CN109982411B

CN109982411B - Method and device for selecting terminal access network and terminal thereof

Info

Publication number: CN109982411B
Application number: CN201711451936.6A
Authority: CN
Inventors: 董威
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2017-12-28
Filing date: 2017-12-28
Publication date: 2021-07-09
Anticipated expiration: 2037-12-28
Also published as: CN109982411A

Abstract

The invention provides a method, a device and a terminal for selecting a terminal access network, wherein the method comprises the following steps: the method comprises the steps of obtaining network quality parameters of a plurality of candidate cells or candidate APs, obtaining preference factors of a terminal selection access network and determining membership functions corresponding to the preference factors, calculating preference values of the candidate cells or the candidate APs based on the membership functions, and selecting a target cell or a target AP from the candidate cells or the candidate APs based on the network quality parameters and the preference values. The method, the device and the terminal for selecting the terminal access network solve the problems of access selection caused by network technology diversification, user service diversification and access scene diversification, and improve the network satisfaction degree of users by analyzing network characteristics and combining the requirements of the users on electric quantity, service delay and the like based on a cell selection scheme with user preference characteristics.

Description

Method and device for selecting terminal access network and terminal thereof

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for selecting a terminal access network, and a terminal thereof.

Background

With the coming of big data age, the mobile internet is rapidly developed, and the contact between people, people and things, and between things is more and more tight, which also makes the mobile data traffic appear explosive growth. However, the bearers for mobile data traffic are still currently based on licensed spectrum. LTE (Long Term Evolution) and WiFi (WIreless-Fidelity) are two of the most successful WIreless technologies at present. WiFi is operated on an unlicensed frequency band, and any individual can deploy and use WiFi. WiFi is suitable for use in hot spots (shopping malls, indoors, etc.) with high throughput requirements, high density, low mobility. The LTE industry chain is mature, has the ubiquitous characteristics of outdoor coverage, seamless handover, and the like, and can perfectly support voice and various streaming media applications. LTE and WiFi represent two evolving paths for mobile broadband: one is from outdoor to indoor, and the other is from indoor to outdoor. However, in the face of exponentially growing mobile data services, the spectrum resources of the operators are limited after all, and the spectrum resources are a decisive factor for the radio bandwidth. Generally, the wider the band, the higher the rate that can be achieved, and the greater the capacity. In the existing network, macro cells are used for providing coverage and outdoor data transmission, and cells such as WiFi APs and home base stations are used for playing a role in some special areas (such as hot spots and coverage holes). Meanwhile, the LTE cell also starts to use an unlicensed frequency band, and the convergence of LTE and WiFi is an inevitable trend of 5G development. How to utilize the characteristics of different network access technologies to meet the requirements of different types of users on the service quality of the network and the user experience becomes a problem which needs to be solved urgently at present.

Disclosure of Invention

One or more embodiments of the present invention provide a method and an apparatus for selecting a terminal access network, and a terminal thereof.

According to an aspect of the present disclosure, there is provided a method for selecting a terminal access network, including: selecting candidate cells or candidate APs from a plurality of access networks; acquiring network quality parameters of a plurality of candidate cells or candidate APs; acquiring a preference factor of a terminal selecting an access network, and determining a membership function corresponding to the preference factor; calculating preference values of a plurality of candidate cells or candidate APs based on the membership function and a preset preference calculation rule; and selecting a target cell or a target AP from the candidate cells or the candidate APs according to a preset access target selection rule and based on the network quality parameter and the preference value, so that the terminal can be accessed to the target cell or the target AP.

Optionally, the selecting a target cell or a target AP from the candidate cells or candidate APs according to a preset access target selection rule and based on the network quality parameter and the preference value includes: calculating the access system quality value of the candidate cell or the candidate AP according to the network quality parameter of the candidate cell or the candidate AP; calculating a quality optimization value of the candidate cell or candidate AP based on the preference value of the candidate cell or candidate AP and an access system quality value; and selecting the candidate cell or the candidate AP corresponding to the maximum quality optimization value as the target cell or the target AP.

Optionally, the network quality parameter includes: signal to interference plus noise ratio (SINR), and load parameter values; calculating access system quality value of ith candidate cell or candidate AP

Wherein, w_rAs the signal-to-noise ratio coefficient, w_lIn order to be the load factor,

normalized value, load, for SINR of the ith candidate cell or candidate AP_iIs the load parameter value of the ith candidate cell or candidate AP.

