WO2016184141A1 - Procédé et appareil d'optimisation de cellule adjacente, et support de stockage informatique - Google Patents

Procédé et appareil d'optimisation de cellule adjacente, et support de stockage informatique Download PDF

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Publication number
WO2016184141A1
WO2016184141A1 PCT/CN2016/070723 CN2016070723W WO2016184141A1 WO 2016184141 A1 WO2016184141 A1 WO 2016184141A1 CN 2016070723 W CN2016070723 W CN 2016070723W WO 2016184141 A1 WO2016184141 A1 WO 2016184141A1
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cell
neighboring
parameter
target
optimization
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PCT/CN2016/070723
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English (en)
Chinese (zh)
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陈云霄
王连臣
张立
韩治
周康磊
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中兴通讯股份有限公司
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

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  • the present invention relates to the field of communications technologies, and in particular, to a neighboring cell optimization method and apparatus, and a computer storage medium.
  • Neighbor optimization is an important part of wireless network optimization. If the neighboring area is set incorrectly, it will cause problems such as increased interference, frequent dropped calls, and low connection rate, which seriously affects the user experience.
  • the road test By using the Global Positioning System (GPS), the specific location of the problem can be accurately reflected and the network information such as dropped calls, congestion, and interference can be reflected.
  • GPS Global Positioning System
  • the second is to call the test. By analyzing the connection status and the quality of the call by the tester's subjective assessment, the network problem is analyzed. Although it effectively compensates for the limited limitations of the road test range, there are also a large amount of investment in personnel, vehicles and equipment, which is costly and time consuming. Suitable for solving complaints from key customers.
  • an embodiment of the present invention provides a neighboring area optimization method and apparatus, and a computer storage medium, which are used to solve the problem that the network neighboring area optimization cannot be easily and accurately performed in the prior art.
  • the embodiment of the present invention provides a neighboring cell optimization method, including: acquiring cell configuration parameters in a neighboring cell optimization range; determining, according to the cell configuration parameter, that each cell is relative to a target within the neighboring cell optimization range The neighboring cell priority indicating parameter of the cell; the neighboring cell of the target cell is selected in the cell according to the neighboring cell priority indicating parameter, so that the number of neighboring cells of the target cell is equal to a preset threshold.
  • the cell configuration parameter includes a cell engineering parameter and a user behavior parameter.
  • determining, according to the cell configuration parameter, that the neighboring cell priority indication parameter of each cell relative to the target cell is: determining the designated cell according to the user behavior parameter.
  • the neighboring priority indicator of the neighboring cell is set to level 1.
  • the cell engineering parameter it is determined that the neighboring cell priority indicating parameter of the shared cell of the target cell is level 2 within the optimized range of the neighboring cell;
  • the priority indicated by the neighboring area indication parameter is successively decremented from level 1 to back.
  • determining, according to the cell configuration parameter, that the neighboring cell priority indication parameter of each cell relative to the target cell is further included in the neighboring cell optimization range, according to the cell engineering parameter, Determining a cell distance between each cell and the target cell within the optimization range of the neighboring cell; determining, according to the cell distance, the neighboring cell priority indication parameter of each cell is 3.1 to 3.9.
  • the cell configuration parameter further includes a number of times of switching between each cell and the target cell in a preset time; and determining, according to the cell configuration parameter, that the neighboring area is within an optimized range,
  • the neighboring cell priority indication parameter of the cell relative to the target cell includes: determining, according to the number of the switching times, the neighboring cell priority indication parameter of each cell is 4.1 to 4.9.
  • the method further includes: dividing the cell in the neighboring cell optimization range into the same frequency cell with the same working frequency as the target cell, the working frequency and the target Different inter-frequency cells in the cell, indoor cells located indoors, and outdoor cells located in the outdoor; determining, according to the cell configuration parameters, a neighboring cell priority indication of each cell relative to the target cell in the optimized range of the neighboring cell
  • the parameter includes: determining, in each type of cell after the classification, a neighboring priority indication parameter of each cell in each type of cell relative to the target cell according to the cell configuration parameter, where the parameter is indicated according to the neighboring priority
  • Selecting the neighboring cell of the target cell in the cell includes: selecting a neighboring cell of the target cell in a cell of a preset class according to the neighboring cell priority indication parameter.
  • the method further includes: selecting the neighbor The area is compared with the original neighboring area of the target cell, and the original neighboring area of the target cell is added or deleted according to the comparison result.
