WO2019114350A1 - 一种无线资源的调整方法及相关设备 - Google Patents

一种无线资源的调整方法及相关设备 Download PDF

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Publication number
WO2019114350A1
WO2019114350A1 PCT/CN2018/105870 CN2018105870W WO2019114350A1 WO 2019114350 A1 WO2019114350 A1 WO 2019114350A1 CN 2018105870 W CN2018105870 W CN 2018105870W WO 2019114350 A1 WO2019114350 A1 WO 2019114350A1
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Prior art keywords
path
travel path
optimization
user
travel
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PCT/CN2018/105870
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English (en)
French (fr)
Inventor
李欢
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华为技术有限公司
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Priority to EP18889148.5A priority Critical patent/EP3703412A4/en
Publication of WO2019114350A1 publication Critical patent/WO2019114350A1/zh
Priority to US16/891,199 priority patent/US11483729B2/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0231—Traffic management, e.g. flow control or congestion control based on communication conditions
    • H04W28/0236—Traffic management, e.g. flow control or congestion control based on communication conditions radio quality, e.g. interference, losses or delay
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H04W28/26—Resource reservation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G01C21/3446—Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags, using precalculated routes
    • G06Q50/40—
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0268—Traffic management, e.g. flow control or congestion control using specific QoS parameters for wireless networks, e.g. QoS class identifier [QCI] or guaranteed bit rate [GBR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/20—Control channels or signalling for resource management
    • H04W72/29—Control channels or signalling for resource management between an access point and the access point controlling device

Definitions

  • the present application relates to the field of communications, and in particular, to a method for adjusting a radio resource and related devices.
  • APP mobile application
  • the application of mobile application provides great convenience for users' life.
  • the network special car becomes a new form of public travel.
  • users of network buses are generally high-quality network users with high spending power, especially some VIP users, how to provide these users.
  • Better wireless network services have become an important issue.
  • the currently used method is the Key Performance Indicator (KPI) method.
  • KPI Key Performance Indicator
  • the KPI method is to perform statistics and analysis on the data drop rate and handover success rate of the network after running for a period of time.
  • the result is associated with the base station and the cell location, and the area where the indicator is not good is specifically adjusted. For example, when the user A is in the first location of the first time period, the network quality is not good, and then the network quality of the first time period is analyzed, and the network quality of the cell location is optimized according to the analyzed result, that is, at the first
  • the quality of the wireless network has been tuned for the next time period (second time period) of the time period, but the user A may not be in the location of the cell during the second time period. For user A, the quality of the network service experienced may be poor. .
  • the current method of adjusting network quality is to optimize the network quality afterwards.
  • the current wireless communication quality is not fully guaranteed.
  • a method for adjusting a radio resource and related equipment are provided to ensure that a wireless communication experience of a user during a ride or a move is fully guaranteed.
  • the embodiment of the present application provides a method for adjusting a radio resource, where the method is applied to a communication system, where the communication system includes a mobile terminal, a path planning device, an optimization processing device, a network element management device, and a network element.
  • the optimization processing device receives the network quality optimization request sent by the path planning device, where the network quality optimization request carries the travel path, and the estimated time corresponding to the target position of the mobile terminal on the travel path; and the travel path and the base station radiation signal
  • the coverage area is matched, and the set of base stations to which the signal covering the travel path belongs is determined.
  • the base station set includes at least one target base station.
  • an optimization policy is generated, and the optimization strategy includes: collecting the base station according to the corresponding predicted time.
  • the target base station performs configuration information of the radio resource configuration; and sends an adjustment command to the network element management device according to the optimization policy, so that the network element management device instructs the target base station in the base station set to adjust the allocation of the radio resource at the estimated time according to the adjustment command. .
  • the optimization processing device receives the network quality optimization request sent by the path planning device, where the network quality optimization request carries the travel path and the estimated time corresponding to the target position of the mobile terminal on the travel path; Predetermining the target location and expected time for network optimization, matching the travel path with the coverage area of the base station, determining the set of base stations to which the signal covering the travel path belongs, and generating an optimization strategy according to the target base station in the set of base stations and the expected time.
  • the optimization strategy includes: configuring configuration information of the radio resource of the target base station according to the estimated time of arrival of the vehicle; and the optimization processing device sends an adjustment command to the network element management device according to the configuration information of the target base station and the estimated time in the optimization policy.
  • the meta management device instructs the target base station in the set of base stations to adjust the allocation of the radio resources at the expected time according to the adjustment command.
  • the dynamic optimization configuration of the wireless resources on the path that the user actually travels is ensured, so that the wireless communication experience of the user during the ride or the movement is fully guaranteed.
  • the generating an optimization policy according to the set of base stations and the estimated time may specifically include: determining a target base station that matches each target location; and determining, according to the estimated time and the target position that arrives at the expected time, for each target location.
  • the matching target base station performs parameter configuration to obtain configuration information; and generates an optimization policy according to the estimated time and the configuration information, where the configuration information includes, but is not limited to, a beamwidth of the base station antenna, a tilt angle of the antenna, and an antenna direction, etc.
  • the information adjusts the coverage of the cell such that when the user arrives at the area at the expected time, the communication quality of the mobile terminal can be improved.
  • the optimization strategy includes a correspondence between the travel path and the corresponding configuration information
  • the method further includes: receiving a travel path cancellation request sent by the path planning device, where the travel path cancellation request includes information of the target travel path;
  • the target configuration information for the target travel path is deleted from the optimization policy according to the correspondence.
  • the optimization policy is dynamically changed. If the user temporarily cancels the travel plan, the mobile terminal sends a path cancellation request to the path planning device, where the path cancellation request includes information of the target travel path, and the optimization processing device is configured according to The correspondence removes the target configuration information for the target travel path from the optimization strategy to save wireless resources.
  • the method may further include: the optimization processing device determines the optimization result according to the optimization strategy, and the optimization result carries the information of the travel path, and the optimization result is used to indicate It is estimated that the signal quality of the travel path is covered at the moment; the optimization result is fed back to the path planning device, so that the path planning device determines the user information corresponding to the information of the travel path according to the information of the travel path, and sends the signal quality to the mobile terminal corresponding to the user information.
  • the network quality is directly presented to the user, thereby enabling the user to have more participation.
  • an embodiment of the present invention provides a computer storage medium for storing computer software instructions for optimizing the processing device, including a program designed to perform the above aspects.
  • an embodiment of the present invention provides an optimization processing device, which has the functions performed by the actual optimization processing device in the foregoing method.
  • This function can be implemented in hardware or in hardware by executing the corresponding software.
  • the hardware or software includes one or more modules corresponding to the functions described above.
  • the structure of the optimization processing device includes a memory, a network interface, and a processor.
  • the memory is used to store computer executable program code and is coupled to a network interface.
  • the program code includes instructions that, when executed by the processor, cause the optimization processing device to perform the information or instructions involved in the above method.
  • the embodiment of the present application provides a method for adjusting a radio resource, where the path planning device acquires a travel path and an estimated time corresponding to the target location of the mobile terminal on the travel path; the path planning device sends the information to the optimization processing device.
  • the network quality optimization request includes a travel path and an estimated time, so that the optimization processing device matches the travel path with the coverage of the base station according to the travel path, and determines a set of base stations to which the signal covering the travel path belongs; And generating an optimization strategy, where the optimization strategy includes: configuring configuration information of the radio resources of the base station set according to the corresponding estimated time; and sending an adjustment command to the network element management device according to the optimization policy, so that the network element management device indicates the base station according to the adjustment command.
  • the set adjusts the allocation of wireless resources at the expected time.
  • the dynamic optimal configuration of the wireless resources on the path actually traveled by the user is ensured, so that the wireless communication experience of the user during the ride or the mobile is fully guaranteed.
  • the obtaining the travel path and the estimated time corresponding to the target location on the travel path of the mobile terminal may include: receiving a path planning request sent by the mobile terminal, where the route planning request includes user information, a starting location The destination point and the departure time; in this implementation manner, the purpose of the mobile terminal sending the vehicle request to the path planning device is that the path planning device needs to plan a better travel path for the user, and the path planning device is based on the starting location and The destination location plans a travel route corresponding to the user information; and determines an estimated time corresponding to the target location of the mobile terminal through the travel path according to the travel route and the departure time.
  • the method for obtaining the travel path and the estimated time corresponding to the target location on the travel path of the mobile terminal includes: receiving the scheduled travel path information sent by the mobile terminal, and the reserved travel path information includes user information.
  • the path planning device determines an estimated time corresponding to the target location of the mobile terminal through the travel path according to the travel path and the departure time.
  • the path planning device establishes a correspondence between the travel path and the user information; receives an optimization result of the optimized processing device, and the optimization result is used to indicate the signal quality of the travel path at the expected time; according to the user information and travel
  • the path correspondence feeds back the signal quality on the travel path to the mobile terminal corresponding to the user information.
  • the path planning device sends the signal quality to the mobile terminal corresponding to the user information to inform the user of the quality of the current wireless network, and directly presents the network quality to the user, thereby enabling the user to have more participation.
  • the user information includes a user priority identifier, where the travel path includes the first path and the at least one second path, and when the user priority identifier indicates the first priority, determining the first corresponding to the user information.
  • a path where the first path is a path that the user predicts to actually travel; generating at least one second path, where the second path is an interference path of the first path; establishing association information between the user information and the at least one second path and the first path to prevent the path
  • the planning device is attacked, revealing the actual travel path of the user, thereby ensuring the user's travel safety.
  • the user information includes a user level identifier
  • the user level identifier is used to indicate the priority of the user
  • the travel path is the travel path corresponding to the target user
  • the path planning device can determine the target user according to the user level identifier.
  • the user is a user whose priority is greater than or equal to the threshold. If the number of users of the network car is very large within a certain period of time, there is no guarantee that all users will be provided with dynamic optimized wireless network quality services, and only some users can provide wireless network quality optimization services.
  • the path planning device can determine the user with higher priority to provide network quality optimization service according to the user level identifier in the user information, and improve the experience of the user with higher priority.
  • an embodiment of the present invention provides a computer storage medium for storing computer software instructions used by the path planning device, including a program designed to perform the above aspects.
  • an embodiment of the present invention provides a path planning device, which has the functions performed by the actual path planning device in the foregoing method.
  • This function can be implemented in hardware or in hardware by executing the corresponding software.
  • the hardware or software includes one or more modules corresponding to the functions described above.
  • the structure of the path planning device includes a memory, a network interface, and a processor.
  • the memory is used to store computer executable program code and is coupled to a network interface.
  • the program code includes instructions that, when executed by the processor, cause the path planning device to perform the information or instructions involved in the above method.
  • FIG. 1 is a network architecture diagram of a communication system according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart of steps of a method for adjusting a radio resource according to an embodiment of the present disclosure
  • FIG. 3 is a schematic structural flowchart of a method for adjusting a radio resource according to an embodiment of the present disclosure
  • FIG. 4 is a schematic diagram of a scenario provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of a scenario provided by an embodiment of the present application.
  • FIG. 6 is a schematic diagram of a scenario provided by an embodiment of the present application.
  • FIG. 7 is a schematic structural diagram of an embodiment of an optimization processing device according to an embodiment of the present disclosure.
  • FIG. 8 is a schematic structural diagram of another embodiment of an optimization processing device according to an embodiment of the present disclosure.
  • FIG. 9 is a schematic structural diagram of another embodiment of an optimization processing device according to an embodiment of the present disclosure.
  • FIG. 10 is a schematic structural diagram of another embodiment of an optimization processing device according to an embodiment of the present disclosure.
  • FIG. 11 is a schematic structural diagram of an embodiment of a path planning device according to an embodiment of the present disclosure.
  • FIG. 12 is a schematic structural diagram of another embodiment of a path planning device according to an embodiment of the present disclosure.
  • FIG. 13 is a schematic structural diagram of another embodiment of a path planning device according to an embodiment of the present disclosure.
