CN109495558A - Vehicle applied to City Rail Transit System ground multi-internet integration wireless communications method - Google Patents
Vehicle applied to City Rail Transit System ground multi-internet integration wireless communications method Download PDFInfo
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- CN109495558A CN109495558A CN201811313633.2A CN201811313633A CN109495558A CN 109495558 A CN109495558 A CN 109495558A CN 201811313633 A CN201811313633 A CN 201811313633A CN 109495558 A CN109495558 A CN 109495558A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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Abstract
The invention discloses a kind of vehicle applied to City Rail Transit System multi-internet integration wireless communications method, comprising: construct training sample set using the radio signal quality parameter and radio link quality parameter of LTE-M network and WIFI network；Using training sample set combination Bayesian Classification Arithmetic, training obtains Bayesian Classification Model；The radio signal quality parameter and radio link quality parameter of acquisition LTE-M network and WiFi network in real time, and classified using Bayesian Classification Model, corresponding wireless network transmissions data is finally selected according to the result of classification；Later, periodically judge whether optimal network is identical as currently used wireless network, start switching flow if not identical, if the same carry out the judgement of next cycle.Urban track traffic vehicle-ground wireless communication quality can be improved in this method, and can keep the transmission of car-ground radio data using another network when active wireless network breaks down, and has certain feasibility and validity.
Description
Technical field
The present invention relates to railway communication technical field more particularly to a kind of vehicle ground applied to City Rail Transit System are more
Net fusing wireless communication means.
Background technique
The vehicle-ground wireless communication transmission of high quality is one of the fundamental prerequisite of City Rail Transit System normal operation.It protects
Barrier and promotion vehicle-ground wireless communication quality are an important research topics.
The factor for influencing vehicle-ground wireless communication quality mainly has the installation error of Radio Link infrastructure, other standards letter
Number adjacent frequency interference, co-channel interference caused by environment and equipment fault cause peripheral speed to reduce etc., wherein wireless interference problems
It is more prominent.
Vehicle-ground wireless communication generallys use LTE-M or WiFi technology standard, but nothing in the Rail Transit System of current city
By which kind of standard used, due to the particularity of radio open environment, air interference potential risk is larger.Especially civilian channel radio
Letter covers the network of three big operators, three generations's communication products and a variety of communication standards.There is operations for 1.8GHz LTE-M network
The adjacent frequency risk of interferences of quotient, 2.4GHz/5.8GHz WIFI network is since using common frequency band, there is co-channel interference risks.By
Vehicle-ground wireless communication interruption is likely to cause in the reduction of radio communication quality, when serious, to influence efficiency of operation.
Currently, mainly having for the mode for improving vehicle-ground wireless communication quality:
1, polarization direction, the deflection of antenna are adjusted, using waveguide, the mode for increasing Error Correction of Coding promotes anti-interference
It can be to improve vehicle-ground wireless communication quality
2, it proposes to promote train-ground communication by way of simplifying IEEE802.11 function (NRS) for WLAN technology standard
Performance.
3, propose that the active/standby devices handoff algorithm based on short sequence grey forecasting model is eliminated with frequency for LTE-M standard
The influence of interference, multipath effect and shadow fading to received signal strength indication improves car-ground radio quality.
Above scheme can promote communication performance for single system wireless network, but can not avoid and eliminate completely
Air interference can not also solve the problems such as peripheral speed when equipment fault reduces.
Summary of the invention
A kind of the object of the present invention is to provide vehicle applied to City Rail Transit System multi-internet integration side wireless communication
Urban track traffic vehicle-ground wireless communication quality can be improved in method.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of vehicle applied to City Rail Transit System ground multi-internet integration wireless communications method, comprising:
Using the LTE-M network obtained from the route of actual motion and WIFI network radio signal quality parameter and
Radio link quality parameter constructs training sample set as characteristic attribute；
Using the training sample set of building and in conjunction with Bayesian Classification Arithmetic, training obtains Bayesian Classification Model；
The radio signal quality parameter and radio link quality parameter of acquisition LTE-M network and WiFi network in real time, and
Classified using Bayesian Classification Model, corresponding wireless network transmissions data is finally selected according to the result of classification；Later,
The categorizing selection of wireless network is periodically carried out using Bayesian Classification Model, and judgement is with currently used wireless network
It is no identical, start switching flow if not identical, if the same carries out the judgement of next cycle.
