CN102958082A - Network optimization analysis method and system - Google Patents
Network optimization analysis method and system Download PDFInfo
- Publication number
- CN102958082A CN102958082A CN2012105222945A CN201210522294A CN102958082A CN 102958082 A CN102958082 A CN 102958082A CN 2012105222945 A CN2012105222945 A CN 2012105222945A CN 201210522294 A CN201210522294 A CN 201210522294A CN 102958082 A CN102958082 A CN 102958082A
- Authority
- CN
- China
- Prior art keywords
- network
- data
- service data
- collection station
- optimization platform
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Mobile Radio Communication Systems (AREA)
- Small-Scale Networks (AREA)
Abstract
The invention discloses a network optimization analysis method, comprising the following steps that: a data collection terminal monitors the running condition of each access point AP in a wireless local area network WLAN coverage area in real time and sends the monitored AP running data to a network optimization platform when abnormality occurs in the network; and the network optimization platform analyzes AP running data and judging whether each performance indicator meets the standard according to the set network performance criteria, classifies problems in the network and obtains the solution corresponding to each type of problem according to the analysis results of the AP running data, and then converts the solution into an optimization instruction to be sent to the corresponding AP for self adjustment, or sent to a network maintenance terminal. With the embodiment of the invention, the network fault and hidden dangers can be timely found, the network is automatically optimized, and the network performance is improved.
Description
Technical field
The present invention relates to communication technical field, relate in particular to a kind of network optimization analytical method and system.
Background technology
In recent years, rapid growth along with the mobile subscriber, the user is more and more higher to the requirement of network communication quality, and mobile operator has also carried out to improve user perceptibility as the network optimization work of target on a large scale, and has proposed the appraisal standards to every leading indicator.In the future, it is inadequate that most of hot zones only has one or two or three WLAN (Wireless Local Area Networks is called for short WLAN) access points (Access Point is called for short AP).Therefore in the area of heavy traffic, need to arrange the micro radio network that can satisfy the service bandwidth demand.The characteristics of this network are: the number of Network Access Point AP is many, and the location comparison of AP is uncertain, and can increase as required, minimizing or mobile node.
Because the AP number is many, and available frequency range relatively less (separate glitch-free frequency range only has 3 in the 802.11b/g standard) therefore, will exist co-channel interference or adjacent frequently interference between the part AP.How dividing frequency and power resource between AP are the key technologies that WLAN (wireless local area network) must solve so that the interference between AP is minimum, capacity is maximum, wireless lan network optimisation technique that Here it is.Wireless lan network optimization refers to the wlan network that has put into operation is carried out targetedly business survey and performance evaluation, find out defective and the deficiency of network by ways such as parameter acquisition, data analyses, thereby the proposition prioritization scheme also puts into practice, make conventional network resources obtain optimum efficiency, realize the sustainable development of Network scale and quality.
Existing radio network optimization analysis mainly is that wireless network coverage area is carried out the hauling type drive test, and manual dialing test and record test data, then road test data is analyzed, manually carry out and analyze main dependence, rule of thumb test data is analyzed by the engineering staff, orient the problem that may exist, propose solution.Afterwards network is tested adjustment, and carry out check analysis, this process is carried out repeatedly until problem solves.
Because network is intricate, network optimization workload is very heavy, needs to drop into a large amount of network optimization technical staff.When hidden danger and fault occurring, adopt Traditional Man to fix a breakdown not only not comprehensively accurately, and efficient is low, can't timely and effectively fix a breakdown, time-consuming, the cost of network operation and optimization is very high.In addition, can not carry out Real Time Monitoring to the ruuning situation of communication network, bring huge challenge for network operation and Optimization Work.
Summary of the invention
The embodiment of the invention proposes a kind of network optimization analytical method and system, and fault and the hidden danger of in time discovering network existence realize the network Automatic Optimal, improve network performance.
The embodiment of the invention provides a kind of network optimization analytical method, comprising:
The ruuning situation of each access point AP in S1, the data collection station real time monitoring wireless LAN WLAN coverage territory sends the AP service data that monitors to network optimization platform when the network abnormal;
S2, described network optimization platform are analyzed described AP service data according to the network performance judgment criteria of setting, and judge whether the property indices of network meets standard;
S3, described network optimization platform sort out the problem that network exists according to the analysis result of described AP service data, obtain solution corresponding to every class problem;
S4, described network optimization platform are converted to the optimization instruction with described solution, send to corresponding AP and carry out self-adjusting, perhaps described optimization instruction are sent to the network operation terminal.
