CN108174391B - User service perception optimization method and system and service platform - Google Patents
User service perception optimization method and system and service platform Download PDFInfo
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- CN108174391B CN108174391B CN201611112092.8A CN201611112092A CN108174391B CN 108174391 B CN108174391 B CN 108174391B CN 201611112092 A CN201611112092 A CN 201611112092A CN 108174391 B CN108174391 B CN 108174391B
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Abstract
The invention discloses a user service perception optimization method, a user service perception optimization system and a service platform. The method comprises the following steps: receiving user terminal information and service application information reported by a user terminal; receiving wireless network information reported by a wireless network; performing service prediction according to the user terminal information, the service application information and the wireless network information; and carrying out user service perception optimization according to the service prediction result, the service application information and the wireless network information. The invention provides seamless user perception experience in a mobile network environment by combining service prediction and wireless network information, thereby effectively optimizing user service experience.
Description
Technical Field
The invention relates to the field of mobile communication, in particular to a user service perception optimization method, a user service perception optimization system and a service platform.
Background
The traditional mobile user quality perception optimization method mainly focuses on optimization in a wireless communication network, finds a weak area or a blind area covered by the wireless network through drive test or user complaint, and improves through network optimization. Or focusing on user experience optimization of a service application layer, and rarely optimizing the wireless network information and the service application layer in a combined manner.
The actual user service experience is closely related to many factors, such as wireless network quality, wireless network load, service application algorithm logic, etc.
Disclosure of Invention
In view of the above technical problems, the present invention provides a method, a system, and a service platform for optimizing user service awareness, which combine service prediction with wireless network information to provide seamless user awareness experience in a mobile network environment.
According to an aspect of the present invention, there is provided a user service awareness optimization method, including:
receiving user terminal information and service application information reported by a user terminal;
receiving wireless network information reported by a wireless network;
performing service prediction according to the user terminal information, the service application information and the wireless network information;
and carrying out user service perception optimization according to the service prediction result, the service application information and the wireless network information.
In one embodiment of the invention, the method further comprises:
and returning the optimization result to the wireless network and the user terminal for processing.
In one embodiment of the invention, the traffic prediction comprises mobility prediction and/or network load prediction.
In an embodiment of the present invention, the predicting mobility according to the user terminal information, the service application information, and the wireless network information includes:
and comprehensively processing the user terminal information, the service application information and the wireless network information, and predicting the movement track of the user terminal.
In an embodiment of the present invention, the predicting the network load according to the user terminal information, the service application information, and the wireless network information includes:
and comprehensively processing the wireless network load information and the user terminal service behavior characteristics, and predicting the network load condition.
In one embodiment of the invention, the user terminal information comprises terminal position information and moving speed; the service application information comprises terminal service use behavior habits and terminal service behavior characteristics; the wireless network information comprises wireless network quality information, wireless network load information and wireless network positioning information.
In one embodiment of the invention, if the user terminal uses the navigation system during the moving process, the navigation system is used for the user terminal
The predicting mobility according to the user terminal information, the service application information and the wireless network information comprises: predicting the moving track of the user terminal according to the GPS position information and the start and stop points of the navigation service;
the performing of the user service perception optimization according to the service prediction result, the service application information and the wireless network information comprises:
according to the user position information, the wireless network quality and the user moving track information, before the user terminal is informed to enter a wireless signal weak coverage area, the wireless network is informed in advance to improve the user scheduling priority, and data required by subsequent navigation application is cached in advance;
and/or the presence of a gas in the gas,
when the user terminal is predicted to enter a tunnel or other weak or blind area of a GPS signal, the terminal position track is positioned by the aid of wireless network information, and the navigation application is guaranteed to run normally by integrating the user terminal position prediction information and the user terminal movement track prediction information.