As seen from the above technical solution provided by the invention, it is mentioned using a variety of wireless networks coexisted in route
It is common to ensure that stablizing for vehicle-ground wireless communication is transmitted for a plurality of wireless communication link；This method has certain anti-interference ability,
And the transmission of car-ground radio data can be kept using another network when active wireless network breaks down, this method has
Certain feasibility and validity.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment
Attached drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill in field, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is multi-internet integration System Network Architecture schematic diagram provided in an embodiment of the present invention；
Fig. 2 is a kind of vehicle applied to City Rail Transit System provided in an embodiment of the present invention ground multi-internet integration channel radio
The flow chart of letter method；
Fig. 3 is simulated environment schematic diagram provided in an embodiment of the present invention；
Fig. 4 is the data Propagation Simulation result of scene 1 provided in an embodiment of the present invention；
Fig. 5 is the data Propagation Simulation result of scene 2 provided in an embodiment of the present invention.
Specific embodiment
With reference to the attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on this
The embodiment of invention, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, belongs to protection scope of the present invention.
Usually there is LTE-M and WIFI network in urban track traffic operating line, the car-ground radio of multi-internet integration is logical
Letter will intelligently use both networks.Networking of the invention includes column control signalling arrangement, network monitor server, LTE-M/
WIFI network equipment and in-vehicle wireless communication unit.System Network Architecture is as shown in Figure 1, wherein column control signalling arrangement is column control
The transmission of data and receiving device, network monitor server cooperate in-vehicle wireless communication unit to complete LTE-M and WIFI network
Network Expert Systems, LTE-M equipment of the core network, LTE-M base station equipment, WIFI controller and AP are common as the network equipment
Complete the building of LTE-M network and WIFI network.In-vehicle wireless communication unit includes LTE communication unit, WIFI communication unit altogether
Member and center processing unit, LTE communication unit is responsible for the access of LTE-M network and data transmission, WIFI communication unit are born
The access and data transmission of WIFI network are blamed, center processing unit completes main logic processing and wireless network selection, simultaneously
It is communicated with onboard control device holding.
The bandwidth of LTE-M and WIFI network is higher, and transmission rate is preferable, can under the conditions of wireless communication status is normal
Enough meet city rail traffic signal system for the index request of train-ground communication, therefore the original of multi-internet integration vehicle-ground wireless communication
It is then preferentially used for LTE-M with WIFI network, the selection of wireless network is by in-vehicle wireless communication unit according to the two of real-time monitoring
Quality of wireless network is planted to complete.
A kind of vehicle applied to City Rail Transit System is provided multi-internet integration wireless communications method of the embodiment of the present invention,
Its network based on Bayes's classification is selected using two kinds of networks of LTE-M and WIFI as category set, in-vehicle wireless communication unit
The radio signal quality parameter and radio link quality parameter obtained in real time in two kinds of networks is as characteristic attribute, with wireless
Network communication quality is as goal in research, by a variety of radio signal quality parameters and Radio Link of LTE-M and WIFI network
Mass parameter is contacted with the foundation of data wireless links transmission quality.By model design conditions probability, with the pattra leaves of multiple features
This classification prediction technique, realizes the selection of vehicle-ground wireless communication optimal network；As shown in Fig. 2, it is specifically included that
1, using the radio signal quality parameter of the LTE-M network obtained from the route of actual motion and WIFI network with
And radio link quality parameter constructs training sample set.
In the embodiment of the present invention, the wireless signal matter of LTE-M network and WIFI network is obtained from the route of actual motion
Measure parameter and radio link quality parameter；The radio signal quality parameter include: LTE-M received signal strength parameter,
WIFI received signal strength parameter, LTE signal-to-noise ratio and WIFI signal-to-noise ratio；Radio link quality parameter includes LTE-M packet loss
Rate, WIFI packet loss, LTE-M propagation delay time, WIFI propagation delay time, LTE-M transmission rate and WIFI transmission rate；
According to the test statistics carried out in advance (such as in No. seven lines of Guangzhou Underground using WIFI network and using LTE-
The long-term test statistics that No. ten lines of Chongqing subway of M network are completed), sampled point set is generated as unit of rice in the line, often
A sampled point extracts the radio signal quality parameter and radio link quality parameter of its LTE-M network and WIFI network, summarizes
As the characteristic attribute set of corresponding sampled point, then optimal network is carried out to each sampled point by way of manual examination and verification and is drawn
Point, complete the building of training sample set.
2, using the training sample set of building and in conjunction with Bayesian Classification Arithmetic, training obtains Bayesian Classification Model.
In this step, the frequency of occurrences and each spy of each classification in training sample are calculated using Bayesian Classification Arithmetic
Attribute transposition is levied to the conditional probability of each classification, final training obtains the Bayesian Classification Model selected for realizing network；
The input of this step is training sample set, and output is Bayesian Classification Model.
