CN101472295B - Congestion control method and device - Google Patents
Congestion control method and device Download PDFInfo
- Publication number
- CN101472295B CN101472295B CN2007103044444A CN200710304444A CN101472295B CN 101472295 B CN101472295 B CN 101472295B CN 2007103044444 A CN2007103044444 A CN 2007103044444A CN 200710304444 A CN200710304444 A CN 200710304444A CN 101472295 B CN101472295 B CN 101472295B
- Authority
- CN
- China
- Prior art keywords
- business
- compression
- weight factor
- priority level
- compressible
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
The invention relates to the field of resource management of wireless network communication, particularly a managing and controlling technology for mitigating network communication congestion. The invention further comprises a congestion controlling method comprising the following steps: switching off the admission control to a newly accessed user when a system is judged to be congested according to uplink received total wideband power (RTWP) and downlink code channel transmit power (TCP); and selecting a service to be compressed according to the compressible bandwidth of each service and comprehensive priority level, and compressing the service selected to be compressed. The invention further provides a congestion control device. As the invention integrates the comprehensive priority level of a service and the compressible bandwidth of the service to select a service to be compressed, compression targets are selected reasonably.
Description
Technical field
The present invention relates to the wireless network communication resource management domain, relate in particular to a kind of congested management control technique of network service of alleviating.
Background technology
In CDMA mobile communication systems, when the user who inserts is too much, can make system resource anxiety, overload, the situation of network congestion appears.Just need take congested control this moment, and the bandwidth of CU is compressed, and the bandwidth of release portion business makes system loading be reduced to normal level as early as possible, with alleviate congestion.
As shown in Figure 1; in prior art; the functional module that RNC (Radio Network Controller, radio network controller) side is carried out congested control comprises: measurement module 101, judging module 102, congested control Executive Module 103, overload protection module 104, wherein:
The up RTWP of measurement module 101 monitoring systems (Received Total Wideband Power, receive total bandwidth power) and descending TCP (Tranmission Code Power, the code channel transmitting power), and RTWP and TCP value sent to judging module 102, judging module 102 is used for RTWP and the TCP value according to measurement module 101 transmissions, carries out congestion judging.In judging module 102, for up reception total bandwidth power RTWP is provided with thresholding m1, for descending code channel transmitting power TCP is provided with thresholding m2.M1, m2 set according to the load that system resource can be carried.If RTWP has surpassed thresholding m1 or TCP has surpassed thresholding m2, then think system overload, notify congested control Executive Module 103 to carry out congested control; Otherwise, think system's nonoverload, notice overload protection module 104 is carried out overload protections, prevents ping-pong.
The flow process of existing jamming control method comprises the steps: as shown in Figure 2
Step S201: measure up reception total bandwidth power and descending code channel transmitting power.
Step S202: whether decision system transships, if execution in step S203 then, otherwise execution in step S206 carries out overload protection, prevents ping-pong.
Judge that whether detected total bandwidth power RTWP surpasses thresholding m1, if surpass, system uplink resource anxiety then, decision system overload; Judge that whether detected descending code channel transmitting power TCP surpasses thresholding m2, if surpass, system descending resource anxiety then, decision system overload.
Step S203: close access control to new access user.
Step S204: the business of selecting to carry out compression.
Select to carry out in the prior art and be compressed professional main mode and comprise and select and select current bandwidth to take big business at random.
Step S205: compress to being chosen as the business of carrying out compression.
The concrete grammar of compression mainly is the professional bandwidth that takies of compression, promptly reduces this professional speed.Can compress a certain amount of back waiting system each time and whether recover,, otherwise continue if then finish compression.May be zero finally, just this professional link be removed or switched on other frequency of identical covering that at this moment system is not if also have alleviate congestion then to select new business to compress with the bandwidth reduction that is chosen as the business of carrying out compression.By above-mentioned flow process, make that the components of system as directed resource obtains discharging, alleviated system congestion.
Step S206: overload protection.
The available technology adopting picked at random carries out the professional method of compression or the simple roomy wireless traffic of select tape compresses, and does not have reasonable consideration user or professional priority.
Summary of the invention
The embodiment of the invention provides a kind of congestion control device and method, alleviates system congestion when taking into account service priority and service quality.
A kind of jamming control method comprises:
Close access control when congested to new access user according to up reception total bandwidth power RTWP and descending code channel transmitting power TCP decision system;
During system congestion, for inserting in each business that the user provides, select to carry out the business of compression, and the business that is selected as carrying out compression is compressed according to compressible bandwidth and comprehensive priority level.
A kind of congestion control device comprises:
Measurement module is used to monitor up reception total bandwidth power RTWP, descending code channel transmitting power TCP and professional Mean Speed NBR;
Judging module is used for according to up reception total bandwidth power RTWP and descending code channel transmitting power TCP decision system output system congestion notification when congested;
Congested control Executive Module is used for notifying the access control of closing new access user according to described system congestion; And for inserting in each business that the user provides, select to carry out the business of compression, and the business that is selected as carrying out compression is compressed according to compressible bandwidth and comprehensive priority level.
The embodiment of the invention owing to adopt is taken all factors into consideration the technology that professional comprehensive priority level and professional compressible bandwidth select to do to compress the business of processing, reasonably selected compressed object, when alleviation network service is congested, guaranteed the service quality of high-priority service as far as possible.
