WO2018018770A1

WO2018018770A1 - Method and terminal apparatus for scheduling of multiple service provider subscription networks, and storage medium

Info

Publication number: WO2018018770A1
Application number: PCT/CN2016/103251
Authority: WO
Inventors: 王书虹; 符兵; 仲从民
Original assignee: 中兴通讯股份有限公司
Priority date: 2016-07-26
Filing date: 2016-10-25
Publication date: 2018-02-01
Also published as: CN107659925B; CN107659925A

Abstract

Embodiments of the present invention provide a method for adaptive scheduling of multiple service provider subscription networks. The method comprises: calculating, based on a processing capability of a radio-frequency module of a terminal apparatus, a network environment of the terminal apparatus; and dynamically adjusting, by using an algorithm of a predetermined categorized scenario, an operation parameter in multiple service provider subscriptions that affects scheduling of radio-frequency resources. The method achieves dynamic enabling and disabling of multiple service provider subscription networks, and at the same time reduces terminal power consumption, accomplishing enhanced user satisfaction with respect to network service quality of multiple service providers and terminal quality. Embodiments of the present invention further provide a terminal apparatus comprising a core scheduling module, and a storage medium. The core scheduling module is capable of adaptive scheduling for multiple service provider subscription networks.

Description

Method for scheduling multiple sets of operators to subscribe to networks, terminal devices, and storage media

Technical field

The invention belongs to the technical field of wireless communication, and relates to a method for adaptive scheduling of multiple sets of operator subscription networks. The invention further relates to a terminal device and a storage medium for adaptively scheduling multiple sets of operators to subscribe to a network.

Background technique

Two mobile phone cards can be inserted into the card slot of the dual-card mobile phone, and work in two network modes. The two working modes can be the same network or different networks, and the mobile phone supports two sets of operators to subscribe to the network. From the perspective of technical implementation, there are two common dual card implementations in the current technology:

One is to use two sets of chipsets, that is, two sets of baseband chips, radio frequency chips and a memory system are installed in the mobile phone, which is equivalent to the merger of two complete mobile phone motherboards in the same casing, which is costly and leads to mobile phones. The power consumption is greatly increased; the other is that two mobile phone cards share a set of radio frequency resources, and switches are added to the traditional mobile phone chipset to realize control and switching of different operators' subscription networks by giving the dual card card slot switch states. In the current multi-card technology, the card slot usually needs to be manually opened and closed by the user, and the user generally does not have the difficulty of manually giving the switch state of the multi-card slot in real time according to environmental changes.

The related art discloses a method for automatic time-segment online of a dual-card mobile phone, which automatically detects and reads a pre-assigned online strategy table including a dual-card online mode selection for a certain period of time, and starts dual-card automatic time-segment online. The related program has its content; it can realize the dual-card time-sharing of mobile phones without manual intervention, and meet the individualized needs of different users. The document provides a scheme for realizing multiple sets of operator subscription automatic scheduling by reading a preset online policy, but the strategy only involves a fixed online time period, and does not have the function of dynamically adjusting subscriptions according to network environments of different operators.

For a mobile phone terminal that shares RF resources with multiple cards, under the network subscription policy of the standard protocol, one of the card's network environments cannot provide services, and the card will also try to capture the system; even if one card is only capable of providing poor network services. The environment, and there may be cases where the search cannot be paged, the card will still be monitored regularly. This kind of network finding solution will affect the performance of the card in a normal network environment, and the card with poor status will be found and monitored. The paging action also increases the power consumption of the terminal and affects the user experience. For example, in a dual-card project, when a card with a weak signal is dropped, or a card needs to monopolize the RF resources to improve performance, if the card with the normal network working capability can be dynamically adjusted, the RF resource is exclusively occupied. It can achieve the purpose of improving network performance and reducing power consumption, and can provide a better user experience.

In view of the development trend of smart terminals, how to dynamically adjust the relevant parameters of multiple operators' subscription networks to optimize RF resources and reduce power consumption has become a technical problem to be solved.

Summary of the invention

The technical problem to be solved by the present invention is to provide a method for adaptively scheduling multiple sets of operators to subscribe to a network, and a terminal device and a storage medium, which can realize dynamic shutdown and opening of multiple sets of carrier subscription networks, and reduce terminal power consumption, and effectively Improve user satisfaction with multi-operator network service quality and terminal quality.

