CN103874098A - Multi-network coverage optimization system and optimization method based on WLAN (wireless local area network) - Google Patents
Multi-network coverage optimization system and optimization method based on WLAN (wireless local area network) Download PDFInfo
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- CN103874098A CN103874098A CN201410082825.2A CN201410082825A CN103874098A CN 103874098 A CN103874098 A CN 103874098A CN 201410082825 A CN201410082825 A CN 201410082825A CN 103874098 A CN103874098 A CN 103874098A
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Abstract
The invention discloses a multi-network coverage optimization system based on a WLAN (wireless local area network). The multi-network coverage optimization system comprises a computer system, and is characterized by also comprising wireless network card transmitting and receiving equipment connected with the computer system. An optimization method comprises the steps of decoding a WLAN signal by running the multi-network coverage optimization system based on the WLAN; outputting all network type coverage test estimation conditions, and finally obtaining a multi-network collaborative coverage optimization scheme with pertinence and practicability. According to the multi-network coverage optimization system and the optimization method, the coverage conditions of other networks can be obtained by only performing coverage test on a single network, and the multi-network collaborative coverage optimization scheme can be supplied according to a condition matching algorithm; the multi-network coverage optimization system is suitable for the current situation of the mobile network in China with multi-network coexisting and combining transmitting and receiving antennas.
Description
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Technical field
The invention belongs to radio communication technology field, particularly relate to a kind of Design and manufacture of the many nets coverage optimization system and method based on wlan network.
Background technology
Radio communication the most important thing is to provide an overlay network reliable, safety is seamless to user, and when mobile communications network develops into certain phase, the optimization of indoor covering is exactly an important service content.It is not only the improvement to indoor signal blind area that mobile communication indoor covers, and also comprises the improvement to indoor mobile communication speech quality, network quality, power system capacity simultaneously.
Along with popularizing of mobile network, the development of WLAN, TD-SCDMA, LTE network, for reducing the cost of networking, WLAN and GSM, TD-SCDMA, WCDMA, the indoor covering compartment system of CDMA, LTE generally adopt and close road construction, and the network signal of WLAN and GSM, TD-SCDMA, WCDMA, CDMA, LTE closes the same antenna of Lu Houcong and sends.Because these several network formats communication frequency used is different, the penetrability of wireless signal and loss are also different, cause in the signal strength signal intensity of the each network formats of same position also different.Communication industry, carrying out in network coverage optimizing process, in the time carrying out the adjustment operations such as aerial position, antenna tilt, increase attenuator, will have influence on the coverage effect of multiple networks.Therefore adjust at every turn, carry out coverage test with regard to the region that must cover this aerial signal, verified adjustment effect.Due to computer performance and flying power restriction, test is all the configuration of taking a set of tester of a set of testing equipment of a net conventionally, closes Lu Shixu multiple networks are tested respectively at many nets, and workload is large, and efficiency is low, and the high testing efficiency of testing cost is low.
Application number is CN201110278050.2, invention and created name is just tested and covering analyzing for WLAN network for " a kind of wlan network quality intelligent test and management system and method ", the networks such as TD-SCDMA, CDMA, WCDMA, LTE, GSM are not carried out to covering analyzing, this application is only optimized for wlan network, generally adopt and close road builds at current WLAN and GSM, TD-SCDMA, WCDMA, CDMA, the indoor covering compartment system of LTE, this technology has been subjected to great limitation.
Application number is CN200810052199.7, invention and created name is also only to support GSM, CDMA, tri-kinds of network tests of CDMA2000 for " intelligent multi-network test macro ", and each network need to a set ofly carry out the test collection of data with the corresponding engineering test mobile phone of this network, workload is large, and coordinative composition of equipments is various.
Summary of the invention
The object of this invention is to provide a kind of many nets coverage optimization system and optimization method based on wlan network, to overcome in current many nets coverage optimization, take a set of tester's of a set of testing equipment of a net configuration, close Lu Shixu at many nets multiple networks are tested respectively, the shortcoming that workload is large, efficiency is low, testing cost is high, testing efficiency is low.