Description of drawings
Fig. 1 is the structured flowchart of the congestion control device of prior art;
Fig. 2 is the flow chart of the jamming control method of prior art;
Fig. 3 is the flow chart of the power to make decision repeated factor method of the embodiment of the invention;
Fig. 4 is the flow chart of the jamming control method of the embodiment of the invention;
Fig. 5 is that the professional method flow diagram of compression is carried out in the selection of the embodiment of the invention;
Fig. 6 is the structured flowchart of the congestion control device of the embodiment of the invention;
Fig. 7 is the structured flowchart of the congested control Executive Module of the embodiment of the invention;
Fig. 8 a is the structured flowchart of the chooser module of the embodiment of the invention;
Fig. 8 b is the structured flowchart of the another kind of chooser module of the embodiment of the invention.
Embodiment
The embodiment of the invention selects to compress the method for the business of processing by taking all factors into consideration professional priority and professional compressible bandwidth, taking into account user's priority and service quality selects compression professional, when effective alleviation network service is congested, guarantee high-priority users and professional service quality as far as possible.The embodiment of the invention is with WCDMA (Wideband Code Division Multiple Access, the wideband code division multichannel inserts) network or TD-SCDMA (Time Division Synchronous CodeDivision Multiple Access, the time division synchronous code division multichannel inserts) etc. 3G (3rd Generation, the third generation) mobile communication system is an example, and the congested control technology scheme that the embodiment of the invention provides is described.
Set up in the process in the business of 3G mobile communication system, need to carry out QoS (Quality of Service between user terminal, core net and the wireless access network, service quality) negotiations process, wherein, core net will be carried on RAB (Radio Access Bearer with the qos parameter that user terminal is consulted to finish, RAB) send to the RNC side in distribution (Assignment) message and by the Iu interface, wherein relevant with this service priority and service quality qos parameter comprises:
Allocation process priority ARP parameter, this parameter is in order to characterize user's relative priority level, and generally factor such as the amount of money of paying according to the network user, use brand is divided.The ARP parameter value is generally 1,2,3, and the big more User Priority that shows of value is high more, and the user is high more to the requirement of service quality;
Grade of service TC parameter, this parameter is in order to characterize the customer service type, as real-time speech class business, non real-time interactive service, background business, Streaming Media class business.Generally for the professional value 4 of real-time speech class, the professional value 3 of Streaming Media class, non real-time interactive service value 2, background business value 1; The type of service that value is high more is high more to the requirement of service quality;
Ensure bit rate GBR parameter, this parameter is in order to characterize professional patient lowest-bandwidth, promptly professional patient minimum speed limit.
The embodiment of the invention is to take into account user's priority and service quality, selects compression professional according to following two parameters:
1, each professional comprehensive priority level parameter Y
Each professional comprehensive priority level parameter Y determines according to formula 1:
Y＝ARP+TC (1)
This parameter Y equals each professional ARP parameter and TC parameter sum, therefore comprehensive characterization each professional user priority grade and type of service priority level, as can be seen, if user's priority is high more, perhaps the priority of the current type of service of user is high more, and then the comprehensive priority level parameter is just high more.Therefore when selecting compression professional, should preferentially select the low business of parameter Y.
Certainly, in the embodiment of the invention, each professional comprehensive priority level parameter Y also can only equal professional ARP parameter or TC parameter.
2, the compressible bandwidth parameter T of each business
Add up in the time span of setting, can obtain each professional Mean Speed NBR, for real time business, GBR is professional minimum speed limit, therefore guaranteeing that professional compressible bandwidth parameter T can deduct GBR by the mean data rate NBR of business and determine under the professional situation about can carry out.Concrete, deduct GBR with mean data rate NBR after, multiply by a modulation factor again and can obtain compressible bandwidth parameter T.For example, the mean data rate NBR that monitors certain real time business is 64kbps, and the guarantee bit rate GBR of this real time business is 32kbps, and then the compressible bandwidth of this real time business can multiply by a modulation factor for 64kbps-32kbps=32kbps.
Because the non-real-time service of protocol definition, for example mutual (Interactive) GBR parameter professional, that background classes (Background) is professional is 0, therefore consider the Mean Speed and the professional priority level of system, non-real-time service minimum speed limit TBR can be set be:
TBR＝(ARP-1)*A (2)
Wherein parameter A is a constant, the typical mean speed that can reach when busy for systems organization, but be 32kbps or 64kbps etc. to the WCDMA/TD-SCDMA value.Obviously, minimum speed limit professional for non real-time mutual (Interactive), that background classes (background) is professional ensures that TBR is that Mean Speed according to this professional User Priority and system obtains.
To sum up, the compressible bandwidth parameter T of each business can determine according to formula 3:
T＝(NBR-TBR)*E (3)
Wherein, T is professional compressible bandwidth parameter, and NBR is professional Mean Speed in setting-up time length, and TBR is professional minimum speed limit, and E is the constant modulation factor.For real time business, minimum speed limit TBR equals to ensure bit rate GBR, and for non-real-time service, minimum speed limit TBR can determine according to formula 2.
Certainly, those skilled in the art also can come the professional minimum speed limit TBR of regulation different service types according to actual conditions.
