CN104427534B - The soft detection method adopted of long term evolution and removable motion detection device - Google Patents

The soft detection method adopted of long term evolution and removable motion detection device Download PDF

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CN104427534B
CN104427534B CN201310403401.7A CN201310403401A CN104427534B CN 104427534 B CN104427534 B CN 104427534B CN 201310403401 A CN201310403401 A CN 201310403401A CN 104427534 B CN104427534 B CN 104427534B
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message
signaling data
soft
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signaling
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CN104427534A (en
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余立
梁燕萍
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China Mobile Communications Group Co Ltd
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China Mobile Communications Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

Abstract

The invention discloses a kind of soft detection methods adopted of LTE and removable motion detection device, to solve the problems, such as that the prior art can not be detected the soft accuracy adopted.In the present invention, by receiving the collected full dose signaling datas of SCA, according to the full dose signaling data received, the soft signalling accuracy adopted is detected;The full dose signaling data received is decoded, according to decoded signaling data and the full dose signaling data received, detects the soft signaling validity adopted;And, decoded signaling data is associated as to the signaling data of each user or each business, receive the original signaling data for eating dishes without rice or wine to send for carrying out self-test terminal UE, according to the signaling data after association and the original signaling data received, detect the soft signaling accuracy adopted, effectively the soft accuracy for adopting progress many aspects can be detected, so as to solve the problems, such as in the prior art not being detected the soft accuracy adopted.

Description

The soft detection method adopted of long term evolution and removable motion detection device
Technical field
The present invention relates to mobile communication system detection technique, more particularly, to a kind of long term evolution (LTE, Long Term Evolution) the soft detection method adopted and removable motion detection device.
Background technology
In order to meet the requirement of LTE network O&M, LTE system Optimization Work proposes the signaling based on LTE network element devices Soft adopt carries out network monitoring and maintenance.Soft adopt refers to signaling data when passing through interchanger, is restrained by corresponding software and completes letter Enable collecting work, be different from existing signaling link physical transfer by hardware, high-ohmic cross-connection or replicate shunt the methods of Carry out signal collecting.After LTE network flattening, traditional Abis/Iub interfaces disappear, the letter based on Abis/Iub interfaces Enable monitoring optimizing means that can not be continuing in 4G, therefore it is soft to propose the signaling based on the network element device output original signaling of full dose Adopt technical solution.
Fig. 1 shows the soft structure diagram for adopting framework of LTE, which includes:It is soft to adopt layer, inclusion layer and application layer, In, soft layer of adopting is included through traffic aggregation adapter (SCA, Signaling Convergence Adapter), mobile management The network element devices such as equipment (MME), gateway (S-GW), PDN Gateway (PDN-GW), strategy and charging control unit (PCRF), SCA acquires the original signaling data of full dose transmitted in said network element equipment by the mirror port in said network element equipment, and leads to It crosses IF1 interfaces and collected signaling and data is sent to inclusion layer;Inclusion layer closes the original signaling data of the full dose received It is recorded into relevant subscriber service, and according to different business diagnosis needs, data mining and processing is carried out to user record, answered Realize that application shows with layer, such as monitoring signaling, flow analysis, performance alarm, cell analysis, accurate marketing etc. application.
Soft in above-mentioned LTE adopts framework, to realize effective applied analysis and show, and it is accurate first will to acquire acquisition The original signaling data of full dose, still, the soft accuracy adopted can not be detected at present.
Invention content
The embodiment of the present invention provides a kind of soft detection methods adopted of LTE and removable motion detection device, to solve existing skill The problem of art can not be detected the soft accuracy adopted.
Technical solution of the embodiment of the present invention is as follows:
A kind of soft detection methods adopted of LTE, including:The collected full dose signaling datas of traffic aggregation adapter SCA are received, According to the full dose signaling data received, the soft signalling accuracy adopted is detected;The full dose signaling data received is carried out Decoding according to decoded signaling data and the full dose signaling data received, detects the soft signaling validity adopted;After decoding Signaling data be associated as the signaling data of each user or each business, receive carry out self-test terminal UE eat dishes without rice or wine what is sent Original signaling data according to the signaling data after association and the original signaling data received, detects the soft signaling accuracy adopted.
Wherein, according to the signaling data after association and the original signaling data received, the soft signaling accuracy adopted is detected, It specifically includes:Parsing association after signaling data determine association after signaling data type of message and message number and solution Type of message and message number that the original signaling data received determines collected original signaling data are analysed, after determining association Signaling data in it is all test UE type of messages and message number;According to the signaling data of all test UE after association The type of message and message number of type of message and message number and the original signaling data received detect the soft signaling adopted Completeness and/or the determining soft message error rate adopted.
Specifically, it according to the type of message of the signaling data of all test UE after association and message number and receives Original signaling data type of message and message number, detect the soft signaling completeness adopted, specifically include:After comparison association After the type of message of signaling data and the type of message of collected original signaling data of all test UE and comparison association The message number of signaling data of all test UE and the message number of collected original signaling data, in the message of comparison Content it is identical and compare message number it is identical in the case of, determine that soft adopt has signaling completeness.
According to the type of message of the signaling data of the test UE after association and message number and the original signaling received The type of message and message number of data determine the soft message error rate adopted, specifically include:Determine cell-level message error rate, User class message error rate, message-level message error rate or joint error rate;Wherein, determine that cell-level disappears according to equation below Cease error rate:
User class message error rate is determined according to equation below:
Message-level message error rate is determined according to equation below:
Unification message error rate is determined according to equation below:
Wherein, i is the soft number of cells adopted determined according to the signaling data after association, j be according to association after The soft UE quantity adopted that signaling data determines, k are the soft message class adopted determined according to the signaling data after association The quantity of type, RcellFor cell-level message error rate, RUEFor user class message error rate, RMESFor message-level message error rate, RjntFor unification message error rate, MijkKth kind for j-th of user in i-th of cell in the original signaling data that receives disappears Cease the message number of type, CijkFor the message number of the kth kind type of message of j-th of user in i-th of cell after association, M ' is the message total amount of the original signaling data received.