  • FIG. 14 is a schematic structural diagram of another embodiment of a path planning device according to an embodiment of the present disclosure.
  • the embodiment of the present application provides a method for adjusting a radio resource and a related device, which are used for dynamically optimizing configuration of a radio resource, so that a wireless communication experience of a user during a ride or a move is fully guaranteed.
  • the network car provides great convenience for the user's travel.
  • the optimal path is the expected path for the user to choose the actual travel. How to ensure a good communication experience on this optimal path becomes an urgent problem to be solved.
  • the embodiment of the present application provides a network quality optimization method for a travel path of a predictable mobile user, which ensures dynamic optimization configuration of wireless resources on a path that the user actually travels, so that these users are in the process of riding or moving. The wireless communication experience is fully guaranteed.
  • FIG. 1 is a network architecture diagram of the communication system, where the communication system includes a mobile system.
  • the mobile terminal 101 includes, but is not limited to, a mobile phone, a notebook computer, a personal digital assistant (PDA), etc., and the mobile terminal 101 is configured to send a path planning request to the path planning device 102, where the path planning request includes a departure location.
  • the route planning request is used to instruct the route planning device 102 to plan a travel route for the user according to the departure location, the destination point, and the departure time.
  • the mobile terminal 102 may also send a scheduled travel route to the route planning device 102 and reserve a departure time.
  • the path planning device 102 may be a third-party path provider, such as a device provided by the network car management platform, for providing vehicle information to the user, and planning a travel path for the user, providing a travel path that the user will pass and passing the travel path The estimated total duration; or the path can be split into multiple path segments, providing an estimated duration through each path segment, that is, an estimated time of providing a segmentation point through the path.
  • the path planning device 102 transmits the generated path information and time information corresponding to the path information to the optimization processing device.
  • the optimization processing device 103 can provide an operation support system (OSS), and can provide a corresponding optimization strategy according to the path information and the time information corresponding to the path information, and
  • OSS operation support system
  • the optimization policy is decomposed into an adjustment command of the radio resource, and the adjustment command is sent to the network element management device 104, and the adjustment command is sent according to the time period to implement dynamic adjustment and recovery of the network.
  • the network element management device 104 is responsible for optimizing the connection between the processing device 103 and the network element 105.
  • a maintenance channel is established between the network element management device 104 and the base station, and the command can be sent to the network element 105 through the channel, and the optimization process is also performed.
  • the device 102 provides a command delivery channel, and receives an adjustment command sent by the optimization processing device 103.
  • Network element 105 a wireless communication device, including various types of base stations and base station controllers, etc., these devices provide network communication capabilities, including but not limited to voice and data services, and the network element 105 receives the wireless information sent by the network element management device 104.
  • the resource adjustment command adjusts the radio resources according to the adjustment command, thereby ensuring that the signal quality on the travel path of the user is superior.
  • FIG. 2 is a schematic flowchart of a method for adjusting a radio resource according to an embodiment of the present application
  • FIG. 3 is a schematic flowchart of a method for adjusting a radio resource according to an embodiment of the present application.
  • schematic diagram The method for adjusting the radio resource provided in the present application is described in detail below with reference to the embodiments.
  • the present application provides an embodiment of the method for adjusting radio resources, including:
  • Step 201 The mobile terminal sends a car request to the path planning device.
  • the vehicle request carries a departure address, a destination address, a departure time, user information, and the like.
  • the departure address may be the address input by the user, or may be the current location detected by the mobile terminal
  • the departure time may be the current time detected by the mobile terminal, or the scheduled departure time input by the user, or the estimated departure time input by the user. segment.
  • the purpose of the mobile terminal sending a car request to the path planning device is that the path planning device needs to plan a better travel path for the user.
  • the vehicle request carries information of the scheduled travel route, and a reservation time, which is a departure time, or may be a departure time period.
  • the purpose of the mobile terminal transmitting a car request to the path planning device is to reserve an already determined travel path.
  • the user information includes, but is not limited to, a user's phone number, a user's name (nickname or real name), and a user level identifier, which is used to identify the user's priority.
  • the user is a normal user, a VIP user, or a SVIP user.
  • Etc. The identifier "1" indicates the first level, which is used to identify the SVIP user.
  • the identifier "2" identifies the second level, which is used to identify the VIP user.
  • the identifier "3" indicates the third level, which is used to identify the ordinary user.
  • Step 202 The path planning device receives the vehicle request sent by the mobile terminal, arranges the vehicle for the user, and generates a travel path.
  • the vehicle related information (the license plate number and the driver's telephone number) of the vehicle is acquired according to the departure address for the user to match the vehicle that is closer to the departure address.
  • the route planning device can plan a plurality of travel paths. Further, select an optimal travel path from the plurality of travel paths.
  • the optimal travel path is: the path with the shortest travel time, the shortest travel path, the smooth travel path, and the like.
  • the departure address is A
  • the destination address is B
  • the planned multiple travel paths are (ACDB), (AEFB), (AGHB).
  • the route planning device can travel from these 3 routes according to the road conditions of each travel route. Select an optimal travel path in the path, including but not limited to the expected congestion situation and road surface status (such as whether to repair the road). If the user's departure time is 8:00 in the morning, the distance through these three travel routes is about 20 kilometers, but according to historical data at 8:00-8:30, the travel route (ACDB), the road section ( DB) is very congested, and the road section (EF) in the travel path (AEFB) is in the construction of the subway, and the traffic path (AGHB) is well congested and the road surface is in good condition.
  • the travel path is determined to be the optimal travel path. It should be noted that, in this example, a specific method for selecting an optimal travel path from a plurality of travel paths is merely an example for convenience of description, and does not cause a limited description of the present application.
  • Step 203 The path planning device feeds back information about the vehicle related information and the travel path to the mobile terminal.
  • the route planning device transmits the license plate number of the matching vehicle and the driver's telephone number and the travel route information to the mobile terminal, and transmits the user information (such as the user's telephone number) to the vehicle terminal of the vehicle.
  • steps 201-203 are only described by the interaction between a mobile terminal and the path planning device.
  • multiple mobile terminals may send a path planning request to the path planning device.
  • Each path planning request includes the user information, and the path planning device distinguishes the path planning request sent by the mobile terminal of the different user according to the user information.
  • the path planning device processes steps as shown in step 201- Step 203.
  • Step 204 The path planning device sends a network quality optimization request to the optimization processing device, where the network quality optimization request carries the information of the travel path and the time information corresponding to the information of the travel path, and the time information includes the target of the mobile terminal through the travel path.
  • the estimated time period corresponding to the location or the expected time period between the two expected times For example, the estimated time through the first target location is 10:25, or the estimated time through the first target location is 10:25 to 10:28.
  • the path planning device identifies an operator (such as China Unicom, mobile, telecommunications, etc.) to which the telephone number in the user information belongs, for example, sends a network quality optimization request to the optimized processing device of the target operator (such as China Unicom), and the network quality optimization is performed.
  • the request is used to request optimization of the network quality that covers the travel path.
  • the path planning device can determine the priority of the user according to the user level identifier in the user information. If the number of users of the network car is very large within a certain time period, it is not guaranteed to provide a dynamic optimized wireless network for all users.
  • the quality service can only provide the wireless network quality optimization service for some users. Therefore, the path planning device can determine whether the user is a VIP user or a SVIP user, or a VIP user or a SVIP user, according to the user level identifier in the user information.
  • Provide network quality optimization services the specific steps can be:
  • the path planning device determines, according to the user level identifier, whether the user is a target user, and the target user is a user whose priority is greater than or equal to a threshold. For example, if the threshold is the second level, the target user includes the SVIP user and the VIP user. If the threshold is the first level, the target user is the SVIP user. For example, in this example, the target user is described by taking an SVIP user as an example.
  • the path planning device determines a travel route of the target user and an estimated time or an expected time period corresponding to the target location of the mobile terminal through the travel path.
  • the time information includes a total duration, a departure time, and an estimated arrival time through the travel path (eg, A-G-H-B).
  • FIG. 4 is a schematic diagram of a scenario in the embodiment of the present application.
  • the travel path of the target user is (AGHB), and the travel path is split into multiple path segments including a first road segment (AG), a second road segment (GH), and a third road segment (HB).
  • AGHB first road segment
  • GH second road segment
  • HB third road segment
  • the estimated time through each segment point for example, the departure time is 8:00, the estimated time through point C (the first target position) is 8:20, and the point H through (the second target position) The estimated time is 8:40, and the estimated time to reach point B (the third target position) is 9:00.
  • the travel path is split, the travel path is split into multiple road segments, and the expected time when the vehicle passes the segmentation point is predicted to achieve accurate subdivision.
  • the mobile terminal uses the estimated time corresponding to the travel path to take the estimated time of the segmentation point as an example, and does not cause a limited description of the application.
  • the travel route may be determined. A greater number of target locations are expected to be predicted by the vehicle passing these target locations.
  • the setting of the target user may be dynamic, for example, during peak hours of non-use vehicles, for example: 10:00-11:00, 14:00-17:00, 22:00
  • the threshold is the third level
  • the target users include ordinary users, VIP users, and SVIP users; if during peak hours, for example, at 9:00-10:00, 11:00-14: 00, 20:00-22:00, the threshold is the second level, where the target user includes VIP users and SVIP users; if during peak hours, for example: 7:00-9:00, 17:00 - 20:00, the threshold is the first level, and the target user is a SVIP user.
  • the network quality optimization request sent by the path planning device to the optimization processing device may include at least one travel path.
  • the network quality optimization request includes five travel paths and passes through the five travel paths.
  • the information of the five travel paths corresponds to the user information of the five SVIP users respectively.
  • the path planning device sends a network quality optimization request to the optimization processing device for each SVIP user, where the network quality optimization request includes information about a travel path corresponding to the SVIP user.
  • Step 205 The optimization processing device matches each travel path with the coverage area of the multiple base stations according to the information of the travel path in the at least one network quality optimization request, and determines a base station set to which the signal covering each travel path belongs.
  • the set contains at least one target base station.
  • the optimization processing device receives the network quality optimization request, and performs information formatting and preprocessing on the information in the network quality optimization request.
  • FIG. 4 is a schematic diagram of a scenario in the embodiment of the present application. Searching for a plurality of base stations in the vicinity of the travel path (AGHB) according to the location of the travel path (AGHB), and then matching the area covered by the plurality of base stations with the area of the travel path to determine each path with the travel path
  • the segment matching base station set includes four base stations, and the four base stations are respectively: a first base station 4051, a second base station 4052, a third base station 4053, and a fourth base station 4054, and the areas of the four base station radiated signals can cover the entire travel. Path (AGHB).
  • the matching of a travel path with the coverage area of at least one base station is taken as an example.
  • the optimization processing device may simultaneously determine and travel in multiple travel paths at the same time.
  • the specific method may be understood by a process in which one of the travel paths in the step is matched with at least one base station, and details are not described herein.
  • Step 206 The optimization processing device generates an optimization strategy according to the base station to which the signal covering each travel path belongs and the estimated time corresponding to the target position on each travel path, and the optimization strategy includes: corresponding to the corresponding target according to the predicted time Configuration information of the radio resources of the base station.
  • the optimization processing device determines, according to the base station matched by the travel path (AMGLHNB), the target positions on the travel path are point A, point M, point G, point L, point H, and point N.
  • Point and point B, and the expected time of passing each target position for example, the time passing through point A is 8:00, the estimated time passing through point M is 8:10; the estimated time passing through point C is 8:20; passing L
  • the estimated time of the point is 8:30; the estimated time through point H is 8:40, the estimated time through point N is 8:50; the estimated time to point B is 9:00.
  • the mobile terminal accesses different cells at different moments, each cell has a physical cell ID (Physical Cell ID, abbreviated as PCI), and the optimized processing device has received the estimated time when the vehicle arrives at different target locations from the path planning device.