To achieve the above technical purpose, the technical solution of the embodiment of the present invention is as follows:

In a first aspect, an embodiment of the present invention provides a method for adaptively scheduling multiple sets of operators to subscribe to a network, including the following steps:

Obtain terminal device information;

Determining, according to the terminal device information, an abnormal influence degree of the subscription of each operator;

Automatically selecting an execution object that meets the execution object standard from the respective operator subscriptions according to the degree of abnormality influence;

Automatically scheduling the execution object to perform an execution action corresponding to the degree of abnormal influence in the preset adjustment policy.

In other embodiments of the present invention, the terminal device information includes a radio frequency capability of the terminal device, a used scenario, and a network environment of the resident network, and the subscriber subscriptions are measured by the subscription coefficient C _Sub subscribed by each operator. The extent of the abnormal impact. The determining the degree of abnormality of the subscription of each operator includes: quantifying the radio frequency capability of the terminal device, the used scenario, and the network environment of the resident network, respectively obtaining the capability dimension parameter P _CD , the scenario dimension parameter P _{SD ,} and the corresponding location dimension network said network parameter P _ND; C _Sub the said P _CD, P _SD and P _ND function, by the P _CD, P _SD value calculating P _ND and the obtained values of the C _Sub.

In other embodiments of the present invention, the related factors of the radio frequency capability include a radio frequency scheme for the terminal device and a communication protocol scheme to which the operator subscribes to the network parameter, respectively assigning weighting coefficients of the two correlation factors, and taking the product of the two weighting coefficients as the The value of the P _CD ; the relevant factors of the used scenario include a time period setting and a moving speed of the terminal device, respectively weighted by two correlation factors, and a product of the two weighting coefficients is a value of the P _SD ; the network The relevant factors of the environment include the signal cell number of the terminal device and the current resident base station bad history data, respectively assigned two correlation factor weighting coefficients, and the product of the two weighting coefficients is the value of the P _ND .

In other embodiments of the present invention, the radio frequency scheme includes an operator subscribing to a shared radio resource and using an independent radio resource; the communication protocol scheme includes using a hybrid protocol stack and a single protocol stack; the time period setting includes non-coincidence And the non-perturbation time period; the signal grid number is a quantized representation of a signal strength and a signal to noise ratio parameter including a network in which the terminal device is located; and the moving speed is a speed at which the carrier device is located at a moving speed; The current camping base station failure history data is the number of times the terminal device has an abnormality on the base station.

As a preferred C _Sub function, taking the value of the C _Sub P _CD, P _SD and the product of the square root of P _ND.

In other embodiments of the invention, the core scheduling module selects an operator with the largest C _Sub value to subscribe to the execution object.

As a preference of the weighting coefficient, the value of the weighting coefficient given by the same correlation factor is positively correlated with the degree of enhancement of the correlation factor to the abnormality of the operator subscription; the execution object criterion is to select the value having the largest C _Sub value. The operator subscribes to the execution object.

In other embodiments of the present invention, the C _Sub value subscribed by each of the operators is calculated to have a refresh rate of 1 time per second.

In other embodiments of the present invention, the preset adjustment policy includes the execution actions respectively corresponding to different interval values of the operator subscription coefficient C _Sub . Different actions are performed when the degree of abnormality of the operator subscription falls within different intervals.

In other embodiments of the present invention, the performing action includes adjusting a listening time slot of a network parameter subscribed by an operator, finding a network solution, and turning on/off the operator subscription.

In a second aspect, an embodiment of the present invention further provides a terminal device that adaptively schedules multiple sets of operator subscription networks, including a radio frequency module, an operator subscription module, a database, and a core scheduling module, where:

The operator subscription module includes multiple sets of carrier subscriptions;

The core scheduling module is configured to acquire the terminal device information, including acquiring the radio frequency capability of the radio frequency module, measuring a network environment of the network that resides in the operator subscription module, and loading a scenario matrix of the used scenario from the database;

The core scheduling module presets an execution object standard and a preset adjustment policy, and is further configured to automatically perform the following task: determining, according to the obtained terminal device information, an abnormality degree of the subscription of each operator, according to the abnormality The degree of influence is selected from the respective operator subscriptions, and the execution object corresponding to the execution target criterion is selected, and the execution instruction is scheduled to execute the execution action corresponding to the degree of abnormal influence in the preset adjustment policy.