Further, the soft signaling accuracy adopted is detected, is further included:It is detailed that business is generated according to decoded signaling data Record xDR, according to xDR be associated with after signaling data, determine to be associated to power.
Wherein, the soft signalling accuracy adopted is detected, is specifically included:Detect whether soft adopt supports serial data transmission to assist View, and detect response/dont answer ACK/NACK data packets number, retransmit data packet number, received data packet number, determine soft adopt Link Packet Error Ratio, retransmission rate and soft adopt propagation delay time.
Wherein, according to decoded signaling data and the full dose signaling data received, the soft signaling validity adopted is detected, It specifically includes:According to the signaling data bag number of successfully decoded and the full dose signaling data bag number that receives, soft adopt is determined It is decoded into power.
Further, this method determines the soft Key Performance Indicator adopted also according to the signaling data after association and xDR KPI receives the existing net KPI from existing network management or signalling analysis platform, and by comparing the soft KPI adopted and now netting KPI, detection is existing The KPI accuracys of network management or signalling analysis platform, that is, for same type of KPI, the error rate of the KPI of the type is:It is existing Net the difference of the KPI and soft KPI adopted and the quotient of the soft KPI adopted.Wherein, KPI is included at least:Radio resource control RRC connects into Power, RRC reconstructions ratio, RRC is successfully established number, RRC connection reconstruction number of success connects with RRC and establishes request number of times.
This method is also according to the result of the existing network management of detection or the KPI accuracys of signalling analysis platform, xDR and receives Full dose signaling data optimizes analysis to the soft subject area adopted;Network quality assessment is carried out according to the result of optimization analysis.
A kind of soft removable motion detection devices adopted of LTE, the device are moveable self-contained unit, which includes:It receives Module, for receiving the collected full dose signaling datas of traffic aggregation adapter SCA;It receives and carrys out self-test terminal UE and eat dishes without rice or wine to send out The original signaling data sent;First detection module, for according to the full dose signaling data received, detecting the soft signalling adopted Accuracy;Decoder module, for being decoded to the full dose signaling data received;Second detection module, for according to decoding Signaling data afterwards and the full dose signaling data received, detect the soft signaling validity adopted;Relating module, for it will decode after Signaling data be associated as the signaling data of each user or each business;Third detection module, after according to association Signaling data and the original signaling data received detect the soft signaling accuracy adopted.
Wherein, third detection module specifically includes:Analyzing sub-module determines to be associated with for parsing the signaling data after being associated with The original signaling data that the type of message and message number of signaling data afterwards and parsing receive determines collected original The type of message and message number of signaling data;Determination sub-module, for determining all test UE in the signaling data after association Type of message and message number;First detection sub-module, for disappearing for the signaling data according to all test UE after association Type and the type of message and message number of message number and the original signaling data received are ceased, it is complete to detect the soft signaling adopted Standby property;Second detection sub-module, for the type of message and message number of the signaling data according to all test UE after association And the type of message and message number of the original signaling data received, determine the soft message error rate adopted.
First detection sub-module, is specifically used for:Comparison association after all test UE signaling data type of message and The message number of the signaling data of all test UE after the type of message of collected original signaling data and comparison association With the message number of collected original signaling data, it is identical in the message content of comparison and compare message number it is identical In the case of, determine that soft adopt has signaling completeness.
Second detection sub-module, is specifically used for:Determine cell-level message error rate, user class message error rate, message-level Message error rate or joint error rate;Wherein, cell-level message error rate is determined according to equation below:
User class message error rate is determined according to equation below:
Message-level message error rate is determined according to equation below:
Unification message error rate is determined according to equation below:
Wherein, i is the soft number of cells adopted determined according to the signaling data after association, j be according to association after The soft UE quantity adopted that signaling data determines, k are the soft message class adopted determined according to the signaling data after association The quantity of type, RcellFor cell-level message error rate, RUEFor user class message error rate, RMESFor message-level message error rate, RjntFor unification message error rate, MijkKth kind for j-th of user in i-th of cell in the original signaling data that receives disappears Cease the message number of type, CijkFor the message number of the kth kind type of message of j-th of user in i-th of cell after association, M ' is the message total amount of the original signaling data received.
Further, relating module is additionally operable to record xDR in detail according to decoded signaling data generation business;Then, Three detection modules, further include:Third detection sub-module, for according to xDR be associated with after signaling data, determine to be successfully associated Rate.
First detection module is specifically used for:Detect whether soft adopt supports serial data transport protocol, and detect response/should It answers ACK/NACK data packets number, retransmit data packet number, received data packet number, determine soft to adopt link Packet Error Ratio, retransmission rate Propagation delay time is adopted with soft.
Second detection module is specifically used for:According to the signaling data bag number of successfully decoded and the full dose signaling number received According to packet number, determine it is soft adopt be decoded into power.
Preferably, receiving module is additionally operable to receive the existing net KPI from existing network management or signalling analysis platform;
Described device further includes:4th detection module, for determining the soft pass adopted according to the signaling data after association and xDR Key performance indicator KPI, by comparing the soft KPI adopted and now netting KPI, the KPI for detecting existing network management or signalling analysis platform is accurate Property;Specifically, for same type of KPI, the error rate of the KPI of the type is:Now the difference of net KPI and the soft KPI adopted with The quotient of the soft KPI adopted;Wherein, KPI is included at least:Radio resource control RRC connects into power, RRC rebuilds ratio, RRC is established Number of success, RRC connection reconstruction number of success connect with RRC and establish request number of times.
Preferably, described device further includes:Optimize analysis module, soft adopted for what is determined according to the 4th detection module KPI, the full dose signaling data that receives of the xDR that determines of relating module and receiving module optimize analysis;Quality is commented Module is estimated, for carrying out network quality assessment according to the result of optimization analysis.
The technical solution provided according to embodiments of the present invention, by receiving the collected full dose signaling datas of SCA, according to connecing The full dose signaling data received detects the soft signalling accuracy adopted;The full dose signaling data received is decoded, root According to decoded signaling data and the full dose signaling data received, the soft signaling validity adopted is detected;It and will be decoded Signaling data is associated as the signaling data of each user or each business, receives the original for eating dishes without rice or wine to send for carrying out self-test terminal UE Beginning signaling data according to the signaling data after association and the original signaling data received, detects the soft signaling accuracy adopted, energy It is enough that effectively soft adopt is carried out by the accuracys of many aspects is detected, so as to solve in the prior art can not to it is soft adopt it is accurate The problem of property is detected.