  • the embodiment of the present invention further provides a neighboring cell optimization apparatus, including: an acquiring unit, configured to acquire a cell configuration parameter in a range optimization range of a neighboring cell; and a determining unit configured to determine, according to the cell configuration parameter, In the neighborhood optimization range, the neighboring cell priority indication parameter of each cell relative to the target cell; the selecting unit is configured to select the target cell in the each cell according to the neighboring cell priority indication parameter a neighboring area, such that the number of neighboring cells of the target cell is equal to a preset threshold.
  • a neighboring cell optimization apparatus including: an acquiring unit, configured to acquire a cell configuration parameter in a range optimization range of a neighboring cell; and a determining unit configured to determine, according to the cell configuration parameter, In the neighborhood optimization range, the neighboring cell priority indication parameter of each cell relative to the target cell; the selecting unit is configured to select the target cell in the each cell according to the neighboring cell priority indication parameter a neighboring area, such that the number of neighboring cells of the target cell is equal to
  • the cell configuration parameter includes a cell engineering parameter and a user behavior parameter.
  • the determining unit is further configured to: determine, according to the user behavior parameter, a neighboring cell priority indication parameter of the designated cell to be level 1; and determine, according to the cell engineering parameter, the neighboring node In the area optimization area, the neighboring cell priority indication parameter of the co-site cell of the target cell is level 2; wherein the priority indicated by the neighboring area indication parameter is backward by level 1 Sub-declining.
  • the determining unit is further configured to: determine, according to the cell engineering parameter, a cell distance between each cell and the target cell in the optimized range of the neighboring cell; From near to far, determining the neighboring priority indication parameter of each cell is from 3.1 to 3.9.
  • the cell configuration parameter further includes a number of times of switching between each cell and the target cell in a preset time; the determining unit is further configured to determine, according to the number of times of the switching,
  • the neighboring priority indication parameters of each cell are 4.1 to 4.9.
  • the neighboring area optimization apparatus further includes: a classification unit configured to determine, within the optimized range of the neighboring area, according to the cell configuration parameter after acquiring a cell configuration parameter in a range optimization range of the neighboring area Before the neighboring cell priority indicating parameter of each cell is compared with the target cell, the cell in the neighboring cell optimization range is divided into the same frequency cell whose working frequency is the same as the target cell, and the working frequency is different from the target cell.
  • a classification unit configured to determine, within the optimized range of the neighboring area, according to the cell configuration parameter after acquiring a cell configuration parameter in a range optimization range of the neighboring area Before the neighboring cell priority indicating parameter of each cell is compared with the target cell, the cell in the neighboring cell optimization range is divided into the same frequency cell whose working frequency is the same as the target cell, and the working frequency is different from the target cell.
  • the inter-frequency cell, the indoor cell located indoors, and the outdoor cell located in the outdoor; the determining unit is further configured to determine, according to the cell configuration parameter, each cell in each type of cell in each of the classified cells.
  • the neighboring cell priority indicating parameter of the target cell; the selecting unit is further configured to: select, according to the neighboring cell priority indicating parameter, a neighboring cell of the target cell in a preset class of cells.
  • the neighboring cell optimization apparatus further includes a comparing unit configured to select the neighboring cell and the target after selecting a neighboring cell of the target cell in each of the cells. Comparing the original neighboring cells of the cell, the original neighboring cell of the target cell is added or deleted according to the comparison result.
  • an embodiment of the present invention further provides a computer storage medium.
  • the computer storage medium provided by the embodiment of the present invention stores a computer program, where the computer program is used to execute the neighboring area optimization method.
  • the neighboring area optimization method and device and the computer storage medium provided by the embodiments of the present invention can obtain And determining, according to the cell configuration parameter, a neighboring cell priority indicating parameter of each cell relative to the target cell according to the cell configuration parameter; and then, according to the neighboring cell priority And indicating a parameter, selecting a neighboring cell of the target cell in each of the cells, so that the number of neighbor cells of the target cell is equal to a preset threshold. In this way, it is possible to determine whether each cell can become a neighboring cell of the target cell according to the neighboring cell priority indication parameter of each cell, and to conveniently and accurately optimize the network neighboring cell.
  • FIG. 1 is a flowchart of a neighboring cell optimization method according to an embodiment of the present invention
  • FIG. 2 is another flowchart of a neighboring cell optimization method according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a neighboring cell optimization apparatus according to an embodiment of the present invention.