In an embodiment of the present invention, if the user terminal reports the terminal information every day in a predetermined time period, the performing the user service awareness optimization according to the service prediction result, the service application information, and the wireless network information includes:
judging whether the wireless network load of the area is greater than a preset value according to the network load prediction judgment result;
if the wireless network load of the area is larger than the preset value, the user terminal is informed to change the preset time period of the reported terminal information.
According to another aspect of the present invention, a service platform is provided, which includes a terminal information receiving module, a network information receiving module, a prediction module, and a perception optimization module, wherein:
the terminal information receiving module is used for receiving the user terminal information and the service application information reported by the user terminal;
the network information receiving module is used for receiving wireless network information reported by a wireless network;
the prediction module is used for predicting the service according to the user terminal information, the service application information and the wireless network information;
and the perception optimization module is used for carrying out user service perception optimization according to the service prediction result, the service application information and the wireless network information.
In an embodiment of the present invention, the service platform further includes an optimization result feedback module, where:
and the optimization result feedback module is used for returning the optimization result to the wireless network and the user terminal for processing.
In one embodiment of the invention, the traffic prediction comprises mobility prediction and/or network load prediction.
In one embodiment of the invention, the prediction module comprises a mobility prediction unit and/or a load prediction unit, wherein:
the mobility prediction unit is used for comprehensively processing the user terminal information, the service application information and the wireless network information and predicting the movement track of the user terminal;
and the load prediction unit is used for comprehensively processing the wireless network load information and the user terminal service behavior characteristics and predicting the network load condition.
In one embodiment of the invention, the user terminal information comprises terminal position information and moving speed; the service application information comprises terminal service use behavior habits and terminal service behavior characteristics; the wireless network information comprises wireless network quality information, wireless network load information and wireless network positioning information.
In an embodiment of the invention, the mobility prediction unit is used for predicting the moving track of the user terminal according to the GPS position information and the start and stop points of the navigation service under the condition that the user terminal uses the navigation system in the moving process;
the perception optimization module is used for informing the wireless network to improve the user scheduling priority in advance and caching data required by subsequent navigation application in advance before knowing that the user terminal enters a wireless signal weak coverage area according to user position information, wireless network quality and user moving track information; and/or, under the condition that the user terminal is predicted to enter a tunnel and other weak or blind areas of GPS signals, positioning the terminal position track by the aid of wireless network information, and integrating the user terminal position prediction information and the user terminal movement track prediction information to ensure normal operation of the navigation application.
In an embodiment of the present invention, the sensing optimization module is configured to, when the user terminal reports the terminal information every day in a predetermined time period, determine whether a wireless network load in the area is greater than a predetermined value according to a network load prediction determination result; and under the condition that the wireless network load of the area is greater than a preset value, informing the user terminal of changing the preset time period of the reported terminal information.
According to another aspect of the present invention, there is provided a user service awareness optimization system, which includes a user terminal, a wireless network, and a service platform as described in any of the above embodiments.
The invention provides seamless user perception experience in a mobile network environment by combining service prediction and wireless network information, thereby effectively optimizing user service experience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings 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 invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of an embodiment of a user service awareness optimization system according to the present invention.
Fig. 2 is a schematic diagram of a service platform according to a first embodiment of the present invention.
Fig. 3 is a schematic diagram of a service platform according to a second embodiment of the present invention.
Fig. 4 is a diagram illustrating a prediction module including a mobility prediction unit according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of a user service awareness optimization method according to a first embodiment of the present invention.
Fig. 6 is a schematic diagram of a user service awareness optimization method according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Fig. 1 is a schematic diagram of an embodiment of a user service awareness optimization system according to the present invention. As shown in fig. 1, the system includes a service platform 1, a user terminal 2 and a wireless network 3, wherein:
the user terminal 2 communicates with the service platform 1 through the service application layer interface, and the upper layer service application can acquire the terminal position information, the moving speed, the service use behavior habit and the like.
The wireless network 3 communicates with the service platform 1 through the API interface, and can report wireless network quality information, wireless network load information, wireless network positioning information and the like.
