WO2018233679A1 - 负荷均衡方法及装置 - Google Patents

负荷均衡方法及装置 Download PDF

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Publication number
WO2018233679A1
WO2018233679A1 PCT/CN2018/092382 CN2018092382W WO2018233679A1 WO 2018233679 A1 WO2018233679 A1 WO 2018233679A1 CN 2018092382 W CN2018092382 W CN 2018092382W WO 2018233679 A1 WO2018233679 A1 WO 2018233679A1
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Prior art keywords
load
service
type
cell
target
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PCT/CN2018/092382
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English (en)
French (fr)
Inventor
牛康
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中兴通讯股份有限公司
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Priority to US16/624,184 priority Critical patent/US20200178132A1/en
Priority to EP18821386.2A priority patent/EP3644646A4/en
Publication of WO2018233679A1 publication Critical patent/WO2018233679A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00835—Determination of neighbour cell lists
    • 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
    • H04W28/08—Load balancing or load distribution
    • H04W28/086—Load balancing or load distribution among access entities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • 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
    • H04W28/08—Load balancing or load distribution
    • H04W28/086—Load balancing or load distribution among access entities
    • H04W28/0861—Load balancing or load distribution among access entities between base stations
    • 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
    • H04W28/08—Load balancing or load distribution
    • H04W28/09—Management thereof
    • H04W28/0958—Management thereof based on metrics or performance parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/16—Performing reselection for specific purposes
    • H04W36/22—Performing reselection for specific purposes for handling the traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data

Definitions

  • the present disclosure relates to the field of mobile communication systems, and in particular, to a load balancing method and apparatus.
  • LTE Long Term Evolution
  • the LTE mobile communication system can provide a mobile communication network for various services such as voice, data, and multimedia.
  • voice Voice over LTE (VoLTE)
  • data multimedia applications, and the like are all data services, but each of these data services has characteristics.
  • Ordinary data services mainly refer to services that require less user perception (for example, web browsing, instant messaging, etc.).
  • Voice services require high real-time performance, while multimedia services (for example, video services) not only have real-time requirements, but also resource requirements. Therefore, the data service of the LTE system can be at least divided into three levels: ordinary data service, voice service, and multimedia service.
  • each cell in the base station serves as a system for providing system resources, and performs load balancing with neighboring cells (same base stations or different base stations) only when the overall traffic load exceeds the limit.
  • neighboring cells such base stations or different base stations
  • the existing load balancing especially load balancing across base stations
  • a load balancing method including: detecting a load of a current cell and a neighboring cell according to a service attribute; and selecting a target cell of load balancing according to the specific service when a specific traffic load exceeds a preset threshold .
  • a load balancing apparatus comprising: a detecting module configured to detect a load of a current cell and a neighboring cell according to a service attribute; and a selection module configured to when a specific traffic load exceeds a preset threshold And selecting a target cell for load balancing according to the specific service.
  • a load balancing apparatus including a memory and a processor, wherein the memory stores a program that, when executed by the processor, causes the processor to perform a load according to the present disclosure Balance method.
  • a storage medium having stored thereon a program that, when executed by a processor, causes the processor to perform a load balancing method according to the present disclosure.
  • FIG. 1 is a flow chart of a load balancing method in accordance with an embodiment of the present disclosure
  • step S102 in a load balancing method in accordance with a disclosed embodiment
  • FIG. 3 is a schematic diagram of a load balancing device in accordance with an embodiment of the present disclosure
  • FIG. 4 is a block diagram of a load balancing system in accordance with an embodiment of the present disclosure.
  • each cell in the base station provides system resources, and only performs load balancing with neighboring cells (cells of the same base station or different base stations) when the overall traffic load is exceeded.
  • neighboring cells cells of the same base station or different base stations
  • service layering for example, when the overall traffic load of the cell is not exceeded, and a certain layered service (for example, VoLTE voice service) is out of limits, the cell will not start load balancing, and therefore, will not The VoLTE voice service is equalized into neighboring cells, thereby seriously affecting user perception.
  • the service is at least divided into a general service (for example, a service with a lower user perception requirement), a first type of service (for example, a voice service), and a second type of service (for example, a multimedia service such as a video service). business).
  • a general service for example, a service with a lower user perception requirement
  • a first type of service for example, a voice service
  • a second type of service for example, a multimedia service such as a video service. business.
  • the present disclosure is not limited thereto, and various services may be divided in different manners according to different standards and/or needs.
  • FIG. 1 is a flow chart of a load balancing method in accordance with an embodiment of the present disclosure.
  • a load balancing method may include steps S101 and S102.
  • step S101 the load of the current cell and the neighboring cell is detected according to the service attribute.
  • step S102 when the specific traffic load exceeds the preset threshold, the load-balanced target cell is selected according to the specific service.
  • Step S101 may include performing hierarchical detection on the service load of the current cell and the neighboring cell according to the service attribute, to obtain each layered load of the current cell service and each layered load of the neighboring cell service.
  • FIG. 2 shows a flow chart of step S102 in a load balancing method in accordance with a disclosed embodiment.
  • step S102 may include: determining, according to each layered load of the current cell service and the total load of each layered load, whether each layered load and/or the overall load of the current cell service is out of limit (step S1021)
  • the target UE is selected from all the user equipments (User Equipments, UEs) corresponding to the tiered load that exceeds the limit, and according to the neighbor cell service
  • Each hierarchical load selecting a target cell from the neighboring cells to migrate the selected target UE to the selected target cell (step S1022); and only the overall load overrun in the current cell service and each layer
  • the target UE is selected from all UEs, and the target cell is selected from the neighboring cells according to the overall load of the neighboring cell service, so as to migrate the selected target UE to the selected target cell ( Step S1023).
  • the tiered load may include a normal traffic load, a first type of traffic load, and a second type of traffic load, and the overall load is the sum of the normal traffic load, the first type of traffic load, and the second type of traffic load.
  • Step S1021 may include: if the first type of service load of the current cell service exceeds a preset first load threshold, determining that the first type of service load of the current cell service exceeds the limit; if the second type of service load of the current cell service exceeds the pre- The second load threshold is set to determine that the second type of service load of the current cell service exceeds the limit; and if the total load of the current cell service exceeds the preset total load threshold, the overall load of the current cell service is determined to be excessive.
  • step S1022 may include: selecting a carrying service from the current cell when the first type of traffic load of the current cell service is exceeded or when the first type of traffic load and the total load of the current cell service are both exceeded.
  • a QoS Class Identifier (QCI) is a bearer of QCI1 and does not carry a QCI2 bearer as a target UE; and according to a first type of traffic load of a neighbor cell service, a traffic load of the first type is less than a preset A cell with the lowest traffic load of the first type is selected as the target cell among the neighboring cells with a load threshold and the overall load is less than the preset overall load threshold.