Also, the embodiment of the present invention determines the soft Key Performance Indicator KPI adopted also according to the signaling data after association, receives Existing net KPI from existing network management or signalling analysis platform, nets according to the soft KPI adopted and now KPI, detects existing network management or signaling The KPI accuracys of analysis platform can further carry out deeper accuracy detection;And according to the existing network management of detection or Result, xDR and the full dose signaling data received of the KPI accuracys of signalling analysis platform carry out the soft subject area adopted Optimization is analyzed and carries out network quality assessment, can provide foundation and reference for the network optimization.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification It obtains it is clear that being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write Specifically noted structure is realized and is obtained in book, claims and attached drawing.
Description of the drawings
Fig. 1 is the soft structure diagram for adopting framework of LTE;
Fig. 2 is the work flow diagram of the soft detection methods adopted of LTE provided in an embodiment of the present invention;
Fig. 3 is another work flow diagram of the soft detection methods adopted of LTE provided in an embodiment of the present invention;
Fig. 4 is the soft structure diagrams of removable motion detection device adopted of LTE provided in an embodiment of the present invention;
Fig. 5 is the structure diagram of third detection module in Fig. 4;
Fig. 6 is another structure diagram of the soft removable motion detection devices adopted of LTE provided in an embodiment of the present invention;
Fig. 7 is the structure diagram of the soft removable motion detection devices adopted of LTE provided in an embodiment of the present invention in a particular application.
Specific embodiment
The embodiment of the present invention is illustrated below in conjunction with attached drawing, it should be understood that embodiment described herein is only used In the description and interpretation present invention, it is not intended to limit the present invention.
The problem of for that can not be detected in the prior art to the soft accuracy adopted, an embodiment of the present invention provides one kind The soft detection methods adopted of LTE and removable motion detection device, to solve the problems, such as this.
Present invention accuracy adopted soft to LTE from two levels is detected, and first level is detection bottom data The accuracy of transmission, second level are the accuracy for detecting upper layer application.First level includes the soft signaling adopted of detection Accuracy, the soft signaling validity adopted of detection and the soft signaling accuracy adopted of detection are transmitted, it is existing that second level includes detection The Key Performance Indicator of network management or signalling analysis platform (KPI, Key Performance Indicator) accuracy.That is, First level is detected the accuracy of bottom data transmission in more comprehensive range, and second level should to upper strata It is detected with the accuracy of aspect, so as to carry out reliable and effective detection to the soft accuracy adopted, disclosure satisfy that multi-party The detection demand in face.
The technical solution of the embodiment of the present invention is described in detail below.
Fig. 2 shows the work flow diagram of the soft detection methods adopted of LTE provided in an embodiment of the present invention, this method can be It is performed in one device independently of soft extraction system, this method includes:
Step 201 receives the collected full dose signaling datas of SCA, and according to the full dose signaling data received, detection is soft to adopt Signalling accuracy;
Specifically, detect whether soft adopt supports serial data transport protocol, and detect response/dont answer ACK/NACK data Packet number retransmits data packet number, received data packet number, determines soft to adopt link Packet Error Ratio, retransmission rate and soft adopt propagation delay time; Wherein, it detects whether soft adopt supports serial data transport protocol, and detects response/dont answer ACK/NACK data packets number, again Data packet number, received data packet number are passed, determines that soft link Packet Error Ratio, retransmission rate and the soft method for adopting propagation delay time of adopting passes through Relevant method is realized in the prior art;
Step 202 is decoded the full dose signaling data received, according to decoded signaling data and receives Full dose signaling data detects the soft signaling validity adopted;
Specifically, it according to the signaling data bag number of successfully decoded and the full dose signaling data bag number received, determines It is soft adopt be decoded into power;Wherein it is determined that being decoded into power can be realized by correlation technique of the prior art;
Step 203, the signaling data that decoded signaling data is associated as to each user or each business are received and The original signaling data for eating dishes without rice or wine to send of self-test terminal UE, according to the signaling data after association and the original signaling number received According to the soft signaling accuracy adopted of detection.
Specifically, detecting the soft signaling accuracy adopted can be detected by following aspect:Detection is associated to power, detects The soft signaling completeness adopted and/or the determining soft message error rate adopted;
Detection is associated to power, can generate business according to decoded signaling data and record (xDR) in detail, according to business In detail record be associated with after signaling data, determine to be associated to power;Wherein, the form of xDR and content can refer to existing skill The form and content of xDR in art determines that being associated to power can be realized by correlation technique of the prior art;
Before detecting the soft signaling completeness adopted and/or determining the soft message error rate adopted, the signaling after parsing association Data determine that the type of message of the signaling data after association and message number and the original signaling data that receives of parsing determine The type of message and message number of collected original signaling data determines that all test UE disappear in the signaling data after association Cease type and message number;Then, according to the type of message of the signaling data of all test UE after association and message number with And the type of message and message number of the original signaling data received, detect the soft signaling completeness adopted;
Specifically, the type of message of the signaling data of all test UE after comparison association and collected original signaling number According to type of message and comparison association after all test UE signaling data message number and collected original signaling The message number of data in the case that the message content in comparison is identical and the message number that compares is identical, determines soft to adopt tool Standby signaling completeness;
Specifically, message error rate can include cell-level message error rate, user class message error rate, message-level message Error rate or joint error rate;
Cell-level message error rate is determined according to equation below:
User class message error rate is determined according to equation below:
Message-level message error rate is determined according to equation below:
Unification message error rate is determined according to equation below:
Wherein, i is the soft number of cells adopted determined according to the signaling data after association, j be according to association after The soft UE quantity adopted that signaling data determines, k are the soft message class adopted determined according to the signaling data after association The quantity of type, RcellFor cell-level message error rate, RUEFor user class message error rate, RMESFor message-level message error rate, RjntFor unification message error rate, MijkKth kind for j-th of user in i-th of cell in the original signaling data that receives disappears Cease the message number of type, CijkFor the message number of the kth kind type of message of j-th of user in i-th of cell after association, M ' is the message total amount of the original signaling data received;
Wherein, the quantity of the message of UE is determined in signaling data after association, it can be according to user identifier (wireless network Temporary identifier (RNTI, Cell Radio Network Temporary Identifier), interim identity (TMSI, Temporary Mobile Subscriber Identity) or international member identification code (IMSI, International Mobile Subscriber Identification Number)) it determines, determine the message number of cell, it can be according to small Area identifies (Physical Cell Identifier (PCI, Physical Cell Identifier or cellular global identity (CGI, Cell Global Identifier) it determines, it determines the message number of a certain type of message, can be determined according to type of message;
By above-mentioned processing procedure, by receiving the collected full dose signaling datas of SCA, according to the full dose signaling received Data detect the soft signalling accuracy adopted;The full dose signaling data received is decoded, according to decoded signaling Data and the full dose signaling data received detect the soft signaling validity adopted;And decoded signaling data is associated as Each user or the signaling data of each business receive the original signaling data for eating dishes without rice or wine to send for carrying out self-test terminal UE, root According to the signaling data after association and the original signaling data received, the soft signaling accuracy adopted is detected, it can be effectively to soft The accuracy detection for carrying out many aspects is adopted, so as to solve the soft accuracy adopted can not be detected in the prior art Problem.