Correspondingly, the embodiment of the invention also provides a kind of network system, comprising: network optimization platform, data collection station and at least one access point AP;
Described data collection station comprises:
Data acquisition module for the ruuning situation of real time monitoring wireless LAN WLAN coverage territory each access point AP, sends the AP service data that monitors to network optimization platform when the network abnormal;
Described network optimization platform comprises:
Data analysis module is used for according to the network performance judgment criteria of setting described AP service data being analyzed, and judges whether the property indices of network meets standard;
The Question Classification module is used for the analysis result according to described AP service data, and the problem that network exists is sorted out, and obtains solution corresponding to every class problem; With,
Optimize and revise module, be used for described solution is converted to the optimization instruction, send to corresponding AP and carry out self-adjusting, perhaps described optimization instruction is sent to the network operation terminal.
Network optimization analytical method and system that the embodiment of the invention provides, at the hot spot region of WLAN configuration data acquisition terminal, the ruuning situation of Real-Time Monitoring AP, when the network abnormal, in time the AP service data that monitors is sent to the network optimization system on backstage, by network optimization system network performance is analyzed and optimized and revised.The present invention can in time find fault and the hidden danger that wlan network exists, and realizes the network Automatic Optimal, improves network performance, ensures efficient and the effect of the network optimization.The test optimization work of network improves the quality of networking before the present invention can effectively solve networking, in the networking and after the networking.
Description of drawings
Fig. 1 is the structural representation of an embodiment of network system provided by the invention;
Fig. 2 is the schematic flow sheet of an embodiment of network optimization analytical method provided by the invention;
Fig. 3 is the structural representation of another embodiment of network system provided by the invention;
Fig. 4 is the structural representation of an embodiment of data acquisition module provided by the invention;
Fig. 5 is the structural representation of another embodiment of data acquisition module provided by the invention;
Fig. 6 is the structural representation of an embodiment of data analysis module provided by the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
Referring to Fig. 1, it is the structural representation of an embodiment of network system provided by the invention.
The invention provides a kind of network system, comprise network optimization platform, data collection station and at least one access point AP.
Data collection station can be when arranging net and access point AP be installed in simultaneously the hot spot region; Also can after the network laying is finished, be installed in data collection station the hot spot region at AP place, real time monitoring network ruuning situation.
In an optional execution mode, data collection station is connected cable network with network optimization platform and connects, and AP to also with network optimization platform be to connect by cable network.Data collection station has the collection port of wireless network data simultaneously, can gather receiving and sending messages of AP by wireless mode.
In AP when operation start, can be issued wireless signal towards periphery, becomes the beacon of AP, comprises the relevant information of this AP in this beacon frame: SSID(Service Set Identifier, service set), place channel etc.Data collection station has the wireless collection port, can detect simultaneously the WLAN wireless signal of region in conjunction with software, such as the number of the AP that moves in the hot spot region, channel allocation situation, signal strength signal intensity and the signal disturbed condition etc. of each AP.If certain AP is start not, then data collection station can't detect the existence of this AP.
Wherein, AP and data collection station directly do not carry out interactive communication, both by network optimization platform Long-distance Control.
Referring to Fig. 2, it is the schematic flow sheet of an embodiment of network optimization analytical method provided by the invention.
The invention provides a kind of network optimization analytical method, comprise step S1 ~ S4, as follows:
The ruuning situation of each access point AP in S1, the data collection station real time monitoring wireless LAN WLAN coverage territory sends the AP service data that monitors to network optimization platform when the network abnormal.
Wherein, described AP service data comprises the number of the AP that moves in the WLAN coverage territory, channel allocation situation, signal strength signal intensity and the signal disturbed condition of each AP.
In an optional execution mode, data collection station disposes the Network Abnormal judgment criteria, unusual foundation whether occurs as the preliminary judgement network.