Because parameter T has reflected that business can compressed surplus, therefore when selecting compression professional, preferentially select the bigger business of parameter T value.Based on this, the embodiment of the invention is determined the compression priority level parameter GNP of each business respectively according to formula 4
1, and preferentially select GNP
1The less business of value is compressed:
GNP
1＝Y+B/T (4)
Wherein B is a constant, and its value can be the Mean Speed of system.Those skilled in the art can be certain empirical value according to the value of actual conditions B also, and for example value is 32kbps.
If more according to the low or compressible bandwidth of comprehensive priority level that formula 4 is professional as can be seen, the compression priority level GNP of the business that then calculates
1Just low more; Otherwise, if professional comprehensive priority level is high or compressible bandwidth is less, the compression priority level GNP of the business that calculates
1Just high more.Obviously, GNP
1Be worth low more business, should be preferentially elected as the business of carrying out compression.
Like this, just can comprehensively weigh professional user priority grade, type of service priority level and professional compressible bandwidth and choose the business of carrying out compression, in alleviate congestion, take into account the service quality of the business of high priority.Certainly, congested very serious, and the compressible bandwidth of the business of high priority is very big the time, also may be chosen as the business of carrying out compression, to be lower than the business of low priority but the business of high priority is chosen as the overall probability of carrying out the compression business, thereby guarantee the service quality of the business of high priority as far as possible.
Certainly, can also determine the compression priority level parameter GNP of each business respectively according to formula 5
1', and preferentially select GNP
1The business that ' value is bigger is compressed:
GNP
1′＝C/Y+T (5)
Wherein C is a constant, and its value can be the integer of determining according to the order of magnitude of T.
Further, can also set different weight coefficients with parameter T, determine the compression priority level parameter GNP of each business according to formula 6 respectively for parameter Y
2, and preferentially select GNP
2The less business of value is compressed:
GNP
2＝w1*Y+w2*B/T (6)
W1 is the weight factor that corresponding parameter Y sets, and w2 is the weight factor that corresponding parameter T sets, and is used to adjust parameter Y and parameter T shared proportion when selecting compression professional.According to different selection strategies, if attach most importance to the service quality that guarantees high-priority users and business, then the desirable higher value of w2 can stress the business of selecting compressible bandwidth bigger like this; If attach most importance to guarantee congestion relief efficient, then the desirable higher value of w1.
Perhaps determine the compression priority level parameter GNP of each business respectively according to formula 7
2', and preferentially select GNP
2The business that ' value is bigger is compressed:
GNP
2′＝w3*C/Y+w4*T (7)
W3 is the weight factor that corresponding parameter Y sets, and w4 is the weight factor that corresponding parameter T sets, and is used to adjust parameter Y and parameter T shared proportion when selecting compression professional.According to different selection strategies, if attach most importance to the service quality that guarantees high-priority users and business, then the desirable smaller value of w4 can stress the business of selecting compressible bandwidth bigger like this; If attach most importance to guarantee congestion relief efficient, then the desirable smaller value of w3.
With w1, w2 is example, and the value of w1, w2 can be fixed, rule of thumb the suitable value of Que Dinging.For example, w1 is 1, and w2 is 2; Can be the cycle also, dynamically adjust according to the situation of system with certain time length T0.The method of adjusting w1, w2 weight factor as shown in Figure 3, the adjustment process in a T0 cycle specifically comprises the steps:
Step S301: monitoring and statistics K1, K2 value.
The business of monitoring and statistics congestion relief duration K1 parameter and high priority is carried out the frequency K2 that compression is handled.
After congestion relief duration K1 carries out compression in order to sign, the efficient of congestion relief.Concrete, be that statistical system is congested to the used frame number of alleviate congestion from triggering.Congested many more from triggering to the used frame number of alleviate congestion, just show that the time of removing congestion relief is long more, just show that also congestion relief efficient is low.
The business of high precedence is carried out the frequency K2 of compression processing in order to characterize the influence degree that high-priority service is subjected to.Concrete, be the number that the business of statistics high priority is carried out the frame of congested processing.For defining of the business of high priority, present embodiment is with the business of ARP＞2 or the TC=3 business as high priority; Those skilled in the art also can set the business that other condition defines high priority according to actual conditions.
Step S302: concern the power to make decision repeated factor by K1, K2.
By K1, the K2 value of monitoring, judge that their relation decides adjustment weight factor w1, w2.After having carried out compression, the K1 value characterizes out the congestion relief duration, and the business that the K2 value characterizes out high precedence is carried out the frequency that compression is handled.
If the K1 value is very big, just show system's alleviate congestion overlong time, efficient is low excessively, and at this moment, hope can increase the compression to high-priority service by adjusting weight factor, with alleviate congestion as early as possible.Can realize this purpose by changing weight factor.For example, increase weight factor w2 or reduce weight factor w1, just can reach and allow the compressed purpose of more high-priority service for the method for formula 6.
If the K2 value is very big, the influence that is subjected to regard to the business that shows high precedence is bigger, needs to reduce the compression to the high-priority users business, to guarantee the service quality of high-priority service.Can realize this purpose by changing weight factor.For example, increase weight factor w1 or reduce weight factor w2, just can reach and allow the compressed purpose of less high-priority service for the method for formula 6.