  • step S1022 may include: when the second type of service load of the current cell service is exceeded or when the second type of service load and the total load of the current cell service are both exceeded, the QCI2 is selected to be carried from the current cell.
  • the bearer UE is used as the target UE; and according to the second type of service load of the neighbor cell service, the second cell is selected from the neighboring cell whose service load is less than the preset second load threshold and the total load is less than the preset total load threshold.
  • the second type of cell with the lowest traffic load is used as the target cell.
  • step S1022 may include: when the first type of service load and the second type of service load of the current cell service are both overrun, first select, from the current cell, a UE that carries both the QCI1 bearer and the QCI2 bearer.
  • the UE carrying the QCI1 bearer or carrying the QCI2 bearer is selected as the target UE; and according to the first type of service load and the second type of service load of the neighboring cell service, the traffic load of the first type is less than the preset first load threshold, In the neighboring cell in which the second type of service load is less than the preset second load threshold and the overall load is less than the preset total load threshold, the cell with the lowest weighted sum of the first type of service load and the second type of service load is selected as the target cell.
  • the step S1022 may include: when the first type of service load, the second type of service load, and the total load of the current cell service are both overrun, first select the QCI1 bearer and carry the QCI2 bearer from the current cell. The UE then selects the UE carrying the QCI1 bearer or carrying the QCI2 bearer as the target UE; and according to the first type of service load of the neighboring cell service and the second type of service load, the traffic load of the first type is less than the preset first load.
  • the cell with the lowest weighted sum of the first type of service load, the second type of service load, and the total load is selected. As the target cell.
  • the UE that first carries the QCI1 bearer and carries the QCI2 bearer and selects the UE that carries the QCI1 bearer or carries the QCI2 bearer as the target UE from the current cell refers to the current cell.
  • the UE that carries the QCI1 bearer and carries the QCI2 bearer is selected first, and the selected UE is migrated to the target cell.
  • the UE that carries the QCI1 bearer or carries the QCI2 bearer is selected as the target UE to migrate the target UE to the neighboring cell.
  • FIG. 3 is a schematic diagram of a load balancing device in accordance with an embodiment of the present disclosure.
  • the load balancing apparatus includes a detection module 201 and a determination selection module 202.
  • the detecting module 201 is configured to detect the load of the current cell and the neighboring cell according to the service attribute.
  • the selection module 202 is configured to select a target cell for load balancing according to the specific service when a specific traffic load exceeds a preset threshold.
  • the detecting module 201 may be configured to perform layered detection on the service load of the current cell and the neighboring cell according to the service attribute, to obtain each layered load of the current cell service and each layered load of the neighboring cell service.
  • the judgment selection module 202 may include a load determination unit 2021 and a selection unit 2022.
  • the load judging unit 2021 is configured to determine whether the respective tiered load and/or the overall load of the current cell service is out of limits according to the respective tiered load of the current cell service and the overall load of each tiered load.
  • the selecting unit 2022 is configured to select the target UE from all the UEs corresponding to the tiered load that exceeds the finite layer load, and select the target UE according to the neighboring cell service when at least one tiered load exceeds the limit of the tiered load of the current cell service.
  • Layer load selecting a target cell from the neighboring cells, so as to migrate the selected target UE to the selected target cell, and when the current cell service only has an overall load exceeding the limit and each layer load is not exceeded,
  • the target UE is selected among all UEs, and the target cell is selected from the neighboring cells according to the overall load of the neighboring cell services, so as to migrate the selected target UE to the selected target cell.
  • the tiered load may include a normal traffic load, a first type of traffic load, and a second type of traffic load, and the overall load is the sum of the normal traffic load, the first type of traffic load, and the second type of traffic load.
  • the load judging unit 2021 may include a first type of load judging subunit 2021_1, a second load judging subunit 2021_2, and an overall load judging subunit 2021_3.
  • the first type of load determining subunit 2021_1 determines that the first type of service load of the current cell service is out of limits.
  • the second load determining subunit 2021_2 determines that the second type of service load of the current cell service exceeds the limit.
  • the overall load determining subunit 2021_3 determines that the overall load of the current cell service is out of limits.
  • the selection unit 2022 may include a first selection subunit 2022_1, a second selection subunit 2022_2, and a third selection subunit 2022_3.
  • the first selection subunit 2022_1 selects to carry the QCI1 bearer from the current cell and does not carry the QCI2.
  • the bearer UE is used as the target UE, and according to the first type of service load of the neighboring cell service, the first cell is selected from the neighboring cells whose first type of service load is less than the preset first load threshold and whose overall load is less than the preset total load threshold. A cell with the lowest traffic load is used as the target cell.
  • the second selection subunit 2022_2 selects the UE carrying the QCI2 bearer from the current cell as the target.
  • the UE selects the second type of service load from the neighboring cell whose second type of service load is less than the preset second load threshold and whose overall load is less than the preset total load threshold according to the second type of service load of the neighbor cell service.
  • the cell is the target cell.
  • the third selection subunit 2022_3 first selects the UE that carries the QCI1 bearer and carries the QCI2 bearer from the current cell, and secondly carries the QCI1 bearer.
  • the UE carrying the QCI2 bearer as the target UE and according to the first type of service load and the second type of service load of the neighboring cell service, the traffic load of the first type is less than the preset first load threshold, and the second type of service load is less than In a neighboring cell that presets the second load threshold and whose overall load is less than the preset overall load threshold, the cell with the lowest weighted sum of the first type of traffic load and the second type of traffic load is selected as the target cell.
  • the third selection subunit 2022_3 first selects the UE that carries the QCI1 bearer and carries the QCI2 bearer from the current cell, and secondly selects The UE carrying the QCI1 bearer or carrying the QCI2 bearer is used as the target UE, and according to the first type of service load and the second type of service load of the neighboring cell service, the first type of service load is less than the preset first load threshold, and the second type is In a neighboring cell whose service load is less than the preset second load threshold and whose overall load is less than the preset overall load threshold, the cell with the lowest weighted sum of the first type of traffic load, the second type of traffic load, and the overall load is selected as the target cell.
  • the third selection sub-unit 2022_3 of the present disclosure first selects, from the current cell, a UE that carries both a QCI1 bearer and a QCI2 bearer, and secondly selects a UE that carries a QCI1 bearer or carries a QCI2 bearer as a target UE.
  • the third selection sub-unit 2022_3 first selects the UE that carries the QCI1 bearer and carries the QCI2 bearer, and migrates the selected UE to the target cell. After the UE is migrated, it is insufficient to solve the problem in the current cell.