Described step S1 specifically comprises:
After installing, described data collection station by the beacon frame of AP in the described hot spot region of wireless collection port Real-Time Monitoring, obtains the AP service data;
Described data collection station is according to the Network Abnormal judgment criteria of described AP service data and setting, judges whether abnormal of network;
Described data collection station sends to described network optimization platform by cable network with described AP service data when the network abnormal.
In another optional execution mode, the user is in using the process of wlan network, and discovering network occurs when unusual, to network O﹠M personnel feedback.Network optimization platform receives network O﹠M personnel's network monitor order, issues data to data collection station and sends instruction, to indicate described data collection station feedback AP service data.
Described step S1 specifically comprises:
After installing, described data collection station by the beacon frame of AP in the described hot spot region of wireless collection port Real-Time Monitoring, obtains the AP service data;
Data collection station receives the data transmission instruction that network optimization platform issues; It is that described network optimization platform is after the Network Abnormal information that receives network O﹠M personnel feedback that described data send instruction, order to described data collection station issues sends to network optimization platform to indicate described data collection station with the AP service data that monitors;
Described data collection station sends to described network optimization platform by cable network with described AP service data.
Need to prove, in embodiments of the present invention, described data collection station at ordinary times Real-Time Monitoring gathers AP service data in the WLAN coverage territory, can all not be transmitted to network optimization platform with monitoring the AP service data.Described data collection station only has when occurring according to the Network Abnormal judgment criteria decision network of setting when unusual, perhaps when receiving the data transmission instruction that network optimization platform issues, just the AP service data that gathers in a period of time is sent to network optimization platform.Wherein, the setting of this time period can adjust according to the real network situation.
S2, described network optimization platform are analyzed described AP service data according to the network performance judgment criteria of setting, and judge whether the property indices of network meets standard.
S3, described network optimization platform sort out the problem that network exists according to the analysis result of described AP service data, obtain solution corresponding to every class problem.
Concrete, because the index of WLAN network operation mainly contains: AP signal strength signal intensity, signal to noise ratio, authentication success rate, user's drop rate, throughput, the error rate, network delay, packet loss etc., so the problem that network exists can be according to above-mentioned performance index classification.
S4, described network optimization platform are converted to the optimization instruction with described solution, send to corresponding AP and carry out self-adjusting, perhaps described optimization instruction are sent to the network operation terminal.
Wherein, dispose database in the described network optimization platform, described database stores choosing of each network performance index and corresponding network performance judgment criteria; Described network performance index comprises at least one in AP signal strength signal intensity, signal to noise ratio, authentication success rate, user's drop rate, throughput, the error rate, network delay and the packet loss.During implementation, each network performance index choose and the foundation of the formulation of judgment criteria is the various technical specifications that operator formulates, can ensure choosing and the science of judgment criteria, comprehensively, accurately of index.
Described network optimization platform is handled as follows: described AP service data is analyzed, the network performance judgment criteria in every network performance index and the database is compared after receiving the AP service data of data collection station transmission; When every network performance index meets judgment criteria, judge that wlan network does not occur unusually; When at least one network performance index do not meet judgment criteria, judge that wlan network occurs unusual.For example, the average signal-to-noise ratio that detects network is 23dB, and standard value is 20db, and then this index does not meet the demands, and need to adjust this.
In the middle of implementation, unusual even network does not occur, also can be optimized network, make network performance better.For example, adjust network, make network performance meet certain carrier network acceptance criteria, be not less than-70dBm such as main overlay area signal strength signal intensity, general overlay area signal strength signal intensity is not less than-75dBm, and packet loss is not higher than 5% etc.
Solution to optimizing network performance is divided into two kinds: a kind of is will optimize instruction by network to send to AP, and indication AP carries out self-adjusting, such as the power of adjusting AP, channel etc.For example, when customer access network speed is very slow, find out reason according to performance index, again plan channel or suitably reduce the AP transmitting power; Another kind is will optimize instruction by network to send to the network operation terminal, and the notice engineering maintenance personnel adjust network performance, as adjusting the AP position, increasing AP quantity etc.
Below in conjunction with specific embodiment, network optimization analytical method provided by the invention is described.
As shown in Figure 2, local area network (LAN) comprises that two AP(are respectively AP1, AP2), data acquisition terminal and four subscriber equipmenies (being respectively STA1, STA2, STA3, STA4).