The method of adjustment that weight factor is concrete comprises:
A, according to the T0 time interval of setting (very first time at interval), periodically detect K1, K2, if the growth of K1 is faster than K2, then the w2 value increases or the w1 value reduces.Concrete, can be if the value of increased percentage that the increased percentage of K1 surpasses K2 during greater than setting threshold g1, then the w2 value increases q1, or the w1 value reduces.Wherein g1, q1 those skilled in the art can be according to the practical experience value.
B, at T0 in the time, if the growth of K2 is faster than K1, then the w1 value increases or the w2 value reduces.Concrete, can be if the value of increased percentage that the increased percentage of K2 surpasses K1 during greater than setting threshold g2, then the w1 value increases q2, or the w2 value reduces.Wherein g2, q2 those skilled in the art can be according to the practical experience value.
C, at T0 in the time, if the increment of K1, K2 equates that then w1, w2 all do not change.
D, through at interval (second time interval) after a while, after, w1, w2 recover initial value.For example, set through 10 T0 after the time, the scheme for w1, w2 value reduce can revert to 10 with w1, w2 value; Scheme for w1, w2 value increase can revert to 1 with w1, w2 value.Those skilled in the art can set through how long recovering initial value according to the actual conditions of system, and the value of initial value.In general, in the time interval of the recovery initial value of setting (second time interval), be greater than the time interval T0 (very first time at interval) that detects K1, K2.
Above-mentioned A, B, C, D only are a kind of methods that realizes adjusting according to K1, K2 value weight factor w1, w2 at formula 6, and those skilled in the art can also adopt the method for adjustment of other variation according to its basic ideas.For example, the method described of following E, F, G, H is to adjust the method for weight factor w3, w4 according to K1, K2 value at the another kind of formula 7:
E, according to the T0 time interval of setting (the 3rd time interval), periodically detect K1, K2, if the growth of K1 is faster than K2, then the w3 value increases or the w4 value reduces.Concrete, can be if the value of increased percentage that the increased percentage of K1 surpasses K2 during greater than setting threshold g3, then the w3 value adds q3, or the w4 value reduces.Wherein g3, q3 those skilled in the art can be according to the practical experience value.
F, at T0 in the time, if the growth of K2 is faster than K1, then the w4 value increases or the w3 value reduces.Concrete, if can be the value of the increased percentage of the judging K2 increased percentage that surpasses K1 during greater than setting threshold g4, then the w4 value adds q4, or the w3 value reduces.Wherein g4, q4 those skilled in the art can be according to the practical experience value.
G, at T0 in the time, if the increment of K1, K2 equates that then w3, w4 all do not change.
H, through after a while at interval after (the 4th time interval), w3, w4 recover initial value.Concrete, can set through 10 T0 after the time according to actual conditions, the scheme for w3, w4 value reduce can revert to 10 with w3, w4 value; Scheme for w3, w4 value increase can revert to 1 with w3, w4 value.Those skilled in the art can set through how long recovering initial value according to the actual conditions of system, and the value of initial value.In general, the time interval of the recovery initial value of setting (the 4th time interval) is greater than the time interval T0 (the 3rd time interval) that detects K1, K2.
Can set above-mentioned time T 0 according to system's concrete condition, such as, setting T0 is the integral multiple of whole congested used time of processing procedure, as 10 or 20.
System of selection based on above-mentioned compression business, the embodiment of the invention at first provides a kind of and selects to carry out the business of compressing according to each professional compressible bandwidth and comprehensive priority level, and the jamming control method that the business that is selected as carrying out compression is compressed, as shown in Figure 4, comprise following concrete steps:
Step S401: NBR, RTWP, the TCP parameter of measuring statistical service.
Measure mean data rate NBR, up reception total bandwidth power RTWP and the descending code channel transmitting power TCP parameter of statistical service.
Step S402: whether decision system transships.
If RTWP, TCP have a setting thresholding that surpasses the decision system overload, then decision system is transshipped, execution in step S403; Otherwise, system's nonoverload, execution in step S407 carries out overload protection, prevents ping-pong.
Step S403: close access control to new access user.
Close access control, forbid new user's access new access user.
Step S404: obtain professional QoS property parameters.
Obtain professional service quality QoS property parameters, comprising: allocation process priority ARP, grade of service TC, guarantee bit rate GBR.
Step S405: the business of selecting to carry out compression.
According to NBR parameter and QoS of survice property parameters, comprehensive statistics goes out each professional compressible bandwidth and comprehensive priority level; Calculate the compression priority level of each business according to each professional compressible bandwidth and comprehensive priority level, and select to carry out the business of compression according to the compression priority level of each business.
Step S406: the business that is selected as carrying out compression is compressed.
The compression method of the business of the execution compression of selecting for the compression priority levels that obtain according to formula 4 or 6 is:
All speed of compressing the business of priority level minimums are reduced to this professional minimum speed limit; If system is still congested, then according to the compression priority level of business from small to large, mandatory dismantling is selected as carrying out the business of compression.
The compression method of the business of the execution compression of selecting for the compression priority levels that obtain according to formula 5 or 7 is:
All speed of compressing the business of priority level maximums are reduced to this professional minimum speed limit; If system is still congested, then according to the compression priority level of business from big to small, mandatory dismantling is selected as carrying out the business of compression.