The service platform 1 has a plurality of functional modules, such as a mobility prediction unit, a load prediction unit, a perception optimization module, and a service application module, inside. The mobility prediction unit comprehensively processes information acquired from the user terminal 2 and the wireless network 3, and predicts the movement locus of the user. The load prediction unit synthesizes the wireless network 3 load and a large number of user terminal service behavior characteristics to predict the network load condition. The perception optimization module combines the movement track prediction, the network load prediction and the wireless network information to perform user service perception optimization, and returns an optimization result to the service application processing of the wireless network 3 and the user terminal 2, thereby completing closed-loop optimization.
Based on the user service perception optimization system based on the combination of the service prediction and the wireless network information, provided by the embodiment of the invention, the mobility and the network load prediction are carried out by integrating the user terminal information, the wireless network information, the service application information and the like under the mobile network environment, and the prediction result is combined with the wireless network information for joint optimization, so that seamless service experience is provided. The embodiment of the invention provides seamless user perception experience in a mobile network environment by combining the service prediction with the wireless network information, thereby effectively optimizing the user service experience.
The structure and function of the service platform 1 in the user service awareness optimization system are further described below by specific embodiments.
Fig. 2 is a schematic diagram of a service platform according to a first embodiment of the present invention. As shown in fig. 2, the service platform 1 of the embodiment of fig. 1 may include a user terminal information receiving module 11, a network information receiving module 12, a prediction module 13, and a perception optimization module 14, where:
the user terminal information receiving module 11 is configured to receive user terminal information and service application information (service layer information) reported by the user terminal 2.
In one embodiment of the present invention, the user terminal information may include user terminal location information and moving speed information. The service application information may include information such as a service usage behavior habit of the user terminal and a service behavior characteristic of the user terminal.
And the network information receiving module 12 is configured to receive the wireless network information reported by the wireless network 3.
In one embodiment of the present invention, the wireless network information may include wireless network quality information, wireless network load information, wireless network positioning information, and the like.
And the prediction module 13 is configured to perform service prediction according to the user terminal information, the service application information, and the wireless network information.
In one embodiment of the invention, the traffic prediction comprises mobility prediction and/or network load prediction.
And the perception optimization module 14 is configured to perform user service perception optimization according to the prediction result of the prediction module 13, the service application information, and the wireless network information.
Based on the service platform provided by the embodiment of the invention, the wireless network information and the service application information are jointly optimized, mobility and network load prediction is carried out aiming at the comprehensive user terminal information, the wireless network information, the service application information and the like under the mobile network environment, and the prediction result is combined with the wireless network information for joint optimization, so that seamless service experience is provided. The embodiment of the invention provides seamless user perception experience in a mobile network environment by combining the service prediction with the wireless network information, thereby effectively optimizing the user service experience.
Fig. 3 is a schematic diagram of a service platform according to a second embodiment of the present invention. Compared with the embodiment shown in fig. 2, in the embodiment shown in fig. 3, the service platform 1 may further include an optimization result feedback module 15, where:
and the optimization result feedback module 15 is used for returning the optimization result to the wireless network 3 and the user terminal 2 for processing, so that closed-loop optimization is completed.
In one embodiment of the present invention, as shown in fig. 3, the prediction module 13 may include a mobility prediction unit 131 and/or a load prediction unit 132, wherein:
and a mobility prediction unit 131, configured to perform comprehensive processing on the user terminal information, the service application information, and the wireless network information, and predict a movement trajectory of the user terminal 2.
And the load prediction unit 132 is configured to perform comprehensive processing on the wireless network load information and the service behavior characteristics of the user terminal, and predict a network load condition.
Fig. 4 is a diagram illustrating a prediction module including a mobility prediction unit according to an embodiment of the present invention. As shown in figure 4 of the drawings,
and a mobility prediction unit 131, configured to perform comprehensive processing on the user terminal location information, the service application information, and the wireless network information, and predict a movement trajectory of the user terminal 2.