The object of the invention is existing like this: a kind of many nets coverage optimization system based on wlan network, comprise computer system, it is characterized by: also there is the wireless network card transceiver being connected with computer system.
Wireless network card transceiver is wireless network card or test terminal.
A kind of optimization method of the many nets coverage optimization system based on wlan network, it is characterized by: the many nets coverage optimization system by operation based on wlan network, utilize the wireless network card receiver being connected with computer system of configuration, receive on-site wlan network signal, wlan network signal is decoded; Distribute according to the signal website of Wlan network again, select respectively the propagation model of suitable other network formats, export the coverage test assessment situation of each network formats, by adjusting the configuration parameter of signal website, adjust the covering performance of each network formats, finally draw pointed and multi-network cooperative coverage optimization scheme practicality.
The propagation model of selecting suitable other network formats is Okumura/Hata propagation model or COST231-Hata propagation model or COST231 Walfish-Ikegami propagation model or SPM propagation model or ASSET propagation model.
An optimization method for many nets coverage optimization system based on wlan network, is characterized by: the concrete steps of optimization are:
Wireless network transceiver is connected to notebook computer by a, and wireless network transceiver can be wireless network card or test terminal;
B operation testing evaluation software, by the mode of serial communication or network packet packet capturing, receives the wlan network data that wireless network transceiver collects;
C to the decoding data receiving in step (b), obtains current network signal strength signal intensity according to 3GPP or IP/TCP or WLAN agreement;
D distributes according to the signal website of Wlan network, select respectively the propagation model of suitable other network formats, as Okumura/Hata propagation model, COST231-Hata propagation model, COST231 Walfish-Ikegami propagation model, SPM propagation model, ASSET propagation model;
E, according to the model in step (d) and signal station data, exports the signal strength signal intensity of the network corresponding with model;
The current network signal strength signal intensity of the comprehensive step of f (c), the model of step (d), the assessment signal strength signal intensity that step (e) obtains, set up the condition matching algorithm;
G is according to Condition Matching algorithm, the collaborative covering scheme of output current network and evaluated network, and covering scheme comprises aerial position, antenna tilt, attenuator increase and decrease, transmission power adjustment adjustment operation, and expection coverage effect after adjustment.
Take the present invention of above measure, by test wlan network time, each network formats is carried out to coverage evaluating, thereby the signal strength signal intensity of obtaining other and closing the network of road transmitting, avoid different networks to test one by one respectively, to improve testing efficiency, realize the coverage optimization of multi-network cooperative.The present invention only need carry out the coverage test of single network, just can obtain the coverage condition of other networks, can provide multi-network cooperative coverage optimization scheme according to Condition Matching algorithm, the home mobile network present situation that is applicable to many nets and deposits, close road dual-mode antenna.
Below in conjunction with the accompanying drawings and embodiments the present invention is made again the detailed description of a step.
Accompanying drawing explanation
The system hardware structure block diagram that accompanying drawing 1 is the present invention (embodiment);
The optimization method flow chart that accompanying drawing 2 is the present invention (embodiment);
The software architecture diagram that accompanying drawing 3 is the present invention (embodiment).
Below the present invention is described in further detail in conjunction with the accompanying drawings and embodiments again.
Embodiment
Accompanying drawing 1 has provided the system hardware structure block diagram of the embodiment of the present invention.With reference to accompanying drawing 1.
Hardware of the present invention comprises computer system, also has the wireless network transceiver being connected with computer system.Computer system is desktop computer or notebook computer.What embodiment adopted is notebook computer, and model is the ZENBOOK UX301 of Asus notebook.What wireless network transceiver adopted is wireless network card receiver.Implement time of the present invention the wireless network card that notebook computer carries or can all can by connecting wireless network.
The optimization method flow chart that accompanying drawing 2 is the embodiment of the present invention.With reference to accompanying drawing 2.
First gather mobile network data, then carry out data decode, then set up propagation model, then export other standard network signal intensities, then set up the condition matching algorithm, finally exports multi-network cooperative and covers scheme.