  • the third selection sub-unit 2022_3 selects the UE that carries the QCI1 bearer or carries the QCI2 bearer as the target UE in the current cell to migrate the target UE to the adjacent cell. It should be recognized that if the problem of overloading the tiered service in the current cell is solved after the UE carrying the QCI1 bearer and carrying the QCI2 bearer is migrated, the third selection sub-unit 2022_3 does not need to choose to carry the QCI1 bearer or carry. UE carried by QCI2.
  • the load balancing method according to an embodiment of the present disclosure may include the following steps 1 to 6.
  • step 1 the cell load is identified by attribute classification (ie, service layering), and the load threshold and the overall load threshold of each layer of service are set.
  • the overall load can be the sum of the loads of the tiered services.
  • layering can be performed based on resource occupancy, system capacity, and the like.
  • the VoLTE voice service or VoLTE video service that the system can accommodate is limited and can accommodate different amounts of traffic. A variety of different services cannot occupy all system resources. For example, when a cell can accommodate data services of 1200 UEs, it may only support VoLTE voice services of up to 100 users and VoLTE video services (or multimedia applications) of up to 50 users.
  • Users of each data service can be classified into ordinary data users, VoLTE voice users (which carry QCI1 bearers without carrying QCI2 bearers), and VoLTE video users (carrying QCI2 bearers).
  • VoLTE voice users which carry QCI1 bearers without carrying QCI2 bearers
  • VoLTE video users carrying QCI2 bearers
  • present disclosure is not limited thereto, and users of various services may be divided in different ways according to different standards and/or needs.
  • step 2 the load information of each layer layered by each cell is added to the message transmitted between the base station and the base station.
  • step 3 the base station periodically collects load conditions and overall load conditions of each layer of each cell, and exchanges information about the load situation with the surrounding base stations, and maintains information about the load situation locally.
  • step 4 it is detected whether the overall load of each cell and/or the stratified load exceeds a corresponding threshold.
  • step 5 If the load of the VoLTE voice user exceeds the threshold, perform step 5 and start the VoLTE voice user load balancing; if the load of the VoLTE video user exceeds the threshold, perform step 5 and start the VoLTE video user load balancing; if the overall load of the cell exceeds the threshold, Then step 5 is executed and the overall load balancing of the cell is started.
  • step 5 various load balancing modes are provided by the UE selection policy and the target cell selection policy, including starting single load balancing, starting two load balancing, and starting three load balancing.
  • Initiating single load balancing may include only starting VoLTE voice user load balancing, only starting VoLTE video user load balancing, and only starting overall load balancing.
  • the initiating the VoLTE voice user load balancing may include: selecting a UE that carries the QCI1 bearer and does not carry the QCI2 bearer as the target UE; and selecting a cell whose VoLTE voice user load is less than the first load threshold and the total user load is less than the total load threshold. Community. If there are multiple cells that satisfy the condition, the VoLTE voice user load is sorted from low to high, and the cell with the lowest VoLTE voice user load is selected.
  • Initiating only the VoLTE video user load balancing may include: selecting a UE carrying the QCI2 bearer as the target UE; and selecting a cell whose VoLTE video user load is less than the second load threshold and the total user load is less than the total load threshold as the target cell. If there are multiple cells that satisfy the condition, the VoLTE video user load is sorted from low to high, and the cell with the lowest VoLTE video user load is selected.
  • Initiating two types of load balancing may include initiating VoLTE voice user load balancing and overall load balancing, initiating VoLTE video user load balancing and overall load balancing, and initiating VoLTE voice user load balancing and VoLTE video user load balancing.
  • the initiating the VoLTE voice user load balancing and the overall load balancing may include: selecting a UE that carries the QCI1 bearer and does not carry the QCI2 bearer as the target UE; and selecting that the VoLTE voice user load is less than the first load threshold and the total user load is less than the total load threshold.
  • the cell serves as a target cell. If there are multiple cells that satisfy the condition, the VoLTE voice user load is sorted from low to high, and the cell with the lowest VoLTE voice user load is selected.
  • the initiating the VoLTE video user load balancing and the overall load balancing may include: selecting a UE carrying the QCI2 bearer as the target UE; and selecting a cell whose VoLTE video user load is less than the second load threshold and the total user load is less than the total load threshold as the target cell. If there are multiple cells that satisfy the condition, the VoLTE video user load is sorted from low to high, and the cell with the lowest VoLTE video user load is selected.
  • Initiating the VoLTE voice user load balancing and the VoLTE video user load balancing may include: first selecting a UE carrying the QCI1 and QCI2 bearers as the target UE, and secondly selecting the UE carrying the QCI1 or QCI2 as the target UE; and selecting the VoLTE voice user load to be less than The cell with the first load threshold, the VoLTE video user load being less than the second load threshold, and the total load being less than the total load threshold is used as the target cell. If there are multiple cells satisfying the condition, the weighted sum of the VoLTE voice user load and the VoLTE video user load is calculated, sorted according to the weighted sum from low to high, and the cell with the lowest weighted sum is selected.
  • Initiating three types of load balancing may include starting VoLTE voice user load balancing, VoLTE video user load balancing, and overall load balancing.
  • the UE carrying the QCI1 and QCI2 bearers is selected as the target UE, and the UE carrying the QCI1 or QCI2 is selected as the target UE.
  • a cell whose VoLTE voice user load is less than the first load threshold, whose VoLTE video user load is less than the second load threshold, and whose total load is less than the total load threshold is selected as the target cell.
  • the weighted sum of the VoLTE voice user load, the VoLTE video user load, and the total load is calculated, sorted according to the weighted sum from low to high, and the cell with the lowest weighted sum is selected.
  • step 6 the load balancing process is performed for a specific service layer, that is, the migration of the UE is performed by handover or the like.
  • FIG. 4 is a block diagram of a load balancing system in accordance with an embodiment of the present disclosure.
  • each base station may include a control module, a layering module, each cell, and a load balancing execution module.
  • the Operation Maintenance Center can configure or modify the threshold of each layer load and the overall load of each cell of each base station.
  • the control module may perform the following operations: receiving the cell update notification of each layer of the base station; summarizing the message and notifying the surrounding base station; receiving the layered cell update message of the surrounding base station; notifying each corresponding layer module and maintaining the overall load of each cell Threshold; monitors whether the overall load threshold of each cell exceeds the limit, and starts load balancing decision when the limit is exceeded; and receives the load overrun information reported by each layer module, and performs load balancing decision.
  • the layering module may perform the following operations: acquiring corresponding layer information from each cell of the base station and performing maintenance; when layered cell information Notifying the control module when updating; receiving the layered information of each cell of the other base station sent by the control module and performing maintenance; acquiring and saving the corresponding load threshold of each cell; monitoring whether the corresponding cells exceed the limit; and if the limit is exceeded, Then report the control module.