And the perception optimization module 14 is configured to perform user service perception optimization according to the prediction result of the mobility prediction unit 131, the service application information, and the wireless network information.
Fig. 5 is a schematic diagram of a user service awareness optimization method according to a first embodiment of the present invention. Preferably, the embodiment can be executed by the service platform of the invention. As shown in fig. 5, the method may include:
In one embodiment of the present invention, the user terminal information may include user terminal location information and moving speed information. The service application information may include information such as a service usage behavior habit of the user terminal and a service behavior characteristic of the user terminal.
And step 52, receiving the wireless network information reported by the wireless network 3.
In one embodiment of the present invention, the wireless network information may include wireless network quality information, wireless network load information, wireless network positioning information, and the like.
And 53, performing service prediction according to the user terminal information, the service application information and the wireless network information.
In one embodiment of the invention, the traffic prediction comprises mobility prediction and/or network load prediction.
In an embodiment of the present invention, in step 53, the step of performing mobility prediction according to the user terminal information, the service application information, and the radio network information may include: and comprehensively processing the user terminal information, the service application information and the wireless network information, and predicting the movement track of the user terminal 2.
In an embodiment of the present invention, in step 53, the step of predicting the network load according to the user terminal information, the service application information, and the wireless network information includes: and comprehensively processing the wireless network load information and the user terminal service behavior characteristics, and predicting the network load condition.
And step 54, carrying out user service perception optimization according to the prediction result, the service application information and the wireless network information in the step 53.
In one embodiment of the present invention, after step 54, the method may further comprise: and returning the optimization result to the wireless network 3 and the user terminal 2 for processing.
Based on the user service perception optimization method based on the combination of the service prediction and the wireless network information, provided by the embodiment of the invention, the mobility and the network load prediction are carried out by integrating the user terminal information, the wireless network information, the service application information and the like under the mobile network environment, and the prediction result is combined with the wireless network information for joint optimization, so that seamless service experience is provided. The embodiment of the invention provides seamless user perception experience in a mobile network environment by combining the service prediction with the wireless network information, thereby effectively optimizing the user service experience.
The invention is illustrated below in two specific examples.
Specific example 1: the user terminal uses a navigation system during movement.
In the moving process, the user terminal reports the GPS information through the service application. The mobility prediction unit 131 may predict a user movement trajectory according to the GPS location information and the navigation service start and stop point.
The perception optimization module 14 integrates the user location information, the wireless network quality and the user moving track information, and when knowing that the user is about to enter the wireless signal weak coverage area, informs the network in advance to improve the user scheduling priority and caches data required by subsequent navigation application in advance, so that when the user enters the wireless signal weak coverage area or blind area, the navigation service can still be used, and the user service experience is ensured.
When the user is predicted to enter a tunnel or other weak or blind area of a GPS signal (due to the fact that coverage blind-repairing measures are taken, wireless signals are still likely to be good), the terminal position track can be positioned by the aid of wireless network information, and the perception optimization module 14 integrates user position prediction information and user movement track prediction information to guarantee normal operation of navigation application.
In an embodiment of the present invention, step 54 in the embodiment of fig. 5, that is, the step of performing user service awareness optimization according to the service prediction result, the service application information, and the wireless network information, may include:
according to the user position information, the quality of the wireless network 3 and the user moving track information, before the user terminal 2 is informed to enter a wireless signal weak coverage area, the wireless network 3 is informed in advance to improve the user scheduling priority, and data required by subsequent navigation application is cached in advance.
And/or the presence of a gas in the gas,
when the user terminal 2 is predicted to enter a weak area or a blind area of a GPS signal such as a tunnel, the position track of the user terminal 2 is positioned by the aid of wireless network information, and the position prediction information of the user terminal 2 and the movement track prediction information of the user terminal 2 are integrated.