The business that the execution of selecting among the step S405 is compressed is compressed.
Step S407: overload protection.
Above-mentioned step S405 selects to carry out the professional method of compression, as shown in Figure 5, comprises following concrete steps:
Step S501: beginning.
Step S502: each professional comprehensive priority level of counting statistics.
According to each professional allocation process priority ARP and/or grade of service TC parameter, determine comprehensive priority level; Concrete definite method, ditto described.
Step S503: the compressible bandwidth of counting statistics business.
Determine professional compressible bandwidth according to each professional mean data rate NBR and professional minimum speed limit; Concrete definite method is ditto described.
Step S504: the compression priority level of computing service.
According to the comprehensive priority level of business and the compression priority level of the compressible bandwidth calculation business of business.
Step S505:, select to carry out the business of compression according to the compression priority level of the business that calculates.
Concrete system of selection will be decided according to the method for calculating the compression priority level: particularly, if system is the compression priority level according to formula 4 or 6 business of calculating, so just select the low business of compression priority level to carry out compression; If system is the compression priority level according to formula 5 or 7 business of calculating, so just select the high business of compression priority level to carry out compression.
The embodiment of the invention provides a kind of congestion control device, as shown in Figure 6, comprising: measurement module 601, judging module 602, congested control Executive Module 604, interface signaling processing module 603, implementation status statistical module 605, overload protection module 606.
Whether judging module 602 is used for transshipping according to RTWP and TCP parameter decision system that measurement module 601 sends; If the decision-making system overload sends overload notification to congested control Executive Module 604; If the decision-making system nonoverload sends overload protection and is notified to overload protection module 606 execution overload protections.
Interface signaling processing module 603 is used to obtain quality QoS association attributes parameter, as ARP (Allocation/Retention Priority, allocation process priority) parameter, TC (Traffic Class, the grade of service) parameter, GBR (Guaranteed Bit Rate, ensure bit rate) parameter, and these parameters are outputed to congested control Executive Module 604.
Congested control Executive Module 604 is used for after the overload notification that receives judging module 602 transmissions, close access control to new access user, and according to NBR parameter that receives from measurement module 601 and the QoS of survice property parameters that receives from interface signaling processing module 603, comprehensive statistics goes out professional comprehensive priority level and professional compressible bandwidth; The comprehensive priority level of the business that goes out according to counting statistics and professional compressible bandwidth meter are calculated professional compression priority level, and select to carry out the business of compression according to the compression priority level of business, and the business of selecting is compressed.
The situation that congested control Executive Module 604 has been taken all factors into consideration professional comprehensive priority level and compressible bandwidth is selected the business compressed, and the business of selecting compressed, thereby when alleviation network service is congested, also guaranteed the service quality of high-priority users business.
Can solve situation according to the network congestion after the current execution compression if wish system, again weigh the weight of the compressible bandwidth parameter of service integration priority level parameter and business, change and select to carry out the professional control alleviate congestion strategy of compression, can also increase implementation status statistical module 605.
Implementation status statistical module 605 is used to measure the duration parameters K1 of statistical system alleviate congestion and the customer service of high precedence is carried out the frequency K2 that compression is handled, and K1, K2 value are sent to congested control Executive Module 604.
Congested control Executive Module 604 is adjusted weight to professional priority level parameter and professional compressible bandwidth parameter according to K1, K2 value, recalculate professional compression priority level, and change according to the compression priority level of the business that recomputates that to select to carry out compression professional, and the business of selecting is compressed.
As shown in Figure 7, congested control Executive Module 604 specifically can comprise: access control switch submodule 701, chooser module 702, compression implementation sub-module 703.
Access control switch submodule 701 is used to close new access user's access control.
The business that the execution that compression implementation sub-module 703 is used for that chooser module 702 is selected is compressed is compressed.
Shown in Fig. 8 a, chooser module 702 specifically also comprises: parameter acquiring unit 801, service priority statistic unit 802, compressible bandwidth statistic unit 803, compression service selection unit 804 and the first weight factor adjustment unit 805, the described first weight factor adjustment unit 805 is not necessary by compressing implementation sub-module 703, when congestion control device comprises implementation status statistical module 605, chooser module 702 promptly comprises the first weight factor adjustment unit 805.
Service priority statistic unit 802 is used for going out professional comprehensive priority level according to the QoS of survice property parameters counting statistics that parameter acquiring unit 801 obtains.
Compressible bandwidth statistic unit 803 is used for counting professional compressible bandwidth according to QoS of survice property parameters and NBR calculation of parameter that parameter acquiring unit 801 obtains.
Compression service selection unit 804 is used for the professional compressible bandwidth that the service integration priority level parameter that obtains according to service priority statistic unit 802 and compressible bandwidth statistic unit 803 obtain, calculate professional compression priority level, and select to carry out the business of compression according to the compression priority level of business.