Preferably, as shown in figure 3, on the basis of method as indicated with 2, the soft inspections adopted of LTE provided in an embodiment of the present invention Survey method further includes:
Step 204 determines soft Key Performance Indicator (KPI, the Key adopted according to the signaling data after association and xDR Performance Indicator) it receives from existing network management or signalling analysis platform (such as OMC webmasters or soft extraction system Shared platform) existing net KPI, by comparing the soft KPI adopted and now net KPI, detect existing network management or signalling analysis platform KPI accuracys;
Wherein, KPI is included at least:Wireless heterogeneous networks (RRC, Radio Resource Control) connect into power, RRC reconstructions ratio, RRC is successfully established number, RRC connection reconstruction number of success connects with RRC and establishes request number of times;
Specifically, for same type of KPI, the error rate of the KPI of the type is:The now difference of the net KPI and soft KPI adopted Value and the quotient of the soft KPI adopted;
Step 205 according to the result of the existing network management of detection or the KPI accuracys of signalling analysis platform, xDR and receives Full dose signaling data optimizes analysis to the soft subject area adopted;
Step 206 carries out network quality assessment according to the result of optimization analysis.
By processing procedure shown in Fig. 3, the embodiment of the present invention also is able to detect existing network management or signalling analysis platform KPI accuracys, can further carry out upper layer application accuracy detection;And it optimizes analysis and carries out network matter Amount assessment, can provide foundation and reference for the network optimization.
So as to according to fig. 2 with processing procedure shown in Fig. 3, can more comprehensively to bottom data transmission accuracy into Row detection and more in depth the accuracy in terms of upper layer application is detected, so as to the soft accuracy adopted into The reliable and effective detection of row, disclosure satisfy that various detection demands.
Based on identical inventive concept, the embodiment of the present invention additionally provides a kind of soft removable motion detection devices adopted of LTE, should Device is a kind of moveable self-contained unit.
Fig. 4 shows the soft structure diagrams of removable motion detection device adopted of LTE provided in an embodiment of the present invention, the device packet It includes:
Receiving module 41, for receiving the collected full dose signaling datas of traffic aggregation adapter SCA;It receives and carrys out self-test The original signaling data for eating dishes without rice or wine to send of terminal UE;
First detection module 42 is connected to receiving module 41, for the full dose signaling number received according to receiving module 41 According to the soft signalling accuracy adopted of detection;
Specifically, first detection module 42 detects whether soft adopt supports serial data transport protocol, and detect response/should It answers ACK/NACK data packets number, retransmit data packet number, received data packet number, determine soft to adopt link Packet Error Ratio, retransmission rate Propagation delay time is adopted with soft;
Decoder module 43 is connected to receiving module 41, and the full dose signaling data for being received to receiving module 41 carries out Decoding;
Second detection module 44, is connected to decoder module 43, for according to 43 decoded signaling data of decoder module and The full dose signaling data received detects the soft signaling validity adopted;
Specifically, the second detection module 44 is according to the signaling data bag number of successfully decoded and the full dose signaling number received According to packet number, determine it is soft adopt be decoded into power;
Relating module 45 is connected to decoder module 43, for 43 decoded signaling data of decoder module to be associated as respectively A user or the signaling data of each business;
Third detection module 46 is connected to relating module 45, for according to relating module 45 be associated with after signaling data and The original signaling data received detects the soft signaling accuracy adopted.
As shown in figure 5, third detection module 46 includes:Analyzing sub-module 461, determination sub-module 462, first detect submodule Block 463, the second detection sub-module 464 and third detection sub-module 465;
Analyzing sub-module 461 is connected to relating module 45, is determined for parsing the signaling data after relating module 45 is associated with The original signaling data that the type of message and message number of signaling data after association and parsing receive determines collected The type of message and message number of original signaling data;
Determination sub-module 462 is connected to analyzing sub-module 461, for determining all tests in the signaling data after association The type of message and message number of UE;
First detection sub-module 463, is connected to determination sub-module 462 and receiving module 41, for according to the institute after association There is the type of message of the signaling data of test UE and the type of message of message number and the original signaling data received and disappear Quantity is ceased, detects the soft signaling completeness adopted;
Specifically, the first detection sub-module 463 comparison association after all test UE signaling data type of message and The message number of the signaling data of all test UE after the type of message of collected original signaling data and comparison association With the message number of collected original signaling data, it is identical in the message content of comparison and compare message number it is identical In the case of, determine that soft adopt has signaling completeness;
Second detection sub-module 464, is connected to determination sub-module 462 and receiving module 41, for according to the institute after association There is the type of message of the signaling data of test UE and the type of message of message number and the original signaling data received and disappear Quantity is ceased, determines the soft message error rate adopted.