Optimization method of the present invention is the many nets coverage optimization system based on wlan network by operation, utilizes the wireless network card receiver being connected with computer system of configuration, receives on-site wlan network signal, and wlan network signal is decoded; Then select Okumura/Hata propagation model, COST231-Hata propagation model, COST231 Walfish-Ikegami propagation model, SPM propagation model, ASSET propagation model, set up many nets of WLAN/TD-SCDMA/GSM/WCDMA/CDMA/LTE propagation model; Take one of them network of network information data as basis, comprehensively analyze above-mentioned each side information again, export the coverage test assessment situation of each network formats, finally draw pointed and multi-network cooperative coverage optimization scheme practicality.
Various propagation models are widely used:
Okumura (village difficult to understand)/Hata model, is the most frequently used propagation model, fairly simple, analyze more convenient, be usually used in pre-designed, the namely characteristic of estimation network roughly.This model be applicable to coverage distance at 1KM-20KM, frequency range the macrocell in 150MHZ-1500MHz scope, be applicable to GSM network and cdma network coverage evaluating.
COST231-Hata model: common model, the added edition of Okumura (village difficult to understand)/Hata model, be applicable to coverage distance at 1KM-20KM, frequency range the macrocell in 1500MHZ-2000MHz scope.Be applicable to TD-SCDMA network and WCDMA network coverage assessment
COST231 Walfish-Ikegami model: common model, be applicable to coverage distance at 20M-5KM, frequency range the community in 800MHZ-2000MHz scope, mainly be applicable to city, the website that coverage distance is nearer, is applicable to GSM network and cdma network coverage evaluating.
SPM model: common model, be applicable to frequency range more than 2GHz, be one and combine the universal model that a large amount of on-the-spot test results draw, be applicable to TD-LTE network and wlan network coverage evaluating.
Accompanying drawing 3 has provided the software system structure block diagram of the embodiment of the present invention.
Software systems of the present invention comprise test module, data module, evaluation module and model module.
Test module comprises WLAN, TD-SCDMA, WCDMA, CDMA, LTE, also can comprise other networks such as GSM if needed.
Data module comprises playback of data and record data.
Evaluation module comprises index analysis, model analysis and scheme output.
Index analysis: by the wireless network traffic measurement of 24 hours every days, obtain the key indexs such as telephone traffic, data traffic, number of users, congestion ratio, the signal of assistant analysis target area covers demand.
Model analysis: use inequality to analyze according to the computing formula of each model.
Model module inequality sample following (take position A as example):
The Okumura model formation result of calculation >=-95dbm(hypothesis-95dbm of A position is that the signal of the lowest service of GSM network covers demand).
The COST231-Hata model formation result of calculation >=-100dbm (suppose-100dbm is that the signal of the lowest service of TD-SCDMA network covers demand) of A position.
The SPM model formation result of calculation >=-100dbm(hypothesis-100dbm of A position is that the signal of the lowest service of LTE network covers demand).
Calculate the configuration parameter that simultaneously meets the signal website of above three inequality.
Comprise SPM model, Okumura (village difficult to understand)/Hata model, COST231 Walfish-Ikegami model, COST231-Hata model, ASSET propagation model also can be set if desired.
The concrete steps that provide again a kind of optimization method of the many nets coverage optimization system based on wlan network are below:
Wireless network transceiver is connected to notebook computer by a, and wireless network transceiver can be wireless network card or test terminal;
B operation testing evaluation software, by the mode of serial communication or network packet packet capturing, receives the wlan network data that wireless network transceiver collects;
C to the decoding data receiving in step (b), obtains current network signal strength signal intensity according to 3GPP or IP/TCP or WLAN agreement;
D distributes according to the signal website of Wlan network, select respectively the propagation model of suitable other network formats, as Okumura/Hata propagation model, COST231-Hata propagation model, COST231 Walfish-Ikegami propagation model, SPM propagation model, ASSET propagation model;
E, according to the model in step (d) and signal station data, exports the signal strength signal intensity of the network corresponding with model;
The current network signal strength signal intensity of the comprehensive step of f (c), the model of step (d), the assessment signal strength signal intensity that step (e) obtains, set up the condition matching algorithm;
G is according to Condition Matching algorithm, the collaborative covering scheme of output current network and evaluated network, and covering scheme comprises aerial position, antenna tilt, attenuator increase and decrease, transmission power adjustment adjustment operation, and expection coverage effect after adjustment.