  • an embodiment of the present invention provides a neighboring cell optimization method, including:
  • the neighboring cell optimization method can obtain the cell configuration parameter in the optimization range of the neighboring cell, and determine, according to the cell configuration parameter, that the neighboring cell of each cell is prior to the target cell within the optimized range of the neighboring cell. And indicating a parameter of the neighboring cell, and selecting a neighboring cell of the target cell in the cell according to the neighboring cell priority indicating parameter, so that the number of neighboring cells of the target cell is equal to a preset threshold. In this way, it is possible to determine the parameters according to the neighboring priority of each cell. Determine whether each cell can become the neighboring cell of the target cell, and easily and accurately optimize the network neighborhood.
  • the cell configuration parameter may include a cell engineering parameter and a user behavior parameter.
  • the cell engineering parameter records some basic information when the base station and the cell are set, and can be used to determine whether any two cells are a co-site cell, a co-frequency or an inter-frequency, and a distance between two cells.
  • the user behavior parameter refers to some user-defined or operation of the cell configuration.
  • the user can list the neighboring whitelist and the neighboring blacklist. Among them, the neighboring whitelist can list the number of occurrences of switching, but the neighboring areas with important switching relationships (such as highways, high-speed railways, etc.) are included. When the system is doing neighborhood optimization analysis, it will not propose deletions for these neighboring areas.
  • neighboring areas that are prone to ping-pong switching, over-coverage, and signal interference, they can be included in the blacklist of neighboring areas that cannot be set up in the neighboring area.
  • the system will not change the number of times when it performs neighboring area optimization analysis. Higher and recommended to increase. If such a neighbourhood is already configured on the live network, a proposal for deletion will be made.
  • determining, according to the cell configuration parameter, that the neighboring cell priority indication parameter of each cell relative to the target cell may include:
  • the priority indicated by the neighboring indication parameter is decremented from the first level to the second.
  • the target cell is the cell 8
  • the user behavior parameters acquired in step S11 are the neighboring whitelist and the neighboring blacklist.
  • the neighboring whitelist includes the cell 78 and the cell 56
  • the neighboring blacklist includes the 121 cell.
  • the neighboring cell priority indication parameter of the cell 78, the cell 56, and the cell 121 determined according to the user behavior parameter with respect to the target cell cell 8 is level 1.
  • the cell engineering parameter acquired in step S11 further includes the base station number to which each cell belongs, wherein the cell 42, the cell 15, the cell 9 and the cell 8 belong to the same base station, and the neighboring areas of the cell 42, the cell 15, and the cell 9 are prioritized.
  • the level indication parameter is set to level 2.
  • the neighboring cell of the target cell is selected in the cells according to the neighboring cell priority indication parameter, so that the number of neighbor cells of the target cell is equal to a preset threshold.
  • the preset threshold of the number of neighboring cells of the target cell 6 is 2, the cell 78 and the cell 56 whose neighboring cell priority indication parameter is level 1 is listed as a neighboring cell, and the cell 121 Listed as non-contiguous areas. If the preset threshold of the number of neighboring cells of the target cell 8 is 5, the cell 78, the cell 56, and the neighboring cell with the neighboring priority indicating parameter of the level 2 are the level 42 and the cell And the cell 9 is listed as a neighboring area. If the preset threshold of the number of neighboring cells of the target cell 6 is 4, then two of the cells whose neighboring priority indicating parameter is level 2 may be selected as the neighboring cell.
  • step S12 according to the cell configuration parameter, determining a neighboring cell of each cell relative to the target cell according to the neighboring cell optimization range
  • the priority indication parameters may also include:
  • the neighboring priority indication parameter of each cell is determined to be 3.1 to 3.9 according to the distance of the cell from near to far.
  • the cell engineering parameter includes the cell distance between each cell and the target cell 6 , where the cell distance between the cell 1 and the cell 8 is 15 meters, and the cell distance between the cell 2 and the cell 8 is 100 meters, and the cell 3 and the cell 8 are The cell distance is 60 meters, and the cell distance between cell 4 and cell 8 is 500 meters.
  • the neighboring cell priority indication parameter of the cell 1 is 3.1
  • the neighboring cell priority indicating parameter of the cell 2 is 3.3
  • the neighboring cell priority indicating parameter of the cell 3 is 3.2.
  • the neighboring cell priority indication parameter of cell 4 is 3.9.
  • the neighboring priority indication may be continued.
  • the cells with parameters of 3.1, 3.2, etc. are also sequentially included in the neighboring cells of the target cell. It should be noted that adjacent The distance between the two levels may be equal or unequal, and may be set according to actual needs, and the embodiment of the present invention is not limited thereto.