In other embodiments of the present invention, the core scheduling module includes a core algorithm sub-module; the core algorithm sub-module is configured to quantize the radio frequency capability, the scene matrix, and the network environment, and respectively calculate the capability dimension parameter P. _CD , scene dimension parameter P _SD and network dimension parameter P _ND corresponding to the network; the core algorithm sub-module is further configured to calculate a subscription coefficient C _Sub according to the obtained terminal device information, and the subscription coefficient C _Sub measures each The degree of abnormal impact of the operator subscription is a function of the P _CD , P _{SD ,} and P _ND .

In other embodiments of the present invention, the core algorithm sub-module is configured to calculate a product of a weighting coefficient between a radio frequency scheme of the terminal device and a communication protocol scheme to which the operator subscribes to the network parameter, to obtain a value of the P _CD ; The core algorithm sub-module is configured to calculate a product of a weighting coefficient of a time period setting and a moving speed of the terminal device to obtain a value of the P _SD ; and the core algorithm sub-module is configured to calculate a signal of the terminal device The product of the number of cells and the weighting coefficient of the current resident base station bad history data, the value of the P _ND is obtained.

As a preferred function of the C _Sub function, the core algorithm sub-module takes the value of C _Sub as the square root of the products of the P _CD , P _SD and P _ND .

In other embodiments of the present invention, the core algorithm sub-module calculates the frequency of the C _Sub value subscribed by each of the operators to be 1 time per second.

In other embodiments of the present invention, the preset adjustment policy includes the execution actions respectively corresponding to different interval values of the operator subscription coefficient C _Sub .

In a fifth aspect, an embodiment of the present invention provides a computer storage medium, where the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute multiple sets of adaptive scheduling provided by the first aspect of the present invention. The method by which operators subscribe to the network.

The technical solution provided by the embodiment of the present invention is based on the network environment in which the radio module processing capability of the terminal is measured, and then dynamically adjusts the parameters affecting the radio resource scheduling in the multi-operator subscription by using a preset scenario of the classified scenario, and implements multiple sets. The dynamic shutdown and opening of the subscriber's subscription network can guarantee the performance of the optimal carrier subscription under the network exception, optimize the network policy through the scenario used by the user, reduce the power consumption, and improve the service quality and terminal quality of the multi-operator network. The effect of satisfaction.

DRAWINGS

1 is a basic flowchart of a method for adaptively scheduling multiple sets of operators to subscribe to a network according to an embodiment of the present invention;

2 is a flowchart of implementing S1 in the embodiment of the present invention;

3 is a flowchart of implementing S2 in the embodiment of the present invention;

4 is a structural block diagram of a terminal device that adaptively schedules multiple sets of operators to subscribe to a network according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of the working principle of a core scheduling module in a terminal device according to an embodiment of the present invention.

[Main component symbol description]

1-RF module; 2-operator subscription module; 3-database; 4-core scheduling module; 41-core algorithm sub-module.

detailed description

The detailed description of the technical solutions, the technical solutions and the advantages of the present invention will be described in detail below with reference to the drawings and specific embodiments. It should be understood that the application examples described herein are only used to illustrate and explain the technical solutions of the present invention. It is not intended to limit the scope of the invention.

The embodiment of the present invention provides a method for adaptively scheduling multiple sets of operators to subscribe to a network, and a basic implementation manner shown in FIG. 1 includes the following steps:

S1, acquiring terminal device information;

Optionally, the terminal device information includes a radio frequency capability of the terminal device, a used scenario, and a network environment of the resident network.

S2. Determine, according to the terminal device information, an abnormality degree of the subscription of each operator.

S3, automatically selecting an execution object that meets the execution object standard from the subscriptions of the operators according to the degree of abnormality;

The above-mentioned execution object refers to an operator subscription that needs to perform subscription network adjustment. The preset criteria for selecting an execution object is the above-mentioned execution object standard, and the usual execution object standard can be set to be selected. The operator subscription exception with the highest degree of abnormality and the greatest impact on the user experience is the execution target. In the case of having more than two sets of carrier subscriptions, the execution object standard can also be set to two or more carriers with the highest degree of abnormality. Subscribe as an execution object.