Optionally, the preference factors include: the electric quantity of the terminal, the time delay of the candidate cell or the candidate AP; calculating preference coefficients of the ith candidate cell or candidate AP

a_i＝μ_x(power)*μ_y(delay_i)；

Wherein power is the current power of the terminal, delay_iTime delay of i-th candidate cell or candidate AP, mu_xIs a membership function, mu, corresponding to said electric quantity_yIs a membership function corresponding to the time delay; determining an adjustment factor gamma for an ith candidate cell or candidate AP_iCalculating the preference component of the ith candidate cell or candidate AP as a_i×γ_i(ii) a And taking the sum of the preference components of all candidate cells or candidate APs belonging to each access type as the preference value of the candidate cells or candidate APs belonging to the corresponding access type.

Optionally, the calculating a quality optimized value of the candidate cell or candidate AP based on the preference value and the access system quality value of the candidate cell or candidate AP comprises: determining the quality optimization value of the ith candidate cell or candidate AP as QoC_iThe product of the preference values corresponding to the access types to which this candidate cell or candidate AP belongs.

Optionally, the candidate cells are all LTE cells, and the candidate APs are all WIFI APs; and if the electric quantity of the terminal is lower than a preset threshold value, determining a target AP from the candidate APs so that the terminal can access the target AP.

Optionally, the selecting a candidate cell or a candidate AP from a plurality of access networks includes: judging whether SINRs of cells or APs in the multiple access networks are larger than a preset SINR threshold value, if so, selecting the cells or the APs as candidate cells or candidate APs, and obtaining a candidate cell or access point list.

According to another aspect of the present disclosure, there is provided a selection apparatus of a terminal access network, including: a candidate cell selection module, configured to select a candidate cell or a candidate AP from multiple access networks; a quality parameter obtaining module, configured to obtain network quality parameters of multiple candidate cells or candidate APs; the membership function determining module is used for acquiring preference factors of the terminal selecting the access network and determining membership functions corresponding to the preference factors; the preference degree calculation module is used for calculating preference degree values of a plurality of candidate cells or candidate APs based on the membership degree function and a preset preference degree calculation rule; and the access target determining module is used for selecting a target cell or a target AP from the candidate cells or the candidate APs according to a preset access target selection rule and based on the network quality parameter and the preference value so as to enable the terminal to access the target cell or the target AP.

Optionally, the access target determining module includes: the system quality calculating unit is used for calculating the access system quality value of the candidate cell or the candidate AP according to the network quality parameter of the candidate cell or the candidate AP; a quality optimization calculation unit for calculating a quality optimization value of the candidate cell or the candidate AP based on the preference value and the access system quality value of the candidate cell or the candidate AP; and the target selection unit is used for selecting the candidate cell or the candidate AP corresponding to the maximum quality optimization value as the target cell or the target AP.

Optionally, the network quality parameter includes: signal to interference plus noise ratio (SINR), and load parameter values; the system quality calculating unit is used for calculating the access system quality value of the ith candidate cell or candidate AP

Optionally, the preference factors include: the electric quantity of the terminal, the time delay of the candidate cell or the candidate AP; the preference degree calculating module is used for calculating the preference coefficient of the ith candidate cell or candidate AP

a_i＝μ_x(power)*μ_y(delay_i)；

Wherein power is the current power of the terminal, delay_iTime delay of i-th candidate cell or candidate AP, mu_xIs a membership function, mu, corresponding to said electric quantity_yIs a membership function corresponding to the time delay; the preference calculation module is used for determining the adjustment coefficient gamma of the ith candidate cell or candidate AP_iCalculating the preference component of the ith candidate cell or candidate AP as a_i×γ_i(ii) a And taking the sum of the preference components of all candidate cells or candidate APs belonging to each access type as the preference value of the candidate cells or candidate APs belonging to the corresponding access type.

Optionally, the quality optimization calculating unit is configured to determine that the quality optimization value of the ith candidate cell or candidate AP is QoC_iThe product of the preference values corresponding to the access types to which this candidate cell or candidate AP belongs.