  • the cell configuration parameter may include, in addition to the cell engineering parameter and the user behavior parameter, the number of times of switching between each cell and the target cell in a preset time;
  • the number of handovers can be obtained by an event type measurement report.
  • the event-based measurement report may be specifically formed by the UE continuously measuring downlink reception level, reception quality, and reception level of the neighboring cell during the call, and transmitting the information through the uplink. Send to the base station, summarize by the base station, and output a complete measurement report.
  • determining, according to the cell configuration parameter, that the neighboring cell priority indication parameter of each cell relative to the target cell may include: At least, determining the neighboring priority indication parameter of each cell is 4.1 to 4.9. In this way, the cell with a large number of handovers indicates that the cell has a relatively frequent service handover with the target cell, and the neighboring cell priority indication parameter of the cell may be set to a higher priority, and vice versa.
  • the cell with the highest level is preferentially used as the neighboring cell of the target cell, and the sample missing, mismatching, and mutual matching can be measured at multiple frequencies, thereby being simple and precise. Perform network neighborhood optimization.
  • the neighboring cell in order to perform a more detailed neighborhood configuration on the target cell, in an embodiment of the present invention, after acquiring the cell configuration parameter in the optimization range of the neighboring cell, determining, according to the cell configuration parameter, The neighboring cell is in the range of the neighboring cell, and the cell in the neighboring cell optimization range is divided into the same working frequency as the target cell. a frequency cell, an inter-frequency cell whose working frequency is different from the target cell, an indoor cell located indoors, and an outdoor cell located outdoors;
  • the neighboring cell priority indication parameter of each cell with respect to the target cell includes: determining, in each type of cell after classification, a neighboring cell priority indication parameter of each cell in each type of cell relative to the target cell according to the cell configuration parameter ;
  • Selecting the neighboring cell of the target cell in the cell according to the neighboring cell priority indicating parameter includes: selecting, according to the neighboring cell priority indicating parameter, the selected cell in the preset category The neighborhood of the target cell.
  • a preset number of co-frequency neighboring cells, inter-frequency neighboring cells, indoor neighboring cells, and outdoor neighboring cells can be selected for the target cell, thereby more effectively achieving neighbor cell optimization of the target cell.
  • the method further includes: selecting the neighbor The area is compared with the original neighboring area of the target cell, and the original neighboring area of the target cell is added or deleted according to the comparison result.
  • the neighboring area optimization planning template table can be generated according to the format of the user template. The subsequent network optimization engineers can directly use the optimization result to automatically adjust the existing neighboring area configuration, and no need to manually modify one by one.
  • the cell engineering parameters and the black and white list of the matching cell are periodically imported for different neighborhood optimization ranges, and the event type measurement report collected in real time is analyzed according to the wireless optimized configuration parameters collected at the time. Finally, the analysis results are presented to the user in a visual manner such as tables and legends, and a solidification saving function is provided for later viewing.
  • the method may include the following steps:
  • S201 Import the cell engineering parameters of the neighborhood optimization range. If the cell engineering parameters have not changed, the step may be performed once.
  • S203 Collect existing neighbor configuration parameters periodically.
  • the relationship between the base station, the primary cell, and the neighboring cell can be as shown in Table 1.
  • the Server eNodeBID is the serving base station identifier
  • the Server CellID is For the serving cell identity
  • the Neighbor CellID is the neighbor cell identifier
  • the Neighbor eNodeBID is the corresponding neighbor base station identifier.
  • S204 Collect event-type measurement reports in real time, and perform real-time or periodic analysis according to user requirements.
  • step S205 According to the cell engineering parameter, the cells in the target area are classified into four types according to the same frequency, different frequency, indoor, and outdoor, and step S206 to step S208 are sequentially performed for each type.
  • S206 According to whether it exists in the blacklist or whitelist, whether it is a co-site cell, and the distance between the cell pairs is near and far, and setting a neighboring cell priority indication parameter for each cell, indicating that each cell becomes a neighboring cell Priority.
  • S208 Sort the neighboring cell priority indication parameters of the cell. If the same cell appears in multiple priority rankings, select the one with the highest priority as the description of the primary neighbor relationship.
  • S209 According to the threshold number of each type of neighboring cells set by the user, and the requirements for attributes such as distance and switching, combine the results of the four data sets after performing S208, and give the primary neighbor according to the priority and the threshold. Suggestions for additions and deletions to the relationship, including which neighboring areas have been missed, and which neighboring areas have been mismatched. If there is an interoperability requirement in some target areas, then the neighborhood optimization proposal under the interworking requirement is given.
