CN105636107A - Assessment method of network quality and network side device - Google Patents

Assessment method of network quality and network side device Download PDF

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Publication number
CN105636107A
CN105636107A CN201410610557.7A CN201410610557A CN105636107A CN 105636107 A CN105636107 A CN 105636107A CN 201410610557 A CN201410610557 A CN 201410610557A CN 105636107 A CN105636107 A CN 105636107A
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network
network equipment
record
rate
business
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朱世军
肖丽华
谭耀斌
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ZTE Corp
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ZTE Corp
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Priority to CN201410610557.7A priority Critical patent/CN105636107A/en
Priority to PCT/CN2015/076906 priority patent/WO2016070584A1/en
Publication of CN105636107A publication Critical patent/CN105636107A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the invention discloses an assessment method of network quality. The method comprises the steps that: a network side device obtains a record of service after the service is completed; and the network side device assesses the network quality of the network based on network assessment parameters determined from the record. The embodiment of the invention also discloses a network side device.

Description

The appraisal procedure of a kind of network quality and network equipment
Technical field
The present invention relates to field of wireless, particularly relate to appraisal procedure and the network equipment of a kind of network quality.
Background technology
Along with the development of wireless network and the continuous of mobile subscriber size expand, user is more and more higher to the requirement of network quality, how correctly network of network quality to be estimated, it has also become an importance of network management.
For the problems referred to above, traditional way is the network quality that the complaint by user reflects current network, namely when user feels that network quality is bad or encounters problems, such as, network failure, network speed are slow especially, user can be complained to Virtual network operator by customer service system, the network problem that reflection runs into, the information that Virtual network operator is provided by customer service system, information is analyzed, network of network quality is estimated, then passes through the problem that user reflects and network is checked, solve network Problems existing. It is to say, the assessment of network quality to be depended on the complaint of user.
So, prior art exists network equipment and cannot independently assess the technical problem of network quality.
Summary of the invention
In view of this, embodiment of the present invention expectation provides appraisal procedure and the network equipment of a kind of network quality, to realize the network equipment autonomous assessment to network quality, make operator can find network Problems existing timely and accurately based on assessment result, and then solve this problem in time, improve Consumer's Experience.
For reaching above-mentioned purpose, the technical scheme is that and be achieved in that:
First aspect, the embodiment of the present invention provides the appraisal procedure of a kind of network quality, and described method includes: network equipment is after service ending, it is thus achieved that the record of described business; Described network of network quality, based on the network evaluation parameter determined from described record, is estimated by described network equipment.
Further, described network equipment is based on the network evaluation parameter determined from described record, described network of network quality is estimated, including: described network equipment is based on described record, the type of described business is identified, wherein, described type includes speech business and data service; Described network equipment determines the network evaluation parameter corresponding with described type from described record; Described network of network quality, based on described network evaluation parameter, is estimated by described network equipment.
Further, the type of described business, based on described record, is identified by described network equipment, including: described network equipment, based on described record, confirms that described business is speech business; Described network equipment is from described record, determine the network evaluation parameter corresponding with described type, including: described network equipment determines that from described record calling accesses the one or more combination in signal to noise ratio, call failure number of times, dropped call number of times, primary channel forward direction FER and the reverse FER of primary channel.
Further, the type of described business, based on described record, is identified by described network equipment, including: described network equipment, based on described record, confirms that described business is data service; Described network equipment is from described record, it is determined that go out the network evaluation parameter corresponding with described type, including: described network equipment determines the network evaluation parameter corresponding with described data service from described record.
Further, when described data service is for continuing high-quality downloading business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including: described network equipment determines forward wireless link agreement Mean Speed from described record.
Further, when described data service is for continuing common downloading business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including: described network equipment determines the busy ratio of Forward averaging scheduling rates, the average retransmission rate of forward wireless link agreement, average dynamic rate controlled erasure rate, convergent point mouth packet loss, reverse activity bits and average communication interface round trip time delay from described record.
Further, when described data service is for reversely uploading class business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, determines that reverse wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, average dynamic rate controlled erasure rate, average packet error rate and reverse activity bits do ratio including: described network equipment from described record.
Further, when described data service is front reverse symmetry class business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including: described network equipment determines reverse wireless link agreement Mean Speed, forward wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, the average retransmission rate of forward wireless link agreement and average dynamic rate controlled erasure rate from described record.
Further, when described data service is forward burst low discharge class business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including: described network equipment is determined average dynamic rate controlled speed from described record, is successfully accessed rate and drop rate.