Optionally, the candidate cells are all LTE cells, and the candidate APs are all WIFI APs; the target selection unit is configured to determine a target AP from the candidate APs if the power of the terminal is lower than a preset threshold, so that the terminal accesses the target AP.

Optionally, the candidate cell selection module is configured to determine whether SINR of a cell or an AP in multiple access networks is greater than a preset SINR threshold, and if so, select the cell or the AP as a candidate cell or a candidate AP to obtain a candidate cell or access point list.

According to still another aspect of the present disclosure, there is provided a terminal including: the selection device of the terminal access network is described above.

According to another aspect of the present disclosure, there is provided a terminal access network selection apparatus, including: a memory; and a processor coupled to the memory, the processor configured to perform the method of terminal access network selection as described above based on instructions stored in the memory.

According to yet another aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by one or more processors, implement the steps of the method as described above.

The disclosed selection method, device and terminal of terminal access network obtain network quality parameters of a plurality of candidate cells or candidate APs, obtain preference factors of the terminal selection access network and determine membership function corresponding to the preference factors, calculate preference values of the plurality of candidate cells or candidate APs based on the membership function, and select target cells or target APs from the plurality of candidate cells or candidate APs based on the network quality parameters and the preference values; the method solves the access selection problems caused by network technology diversification, user service diversification and access scene diversification, and improves the network satisfaction degree of users by analyzing network characteristics and combining the requirements of the users on electric quantity, service delay and the like based on a cell selection scheme with user preference characteristics.

Drawings

In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive exercise.

Fig. 1 is a flow chart illustrating an embodiment of a method for selecting a terminal access network according to the present disclosure;

FIG. 2 is a schematic diagram of a tree network topology of an LTE ultra-density networking model;

fig. 3 is a schematic diagram of a membership function according to an embodiment of the selection method of a terminal access network according to the present disclosure;

fig. 4 is a schematic application scenario diagram of an embodiment of a method for selecting a terminal access network according to the present disclosure;

fig. 5 is a schematic diagram of a comprehensive consideration of one embodiment of a method of selecting a terminal access network according to the present disclosure;

fig. 6 is a block diagram of one embodiment of a selection apparatus of a terminal access network according to the present disclosure;

fig. 7 is a block diagram of an access target determination module of an embodiment of a selection apparatus of a terminal access network according to the present disclosure;

fig. 8 is a block diagram of another embodiment of a selection apparatus of a terminal access network according to the present disclosure.

Detailed Description

The present disclosure now will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the disclosure are shown. The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

Fig. 1 is a flowchart illustrating an embodiment of a method for selecting a terminal access network according to the present disclosure, as shown in fig. 1:

step 101, selecting candidate cells or candidate APs from a plurality of access networks.

Step 102, network quality parameters of a plurality of candidate cells or candidate APs are obtained.

And 103, acquiring preference factors of the terminal selecting the access network, and determining membership functions corresponding to the preference factors.

And 104, calculating preference values of a plurality of candidate cells or candidate APs based on the membership function and a preset preference calculation rule.

And 105, selecting a target cell or a target AP from the candidate cells or the candidate APs according to a preset access target selection rule and based on the network quality parameter and the preference value, so that the terminal can be accessed to the target cell or the target AP.

In one embodiment, there may be multiple methods for selecting candidate cells or candidate APs from multiple access networks. For example, whether the SINR of a cell or an AP in multiple access networks is greater than a preset SINR threshold is determined, and if so, the cell or the AP is selected as a candidate cell or a candidate AP to obtain a candidate cell or access point list.

SINR (Signal to Interference plus Noise Ratio) refers to the Ratio of the received strength of a desired Signal to the strength of the received Interference Signal (Noise and Interference). The access network of the terminal can be an LTE network or the terminal can be accessed into WIFI, the candidate cells can be LTE cells, and the candidate APs can be WIFI APs.