  • step S210 The neighboring area addition and deletion suggestions analyzed in step S209 are presented to the user in the form of a table and a geographical legend, and can distinguish the same frequency, the indoor and outdoor neighboring areas.
  • an embodiment of the present invention further provides a neighboring area optimization apparatus, including:
  • the obtaining unit 31 is configured to acquire a cell configuration parameter in a neighboring area optimization range
  • the determining unit 32 is configured to determine, according to the cell configuration parameter, a neighboring priority indication parameter of each cell relative to the target cell in the optimized range of the neighboring cell;
  • the selecting unit 33 is configured to select a neighboring cell of the target cell in the cells according to the neighboring cell priority indicating parameter, so that the number of neighboring cells of the target cell is equal to a preset threshold.
  • the acquiring unit 31 can obtain the cell configuration parameter in the neighborhood optimization range, and the determining unit 32 can determine, according to the cell configuration parameter, that the cell is in the optimized range of the neighboring cell, a neighboring cell priority indicating parameter of the target cell; the selecting unit 33 can select a neighboring cell of the target cell in the neighboring cell according to the neighboring cell priority indicating parameter, so that the neighboring cell of the target cell The number is equal to the preset threshold. In this way, it is possible to determine whether each cell can become a neighboring cell of the target cell according to the neighboring cell priority indication parameter of each cell, and to conveniently and accurately optimize the network neighboring cell.
  • the cell configuration parameter may include a cell engineering parameter and a user behavior parameter.
  • the determining unit 32 is further configured to:
  • the priority indicated by the neighboring indication parameter is decremented from the first level to the second.
  • the determining unit 32 is further configured to:
  • the neighboring priority indication parameter of each cell is determined to be 3.1 to 3.9 according to the distance of the cell from near to far.
  • the cell configuration parameter further includes a number of times of switching between the cell and the target cell in a preset time; the determining unit 32 is further configured to determine the number according to the number of the switching times.
  • the neighboring priority indication parameters of each cell are from 4.1 to 4.9.
  • the neighboring area optimization apparatus may further include: a classification unit configured to: after acquiring the cell configuration parameter in the optimization range of the neighboring area, determine, according to the cell configuration parameter, the optimization in the neighboring area In the range, before the neighboring cell priority indicating parameter of each cell relative to the target cell, the cell in the neighboring cell optimization range is divided into the same frequency cell whose working frequency is the same as the target cell, the working frequency and the target a different inter-frequency cell in the cell, an indoor cell located in the indoor area, and an outdoor cell located in the outdoor; the determining unit 32 is further configured to: in each type of the classified cell, determine each cell in each type of cell according to the cell configuration parameter The neighboring cell priority indicating parameter with respect to the target cell; the selecting unit 33 is further configured to select the neighboring cell of the target cell in the cell of the preset class according to the neighboring cell priority indicating parameter.
  • a classification unit configured to: after acquiring the cell configuration parameter in the optimization range of the neighboring area, determine, according to the cell configuration parameter, the
  • the neighboring cell optimization apparatus may further include: a comparing unit configured to select the neighboring cell and the target cell after selecting the neighboring cell of the target cell in each of the cells Compared with the original neighboring area, the original neighboring area of the target cell is added or deleted according to the comparison result.
  • each unit in the neighboring area optimization apparatus may be implemented by a central processing unit (CPU) or a microprocessor (Micro Processor Unit, MPU) located in the neighboring area optimization apparatus. ), or a digital signal processor (DSP), or a Field Programmable Gate Array (FPGA).
  • CPU central processing unit
  • MPU Micro Processor Unit
  • DSP digital signal processor
  • FPGA Field Programmable Gate Array
  • the apparatus for tracking the service signaling may also be stored in a computer readable storage medium if it is implemented in the form of a software function module and sold or used as a separate product.
  • the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including a plurality of instructions.
  • a computer device (which may be a personal computer, server, or network device, etc.) is caused to perform all or part of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • program codes such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • the embodiment of the present invention further provides a computer storage medium, wherein a computer program is stored, and the computer program is used to execute the neighboring area optimization method of the embodiment of the present invention.
  • the technical solution of the embodiment of the present invention can obtain the cell configuration parameter in the optimization range of the neighboring cell, and determine, according to the cell configuration parameter, the neighboring cell priority indication parameter of each cell relative to the target cell in the optimized range of the neighboring cell. Then, the neighboring cell of the target cell is selected in the cells according to the neighboring cell priority indicating parameter, so that the number of neighboring cells of the target cell is equal to a preset threshold. In this way, it is possible to determine whether each cell can become a neighboring cell of the target cell according to the neighboring cell priority indication parameter of each cell, and to conveniently and accurately optimize the network neighboring cell.