The ruuning situation of data collection station Real-Time Monitoring AP1 and AP2 if network normally moves, does not then send the AP service data to network optimization platform.
When data collection station finds that the throughput of AP1 obviously descends, by cable network this situation is fed back to network optimization platform, detect simultaneously the relevant information of AP1: signal strength signal intensity, access user quantity etc., and the relevant information of AP1 sent to network optimization platform.
Network optimization platform judges the problem that network occurs, and provides concrete optimal solution according to the relevant information of the AP1 that receives, such as the wireline interface bandwidth that improves AP1, limited subscriber quantity etc., to improve the throughput of AP1.
Referring to Fig. 3, it is the structural representation of another embodiment of network system provided by the invention.
The embodiment of the invention also provides a kind of network system, can realize all flow processs of the network optimization analytical method in above-described embodiment.Described network system comprises: network optimization platform, data collection station and at least one access point AP.
Described data collection station comprises:
Described network optimization platform comprises:
Optimize and revise module 34, be used for described solution is converted to the optimization instruction, send to corresponding AP and carry out self-adjusting, perhaps described optimization instruction is sent to the network operation terminal.
Wherein, described AP service data comprises the number of the AP that moves in the WLAN coverage territory, channel allocation situation, signal strength signal intensity and the signal disturbed condition of each AP.
Described data collection station is installed in the hot spot region at AP place; Issue towards periphery beacon frame during described AP start operation; Described beacon frame comprises service set and the place channel information of AP.
In an optional execution mode, data collection station disposes the Network Abnormal judgment criteria, unusual foundation whether occurs as the preliminary judgement network.
As shown in Figure 4, described data acquisition module 31 specifically comprises:
AP monitoring means 41 is used for the beacon frame by AP in the described hot spot region of wireless collection port Real-Time Monitoring, obtains the AP service data;
Network Abnormal is passed judgment on unit 42, is used for the Network Abnormal judgment criteria according to described AP service data and setting, judges whether abnormal of network; With,
AP data transmission unit 43 is used for by cable network described AP service data being sent to described network optimization platform when the network abnormal.
In another optional execution mode, the user is in using the process of wlan network, and discovering network occurs when unusual, to network O﹠M personnel feedback.The network O﹠M personnel issue data by network optimization platform to data collection station and send instruction, to indicate described data collection station feedback AP service data.
As shown in Figure 5, described data acquisition module 31 specifically comprises:
AP monitoring means 51 is used for the beacon frame by AP in the described hot spot region of wireless collection port Real-Time Monitoring, obtains the AP service data;
AP data transmission unit 53 is used for by cable network the AP service data that monitors being sent to described network optimization platform after receiving described data transmission instruction.
Further, dispose database in the described network optimization platform; Described database stores choosing of each network performance index and corresponding network performance judgment criteria; Described network performance index comprises at least one in AP signal strength signal intensity, signal to noise ratio, authentication success rate, user's drop rate, throughput, the error rate, network delay and the packet loss.
As shown in Figure 6, described data analysis module 32 specifically comprises:
Comparing unit 61 is used for described AP service data is analyzed, and the network performance judgment criteria in every network performance index and the database is compared; With,
Network optimization analytical method and system that the embodiment of the invention provides have following beneficial effect:
At the hot spot region of WLAN configuration data acquisition terminal, the ruuning situation of Real-Time Monitoring AP, when the network abnormal, in time the AP service data that monitors is sent to the network optimization system on backstage, by network optimization system network performance is analyzed and optimized and revised.The present invention can in time find fault and the hidden danger that wlan network exists, and realizes the network Automatic Optimal, and the ageing height of the network optimization, can effectively ensure the stable operation of network, improves network performance.
The test optimization work of network improve the quality of networking, and operation is succinct, has alleviated network optimization personnel's burden, has greatly saved manpower and Cost optimization before the present invention can effectively solve networking, in the networking and after the networking.
The above is preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also are considered as protection scope of the present invention.