Further, when described data service is the big class of traffic business of forward burst, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including: described network equipment is determined forward wireless link agreement Mean Speed, Forward averaging scheduling rates from described record, is successfully accessed rate and drop rate.
Second aspect, the embodiment of the present invention provides a kind of network equipment, and described network equipment includes: obtain unit and assessment unit; Wherein, described acquisition unit, for after service ending, it is thus achieved that the record of described business; Described assessment unit, for based on the network evaluation parameter determined from described record, being estimated described network of network quality.
Further, described assessment unit, specifically for based on described record, the type of described business being identified, wherein, described type includes speech business and data service; The network evaluation parameter corresponding with described type is determined from described record; Based on described network evaluation parameter, described network of network quality is estimated.
Further, described assessment unit, specifically for based on described record, confirming that described business is speech business; From described record, determine that calling accesses the one or more combination in signal to noise ratio, call failure number of times, dropped call number of times, primary channel forward direction FER and the reverse FER of primary channel.
Further, described assessment unit, specifically for based on described record, confirming that described business is data service; The network evaluation parameter corresponding with described data service is determined from described record.
Further, described assessment unit, specifically for when described data service is for continuing high-quality downloading business, determining forward wireless link agreement Mean Speed from described record.
Further, described assessment unit, specifically for when described data service is for continuing common downloading business, determining the busy ratio of Forward averaging scheduling rates, the average retransmission rate of forward wireless link agreement, average dynamic rate controlled erasure rate, convergent point mouth packet loss, reverse activity bits and average communication interface round trip time delay from described record.
Further, described assessment unit, specifically for when described data service is for reversely uploading class business, determining that from described record reverse wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, average dynamic rate controlled erasure rate, average packet error rate and reverse activity bits do ratio.
Further, described assessment unit, specifically for when described data service is front reverse symmetry class business, determining reverse wireless link agreement Mean Speed, forward wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, the average retransmission rate of forward wireless link agreement and average dynamic rate controlled erasure rate from described record.
Further, described assessment unit, specifically for when described data service is forward burst low discharge class business, determining average dynamic rate controlled speed, be successfully accessed rate and drop rate from described record.
Further, described assessment unit, specifically for when described data service is the big class of traffic business of forward burst, determining forward wireless link agreement Mean Speed, Forward averaging scheduling rates, be successfully accessed rate and drop rate from described record.
The appraisal procedure of the network quality that the embodiment of the present invention provides and network equipment, when after the service ending that user is undertaken by network, network equipment obtains the record that this business is corresponding, and determine network evaluation parameter from record, the network quality of current network is estimated, thus achieve network equipment independently network of network quality to be estimated, so, when network goes wrong, operator can according to the network equipment assessment result for network quality, find out in-problem place as early as possible, so that solving a problem promptly, improve Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is the appraisal procedure schematic flow sheet of the network quality in the embodiment of the present invention;
Fig. 2 is the method flow schematic diagram that network quality is assessed network quality according to type of service in the embodiment of the present invention;
Fig. 3 is the structural representation of the network equipment in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described.
The embodiment of the present invention provides the appraisal procedure of a kind of network quality, and the method is applied to a network equipment, and this network equipment can be the equipment for radio access network in mobile communication system.
Fig. 1 is the appraisal procedure schematic flow sheet of the network quality in the embodiment of the present invention, and with reference to shown in Fig. 1, the method includes:
S101: network equipment is after service ending, it is thus achieved that the record of business;
Specifically, user carries out business by network, and after each service ending, network equipment obtains the relative recording of this business.
Such as, user A carries out Video chat by network and user B, in the process of chat, network equipment is based on Call Detail Trace (CDT, CallDetailTrace) record is to the relevant information in the chat process of user, being tracked such as chatting time, the speed of video access, drop rate etc., after two people's Video chats terminate, network equipment obtains the record of this business from CDT recording.
It should be noted that the record of the business that user carries out can be based on CDT by network equipment is tracked record, it is also possible to being recorded based on additive method, the present invention is not specifically limited.
S102: network of network quality, based on the network evaluation parameter determined from record, is estimated by network equipment.
Specifically, Fig. 2 is the schematic flow sheet of method network quality being estimated according to type of service in the embodiment of the present invention, and with reference to shown in Fig. 2, S102 includes:
S201: the type of business, based on record, is identified by network equipment, wherein, type includes speech business and data service;
S202: network equipment determines the network evaluation parameter corresponding with type from record;
In specific implementation process, include speech business and data service due to the type of business, then, S202 has and not several below existence is embodied as situation.