  • Each of the cells can be aggregated to the corresponding layered module.
  • the load balancing execution module can perform the load balancing method according to the present disclosure.
  • the method according to the above embodiments can be implemented by means of a combination of software and a general hardware platform.
  • the method can also be implemented by hardware.
  • the technical solution of the present disclosure may be implemented in the form of a software product stored in a storage medium (such as a ROM/RAM, a magnetic disk, an optical disk) and including a plurality of instructions to make one terminal
  • the device (which may be a cell phone, computer, server, or network device, etc.) performs the load balancing method of various embodiments of the present disclosure.
  • the foregoing storage medium may include, but is not limited to, a USB flash drive, a read only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk, and the like.
  • ROM read only memory
  • RAM random access memory
  • the storage medium for the code may include, but is not limited to, a USB flash drive, a read only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk, and the like.
  • the load balancing method described in the above embodiment may be executed by a processor.
  • the various units or steps of the present disclosure may be implemented using a general-purpose computing device, which may be centralized on a single computing device or distributed across multiple computing devices. online.
  • the various units or steps of the present disclosure may also be implemented with program code executable by a computing device, wherein the executable program code may be stored in a storage device for execution by the computing device.
  • the methods described in the embodiments of the present disclosure may be performed in a different manner than shown or described herein.
  • the present disclosure is not limited to any particular combination of hardware and software.
  • the cell load is layered according to different services, and the service load balance of different service types can be more flexibly adapted to achieve uniform distribution of different types of services between cells, and the system scheduling pressure of the serving cell is alleviated. At the same time, improve the experience of data users.

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Abstract

本公开提供了一种负荷均衡方法及装置。所述负荷均衡方法包括：通过按照数据业务属性对检测当前小区和各相邻小区的负荷；以及在特定业务负荷超过预设门限时，根据所述特定业务选择负荷均衡的目标小区。

Description

负荷均衡方法及装置 技术领域
本公开涉及移动通信系统技术领域，具体地，涉及一种负荷均衡方法及装置。
背景技术
业务分层是指对同类业务根据业务内容的各自特点进行层次划分。以长期演进(Long Term Evolution，LTE)系统为例，LTE移动通信系统可以提供语音、数据和多媒体等多种业务的移动通信网络。在LTE移动通信系统中，语音(基于LTE的语音业务(Voice over LTE，VoLTE))、数据、多媒体应用等都是数据业务，但是这些数据业务各自具有特点。普通数据业务主要指用户感知度要求不高的业务(例如，网页浏览、即时通讯等)。语音业务对实时性要求较高，而多媒体业务(例如，视频业务)不仅有实时性方面的要求，还有对于资源的要求。因此，LTE系统的数据业务至少可以分为普通数据业务、语音业务和多媒体业务三个层面。
各种不同的数据业务的要求不同，系统调度和资源使用情况也不同。在系统资源一定的情况下，各种数据业务的存在是有限度的，否则系统资源得不到均衡且合理的使用。这意味着，当特定的数据业务超过其在系统中设定的限度时，需要针对该数据业务在相邻系统中进行负荷均衡。
在相关技术中，基站中每个小区作为提供系统资源的一个系统，只在整体的业务负荷超限时才和相邻(同基站或不同基站的)小区进行负荷均衡。而当业务分层越来越多的时，现有的负荷均衡(尤其是跨基站的负荷均衡)将不能满足实际应用需要。
发明内容
根据本公开实施例，提供一种负荷均衡方法，包括：按照业务属性检测当前小区和相邻小区的负荷；以及在特定业务负荷超过预设 门限时，根据所述特定业务选择负荷均衡的目标小区。
根据本公开实施例，提供一种负荷均衡装置，包括：检测模块，其设置为按照业务属性检测当前小区和相邻小区的负荷；以及选择模块，其设置为在特定业务负荷超过预设门限时，根据所述特定业务选择负荷均衡的目标小区。
根据本公开实施例，提供一种负荷均衡设备，包括存储器和处理器，所述存储器中存储有程序，当所述程序由所述处理器运行时，使得所述处理器执行根据本公开的负荷均衡方法。
根据本公开实施例，提供一种存储介质，其上存储有程序，当所述程序由处理器运行时，使得所述处理器执行根据本公开的负荷均衡方法。
附图说明
此处所说明的附图用来提供对本公开的进一步理解，构成本申请的一部分，本公开的示意性实施例及其说明用于解释本公开，并不构成对本公开的不当限定。在附图中：
图1是根据本公开实施例的负荷均衡方法的流程图；
图2示出了根据公开实施例的负荷均衡方法中的步骤S102的流程图；
图3是根据本公开实施例的负荷均衡装置的示意图；以及
图4是根据本公开实施例的负荷均衡系统架构图。
具体实施方式
以下结合附图对本公开的优选实施例进行详细说明，应当理解，以下所说明的优选实施例仅用于说明和解释本公开，并不用于限定本公开。
在相关技术中，基站中每个小区提供系统资源，并且只在整体业务负荷超限时才和相邻小区(同基站或不同基站的小区)进行负荷均衡。在业务分层的情况下，例如，当小区的整体业务负荷没有超限，而某一特定的分层业务(例如，VoLTE语音业务)超限时，小区将不 会启动负荷均衡，因此，不会将VoLTE语音业务均衡到相邻小区中，从而严重影响用户感知度。
在本公开的实施例中，将业务至少分为普通业务(例如，用户感知度要求较低的业务)、第一类业务(例如，语音业务)和第二类业务(例如，视频业务等多媒体业务)。然而，本公开不限于此，并且可以根据不同的标准和/或需要，对各种业务进行不同方式的划分。
图1是根据本公开实施例的负荷均衡方法的流程图。
如图1所示，根据本公开实施例的负荷均衡方法可以包括步骤S101和S102。
在步骤S101，按照业务属性检测当前小区和相邻小区的负荷。
在步骤S102，在特定业务负荷超过预设门限时，根据所述特定业务选择负荷均衡的目标小区。
步骤S101可以包括：按照业务属性对当前小区和相邻小区的业务负荷分别进行分层检测，以得到当前小区业务的各个分层负荷和相邻小区业务的各个分层负荷。
图2示出了根据公开实施例的负荷均衡方法中的步骤S102的流程图。
如图2所示，步骤S102可以包括：根据当前小区业务的各个分层负荷和各个分层负荷的总体负荷，判断当前小区业务的各个分层负荷和/或总体负荷是否超限(步骤S1021)；在当前小区业务的各个分层负荷中至少有一个分层负荷超限时，从超限的分层负荷所对应的所有用户设备(User Equipment，UE)中选择目标UE，并根据相邻小区业务的各个分层负荷，从所述相邻小区中选择目标小区，以便将所选择的目标UE迁移到所选择的目标小区(步骤S1022)；以及在当前小区业务仅总体负荷超限而各个分层负荷均不超限时，从所有UE中选择目标UE，并根据相邻小区业务的总体负荷，从所述相邻小区中选择目标小区，以便将所选择的目标UE迁移到所选择的目标小区(步骤S1023)。
分层负荷可以包括普通业务负荷、第一类业务负荷和第二类业务负荷，并且总体负荷是普通业务负荷、第一类业务负荷以及第二类 业务负荷的总和。
步骤S1021可以包括：若当前小区业务的第一类业务负荷超过预置的第一负荷门限，则判断当前小区业务的第一类业务负荷超限；若当前小区业务的第二类业务负荷超过预置的第二负荷门限，则判断当前小区业务的第二类业务负荷超限；以及若当前小区业务的总体负荷超过预置的总体负荷门限，则判断当前小区业务的总体负荷超限。
根据本公开上述示例，步骤S1022可以包括：在当前小区业务的第一类业务负荷超限或者在当前小区业务的第一类业务负荷和总体负荷均超限时，从所述当前小区中选择携带服务质量等级标识符(QoS Class Identifier，QCI)为QCI1的承载且不携带QCI2承载的UE作为目标UE；以及根据相邻小区业务的第一类业务负荷，从其第一类业务负荷小于预置第一负荷门限且总体负荷小于预置总体负荷门限的相邻小区中选择第一类业务负荷最低的小区作为目标小区。
根据本公开上述示例，步骤S1022可以包括：在当前小区业务的第二类业务负荷超限或者在当前小区业务的第二类业务负荷和总体负荷均超限时，从所述当前小区中选择携带QCI2承载的UE作为目标UE；以及根据相邻小区业务的第二类业务负荷，从其第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中选择第二类业务负荷最低的小区作为目标小区。
根据本公开上述示例，步骤S1022可以包括：在当前小区业务的第一类业务负荷和第二类业务负荷均超限时，从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE；以及根据相邻小区业务的第一类业务负荷和第二类业务负荷，从其第一类业务负荷小于预置第一负荷门限、第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中，选择第一类业务负荷与第二类业务负荷的加权和最低的小区作为目标小区。
根据本公开上述示例，步骤S1022可以包括：在当前小区业务的第一类业务负荷、第二类业务负荷以及总体负荷均超限时，从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其 次选择携带QCI1承载或携带QCI2承载的UE作为目标UE；以及根据相邻小区业务的第一类业务负荷和第二类业务负荷，从其第一类业务负荷小于预置第一负荷门限、第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中，选择第一类业务负荷、第二类业务负荷和总体负荷的加权和最低的小区作为目标小区。
应当认识到，本公开所述的“从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE”是指，在当前小区中，首先选择同时携带QCI1承载和携带QCI2承载的UE，并将所选择的UE迁移至目标小区，当迁移上述UE后不足以解决当前小区中的分层业务的负荷超限问题时，再在当前小区中，选择携带QCI1承载或携带QCI2承载的UE作为目标UE，以将目标UE迁移至相邻的小区。应当认识到，如果迁移了同时携带QCI1承载和携带QCI2承载的UE后，当前小区中的分层业务的负荷超限问题得到解决，则不需要再选择携带QCI1承载或携带QCI2承载的UE。
图3是根据本公开实施例的负荷均衡装置的示意图。
如图3所示，根据本公开实施例的负荷均衡装置包括检测模块201和判断选择模块202。检测模块201设置为按照业务属性检测当前小区和相邻小区的负荷。选择模块202设置为在特定业务负荷超过预设门限时，根据所述特定业务选择负荷均衡的目标小区。
检测模块201可以设置为按照业务属性对当前小区和相邻小区的业务负荷分别进行分层检测，以得到当前小区业务的各个分层负荷和相邻小区业务的各个分层负荷。