S4. Automatically scheduling the execution object to perform an execution action corresponding to the degree of abnormal influence in the preset adjustment policy.

The preset adjustment policy refers to a preset policy scheme for adjusting the subscription network setting according to the abnormal degree of the execution object; the foregoing execution action refers to the execution content of the adjustment subscription network setting included in the preset adjustment policy, which may include adjusting the monitoring of the network parameter. Time slot, adjustment of the network lookup scheme, and setting of the on/off of the carrier subscription as the execution object.

As shown in FIG. 2, the implementation process included in step S1 is as follows:

S101. The terminal device is powered on.

S102. Obtain radio frequency capability information of the terminal device, including the number of the radio chip of the terminal device and the information of the subscription module of the operator. The information of the subscription module of the operator includes that the terminal has several sets of operator subscriptions, which carriers belong to the carrier, and the operator belongs to the LTE/UMTS. It is also information such as a service provider of LTE/CDMA; the operator subscription is simply a user identification parameter and a carrier network customization parameter in the mobile phone card, since these parameters may come from a mobile phone card or pre-made to a terminal storage area, As the technology develops, it may also be stored in a computer cloud network. The source is not limited here, and is collectively referred to as an operator subscription.

S103. Load a scene matrix, where the scene matrix is an initial preset or an assignment information of a used scene saved in a database after being calculated and updated.

S104: The network environment is measured, that is, the network status of the network where the terminal device resides is obtained, where the network environment includes an abnormal scenario in which a certain operator subscribes to the network parameter, such as a network failure to provide network service, a low interworking rate, and a network The quality of the call is poor, and the data packet loss rate is high.

Data can be calculated based on RF capabilities, scene matrices, and network environments The analysis automatically adjusts the network monitoring time slot, the network finding solution, and the closing and opening policies of the operator's subscription network parameters according to the result.

As shown in FIG. 3, the implementation process included in step S2 is as follows:

S201: Obtain a capability dimension parameter P _CD , where the P _CD is a quantized representation of the radio frequency capability of the terminal device, and is calculated by weighting the radio protocol of the terminal device and the communication protocol scheme of the operator subscription network parameter:

The radio frequency scheme refers to whether the multi-operator subscription network parameter configuration is that each operator subscribes to the network parameter to have an independent radio resource or a shared radio resource;

The communication protocol scheme of the operator's subscription network parameter refers to whether the hybrid protocol stack scheme is used. For example, CSFB (Circuit Switched Fallback) is standby under LTE, and SRLTE (Single Radio LTE) is a single radio frequency voice data scheme. Standby in LTE and CDMA, LTE and CDMA time division multiplexing, the occupied radio frequency resources are different.

The weighting factor settings for the capability dimension parameter P _CD are shown in Table 1 below:

As shown in the above table, the value of the shared RF resource weighting factor is large. The shared RF resource means that multiple operators subscribe to the radio resource. Therefore, if one of the subscriptions is abnormal, the preemption of the radio resource is invalid. That is, the abnormal effect is greater;

Similarly, the multi-stack standby communication protocol schemes SRLTE and 1x/EVDO (switching between telecommunication 2G and 3G networks) have larger weighting coefficients than CSFB and UMTS (Universal Mobile Telecommunications System) of single protocol stack standby. Single The protocol stack standby uses only one protocol stack, and the other communication protocol schemes in the table use two protocol stacks. Therefore, even under normal circumstances, the multi-protocol stack preempts more RF resources, and the degree of influence is greater when an abnormality occurs. Its weighting coefficient is large.

In the present embodiment, the value of the capability dimension parameter P _CD is the product of the row and column weighting coefficients in the table.