Claims (10)
1. a network optimization analytical method is characterized in that, comprising:
The ruuning situation of each access point AP in S1, the data collection station real time monitoring wireless LAN WLAN coverage territory sends the AP service data that monitors to network optimization platform when the network abnormal;
S2, described network optimization platform are analyzed described AP service data according to the network performance judgment criteria of setting, and judge whether the property indices of network meets standard;
S3, described network optimization platform sort out the problem that network exists according to the analysis result of described AP service data, obtain solution corresponding to every class problem;
S4, described network optimization platform are converted to the optimization instruction with described solution, send to corresponding AP and carry out self-adjusting, perhaps described optimization instruction are sent to the network operation terminal.
2. network optimization analytical method as claimed in claim 1 is characterized in that, described data collection station is installed in the hot spot region at AP place; Issue towards periphery beacon frame during described AP start operation; Described beacon frame comprises service set and the place channel information of AP;
Described step S1 specifically comprises:
After installing, described data collection station by the beacon frame of AP in the described hot spot region of wireless collection port Real-Time Monitoring, obtains the AP service data;
Described data collection station is according to the Network Abnormal judgment criteria of described AP service data and setting, judges whether abnormal of network;
Described data collection station sends to described network optimization platform by cable network with described AP service data when the network abnormal.
3. network optimization analytical method as claimed in claim 1 is characterized in that, described data collection station is installed in the hot spot region at AP place; Issue towards periphery beacon frame during described AP start operation; Described beacon frame comprises service set and the place channel information of AP;
Described step S1 specifically comprises:
After installing, described data collection station by the beacon frame of AP in the described hot spot region of wireless collection port Real-Time Monitoring, obtains the AP service data;
Data collection station receives the data transmission instruction that network optimization platform issues; It is that described network optimization platform is after the Network Abnormal information that receives network O﹠M personnel feedback that described data send instruction, order to described data collection station issues sends to described network optimization platform to indicate described data collection station with the AP service data that monitors;
Described data collection station sends to described network optimization platform by cable network with the AP service data that monitors after receiving described data transmission instruction.
4. as claimed in claim 2 or claim 3 network optimization analytical method is characterized in that, described AP service data comprises the number of the AP that moves in the WLAN coverage territory, channel allocation situation, signal strength signal intensity and the signal disturbed condition of each AP;
Dispose database in the described network optimization platform, described database stores choosing of each network performance index and corresponding network performance judgment criteria; Described network performance index comprises at least one in AP signal strength signal intensity, signal to noise ratio, authentication success rate, user's drop rate, throughput, the error rate, network delay and the packet loss.
5. network optimization analytical method as claimed in claim 4 is characterized in that, described step S2 specifically comprises:
Described network optimization platform is analyzed described AP service data, and the network performance judgment criteria in every network performance index and the database is compared;
When every network performance index meets judgment criteria, judge that wlan network does not occur unusually; When at least one network performance index do not meet judgment criteria, judge that wlan network occurs unusual.
6. a network system is characterized in that, comprising: network optimization platform, data collection station and at least one access point AP;
Described data collection station comprises:
Data acquisition module for the ruuning situation of real time monitoring wireless LAN WLAN coverage territory each access point AP, sends the AP service data that monitors to network optimization platform when the network abnormal;
Described network optimization platform comprises:
Data analysis module is used for according to the network performance judgment criteria of setting described AP service data being analyzed, and judges whether the property indices of network meets standard;
The Question Classification module is used for the analysis result according to described AP service data, and the problem that network exists is sorted out, and obtains solution corresponding to every class problem; With,
Optimize and revise module, be used for described solution is converted to the optimization instruction, send to corresponding AP and carry out self-adjusting, perhaps described optimization instruction is sent to the network operation terminal.
7. network system as claimed in claim 6 is characterized in that, described data collection station is installed in the hot spot region at AP place; Issue towards periphery beacon frame during described AP start operation; Described beacon frame comprises service set and the place channel information of AP;
Described data acquisition module specifically comprises:
The AP monitoring means is used for the beacon frame by AP in the described hot spot region of wireless collection port Real-Time Monitoring, obtains the AP service data;
Network Abnormal is passed judgment on the unit, is used for the Network Abnormal judgment criteria according to described AP service data and setting, judges whether abnormal of network; With,
The AP data transmission unit is used for by cable network described AP service data being sent to described network optimization platform when the network abnormal.