In a WiFi network, a terminal may be in three states, namely, a contention access state, an idle state, and a transmission state. Let Ee and Et denote the energy consumed by the terminal for establishing a connection and the energy consumed for transmitting data, respectively, and the total energy consumption can be expressed as:

E_i＝∑_k∈celli(E_e(k)+E_t(k))；

the energy consumption for establishing a connection is relatively small compared to the transmission energy consumption. For terminal k in transmission state, the normalized energy consumption within Tmeasurement observation time may represent e (k) ═ t (uek), where t (uek) is the transmission time within Tmeasurement time. In the data transmission process, the energy consumption is mainly affected by the uplink transmission power and the downlink data rate. The uplink data rate and the downlink received signal strength have less influence on the energy consumption of the terminal. Since the data rate of LTE is lower than that of WiFi, transmitting data through WiFi can effectively reduce transmission time, which means energy consumption saving.

In an LTE network, information interaction between base stations is generally through a wired manner, i.e., an X2 interface. The backhaul link of the small cell generally adopts a public network, such as a Digital Subscriber Line (DSL). In an ultra-dense network, the distance between base stations is very close, and it may be difficult to arrange a wired backhaul in some scenes (such as some indoor large sites). In a hot spot, there are very many small cells, and backhaul links between these cells may be wireless, and using wireless backhaul links is an efficient means to solve the dense deployment of base stations.

The wireless backhaul link is used for realizing information interaction through wireless communication between a base station and a base station (or between the base station and a relay) under the condition that wired transmission is difficult. During the transmission process, data may need to be forwarded once or more times to reach the MME. The LTE ultra-density networking model may employ a tree network topology, as shown in fig. 2. The transmission delay of cells at different levels is also different. In a multi-hop network, the time delay from a terminal node to a core network MME is divided into two parts, namely transmission time delay and sending time delay:

de_j＝T_j+N*T_relay；

wherein the content of the first and second substances,_jindicating transmission delay, T_relayThe transmission delay is represented, and in the tree structure, the number of layers N is a main factor influencing the delay.

At present, most terminals can access both LTE and WiFi. ANDSF (access network discovery and selection function) may assist a terminal in discovering access networks in its vicinity and providing a prioritization of access and connection rules governing these networks. The number of candidate cells is controlled by the threshold value in order to ensure signal quality and reduce computational complexity. For example, for user k, the alternative cell i must satisfy the condition: i-SINR_i,k≥SINR_threshold. Wherein SINRthreshold is the lowest acceptable SINR value for the cell. By discovering the access networks in its vicinity, a list of alternative cells, denoted

In one embodiment, the access system quality value of the candidate cell or the candidate AP is calculated according to the network quality parameter of the candidate cell or the candidate AP, the quality optimization value of the candidate cell or the candidate AP is calculated based on the preference value of the candidate cell or the candidate AP and the access system quality value, and the candidate cell or the candidate AP corresponding to the maximum quality optimization value is selected as the target cell or the target AP. The network quality parameters of the candidate cell or the candidate AP include: SINR, loading parameter values, etc.

After determining the candidate cells or candidate APs, system level information, mainly SINR and cell load, of each candidate cell or candidate AP may be collected. The normalized SINR may be obtained in a number of existing ways, for example:

for each base station/AP, the spectrum resources are limited, the number of users served is limited, and whether a cell can provide radio link resources can be determined according to the cell load condition to guarantee the user service quality. For example, the load parameter value of the candidate cell is determined according to the condition of the Resource Block (RB) occupied by the current user, the use state of the current frequency band of the candidate AP may be determined, and the load parameter value of the candidate cell or the candidate AP may be the RB occupied parameter value, the frequency band occupied parameter value, or the like.

In one embodiment, an access system quality value for the ith candidate cell or candidate AP is calculated

Wherein i is a natural number, w_rAs the signal-to-noise ratio coefficient, w_lIn order to be the load factor,

The degree of membership belongs to the concept in the fuzzy evaluation function: the fuzzy comprehensive evaluation is a very effective multi-factor decision method for comprehensively evaluating things influenced by various factors, and is characterized in that the evaluation result is not absolutely positive or negative, but is represented by a fuzzy set. The preference factors include the power of the terminal, the time delay of the candidate cell or the candidate AP. Calculating preference coefficients of the ith candidate cell or candidate AP

a_i＝μ_x(power)*μ_y(delay_i)；

Wherein power is the current power of the terminal, delay_iTime delay of i-th candidate cell or candidate AP, mu_xIs a membership function, mu, corresponding to the quantity of electricity_yIs a membership function corresponding to the time delay;

determining an adjustment factor gamma for an ith candidate cell or candidate AP_iCalculating the preference component of the ith candidate cell or candidate AP as a_i×γ_i. And taking the sum of the preference components of all candidate cells or candidate APs belonging to each access type as the preference value of the candidate cells or candidate APs belonging to the corresponding access type.