Fig. 6 is a schematic diagram of a user service awareness optimization method according to a second embodiment of the present invention. As shown in fig. 6, for an embodiment in which a user terminal uses a navigation system during movement, the user service awareness optimization method may include:
and step 61, acquiring user terminal information, service application information and wireless network information.
And step 62, performing mobility prediction according to the user terminal information, the service application information and the wireless network information.
In one embodiment, step 62 may specifically include: and predicting the moving track of the user according to the GPS position information and the start and stop points of the navigation service.
And step 63, judging whether the quality of the current wireless signal is higher than the preset quality. If the quality of the current wireless signal is higher than the predetermined quality, go to step 64; otherwise, if the quality of the current wireless signal is not higher than the predetermined quality, step 65 is executed.
And step 66, positioning the terminal position track by the aid of wireless network information, and then executing step 67.
And 67, integrating the user terminal position prediction information and the user terminal movement track prediction information by the perception optimization module 14 to ensure the normal operation of the navigation application.
Specific example 2: and (4) a service push system.
In specific embodiment 2, if the user terminal 2 reports the user terminal information every day in a predetermined time period, step 54 in the embodiment of fig. 5, that is, the step of performing the user service awareness optimization according to the service prediction result, the service application information, and the wireless network information may include:
step 541, judging whether the load of the area wireless network 3 is larger than a preset value according to the network load prediction judgment result.
Step 542, if the load of the wireless network 3 in the area is larger than the predetermined value, the user terminal 2 is notified to change the predetermined time period for reporting the user terminal information.
In an embodiment of the present invention, the perception optimization module 14 may be configured to, when the user terminal 2 reports the user terminal information every day in a predetermined time period, determine whether the load of the wireless network 3 in the area is greater than a predetermined value according to a network load prediction determination result; and under the condition that the load of the wireless network 3 in the area is greater than the preset value, informing the user terminal 2 of changing the preset time period for reporting the user terminal information.
For example: the user of the intelligent ammeter in a certain area sets information such as electricity consumption of the ammeter, balance of the ammeter and the like reported 24:00-1:00 a day. The area has special activities such as performances, sports competitions, flash activities and the like in the morning, the wireless network load of the area gradually increases along with crowd gathering when the area is close to the morning, and after the network load prediction unit predicts the information, the intelligent meter reading application is informed, the reporting time of the intelligent electric meter user is changed, and therefore the service experience is prevented from being influenced by network congestion.
The functional units of the user terminal information receiving module 11, the network information receiving module 12, the prediction module 13, the perception optimization module 14, the optimization result feedback module 15, the service application module, and the like, which are described above, can be implemented as a general processor, a Programmable Logic Controller (PLC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or any suitable combination thereof, for performing the functions described in this application.
Thus far, the present invention has been described in detail. Some details well known in the art have not been described in order to avoid obscuring the concepts of the present invention. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The description of the present invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the invention 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 invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (11)
1. A method for optimizing user service awareness, comprising:
receiving user terminal information and service application information reported by a user terminal;
receiving wireless network information reported by a wireless network;
performing service prediction according to user terminal information, service application information and wireless network information, wherein the service prediction comprises network load prediction;
carrying out user service perception optimization according to the service prediction result, the service application information and the wireless network information;
the network load prediction according to the user terminal information, the service application information and the wireless network information comprises the following steps:
comprehensively processing wireless network load information and user terminal service behavior characteristics, and predicting network load conditions;
if the user terminal reports the terminal information in a preset time period every day, the optimizing the user service perception according to the service prediction result, the service application information and the wireless network information comprises the following steps:
judging whether the wireless network load of a region is larger than a preset value according to the network load prediction judgment result;
if the wireless network load of the area is larger than the preset value, the user terminal is informed to change the preset time period of the reported terminal information.
2. The method of claim 1, further comprising:
and returning the optimization result to the wireless network and the user terminal for processing.