8. network system as claimed in claim 6 is characterized in that, described data collection station is installed in the hot spot region at AP place; Issue towards periphery beacon frame during described AP start operation; Described beacon frame comprises service set and the place channel information of AP;
Described data acquisition module specifically comprises:
The AP monitoring means is used for the beacon frame by AP in the described hot spot region of wireless collection port Real-Time Monitoring, obtains the AP service data;
The command reception unit is used for receiving the data transmission instruction that network optimization platform issues; It is that described network optimization platform is after the Network Abnormal information that receives network O﹠M personnel feedback that described data send instruction, order to described data collection station issues sends to described network optimization platform to indicate described data collection station with the AP service data that monitors; With,
The AP data transmission unit is used for by cable network the AP service data that monitors being sent to described network optimization platform after receiving described data transmission instruction.
9. such as claim 7 or 8 described network systems, it is characterized in that, described AP service data comprises the number of the AP that moves in the WLAN coverage territory, channel allocation situation, signal strength signal intensity and the signal disturbed condition of each AP;
Dispose database in the described network optimization platform, described database stores choosing of each network performance index and corresponding network performance judgment criteria; Described network performance index comprises at least one in AP signal strength signal intensity, signal to noise ratio, authentication success rate, user's drop rate, throughput, the error rate, network delay and the packet loss.
10. network system as claimed in claim 9 is characterized in that, described data analysis module comprises:
Comparing unit is used for described AP service data is analyzed, and the network performance judgment criteria in every network performance index and the database is compared; With,
Analytic unit is used for when every network performance index meets judgment criteria, judges that wlan network does not occur unusually; When at least one network performance index do not meet judgment criteria, judge that wlan network occurs unusual.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012105222945A CN102958082A (en) | 2012-12-07 | 2012-12-07 | Network optimization analysis method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012105222945A CN102958082A (en) | 2012-12-07 | 2012-12-07 | Network optimization analysis method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102958082A true CN102958082A (en) | 2013-03-06 |
Family
ID=47766180
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012105222945A Pending CN102958082A (en) | 2012-12-07 | 2012-12-07 | Network optimization analysis method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102958082A (en) |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103152760A (en) * | 2013-03-21 | 2013-06-12 | 广州市成格信息技术有限公司 | Method capable of monitoring and early warning wireless local area network (WLAN) system and WLAN sensing system |
| CN103874113A (en) * | 2014-03-19 | 2014-06-18 | 成都西加云杉科技有限公司 | Wireless network maintenance method, device and system |
| CN104320802A (en) * | 2014-10-31 | 2015-01-28 | 北京思特奇信息技术股份有限公司 | Method and system for batch management of wireless devices |
| CN104640125A (en) * | 2013-11-08 | 2015-05-20 | 中国移动通信集团浙江有限公司 | Method and device for assessing quality of WLAN (wireless local area network) business |
| CN104702445A (en) * | 2015-03-31 | 2015-06-10 | 清华大学 | User network optimizing method and system |
| CN104935466A (en) * | 2015-06-17 | 2015-09-23 | 杭州华三通信技术有限公司 | Fault handling method and device |
| CN105101275A (en) * | 2014-05-19 | 2015-11-25 | 上海共联通信信息发展有限公司 | Device for quantitative detection of WIFI faults |
| CN105700900A (en) * | 2014-11-25 | 2016-06-22 | 青岛海信移动通信技术股份有限公司 | Method and device for optimizing wireless local area network function |
| CN107018016A (en) * | 2017-03-17 | 2017-08-04 | 蔚来汽车有限公司 | A kind of method and apparatus for Monitor-Networking equipment |