  • PCI Physical Cell ID
  • the cell that the mobile terminal accesses at different time points can be determined. For example, the 8:00 optimization processing device determines that the first cell accessing the first base station at 8:00 is received at 8:20. Enter the second cell of the second base station, and the like.
  • the optimization processing device performs parameter configuration on the target base station that matches the target location according to the expected time and the target location that arrives at the expected time, and obtains an optimization strategy.
  • the optimization strategy includes configuration information of radio resources of the corresponding target base station according to the corresponding predicted time.
  • the configuration information includes, but is not limited to, a beamwidth of the base station antenna, a tilt angle of the antenna, a direction of the antenna, and the like, and the coverage of the cell is adjusted by the configuration information, so that the mobile terminal can be improved when the user arrives at the area at an expected time. Communication quality.
  • the optimization strategy includes the following content before the time period: at 8:00-8:10, the antenna beamwidth of the first base station is 1 degree, the downtilt angle of the antenna is 6 degrees; at 8:10-8:20 The antenna of the first base station has a degree of 1 degree, and the downtilt angle of the antenna is 7 degrees; at 8:20-8:30, the degree of the antenna of the second base station is 1 degree, the downtilt angle of the antenna is 6 degrees, and the like. I will not repeat them here.
  • the optimization strategy includes target base station configuration information corresponding to multiple travel paths.
  • FIG. 5 is in the embodiment of the present application. Schematic diagram of the scene. For example, in FIG. 5, two travel paths are used. Travel path A 501 is a travel path corresponding to user A, and travel path B 502 is a travel path corresponding to user B.
  • the network quality optimization request further includes a user level identifier. If the user is in the same time period, for example, user A passes through point O to point Y at 8:10-8:20, and user B is at 8:10-8. :20 The direction of travel path A and travel path B through X point to point P is opposite.
  • the configuration of the same base station conflicts in the same time period, it can be according to the user level (VIP or SVIP) or the travel path. Levels (primary, secondary, tertiary, etc.) generate optimization strategies.
  • the direction and tilt angle of the antenna can be adjusted at 8:10-8:20 to improve the signal from the X point to the P point area on the second travel path.
  • the travel route A is a secondary road and the travel route B is a three-level highway
  • the direction and inclination angle of the antenna can be adjusted at 8:10-8:20 to increase the point O to the point Y on the travel path B. Signal coverage of the area.
  • the configuration information in the optimization policy is dynamically adjusted, and the corresponding relationship between each travel path and the corresponding configuration information included in the optimization policy, for example, the travel path A corresponds to the first configuration information (8:10-8:20, The downtilt angle of the first base station is 6 degrees), the travel path B corresponds to the second configuration information (eg, 8:10-8:20, the downtilt angle of the second base station is 7 degrees), and the like.
  • the optimization policy is dynamically changed.
  • the optimization processing device has generated an optimization policy, where the optimization policy includes configuration information for multiple travel paths, and if the user temporarily cancels the travel plan And the mobile terminal sends a path cancellation request to the path planning device, where the path cancellation request includes the information of the travel path A, and after receiving the path cancellation request, the path planning device feeds back the response to the mobile terminal, and sends a request to the optimization processing device.
  • the request carries the information of the travel path A that needs to be canceled, and the optimization processing device deletes the target configuration information for the target travel path (the travel route A) from the optimization policy according to the correspondence between each travel route and its corresponding policy.
  • the parameters included in the configuration information are only examples for convenience of description, and do not cause a limited description of the present application.
  • the configuration information may include more optimization related parameter information, such as a base station transmit power, a transmission parameter, and the like.
  • the configuration information is described by taking the tilt angle of the antenna as an example.
  • Step 207 The optimization processing device sends an adjustment command to the network element management device according to the optimization policy.
  • the optimization processing device sends an adjustment command to the network element management device according to the sequence according to the optimization policy, wherein the sequence is a sequence according to time, and the optimization policy includes multiple configuration information, for example, configuration information for the travel path A and The configuration information of the travel path B, the optimization strategy is as shown in Table 1:
  • the optimization processing device may send an adjustment command at a second expected time before the first predicted time included in the optimization policy, where the first predicted time is the earliest time point in the optimization strategy, and the second predicted time and the first
  • the interval between the estimated time and the preset time is, for example, the preset time is 5 minutes.
  • the optimization processing device can send a first adjustment command to the network element management device at 7:55.
  • the first adjustment command includes: 8 :00-8:10
  • the first base station has a downtilt angle of 6 degrees
  • the 8:10-8:20 second base station has a downtilt angle of 6 degrees.
  • the optimization processing device sends a second adjustment command to the network element management device at 8:55.
  • the second adjustment command includes: 9:00-9:20, the third base station has a downtilt angle of 7 degrees, and 9:20-9:40
  • the four base stations have a downtilt angle of 7 degrees.
  • the adjustment command includes a first instruction and a second instruction, where the first instruction is used for adjusting a radio resource of a time period that the user passes, and the second instruction is used for a radio resource after a time period that the user passes Adjustment.
  • the configuration information includes the adjustment of the radio resource for the time period that the user passes, but after the user passes a target location on the travel path, the communication focus is It should also be in the basic communication quality and capacity guarantee. Therefore, after the time period that the user passes, the target base station needs to re-adjust the radio resources, that is, reverse adjustment.
  • the second instruction is used to re-adjust the radio resource of the target base station to a state before the first instruction is sent.
  • the travel path, the configuration information, and the preset duration in this example are all examples, and do not cause a limitation on the present application.
  • Step 208 The network element management device sends an adjustment instruction to the corresponding network element according to the adjustment command, where the adjustment instruction is used to indicate that the network element adjusts the allocation of the wireless resource at the expected time.
  • the network element management device After receiving the adjustment command, the network element management device sends the adjustment command to the corresponding network element, where the adjustment command includes the first adjustment instruction and the second adjustment instruction, for example, sending the first adjustment instruction to the first base station at 8:00. Thereby the first base station adjusts the downtilt angle to 6 degrees at 8:00-8:10. Then, after 8:10 according to the second adjustment command, the downtilt angle is adjusted back to the state before the unadjustment.
  • the network element management device sends a first adjustment command to the second base station at 8:10, so that the second base station adjusts the downtilt angle of the antenna to 6 degrees at 8:10-8:20, and the second base station according to The second adjustment command, after 8:20, adjusts the downtilt angle back to the state before the adjustment.
  • the first response is sent to the network element management device, where the first response includes the information of the travel path, where the first response is used to indicate that the target base station has completed the adjustment of the radio resource, and the network element management device is configured according to the first response.
  • the second response is fed back to the optimization processing device.
  • the network element management device determines, according to the second response, that the target base station corresponding to the travel path has completed the adjustment of the radio resource.
  • the optimization processing device receives the network quality optimization request sent by the path planning device, where the network quality optimization request carries the travel path and the estimated time corresponding to the target position of the mobile terminal on the travel path; Predetermining the target location and expected time for network optimization, matching the travel path with the coverage area of the base station, determining the set of base stations to which the signal covering the travel path belongs, and generating an optimization strategy according to the target base station in the set of base stations and the expected time.
  • the optimization strategy includes: configuring configuration information of the radio resource of the target base station according to the estimated time of arrival of the vehicle; and the optimization processing device sends an adjustment command to the network element management device according to the configuration information of the target base station and the estimated time in the optimization policy.
  • the meta management device instructs the target base station in the set of base stations to adjust the allocation of the radio resources at the expected time according to the adjustment command.
  • the dynamic optimization configuration of the wireless resources on the path that the user actually travels is ensured, so that the wireless communication experience of the user during the ride or the movement is fully guaranteed.
  • the optimization processing device optimizes the processing device to determine an optimization result according to the optimization strategy, where the optimization result may be an optimization result calculated by the optimization processing device according to the optimization strategy.
  • the optimization result is used to notify the user of the network quality assurance, for example, it can be represented by X Mbps, and the optimization result may also be carried in the first response that the base station feeds back to the network element management device, and then the network element management device
  • the optimization result is also carried in the second response fed back by the optimization processing device, and the optimization processing device feeds back the communication quality (optimization result) of each travel path to the path planning device in real time, and the path planning device feeds back the optimization result to the corresponding mobile terminal.
  • the network quality is directly presented to the user, thereby enabling the user to have more participation.
  • the path planning device determines, according to the user information, that the user is an SVIP user, for example, the SVIP.
  • the user is: a government official or a leader of a country. If the SVIP user is a user who needs to strictly keep the travel route confidential, the path planning device generates at least one second path, and the travel path includes information of the first path and at least one second path. The path planning device associates at least one second path and the first path with user information.
  • the second path in this example is used to scramble the first path, where the first path is the path actually traveled by the user, and the second path is to scramble the path of the actual travel.
  • the first path and the at least one second path are associated with the user information to prevent the path planning device from being attacked, and the actual travel path of the SVIP user is leaked, thereby ensuring the security of the SVIP user.
  • the travel path included in the network quality optimization request sent by the path planning device to the optimization processing device may be the first path, that is, the actual travel path of the SVIP, because the network quality optimization request does not need to carry the User information (such as user name, phone number, etc.), so in this step, only the first path can be sent to the optimization processing device, and the scrambled second path does not need to be sent to save scheduling resources.
  • the current competition of various network vehicles is concentrated on the configuration of vehicles and the quality of drivers. There is no better network quality as a service item, and the current application of mobile terminals introduces passengers most of the time in the car.
  • the network quality of the entire journey of the user can be guaranteed to the greatest extent in the embodiment of the present application, and will become an important service item for applications such as network car and navigation.
  • the network quality can be optimized as needed to achieve accurate optimization, and the wireless network is optimized for a specific travel path. , providing better network services for travel users.
  • an optimization processing device 700 is provided in the present application.
  • One embodiment of the method includes:
  • the first receiving module 701 is configured to receive a network quality optimization request sent by the path planning device, where the network quality optimization request carries a travel path, and an estimated time corresponding to the target location on the travel path of the mobile terminal;
  • the matching module 702 is configured to match the travel path received by the first receiving module 701 with the coverage area of the base station, and determine a set of base stations to which the signal covering the travel path belongs, where the base station set includes at least one target base station;
  • the generating module 703 is configured to generate an optimization policy according to the set of base stations determined by the matching module 702 and the estimated time received by the first receiving module 701, where the optimization policy includes configuration information for configuring radio resources of the base station set according to the corresponding predicted time;
  • the first sending module 704 is configured to send an adjustment command to the network element management device according to the optimization policy, so that the network element management device instructs the target base station in the base station set to adjust the allocation of the radio resources at the expected time according to the adjustment command.
  • the generating module 703 is further specifically configured to:
  • parameter configuration is performed for the target base station that matches each target position, and configuration information is obtained;
  • an optimization processing device 800 including:
  • the optimization strategy includes a correspondence between the travel path and its corresponding configuration information, and the optimization processing device further includes a second receiving module 705, a deleting module 706;
  • the second receiving module 705 is configured to receive a travel path cancellation request sent by the path planning device, where the travel path cancellation request includes information about the target travel path;
  • the deleting module 706 is configured to delete the target configuration information for the target travel path from the optimization policy generated by the generating module 703 according to the correspondence.
  • FIG. 9 another embodiment of the optimization processing device 900 provided in the present application includes:
  • the determining module 707 is configured to determine an optimization result according to the optimization policy generated by the generating module 703, where the optimization result carries information of the travel path, and the optimization result is used to indicate that the signal quality of the travel path is covered at the expected time;
  • the second sending module 708 is configured to feed back the optimization result determined by the determining module 707 to the path planning device, so that the path planning device determines the user information corresponding to the information of the travel path according to the information of the travel path, and sends the signal quality to the user information.
  • the path planning device determines the user information corresponding to the information of the travel path according to the information of the travel path, and sends the signal quality to the user information.
  • FIGS. 7-9 the optimization processing device in FIGS. 7-9 is presented in the form of a functional module.
  • a “module” herein may refer to an application-specific integrated circuit (ASIC), circuitry, a processor and memory that executes one or more software or firmware programs, integrated logic circuitry, and/or other functions that provide the functionality described above.
  • ASIC application-specific integrated circuit
  • the optimized processing device of Figures 7-9 can take the form shown in Figure 10.
  • FIG. 10 is a schematic structural diagram of an optimization processing device 1000 according to an embodiment of the present application.
  • the optimization processing device 1000 may generate a large difference due to different configurations or performances, and may include one or more processors 1022 and 1032, one. Or more than one storage medium 1030 storing storage application 1042 or data 1044 (eg, one or one storage device in Shanghai).
  • the memory 1032 and the storage medium 1030 may be short-term storage or persistent storage.
  • the program stored on storage medium 1030 may include one or more modules (not shown), each of which may include a series of instruction operations in an optimized processing device.
  • the processor 1022 can be configured to communicate with the storage medium 1030 to perform a series of instruction operations in the storage medium 1030 on the optimization processing device 1000.
  • the optimization processing device 1000 may also include one or more power sources 1026, one or more wired or wireless network interfaces 1050, one or more input and output interfaces 1058, and/or one or more operating systems 1041.
  • the steps performed by the optimization processing device in the above embodiment may be based on the optimized processing device structure shown in FIG.
  • the processor 1022 causes the optimization processing device to perform the steps actually performed by the optimization processing device in the method embodiment corresponding to FIG. 2.
  • the embodiment of the present application provides a computer storage medium for storing the computer software instructions used by the optimization processing device, which includes a program designed for the method actually implemented by the optimization processing device in the method embodiment corresponding to FIG. 2.
  • an embodiment of a path planning device 1100 is provided by the present application, including:
  • the obtaining module 1101 is configured to acquire a travel path and an estimated time corresponding to the target location on the travel path of the mobile terminal;
  • the first sending module 1102 is configured to send a network quality optimization request to the optimization processing device, where the network quality optimization request includes the travel path and the estimated time of the acquiring module 1101, so that the optimization processing device performs the travel path and the coverage of the base station according to the travel path.
  • Matching determining a set of base stations to which the signal covering the travel path belongs; generating an optimization strategy according to the set of base stations and the estimated time, the optimization strategy includes configuring configuration information of the radio resources of the set of base stations according to the corresponding estimated time; and the network element according to the optimization strategy
  • the management device sends an adjustment command, so that the network element management device instructs the base station set to adjust the allocation of the radio resources at the expected time according to the adjustment command.
  • the obtaining module 1101 is further configured to:
  • the route planning request includes user information, a starting point, a destination point, and a departure time
  • the estimated time corresponding to the target position on the travel path of the mobile terminal is determined according to the travel route and the departure time.
  • the obtaining module 1101 is further configured to:
  • Receiving the scheduled travel route information sent by the mobile terminal, and the reserved travel route information includes user information, a travel route, and time information starting from a starting point of the travel route;
  • the estimated time corresponding to the target position on the travel path of the mobile terminal is determined according to the travel route and the departure time.
  • FIG. 12 another embodiment of the path planning device 1200 is provided by the present application, including:
  • the path planning device further includes an establishing module 1103, a second receiving module 1104 and a second sending module 1105;
  • the establishing module 1103 is configured to establish a correspondence between the travel path acquired by the obtaining module 1101 and the user information.
  • the second receiving module 1104 is configured to receive an optimization result that is optimized by the processing device, where the optimization result is used to indicate that the signal quality of the travel path is covered at an expected time;
  • the second sending module 1105 is configured to feed back the signal quality on the travel path received by the second receiving module 1104 to the mobile terminal corresponding to the user information according to the user information and the travel path correspondence established by the establishing module 1103.
  • the user information includes a user priority identifier
  • the travel path includes a first path and at least one second path.
  • the obtaining module 1101 is further configured to:
  • the user priority identifier indicates the first priority, determining a first path corresponding to the user information, where the first path is a path that the user predicts to actually travel;
  • the establishing module 1103 is further configured to establish association information between the user information and the at least one second path and the first path.
  • another embodiment of the path planning device includes:
  • the user information includes a user level identifier, the user level identifier is used to indicate the priority of the user, and the travel path is the travel path corresponding to the target user, and the path planning device further includes a determining module.