Specifically, 464 second detection sub-module of the second detection sub-module, is specifically used for:
Determine cell-level message error rate, user class message error rate, message-level message error rate or joint error rate; Wherein,
Cell-level message error rate is determined according to equation below:
User class message error rate is determined according to equation below:
Message-level message error rate is determined according to equation below:
Unification message error rate is determined according to equation below:
Wherein, i is the soft number of cells adopted determined according to the signaling data after association, j be according to association after The soft UE quantity adopted that signaling data determines, k are the soft message class adopted determined according to the signaling data after association The quantity of type, RcellFor cell-level message error rate, RUEFor user class message error rate, RMESFor message-level message error rate, RjntFor unification message error rate, MijkKth kind for j-th of user in i-th of cell in the original signaling data that receives disappears Cease the message number of type, CijkFor the message number of the kth kind type of message of j-th of user in i-th of cell after association, M ' is the message total amount of the original signaling data received;
Relating module 45 is additionally operable to generate xDR according to decoded signaling data;Then,
Third detection sub-module 465 is connected to relating module 45, for the xDR generated according to relating module 45 and association Signaling data afterwards determines to be associated to power.
According to device shown in Fig. 4, by receiving the collected full dose signaling datas of SCA, believed according to the full dose received Data are enabled, detect the soft signalling accuracy adopted;The full dose signaling data received is decoded, according to decoded letter Data and the full dose signaling data received are enabled, detect the soft signaling validity adopted;And decoded signaling data is associated with For each user or the signaling data of each business, the original signaling data for eating dishes without rice or wine to send for carrying out self-test terminal UE is received, According to the signaling data after association and the original signaling data received, the soft signaling accuracy adopted is detected, it can be effectively right It is soft to adopt the accuracy detection for carrying out many aspects, so as to solve in the prior art not being detected the soft accuracy adopted The problem of.
Preferably, as shown in fig. 6, on the basis of device shown in Fig. 4, LTE provided in an embodiment of the present invention is soft adopt can Motion detection device further includes:4th detection module 47, optimization analysis module 48 and quality assessment modules 49;
Receiving module 41 is additionally operable to receive the existing net KPI from existing network management or signalling analysis platform;
4th detection module 47 is connected to relating module 45 and receiving module 41, after being associated with according to relating module 45 Signaling data and xDR determine the soft KPI adopted, the existing net KPI received according to the soft KPI adopted and receiving module 41, detection is existing The KPI accuracys of network management or signalling analysis platform;
Wherein, KPI is included at least:RRC connects into power, RRC rebuilds ratio, RRC is successfully established number, RRC connections weight It builds number of success and is connected with RRC and establish request number of times;
Specifically, for same type of KPI, the error rate of the KPI of the type is:The now difference of the net KPI and soft KPI adopted Value and the quotient of the soft KPI adopted.
Optimize analysis module 48, be connected to the 4th detection module 47, relating module 45 and receiving module 41, for according to the The xDR and receiving module 41 that the soft KPI adopted, the relating module 45 that four detection modules 47 determine determine receive complete Amount signaling data optimizes analysis;
Quality assessment modules 49 are connected to optimization analysis module 48, for according to the optimization optimization analysis of analysis module 48 As a result network quality assessment is carried out.
According to Fig. 6 shown devices, additionally it is possible to further carry out the accuracy detection of upper layer application;And it optimizes point It analyses and carries out network quality assessment, foundation and reference can be provided for the network optimization.
So as to according to Fig. 4 and device shown in fig. 6, can more comprehensively be examined to the accuracy of bottom data transmission It surveys and more in depth the accuracy in terms of upper layer application is detected, the accuracy progress so as to adopt to soft can By effectively detecting, various detection demands are disclosure satisfy that.
The situation of concrete application of the embodiment of the present invention is illustrated below.
Fig. 7 shows the structure of the soft removable motion detection devices adopted of LTE provided in an embodiment of the present invention in a particular application Block diagram, the device include:Handle applying unit 71 and detection unit 72;
It handles applying unit 711 and includes data reception module 711, data memory module 712, signaling decoding module 713, letter It enables relating module 714, KPI indicator-specific statistics module 715, network optimization analysis and module 716 is presented, detection unit 72 includes interface Transmit detection module 721, signaling validation checking module 722, signaling accuracy detection module 723, the detection of KPI indexs accuracy Module 724, network quality evaluation module 725 and interface module 726.
Wherein, the receiving module 41 that data reception module 711 corresponds in Fig. 2 or Fig. 3 receives the collected full dose letters of SCA The funtion part of data is enabled, signaling decoding module 713 corresponds to the decoder module 73 in Fig. 2 or Fig. 3, signalling correlated module 714 Corresponding to the relating module 75 in Fig. 2 or Fig. 3, KPI indicator-specific statistics module 715 corresponds to the 4th detection module 47 in Fig. 3 The soft funtion part of Key Performance Indicator KPI adopted, network optimization analysis and presentation are determined according to the signaling data after association and xDR Module 716, which corresponds to, optimizes analysis module 48 in Fig. 3, interface transmission detection module 721 corresponds to the first inspection in Fig. 2 or Fig. 3 Module 72 is surveyed, signaling validation checking module 722 corresponds to the second detection module 74 in Fig. 2 or Fig. 3, the detection of signaling accuracy Module 723 corresponds to Fig. 3 or the third detection module 76 in spitting, and KPI index accuracys detection module 724 corresponds in Fig. 3 the Four detection modules 47 net the function of the KPI accuracys of the existing network management of KPI detections or signalling analysis platform according to the soft KPI adopted and now Part, network quality evaluation module 725 correspond to quality assessment modules 49 in Fig. 3, and interface module 726 corresponds in Fig. 2 or Fig. 3 Receiving module 41, which receives, to be carried out the original signaling data for eating dishes without rice or wine to send of self-test terminal UE, receives from existing network management or signaling point Analyse the funtion part of the existing net KPI of platform.
Data reception module 711 supports serial data transmission (SDTP) agreement, can receive the full dose signaling number from SCA According to signaling encapsulation format meets IF1 standard interface requirements.