For example, the candidate cell or the candidate AP is an LTE cell and a WIFI AP, respectively. Determining an adjustment coefficient gamma of an ith LTE cell or WIFI AP_iCalculating the preference component of the ith WIFI AP or WIFI AP as a_i×γ_i。

And taking the sum of the preference components of all LTE cells with the access type of LTE access as the preference value of the LTE cells with the LTE access type, namely that the preference values of all LTE cells are the same. And taking the sum of the preference components of all the WIFI APs with the access types of WIFI access as the preference value of the WIFI AP with the access types of WIFI access, namely the preference values of all the WIFI APs are the same.

Determining the quality optimization value of the ith candidate cell or candidate AP as QoC_iThe product of the preference values corresponding to the access types to which this candidate cell or candidate AP belongs. And selecting the candidate cell or the candidate AP corresponding to the maximum quality optimization value as the target cell or the target AP. And if the electric quantity of the terminal is lower than a preset threshold value, determining a target AP from the candidate APs so that the terminal can access the target AP.

In one embodiment, the preference characteristics of different users are different, and different preference degrees are provided for the same candidate cell. In the aspect of time delay, the service of the user is divided into time delay tolerant service and time delay non-tolerant service. Delay tolerant services refer to services that are not delay sensitive, such as file backup services and mail services. Delay intolerant services, such as voice call services, have a high requirement on delay.

In terms of energy consumption, users with sufficient power and users with low power are defined. Under the condition of transmitting the same bit, the energy consumption of WiFi is lower than that of LTE. Assuming that the power level information of the user can be introduced into the access network discovery and selection function, for the user with low power, the user is preferentially accessed into the WiFi to reduce energy consumption and improve power endurance, namely, the preference degree of the user to the WiFi is higher than that to the LTE under the same condition.

Latency and energy consumption may be the two factors that most affect the user experience, and other user experience influencing factors may refer to the algorithmic decision process herein. The impact of power level and delay tolerance on cell selection can be measured by fuzzy logic control. The membership function of power level to delay tolerance is shown in figure 3. As can be seen from the membership function graph, when the power of the terminal is lower than PL (30%), the terminal is in a low power state, and when the power is higher than PH (70%), the terminal is in a sufficient power state. The delay tolerance varies for different types of traffic. For delay intolerant traffic, DL is its maximum delay acceptance level. For delay tolerant traffic, the delay is no longer the reference factor.

Through the membership function and the fuzzy logic rule, the user preference degree of the candidate cell can be calculated, and the calculation mode is as follows:

wherein alpha is_i(x)＝＝μ_x(_power)*μ_y(dela_y),P_sPreference value, P, for candidate cells with access type LTE access_AFor access type WIFPreference value, γ, of candidate APs for I access_i(S) adjustment coefficient, γ, for candidate cell with access type LTE access_i(A) The adjustment coefficient of the candidate cells with the access type of WIFI access is obtained, M is the number of all candidate cells with the access type of LTE access, and N is the number of all candidate APs with the access type of WIFI access. Gamma ray_i(S) and y_i(A) The determination may be performed by using various methods, for example, the adjustment coefficients of all the candidate APs are set to the same adjustment coefficient (e.g., 0.1), and the adjustment coefficients of all the candidate cells are set to the same adjustment coefficient (e.g., 0.15).

After determining the candidate cell or AP list and the user preferences of the cells or APs, the candidate cell list may be sorted in combination with the cell level parameters, the process is as follows:

cell*＝argmax_{i∈{iic},j∈{uniic}}{P_S*QoC_i,p_A*QoC_j}。

wherein, QoC_iAccess system quality value for candidate cell with i access type LTE access QoC_jAnd the access system quality value of the candidate AP with the jth access type being WIFI access. And selecting the candidate cell or the candidate AP with the highest ranking for access.