  • the determining module 1104 is configured to determine a target user according to the user level identifier acquired by the obtaining module 1101, where the target user is a user whose priority is greater than or equal to a threshold.
  • FIGS. 11-13 is presented in the form of a functional module.
  • a “module” herein may refer to an application-specific integrated circuit (ASIC), circuitry, a processor and memory that executes one or more software or firmware programs, integrated logic circuitry, and/or other functions that provide the functionality described above. Device.
  • ASIC application-specific integrated circuit
  • the path planning apparatus of Figures 11-13 can take the form shown in Figure 14.
  • FIG. 14 is a schematic structural diagram of a path planning device according to an embodiment of the present disclosure.
  • the path planning device 1400 may generate a large difference due to different configurations or performances, and may include one or more processors 1422 and a memory 1432, one or More than one storage medium 1430 storing the application 1442 or data 1444 (eg, one or one storage device in Shanghai).
  • the memory 1432 and the storage medium 1430 may be short-term storage or persistent storage.
  • the program stored on storage medium 1430 may include one or more modules (not shown), each of which may include a series of instruction operations in the path planning device.
  • the processor 1422 can be configured to communicate with the storage medium 1430 to perform a series of instruction operations in the storage medium 1430 on the path planning device 1400.
  • Path planning device 1400 may also include one or more power sources 1426, one or more wired or wireless network interfaces 1450, one or more input and output interfaces 1458, and/or one or more operating systems 1441.
  • the steps performed by the path planning device in the above embodiment may be based on the path planning device structure shown in FIG.
  • the processor 1422 causes the path planning device to perform the steps actually performed by the path planning device in the method embodiment corresponding to FIG. 2.
  • the embodiment of the present application provides a computer storage medium for storing computer software instructions used by the path planning device, which includes a program designed for a method actually implemented by the path planning device in the method embodiment corresponding to FIG. 2 .
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of cells is only a logical function division.
  • multiple units or components may be combined or integrated. Go to another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • An integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, can be stored in a computer readable storage medium.
  • the technical solution of the present application in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the various embodiments of the present application.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

Abstract

本申请实施例公开了一种无线资源的调整方法及相关设备。本申请实施例方法包括：接收路径规划设备发送的网络质量优化请求，网络质量优化请求携带出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻；将出行路径与基站覆盖区域进行匹配，确定覆盖出行路径的信号所归属的基站集合；根据基站集合、及预计时刻生成优化策略，优化策略包括按照对应的预计时刻对基站集合的无线资源进行配置的配置信息；根据优化策略向网元管理设备发送调整命令，以使网元管理设备根据调整命令指示基站集合中的目标基站在预计时刻对无线资源的分配进行调整。从而使得用户在乘车或者移动过程中的无线通信体验得到充分的保证。

Description

一种无线资源的调整方法及相关设备
本申请要求于2017年12月12日提交中国专利局、申请号为201711324294.3，发明名称为“一种无线资源的调整方法及相关设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信领域，尤其涉及一种无线资源的调整方法及相关设备。
背景技术
随着无线网络覆盖的持续增加，手机应用程序(Application，缩写：APP)的大量应用给用户的生活提供了极大的便捷，其中，尤其是网络专车成为一种大众出行的一种新形态。大多数情况下，用户在乘坐网络专车时，当乘坐的路程较长、时间较久时，均会通过移动终端上网，或处理事情，或打发时间。例如，在乘坐网络专车时，发邮件，打电话，通过微信聊天，玩游戏等等，网络专车的用户一般都是消费能力比较高的优质网络用户，尤其是一些VIP用户，如何对这些用户提供更好的无线网络服务成为一个重要问题。
当前常使用的方法是关键绩效指标(Key Performance Indicator，缩写：KPI)法，KPI的方法是：当网络运行一段时间后对网络的掉话率、切换成功率等数据进行统计和分析，将分析的结果和基站、小区位置进行关联，对于指标不好的区域进行特定的调整。例如，用户A在第一时段第一地点时网络质量不好，然后对第一时段的网络质量进行分析，根据分析后的结果对该小区位置的网络质量进行优化，也就是说，在第一时段的下一个时段(第二时段)无线网络的质量已经调优，但是，在第二时段用户A可能已经不在该小区的位置了，对于用户A来说，所体验的网络服务质量可能很差。
当前对网络质量的调整方法，是对网络质量进行事后优化，当用户在乘车或者移动过程中，当前的无线通信质量得不到充分保证。
发明内容
本申请实施例中提供了一种无线资源的调整方法及相关设备，用于保证用户在乘车或者移动过程中的无线通信体验得到充分的保证。
第一方面，本申请实施例提供了一种无线资源的调整方法，该方法应用于一种通信系统，该通信系统包括移动终端，路径规划设备，优化处理设备、网元管理设备和网元，具体的，优化处理设备接收路径规划设备发送的网络质量优化请求，其中，网络质量优化请求携带出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻；将出行路径与基站辐射信号所覆盖区域进行匹配，确定覆盖出行路径的信号所归属的基站集合，基站集合包括至少一个目标基站；然后，根据基站集合、及预计时刻生成优化策略，优化策略包括按照对应的预计时刻对基站集合中的目标基站进行无线资源配置的配置信息；根据优化策略向网元管理设备发送调整命令，以使网元管理设备根据调整命令指示基站集合中的目标基站在预计时刻对无线资源的分配进行调整。本申请实施例中，优化处理设备通过接收路径规划设备发送的网络质量优化请求，其中，网络质量优化请求携带出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻；优化处理设备预先确定出需要进行网络优化的目标位置及 预计时刻，将出行路径与基站覆盖区域进行匹配，确定覆盖出行路径的信号所归属的基站集合，根据基站集合中的目标基站、及预计时刻生成优化策略，该优化策略包括按照车辆到达该预计时刻，对目标基站的无线资源进行配置的配置信息；优化处理设备根据优化策略中对目标基站的配置信息及预计时刻向网元管理设备发送调整命令，网元管理设备根据调整命令指示基站集合中的目标基站在预计时刻对无线资源的分配进行调整。保证在用户实际出行的路径上的无线资源的动态优化配置，从而使得用户在乘车或者移动过程中的无线通信体验得到充分的保证。
在一种可能的实现方式中，根据基站集合、及预计时刻生成优化策略具体可以包括：确定与各个目标位置相匹配的目标基站；按照预计时刻及在预计时刻到达的目标位置，对于各目标位置相匹配的目标基站进行参数配置，得到配置信息；根据预计时刻与配置信息生成优化策略，该配置信息包括但不限定于基站天线的波束宽度、天线的倾斜角、天线的方向等参数，通过配置信息来调节小区的覆盖，从而使得在预计时刻该用户到达该区域时，可以提高移动终端的通信质量。
在一种可能的实现方式中，优化策略包括出行路径与其对应的配置信息的对应关系，方法还包括：接收路径规划设备发送的出行路径取消请求，出行路径取消请求中包含目标出行路径的信息；根据对应关系从优化策略中删除针对目标出行路径的目标配置信息。本申请实施例中，该优化策略是动态变化的，若用户临时取消了出行计划，则移动终端向路径规划设备发送路径取消请求，该路径取消请求中包含目标出行路径的信息，优化处理设备根据对应关系从优化策略中删除针对目标出行路径的目标配置信息，以节省无线资源。
在一种可能的实现方式中，根据基站集合、及预计时刻生成优化策略之后，方法还可以包括：优化处理设备根据优化策略确定优化结果，优化结果携带出行路径的信息，优化结果用于指示在预计时刻覆盖出行路径的信号质量；将优化结果向路径规划设备反馈，以使路径规划设备根据出行路径的信息确定与出行路径的信息对应的用户信息，将信号质量发送至用户信息对应的移动终端，以告知用户当前的无线网络的质量，将网络质量直接呈现给用户，从而使得用户有更多的参与度。
第二方面，本发明实施例提供了一种计算机存储介质，用于储存上述优化处理设备所用的计算机软件指令，其包含用于执行上述方面所设计的程序。
第三方面，本发明实施例提供了一种优化处理设备，具有实现上述方法中实际中优化处理设备所执行的功能。该功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。该硬件或软件包括一个或多个与上述功能相对应的模块。
第四方面，优化处理设备的结构中包括存储器，网络接口和处理器。其中存储器用于存储计算机可执行程序代码，并与网络接口耦合。该程序代码包括指令，当该处理器执行该指令时，该指令使该优化处理设备执行上述方法中所涉及的信息或者指令。
第五方面，本申请实施例中提供了一种无线资源的调整方法，路径规划设备获取出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻；路径规划设备向优化处理设备发送网络质量优化请求，网络质量优化请求包括出行路径及预计时刻，以使优化处理设备根据出行路径将出行路径与基站的覆盖范围进行匹配，确定覆盖出行路径的信号所归属的基站集合；根据基站集合及预计时刻生成优化策略，优化策略包括按照对应的预计时刻对基站集合的无线资源进行配置的配置信息；根据优化策略向网元管理设备发送调整命令，以使网元管理设备根据调整命令指示基站集合在预计时刻对无线资源的分配进行调整。本申请实 施例中保证在用户实际出行的路径上的无线资源的动态优化配置，从而使得用户在乘车或者移动过程中的无线通信体验得到充分的保证。
在一种可能实现的方式中，获取出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻可以包括：接收移动终端发送的路径规划请求，路线规划请求包含用户信息，起始地点、目的地点及出发时间；在此种实现方式中，移动终端向路径规划设备发送用车请求的目的是，需要路径规划设备为用户规划一条较优的出行路径，路径规划设备根据起始地点和目的地点规划与用户信息对应的出行路径；根据出行路径及出发时刻确定移动终端通过出行路径上的目标位置所对应的预计时刻。