It is one of following that compression service selection unit 804 comprises at least:
First subelement is used for for each business, after the compressible bandwidth of a constant divided by business, again with the comprehensive priority level addition of business, obtains the compression priority level of this business, and selects the low business of compression priority level for carrying out the business of compression;
Second subelement is used for for each business, after the comprehensive priority level of a constant divided by business, again with the compressible bandwidth addition of business, obtains the compression priority level of this business, and selects the high business of compression priority level for carrying out the business of compression;
The 3rd subelement, be used for multiply by first weight factor again after the compressible bandwidth of a constant divided by business, and with the comprehensive priority level addition of the business that multiply by second weight factor, obtain the compression priority level of this business, and select the low business of compression priority level for carrying out the business of compression;
The 4th subelement, be used for multiply by the 3rd weight factor again after divided by the comprehensive priority level of business with a constant, and with the compressible bandwidth addition of the business that multiply by the 4th weight factor, obtain the compression priority level of this business, and select the high business of compression priority level for carrying out the business of compression.
Comprise that for compression service selection unit 804 situation of the 3rd subelement or the 4th subelement, chooser module 702 also comprise the K1, K2 parameter adjustment that are used for measuring statistics according to implementation status statistical module 605 unit to the weight factor of the comprehensive priority level of business and professional compressible bandwidth.
Concrete, for compressing the situation that service selection unit 804 comprises the 3rd subelement, the first weight factor adjustment unit 805 is used for measuring according to implementation status statistical module 605 K1, K2 parameter adjustment first weight factor of statistics, and second weight factor;
The situation that comprises the 4th subelement for compression service selection unit 804, the second weight factor adjustment unit 806 (shown in Fig. 8 b) is used for measuring according to implementation status statistical module 605 K1, K2 parameter adjustment the 3rd weight factor of statistics, and the 4th weight factor.
Those skilled in the art can be according to the above disclosed compression priority level that calculates each business according to each professional priority level parameter and professional compressible bandwidth parameter, and select to carry out the method for the business of compression according to the compression priority level of business, adopt other computing formula to reach same purpose according to actual conditions, its final purpose is will weigh to consider that professional comprehensive priority level and professional compressible bandwidth considerations decide selection to carry out the business of compression, to reach the more rational purpose of selecting to carry out the business of compressing.
The embodiment of the invention decides selection to carry out the business of compression owing to having taken all factors into consideration professional comprehensive priority level and professional compressible bandwidth, it is more reasonable to make to the selection of carrying out the business of compressing, in alleviate congestion, guarantee the service quality of the business that priority is high as far as possible, guaranteed the network operation benefit.
The embodiment of the invention is owing to adopt adjustable weight factor that the comprehensive priority level parameter and the professional compressible bandwidth parameter of business are weighted, can be according to the effect after system's execution compression, in time adjust congestion control policy, further improved system with the efficient of the congestion relief situation alleviate congestion of reality and to the assurance of the service quality of high-priority service.
One of ordinary skill in the art will appreciate that all or part of step that realizes in the foregoing description method is to instruct relevant hardware to finish by program, this program can be stored in the computer read/write memory medium, as: ROM/RAM, magnetic disc, CD etc.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (19)
1. a jamming control method is characterized in that, comprising:
Close access control when congested to new access user according to up reception total bandwidth power RTWP and descending code channel transmitting power TCP decision system;
During system congestion, for inserting in each business that the user provides, select to carry out the business of compression, and the business that is selected as carrying out compression is compressed according to compressible bandwidth and comprehensive priority level.
2. the method for claim 1 is characterized in that,
Described compressible bandwidth is determined by the Mean Speed NBR and the minimum speed limit of business; And
Described comprehensive priority level is user's allocation process priority ARP, perhaps is type of service priority TC, perhaps is ARP and TC sum.
3. method as claimed in claim 2 is characterized in that, when described business was real time business, described minimum speed limit was for ensureing bit rate GBR;
When described business was non-real-time service, described minimum speed limit was the Mean Speed of system, perhaps was the TBR value of following formula:
TBR＝(ARP-1)*A
Wherein, ARP is professional allocation process priority, for more than or equal to 1 integer; A is the Mean Speed of system.
4. the method for claim 1 is characterized in that, the described method of selecting to carry out the business of compression according to compressible bandwidth and comprehensive priority level comprises:
According to formula GNP
1=Y+B/T calculates professional compression priority level GNP
1, wherein Y is a comprehensive priority level, and T is compressible amount, and B is a constant;
Select GNP
1Be worth little business as the business of carrying out compression.
5. the method for claim 1 is characterized in that, the described method of selecting to carry out the business of compression according to compressible bandwidth and comprehensive priority level comprises:
According to formula GNP
1'=C/Y+T calculates professional compression priority level GNP
1', wherein Y is a comprehensive priority level, and T is compressible amount, and C is a constant;
Select GNP
1The business that the business that ' value is big is compressed as execution.
6. the method for claim 1 is characterized in that, the described method of selecting to carry out the business of compression according to compressible bandwidth and comprehensive priority level comprises:
According to formula GNP
2=w1*Y+w2*B/T calculates GNP
2, wherein Y is a comprehensive priority level, and T is compressible amount, and B is a constant, and w1 is first weight factor, w2 is second weight factor;
Select GNP
2Be worth little business for carrying out the business of compression.
7. method as claimed in claim 6 is characterized in that, described first weight factor and second weight factor are respectively fixed value, perhaps is adjustable value.