判断选择模块202可以包括负荷判断单元2021和选择单元2022。负荷判断单元2021设置为根据当前小区业务的各个分层负荷和各个分层负荷的总体负荷，判断当前小区业务的各个分层负荷和/或总体负荷是否超限。选择单元2022设置为在当前小区业务的各个分层负荷中至少有一个分层负荷超限时，从超限的分层负荷所对应的所有UE中选择目标UE，并根据相邻小区业务的各个分层负荷，从所述相邻小区中选择目标小区，以便将所选择的目标UE迁移到所选择的目 标小区，并且在当前小区业务仅总体负荷超限而各个分层负荷均不超限时，从所有UE中选择目标UE，并根据相邻小区业务的总体负荷，从所述相邻小区中选择目标小区，以便将所选择的目标UE迁移到所选择的目标小区。
如上所述，分层负荷可以包括普通业务负荷、第一类业务负荷和第二类业务负荷，并且总体负荷是普通业务负荷、第一类业务负荷以及第二类业务负荷的总和。
负荷判断单元2021可以包括第一类负荷判断子单元2021_1、第二负荷判断子单元2021_2和总体负荷判断子单元2021_3。当当前小区业务的第一类业务负荷超过预置的第一负荷门限时，第一类负荷判断子单元2021_1判断当前小区业务的第一类业务负荷超限。当当前小区业务的第二类业务负荷超过预置的第二负荷门限时，第二负荷判断子单元2021_2判断当前小区业务的第二类业务负荷超限。当当前小区业务的总体负荷超过预置的总体负荷门限时，总体负荷判断子单元2021_3判断当前小区业务的总体负荷超限。
选择单元2022可以包括第一选择子单元2022_1、第二选择子单元2022_2和第三选择子单元2022_3。
在当前小区业务的第一类业务负荷超限或者在当前小区业务的第一类业务负荷和总体负荷均超限时，第一选择子单元2022_1从所述当前小区中选择携带QCI1承载且不携带QCI2承载的UE作为目标UE，并且根据相邻小区业务的第一类业务负荷，从其第一类业务负荷小于预置第一负荷门限且总体负荷小于预置总体负荷门限的相邻小区中选择第一类业务负荷最低的小区作为目标小区。
在当前小区业务的第二类业务负荷超限或者在当前小区业务的第二类业务负荷和总体负荷均超限时，第二选择子单元2022_2从所述当前小区中选择携带QCI2承载的UE作为目标UE，并且根据相邻小区业务的第二类业务负荷，从其第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中选择第二类业务负荷最低的小区作为目标小区。
在当前小区业务的第一类业务负荷和第二类业务负荷均超限时， 第三选择子单元2022_3从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE，并且根据相邻小区业务的第一类业务负荷和第二类业务负荷，从其第一类业务负荷小于预置第一负荷门限、第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中，选择第一类业务负荷与第二类业务负荷的加权和最低的小区作为目标小区。
在当前小区业务的第一类业务负荷、第二类业务负荷以及总体负荷均超限时，第三选择子单元2022_3从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE，并且根据相邻小区业务的第一类业务负荷和第二类业务负荷，从其第一类业务负荷小于预置第一负荷门限、第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中，选择第一类业务负荷、第二类业务负荷和总体负荷的加权和最低的小区作为目标小区。
如上所述，本公开所述的“第三选择子单元2022_3从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE”是指，在当前小区中，第三选择子单元2022_3首先选择同时携带QCI1承载和携带QCI2承载的UE，并将所选择的UE迁移至目标小区，当迁移上述UE后不足以解决当前小区中的分层业务的负荷超限问题时，第三选择子单元2022_3再在当前小区中，选择携带QCI1承载或携带QCI2承载的UE作为目标UE，以将目标UE迁移至相邻的小区。应当认识到，如果迁移了同时携带QCI1承载和携带QCI2承载的UE后，当前小区中的分层业务的负荷超限问题得到解决，则第三选择子单元2022_3不需要再选择携带QCI1承载或携带QCI2承载的UE。
根据本公开实施例的负荷均衡方法可以包括以下步骤1至步骤6。
在步骤1，将小区负荷按属性分类识别(即，进行业务分层)，并且设置各层业务的负荷门限和整体负荷门限。整体负荷可以是各分 层业务的负荷总和。
例如，可以根据资源占用情况、系统容量等进行分层。系统能容纳的VoLTE语音业务或VoLTE视频业务是有限的且能够容纳的业务量各不相同。各种不同的业务不能占用全部的系统资源。例如，当小区可以接纳1200个UE的数据业务时，可能只支持其中至多100个用户的VoLTE语音业务，至多50个用户的VoLTE视频业务(或多媒体应用)。
可以将各个数据业务的用户分为普通数据用户、VoLTE语音用户(其携带QCI1承载不携带QCI2承载)、VoLTE视频用户(携带QCI2承载)。然而，本公开不限于此，并且可以根据不同的标准和/或需要，对各种业务的用户进行不同方式的划分。
在步骤2，在基站和基站间传递的消息中增加各小区分层后的各层的负荷信息。
在步骤3，基站定期搜集各小区的各层负荷情况和总体负荷情况，并与周围基站交换关于负荷情况的信息，并在本地维护负荷情况的信息。
在步骤4，检测各小区的整体负荷和/或各分层负荷是否超出相应的门限。
如果VoLTE语音用户的负荷超出门限，则执行步骤5并启动VoLTE语音用户负荷均衡；如果VoLTE视频用户的负荷超出门限，则执行步骤5并启动VoLTE视频用户负荷均衡；如果小区整体负荷超出门限时，则执行步骤5并启动小区整体负荷均衡。
在步骤5，通过UE选择策略及目标小区选择策略来提供各种负荷均衡方式，其包括启动单一负荷均衡、启动两种负荷均衡和启动三种负荷均衡。
启动单一负荷均衡可以包括仅启动VoLTE语音用户负荷均衡、仅启动VoLTE视频用户负荷均衡和仅启动整体负荷均衡。
仅启动VoLTE语音用户负荷均衡可以包括：选择携带QCI1承载且不携带QCI2承载的UE作为目标UE；以及选择其VoLTE语音用户负荷小于第一负荷门限且总的用户负荷小于总负荷门限的小区作为 目标小区。如果有多个满足条件的小区，则按照VoLTE语音用户负荷从低到高进行排序，并选择VoLTE语音用户负荷最低的小区。
仅启动VoLTE视频用户负荷均衡可以包括：选择携带QCI2承载的UE作为目标UE；以及选择其VoLTE视频用户负荷小于第二负荷门限且总的用户负荷小于总负荷门限的小区作为目标小区。如果有多个满足条件的小区，则按照VoLTE视频用户负荷从低到高进行排序，并选择VoLTE视频用户负荷最低的小区。
仅启动整体负荷均衡可以按相关技术中的负荷均衡策略进行选择用户。
启动两种负荷均衡可以包括启动VoLTE语音用户负荷均衡及整体负荷均衡、启动VoLTE视频用户负荷均衡及整体负荷均衡以及启动VoLTE语音用户负荷均衡及VoLTE视频用户负荷均衡。
启动VoLTE语音用户负荷均衡及整体负荷均衡可以包括：选择携带QCI1承载且不携带QCI2承载的UE作为目标UE；以及选择其VoLTE语音用户负荷小于第一负荷门限且总的用户负荷小于总负荷门限的小区作为目标小区。如果有多个满足条件的小区，则按照VoLTE语音用户负荷从低到高进行排序，并选择VoLTE语音用户负荷最低的小区。
启动VoLTE视频用户负荷均衡及整体负荷均衡可以包括：选择携带QCI2承载的UE作为目标UE；以及选择其VoLTE视频用户负荷小于第二负荷门限且总的用户负荷小于总负荷门限的小区作为目标小区。如果有多个满足条件的小区，则按照VoLTE视频用户负荷从低到高进行排序，并选择照VoLTE视频用户负荷最低的小区。
启动VoLTE语音用户负荷均衡及VoLTE视频用户负荷均衡可以包括：首先选择同时携带QCI1及QCI2承载的UE作为目标UE，并其次选择携带QCI1或QCI2的UE作为目标UE；以及选择其VoLTE语音用户负荷小于第一负荷门限、VoLTE视频用户负荷小于第二负荷门限且总的负荷小于总负荷门限的小区作为目标小区。如果有多个满足条件的小区，则计算VoLTE语音用户负荷和VoLTE视频用户负荷的加权和，按照加权和从低到高进行排序，并选择加权和最低的小区。
启动三种负荷均衡可以包括启动VoLTE语音用户负荷均衡、VoLTE视频用户负荷均衡及整体负荷均衡均。首先选择同时携带QCI1及QCI2承载的UE作为目标UE，并其次选择携带QCI1或QCI2的UE作为目标UE。选择其VoLTE语音用户负荷小于第一负荷门限、VoLTE视频用户负荷小于第二负荷门限且总的负荷小于总负荷门限的小区作为目标小区。如果有多个满足条件的小区，则计算VoLTE语音用户负荷、VoLTE视频用户负荷和总负荷的加权和，按照加权和从低到高进行排序，并选择加权和最低的小区。
在步骤6，针对特定的业务分层执行负荷均衡处理，即，通过切换等方式执行UE的迁移。
图4是根据本公开实施例的负荷均衡系统架构图。
如图4所示，每个基站(eNB1或eNB2)可以包括控制模块、分层模块、各个小区以及负荷均衡执行模块。操作维护中心(Operation Maintenance Center，OMC)可以配置或修改每个基站的各个小区的各分层负荷和整体负荷的门限。
控制模块可以执行如下操作：接收本基站的各分层的小区更新通知；汇总消息并通知周围基站；接收周围基站的分层的小区更新消息；通知各对应分层模块并维护各小区的整体负荷门限；监控各小区的整体负荷门限是否超限，并在超限时启动负荷均衡决策；以及接收各分层模块上报的负荷超限信息，并进行负荷均衡决策。
分层模块(在图4中示出为分层一、分层二、分层三)可以执行如下操作：从本基站的各小区获取对应的分层信息并进行维护；当分层的小区信息有更新时通知控制模块；接收控制模块发出的其他基站的各小区的分层信息并进行维护；获取和保存对应的各小区的负荷门限；监控对应的各小区是否超限；以及如果超限，则上报控制模块。
各个小区中的每一个可以汇总本小区的各分层信息，并周期性上报给对应的分层模块。
负荷均衡执行模块可以执行根据本公开的负荷均衡方法。
通过对以上各实施例的描述，本领域的技术人员可以清楚地了解，根据上述实施例的方法可借助软件和通用硬件平台的组合的方式 来实现。当然，所述方法也可以通过硬件来实现。基于这样的理解，本公开的技术方案可以以软件产品的形式实现，所述计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，并包括若干指令以使得一台终端设备(其可以是手机、计算机、服务器、或者网络设备等)执行本公开各个实施例的负荷均衡方法。
上述存储介质可以包括(但不限于)：U盘、只读存储器(Read Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的存储介质。
在本公开实施例中，可由处理器来执行上述实施例记载的负荷均衡方法。
本领域的技术人员应该明白，本公开的上述各单元或各步骤可以利用通用的计算装置来实现，其中，所述计算装置可以集中在单个计算装置上，或者分布在多个计算装置所组成的网络上。根据本公开实施例，本公开的上述各单元或各步骤也可以利用计算装置可执行的程序代码来实现，其中，可以将所述可执行程序代码存储在存储装置中由计算装置来执行。在某些情况下，可以以不同于本文所示出或描述的步骤来执行本公开实施例所描述的方法。本公开不限制于任何特定的硬件和软件结合。
根据本公开实施例提供的方案，将小区负荷根据不同业务进行分层，可以更灵活的适应不同业务类型的业务负荷均衡的情况，达到小区间不同类型业务的均匀分布，缓解服务小区系统调度压力，同时提高数据用户的体验。
尽管上文对本公开进行了详细说明，但是本公开不限于此，本技术领域技术人员可以根据本公开的原理进行各种修改。因此，凡按照本公开原理所作的修改，都应当理解为落入本公开的保护范围。

Claims (20)

  1. 一种负荷均衡方法，包括：
    按照业务属性检测当前小区和相邻小区的负荷；以及
    在特定业务负荷超过预设门限时，根据所述特定业务选择负荷均衡的目标小区。
  2. 根据权利要求1所述的负荷均衡方法，其中，所述按照业务属性检测当前小区和相邻小区的负荷的步骤包括：
    按照业务属性对当前小区和相邻小区的业务负荷分别进行分层检测，以得到当前小区业务的各个分层负荷和相邻小区业务的各个分层负荷。
  3. 根据权利要求2所述的负荷均衡方法，其中，所述在特定业务负荷超过预设门限时，根据所述特定业务选择负荷均衡的目标小区的步骤包括：
    根据当前小区业务的各个分层负荷和各个分层负荷的总体负荷，判断当前小区业务的各个分层负荷和/或总体负荷是否超限；
    在当前小区业务的各个分层负荷中至少有一个分层负荷超限时，从超限的分层负荷所对应的所有用户设备UE中选择目标UE，并根据相邻小区业务的各个分层负荷，从所述相邻小区中选择目标小区，以便将所选择的目标UE迁移到所选择的目标小区；以及
    在当前小区业务仅总体负荷超限而各个分层负荷均不超限时，从所有UE中选择目标UE，并根据相邻小区业务的总体负荷，从所述相邻小区中选择目标小区，以便将所选择的目标UE迁移到所选择的目标小区。
  4. 根据权利要求3所述的负荷均衡方法，其中，所述分层负荷包括普通业务负荷、第一类业务负荷和第二类业务负荷，并且所述总体负荷是普通业务负荷、第一类业务负荷以及第二类业务负荷的总和，
    其中，所述根据当前小区业务的各个分层负荷和各个分层负荷的总体负荷，判断当前小区业务的各个分层负荷和/或总体负荷是否超限的步骤包括：
    若当前小区业务的第一类业务负荷超过预置的第一负荷门限，则判断当前小区业务的第一类业务负荷超限；
    若当前小区业务的第二类业务负荷超过预置的第二负荷门限，则判断当前小区业务的第二类业务负荷超限；以及
    若当前小区业务的总体负荷超过预置的总体负荷门限，则判断当前小区业务的总体负荷超限。
  5. 根据权利要求4所述的负荷均衡方法，其中，所述在当前小区业务的各个分层负荷中至少有一个分层负荷超限时，从超限的分层负荷所对应的所有UE中选择目标UE，并根据相邻小区业务的各个分层负荷，从所述相邻小区中选择目标小区的步骤包括：
    在当前小区业务的第一类业务负荷超限或者在当前小区业务的第一类业务负荷和总体负荷均超限时，从所述当前小区中选择携带服务质量等级标识符QCI为QCI1的承载且不携带QCI2承载的UE作为目标UE；以及
    根据相邻小区业务的第一类业务负荷，从其第一类业务负荷小于预置第一负荷门限且总体负荷小于预置总体负荷门限的相邻小区中选择第一类业务负荷最低的小区作为目标小区。
  6. 根据权利要求4所述的负荷均衡方法，其中，所述在当前小区业务的各个分层负荷中至少有一个分层负荷超限时，从超限的分层负荷所对应的所有UE中选择目标UE，并根据相邻小区业务的各个分层负荷，从所述相邻小区中选择目标小区的步骤包括：
    在当前小区业务的第二类业务负荷超限或者在当前小区业务的第二类业务负荷和总体负荷均超限时，从所述当前小区中选择携带QCI2承载的UE作为目标UE；以及