Data memory module 712 is connected to data reception module 711, receives for storing data reception module 711 Full dose signaling data;
Signaling decoding module 713 is connected to data memory module 712, and full dose signaling data is decoded, and realizes IF1 Interface decapsulates and the parsing function of original agreement signaling, exports decoded message data;
Signalling correlated module 714, is connected to signaling decoding module 713, by the letter from same user or with a business Message is enabled to be associated, the signaling data after output association, and outgoing traffic records (xDR) in detail;
KPI indicator-specific statistics module 715 is connected to signalling correlated module 714, based on the output of signalling correlated module 714 XDR, the KPI indexs of statistics network, as RRC connect into power, RRC rebuild that ratio, RRC are successfully established number, RRC connections weigh It builds number of success and is connected with RRC and establish request number of times etc.;
The network optimization is analyzed and module 716 is presented, and is connected to KPI indicator-specific statistics module 715 and signalling correlated module 714, Obtained KPI indexs are counted to KPI indicator-specific statistics module 715, after the xDR records that signalling correlated module 714 exports and decoding Signaling data carry out upper layer application analysis, and realize that interface and GIS-Geographic Information System (GIS) are presented;
Interface transmits detection module 721, is connected to data reception module 711, for periodically detecting the number of IF1 interfaces transmission According to stream mode, whether verification main equipment supports SDTP transport protocols, and generate IF1 interface error codes rate, propagation delay time and handling capacity The examining report of index, the outputting alarm information in Indexes Abnormality.
Signaling validation checking module 722 is connected to signaling decoding module 713, receives defeated from signaling decoding module 713 The signaling gone out, generation are decoded into the examining report of power index;
Interface module 726 receives the original signaling data for carrying out self-test terminal, original signaling data is fitted into line interface Match, obtain the satisfactory original signaling data of data format;The KPI indexs from existing network management OMC are also received, KPI is referred to It marks and is adapted into line interface, obtain the satisfactory KPI indexs of data format;
Signaling accuracy detection module 723 is connected to signalling correlated module 714 and interface module 726, and analysis is from signaling The xDR of relating module 714, count signaling is associated to power index;Signaling data after being associated with according to signalling correlated module 714 The original signaling data received with interface module 726 analyzes the soft accuracy for accepting and believing order namely analysis signaling completeness and disappears Cease error rate;It is different according to the statistics granularity to signaling data in the processing for analyzing message error rate, user class mistake can be analyzed Rate, cell-level error rate, message-level error rate or joint error rate.User class error rate with user identifier (RNTI, TMSI, IMSI it) is counted for index, cell-level error rate is counted with cell designation (PCI, CGI) for index, message-level mistake Rate is counted with type of message (Message Type) for index, and joint error rate is with user identifier, cell ID and message Type is counted for index;
KPI index accuracys detection module 724, is connected to KPI indicator-specific statistics module 715 and interface module 726, will come from The KPI indexs from existing net gateway that the KPI indexs and interface module 726 of KPI indicator-specific statistics module 715 receive carry out pair Than determining KPI accuracys;
Network quality evaluation module 725 is connected to network optimization analysis and module 716 is presented, analyzed according to the network optimization Network quality assessment is carried out with the optimization analysis result that module 716 is presented, obtains the soft network quality assessment report for adopting pickup area It accuses.
With reference to the operation principle of specific 7 shown device of application scenarios definition graph.
Scene one
In this scenario, test terminal (such as more UE emulators) initiates business, and SCA acquires the full dose that more UE emulation are sent Signaling data, soft removable motion detection device (the referred to as MSE, Mobile Signaling Examine adopted of LTE shown in Fig. 7 Equipment) accuracy that bottom data transmission is carried out for the soft full dose signaling data adopted detects, the processing procedure packet of detection It includes:
Step 1: more UE emulators initiate business, more UE emulators record each imitation user and are handed in communication process Mutual original signaling;
Step 2: SCA receives the full dose signaling data exported by the mirror port of E-NodeB or MME;
Step 3: the data reception module 711 of MSE shown in Fig. 7 passes through full dose signaling of the IF1 interfaces from SCA Data;
Step 4: the interface transmission detection module 721 of MSE detects whether SCA supports by detecting with SCA communication process Serial data transport protocol, and detect the quantity of ACK message and NACK message and retransmit packet number detection Packet Error Ratio, retransmission rate, biography Defeated time delay;
Step 5: the full dose signaling data that 713 data reception module 711 of signaling decoding module of MSE receives is solved Code;
Step 6: the signaling validation checking module 722 of MSE determines 713 decoded signaling data of signaling decoding module Detect decoding rate;
Step 7: the signalling correlated module 714 of MSE is associated 713 decoded signaling data of signaling decoding module, And obtain xDR;
Step 8: the interface module 726 of MSE receives the original signaling data from more UE emulators;
Step 9: the signaling accuracy detection module 723 of MSE is to the signaling after the association from signalling correlated module 714 Data and xDR and original signaling data from interface module 726 are parsed, and obtain analysis result table as shown in Table 1, and According to the table statistical message error rate;
Table 1 includes parsing record number, cell ID (PCI), user identifier (RNTI), type of message, base value (i.e. The quantity of original signaling data that interface module 726 receives) with soft statistical number of adopting (after i.e. signalling correlated module 714 is associated with The quantity of signaling data);
Table 1
Record number Cell ID User identifier Type of message Base value It is soft to adopt statistical number
1 46 32 RRC Connenct Requset M_1 C_1
2 46 12 Measurement Report M_2 C_2
3 48 18 Measurement Report M_3 C_3
N 72 12 RRC Conn Release M_N C_N
Specifically, cell-level error rate:Using cell ID as statistical dimension, other dimensions count mistake after merging Rate, Rcell=(| (C_1+C_2)-(M_1+M_2) |+| C_3-M_3 |+...+| C_N-M_N |)/(M_1+M_2+M_3 ...+M_N);
User class error rate:Using user identifier as statistical dimension, other dimensions count error rate, R after mergingUE=(| C_1-M_1|+|(C_2+C_N)-(M_2+M_N)|…+|C_3-M_3|)/(M_1+M_2+M_3…+M_N)
Message-level error rate:Using type of message as statistical dimension, other dimensions count error rate, R after mergingMSG= (|C_1-M_1|+|(C_2+C3)-(M_2+M_3)|…+|C_N-M_N|)/(M_1+M_2+M_3…+M_N);
Joint error rate:With cell-three kinds of user-message dimension joint statistics, it is desirable that the determining item of items mark joint Mesh number is consistent with verification data, this index is to accuracy requirement highest, Rjnt=(| C_1-M_1 |+| C_2-M_2 |+| C_3-M_3 |…+|C_N-M_N|)/(M_1+M_2+M_3…+M_N)。
The soft accuracy for adopting progress bottom data transmission can be detected by the above process.