| CN107276785A (en) * | 2017-05-03 | 2017-10-20 | 北京星网锐捷网络技术有限公司 | A kind of WLAN optimization method and device |
| CN109347688A (en) * | 2018-11-26 | 2019-02-15 | 锐捷网络股份有限公司 | A kind of method and apparatus of positioning failure in a wireless local area network |
| CN109429247A (en) * | 2017-08-31 | 2019-03-05 | 中国移动通信集团公司 | A kind of method and device of the improvement subzone network based on problem scenes |
| CN109951858A (en) * | 2017-12-21 | 2019-06-28 | 深圳Tcl新技术有限公司 | Network optimized approach, intelligent terminal and storage medium based on WIFI communication |
| CN111654343A (en) * | 2020-06-04 | 2020-09-11 | 马霖 | Resource allocation system and method based on mobile communication network |
| CN111865973A (en) * | 2020-07-17 | 2020-10-30 | 国网河北省电力有限公司邯郸供电分公司 | Network security operation and maintenance correlation analysis method |
| CN113994743A (en) * | 2019-06-11 | 2022-01-28 | 高通股份有限公司 | Controlling transmit power across Basic Service Sets (BSSs) |
| CN116633770A (en) * | 2023-05-29 | 2023-08-22 | 深圳市海成智联科技有限公司 | Automatic configuration operation supervision system suitable for operation of local area network equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101695170A (en) * | 2009-10-19 | 2010-04-14 | 山东碧通通信技术有限公司 | Wireless communication network testing data collection and analysis method based on intelligent mobile phone |
| CN102333329A (en) * | 2011-09-20 | 2012-01-25 | 北京中佳银讯科技有限公司 | Intelligent quality test management system and method of WLAN (wireless local area network) |
-
2012
- 2012-12-07 CN CN2012105222945A patent/CN102958082A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101695170A (en) * | 2009-10-19 | 2010-04-14 | 山东碧通通信技术有限公司 | Wireless communication network testing data collection and analysis method based on intelligent mobile phone |
| CN102333329A (en) * | 2011-09-20 | 2012-01-25 | 北京中佳银讯科技有限公司 | Intelligent quality test management system and method of WLAN (wireless local area network) |
Cited By (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103152760B (en) * | 2013-03-21 | 2016-01-20 | 广州市成格信息技术有限公司 | Can monitor wlan system and the method for early warning and WLAN sensory perceptual system |
| CN103152760A (en) * | 2013-03-21 | 2013-06-12 | 广州市成格信息技术有限公司 | Method capable of monitoring and early warning wireless local area network (WLAN) system and WLAN sensing system |
| CN104640125A (en) * | 2013-11-08 | 2015-05-20 | 中国移动通信集团浙江有限公司 | Method and device for assessing quality of WLAN (wireless local area network) business |
| CN104640125B (en) * | 2013-11-08 | 2018-01-30 | 中国移动通信集团浙江有限公司 | A kind of method and apparatus of the quality of assessment WLAN business |
| CN103874113A (en) * | 2014-03-19 | 2014-06-18 | 成都西加云杉科技有限公司 | Wireless network maintenance method, device and system |
| CN103874113B (en) * | 2014-03-19 | 2017-11-21 | 成都西加云杉科技有限公司 | Wireless network maintaining method, device and system |
| CN105101275B (en) * | 2014-05-19 | 2023-11-07 | 上海共联通信信息发展有限公司 | WIFI trouble ration detection device |
| CN105101275A (en) * | 2014-05-19 | 2015-11-25 | 上海共联通信信息发展有限公司 | Device for quantitative detection of WIFI faults |
| CN104320802B (en) * | 2014-10-31 | 2018-01-09 | 北京思特奇信息技术股份有限公司 | A kind of method and system of bulk management wireless device |
| CN104320802A (en) * | 2014-10-31 | 2015-01-28 | 北京思特奇信息技术股份有限公司 | Method and system for batch management of wireless devices |
| CN105700900B (en) * | 2014-11-25 | 2018-12-14 | 青岛海信移动通信技术股份有限公司 | A kind of method and device optimizing wireless lan function |
| CN105700900A (en) * | 2014-11-25 | 2016-06-22 | 青岛海信移动通信技术股份有限公司 | Method and device for optimizing wireless local area network function |
| CN104702445B (en) * | 2015-03-31 | 2018-04-20 | 清华大学 | The optimization method and system of user network |
| CN104702445A (en) * | 2015-03-31 | 2015-06-10 | 清华大学 | User network optimizing method and system |
| CN104935466A (en) * | 2015-06-17 | 2015-09-23 | 杭州华三通信技术有限公司 | Fault handling method and device |
| CN104935466B (en) * | 2015-06-17 | 2019-05-07 | 新华三技术有限公司 | A kind of fault handling method and device |
| CN107018016B (en) * | 2017-03-17 | 2021-08-31 | 蔚来(安徽)控股有限公司 | Method and device for monitoring networking equipment |
| CN107018016A (en) * | 2017-03-17 | 2017-08-04 | 蔚来汽车有限公司 | A kind of method and apparatus for Monitor-Networking equipment |