As shown in fig. 4, when a reliable and stable signal exists in a certain hotspot, the user can switch to WiFi, thereby enjoying a high-rate WiFi network while reducing the overhead caused by cellular network traffic. In the existing scheme, as long as the WiFi quality meets certain conditions (coverage, quality of service QoS, etc.), the access to the WiFi network is selected. There are some drawbacks in some cases due to the simplicity of this WiFi-first mode consideration. For example, as shown in fig. 4, an AP in a hot spot may simultaneously provide services for many users, sometimes resulting in an overload situation, and some WiFi users often occupy a large amount of resources. The access of the WiFi resources is based on a competition mode, which results in that the throughput performance of WiFi will decrease sharply as the number of users increases, and it is not enough to consider the load of WiFi. For the LTE and WiFi offloading, one goal needs to consider all factors together, as shown in fig. 5.

At present, many researches are dedicated to cell power control and user access control schemes of an LTE system, but the researches are relatively few under the background of fusion of various access technologies and ultra-density networking.

In one embodiment, the cell selection algorithm based on user preferences is shown in the following pseudo code:

Require:{SINR(i),load(i),device information}

ensure: { best cell }

1:for all cell i 2fC；Ilic；Iunlicg do

2:if SINRi≥SINRthreshold then

Adding cell i to candidate cell list flip

4:end if

5:end for

6:for all UE u 2fmDevice；lDevice；wDeviceg do

Updating preference candidate cell list order flip

8:if u 2fwDeviceg then

10:end if

11:if u 2flDevice；mDeviceg then

Ilic；Iunlicg

13:end if

Calculating cell quality assessment

QoC updating BS/AP in candidate cell list flitg based on user preference information

Ordering the candidate cell list flitg based on QoC

17 selecting QoC the largest cell

Initiating a cell handover procedure 18

19:end for

In one embodiment, as shown in fig. 6, the present disclosure provides a selection apparatus 60 of a terminal access network, including: a candidate cell selecting module 61, a quality parameter obtaining module 62, a membership function determining module 63, a preference calculating module 64 and an access target determining module 65. The candidate cell selection module 61 selects candidate cells or candidate APs from a plurality of access networks. The quality parameter acquisition module 62 acquires network quality parameters of a plurality of candidate cells or candidate APs. The membership function determining module 63 obtains a preference factor of the terminal selecting the access network, and determines a membership function corresponding to the preference factor.

The preference degree calculating module 64 calculates preference degree values of a plurality of candidate cells or candidate APs based on the membership degree function and a preset preference degree calculating rule. The access target determining module 65 selects a target cell or a target AP from a plurality of candidate cells or candidate APs according to a preset access target selecting rule and based on the network quality parameter and the preference value, so that the terminal accesses the target cell or the target AP. The candidate cell selection module 61 determines whether SINR of cells or APs in multiple access networks is greater than a preset SINR threshold, and if so, selects the cell or AP as a candidate cell or candidate AP to obtain a candidate cell or access point list.

As shown in fig. 7, the access target determination module 65 includes: a system quality calculation unit 651, a quality optimization calculation unit 652, and a target selection unit 653. The system quality calculation unit 651 calculates an access system quality value of the candidate cell or the candidate AP according to the network quality parameter of the candidate cell or the candidate AP. The quality optimization calculation unit 652 calculates a quality optimization value of a candidate cell or a candidate AP based on the preference value and the access system quality value of this candidate cell or candidate AP. The target selection unit 653 selects the candidate cell or the candidate AP corresponding to the maximum quality optimization value as the target cell or the target AP.

The network quality parameters include: signal to interference plus noise ratio, SINR, loading parameter values, etc. The system quality calculation unit 652 calculates the access system quality value of the i-th candidate cell or candidate AP

The preference factors include: power of the terminal, time delay of the candidate cell or the candidate AP. The preference degree calculation module 64 calculates preference coefficients of the i-th candidate cell or candidate AP

a_i＝μ_x(power)*μ_y(delay_i)；

Wherein power is the current power of the terminal, delay_iTime delay of i-th candidate cell or candidate AP, mu_xIs a membership function, mu, corresponding to the quantity of electricity_yIs a membership function corresponding to the time delay; a preference calculation module for determining an adjustment coefficient gamma of the i-th candidate cell or candidate AP_iCalculating the preference component of the ith candidate cell or candidate AP as a_i×γ_i(ii) a And taking the sum of the preference components of all candidate cells or candidate APs belonging to each access type as the preference value of the candidate cells or candidate APs belonging to the corresponding access type.

The quality optimization calculation unit 652 determines that the quality optimization value of the i-th candidate cell or candidate AP is QoC_iThe product of the preference values corresponding to the access types to which this candidate cell or candidate AP belongs. The candidate cells are all LTE cells, and the candidate APs are all WIFI APs; the target selection unit 653 determines a target AP among the candidate APs to allow the terminal to access the target AP if the power of the terminal is lower than a preset threshold.

In one embodiment, the present disclosure provides a terminal comprising a selection device of a terminal access network as in any of the above embodiments.

Fig. 8 is a block diagram of another embodiment of a terminal according to the present disclosure. As shown in fig. 8, the apparatus may include a memory 81, a processor 82, a communication interface 83, and a bus 84. The memory 81 is used for storing instructions, the processor 82 is coupled to the memory 81, and the processor 82 is configured to execute a selection method for implementing the above-mentioned terminal access network based on the instructions stored in the memory 81.

The memory 81 may be a high-speed RAM memory, a nonvolatile memory (NoN-volatile memory), or the like, and the memory 81 may be a memory array. The storage 81 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules. The processor 82 may be a central processing unit CPU, or an application Specific Integrated circuit asic, or one or more Integrated circuits configured to implement the method of selecting a terminal access network disclosed herein.

In one embodiment, the present disclosure also provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and the computer instructions, when executed by a processor, implement the method for selecting a terminal access network according to any of the above embodiments. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.

The method, the device and the terminal for selecting the terminal access network provided by the embodiment obtain the network quality parameters of a plurality of candidate cells or candidate APs, obtain the preference factor of the terminal for selecting the access network and determine the membership function corresponding to the preference factor, calculate the preference values of the candidate cells or the candidate APs based on the membership function, and select the target cell or the target AP from the candidate cells or the candidate APs based on the network quality parameters and the preference values; the method solves the access selection problems caused by network technology diversification, user service diversification and access scene diversification, and improves the network satisfaction degree of users by analyzing network characteristics and combining the requirements of the users on electric quantity, service delay and the like based on a cell selection scheme with user preference characteristics.

The method and system of the present disclosure may be implemented in a number of ways. For example, the methods and systems of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.

Claims

1. A method for selecting a terminal access network comprises the following steps:

selecting candidate cells or candidate APs from a plurality of access networks;

acquiring network quality parameters of a plurality of candidate cells or candidate APs;

acquiring a preference factor of a terminal selecting an access network, and determining a membership function corresponding to the preference factor;

calculating preference values of a plurality of candidate cells or candidate APs based on the membership function and a preset preference calculation rule;

wherein the preference factors include: the electric quantity of the terminal, the time delay of the candidate cell or the candidate AP; calculating preference coefficients of the ith candidate cell or candidate AP

a_i＝μ_x(power)*μ_y(delay_i)；

Wherein power is the current power of the terminal, delay_iTime delay of i-th candidate cell or candidate AP, mu_xIs a membership function, mu, corresponding to said electric quantity_yIs a membership function corresponding to the time delay;

determining an adjustment factor gamma for an ith candidate cell or candidate AP_iCalculating the preference component of the ith candidate cell or candidate AP as a_i×γ_i(ii) a Taking the sum of the preference components of all candidate cells or candidate APs belonging to each access type as the preference value of the candidate cells or candidate APs belonging to the corresponding access type;

and selecting a target cell or a target AP from the candidate cells or the candidate APs according to a preset access target selection rule and based on the network quality parameter and the preference value, so that the terminal can be accessed to the target cell or the target AP.

2. The method of claim 1, wherein the selecting the target cell or the target AP from the plurality of candidate cells or candidate APs according to a preset access target selection rule and based on the network quality parameter and the preference value comprises:

calculating the access system quality value of the candidate cell or the candidate AP according to the network quality parameter of the candidate cell or the candidate AP;

calculating a quality optimization value of the candidate cell or candidate AP based on the preference value of the candidate cell or candidate AP and an access system quality value;

and selecting the candidate cell or the candidate AP corresponding to the maximum quality optimization value as the target cell or the target AP.