Specifically, key technology of the invention point is the selection of wireless network, will utilize the thought solution of classification prediction
Certainly this key technology point.The characteristic attribute set of each network is constituted by extracting multiple parameters in two kinds of wireless networks,
Use Bayesian Classification Model as classification prediction model, completes the selection of wireless network.
In-vehicle wireless communication unit calculates LTE-M and two kinds of WIFI according to monitoring information between ground monitoring server
The propagation delay time of network, the radio link qualities parameter such as packet loss, while the received signal strength of network is obtained, the nothings such as signal-to-noise ratio
Line signal quality parameter, the characteristic attribute for using two kinds of parameter to select as wireless network.In the embodiment of the present invention,
The problem of optimal network selection is abstracted into one two classification, carries out classification judgement using features described above attribute.
Classification problem can be described as follows using the language of mathematics:
Assuming that item to be sorted are as follows:
X={ a1,a2,...,am}
Wherein ajIt is characteristic attribute, is in present example radio signal quality parameter and radio link quality parameter,
Exist simultaneously set:
C={ y1,y2,...,yn}
Wherein yiIt is in present example " LTE-M network " and " WIFI network " for classification, if being calculated:
P(yi| x)=max { P (y1|x),P(y2|x),...,P(yn|x)}
Then it could be assumed that x ∈ yi, you can get it, and item x to be sorted belongs to classification yi.Wherein P (yi| x) indicate item x to be sorted
Belong to classification yiConditional probability (that is, classification yiThe probability occurred in training sample), P (yn| x) indicate that item x to be sorted belongs to
Classification ynConditional probability.
P (y in above-mentioned formulan| calculating x) is the key that Bayes calculates, it is assumed that each characteristic attribute is relatively independent, then
There is following derivation:
Wherein, P (x | yi) indicate known class yiThe conditional probability of item x to be sorted, P (x) indicate the elder generation of item x to be sorted afterwards
Test probability, P (yi) indicate classification yiPrior probability, P (aj|yi) indicate known class yiCharacteristic attribute a afterwardsjConditional probability
(that is, characteristic attribute ajIt divides to classification yiConditional probability).Since P (x) is a constant, it need to only compare molecule.
3, the radio signal quality parameter and radio link quality parameter of LTE-M network and WiFi network are acquired in real time,
And classified using Bayesian Classification Model, corresponding wireless network transmissions data is finally selected according to the result of classification；It
Afterwards, the categorizing selection of wireless network is periodically carried out using Bayesian Classification Model, and is judged and currently used wireless network
Whether network is identical, starts switching flow if not identical, if the same carries out the judgement of next cycle.
Trained classifier, i.e. Bayesian Classification Model can be obtained by abovementioned steps 1~2, then, subsequent
In practical application, the mass parameter (wireless signal of above two wireless network can be acquired in real time by network monitor server
Mass parameter and radio link quality parameter), and be input to Bayesian Classification Model and classify, it is determined according to classification results
Current optimal wireless network can periodically carry out correlated judgment by setting, so that in-vehicle wireless communication unit
Always it can choose optimal wireless network to carry out data transmission.
Above scheme of the embodiment of the present invention, mainly obtain it is following the utility model has the advantages that
1) can the method for vehicle-ground wireless communication increased quality to single standard be compatible with.
2) support of the in-vehicle wireless communication unit to multiple network standard is increased.
3) it is capable of the quality of intelligent decision wireless network, completes optimal network selection.
4) ability of system reply network failure is improved.
In order to illustrate the effect of above scheme of the present invention, it is illustrated below with reference to a simulated example.
The present invention realizes the in-vehicle wireless communication unit based on Bayes's classification network selection algorithm, which includes
LTE communication unit, WIFI communication unit and center processing unit.Simulated environment is built in laboratory, wherein network monitor takes
Business device is respectively connected to LTE-M and WIFI network.LTE-M signal and WIFI signal are passed through into feeder line respectively and are sent to channel simulator unit
Input interface, output interface emit signal by antenna.LTE-M signal and WIFI are realized using the control to channel simulator unit
The Strength Changes of signal, while direct fault location is completed using interference source manufacture noise and interference.In-vehicle wireless communication unit is completed
The access of wireless network, configuration monitoring terminal are connect to monitor and record data transmission scenarios, root with in-vehicle wireless communication unit
Test result figure is drawn according to the packet drop and propagation delay time of data transmission, simulated environment schematic diagram refers to Fig. 3.