Finally, obtain the existing aerial position of signal website, antenna tilt, attenuator, the parameters such as transmitting power, substitution Okumura (village difficult to understand)/Hata model, COST231-Hata model, COST231 Walfish-Ikegami model, the computing formula of SPM model, the signal that uses inequality calculating to meet each standard network lowest service covers the parameters such as the antenna tilt of demand, and adjust to the signal covering demand of more excellent service on this basis, finally export suitable collaborative covering scheme, covering scheme comprises aerial position, antenna tilt, attenuator increase and decrease, transmission power adjustment etc. are adjusted operation, and adjust after expection coverage effect.
Claims (5)
1. the coverage optimization of the many nets based on a wlan network system, comprises computer system, it is characterized by: also have the wireless network transceiver being connected with computer system.
2. the optimization method of the many nets coverage optimization system based on wlan network, it is characterized by: the many nets coverage optimization system by operation based on wlan network, utilize the wireless network card receiver being connected with computer system of configuration, receive on-site wlan network signal, wlan network signal is decoded; Distribute according to the signal website of Wlan network again, select respectively the propagation model of suitable other network formats, export the coverage test assessment situation of each network formats, by adjusting the configuration parameter of signal website, adjust the covering performance of each network formats, finally draw pointed and multi-network cooperative coverage optimization scheme practicality.
3. the optimization method of the many nets coverage optimization system based on wlan network according to claim 2, is characterized by: the propagation model of selecting suitable other network formats is Okumura/Hata propagation model or COST231-Hata propagation model or COST231 Walfish-Ikegami propagation model or SPM propagation model or ASSET propagation model.
4. many nets coverage optimization system according to claim 1, is characterized by: described wireless network transceiver is wireless network card or test terminal.
5. the optimization method of the many nets coverage optimization system based on wlan network according to claim 2, is characterized by: the concrete steps of optimization are:
Wireless network transceiver is connected to notebook computer by a, and wireless network transceiver can be wireless network card or test terminal;
B operation testing evaluation software, by the mode of serial communication or network packet packet capturing, receives the wlan network data that wireless network transceiver collects;
C to the decoding data receiving in step (b), obtains current network signal strength signal intensity according to 3GPP or IP/TCP or WLAN agreement;
D distributes according to the signal website of Wlan network, select respectively the propagation model of suitable other network formats, as Okumura/Hata propagation model, COST231-Hata propagation model, COST231 Walfish-Ikegami propagation model, SPM propagation model, ASSET propagation model;
E, according to the model in step (d) and signal station data, exports the signal strength signal intensity of the network corresponding with model;
The current network signal strength signal intensity of the comprehensive step of f (c), the model of step (d), the assessment signal strength signal intensity that step (e) obtains, set up the condition matching algorithm;
G is according to Condition Matching algorithm, the collaborative covering scheme of output current network and evaluated network, and covering scheme comprises aerial position, antenna tilt, attenuator increase and decrease, transmission power adjustment adjustment operation, and expection coverage effect after adjustment.
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| CN104618046A (en) * | 2015-02-10 | 2015-05-13 | 广东省电信规划设计院有限公司 | Signal intensity prediction method and system based on wireless propagation model correction |
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| US20100014496A1 (en) * | 2003-03-24 | 2010-01-21 | Strix Systems, Inc. | Node placement method within a wireless network, such as a wireless local area network |
| 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) |
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| CN104618046A (en) * | 2015-02-10 | 2015-05-13 | 广东省电信规划设计院有限公司 | Signal intensity prediction method and system based on wireless propagation model correction |
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Application publication date: 20140618 |