| WO2018166131A1 (en) * | 2017-03-17 | 2018-09-20 | 蔚来汽车有限公司 | Method and apparatus for monitoring networking device |
| CN107276785A (en) * | 2017-05-03 | 2017-10-20 | 北京星网锐捷网络技术有限公司 | A kind of WLAN optimization method and device |
| CN109429247A (en) * | 2017-08-31 | 2019-03-05 | 中国移动通信集团公司 | A kind of method and device of the improvement subzone network based on problem scenes |
| CN109951858A (en) * | 2017-12-21 | 2019-06-28 | 深圳Tcl新技术有限公司 | Network optimized approach, intelligent terminal and storage medium based on WIFI communication |
| CN109347688A (en) * | 2018-11-26 | 2019-02-15 | 锐捷网络股份有限公司 | A kind of method and apparatus of positioning failure in a wireless local area network |
| CN113994743A (en) * | 2019-06-11 | 2022-01-28 | 高通股份有限公司 | Controlling transmit power across Basic Service Sets (BSSs) |
| CN111654343B (en) * | 2020-06-04 | 2021-04-30 | 苏州乐米凡电气科技有限公司 | Resource allocation system and method based on mobile communication network |
| CN111654343A (en) * | 2020-06-04 | 2020-09-11 | 马霖 | Resource allocation system and method based on mobile communication network |
| CN111865973A (en) * | 2020-07-17 | 2020-10-30 | 国网河北省电力有限公司邯郸供电分公司 | Network security operation and maintenance correlation analysis method |
| CN116633770A (en) * | 2023-05-29 | 2023-08-22 | 深圳市海成智联科技有限公司 | Automatic configuration operation supervision system suitable for operation of local area network equipment |
| CN116633770B (en) * | 2023-05-29 | 2024-02-13 | 深圳市海成智联科技有限公司 | Automatic configuration operation supervision system suitable for operation of local area network equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102958082A (en) | Network optimization analysis method and system | |
| US9961571B2 (en) | System and method for a multi view learning approach to anomaly detection and root cause analysis | |
| CN102958083A (en) | Network optimization equipment, wireless local area network optimization system and method | |
| CN103167534B (en) | The measurement processing method and apparatus of communication event, subscriber equipment | |
| CN103237355B (en) | The auto-allocation method of radio communication channel and system | |
| CN100438676C (en) | Wireless network and method for planning and optimizing network therein | |
| CN102307370B (en) | Handover measurement control method for mobile communication system | |
| CN101790173A (en) | Network coverage detection method and system | |
| CN106507398B (en) | A kind of network self-organization method based on continuous learning | |
| KR20120091485A (en) | Method and apparatus of optimization for radio link failure minimization | |
| US8594581B2 (en) | Wireless station and method in a wireless station for initiating resource measurements | |
| CN102088726A (en) | Frequency multiplexing method and device | |
| CN101282554A (en) | Fixedpoint capturing analysis method for mobile communication network signal strength and communication quality | |
| CN102547774B (en) | Wireless indoor optimizing method and device | |
| CN105451261A (en) | VoLTE wireless network test method based on mobile intelligent terminal | |
| CN103906096B (en) | The acquisition method and device of metrical information in a kind of measurement report | |
| WO2013089058A1 (en) | Wireless parameter control system, wireless parameter control device, wireless base station, wireless parameter control method and program | |
| CN104754602A (en) | Wireless quality monitoring method and device | |
| CN104754609A (en) | Network optimization method and system based on TD-LTE (Time Division-Long Term Evolution) and WLAN (Wireless Local Area Network) | |
| KR102444229B1 (en) | Management system and method for large-scale wireless lan based on big data | |
| CN103517308A (en) | Cell interrupt detecting method based on neighbor cell reference signal receiving power list | |
| EP3764681A1 (en) | Wireless communication control method, wireless communication system, and management server | |
| CN101448309B (en) | MUROS-supported method for controlling downlink power and device thereof | |
| CN114363924B (en) | 5G non-resident problem automatic root cause analysis method | |
| CN101616021B (en) | Family base station network optimization method and family base station configuration server |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20130306 |