8. method as claimed in claim 7 is characterized in that, described first weight factor, the method for adjustment when second weight factor is adjustable value are:
According to the very first time interval of setting, periodically monitor congestion relief duration and high-priority traffic and be performed the frequency that compression is handled, and handle the relation of the frequency and adjust described first weight factor, second weight factor according to being performed compression according to the congestion relief duration that detects and high-priority service in each cycle; And
According to second time interval of setting, periodically described first weight factor, second weight factor are reverted to the initial value of setting, described second interval greater than described very first time interval.
9. method as claimed in claim 8 is characterized in that, the method that the described frequency that is performed the compression processing according to the congestion relief duration and the high-priority service of detection is adjusted described first weight factor, second weight factor comprises:
If congestion relief duration increased percentage is performed the frequency increased percentage that compression is handled greater than high-priority service, then increase by second weight factor, perhaps reduce by first weight factor;
If congestion relief duration increased percentage is performed the frequency increased percentage that compression is handled less than high-priority service, then increase by first weight factor, perhaps reduce by second weight factor.
10. the method for claim 1 is characterized in that, the described method of selecting to carry out the business of compression according to compressible bandwidth and comprehensive priority level comprises:
According to formula GNP
2'=w3*C/Y+w4*T calculates GNP
2', wherein Y is a comprehensive priority level, and T is compressible amount, and C is a constant, and w3 is the 3rd weight factor, w4 is the 4th weight factor;
Select GNP
2The business that the business that ' value is big is compressed for execution.
11. method as claimed in claim 10 is characterized in that, described the 3rd weight factor, when the 4th weight factor is respectively adjustable value, and the method for adjustment of the 3rd weight factor, the 4th weight factor comprises:
According to the 3rd time interval of setting, periodically monitor congestion relief duration and high-priority service and be performed the frequency that compression is handled, and handle the relation of the frequency and adjust described the 3rd weight factor, the 4th weight factor according to being performed compression according to the congestion relief duration that detects and high-priority service in each cycle; And
According to the 4th time interval of setting, periodically described the 3rd weight factor, the 4th weight factor are reverted to the initial value of setting, the described the 4th interval greater than described the 3rd time interval.
12. method as claimed in claim 11 is characterized in that, the method that the described frequency that is performed the compression processing according to the congestion relief duration and the high-priority service of detection is adjusted described the 3rd weight factor, the 4th weight factor comprises:
If congestion relief duration increased percentage is performed the frequency increased percentage that compression is handled greater than high-priority service, then increase by the 3rd weight factor, perhaps reduce by the 4th weight factor;
If congestion relief duration increased percentage is performed the frequency increased percentage that compression is handled less than high-priority service, then increase by the 4th weight factor, perhaps reduce by the 3rd weight factor.
13., it is characterized in that the described method that the business that is selected as carrying out compression is compressed comprises as the arbitrary described method of claim 1-12:
The speed that is selected as carrying out the business of compression is reduced to this professional minimum speed limit;
If system is still congested, then remove the business that is selected as carrying out compression.
14. a congestion control device comprises:
Measurement module is used to monitor up reception total bandwidth power RTWP, descending code channel transmitting power TCP and professional Mean Speed NBR;
Judging module is used for according to up reception total bandwidth power RTWP and descending code channel transmitting power TCP decision system output system congestion notification when congested;
Congested control Executive Module is used for notifying the access control of closing new access user according to described system congestion; And for inserting in each business that the user provides, select to carry out the business of compression, and the business that is selected as carrying out compression is compressed according to compressible bandwidth and comprehensive priority level.
15. device as claimed in claim 14 is characterized in that, described congested control Executive Module comprises:
Access control switch submodule is used to close new user's access;
The chooser module is used for selecting to carry out the business of compressing for inserting each business that the user provides according to compressible bandwidth and comprehensive priority level;
The compression implementation sub-module is used for the business that described chooser module is selected is compressed.
16. device as claimed in claim 15 is characterized in that, described chooser module comprises:
Parameter acquiring unit is used to obtain professional Mean Speed NBR, QoS of survice property parameters;
The service priority statistic unit is used for determining the comprehensive priority level that each is professional according to the QoS of survice property parameters that described parameter acquiring unit obtains;
Compressible bandwidth statistic unit is used for the Mean Speed NBR of the business that obtains according to described parameter acquiring unit and the compressible bandwidth that the QoS of survice property parameters is determined each business;
Compression service selection unit is used for selecting to carry out the business of compressing according to each professional compressible bandwidth and comprehensive priority level.
17. device as claimed in claim 16 is characterized in that, it is one of following that described compression service selection unit comprises at least:
First subelement is used for for each business, after the compressible bandwidth of a constant divided by business, again with the comprehensive priority level addition of business, obtains the compression priority level of this business, and selects the low business of compression priority level for carrying out the business of compression;
Second subelement is used for for each business, after the comprehensive priority level of a constant divided by business, again with the compressible bandwidth addition of business, obtains the compression priority level of this business, and selects the high business of compression priority level for carrying out the business of compression;
The 3rd subelement, be used for multiply by first weight factor again after the compressible bandwidth of a constant divided by business, and with the comprehensive priority level addition of the business that multiply by second weight factor, obtain the compression priority level of this business, and select the low business of compression priority level for carrying out the business of compression;
The 4th subelement, be used for multiply by the 3rd weight factor again after divided by the comprehensive priority level of business with a constant, and with the compressible bandwidth addition of the business that multiply by the 4th weight factor, obtain the compression priority level of this business, and select the high business of compression priority level for carrying out the business of compression.