S202. Acquire a scene dimension parameter P _SD , where the P _SD is a quantized representation of a used scene of the terminal device, and is calculated by time period setting and moving speed weighting of the terminal device:

The time period setting refers to the do not disturb time period and the non-do not disturb time period set by the user, and the two time periods do not coincide;

The moving speed refers to the speed at which the carrier is located, and can be calculated by the GPS information of the terminal device, and can be divided into the following four states:

The quiescent state, that is, the state in which the terminal is almost immovable, or the speed at which the person is holding the slow walking, the average speed is about 0.5 m/s;

The low-speed moving state, that is, the speed at which the human hand-held terminal steps, the average speed is about 3 m/s;

The medium-speed moving state, that is, the speed of vehicle movement in the city, the average speed is about 17m/s (about 60km/h);

High-speed moving state, that is, the speed of moving on a car or train at high speed;

According to the above state, the speed interval is set to [0, 1 m/s), [1 m/s, 3 m/s), [3 m/s, 17 m/s), and [17 m/s, ∞).

The weighting coefficient settings of the scene dimension parameter P _SD are as shown in Table 2 below:

加权系数(括号内)Weighting factor (in brackets)	非勿扰时间段(1)Non-do not disturb time period (1)	勿扰时间段(2)Do not disturb time period (2)
[17m/s,∞)(1)[17m/s, ∞) (1)	11	22
[3m/s,17m/s)(2)[3m/s, 17m/s) (2)	22	44
[1m/s,3m/s)(4)[1m/s, 3m/s) (4)	44	88
[0,1m/s)(8)[0, 1m/s) (8)	88	1616

As shown in the above table, the user-defined do not disturb time period indicates that the user does not care about the network at this time. The situation of the machine and the paging monitoring situation, so if one of the subscriptions is abnormal, the network interval or the monitoring time slot can be extended to the maximum extent, and the allowed abnormality is greater, so the weighting coefficient is set to be higher than a larger value for the time period;

Similarly, the lower the moving speed, the smaller the weighting coefficient, because if the terminal is in the mobile state, it means that the network is more likely to recover normally. If the terminal is in a static state anyway, when one of the subscriptions is abnormal, the possibility of recovery is The smaller, that is, the anomalous effect is greater, so the weighting coefficient at low speed is larger.

In the present embodiment, the value of the scene dimension parameter P _SD is the product of the row and column weighting coefficients in the table.

S203. Acquire a network dimension parameter P _ND , where the P _ND is a quantized representation of a network environment where the terminal device resides in the network, and is weighted by the number of signal cells of the terminal device and the current history of the base station bad base station data:

The signal cell number of the terminal device is actually quantified according to the signal strength, signal-to-noise ratio and other parameters of the network where the terminal is located. At present, the general industry specifications are 5-segment signal bars, and the range division is basically the same, which can be well quantified. The network environment in which the terminal is located;

The current history of bad base station data of the terminal refers to the number of abnormal occurrences such as the access denied by the terminal and the high error rate of the service state, which can be divided into the following three states:

Low probability, less than 3 times;

Medium probability, 3 to 10 times;

High probability, higher than 10 times.

The weighting coefficients of the network dimension parameter P _ND are set as shown in Table 3 below:

加权系数(括号内)Weighting factor (in brackets)	低概率(1)Low probability (1)	中概率(2)Medium probability (2)	高概率(4)High probability (4)
5格信号(1)5 grid signal (1)	11	22	44
4格信号(2)4 grid signal (2)	22	44	88
3格信号(4)3 grid signal (4)	44	88	1616
2格信号(8)2 grid signal (8)	88	1616	3232

1格信号(16)1 grid signal (16)	1616	3232	6464
0格信号(32)0 grid signal (32)	3232	6464	128128
无服务(64)No service (64)	6464	128128	256256

As shown in the above table, the smaller the number of signal cells, the larger the weighting coefficient setting, because the smaller the number of signal cells, the worse the network environment in which a certain subscription of the terminal is located, and the corresponding operator subscription exception is more likely to occur, so its weighting coefficient Larger setting;

Similarly, the more bad historical data that the terminal device has on a certain base station, the greater the probability that a certain set of operators of the terminal subscribes to an abnormality on the base station, so the weighting coefficient is larger.

In the present embodiment, the value of the network dimension parameter P _ND is the product of the row and column weighting coefficients in the table.

S204. Calculate a subscription coefficient C _Sub subscribed by each operator, and a subscription coefficient C _Sub :

C _Sub =Function(P _CD ,P _SD ,P _ND )

That is, C _Sub is a Function function of the P _CD , P _SD and P _ND , wherein the Function function can be selected according to the actual situation, and is set as the square root of the product in this embodiment, namely:

And the subscription coefficient C _Sub value is divided into four intervals: [1, 4), [4, 32), [32, 128), and [128, ∞).

