi, calculate i-th of time
Selecting the preference component of cell or candidate AP is ai×γi；By belong to every kind of access style whole candidate cells or candidate AP it is inclined
The sum of good component is as the candidate cell for belonging to corresponding access style or the preference angle value of candidate AP.
12. device as claimed in claim 11, which is characterized in that
The quality optimization computing unit, for determining that the quality optimization value of i-th of candidate cell or candidate AP is QoCiWith this time
Select the product of preference angle value corresponding to access style belonging to cell or candidate AP.
13. device as claimed in claim 12, which is characterized in that the candidate cell is all LTE cell, and the candidate AP is
For WIFI AP；
The target selection unit, if the electricity for the terminal is lower than preset threshold value, in the candidate AP really
Set the goal AP, so that the terminal accesses the target AP.
14. device as claimed in claim 8, which is characterized in that
The candidate cell chooses module, for judging it is preset whether the SINR of cell or AP in multiple access nets is greater than
SINR threshold value obtains candidate cell or access point range if it is, choosing this cell or AP as candidate cell or candidate AP
Table.
15. a kind of terminal, comprising:
Such as the selection device of the described in any item terminal access nets of claim 8 to 14.
16. a kind of selection device of terminal access net, comprising:
Memory；And it is coupled to the processor of the memory, the processor is configured to based on the storage is stored in
Instruction in device executes the selection method of the terminal access net as described in any one of claims 1 to 7.
17. a kind of computer readable storage medium, is stored thereon with computer program instructions, which is handled by one or more
The step of method described in claim 1 to 7 any one is realized when device executes.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110856233A (en) * | 2019-11-14 | 2020-02-28 | Oppo广东移动通信有限公司 | Communication control method and related product |
| CN113938902A (en) * | 2020-06-29 | 2022-01-14 | 华为技术有限公司 | Cell selection method and device |
| WO2022227013A1 (en) * | 2021-04-30 | 2022-11-03 | Qualcomm Incorporated | Adaptive cell selection, reselection and mobility assistance techniques |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101179849A (en) * | 2006-11-07 | 2008-05-14 | 联发科技股份有限公司 | Wireless communication device and its method of establishing a communication connection and network switch method |
| US20080130558A1 (en) * | 2004-12-07 | 2008-06-05 | Jong-Chan Lee | Acess Network Selection Method Using Multi-Criteria Decision Making In Mobile Heterogeneous Network |
| CN101384084A (en) * | 2008-10-15 | 2009-03-11 | 北京邮电大学 | Network terminal selection method and device in heterogeneous network |
| CN102497659A (en) * | 2011-12-05 | 2012-06-13 | 中国电信股份有限公司 | Method and system for network selection under dual-network coverage, and dual-mode terminal |
| CN104219782A (en) * | 2013-05-30 | 2014-12-17 | 中国电信股份有限公司 | Network access method and system |
| CN105208624A (en) * | 2015-08-27 | 2015-12-30 | 重庆邮电大学 | Service-based multi-access network selection system and method in heterogeneous wireless network |
| CN105578529A (en) * | 2016-03-09 | 2016-05-11 | 清华大学 | Access point selection system and method |
-
2017
- 2017-12-28 CN CN201711451936.6A patent/CN109982411B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080130558A1 (en) * | 2004-12-07 | 2008-06-05 | Jong-Chan Lee | Acess Network Selection Method Using Multi-Criteria Decision Making In Mobile Heterogeneous Network |
| CN101179849A (en) * | 2006-11-07 | 2008-05-14 | 联发科技股份有限公司 | Wireless communication device and its method of establishing a communication connection and network switch method |
| CN101384084A (en) * | 2008-10-15 | 2009-03-11 | 北京邮电大学 | Network terminal selection method and device in heterogeneous network |
| CN102497659A (en) * | 2011-12-05 | 2012-06-13 | 中国电信股份有限公司 | Method and system for network selection under dual-network coverage, and dual-mode terminal |
| CN104219782A (en) * | 2013-05-30 | 2014-12-17 | 中国电信股份有限公司 | Network access method and system |
| CN105208624A (en) * | 2015-08-27 | 2015-12-30 | 重庆邮电大学 | Service-based multi-access network selection system and method in heterogeneous wireless network |
| CN105578529A (en) * | 2016-03-09 | 2016-05-11 | 清华大学 | Access point selection system and method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110856233A (en) * | 2019-11-14 | 2020-02-28 | Oppo广东移动通信有限公司 | Communication control method and related product |
| CN110856233B (en) * | 2019-11-14 | 2022-04-22 | Oppo广东移动通信有限公司 | Communication control method and related product |
| CN113938902A (en) * | 2020-06-29 | 2022-01-14 | 华为技术有限公司 | Cell selection method and device |
| WO2022227013A1 (en) * | 2021-04-30 | 2022-11-03 | Qualcomm Incorporated | Adaptive cell selection, reselection and mobility assistance techniques |
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|---|---|
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