The first situation, when network equipment identifies after this business of user is speech business, determining the network evaluation parameter corresponding with speech business in record, namely calling accesses one or more parameter in signal to noise ratio, call failure number of times, dropped call number of times, primary channel forward direction FER, the reverse FER of primary channel. Such as, network equipment from record determine calling access signal to noise ratio be 80%, call failure number of times be 0 time, dropped call number of times be 1 time, primary channel forward direction FER be 8%, the reverse FER of primary channel be 15%.
The second situation, when network equipment identifies this business of user for continuing high-quality download class data service, network equipment determines the network evaluation parameter corresponding with lasting high-quality downloading business from record, i.e. forward wireless link agreement Mean Speed; Such as, network equipment determines that forward wireless link agreement Mean Speed is 240Kbps from record.
The third situation, when network equipment identifies this business of user for continuing common download class data service, network equipment determines the network evaluation parameter corresponding with persistently common downloading business from record, i.e. Forward averaging scheduling rates, the average retransmission rate of forward wireless link agreement, average dynamic rate controlled erasure rate, convergent point mouth packet loss, the busy ratio of reverse activity bits and average communication interface round trip time delay; Such as, network equipment determine from record Forward averaging scheduling rates be 30, the average retransmission rate of forward wireless link agreement be 1, average dynamic rate controlled erasure rate 20, convergent point mouth packet loss be 4, the busy ratio of reverse activity bits be 1.3 and average communication interface round trip time delay be 15.
4th kind of situation, when network equipment identifies this business of user for reversely uploading class data service, network equipment determines the network evaluation parameter corresponding with reversely uploading class business from record, i.e. the busy ratio of reverse wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, average dynamic rate controlled erasure rate, average packet error rate and reverse activity bits; Such as, network equipment determine from record reverse wireless link agreement Mean Speed be 10, reverse wireless link agreement burst rate be 7, the average retransmission rate of reverse wireless link agreement be 6, average dynamic rate controlled erasure rate be 35, average packet error rate be 15 and the busy ratio of reverse activity bits be 1.2.
5th kind of situation, when network equipment identify this business of user be front reverse symmetry class data service time, network equipment determines the network evaluation parameter corresponding with reverse symmetry class business from record, i.e. reverse wireless link agreement Mean Speed, forward wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, the average retransmission rate of forward wireless link agreement and average dynamic rate controlled erasure rate; Such as, network equipment determine from record reverse wireless link agreement Mean Speed be 6, forward wireless link agreement Mean Speed be 100, reverse wireless link agreement burst rate be 6, the average retransmission rate of reverse wireless link agreement be 7, the average retransmission rate of forward wireless link agreement be 3 and average dynamic rate controlled erasure rate be 20.
6th kind of situation, when network equipment identify this business of user be forward burst low discharge class data service time, network equipment from record determine the network evaluation parameter corresponding with forward burst low discharge class business, namely average dynamic rate controlled speed, be successfully accessed rate and drop rate; Such as, network equipment determine from record average dynamic rate controlled speed be 25, the rate of being successfully accessed be 60% and drop rate be 25%.
7th kind of situation, when network equipment identify this business of user be forward burst big class of traffic data service time, network equipment from record determine the network evaluation parameter corresponding with forward burst big class of traffic business, namely forward wireless link agreement Mean Speed, Forward averaging scheduling rates, be successfully accessed rate and drop rate; Such as, network equipment determine from record forward wireless link agreement Mean Speed be 150, Forward averaging scheduling rates be 20, the rate of being successfully accessed be 60% and drop rate be 15%.
Certainly, in actual applications, data service is not limited only to above-mentioned the second situation to the business of type described in the 7th kind of situation, it is also possible to for other kinds of data service, the present invention is not specifically limited.
S203: network equipment assessment parameter Network Based, is estimated network of network quality.
Specifically, for the first situation above-mentioned, network equipment is based on the network evaluation parameter corresponding with speech business and preset rules, it is determined that go out the network of network quality assessment result that this business uses.
In specific implementation process, for speech business, above-mentioned preset rules can be as shown in table 1.
Table 1
In Table 1, the basis point of each network evaluation parameter is 100 points, and weight is the ratio that the mark of each network evaluation parameter is shared in overall evaluation mark, shown in concrete scoring formula such as formula (1):
Y ( s ) = 100 - Σ i = 1 M P i × L i - - - ( 1 )
Wherein, Y (s) is the mark of speech business gained, PiFor the mark that i-th network evaluation parameter is deducted, LiFor the weight that i-th network evaluation parameter is corresponding, the span of i is the integer be more than or equal to 1 and less than or equal to M, and the span of M is the integer be more than or equal to 1.
Such as, according to table 1, accessing signal to noise ratio by the S202 calling obtained is 85%, more than 80%, then subtracts 10 point, i.e. P1=10, corresponding weight L1=20%; Call failure number of times is 0 time, not deduction, i.e. P2=0, corresponding weight L2=20%; The like, the P of dropped call number of times3=5, L3=30%; The P of primary channel forward direction FER4=5, L4=15%; The P of the reverse FER of primary channel5=15, L5=15%. By P1To P5��L1To L5Bringing formula (1) respectively into, it is 89.75 points that network equipment can determine that user carries out the assessment mark of the network of network quality that speech business uses.
It should be noted that code of points and calculation to speech business can be above-mentioned code of points and computing formula, it is also possible to being other code of points and calculation, specifically arrange to be actually needed, the present invention is not specifically limited.
For the data service of above-mentioned the second situation to the 7th kind situation, concrete to data service is marked shown in formula such as formula (2):
S ( s ) = Σ i = 1 N ( 100 - P i ) × L i - - - ( 2 )
Wherein, the mark of the data service gained that S (s) is corresponding types, PiFor the mark that i-th network evaluation parameter adds deduct, LiFor the weight that i-th network evaluation parameter is corresponding, the span of i is the integer be more than or equal to 1 and less than or equal to N, and the span of N is the integer be more than or equal to 1.
It should be noted that the computational methods that the scoring of the network quality carrying out data service is used can be above-mentioned computing formula, it is also possible to being additive method, the present invention is not specifically limited.
For above-mentioned the second situation, network equipment is based on downloading network evaluation parameter corresponding to class data service and preset rules with lasting high-quality, it is determined that go out the network of network quality assessment result that this business uses.
In specific implementation process, downloading class data service for lasting high-quality, its preset rules is as shown in table 2.
Table 2
Wherein, the basis point of each network evaluation parameter is 100 points, reference value is the reference value that each network evaluation parameter is corresponding, when relation between actual network evaluation parameter and reference value meets the relation shown in table 2, corresponding network evaluation parameter is carried out bonus point according to corresponding code of points or deduction processes.
It should be noted that the preset rules for the download class data service of lasting high-quality can be above-mentioned preset rules, it is also possible to being Else Rule, the present invention is not specifically limited.
For example, in S202, network equipment determines that user carries out lasting high-quality and downloads the network evaluation parameter that class data service is corresponding, and namely forward wireless link agreement Mean Speed is 240, then, according to the code of points in table 2, this network evaluation parameter is 240, more than 230, adds 10 points, according to formula (2), it is 103 points that network equipment can determine that user carries out the assessment mark of the network of network quality that the download class data service of lasting high-quality uses.
For the third situation above-mentioned, network equipment is based on the network evaluation parameter corresponding with persistently common download class data service and preset rules, it is determined that go out the network of network quality assessment result that this business uses.
In specific implementation process, for persistently common download class data service, its preset rules is as shown in table 3.
Table 3
Wherein, the basis point of each network evaluation parameter is 100 points, reference value is the reference value that each network evaluation parameter is corresponding, when relation between actual network evaluation parameter and reference value meets the relation shown in table 3, corresponding network evaluation parameter is carried out bonus point according to corresponding code of points or deduction processes.
It should be noted that the preset rules for persistently common download class data service can be above-mentioned preset rules, it is also possible to being Else Rule, the present invention is not specifically limited.
For example, in S202, network equipment determines that user carries out the network evaluation parameter that persistently common download class data service is corresponding, namely Forward averaging scheduling rates is 30, the average retransmission rate of forward wireless link agreement is 1, average dynamic rate controlled erasure rate 20, convergent point mouth packet loss is 4, the busy ratio of reverse activity bits be 1.3 and average communication interface round trip time delay be 15, so, according to the code of points in table 3, Forward averaging scheduling rates is 30, less than 34, not deduction, so mark corresponding to forward wireless link agreement Mean Speed is 100 �� 25%=25, the average retransmission rate of forward wireless link agreement is 1, less than 2, not deduction, so, mark corresponding to the average retransmission rate of forward wireless link agreement is 100 �� 10%=10, by that analogy, the mark that average dynamic rate controlled erasure rate is corresponding is (100-5) �� 10%=9.5, the mark that convergent point mouth packet loss is corresponding is 100 �� 15%=15, mark corresponding to the busy ratio of reverse activity bits is (100-10) �� 20%=18, mark corresponding to average communication interface round trip time delay is (100-10) �� 20%=18, according to formula (2), it is 95.5 points that network equipment can determine that user carries out the assessment mark of the persistently network of network quality that common download class data service uses.
For above-mentioned 4th kind of situation, network equipment is based on the network evaluation parameter corresponding with reversely uploading class data service and preset rules, it is determined that go out the network of network quality assessment result that this business uses.
In specific implementation process, for reversely uploading class data service, its preset rules is as shown in table 4.
Parameter name Reference value Actual value Code of points Weight
Reverse wireless link agreement Mean Speed 12 More than 12 Add 2 points 25%
Reverse wireless link agreement burst rate 5 More than 5 Subtract 7 point 20%
The average retransmission rate of reverse wireless link agreement 5 More than 5 Subtract 5 point 15%
Average dynamic rate controlled erasure rate 30 Less than 30 Subtract 5 point 10%
Average packet error rate 20 More than 20 Subtract 10 point 20%
Reverse activity bits hurries ratio 1 More than 1 Subtract 10 point 10%
Table 4
Wherein, the basis point of each network evaluation parameter is 100 points, reference value is the reference value that each network evaluation parameter is corresponding, when relation between actual network evaluation parameter and reference value meets the relation shown in table 4, corresponding network evaluation parameter is carried out bonus point according to corresponding code of points or deduction processes.
It should be noted that can be above-mentioned preset rules for reversely uploading the preset rules of class data service, it is also possible to being Else Rule, the present invention is not specifically limited.
For example, in S202, network equipment determines that user reversely uploads the network evaluation parameter that class data service is corresponding, namely reverse wireless link agreement Mean Speed is 10, reverse wireless link agreement burst rate is 7, the average retransmission rate of reverse wireless link agreement is 6, average dynamic rate controlled erasure rate is 35, average packet error rate be 15 and the busy ratio of reverse activity bits be 1.2, so, according to the code of points in table 4, reverse wireless link agreement Mean Speed is 10, less than 12, not bonus point, reciprocal fraction is 100 �� 25%=25, reverse wireless link agreement burst rate is 7, more than 5, subtract 7 point, so the mark of correspondence is (100-7) �� 20%=18.6, by that analogy, mark corresponding to the average retransmission rate of reverse wireless link agreement is (100-6) �� 15%=14.1, the mark that average dynamic rate controlled erasure rate is corresponding is 100 �� 10%=10, the mark that average packet error rate is corresponding is 100 �� 20%=20, mark corresponding to the busy ratio of reverse activity bits is (100-10) �� 10%=9, known according to formula (2), it is 96.7 points that network equipment can determine that user reversely uploads the assessment mark of the network of network quality that class data service uses.
For above-mentioned 5th kind of situation, network equipment is based on the network evaluation parameter corresponding with front reverse symmetry class data service and preset rules, it is determined that go out the network of network quality assessment result that this business uses.
In specific implementation process, for front reverse symmetry class data service, its preset rules is as shown in table 5.
Table 5
Wherein, the basis point of each network evaluation parameter is 100 points, reference value is the reference value that each network evaluation parameter is corresponding, when relation meets the relation shown in table 5 between actual network evaluation parameter and reference value, corresponding network evaluation parameter is carried out bonus point according to corresponding code of points or deduction processes.
It should be noted that the preset rules for front reverse symmetry class data service can be above-mentioned preset rules, it is also possible to being Else Rule, the present invention is not specifically limited.
For example, in S202, network equipment determines that user carries out the network evaluation parameter that front reverse symmetry class data service is corresponding, namely reverse wireless link agreement Mean Speed is 6, forward wireless link agreement Mean Speed is 100, reverse wireless link agreement burst rate is 6, the average retransmission rate of reverse wireless link agreement is 7, the average retransmission rate of forward wireless link agreement be 3 and average dynamic rate controlled erasure rate be 20, so, according to the code of points in table 5, reverse wireless link agreement Mean Speed is 6, less than 8, subtract 20 point, reciprocal fraction is (100-20) �� 30%=24, forward wireless link agreement Mean Speed is 100, less than 120, subtract 30 point, reciprocal fraction is (100-30) �� 30%=21, by that analogy, reverse wireless link agreement burst rate reciprocal fraction is (100-15) �� 10%=8.5, the average retransmission rate reciprocal fraction of reverse wireless link agreement is (100-15) �� 10%=8.5, the average retransmission rate reciprocal fraction of forward wireless link agreement is (100-15) �� 10%=8.5, average dynamic rate controlled erasure rate reciprocal fraction is (100-10) �� 10%=9, according to formula (2), it is 79.5 points that network equipment can determine that user carries out the assessment mark of the network of network quality that front reverse symmetry class data service uses.
For above-mentioned 6th kind of situation, network equipment is based on the network evaluation parameter corresponding with forward burst low discharge class data service and preset rules, it is determined that go out the network of network quality assessment result that this business uses.
In specific implementation process, for forward burst low discharge class data service, its preset rules is as shown in table 6.
Table 6
Wherein, the basis point of each network evaluation parameter is 100 points, reference value is the reference value that each network evaluation parameter is corresponding, when relation between actual network evaluation parameter and reference value meets the relation shown in table 6, corresponding network evaluation parameter is carried out bonus point according to corresponding code of points or deduction processes.
It should be noted that the preset rules for forward burst low discharge class data service can be above-mentioned preset rules, it is also possible to being Else Rule, the present invention is not specifically limited.
For example, in S202, network equipment determines that user carries out the network evaluation parameter that forward burst low discharge class data service is corresponding, namely average dynamic rate controlled speed, be successfully accessed rate and drop rate, such as, network equipment determines that average dynamic rate controlled speed is 25 from record, the rate of being successfully accessed be 60% and drop rate be 25%, so according to the code of points in table 6, average dynamic rate controlled speed is 25, less than 30, subtract 10 point, reciprocal fraction is (100-10) �� 20%=18, the rate of being successfully accessed is 60%, less than 65%, subtract 50 point, reciprocal fraction is (100-50) �� 40%=20, and drop rate is 25%, more than 20%, subtract 40 point, reciprocal fraction is (100-40) �� 40%=24, known according to formula (2), it is 62 points that network equipment can determine that user carries out the assessment mark of the network of network quality that forward burst low discharge class data service uses.
For above-mentioned 7th kind of situation, network equipment is based on the network evaluation parameter corresponding with forward burst big class of traffic data service and preset rules, it is determined that go out the network of network quality assessment result that this business uses.
In specific implementation process, for the big class of traffic data service of forward burst, its preset rules is as shown in table 7.
Table 7
Wherein, the basis point of each network evaluation parameter is 100 points, reference value is the reference value that each network evaluation parameter is corresponding, when relation between actual network evaluation parameter and reference value meets the relation shown in table 7, corresponding network evaluation parameter is carried out bonus point according to corresponding code of points or deduction processes.
It should be noted that the preset rules for forward burst big class of traffic data service can be above-mentioned preset rules, it is also possible to being Else Rule, the present invention is not specifically limited.
For example, in S202, network equipment determines that user carries out the network evaluation parameter that forward burst big class of traffic data service is corresponding, namely forward wireless link agreement Mean Speed is 150, Forward averaging scheduling rates is 20, the rate of being successfully accessed be 60% and drop rate be 15%, so, according to the code of points in table 7, forward wireless link agreement Mean Speed is 150, more than 120 less than 230, subtract 20 point, reciprocal fraction is (100-20) �� 20%=16, Forward averaging scheduling rates is 20, less than 34, subtract 10 point, reciprocal fraction is (100-10) �� 20%=18, by that analogy, the rate reciprocal fraction of being successfully accessed is 15 points, drop rate reciprocal fraction is 24, according to formula (2), it is 73 points that network equipment can determine that user carries out the assessment mark of the network of network quality that the big class of traffic data service of forward burst uses.
From the foregoing, network equipment is after the service ending of user, it is thus achieved that the record that this business is corresponding, and from above-mentioned record, determine the network evaluation parameter corresponding with this business, and based on this network evaluation parameter, the network quality of current network is estimated. So, avoid when network goes wrong, the reflected problem of complaint relying on user searches the place gone wrong, achieve network equipment independently network of network quality to be estimated, operator can according to the network equipment assessment result for network quality, find out problematic place, it is simple to solve a problem promptly, improve Consumer's Experience.
Based on same inventive concept, the embodiment of the present invention provides a kind of network equipment, and this network equipment is consistent with the network equipment described in said one or multiple embodiment.
Fig. 3 is the structural representation of the network equipment in the embodiment of the present invention, and with reference to shown in Fig. 3, this network equipment includes: obtain unit 31 and assessment unit 32; Wherein, it is thus achieved that unit 31, for after service ending, it is thus achieved that the record of business; Assessment unit 32, for based on the network evaluation parameter determined from record, being estimated network of network quality.
Further, assessing unit 32, specifically for based on record, the type of business being identified, wherein, type includes speech business and data service; The network evaluation parameter corresponding with type is determined from record; Assessment parameter Network Based, is estimated network of network quality.
Further, assessing unit 32, specifically for based on record, confirmation business is speech business; From record, determine that calling accesses the one or more combination in signal to noise ratio, call failure number of times, dropped call number of times, primary channel forward direction FER and the reverse FER of primary channel.
Further, assessing unit 32, specifically for based on record, confirmation business is data service; The network evaluation parameter corresponding with data service is determined from record.
Further, assess unit 32, specifically for when data service is for continuing high-quality downloading business, determining forward wireless link agreement Mean Speed from record.
Further, assessment unit 32, specifically for when data service is for continuing common downloading business, determining the busy ratio of Forward averaging scheduling rates, the average retransmission rate of forward wireless link agreement, average dynamic rate controlled erasure rate, convergent point mouth packet loss, reverse activity bits and average communication interface round trip time delay from record.
Further, assessment unit 32, specifically for when data service is for reversely uploading class business, determining that from record reverse wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, average dynamic rate controlled erasure rate, average packet error rate and reverse activity bits do ratio.
Further, assessment unit 32, specifically for when data service is front reverse symmetry class business, determining reverse wireless link agreement Mean Speed, forward wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, the average retransmission rate of forward wireless link agreement and average dynamic rate controlled erasure rate from record.
Further, assess unit 32, specifically for when data service is forward burst low discharge class business, determining average dynamic rate controlled speed from record, be successfully accessed rate and drop rate.
Further, assess unit 32, specifically for when data service is the big class of traffic business of forward burst, determining forward wireless link agreement Mean Speed, Forward averaging scheduling rates from record, be successfully accessed rate and drop rate.
Above-mentioned acquisition unit 31 and assessment unit 32 can arrange in network equipment in the processors such as CPU, ARM, or be arranged in embedded controller or system level chip, the present invention is not specifically limited.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, network equipment or computer program. Therefore, the present invention can adopt the form of hardware embodiment, software implementation or the embodiment in conjunction with software and hardware aspect. And, the present invention can adopt the form at one or more upper computer programs implemented of computer-usable storage medium (including but not limited to disk memory and optical memory etc.) wherein including computer usable program code.
The present invention is that flow chart and/or block diagram with reference to method according to embodiments of the present invention, equipment (network equipment) and computer program describe. It should be understood that can by the combination of the flow process in each flow process in computer program instructions flowchart and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame. These computer program instructions can be provided to produce a machine to the processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device so that the instruction performed by the processor of computer or other programmable data processing device is produced for realizing the device of function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and can guide in the computer-readable memory that computer or other programmable data processing device work in a specific way, the instruction making to be stored in this computer-readable memory produces to include the manufacture of command device, and this command device realizes the function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices provides for realizing the step of function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
The above, be only presently preferred embodiments of the present invention, is not intended to limit protection scope of the present invention.

Claims (20)

1. the appraisal procedure of a network quality, it is characterised in that described method includes:
Network equipment is after service ending, it is thus achieved that the record of described business;
Described network of network quality, based on the network evaluation parameter determined from described record, is estimated by described network equipment.
2. method according to claim 1, it is characterised in that described network of network quality, based on the network evaluation parameter determined from described record, is estimated by described network equipment, including:
The type of described business, based on described record, is identified by described network equipment, and wherein, described type includes speech business and data service;
Described network equipment determines the network evaluation parameter corresponding with described type from described record;
Described network of network quality, based on described network evaluation parameter, is estimated by described network equipment.
3. method according to claim 2, it is characterised in that the type of described business, based on described record, is identified by described network equipment, including:
Described network equipment, based on described record, confirms that described business is speech business;
Described network equipment is from described record, it is determined that go out the network evaluation parameter corresponding with described type, including:
Described network equipment determines that from described record calling accesses the one or more combination in signal to noise ratio, call failure number of times, dropped call number of times, primary channel forward direction FER and the reverse FER of primary channel.