As a preferred implementation manner, the subscription coefficient C _Sub subscribed by each operator is calculated once per second.

When performing step S3, according to the setting of the weighting coefficients in the above tables, the larger the subscription coefficient C _Sub subscribed by the operator of a certain network, the less the protocol stack in which the parameter is located can provide high quality user experience service, and the like The status may not be recoverable in a short period of time, that is, the impact of the carrier subscription exception is greater, so the operator subscription with the largest C _Sub value is selected as the execution object.

When the step S4 is performed, the corresponding execution action is selected in the preset preset adjustment policy according to the C _Sub value subscribed by the selected operator. The execution actions corresponding to the different subscription coefficients are as shown in Table 4 below:

As shown in the above table, the performing action in this embodiment includes dynamically adjusting the monitoring time slot and the network finding scheme of the operator subscription network parameter; in the above table, the SCI (Slot Cycle index) is the internship period, and the OosAcqInterval (Out of service Acquire Interval) is No service to find the network interval.

The performing action in this embodiment further includes turning off/on the operator subscription policy. Setting a trigger duration, if a subscription coefficient C _Sub subscribed by a certain set of operators is in the highest value interval [128, ∞) reaches the trigger duration, the operator subscription is closed and a prompt is popped up to inform the user, and a timer is given; After the timer expires, the operator subscription is re-opened and a prompt is displayed to inform the user; if another operator subscription is determined to be a new execution object due to the application scenario change during the period when the carrier subscription is closed, the closed operation is opened. Subscribe to the merchant and pop up a prompt to inform the user.

An example of the application scenario of the method in this embodiment is as follows: When a dual-operator subscription project of China Telecom and China Mobile Carrier Card is used, when the mobile network coverage of China is not good in a certain network environment, network access failure and network loss are likely to occur. If the abnormal situation occurs, and at this time, it is in the do not disturb time period set by the user, and the user is in a static state again, for example, the user is sleeping, using the method of the embodiment to automatically schedule and adjust the monitoring strategy and the network finding solution of the Chinese mobile card until the system is closed. The card slot of China Mobile Card will not occupy the radio frequency resources of China Telecom card and can reduce the power consumption of terminal equipment.

The algorithm used in the foregoing embodiment of the present invention is only used to describe the relationship between the capability dimension parameter, the scene dimension parameter, the network dimension parameter, and the weighting coefficient, and the weighting coefficient may be set by using the most common left shift weighted shift mode in the computer, that is, from Bit 0 shifts the weight to the left in turn, but the algorithm It is not intended to limit the scope of the invention.

As shown in FIG. 4 and FIG. 5, an embodiment of the present invention provides a method for adaptively scheduling multiple sets of operators to subscribe to a network, and a mobile terminal, including: a radio frequency module 1, an operator subscription module 2, a database 3, and a core scheduling module. 4, where:

The carrier subscription module 2 includes multiple sets of carrier subscriptions;

The core scheduling module 4 is configured to acquire the terminal device information, including acquiring the radio frequency capability of the radio frequency module 1, measuring the network environment of the network in the operator subscription module 2, and loading the scenario matrix of the used scenario from the database 3; The core scheduling module 4 presets an execution target standard and a preset adjustment policy, and is configured to automatically perform the following tasks: determining, according to the obtained terminal device information, an abnormal influence degree of each operator subscription, according to the The degree of abnormality is selected from the respective operator subscriptions, and the execution object corresponding to the execution target criterion is selected, and the execution instruction is scheduled to execute the execution action corresponding to the degree of abnormal influence in the preset adjustment policy.

The core scheduling module 4 includes a core algorithm sub-module 41 configured to quantize the radio frequency capability, the scene matrix, and the network environment, and calculate the capability dimension parameter P _CD , the scene dimension parameter P _{SD ,} and the corresponding location respectively. The network dimension parameter P _ND of the network is further configured to calculate a subscription coefficient C _Sub according to the obtained terminal device information, and measure, by using the subscription coefficient C _Sub , an abnormal influence degree of each operator subscription, which is the P _CD and P The function of _SD and P _ND .

The calculation of the P _CD , P _SD , P _ND and the subscription coefficient C _Sub uses the method provided in the foregoing embodiment of the present invention, and the selection and execution actions of the execution object also use the aforementioned method.

The terminal device including the core scheduling module provided by the embodiment of the present invention uses the weighting coefficient of each relevant factor to quantify the impact of the operator subscription exception. The larger the weighting coefficient indicates that the subscription is abnormal, the easier it is to affect the user experience. The core scheduling module automatically selects an execution action corresponding to the operator subscription from the preset adjustment policy according to the acquired degree of influence of the subscription exception of each operator, and implements adaptive scheduling of multiple sets of carrier subscription networks.

Each module included in the terminal device and each submodule included in each module in the embodiment of the present invention may be implemented by a processor in the terminal device; of course, it may also be implemented by a logic circuit, and in the process of implementation, processing The device can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA).

It should be noted that, in the embodiment of the present invention, if the foregoing method for adaptively scheduling multiple sets of operators to subscribe to the network is implemented in the form of a software function module, and is sold or used as an independent product, it may also be stored in one computer. Read in the storage medium. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including a plurality of instructions. A computer device (which may be a personal computer, server, or network device, etc.) is caused to perform all or part of the methods described in various embodiments of the present invention. The foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.

Correspondingly, the embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores computer executable instructions, and the computer executable instructions are used to perform adaptive scheduling of multiple sets of carrier subscription networks in the embodiment of the present invention. Methods.

It is to be understood that the term "comprises", "comprising", or any other variants thereof, is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes those elements. It also includes other elements that are not explicitly listed, or elements that are inherent to such a process, method, article, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

The serial numbers of the embodiments of the present invention are merely for the description, and do not represent the advantages and disadvantages of the embodiments. Through the description of the above embodiments, those skilled in the art can clearly understand the above embodiments. The method can be implemented by means of software plus the necessary general hardware platform, of course, it can also be through hardware, but in many cases the former is a better implementation. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

The above is a preferred embodiment of the present invention, and it should be noted that those skilled in the art can also make several improvements and retouchings without departing from the principles of the present invention. It should be considered as the scope of protection of the present invention.

Industrial applicability

Claims

A method for adaptively scheduling multiple sets of operators to subscribe to a network, comprising the steps of:

Obtain terminal device information;

Determining, according to the terminal device information, an abnormal influence degree of each operator subscription;

Automatically selecting an execution object that meets the execution object standard from the respective operator subscriptions according to the degree of abnormality influence;

Automatically scheduling the execution object to perform an execution action corresponding to the degree of abnormal influence in the preset adjustment policy.
The method according to claim 1, wherein the terminal device information comprises a radio frequency capability of the terminal device, a used scenario, and a network environment of the resident network;

The degree of abnormal impact of each operator subscription is measured by the subscription coefficient C Sub subscribed by each operator;

The determining the degree of abnormal impact of each operator subscription includes:

Quantifying the radio frequency capability of the terminal device, the used scenario, and the network environment of the resident network, respectively obtaining the capability dimension parameter P CD , the scenario dimension parameter P SD , and the network dimension parameter P ND corresponding to the network; the C Sub said P CD, P SD and P ND function, by the P CD, P SD value calculating P ND and the obtained values of the C Sub.
The method according to claim 2, wherein the relevant factors of the radio frequency capability comprise a radio frequency scheme for the terminal device and a communication protocol scheme to which the operator subscribes to the network parameter, respectively assigning weighting coefficients of the two correlation factors, and the product of the two weighting coefficients is The value of the P CD ;

The relevant factors of the used scenario include a time period setting and a moving speed of the terminal device, respectively assigned two correlation factor weighting coefficients, and a product of the two weighting coefficients is a value of the P SD ;

The relevant factors of the network environment include the signal cell number of the terminal device and the current resident base station bad history data, respectively assigned two correlation factor weighting coefficients, and the product of the two weighting coefficients is the value of the P ND .
The method of claim 3, wherein the radio frequency scheme comprises an operator subscribing to a shared radio resource and using an independent radio resource;

The communication protocol scheme includes using a hybrid protocol stack and a single protocol stack;

The time period setting includes a non-overlapping time zone and a non-heavy time zone;

The number of signal cells is a quantized representation of a signal strength and a signal to noise ratio parameter including a network in which the terminal device is located;

The moving speed is a speed at which the carrier where the terminal device is located moves;

The current camping base station failure history data is the number of times the terminal device has an abnormality on the base station.
The method according to claim 3, wherein the value of said C Sub is taken as the square root of the product of said P CD , P SD and P ND .
The method of claim 5 wherein the weighting coefficient value assigned by the same correlation factor is positively correlated with the degree of enhancement of the correlation factor to the abnormality of the operator subscription;

The execution object criterion is to select an operator with the largest C Sub value to subscribe to the execution object.
The method according to any one of claims 2 to 6, wherein the C Sub value subscribed by each of the operators is calculated to have a refresh rate of 1 time per second.
The method according to any one of claims 2 to 6, wherein the preset adjustment policy includes the execution actions respectively corresponding to different interval values of the operator subscription coefficient C Sub .
The method according to any one of claims 1 to 6, wherein the performing action comprises adjusting a listening time slot of a network parameter subscribed by an operator, finding a network plan, and turning on/off the operator subscription.
A terminal device for adaptively scheduling multiple sets of operators to subscribe to a network, comprising a radio frequency module (1), an operator subscription module (2), and a database (3), and the operator subscription module (2) The system includes a plurality of sets of carrier subscriptions, and further includes a core scheduling module (4), wherein the core scheduling module (4) is configured to acquire terminal device information, including acquiring radio frequency capability of the radio frequency module (1), and a calculation center. Describe a network environment in which the network is resident in the operator subscription module (2), and a scenario matrix for loading the used scenario from the database (3);

The core scheduling module (4) presets an execution object standard and a preset adjustment policy, and is configured to automatically perform the following tasks: determining, according to the obtained terminal device information, an abnormal influence degree of each operator subscription, according to the The abnormality influence degree is selected from the operator subscriptions, and the execution object corresponding to the execution target criterion is selected, and the execution instruction is scheduled to execute the execution action corresponding to the abnormal influence degree in the preset adjustment policy.
The terminal device according to claim 10, wherein:

The core scheduling module (4) includes a core algorithm sub-module (41);

The core algorithm sub-module (41) is configured to quantize the radio frequency capability, the scene matrix, and the network environment, and calculate a capability dimension parameter P CD , a scene dimension parameter P SD , and a network dimension parameter P ND corresponding to the network, respectively. ;

The core algorithm sub-module (41) is further configured to calculate a subscription coefficient C Sub according to the obtained terminal device information, where the subscription coefficient C Sub measures an abnormal influence degree of each operator subscription, which is the P CD and the P SD And the function of P ND .
The terminal device according to claim 11, wherein:

The core algorithm sub-module (41) is configured to calculate a product of a weighting coefficient between a radio frequency scheme of the terminal device and a communication protocol scheme to which the operator subscribes to the network parameter, to obtain a value of the P CD ;

The core algorithm sub-module (41) is configured to calculate a product of a weighting coefficient of a time period setting and a moving speed of the terminal device, to obtain a value of the P SD ;

The core algorithm sub-module (41) is configured to calculate a product of a signal weight of the terminal device and a weighting coefficient of the current resident base station bad history data to obtain a value of the P ND .
The terminal device according to claim 11, wherein said core algorithm sub-module (41) takes the value of C Sub as the square root of the product of said P CD , P SD and P ND .
The terminal device according to claim 13, wherein said core scheduling module (4) selects an operator having a maximum C Sub value to subscribe to said execution object.
The terminal device according to any one of claims 11 to 14, wherein the core algorithm sub-module (41) calculates the frequency of the C Sub value subscribed by each of the operators to be once per second.
The terminal device according to any one of claims 11 to 14, wherein the preset adjustment policy includes the execution actions respectively corresponding to different interval values of the operator subscription coefficient C Sub .
The terminal device according to any one of claims 11 to 14, wherein the performing action comprises adjusting a listening time slot of a network parameter subscribed by an operator, finding a network plan, and turning on/off the operator subscription.
A computer storage medium having stored therein computer executable instructions for performing the method of adaptively scheduling a plurality of sets of operator subscription networks according to any one of claims 1 to 9.