3. The method according to claim 1 or 2, wherein the traffic prediction comprises a mobility prediction;
the predicting mobility according to the user terminal information, the service application information and the wireless network information comprises:
and comprehensively processing the user terminal information, the service application information and the wireless network information, and predicting the movement track of the user terminal.
4. The method according to claim 1 or 2,
the user terminal information comprises terminal position information and moving speed;
the service application information comprises terminal service use behavior habits and terminal service behavior characteristics;
the wireless network information comprises wireless network quality information, wireless network load information and wireless network positioning information.
5. The method of claim 3, wherein if the user terminal uses the navigation system during the moving process, the method further comprises the step of determining whether the user terminal uses the navigation system during the moving process
The predicting mobility according to the user terminal information, the service application information and the wireless network information comprises: predicting the moving track of the user terminal according to the GPS position information and the start and stop points of the navigation service;
the performing of the user service perception optimization according to the service prediction result, the service application information and the wireless network information comprises:
according to the user position information, the wireless network quality and the user moving track information, before the user terminal is informed to enter a wireless signal weak coverage area, the wireless network is informed in advance to improve the user scheduling priority, and data required by subsequent navigation application is cached in advance;
and/or the presence of a gas in the gas,
when the user terminal is predicted to enter a tunnel or other weak or blind area of a GPS signal, the terminal position track is positioned by the aid of wireless network information, and the navigation application is guaranteed to run normally by integrating the user terminal position prediction information and the user terminal movement track prediction information.
6. A service platform is characterized by comprising a terminal information receiving module, a network information receiving module, a prediction module and a perception optimization module, wherein:
the terminal information receiving module is used for receiving the user terminal information and the service application information reported by the user terminal;
the network information receiving module is used for receiving wireless network information reported by a wireless network;
the prediction module is used for predicting the service according to the user terminal information, the service application information and the wireless network information, wherein the service prediction comprises network load prediction;
the perception optimization module is used for carrying out user service perception optimization according to the service prediction result, the service application information and the wireless network information;
wherein the prediction module comprises a load prediction unit, wherein:
the load prediction unit is used for comprehensively processing the wireless network load information and the user terminal service behavior characteristics and predicting the network load condition;
the perception optimization module is used for judging whether the wireless network load of a region is larger than a preset value according to the network load prediction judgment result under the condition that the user terminal reports the terminal information in a preset time period every day; and under the condition that the wireless network load of the area is greater than a preset value, informing the user terminal of changing the preset time period for reporting the terminal information.
7. The service platform of claim 6, further comprising an optimization result feedback module, wherein:
and the optimization result feedback module is used for returning the optimization result to the wireless network and the user terminal for processing.
8. The service platform of claim 6 or 7, wherein the service prediction comprises a mobility prediction;
the prediction module comprises a mobility prediction unit, wherein:
and the mobility prediction unit is used for comprehensively processing the user terminal information, the service application information and the wireless network information and predicting the movement track of the user terminal.
9. Service platform according to claim 6 or 7,
the user terminal information comprises terminal position information and moving speed;
the service application information comprises terminal service use behavior habits and terminal service behavior characteristics;
the wireless network information comprises wireless network quality information, wireless network load information and wireless network positioning information.
10. The service platform of claim 8,
the mobile prediction unit is used for predicting the moving track of the user terminal according to the GPS position information and the start and stop points of the navigation service under the condition that the user terminal uses the navigation system in the moving process;
the perception optimization module is used for informing the wireless network to improve the user scheduling priority in advance and caching data required by subsequent navigation application in advance before knowing that the user terminal enters a wireless signal weak coverage area according to user position information, wireless network quality and user moving track information; and/or, under the condition that the user terminal is predicted to enter a tunnel and other weak or blind areas of GPS signals, positioning the terminal position track by the aid of wireless network information, and integrating the user terminal position prediction information and the user terminal movement track prediction information to ensure normal operation of the navigation application.
11. A user traffic awareness optimization system comprising a user terminal, a wireless network and a service platform according to any of claims 6-10.
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