    根据相邻小区业务的第二类业务负荷，从其第二类业务负荷小 于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中选择第二类业务负荷最低的小区作为目标小区。
  7. 根据权利要求4所述的负荷均衡方法，其中，所述在当前小区业务的各个分层负荷中至少有一个分层负荷超限时，从超限的分层负荷所对应的所有UE中选择目标UE，并根据相邻小区业务的各个分层负荷，从所述相邻小区中选择目标小区的步骤包括：
    在当前小区业务的第一类业务负荷和第二类业务负荷均超限时，从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE；以及
    根据相邻小区业务的第一类业务负荷和第二类业务负荷，从其第一类业务负荷小于预置第一负荷门限、第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中，选择第一类业务负荷与第二类业务负荷的加权和最低的小区作为目标小区。
  8. 根据权利要求4所述的负荷均衡方法，其中，所述在当前小区业务的各个分层负荷中至少有一个分层负荷超限时，从超限的分层负荷所对应的所有UE中选择目标UE，并根据相邻小区业务的各个分层负荷，从所述相邻小区中选择目标小区的步骤包括：
    在当前小区业务的第一类业务负荷、第二类业务负荷以及总体负荷均超限时，从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE；以及
    根据相邻小区业务的第一类业务负荷和第二类业务负荷，从其第一类业务负荷小于预置第一负荷门限、第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中，选择第一类业务负荷、第二类业务负荷和总体负荷的加权和最低的小区作为目标小区。
  9. 根据权利要求4所述的负荷均衡方法，其中，所述普通业务负荷是用户数据负荷，所述第一类业务负荷是基于期演进的语音VoLTE音频业务负荷，并且所述第二类业务负荷是VoLTE视频业务负荷。
  10. 一种负荷均衡装置，包括：
    检测模块，其设置为按照业务属性检测当前小区和相邻小区的负荷；以及
    判断选择模块，其设置为在特定业务负荷超过预设门限时，根据所述特定业务选择负荷均衡的目标小区。
  11. 根据权利要求10所述的负荷均衡装置，其中，所述检测模块设置为：
    按照业务属性对当前小区和相邻小区的业务负荷分别进行分层检测，以得到当前小区业务的各个分层负荷和相邻小区业务的各个分层负荷。
  12. 根据权利要求11所述的负荷均衡装置，其中，所述判断选择模块包括负荷判断单元和选择单元，
    所述负荷判断单元设置为：
    根据所述检测模块检测的当前小区业务的各个分层负荷和各个分层负荷的总体负荷，判断当前小区业务的各个分层负荷和/或总体负荷是否超限，并且
    所述选择单元设置为：
    在当前小区业务的各个分层负荷中至少有一个分层负荷超限时，从超限的分层负荷所对应的所有用户设备UE中选择目标UE，并根据相邻小区业务的各个分层负荷，从所述相邻小区中选择目标小区，以便将所选择的目标UE迁移到所选择的目标小区；以及
    在当前小区业务仅总体负荷超限而各个分层负荷均不超限时，从所有UE中选择目标UE，并根据相邻小区业务的总体负荷，从所述 相邻小区中选择目标小区，以便将所选择的目标UE迁移到所选择的目标小区。
  13. 根据权利要求12所述的负荷均衡装置，其中，所述分层负荷包括普通业务负荷、第一类业务负荷和第二类业务负荷，并且所述总体负荷是普通业务负荷、第一类业务负荷以及第二类业务负荷的总和，
    其中，所述负荷判断单元包括第一类负荷判断子单元、第二负荷判断子单元和总体负荷判断子单元，
    若当前小区业务的第一类业务负荷超过预置的第一负荷门限，则所述第一类负荷判断子单元判断当前小区业务的第一类业务负荷超限，
    若当前小区业务的第二类业务负荷超过预置的第二负荷门限，则所述第二负荷判断子单元判断当前小区业务的第二类业务负荷超限，并且
    若当前小区业务的总体负荷超过预置的总体负荷门限，则所述总体负荷判断子单元判断当前小区业务的总体负荷超限。
  14. 根据权利要求13所述的负荷均衡装置，其中，所述选择单元包括第一选择子单元，
    在当前小区业务的第一类业务负荷超限或者在当前小区业务的第一类业务负荷和总体负荷均超限时，所述第一选择子单元从所述当前小区中选择携带服务质量等级标识符QCI为QCI1的承载且不携带QCI2承载的UE作为目标UE，并且根据相邻小区业务的第一类业务负荷，从其第一类业务负荷小于预置第一负荷门限且总体负荷小于预置总体负荷门限的相邻小区中选择第一类业务负荷最低的小区作为目标小区。
  15. 根据权利要求13所述的负荷均衡装置，其中，所述选择单元包括第二选择子单元，
    在当前小区业务的第二类业务负荷超限或者在当前小区业务的第二类业务负荷和总体负荷均超限时，所述第二选择子单元从所述当前小区中选择携带QCI2承载的UE作为目标UE，并且根据相邻小区业务的第二类业务负荷，从其第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中选择第二类业务负荷最低的小区作为目标小区。
  16. 根据权利要求13所述的负荷均衡方法，其中，所述选择单元包括第三选择子单元，
    在当前小区业务的第一类业务负荷和第二类业务负荷均超限时，所述第三选择子单元从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE，并且根据相邻小区业务的第一类业务负荷和第二类业务负荷，从其第一类业务负荷小于预置第一负荷门限、第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中，选择第一类业务负荷与第二类业务负荷的加权和最低的小区作为目标小区。
  17. 根据权利要求13所述的负荷均衡方法，其中，所述选择单元包括第三选择子单元，
    在当前小区业务的第一类业务负荷、第二类业务负荷以及总体负荷均超限时，所述第三选择子单元从所述当前小区中首先选择同时携带QCI1承载和携带QCI2承载的UE并其次选择携带QCI1承载或携带QCI2承载的UE作为目标UE，并且根据相邻小区业务的第一类业务负荷和第二类业务负荷，从其第一类业务负荷小于预置第一负荷门限、第二类业务负荷小于预置第二负荷门限且总体负荷小于预置总体负荷门限的相邻小区中，选择第一类业务负荷、第二类业务负荷和总体负荷的加权和最低的小区作为目标小区。
  18. 根据权利要求13所述的负荷均衡装置，其中，所述普通业 务负荷是用户数据负荷，所述第一类业务负荷是基于期演进的语音VoLTE音频业务负荷，并且所述第二类业务负荷是VoLTE视频业务负荷。
  19. 一种负荷均衡设备，包括存储器和处理器，所述存储器中存储有程序，当所述程序由所述处理器运行时，使得所述处理器执行根据权利要求1至9中任一项所述的负荷均衡方法。
  20. 一种存储介质，其上存储有程序，当所述程序由处理器运行时，使得所述处理器执行根据权利要求1至9中任一项所述的负荷均衡方法。
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