Scene two
In scene two, the soft KPI accuracys adopted of provincial soft extraction system are detected in outfield, this was detected Journey is included as a kind of step one of scene is to step 9, and further includes following steps:
Step 10: the signaling data after the KPI indicator-specific statistics module 715 of MSE is associated with according to signalling correlated module 714 carries out KPI is counted, and obtains the soft KPI adopted;
Step 11: the interface module 726 of MSE receives existing net OMC for more UE simulators in the provincial movement The existing net KPI of business statistics is initiated in network;
Step 12: soft the adopting of receiving that 715 statistics of KPI indicator-specific statistics module obtains of KPI index accuracys detection module 724 KPI and the existing net KPI that receives of interface module 726, obtain KPI record sheets as shown in Table 2, table 2 include record number, KPI types now net KPI and soft adopt KPI, and the content according to table 2 determines the error rate of KPI;
Table 2
Specifically, RRC connects into error rate=(X_1-Y-1)/Y_1, RRC reconstruction ratio error rate=(X_N- of power Y_N)/Y_N;
Step 13: MSE the network optimization analysis and present module 716 obtained according to KPI indicator-specific statistics module 715 it is soft Adopt KPI, the full dose signaling data that the xDR that signalling correlated module 714 obtains and data reception module 711 receive optimizes point Analysis obtains optimization analysis result, and optimization analysis result is presented;
Step 14: network quality evaluation module 725 analyzes and presents the optimization point that module 716 obtains according to the network optimization Analysis carries out network quality assessment, and generates network quality assessment report.
Pass through the processing procedure of scene two, additionally it is possible to which the accuracy in terms of the soft upper layer application adopted is detected.
So as to by scene one and scene two, reliable and effective detection be carried out to the soft accuracy adopted, disclosure satisfy that Various detection demands.
One of ordinary skill in the art will appreciate that all or part of step for realizing above-described embodiment method carrying is can Relevant hardware to be instructed to complete by program, the program can be stored in a kind of computer readable storage medium, The program when being executed, one or a combination set of the step of including embodiment of the method.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, it can also That each unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned integrated mould The form that hardware had both may be used in block is realized, can also be realized in the form of software function module.The integrated module is such as Fruit is realized in the form of software function module and is independent product sale or in use, can also be stored in a computer In read/write memory medium.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program Product.Therefore, the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the present invention Apply the form of example.Moreover, the computer for wherein including computer usable program code in one or more can be used in the present invention The shape of computer program product that usable storage medium is implemented on (including but not limited to magnetic disk storage and optical memory etc.) Formula.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in a box or multiple boxes.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art God and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies Within, then the present invention is also intended to include these modifications and variations.

Claims (20)

1. a kind of soft detection methods adopted of long term evolution LTE, which is characterized in that including:
The collected full dose signaling datas of traffic aggregation adapter SCA are received, according to the full dose signaling data received, detection is soft The signalling accuracy adopted;
The full dose signaling data received is decoded, according to decoded signaling data and the full dose signaling number received According to the soft signaling validity adopted of detection;
Decoded signaling data is associated as to the signaling data of each user or each business, receives and carrys out self-test terminal UE The original signaling data for eating dishes without rice or wine to send, according to the signaling data after association and the original signaling data that receives, detection is soft to adopt Signaling accuracy.
2. according to the method described in claim 1, it is characterized in that, according to the signaling data after association and the original letter received Data are enabled, the soft signaling accuracy adopted is detected, specifically includes:
Parsing association after signaling data determine association after signaling data type of message and message number and parsing receive To original signaling data determine the type of message and message number of collected original signaling data, determine the signaling after association The type of message and message number of all test UE in data;
According to the type of message of the signaling data of all test UE after association and message number and the original signaling received The type of message and message number of data detect the soft signaling completeness adopted and/or determine the soft message error rate adopted.
3. according to the method described in claim 1, it is characterized in that, the soft signalling accuracy adopted of detection, specifically includes:
It detects whether soft adopt supports serial data transport protocol, and detects response/dont answer ACK/NACK data packets number, retransmits Data packet number, received data packet number determine soft to adopt link Packet Error Ratio, retransmission rate and soft adopt propagation delay time.
4. according to the method described in claim 1, it is characterized in that, believed according to decoded signaling data and the full dose received Data are enabled, the soft signaling validity adopted is detected, specifically includes:
According to the signaling data bag number of successfully decoded and the full dose signaling data bag number that receives, determine it is soft adopt be decoded into Power.
5. according to the method described in claim 2, it is characterized in that, disappearing according to the signaling data of all test UE after association Type and the type of message and message number of message number and the original signaling data received are ceased, it is complete to detect the soft signaling adopted Standby property, specifically includes:
The type of message of signaling data of all test UE and the message class of collected original signaling data after comparison association The message number of signaling data of all test UE and the message of collected original signaling data after type and comparison association Quantity in the case that the type of message in comparison is identical and the message number that compares is identical, determines soft to adopt that have signaling complete Property.
6. according to the method described in claim 4, it is characterized in that, according to after association test UE signaling data message class The type of message and message number of type and message number and the original signaling data received determine the soft message error adopted Rate specifically includes:
Determine cell-level message error rate, user class message error rate, message-level message error rate or joint error rate;Its In,
Cell-level message error rate is determined according to equation below:
User class message error rate is determined according to equation below:
Message-level message error rate is determined according to equation below:
Unification message error rate is determined according to equation below:
Wherein, i is the soft number of cells adopted determined according to the signaling data after association, and j is according to the signaling after association The soft UE quantity adopted that data determine, k are the soft type of message adopted determined according to the signaling data after association Quantity, RcellFor cell-level message error rate, RUEFor user class message error rate, RMESFor message-level message error rate, RjntFor Unification message error rate, MijkKth kind type of message for j-th of user in i-th of cell in the original signaling data that receives Message number, CijkFor the message number of the kth kind type of message of j-th of user in i-th of cell after association, M ' is connects The message total amount of the original signaling data received.