在一种可能实现的方式中，获取出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻具体方式包括：接收移动终端发送的预约出行路径信息，预约出行路径信息包括用户信息，出行路径，及从出行路径的起始点出发的时刻信息；在此种实现方式中，移动终端向路径规划设备发送用车请求的目的是，预约一条已经确定的出行路径。路径规划设备根据出行路径及出发时刻确定移动终端通过出行路径上的目标位置所对应的预计时刻。
在一种可能实现的方式中，路径规划设备建立出行路径与用户信息的对应关系；接收优化处理设备的优化结果，优化结果用于指示在预计时刻覆盖出行路径的信号质量；根据用户信息与出行路径对应关系将出行路径上的信号质量反馈至用户信息对应的移动终端。路径规划设备将信号质量发送至用户信息对应的移动终端，以告知用户当前的无线网络的质量，将网络质量直接呈现给用户，从而使得用户有更多的参与度。
在一种可能实现的方式中，用户信息包括用户优先级标识，出行路径包括第一路径和至少一条第二路径；当用户优先级标识指示第一优先级时，确定与用户信息对应的第一路径，第一路径为用户预计实际出行的路径；生成至少一条第二路径，第二路径为第一路径的干扰路径；建立用户信息与至少一条第二路径、第一路径关联关系，以防止路径规划设备被攻击，泄露该用户的实际出行路径，从而保证用户的出行安全。
在一种可能的实现方式中，用户信息包含用户级别标识，用户级别标识用于指示用户的优先级，出行路径为目标用户对应的出行路径，路径规划设备可以根据用户级别标识确定目标用户，目标用户为优先级大于或者等于阈值的用户。若在某一个时间段内，网络约车的用户的数量非常多，则不能保证为所有的用户提供动态的优化无线网络质量的服务，则只能为一部分用户提供无线网络质量的优化服务，因此，路径规划设备可以根据用户信息中的用户级别标识来确定优先级比较高的用户提供网络质量优化服务，提高优先级比较高的用户的体验。
第六方面，本发明实施例提供了一种计算机存储介质，用于储存上述路径规划设备所用的计算机软件指令，其包含用于执行上述方面所设计的程序。
第七方面，本发明实施例提供了一种路径规划设备，具有实现上述方法中实际中路径规划设备所执行的功能。该功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。该硬件或软件包括一个或多个与上述功能相对应的模块。
第八方面，路径规划设备的结构中包括存储器，网络接口和处理器。其中存储器用于存储计算机可执行程序代码，并与网络接口耦合。该程序代码包括指令，当该处理器执行该指令时，该指令使该路径规划设备执行上述方法中所涉及的信息或者指令。
附图说明
图1为本申请实施例提供的一种通信系统的网络架构图；
图2为本申请实施例提供的一种无线资源的调整方法的步骤流程示意图；
图3为本申请实施例提供的一种无线资源的调整方法的架构流程示意图；
图4为本申请实施例提供的一种场景示意图；
图5为本申请实施例提供的一种场景示意图；
图6为本申请实施例提供的一种场景示意图；
图7为本申请实施例提供的一种优化处理设备的一个实施例的结构示意图；
图8为本申请实施例提供的一种优化处理设备的另一个实施例的结构示意图；
图9为本申请实施例提供的一种优化处理设备的另一个实施例的结构示意图；
图10为本申请实施例提供的一种优化处理设备的另一个实施例的结构示意图；
图11为本申请实施例提供的一种路径规划设备的一个实施例的结构示意图；
图12为本申请实施例提供的一种路径规划设备的另一个实施例的结构示意图；
图13为本申请实施例提供的一种路径规划设备的另一个实施例的结构示意图；
图14为本申请实施例提供的一种路径规划设备的另一个实施例的结构示意图。
具体实施方式
本申请实施例提供了一种无线资源的调整方法及相关设备，用于对无线资源的动态优化配置，从而使得用户在乘车或者移动过程中的无线通信体验得到充分的保证。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”“第四”等(如果存在)是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的实施例能够以除了在这里图示或描述的内容以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
网络专车为用户的出行提供了极大的便利，但是，随着城市堵点的增多，产生了很多实时导航找最优路径的诉求，最优路径为可预期的用户选择实际出行的路径，那么如何保证在该最优路径上良好通讯体验成为一个亟待解决的问题。本申请实施例提供了一种对可预期的移动用户的出行路径的网络质量优化方法，保证在用户实际出行的路径上的无线资源的动态优化配置，从而使得这些用户在乘车或者移动过程中的无线通信体验得到充分的保证。
本申请实施例提供了一种无线资源的调整方法，该无线资源的调整方法应用于一种通信系统，请参阅图1所示，图1为该通信系统的网络架构图，该通信系统包括移动终端101，路径规划设备102，优化处理设备103、网元管理设备104和网元105。
移动终端101：包括但不限定于手机，笔记本电脑，掌上电脑(Personal Digital Assistant，缩写：PDA)等等，移动终端101用于向路径规划设备102发送路径规划请求，路径规划请求中包含出发地点，目的地点及出发时刻等等，该路径规划请求用于指示路径规划设备102根据出发地点，目的地点及出发时刻等信息为用户规划出行路径。或者，该移动终端102也可以向路径规划设备102发送预约出行路径，及预约出发时间。
路径规划设备102：可以为第三方路径提供方，如网约车管理平台提供的设备，用于为用户提供车辆信息，并为用户规划出行路径，提供用户将要通过的出行路径及通过该出行路 径的预计总时长；或者可以将该路径拆分为多个路径段，提供通过每个路径段的预计时长，即提供通过该路径的分段点的预计时刻。该路径规划设备102将生成的路径信息及该路径信息对应的时间信息发送给优化处理设备。
优化处理设备103：可以为运营支撑系统(operations support system,缩写：OSS)，提供和路径规划设备102对接的能力，可以根据路径信息及该路径信息对应的时间信息生成对应的优化策略，并将优化策略分解为无线资源的调整命令，将调整命令发送给网元管理设备104，并按时间段将调整命令进行发送，实现网络的动态调整和恢复。
网元管理设备104：负责优化处理设备103和网元105之间的对接，网元管理设备104和基站之间建立有维护通道，通过该通道可以下发命令到网元105，也对优化处理设备102提供命令下发通道，接收优化处理设备103下发的调整命令。
网元105：无线通讯设备，包括各种类型的基站及基站控制器等，这些设备提供网络通讯的能力，包括但不限定于语音和数据业务，网元105接收网元管理设备104发送的无线资源的调整命令，根据该调整命令对无线资源进行调整，从而保证用户的出行路径上的信号质量较优。
请结合图2和图3所示，图2为本申请实施例中的一种无线资源的调整方法的步骤流程示意图，图3为本申请实施例中的一种无线资源的调整方法的架构流程示意图。下面结合实施例对本申请中提供的无线资源的调整方法进行详细描述，本申请提供了一种无线资源的调整方法的一个实施例包括：
步骤201、移动终端向路径规划设备发送用车请求。
在一种实现方式中，该用车请求携带出发地址、目的地址、出发时间、用户信息等。其中，出发地址可以可是用户输入的地址，也可以是移动终端检测的当前位置，出发时间可以为移动终端检测的当前时刻，也可以为用户输入的预约出发时刻，或者用户输入的预计出发的时间段。在此种实现方式中，移动终端向路径规划设备发送用车请求的目的是，需要路径规划设备为用户规划一条较优的出行路径。
在另一种实现方式中，该用车请求携带预约出行路径的信息，及预约时间，该预约时间为出发的时刻，或者也可以是出发的时间段。在此种实现方式中，移动终端向路径规划设备发送用车请求的目的是，预约一条已经确定的出行路径。
该用户信息包括但不限定于用户的电话号码，用户的名称(昵称或真实姓名)，用户等级标识，该等级标识用于标识用户的优先级，例如，用户是普通用户，VIP用户，SVIP用户等，标识“1”表示第一级别，用于标识SVIP用户，标识“2”标识第二级别，用于标识VIP用户，标识“3”表示第三级别，用于标识普通用户。
步骤202、路径规划设备接收移动终端发送的用车请求，为用户安排车辆并生成出行路径。
当该出发时间为当前时刻，则根据出发地址为用户匹配离该出发地址较近的车辆，获取该车辆的车辆相关信息(车牌号码及司机电话号码)。根据该目的地址和出发地址为用户规划至少一条出行路径，路径规划设备可以规划出多条出行路径，进一步的，从多条出行路径中选择一条最优的出行路径。例如，该最优的出行路径为：出行时间最短的路径，出行路程最短的路径，出行畅通的路径等等。
例如，出发地址为A，目的地址为B，规划的多条出行路径为(A-C-D-B),(A-E-F-B),(A-G-H-B)，进一步的，路径规划设备可以根据每条出行路径的路况从这3条出行路径中 选择一条最优的出行路径，路况包括但不限定于预计拥堵情况和路面状态(例如是否修路)等。如用户的出发时间为早上8:00，通过这三条出行路径的路程相差不多，大约都是20公里，但是，根据历史数据在8:00-8:30，出行路径(A-C-D-B)上，路段(D-B)非常拥堵，而出行路径(A-E-F-B)中的路段(E-F)在修建地铁，出行路径(A-G-H-B)的拥堵情况和路面状况良好，因此，确定出行路径(A-G-H-B)为最优的出行路径。需要说明的是，本示例中，从多条出行路径中选择一条最优的出行路径的具体方法只是为了方便说明而举的例子，并不造成对本申请的限定性说明。
步骤203、路径规划设备向移动终端反馈车辆相关信息和出行路径的信息。
路径规划设备向移动终端发送匹配的车辆的车牌号码及司机电话号码及出行路径的信息，同时将用户信息(如用户的电话号码)发送给该车辆的车辆终端。
需要说明的是，上述步骤201-步骤203只是以一个移动终端与路径规划设备的交互进行说明，在实际应用中，在同一时刻，可能会有多个移动终端向该路径规划设备发送路径规划请求，每个路径规划请求中均会包含用户信息，路径规划设备根据用户信息来区分不同的用户的移动终端发送的路径规划请求，对于每个路径规划请求，路径规划设备的处理步骤如步骤201-步骤203。
步骤204、路径规划设备向优化处理设备发送网络质量优化请求，其中，网络质量优化请求携带出行路径的信息，及该出行路径的信息对应的时间信息，时间信息包括移动终端通过出行路径上的目标位置所对应的预计时刻或者两个预计时刻之间预计时间段。例如，通过第一目标位置的预计时刻为10:25，或者，通过第一目标位置的预计时刻为10:25至10:28。
路径规划设备识别用户信息中的电话号码所归属的运营商(如联通，移动，电信等)，例如，向该目标运营商(如联通)的优化处理设备发送网络质量优化请求，该网络质量优化请求用于请求优化覆盖该出行路径的网络质量。
路径规划设备根据用户信息中的用户级别标识可以确定该用户的优先级，若在某一个时间段内，网络约车的用户的数量非常多，则不能保证为所有的用户提供动态的优化无线网络质量的服务，则只能为一部分用户提供无线网络质量的优化服务，因此，路径规划设备可以根据用户信息中的用户级别标识来确定该用户是否为VIP用户或者SVIP用户，为VIP用户或者SVIP用户提供网络质量优化服务，具体的步骤可以为：
a、路径规划设备根据用户级别标识确定该用户是否为目标用户，该目标用户为优先级大于或者等于阈值的用户。例如，该阈值为第二级别，则该目标用户包含SVIP用户和VIP用户，若该阈值为第一级别，则目标用户为SVIP用户。例如，本示例中，该目标用户以SVIP用户为例进行说明。
b、路径规划设备确定目标用户的出行路径及移动终端通过该出行路径上的目标位置所对应的预计时刻或预计时间段。
在第一种可能的实现方式中，该时间信息包括通过该出行路径(如A-G-H-B)的总时长，出发时刻和预计到达时刻。
在第二种可能的实现方式中，请结合图4进行理解，图4为本申请实施例中的场景示意图。该目标用户的出行路径为(A-G-H-B)，将该出行路径拆分为多个路径段，该多个路径段包括第一路段(A-G)，第二路段(G-H)，第三个路段(H-B)，及通过每个分段点的预计时刻，例如，出发时刻为8:00，通过C点(第一个目标位置)的预计时刻为8:20，通过H点(第二个目标位置)的预计时刻为8:40，到达B点(第三个目标位置)的预计时刻为9:00。本 示例中，对出行路径进行拆分，将该出行路径拆分为多个路段，并预计车辆通过分段点时的预计时刻，可以实现精准细分。本示例中，移动终端通过出行路径所对应的预计时刻以通过分段点的预计时刻为例进行说明，并不造成对本申请的限定性说明，当然为了网络优化更准确，可以确定该出行路径上的更多数量的目标位置，预计车辆经过这些目标位置的预计时刻。
需要说明的是，在实际应用中，该目标用户的设置可以是动态的，例如，在非用车高峰时段，例如：10:00-11:00,14:00-17:00,22:00-7:00时段，阈值为第三级别，则该目标用户包括普通用户，VIP用户和SVIP用户；若在用车高峰时段，例如，在9:00-10:00,11:00-14:00,20:00-22:00时段，该阈值为第二级别，在该目标用户包括VIP用户和SVIP用户；若在用车极高峰时段，例如：7:00-9:00，17:00-20:00，该阈值为第一级别，在该目标用户为SVIP用户。
可选的，在同一时刻，该路径规划设备向优化处理设备发送的网络质量优化请求中可以包含至少一个出行路径，例如，该网络质量优化请求包括5个出行路径及通过该5条出行路径上的目标位置所对应的预计时刻，该5个出行路径的信息分别对应5个SVIP用户的用户信息。或者，该路径规划设备针对每一个SVIP用户向优化处理设备发送一个网络质量优化请求，该网络质量优化请求中包含一个SVIP用户对应的出行路径的信息。
步骤205、优化处理设备根据至少一个网络质量优化请求中的出行路径的信息将每条出行路径与多个基站的覆盖区域进行匹配，确定覆盖每条出行路径的信号所归属的基站集合，该基站集合至少包含一个目标基站。
优化处理设备接收网络质量优化请求，并对该网络质量优化请求中的信息进行信息格式化和预处理。
本示例中，以一条出行路径的区域与至少一个基站所覆盖的区域进行匹配为例进行说明，请结合图4进行理解，图4为本申请实施例中的场景示意图。根据出行路径(A-G-H-B)的位置，搜索该出行路径(A-G-H-B)附近的多个基站，然后，将该多个基站所覆盖的区域与该出行路径的区域进行匹配，确定与该出行路径的各路径段相匹配的基站集合包括4个基站，该四个基站分别为：第一基站4051、第二基站4052、第三基站4053和第四基站4054，该4个基站辐射信号的区域可以覆盖整个出行路径(A-G-H-B)。
需要说明的是，本示例中，是以一条出行路径与至少一个基站的覆盖区域进行匹配为例进行说明，在实际应用中，该优化处理设备在同一时刻，可能同时确定与多条出行路径中的每一条出行路径所匹配的基站，具体方法可以结合本步骤中的一条出行路径与至少一个基站进行匹配的过程进行理解，此处不赘述。
步骤206、优化处理设备根据覆盖每条出行路径的信号所属的基站、及通过每条出行路径上的目标位置所对应的预计时刻，生成优化策略，优化策略包括按照对应的预计时刻对对应的目标基站的无线资源的配置信息。
以一条出行路径为例进行说明，优化处理设备根据该出行路径(A-M-G-L-H-N-B)所匹配的基站，确定在该出行路径上的目标位置为A点、M点、G点、L点、H点和N点和B点，及通过各个目标位置的预计时刻，例如，通过A点的时刻为8:00，通过M点的预计时刻为8:10；通过C点的预计时刻为8:20；通过L点的预计时刻为8:30；通过H点的预计时刻为8:40，通过N点的预计时刻为8:50；到达B点的预计时刻为9:00。
移动终端在不同的时刻点会接入不同的小区，每个小区具有小区物理标识(Physical Cell ID，缩写：PCI)，由于优化处理设备已经从路径规划设备接收到了车辆到达不同目标 位置的预计时刻，在该优化处理设备也就可以确定移动终端在不同时刻点接入的小区，例如，在8:00优化处理设备确定在8:00接入第一基站的第一小区，在8:20接入第二基站的第二小区等等。
优化处理设备按照预计时刻及在预计时刻到达的目标位置，对与该目标位置相匹配的目标基站进行参数配置，得到优化策略。该优化策略包括按照对应的预计时刻对对应的目标基站的无线资源的配置信息。该配置信息包括但不限定于基站天线的波束宽度、天线的倾斜角、天线的方向等参数，通过配置信息来调节小区的覆盖，从而使得在预计时刻该用户到达该区域时，可以提高移动终端的通信质量。
例如，该优化策略包括时间段前如下内容：在8:00-8:10时，第一基站的天线波束宽度为1度，天线的下倾角为6度；在8:10-8:20时，第一基站的天线的度为1度，天线的下倾角为7度；在8:20-8:30时，第二基站的天线的度为1度，天线的下倾角为6度等等，此处不一一赘述。
需要说明的是，上述以一条出行路径为例进行说明，在实际应用中，该优化策略包括多个出行路径对应的目标基站配置信息，请参阅图5所示，图5为本申请实施例中的场景示意图。在图5中以两条出行路径进行举例，出行路径A 501为用户A对应的出行路径，出行路径B 502为用户B对应的出行路径。
可选的，网络质量优化请求中还包括用户级别标识，若在同一个时间段，例如，用户A在8:10-8:20通过O点至Y点，而用户B在8:10-8:20通过X点至P点出行路径A和出行路径B的方向相反，当在同一个时间段，对同一个基站的配置发生冲突时，可以按照用户的级别(VIP或SVIP)或者出行路径的级别(一级公路，二级公路，三级公路等等)生成优化策略。举个例子，若用户A为VIP用户，而用户B为SVIP用户，则在8:10-8:20可以调整天线的方向及倾斜角以提高第二出行路径上X点至P点区域的信号覆盖；再如，若出行路径A为二级公路，出行路径B为三级公路，则在8:10-8:20可以调整天线的方向及倾斜角以提高出行路径B上O点至Y点区域的信号覆盖。可选的，优化策略中的配置信息是动态调整的，优化策略包括的每条出行路径与其对应配置信息的对应关系，例如，出行路径A对应第一配置信息(8:10-8:20，第一基站的下倾角为6度)，出行路径B对应第二配置信息(如，8:10-8:20，第二基站的下倾角为7度)等等。在本申请实施例中，该优化策略是动态变化的，在第一时刻该优化处理设备已经生成了优化策略，该优化策略中包含针对多个出行路径的配置信息，若用户临时取消了出行计划，则移动终端向路径规划设备发送路径取消请求，该路径取消请求中包含出行路径A的信息，该路径规划设备接收到该路径取消请求后，向移动终端反馈响应，并向优化处理设备发送请求，该请求中携带需要被取消的出行路径A的信息，优化处理设备根据每条出行路径与其对应策略的对应关系从优化策略中删除针对目标出行路径(出行路径A)的目标配置信息。
需要说明的是，本申请实施例中，该配置信息所包含的参数只是为了方便说明而举的例子，并不造成对本申请的限定性说明。在实际应用中，该配置信息可以包含更多的优化相关的参数信息，例如基站的发送功率，传输参数等。本申请实施例中，该配置信息以天线的倾斜角为例进行说明。
步骤207、优化处理设备根据优化策略向网元管理设备发送调整命令。
该优化处理设备根据该优化策略按照序列向网元管理设备下发调整命令，其中，按照序列为按照时间的序列，该优化策略中包含多个配置信息，例如针对出行路径A的配置信息和 针对出行路径B的配置信息，该优化策略如下表1所示：
表1
Figure PCTCN2018105870-appb-000001
例如，该优化处理设备可以在优化策略中所包含的第一预计时刻之前的第二预计时刻发送调整命令，该第一预计时刻为优化策略中最早的时刻点，该第二预计时刻与该第一预计时刻之间间隔有预置时长，例如，该预置时长为5分钟，该优化处理设备可以在7:55分向网元管理设备发送第一调整命令，该第一调整命令包括：8:00-8:10第一基站下倾角为6度，8:10-8:20第二基站下倾角为6度。优化处理设备在8:55分向网元管理设备发送第二调整命令，该第二调整命令包括：9:00-9:20第三基站下倾角为7度，9:20-9:40第四基站下倾角为7度。
可选的，该调整命令包括第一指令和第二指令，该第一指令用于对用户通过的时间段的无线资源的调整，第二指令用于对用户通过的时间段之后的无线资源的调整。本申请实施例中为了优化用户通过出行路径时的信号的信号质量，该配置信息包含对用户通过的时间段的无线资源的调整，但是在用户通过出行路径上的一个目标位置之后，通讯的重点还应该在基本的通信质量、容量保障上，因此还需要在用户通过的时间段之后，目标基站对无线资源进行重新调整，即反调整。例如，该第二指令用于将目标基站的无线资源重新调整到发送第一指令之前的状态。
需要说明的是，本示例中的出行路径、配置信息及预置时长均是举例说明，并不造成对本申请的限定性说明。
步骤208、网元管理设备根据调整命令向对应的网元发送调整指令，该调整指令用于指示网元在预计时刻对无线资源的分配进行调整。
网元管理设备接收到调整命令后，将该调整命令发送给对应的网元，该调整命令包括第一调整指令和第二调整指令，如在8:00向第一基站发送第一调整指令，从而使得第一基站在8:00-8:10将下倾角调整为6度。然后，在根据第二调整指令，在8:10之后，将该下倾角调回到未调整之前的状态。同理，该网元管理设备在8:10向第二基站发送第一调整指令，从而使第二基站在8:10-8:20，将天线的下倾角调整到6度，第二基站根据第二调整指令，在8:20之后，将该下倾角调回到未调整之前的状态。
基站执行调整命令后，向网元管理设备反馈第一响应，该第一响应包含出行路径的信息，该第一响应用于指示目标基站已经完成无线资源的调整，网元管理设备根据第一响应向优化处理设备反馈第二响应。网元管理设备根据该第二响应确定该出行路径对应的目标基站已经完成无线资源的调整。
本申请实施例中，优化处理设备通过接收路径规划设备发送的网络质量优化请求，其中，网络质量优化请求携带出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻；优化处理设备预先确定出需要进行网络优化的目标位置及预计时刻，将出行路径与基站覆盖区域进行匹配，确定覆盖出行路径的信号所归属的基站集合，根据基站集合中的目标基站、及预计时刻生成优化策略，该优化策略包括按照车辆到达该预计时刻，对目标基站的 无线资源进行配置的配置信息；优化处理设备根据优化策略中对目标基站的配置信息及预计时刻向网元管理设备发送调整命令，网元管理设备根据调整命令指示基站集合中的目标基站在预计时刻对无线资源的分配进行调整。保证在用户实际出行的路径上的无线资源的动态优化配置，从而使得用户在乘车或者移动过程中的无线通信体验得到充分的保证。
可选的，该优化处理设备优化处理设备根据优化策略确定优化结果，该优化结果可以为该优化处理设备根据优化策略计算的优化结果。例如，该优化结果用于告知用户网络质量保障的情况，例如可以用XMbps表示，该优化结果也可以是基站向网元管理设备反馈的第一响应中携带的，然后，该网元管理设备向该优化处理设备反馈的第二响应中也携带该优化结果，优化处理设备向路径规划设备实时反馈各个出行路径的通信质量(优化结果)，该路径规划设备将该优化结果反馈至对应的移动终端，以告知用户当前的无线网络的质量，将网络质量直接呈现给用户，从而使得用户有更多的参与度。
在上述实施例的基础上，本申请提供了另一个示例，在步骤202中，若用户优先级标识为第一优先级时，路径规划设备根据用户信息确定该用户为SVIP用户，例如，该SVIP用户为：政府要员或某国领导人等，SVIP用户为需要对出行路线进行严格保密的用户，则路径规划设备生成至少一条第二路径，出行路径包括第一路径的信息和至少一条第二路径；路径规划设备将至少一条第二路径和第一路径均与用户信息的关联关系。
本示例中的第二路径用于对第一路径进行加扰，该第一路径为用户实际出行的路径，而第二路径为对该实际出行的路径进行加扰，在路径规划设备中，将第一路径和至少一条第二路径均与该用户信息建立关联关系，防止路径规划设备被攻击，泄露该SVIP用户的实际出行路径，从而保证SVIP用户的安全。
在步骤204中，路径规划设备向优化处理设备发送的网络质量优化请求中包括的出行路径可以为第一路径，也就是该SVIP的实际出行的路径，由于该网络质量优化请求中不需要携带该用户信息(如用户名称，电话号码等)，因此在此步骤中，可以只将该第一路径发送至该优化处理设备即可，不需要发送加扰的第二路径，以节省调度资源。
各种网络专车当前的竞争集中在车辆的配置和司机的素质上，没有将更好的网络质量作为一个服务项目进行提供，而当前移动终端的大量应用引入了乘客在车上的大部分时间都是使用移动终端在浏览信息或玩游戏，本申请中实施例中能够最大程度的保障用户整个行程的网络质量，将会成为网约车、导航等应用的一个重要的服务项目。本申请实施例中，按照出行路径及移动终端通过该出行路径上的目标位置所对应的预计时刻，可以按需对网路质量进行优化，实现的精准优化，通过对特定出行路径的无线网络优化，为出行用户提供了更好的网络服务。
上面对一种无线资源的调整方法进行了说明，下面对该无线资源的调整方法所应用的优化处理设备进行说明，请参阅图7所示，本申请中提供了一种优化处理设备700的一个实施例包括：
第一接收模块701，用于接收路径规划设备发送的网络质量优化请求，其中，网络质量优化请求携带出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻；
匹配模块702，用于将第一接收模块701接收的出行路径与基站覆盖区域进行匹配，确定覆盖出行路径的信号所归属的基站集合，基站集合包括至少一个目标基站；
生成模块703，用于根据匹配模块702确定的基站集合、及第一接收模块701接收的预计时刻生成优化策略，优化策略包括按照对应的预计时刻对基站集合的无线资源进行配置的 配置信息；
第一发送模块704，用于根据优化策略向网元管理设备发送调整命令，以使网元管理设备根据调整命令指示基站集合中的目标基站在预计时刻对无线资源的分配进行调整。
可选的，生成模块703还具体用于：
确定与各个目标位置相匹配的目标基站；
按照预计时刻及在预计时刻到达的目标位置，对于各目标位置相匹配的目标基站进行参数配置，得到配置信息；
根据预计时刻与配置信息生成优化策略。
在图7对应的实施例的基础上，请参阅图8所示，本申请中提供了一种优化处理设备800的另一个实施例包括：
优化策略包括出行路径与其对应的配置信息的对应关系，优化处理设备还包括第二接收模块705，删除模块706；
第二接收模块705，用于接收路径规划设备发送的出行路径取消请求，出行路径取消请求中包含目标出行路径的信息；
删除模块706，用于根据对应关系从生成模块703生成的优化策略中删除针对目标出行路径的目标配置信息。
在图7对应的实施例的基础上，请参阅图9所示，本申请中提供了一种优化处理设备900的另一个实施例包括：
确定模块707，用于根据生成模块703生成的优化策略确定优化结果，优化结果携带出行路径的信息，优化结果用于指示在预计时刻覆盖出行路径的信号质量；
第二发送模块708，用于将确定模块707确定的优化结果向路径规划设备反馈，以使路径规划设备根据出行路径的信息确定与出行路径的信息对应的用户信息，将信号质量发送至用户信息对应的移动终端。
进一步的，图7-图9中的优化处理设备是以功能模块的形式来呈现。这里的“模块”可以指特定应用集成电路(application-specific integrated circuit，ASIC)，电路，执行一个或多个软件或固件程序的处理器和存储器，集成逻辑电路，和/或其他可以提供上述功能的器件。在一个简单的实施例中，图7-图9中的优化处理设备可以采用图10所示的形式。
图10是本申请实施例提供的一种优化处理设备1000结构示意图，该优化处理设备1000可因配置或性能不同而产生比较大的差异，可以包括一个或一个以上处理器1022和存储器1032，一个或一个以上存储应用程序1042或数据1044的存储介质1030(例如一个或一个以上海量存储设备)。其中，存储器1032和存储介质1030可以是短暂存储或持久存储。存储在存储介质1030的程序可以包括一个或一个以上模块(图示没标出)，每个模块可以包括对优化处理设备中的一系列指令操作。更进一步地，处理器1022可以设置为与存储介质1030通信，在优化处理设备1000上执行存储介质1030中的一系列指令操作。
优化处理设备1000还可以包括一个或一个以上电源1026，一个或一个以上有线或无线网络接口1050，一个或一个以上输入输出接口1058，和/或，一个或一个以上操作系统1041。
上述实施例中由优化处理设备所执行的步骤可以基于该图10所示的优化处理设备结构。
处理器1022使优化处理设备执行图2对应的方法实施例中优化处理设备所实际执行的步骤。
本申请实施例提供了一种计算机存储介质，用于储存上述优化处理设备所用的计算机软 件指令，其包含用于图2对应的方法实施例中优化处理设备所实际执行的方法所设计的程序。
上面对一种优化处理设备的结构进行了说明，下面对该无线资源的调整方法所应用的路径规划设备进行说明。参阅图11，本申请提供了一种路径规划设备1100的一个实施例包括：
获取模块1101，用于获取出行路径，及移动终端通过出行路径上的目标位置所对应的预计时刻；
第一发送模块1102，用于向优化处理设备发送网络质量优化请求，网络质量优化请求包括获取模块1101的出行路径及预计时刻，以使优化处理设备根据出行路径将出行路径与基站的覆盖范围进行匹配，确定覆盖出行路径的信号所归属的基站集合；根据基站集合及预计时刻生成优化策略，优化策略包括按照对应的预计时刻对基站集合的无线资源进行配置的配置信息；根据优化策略向网元管理设备发送调整命令，以使网元管理设备根据调整命令指示基站集合在预计时刻对无线资源的分配进行调整。
可选的，获取模块1101还具体用于：
接收移动终端发送的路径规划请求，路线规划请求包含用户信息，起始地点、目的地点及出发时间；
根据起始地点和目的地点规划与用户信息对应的出行路径；
根据出行路径及出发时刻确定移动终端通过出行路径上的目标位置所对应的预计时刻。
可选的，获取模块1101还具体用于：
接收移动终端发送的预约出行路径信息，预约出行路径信息包括用户信息，出行路径，及从出行路径的起始点出发的时刻信息；
根据出行路径及出发时刻确定移动终端通过出行路径上的目标位置所对应的预计时刻。
在图11对应的实施例的基础上，请参阅图12所示，本申请提供了一种路径规划设备1200的另一个实施例包括：
路径规划设备还包括建立模块1103，第二接收模块1104和第二发送模块1105；
建立模块1103，用于建立获取模块1101获取的出行路径与用户信息的对应关系；
第二接收模块1104，用于接收优化处理设备反馈的优化结果，优化结果用于指示在预计时刻覆盖出行路径的信号质量；
第二发送模块1105，用于根据建立模块1103建立的用户信息与出行路径对应关系将第二接收模块1104接收的出行路径上的信号质量反馈至用户信息对应的移动终端。
可选的，用户信息包括用户优先级标识，出行路径包括第一路径和至少一条第二路径；获取模块1101还具体用于：
当用户优先级标识指示第一优先级时，确定与用户信息对应的第一路径，第一路径为用户预计实际出行的路径；
生成至少一条第二路径，第二路径为第一路径的干扰路径；
建立模块1103，还用于建立用户信息与至少一条第二路径、第一路径关联关系。
在图11对应的实施例的基础上，请参阅图13所示，本申请提供了一种路径规划设备的另一个实施例包括：
用户信息包含用户级别标识，用户级别标识用于指示用户的优先级，出行路径为目标用户对应的出行路径，路径规划设备还包括确定模块；
确定模块1104，用于根据获取模块1101获取的用户级别标识确定目标用户，目标用户为优先级大于或者等于阈值的用户。
进一步的，图11-图13中的路径规划设备是以功能模块的形式来呈现。这里的“模块”可以指特定应用集成电路(application-specific integrated circuit，ASIC)，电路，执行一个或多个软件或固件程序的处理器和存储器，集成逻辑电路，和/或其他可以提供上述功能的器件。在一个简单的实施例中，图11-图13中的路径规划设备可以采用图14所示的形式。
图14是本申请实施例提供的一种路径规划设备结构示意图，该路径规划设备1400可因配置或性能不同而产生比较大的差异，可以包括一个或一个以上处理器1422和存储器1432，一个或一个以上存储应用程序1442或数据1444的存储介质1430(例如一个或一个以上海量存储设备)。其中，存储器1432和存储介质1430可以是短暂存储或持久存储。存储在存储介质1430的程序可以包括一个或一个以上模块(图示没标出)，每个模块可以包括对路径规划设备中的一系列指令操作。更进一步地，处理器1422可以设置为与存储介质1430通信，在路径规划设备1400上执行存储介质1430中的一系列指令操作。
路径规划设备1400还可以包括一个或一个以上电源1426，一个或一个以上有线或无线网络接口1450，一个或一个以上输入输出接口1458，和/或，一个或一个以上操作系统1441。
上述实施例中由路径规划设备所执行的步骤可以基于该图14所示的路径规划设备结构。
处理器1422使路径规划设备执行图2对应的方法实施例中路径规划设备所实际执行的步骤。
本申请实施例提供了一种计算机存储介质，用于储存上述路径规划设备所用的计算机软件指令，其包含用于图2对应的方法实施例中路径规划设备所实际执行的方法所设计的程序。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统，装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上，以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (22)

  1. 一种无线资源的调整方法，其特征在于，包括：
    接收路径规划设备发送的网络质量优化请求，其中，所述网络质量优化请求携带出行路径，及移动终端通过所述出行路径上的目标位置所对应的预计时刻；
    将所述出行路径与基站覆盖区域进行匹配，确定覆盖所述出行路径的信号所归属的基站集合，所述基站集合包括至少一个目标基站；
    根据所述基站集合、及所述预计时刻生成优化策略，所述优化策略包括按照对应的预计时刻对所述基站集合中的目标基站进行无线资源配置的配置信息；
    根据所述优化策略向网元管理设备发送调整命令，以使所述网元管理设备根据所述调整命令指示所述基站集合中的目标基站在所述预计时刻对无线资源的分配进行调整。
  2. 根据权利要求1所述的无线资源的调整方法，其特征在于，所述根据所述基站集合、及所述预计时刻生成优化策略，包括：
    确定与各个所述目标位置相匹配的目标基站；
    按照预计时刻及在预计时刻到达的目标位置，对与各目标位置相匹配的目标基站进行参数配置，得到配置信息；
    根据所述预计时刻与所述配置信息生成所述优化策略。
  3. 根据权利要求1或2所述的无线资源的调整方法，其特征在于，所述优化策略包括所述出行路径与其对应的配置信息的对应关系，所述方法还包括：
    接收所述路径规划设备发送的出行路径取消请求，所述出行路径取消请求中包含目标出行路径的信息；
    根据所述对应关系从所述优化策略中删除针对所述目标出行路径的目标配置信息。
  4. 根据权利要求1-3中任一项所述的无线资源的调整方法，其特征在于，所述根据所述基站集合、及所述预计时刻生成优化策略之后，所述方法还包括：
    根据所述优化策略确定优化结果，所述优化结果携带出行路径的信息，所述优化结果用于指示在预计时刻覆盖所述出行路径的信号质量；
    将所述优化结果向所述路径规划设备反馈，以使所述路径规划设备根据所述出行路径的信息确定与所述出行路径的信息对应的用户信息，将所述信号质量发送至所述用户信息对应的移动终端。
  5. 一种无线资源的调整方法，其特征在于，包括：
    获取出行路径，及移动终端通过所述出行路径上的目标位置所对应的预计时刻；
    向优化处理设备发送网络质量优化请求，所述网络质量优化请求包括出行路径及所述预计时刻，以使所述优化处理设备根据所述出行路径将所述出行路径与基站的覆盖范围进行匹配，确定覆盖所述出行路径的信号所归属的基站集合；根据所述基站集合及所述预计时刻生成优化策略，所述优化策略包括按照对应的预计时刻对所述基站集合的无线资源进行配置的配置信息；根据所述优化策略向网元管理设备发送调整命令，以使所述网元管理设备根据所述调整命令指示所述基站集合在所述预计时刻对无线资源的分配进行调整。
  6. 根据权利要求5所述的无线资源的调整方法，其特征在于，所述获取出行路径，及移动终端通过所述出行路径上的目标位置所对应的预计时刻，包括：
    接收移动终端发送的路径规划请求，所述路线规划请求包含用户信息，起始地点、目的地点及出发时间；
    根据所述起始地点和所述目的地点规划与所述用户信息对应的出行路径；
    根据所述出行路径及所述出发时刻确定移动终端通过所述出行路径上的目标位置所对应的预计时刻。
  7. 根据权利要求5所述的无线资源的调整方法，其特征在于，获取出行路径，及移动终端通过所述出行路径上的目标位置所对应的预计时刻，包括：
    接收移动终端发送的预约出行路径信息，所述预约出行路径信息包括用户信息，出行路径，及从所述出行路径的起始点出发的时刻信息；
    根据所述出行路径及所述出发时刻确定移动终端通过所述出行路径上的目标位置所对应的预计时刻。
  8. 根据权利要求6或7所述的无线资源的调整方法，其特征在于，所述方法还包括：
    建立所述出行路径与所述用户信息的对应关系；
    接收优化处理设备的优化结果，所述优化结果用于指示在预计时刻覆盖所述出行路径的信号质量；
    根据所述用户信息与所述出行路径对应关系将所述出行路径上的信号质量反馈至所述用户信息对应的移动终端。
  9. 根据权利要求5所述的无线资源的调整方法，其特征在于，所述用户信息包括用户优先级标识，所述出行路径包括第一路径和至少一条第二路径；获取出行路径，包括：
    当所述用户优先级标识指示第一优先级时，确定与所述用户信息对应的第一路径，所述第一路径为用户预计实际出行的路径；
    生成至少一条第二路径，所述第二路径为所述第一路径的干扰路径；
    所述方法还包括：
    建立所述用户信息与所述至少一条第二路径、所述第一路径关联关系。
  10. 根据权利要求5至9任一项所述的无线资源的调整方法，其特征在于，所述用户信息包含用户级别标识，所述用户级别标识用于指示所述用户的优先级，所述出行路径为目标用户对应的出行路径，所述向所述优化处理设备发送网络质量优化请求之前，所述方法还包括：
    根据所述用户级别标识确定目标用户，所述目标用户为所述优先级大于或者等于阈值的用户。
  11. 一种优化处理设备，其特征在于，包括：
    第一接收模块，用于接收路径规划设备发送的网络质量优化请求，其中，所述网络质量优化请求携带出行路径，及移动终端通过所述出行路径上的目标位置所对应的预计时刻；
    匹配模块，用于将所述第一接收模块接收的所述出行路径与基站覆盖区域进行匹配，确定覆盖所述出行路径的信号所归属的基站集合，所述基站集合包括至少一个目标基站；
    生成模块，用于根据所述匹配模块确定的所述基站集合、及所述第一接收模块接收的所述预计时刻生成优化策略，所述优化策略包括按照对应的预计时刻对所述基站集合的无线资源进行配置的配置信息；
    第一发送模块，用于根据所述优化策略向网元管理设备发送调整命令，以使所述网元管理设备根据所述调整命令指示所述基站集合中的目标基站在所述预计时刻对无线资源的分配进行调整。
  12. 根据权利要求11所述的优化处理设备，其特征在于，所述生成模块还具体用于：
    确定与各个所述目标位置相匹配的目标基站；
    按照预计时刻及在预计时刻到达的目标位置，对与各目标位置相匹配的目标基站进行参数配置，得到配置信息；
    根据所述预计时刻与所述配置信息生成所述优化策略。
  13. 根据权利要求11或12所述的优化处理设备，其特征在于，所述优化策略包括所述出行路径与其对应的配置信息的对应关系，所述优化处理设备还包括第二接收模块，删除模块；
    所述第二接收模块，用于接收所述路径规划设备发送的出行路径取消请求，所述出行路径取消请求中包含目标出行路径的信息；
    所述删除模块，用于根据所述对应关系从所述生成模块生成的所述优化策略中删除针对所述目标出行路径的目标配置信息。
  14. 根据权利要求11所述的优化处理设备，其特征在于，还包括：
    确定模块，用于根据所述生成模块生成的优化策略确定优化结果，所述优化结果携带出行路径的信息，所述优化结果用于指示在预计时刻覆盖所述出行路径的信号质量；
    第二发送模块，用于将所述确定模块确定的优化结果向所述路径规划设备反馈，以使所述路径规划设备根据所述出行路径的信息确定与所述出行路径的信息对应的用户信息，将所述信号质量发送至所述用户信息对应的移动终端。
  15. 一种路径规划设备，其特征在于，包括：
    获取模块，用于获取出行路径，及移动终端通过所述出行路径上的目标位置所对应的预计时刻；
    第一发送模块，用于向优化处理设备发送网络质量优化请求，所述网络质量优化请求包括获取模块的出行路径及所述预计时刻，以使所述优化处理设备根据所述出行路径将所述出行路径与基站的覆盖范围进行匹配，确定覆盖所述出行路径的信号所归属的基站集合；根据所述基站集合及所述预计时刻生成优化策略，所述优化策略包括按照对应的预计时刻对所述基站集合的无线资源进行配置的配置信息；根据所述优化策略向网元管理设备发送调整命令，以使所述网元管理设备根据所述调整命令指示所述基站集合在所述预计时刻对无线资源的分配进行调整。
  16. 根据权利要求15所述的路径规划设备，其特征在于，
    所述获取模块还具体用于：
    接收移动终端发送的路径规划请求，所述路线规划请求包含用户信息，起始地点、目的地点及出发时间；
    根据所述起始地点和所述目的地点规划与所述用户信息对应的出行路径；
    根据所述出行路径及所述出发时刻确定移动终端通过所述出行路径上的目标位置所对应的预计时刻。
  17. 根据权利要求15所述的路径规划设备，其特征在于，
    所述获取模块还具体用于：
    接收移动终端发送的预约出行路径信息，所述预约出行路径信息包括用户信息，出行路径，及从所述出行路径的起始点出发的时刻信息；
    根据所述出行路径及所述出发时刻确定移动终端通过所述出行路径上的目标位置所对应的预计时刻。
  18. 根据权利要求16或17所述的路径规划设备，其特征在于，还包括建立模块，第二接收模块和第二发送模块；
    所述建立模块，用于建立所述获取模块获取的所述出行路径与所述用户信息的对应关系；
    所述第二接收模块，用于接收优化处理设备反馈的优化结果，所述优化结果用于指示在预计时刻覆盖所述出行路径的信号质量；
    所述第二发送模块，用于根据所述建立模块建立的所述用户信息与所述出行路径对应关系将所述第二接收模块接收的所述出行路径上的信号质量反馈至所述用户信息对应的移动终端。
  19. 根据权利要求15所述的路径规划设备，其特征在于，所述用户信息包括用户优先级标识，所述出行路径包括第一路径和至少一条第二路径；所述路径规划设备还包括建立模块；
    所述获取模块还具体用于：
    当所述用户优先级标识指示第一优先级时，确定与所述用户信息对应的第一路径，所述第一路径为用户预计实际出行的路径；
    生成至少一条第二路径，所述第二路径为所述第一路径的干扰路径；
    所述建立模块，还用于建立所述用户信息与所述至少一条第二路径、所述第一路径关联关系。
  20. 根据权利要求15至19任一项所述的路径规划设备，其特征在于，所述用户信息包含用户级别标识，所述用户级别标识用于指示所述用户的优先级，所述出行路径为目标用户对应的出行路径，所述路径规划设备还包括确定模块；
    所述确定模块，用于根据所述获取模块获取的所述用户级别标识确定目标用户，所述目标用户为所述优先级大于或者等于阈值的用户。
  21. 一种优化处理设备，其特征在于，包括：
    存储器，用于存储计算机可执行程序代码；
    网络接口，以及
    处理器，与所述存储器和所述网络接口耦合；
    其中所述程序代码包括指令，当所述处理器执行所述指令时，所述指令使所述优化处理设备执行如权利要求1-4中任一项所述的无线资源的调整方法。
  22. 一种路径规划设备，其特征在于，包括：
    存储器，用于存储计算机可执行程序代码；
    网络接口，以及
    处理器，与所述存储器和所述网络接口耦合；
    其中所述程序代码包括指令，当所述处理器执行所述指令时，所述指令使所述路径规划设备执行如权利要求5-10中任一项所述的无线资源的调整方法。
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