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Abstract

La présente invention concerne un procédé et un appareil d'optimisation de cellule adjacente, et un support de stockage informatique. Le procédé consiste à : acquérir des paramètres de configuration de cellule dans une zone d'optimisation de cellule adjacente ; d'après les paramètres de configuration de cellule, déterminer des paramètres d'indication de priorité de cellule adjacente, correspondant à une cellule cible, de diverses cellules dans la zone d'optimisation de cellule adjacente ; d'après les paramètres d'indication de priorité de cellule adjacente, sélectionner des cellules adjacentes de la cellule cible parmi les diverses cellules, de sorte que le nombre de cellules adjacentes de la cellule cible soit égal à un seuil prédéfini.
PCT/CN2016/070723 2015-11-17 2016-01-12 Procédé et appareil d'optimisation de cellule adjacente, et support de stockage informatique WO2016184141A1 (fr)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108271183A (zh) * 2016-12-30 2018-07-10 中国移动通信集团内蒙古有限公司 一种基于原始测量报告的邻区优化方法及装置
WO2019007386A1 (fr) * 2017-07-06 2019-01-10 Huawei Technologies Co., Ltd. Optimisation de réseaux cellulaires à l'aide d'un apprentissage profond

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108111248B (zh) * 2017-12-29 2019-06-18 广州市贝讯通信技术有限公司 一种大气波导干扰优化方法和系统

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110092195A1 (en) * 2009-10-16 2011-04-21 Osama Hussein Self-optimizing wireless network
CN104349351A (zh) * 2013-07-29 2015-02-11 中国移动通信集团广东有限公司 一种基于网络通信的邻区优化方法和装置
CN104427531A (zh) * 2013-08-29 2015-03-18 中国移动通信集团浙江有限公司 一种邻区优化方法及装置
CN104936198A (zh) * 2014-03-17 2015-09-23 电信科学技术研究院 一种确定邻区关系的方法和装置

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101039160B (zh) * 2006-03-17 2011-04-06 华为技术有限公司 共享控制信道资源的复用系统、方法及其接收设备
US8320924B2 (en) * 2006-05-25 2012-11-27 Nokia Corporation Interference control in a communication system
CN100546405C (zh) * 2006-05-29 2009-09-30 大唐移动通信设备有限公司 一种生成邻小区的方法
CN101001471A (zh) * 2007-01-25 2007-07-18 华为技术有限公司 一种邻区优化处理方法及其系统
CN101115273B (zh) * 2007-08-16 2010-05-26 中讯邮电咨询设计院 用于移动蜂窝网络的邻小区规划方法
CN101321090A (zh) * 2008-07-03 2008-12-10 中兴通讯股份有限公司 性能数据的统计方法和装置
CN101459916B (zh) * 2009-01-05 2010-09-22 普天信息技术研究院有限公司 一种确定邻区优先级的方法
JP2011066874A (ja) * 2009-08-17 2011-03-31 Sony Corp 通信システム、通信装置及び通信方法、並びにコンピューター・プログラム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110092195A1 (en) * 2009-10-16 2011-04-21 Osama Hussein Self-optimizing wireless network
CN104349351A (zh) * 2013-07-29 2015-02-11 中国移动通信集团广东有限公司 一种基于网络通信的邻区优化方法和装置
CN104427531A (zh) * 2013-08-29 2015-03-18 中国移动通信集团浙江有限公司 一种邻区优化方法及装置
CN104936198A (zh) * 2014-03-17 2015-09-23 电信科学技术研究院 一种确定邻区关系的方法和装置

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108271183A (zh) * 2016-12-30 2018-07-10 中国移动通信集团内蒙古有限公司 一种基于原始测量报告的邻区优化方法及装置
CN108271183B (zh) * 2016-12-30 2021-08-10 中国移动通信集团内蒙古有限公司 一种基于原始测量报告的邻区优化方法及装置
WO2019007386A1 (fr) * 2017-07-06 2019-01-10 Huawei Technologies Co., Ltd. Optimisation de réseaux cellulaires à l'aide d'un apprentissage profond
US10334456B2 (en) 2017-07-06 2019-06-25 Futurewei Technologies, Inc. Optimizing cellular networks using deep learning

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