7. according to the method described in claim 1, it is characterized in that, the soft signaling accuracy adopted of detection, further includes:
Business is generated according to decoded signaling data and records xDR in detail, according to xDR and the signaling data after be associated with, determining pass It is unified into power.
8. the method according to the description of claim 7 is characterized in that the method further includes:
The soft Key Performance Indicator KPI adopted is determined according to the signaling data after association and xDR, is received from existing network management or signaling The existing net KPI of analysis platform by comparing the soft KPI adopted and now netting KPI, detects the KPI of existing network management or signalling analysis platform Accuracy;
Wherein, KPI is included at least:Radio resource control RRC connects into power, RRC rebuilds ratio, RRC is successfully established number, RRC connection reconstruction number of success is connected with RRC establishes request number of times.
9. according to the method described in claim 8, it is characterized in that, the accuracy of the soft KPI adopted of detection, specifically includes:
For same type of KPI, the error rate of the KPI of the type is:Now the difference of net KPI and the soft KPI adopted is adopted with soft The quotient of KPI.
10. according to the method described in claim 8, it is characterized in that, the method further includes:
According to the existing network management of detection or result, xDR and the full dose signaling number received of the KPI accuracys of signalling analysis platform According to optimizing analysis to the soft subject area adopted;
Network quality assessment is carried out according to the result of optimization analysis.
11. the soft removable motion detection devices adopted of a kind of long term evolution LTE, which is characterized in that the device is moveable independent dress It puts, which includes:
Receiving module, for receiving the collected full dose signaling datas of traffic aggregation adapter SCA;It receives and carrys out self-test terminal UE Eat dishes without rice or wine send original signaling data;
First detection module, for according to the full dose signaling data received, detecting the soft signalling accuracy adopted;
Decoder module, for being decoded to the full dose signaling data received;
Second detection module, for according to decoded signaling data and the full dose signaling data received, detecting the soft letter adopted Enable validity;
Relating module, for decoded signaling data to be associated as to the signaling data of each user or each business;
Third detection module, for according to the signaling data after association and the original signaling data received, detecting the soft letter adopted Enable accuracy.
12. according to the devices described in claim 11, which is characterized in that third detection module specifically includes:
Analyzing sub-module, for parsing the type of message and message count that the signaling data after being associated with determines the signaling data after association The original signaling data that amount and parsing receive determines the type of message and message number of collected original signaling data;
Determination sub-module, for determining the type of message and message number of all test UE in the signaling data after association;
First detection sub-module, for the signaling data according to all test UE after association type of message and message number with And the type of message and message number of the original signaling data received, detect the soft signaling completeness adopted;
Second detection sub-module, for the signaling data according to all test UE after association type of message and message number with And the type of message and message number of the original signaling data received, determine the soft message error rate adopted.
13. according to the devices described in claim 11, which is characterized in that first detection module is specifically used for:
It detects whether soft adopt supports serial data transport protocol, and detects response/dont answer ACK/NACK data packets number, retransmits Data packet number, received data packet number determine soft to adopt link Packet Error Ratio, retransmission rate and soft adopt propagation delay time.
14. according to the devices described in claim 11, which is characterized in that the second detection module is specifically used for:
According to the signaling data bag number of successfully decoded and the full dose signaling data bag number that receives, determine it is soft adopt be decoded into Power.
15. device according to claim 12, which is characterized in that the first detection sub-module is specifically used for:
The type of message of signaling data of all test UE and the message class of collected original signaling data after comparison association The message number of signaling data of all test UE and the message of collected original signaling data after type and comparison association Quantity in the case that the type of message in comparison is identical and the message number that compares is identical, determines soft to adopt that have signaling complete Property.
16. device according to claim 12, which is characterized in that the second detection sub-module is specifically used for:
Determine cell-level message error rate, user class message error rate, message-level message error rate or joint error rate;Its In,
Cell-level message error rate is determined according to equation below:
User class message error rate is determined according to equation below:
Message-level message error rate is determined according to equation below:
Unification message error rate is determined according to equation below:
Wherein, i is the soft number of cells adopted determined according to the signaling data after association, and j is according to the signaling after association The soft UE quantity adopted that data determine, k are the soft type of message adopted determined according to the signaling data after association Quantity, RcellFor cell-level message error rate, RUEFor user class message error rate, RMESFor message-level message error rate, RjntFor Unification message error rate, MijkKth kind type of message for j-th of user in i-th of cell in the original signaling data that receives Message number, CijkFor the message number of the kth kind type of message of j-th of user in i-th of cell after association, M ' is connects The message total amount of the original signaling data received.
17. according to the devices described in claim 11, which is characterized in that relating module is additionally operable to according to decoded signaling number XDR is recorded in detail according to generation business;Then,
Third detection module, further includes:
Third detection sub-module, for according to xDR be associated with after signaling data, determine to be associated to power.
18. device according to claim 17, which is characterized in that receiving module, be additionally operable to receive from existing network management or The existing net KPI of signalling analysis platform;
Described device further includes:
4th detection module for determining the soft Key Performance Indicator KPI adopted according to the signaling data after association and xDR, passes through It compares the soft KPI adopted and now nets KPI, detect the KPI accuracys of existing network management or signalling analysis platform;
Wherein, KPI is included at least:Radio resource control RRC connects into power, RRC rebuilds ratio, RRC is successfully established number, RRC connection reconstruction number of success is connected with RRC establishes request number of times.
19. device according to claim 18, which is characterized in that the 4th detection module is specifically used for:
For same type of KPI, the error rate of the KPI of the type is:Now the difference of net KPI and the soft KPI adopted is adopted with soft The quotient of KPI.
20. device according to claim 18, which is characterized in that described device further includes:
Optimize analysis module, for being determined according to the soft KPI adopted, the relating module that the 4th detection module determines The full dose signaling data that xDR and receiving module receive optimizes analysis;
Quality assessment modules, for carrying out network quality assessment according to the result of optimization analysis.
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