For proof scheme feasibility and algorithm validity, the present invention in simulated environment by the way of direct fault location,
Air interference is generated using interference source, reduces wireless network performance, analog wireless networks failure environment, according to live actual test
Data determine that scene and relevant parameter are as follows:
The case where simulation of scene 1 is switched to LTE-M network from WIFI network, WIFI network are believed using the 11 of 2.4G frequency range
Road, center frequency point 2.462GHz, direct fault location front signal intensity be -65dBm, signal-to-noise ratio 26.2, interference signal intensity be -
70dBm；Its data Propagation Simulation result is as shown in Figure 4.
The case where simulation of scene 2 is from LTE-M network switching to WIFI network, LTE-M network uses 1.8GHz frequency range, bandwidth
For 5M, direct fault location front signal intensity is -76dBm, and signal-to-noise ratio 28.1, interference signal intensity is -70dBm.The transmission of its data
Simulation result is as shown in Figure 5.
Fig. 4~Fig. 5 respectively show the data Propagation Simulation under two kinds of scenes as a result, in figure longitudinal axis mark data transmission
Time delay, unit are milliseconds, and horizontal axis is the time, and time delay is that zero point indicates that the bag data is lost suddenly.Curve respectively indicates in figure
Data delay in two kinds of data link of LTE-M and WIFI.By simulation result as can be seen that once currently used wireless network
When network breaks down, system can be rapidly switched to the wireless network of another superior performance.Simulation result shows that the present invention mentions
The ground of the vehicle applied to City Rail Transit System out multi-internet integration wireless communications method, can occur in active wireless network therefore
The transmission of car-ground radio data is kept when barrier using another network, this method has certain feasibility and validity.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment can
The mode of necessary general hardware platform can also be added to realize by software by software realization.Based on this understanding,
The technical solution of above-described embodiment can be embodied in the form of software products, which can store non-easy at one
In the property lost storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.), including some instructions are with so that a computer is set
Standby (can be personal computer, server or the network equipment etc.) executes method described in each embodiment of the present invention.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Within the technical scope of the present disclosure, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claims
Subject to enclosing.
Claims (4)
1. a kind of vehicle applied to City Rail Transit System ground multi-internet integration wireless communications method characterized by comprising
Utilize the radio signal quality parameter of the LTE-M network obtained from the route of actual motion and WIFI network and wireless
Link quality parameter constructs training sample set as characteristic attribute；
Using the training sample set of building and in conjunction with Bayesian Classification Arithmetic, training obtains Bayesian Classification Model；
The radio signal quality parameter and radio link quality parameter of acquisition LTE-M network and WiFi network in real time, and utilize
Bayesian Classification Model is classified, and finally selects corresponding wireless network transmissions data according to the result of classification；Later, the period
Property using Bayesian Classification Model carry out wireless network categorizing selection, and judge with currently used wireless network whether phase
Together, start switching flow if not identical, if the same carry out the judgement of next cycle.
2. a kind of vehicle applied to City Rail Transit System according to claim 1 ground multi-internet integration side wireless communication
Method, which is characterized in that building training sample set, its step are as follows:
The radio signal quality parameter and Radio Link matter of LTE-M network and WIFI network are obtained from the route of actual motion
Measure parameter；The radio signal quality parameter include: LTE-M received signal strength parameter, WIFI received signal strength parameter,
LTE signal-to-noise ratio and WIFI signal-to-noise ratio；Radio link quality parameter includes LTE-M packet loss, WIFI packet loss, LTE-M transmission
Time delay, WIFI propagation delay time, LTE-M transmission rate and WIFI transmission rate；
According to the test statistics carried out in advance, sampled point set is generated as unit of rice in the line, each sampled point extracts it
The radio signal quality parameter and radio link quality parameter of LTE-M network and WIFI network, summarize as corresponding sampled point
Characteristic attribute set, then by way of manual examination and verification to each sampled point carry out optimal network partitions, complete training sample
The building of collection.
3. a kind of vehicle applied to City Rail Transit System according to claim 1 ground multi-internet integration side wireless communication
Method, which is characterized in that using the training sample set of building and in conjunction with Bayesian Classification Arithmetic, training obtains Bayes's classification mould
Type specifically includes:
The frequency of occurrences and each characteristic attribute division pair of each classification in training sample are calculated using Bayesian Classification Arithmetic
The conditional probability of each classification, final training obtain the Bayesian Classification Model selected for realizing network.
4. a kind of vehicle applied to City Rail Transit System according to claim 1 ground multi-internet integration side wireless communication
Method, which is characterized in that the radio signal quality parameter and radio link quality parameter of the LTE-M network and WIFI network are logical
Cross the acquisition of network monitor server.
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