4. method according to claim 2, it is characterised in that the type of described business, based on described record, is identified by described network equipment, including:
Described network equipment, based on described record, confirms that described business is data service;
Described network equipment is from described record, it is determined that go out the network evaluation parameter corresponding with described type, including:
Described network equipment determines the network evaluation parameter corresponding with described data service from described record.
5. method according to claim 4, it is characterised in that when described data service is for continuing high-quality downloading business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including:
Described network equipment determines forward wireless link agreement Mean Speed from described record.
6. method according to claim 4, it is characterised in that when described data service is for continuing common downloading business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including:
Described network equipment determines the busy ratio of Forward averaging scheduling rates, the average retransmission rate of forward wireless link agreement, average dynamic rate controlled erasure rate, convergent point mouth packet loss, reverse activity bits and average communication interface round trip time delay from described record.
7. method according to claim 4, it is characterised in that when described data service is for reversely uploading class business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including:
Described network equipment determines that from described record reverse wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, average dynamic rate controlled erasure rate, average packet error rate and reverse activity bits do ratio.
8. method according to claim 4, it is characterised in that when described data service is front reverse symmetry class business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including:
Described network equipment determines reverse wireless link agreement Mean Speed, forward wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, the average retransmission rate of forward wireless link agreement and average dynamic rate controlled erasure rate from described record.
9. method according to claim 4, it is characterised in that when described data service is forward burst low discharge class business, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including:
Described network equipment is determined average dynamic rate controlled speed from described record, is successfully accessed rate and drop rate.
10. method according to claim 4, it is characterised in that when described data service is the big class of traffic business of forward burst, described network equipment determines the network evaluation parameter corresponding with described data service from described record, including:
Described network equipment is determined forward wireless link agreement Mean Speed, Forward averaging scheduling rates from described record, is successfully accessed rate and drop rate.
11. a network equipment, it is characterised in that described network equipment includes: obtain unit and assessment unit; Wherein,
Described acquisition unit, for after service ending, it is thus achieved that the record of described business;
Described assessment unit, for based on the network evaluation parameter determined from described record, being estimated described network of network quality.
12. network equipment according to claim 11, it is characterised in that described assessment unit, specifically for based on described record, the type of described business being identified, wherein, described type includes speech business and data service; The network evaluation parameter corresponding with described type is determined from described record; Based on described network evaluation parameter, described network of network quality is estimated.
13. network equipment according to claim 12, it is characterised in that described assessment unit, specifically for based on described record, confirming that described business is speech business; From described record, determine that calling accesses the one or more combination in signal to noise ratio, call failure number of times, dropped call number of times, primary channel forward direction FER and the reverse FER of primary channel.
14. network equipment according to claim 12, it is characterised in that described assessment unit, specifically for based on described record, confirming that described business is data service; The network evaluation parameter corresponding with described data service is determined from described record.
15. network equipment according to claim 14, it is characterised in that described assessment unit, specifically for when described data service is for continuing high-quality downloading business, determining forward wireless link agreement Mean Speed from described record.
16. network equipment according to claim 14, it is characterized in that, described assessment unit, specifically for when described data service is for continuing common downloading business, determining the busy ratio of Forward averaging scheduling rates, the average retransmission rate of forward wireless link agreement, average dynamic rate controlled erasure rate, convergent point mouth packet loss, reverse activity bits and average communication interface round trip time delay from described record.
17. network equipment according to claim 14, it is characterized in that, described assessment unit, specifically for when described data service is for reversely uploading class business, determining that from described record reverse wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, average dynamic rate controlled erasure rate, average packet error rate and reverse activity bits do ratio.
18. network equipment according to claim 14, it is characterized in that, described assessment unit, specifically for when described data service is front reverse symmetry class business, determining reverse wireless link agreement Mean Speed, forward wireless link agreement Mean Speed, reverse wireless link agreement burst rate, the average retransmission rate of reverse wireless link agreement, the average retransmission rate of forward wireless link agreement and average dynamic rate controlled erasure rate from described record.
19. network equipment according to claim 14, it is characterized in that, described assessment unit, specifically for when described data service is forward burst low discharge class business, determining average dynamic rate controlled speed, be successfully accessed rate and drop rate from described record.
20. network equipment according to claim 14, it is characterized in that, described assessment unit, specifically for when described data service is the big class of traffic business of forward burst, determining forward wireless link agreement Mean Speed, Forward averaging scheduling rates from described record, be successfully accessed rate and drop rate.
CN201410610557.7A 2014-11-03 2014-11-03 Assessment method of network quality and network side device Withdrawn CN105636107A (en)

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