3. The method of claim 2, wherein the network quality parameter comprises: signal to interference plus noise ratio (SINR), and load parameter values;

calculating access system quality value of ith candidate cell or candidate AP

4. The method of claim 3, wherein said calculating a quality optimized value for the candidate cell or candidate AP based on the preference value and access system quality value for the candidate cell or candidate AP comprises:

determining the quality optimization value of the ith candidate cell or candidate AP as QoC_iThe product of the preference values corresponding to the access types to which this candidate cell or candidate AP belongs.

5. The method of claim 4, wherein the candidate cells are all LTE cells and the candidate APs are all WIFIAPs;

and if the electric quantity of the terminal is lower than a preset threshold value, determining a target AP from the candidate APs so that the terminal can access the target AP.

6. The method of claim 1, wherein the selecting the candidate cell or the candidate AP from the plurality of access networks comprises:

judging whether SINRs of cells or APs in the multiple access networks are larger than a preset SINR threshold value, if so, selecting the cells or the APs as candidate cells or candidate APs, and obtaining a candidate cell or access point list.

7. A selection apparatus of a terminal access network, comprising:

a candidate cell selection module, configured to select a candidate cell or a candidate AP from multiple access networks;

a quality parameter obtaining module, configured to obtain network quality parameters of multiple candidate cells or candidate APs;

the membership function determining module is used for acquiring preference factors of the terminal selecting the access network and determining membership functions corresponding to the preference factors;

the preference degree calculation module is used for calculating preference degree values of a plurality of candidate cells or candidate APs based on the membership degree function and a preset preference degree calculation rule;

wherein the preference factors include: the electric quantity of the terminal, the time delay of the candidate cell or the candidate AP; the preference degree calculating module is used for calculating the preference coefficient of the ith candidate cell or candidate AP

a_i＝μ_x(power)*μ_y(delay_i)；

the preference calculation module is used for determining the adjustment coefficient gamma of the ith candidate cell or candidate AP_iCalculating the preference component of the ith candidate cell or candidate AP as a_i×γ_i(ii) a Taking the sum of the preference components of all candidate cells or candidate APs belonging to each access type as the preference value of the candidate cells or candidate APs belonging to the corresponding access type; and the access target determining module is used for selecting a target cell or a target AP from the candidate cells or the candidate APs according to a preset access target selection rule and based on the network quality parameter and the preference value so as to enable the terminal to access the target cell or the target AP.

8. The apparatus of claim 7,

the access target determination module comprises:

the system quality calculating unit is used for calculating the access system quality value of the candidate cell or the candidate AP according to the network quality parameter of the candidate cell or the candidate AP;

a quality optimization calculation unit for calculating a quality optimization value of the candidate cell or the candidate AP based on the preference value and the access system quality value of the candidate cell or the candidate AP;

and the target selection unit is used for selecting the candidate cell or the candidate AP corresponding to the maximum quality optimization value as the target cell or the target AP.

9. The apparatus of claim 8, wherein the network quality parameter comprises: signal to interference plus noise ratio (SINR), and load parameter values;

the system quality calculating unit is used for calculating the access system quality value of the ith candidate cell or candidate AP

10. The apparatus of claim 8,

the quality optimization calculating unit is used for determining that the quality optimization value of the ith candidate cell or candidate AP is QoC_iThe product of the preference values corresponding to the access types to which this candidate cell or candidate AP belongs.

11. The apparatus of claim 10, wherein the candidate cells are all LTE cells, and the candidate APs are all WIFIAPs;

the target selection unit is configured to determine a target AP from the candidate APs if the power of the terminal is lower than a preset threshold, so that the terminal accesses the target AP.

12. The apparatus of claim 7,

and the candidate cell selection module is used for judging whether the SINR of the cells or the APs in the plurality of access networks is greater than a preset SINR threshold value, if so, selecting the cell or the AP as a candidate cell or a candidate AP to obtain a candidate cell or access point list.

13. A terminal, comprising:

selection means for a terminal access network according to any of claims 7 to 12.

14. A selection apparatus of a terminal access network, comprising:

a memory; and a processor coupled to the memory, the processor configured to perform the method of terminal access network selection according to any one of claims 1 to 6 based on instructions stored in the memory.

15. A computer readable storage medium having stored thereon computer program instructions which, when executed by one or more processors, implement the steps of the method of any one of claims 1 to 6.