18. device as claimed in claim 17 is characterized in that, when described compression service selection unit comprised described the 3rd subelement, described congestion control device also comprised:
The implementation status statistical module is used to monitor the congestion relief duration and high-priority service is performed the frequency that compression is handled; And,
Described chooser module also comprises:
The weight factor adjusting module is used for being performed the frequency that compression is handled according to the congestion relief duration and the high-priority service of described implementation status statistical module monitoring, adjusts described first weight factor and second weight factor.
19. device as claimed in claim 17 is characterized in that, when described compression service selection unit comprised described the 4th subelement, described congestion control device also comprised:
The implementation status statistical module is used to monitor the congestion relief duration and high-priority service is performed the frequency that compression is handled; And,
Described chooser module also comprises:
The weight factor adjusting module is used for being performed the frequency that compression is handled according to the congestion relief duration and the high-priority service of described implementation status statistical module monitoring, adjusts described the 3rd weight factor and the 4th weight factor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2007103044444A CN101472295B (en) | 2007-12-27 | 2007-12-27 | Congestion control method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2007103044444A CN101472295B (en) | 2007-12-27 | 2007-12-27 | Congestion control method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101472295A CN101472295A (en) | 2009-07-01 |
| CN101472295B true CN101472295B (en) | 2011-02-09 |
Family
ID=40829342
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2007103044444A Active CN101472295B (en) | 2007-12-27 | 2007-12-27 | Congestion control method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101472295B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101765145A (en) * | 2009-12-22 | 2010-06-30 | 中兴通讯股份有限公司 | Method and device for judging and relieving congestion in wireless communication system |
| CN102404829B (en) * | 2011-12-07 | 2016-08-10 | 华为技术有限公司 | The method and device that power controls |
| CN103379043A (en) * | 2012-04-28 | 2013-10-30 | 中兴通讯股份有限公司 | Method and system for processing network congestion and control network element |
| CN104769999B (en) * | 2013-10-25 | 2019-06-14 | 华为技术有限公司 | Jamming control method, apparatus and system |
| US10374964B2 (en) * | 2016-03-07 | 2019-08-06 | Huawei Technologies Co., Ltd. | Control channel compression upon congestion detection |
| CN111314145A (en) * | 2020-02-25 | 2020-06-19 | 邦彦技术股份有限公司 | Flow control method, terminal and switch |
| CN113381885B (en) * | 2021-06-04 | 2022-04-08 | 郑州信大捷安信息技术股份有限公司 | Method and system for dynamically adjusting service bandwidth |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1520113A (en) * | 2002-10-29 | 2004-08-11 | ̩�ձ�˹�ɷݹ�˾ | Method and appts. for scheduling available link bandwidth between packet-switched data flows |
-
2007
- 2007-12-27 CN CN2007103044444A patent/CN101472295B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1520113A (en) * | 2002-10-29 | 2004-08-11 | ̩�ձ�˹�ɷݹ�˾ | Method and appts. for scheduling available link bandwidth between packet-switched data flows |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101472295A (en) | 2009-07-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101472295B (en) | Congestion control method and device | |
| Ameigeiras et al. | Performance of the M-LWDF scheduling algorithm for streaming services in HSDPA | |
| US9414255B2 (en) | Packet flow control in a wireless communications network based on an indication contained in a packet | |
| CN100382647C (en) | Method for converting types from public channel to dedicated channel in CDMA system | |
| EP1955497B1 (en) | Flow control for low bitrate users on high speed downlink | |
| US7808952B2 (en) | Rate adaptation of wireless communication channels | |
| US7821983B2 (en) | Effective dynamic management scheme of HS-DSCH channel codes | |
| EP2147506B1 (en) | Signal to interference ratio error as a load instability indicator for load control in cellular systems | |
| EP1512304B1 (en) | Method and network entity, for adaptive reservation of channelization codes and power | |
| US8000249B2 (en) | Method for improved congestion detection and control in a wireless telecommunications systems | |
| US8964551B2 (en) | HSPA relative bit-rate AIMD-based QoS profiling | |
| US20060291383A1 (en) | Methods for quality of service reverse link admission and overload control in a wireless system | |
| US10334472B2 (en) | QOS switching method and apparatus for QOS in a wireless communication system | |
| CN101895934B (en) | Method and device for optimizing system capacity dynamically | |
| US20140226477A1 (en) | Method, Apparatus, and System for Improving user Experience of Small Flow User | |
| EP2622801B1 (en) | Communication apparatus, method, and computer implementable product for admission control | |
| EP2119137B1 (en) | Rnc capacity licensing | |
| EP2745555B1 (en) | Uplink load control method and apparatus used in a wireless communication system | |
| CN101521916B (en) | Method for dynamically downward regulating the wireless access rate of packet services | |
| JP4348367B2 (en) | Communication system, communication unit, and capability preserving method inside | |
| CN100490554C (en) | Network optimization method and its system | |
| CN109982346A (en) | A kind of network performance optimizing method and device | |
| US20040106405A1 (en) | Method of implementing an admission control algorithm in a telecommunications system | |
| CN101521912A (en) | Congestion of mobile communication system and treatment method and device for recovering from congestion | |
| CN101765140A (en) | Admission control method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |