CN100499427C - Method for realizing communication system mixed capacity calculation - Google Patents
Method for realizing communication system mixed capacity calculation Download PDFInfo
- Publication number
- CN100499427C CN100499427C CNB031409792A CN03140979A CN100499427C CN 100499427 C CN100499427 C CN 100499427C CN B031409792 A CNB031409792 A CN B031409792A CN 03140979 A CN03140979 A CN 03140979A CN 100499427 C CN100499427 C CN 100499427C
- Authority
- CN
- China
- Prior art keywords
- service access
- throughput
- access speed
- user
- rate
- 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.)
- Expired - Fee Related
Links
Abstract
This invention discloses a method for implementing capacity calculation at mixed service in communication system. It includes: calculates the throughput of pure service at single service access rate in condition of the mobile rate for fixed user; according to the allocation proportion for the service access rate, the allocation proportion for users mobile rate and the allocation for users application service type, the calculated pure service throughput, calculates the component of mixed capacity based on the service, or the component of mixed capacity based on the rate; adds the component of mixed capacity based on the service to the component of mixed capacity based on the rate to get the capacity of communication system at mixed service.
Description
Technical field
The present invention relates to the capacity of communication system analytical technology, be meant a kind of realization communication system mixing capacity Calculation Method especially.
Background technology
In code division multiple access (CDMA) communication system, power system capacity analysis and planning are suitable complicated problems, and the basic skills that extensively adopts is that the notion of continuing to use Ireland (Erl) is carried out capacity analysis and planning to cdma communication system at present.
The unit of telephone traffic is Erl.So-called Erl is meant a talk line by the hundred-percent traffic load that takies 1 hour continuously, and perhaps two speaking circuits are respectively taken halfhour traffic load continuously.The basic definition of Erl is meant the telephone traffic the when user is busy.For example, a user average talk times when busy is 3 times, and each 5 minutes, this user's Erl was (3 * 5) ÷ 60=0.25Erl so.Corresponding, the capacity of switching network is also represented with Erl.For example, certain exchanger capacity is 1000Erl, and the supported number of users of the communication system at this switch place is 1000 ÷ 0.25=4000 so.
What in fact Erl represented is the time occupancy of resource, and the system channel access rate fixedly is a precondition of using Erl.Channel in the fixed network communication system fixedly access rate is 64Kbit/s.In the mobile communication system, capacity also available Erl in base station represents.In global system for mobile communications (GSM), single carrier frequency capacity of each sector, base station can reach 7.2Erl.In fixed network communication system and gsm communication system, the system channel access rate is all fixed, eat dishes without rice or wine the fixedly access rate of channel of gsm communication system is 9.6Kbit/s, though fixedly switching part fixedly access rate be 64Kbit/s, eat dishes without rice or wine channel and the fixing switching part relation of remaining one to one.Because this relation one to one is so available Erl represents power system capacity.
In the cdma communication system, eat dishes without rice or wine channel access rate and fixed network channel access rate in fact have not been to have concerned one to one.Because the interference-limited characteristic of CDMA capacity, when low access rate user inserted, system can insert more user, and when high access rate user inserted, system can only insert less user.Because the user inserts the uncertain characteristic of quantity,, provided the fixing hypothesis of user's access rate in order to continue to use the notion of Erl.At present, generally adopting the average access rate of user is 9.6Kbit/s, and the voice activation factor is 0.4.Under this precondition, average single carrier frequency capacity of CDMA-IS95 communication system is 15Erl, and average single carrier frequency capacity of CDMA-1X communication system is 26.5Erl.
Because Erl is the hypothesis precondition with the fixed rate, in cdma system, represent that with Erl power system capacity just has certain limitation, particularly for the CDMA-1X communication system, this limitation is just more obvious, because the CDMA-1X communication system can be the data service that the user provides different access rates, if continue to adopt the Erl notion, just the CDMA-1X communication system has a lot of pool-size parameters, this must cause analyzing and plan that the complexity of CDMA-1X capacity of communication system increases greatly.
In addition, cdma communication system for the fixed service access rate, application Erl notion is calculated by power system capacity and planning is very convenient, but introduce the data service of different access rates when cdma communication system after, communication system is supported different business and different service access speed, continue to continue to use the Erl notion and plan that capacity of communication system just becomes very complicated, and physical significance is also not obvious.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of realization communication system mixing capacity Calculation Method, simplify the thinking of calculus communication system mixing capacity greatly, reduce the complexity of calculus communication system mixing capacity.
In order to achieve the above object, the invention provides a kind of realization communication system mixing capacity Calculation Method, the method includes the steps of:
A, at different user rate travel, different service types and different business access rate, computing service amount intensity, service access speed and activity factor are long-pending respectively, and with result of calculation as under each fixed-line subscriber rate travel, the pure business throughput of single service access speed;
B, with each pure business throughput that steps A calculates, according to its corresponding user's rate travel allocation proportion, service access rate-allocation ratio and user's applied business type allocation proportion, be weighted summation successively respectively, obtain the mixing capacity component;
C, the mixing capacity component summation that step B is calculated obtain the communication system mixing capacity;
Wherein, described mixing capacity component is pure mix of traffic capacity component, fixed-line subscriber rate travel mixing capacity component or fixed service access rate mixing capacity component.
Described step B specifically may further comprise the steps:
B11, at each service access speed, under each fixed-line subscriber rate travel that steps A is calculated, user's rate travel allocation proportion that the pure business throughput of single service access speed is corresponding with it multiplies each other, each the amount summation that will obtain after will multiplying each other then calculates the throughput under each single service access speed;
Throughput and its corresponding service access rate allocation proportion under B12, each single service access speed that step B11 is calculated multiply each other, and calculate the throughput component under each single service access speed;
B13, at each type of service, throughput component and its corresponding user's applied business type allocation proportion under each single service access speed that will calculate according to step B12 multiply each other, each amount that will obtain after will multiplying each other is then sued for peace, and calculates the pure mix of traffic capacity component of each type of service.
Described step B specifically may further comprise the steps:
B41, at each service access speed, under each fixed-line subscriber rate travel that steps A is calculated, user's rate travel allocation proportion that the pure business throughput of single service access speed is corresponding with it multiplies each other, each the amount summation that will obtain after will multiplying each other then calculates the throughput under each single service access speed;
B42, at each class of business, the throughput under each single service access speed that step B41 is calculated is sued for peace, and obtains the pure business throughput component of each class of business;
The pure business throughput component of B43, each class of business that step B42 is calculated multiply by its corresponding user's applied business type allocation proportion, obtains the pure mix of traffic capacity component of each type of service.
Described step B specifically may further comprise the steps:
B21, at each mobile subscriber's speed, under each fixed-line subscriber rate travel that steps A is calculated, the pure business throughput of single service access speed and its corresponding service access rate allocation proportion multiply each other, and then each amount summation of obtaining after multiplying each other of the user applied business type allocation proportion corresponding with it, calculate the throughput under each fixed-line subscriber rate travel;
The throughput user rate travel allocation proportion corresponding with it under B22, each fixed-line subscriber rate travel that step B21 is calculated multiplies each other, and calculates each fixed-line subscriber rate travel mixing capacity component.
Described step B specifically may further comprise the steps:
B31, at each service access speed, under each fixed-line subscriber rate travel that steps A is calculated, user's rate travel allocation proportion that the pure business throughput of single service access speed is corresponding with it multiplies each other, and then each amount summation of obtaining after multiplying each other of the user applied business type allocation proportion corresponding with it, calculate the throughput under each single service access speed;
Throughput and its corresponding service access rate allocation proportion under B32, each single service access speed that step B31 is calculated multiply each other, and calculate the service access speed mixing capacity component of determining type of service.
The rate-allocation of service access described in step B ratio is: the every grade of allocation proportion of service access speed under this service access speed and with the long-pending summation of the corresponding service access speed of its rank level allocation ratio.
According to the proposed method, adopt and mix the mixing capacity that throughput is represented current communication system, physical significance is clearer and more definite, realize simpler, convenient, simplified the thinking of calculus communication system mixing capacity greatly, reduce the complexity of calculus communication system mixing capacity, and utilize and mix throughput and communicate system network planning, the engineering design that can greatly promote communication system with research and analyse.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, below the present invention is described in further detail.
The description of capacity of communication system and qualitative analysis, it is complicated problems very always, particularly on the basis of speech business, after introducing the data service of different business access rate, it is quite complicated that the description of communication system mixing capacity and analysis become, therefore, the communication system mixing capacity engineering calculation with research and analyse in very the difficulty.The present invention proposes, and with mixing throughput direct representation communication system mixing capacity, explicit physical meaning has been simplified the thinking of calculus communication system mixing capacity greatly, the engineering design that has greatly promoted communication system with research and analyse.Be example below with the cdma communication system, concrete technical scheme of the present invention is described in detail.
Cdma communication system capacity and external interference are closely related, and under the different external interference conditions, the capacity of cdma communication system is different, is presented as the soft capacity of cdma communication system.Because cdma communication system is the self-interference system, its capacity and external interference are closely related, increase along with number of users, external interference increases gradually, when number of users is increased to a certain degree, if continuation increases number of users then can reduce network quality, reach the maximum size of cdma communication system this moment.Consider that speech business and data service only are the notions of a high level, for the bottom that is positioned at transmission, be that speech business or data service all show as data bit, the interference volume of system is directly consistent with the data bit of eating dishes without rice or wine to transmit, and proposes directly to represent with the mixing throughput method of cdma communication system mixing capacity here.
Throughput and Erl have a direct corresponding relation physically, and Erl measures high, and throughput is just high; The Erl amount is low, and throughput is just low.Formula (1) is the basic calculating formula that Erl is converted into throughput:
S=A
v×v×α
r (1)
Wherein, S is a throughput; A
vBe traffic intensity, unit is Erlang; V is a service access speed; α
rBe activity factor, that is: throughput=traffic intensity * service access speed * activity factor, the activity factor with speech business is defined as 0.4 usually, and the activity factor of data service is defined as 1.
In the different communication systems, traffic intensity A
vDefinition be different.S herein is the business throughput of certain fixed service access rate, unit is Kbps, be Kbits/s, for example if all users' the data service of all adopting 19.2Kbps in certain sub-district, be v=19.2kbps, and this moment, the sub-district total capacity was 10Erlang, then can get the data service throughput S=10 * 19.2 * 1=192kbps of sub-district.
In cdma communication system, relate to reverse throughput and forward direction throughput based on throughput, but, therefore only the computational methods based on the reverse mixing capacity of cdma communication system of throughput are described because at present cdma communication system remains oppositely limited communication system.
According to the soft capacity characteristic of cdma communication system, when cdma communication system is carried out capacity analysis, introduce the soft block notion.Owing to power system capacity is not enough the user is blocked and be called soft block.Soft block is that the base station has enough channels to use, but owing to have many consumers in this base station coverage area, current interference level is if increase a user, will make to disturb the threshold value that is higher than prior setting, and current calling will be rejected.Can obtain bigger power system capacity by reducing operation quality requirement, power system capacity just increases along with the reduction of quality of service index like this.Soft block belongs to a kind of index and blocks, and different load can obtain different cdma communication system capacity with the different business quality requirement.
Formula (2) is the cdma communication system soft block capacity model formula under Gaussian approximation:
Wherein:
X
0Be service blocking rate, promptly annoyance level is determined by the traffic model simulation result of cdma communication system;
Be processing gain; α is average activity factor;
Be the second order activity factor, the representative value of speech business is 0.31; ε is the outer area interference factor, determines by the traffic model simulation result of cdma communication system; ε ' is the outer area interference factor of second order, determines by the traffic model simulation result of cdma communication system; ρ is the demodulation intermediate value, is
β=(ln10)/10, m
DBBe professional demodulation threshold, generally can determine this business demodulation threshold m by the agreement of cdma communication system
DB, agreement has different requirements for the demodulation threshold under different business access rate and the different frame error rate; σ is professional demodulation threshold standard deviation, i.e. power control variance is determined by communication system; The reverse Irish capacity of M:CDMA communication system; B
CDMA: system's soft block load, value is 1%~2% usually.
In the formula (2), cdma communication system reverse capacity, radio link quality, power control precision correspond respectively to M, ρ, three variablees of σ.Formula (2) is illustrated in certain demodulation threshold (ρ), certain power control variance (σ), assumed average activity factor (α), that is: certain area interference (ε and ε '), certain cell load (X
0) under, a fixed system soft block rate (B
CDMA) under the condition, the cdma communication system reverse capacity (M) that obtains.Different network conditions will obtain the reverse Irish capacity of different cdma communication systems (M).
To be converted into the reverse throughput of cdma communication system according to formula (1) according to the reverse Irish capacity of the cdma communication system that certain network condition calculates (M).For example, obtaining the reverse Irish capacity M of cdma communication system is 10Erl, for the data service with the transmission of 9.6Kbps access rate, calculates the throughput S=A of gained according to formula (1)
v* v * α
r=10 * 9.6 * 1=96Kbps.
Table one is based on formula (2), and different network conditions under the corresponding different user rate travel of different business access rate, calculates the reverse throughput of cdma communication system of gained.
Table one
The characteristics of mobile communication are exactly that the user can communicate under different rate travels, and for cdma communication system, different user's rate travels can produce certain influence to the capacity of cdma communication system.During the mixing capacity of calculus communication system, computational process is varied, and main purpose is to calculate the mixing capacity component, then the mixing capacity addition that calculates is the mixing capacity of cdma communication system.The mixing capacity component here can be pure mix of traffic capacity component, fixed service access rate mixing capacity component or fixed-line subscriber rate travel mixing capacity component.Be example with computing service mixing capacity component below, computational process is described.
By to as can be seen based on the cdma communication system reverse capacity analysis of throughput, under different business access rate ratio, the different user rate travel ratio, the cdma communication system channel of eating dishes without rice or wine has different capacity, by can analyze the eat dishes without rice or wine mixing capacity of channel of cdma communication system in conjunction with traffic model and different business access rate ratio and different user rate travel ratio.
Based on analysis, can obtain the data service access rate ranking score mixing ratio shown in the table two to cdma communication system live traffic model; Every grade of allocation proportion of data service access rate shown in the table three; User's applied business type allocation proportion shown in the table four; The allocation proportion that user shown in the table five communicates under different rate travels.
Project | Distribute the statistics ratio |
Low end subscriber | 60% |
Middle end subscriber | 25% |
High-end user | 15% |
Table two
Table three
Type of service | The service distribution ratio |
Pure speech business user | 90% |
The clear data service-user | 0% |
Mixed service (voice+data) user | 10% |
Table four
Static (0Km/h) | Walking (3Km/h) | The speed of a motor vehicle (8Km/h) | The speed of a motor vehicle (30Km/h) | The speed of a motor vehicle (100Km/h) | |
Speech business | 60% | 20% | 14% | 5% | 1% |
Data service | 90% | 5% | 2% | 2% | 1% |
Table five
In conjunction with above definite different allocation proportions, specifically provide the computational process of cdma communication system mixing capacity, the computational process of calculating the cdma communication system mixing capacity may further comprise the steps:
Steps A: calculate under the fixed-line subscriber rate travel, the pure business throughput of single service access speed can draw the result shown in the similar table one.Fixed-line subscriber rate travel herein is meant a certain definite user's rate travel, therefore, under the fixed-line subscriber rate travel, the pure business throughput of single service access speed is under a certain fixed-line subscriber rate travel, the pure business throughput of single service access speed, when for example user's rate travel is 3Km/h, the pure business throughput of single service access speed.
Step B: the allocation proportion of calculating each service access speed.Therefore have only 9.6Kbps service access speed for speech business, the allocation proportion at the 9.6Kbps service access speed of speech business is 100%.For data service, its service access speed has multiple, and be divided into low end subscriber again according to its different service access speed, middle end subscriber and three ranks of high-end user, each rank user's different pieces of information service access speed has been divided the pro rate situation again in detail, for example, the allocation proportion of 9.6Kbps service access speed is in the data service, 9.6Kbps the low end subscriber proportion under the service access speed multiply by low side class user allocation proportion, add that the middle end subscriber proportion under the 9.6Kbps service access speed multiply by middle-end class user allocation proportion, the high-end user proportion of adding under the 9.6Kbps service access speed multiply by high-end class user allocation proportion, data in correspondence table two and the table three are: the allocation proportion=100% * 60%+25% * 25%+5% * 15%=67% of 9.6Kbps service access speed in the data service, same computable number is 17.5% according to the allocation proportion of 19.2Kbps service access speed in the business, the allocation proportion of 28.8Kbps service access speed is 7.5% in the data service, or the like.
Step C: according under the fixed-line subscriber rate travel that calculates in the steps A, the pure business throughput of single service access speed, i.e. data that calculate in the table one, and the allocation proportion that under different rate travels, communicates of the user in the table five, calculate the single service access speed throughput under the different user rate travel, for the throughput=138.5 * 90%+113.0 * 5%+88.1 * 2%+65.4 * 2%+78.0 * 1%=134.15Kbps of 19.2Kbps service access speed in the data service.
Step D: according to each the service access rate-allocation ratio that calculates among the step B, and the single service access speed throughput that calculates among the step C, calculate single service access speed throughput component, for the throughput component=134.15Kbps * 17.5%=23.476Kbps of 19.2Kbps service access speed in the data service.
Step e: according to the single service access speed throughput component that calculates among the step D, and the user's applied business type allocation proportion in the table four, calculate the pure business throughput component of single service access speed, for the pure business throughput component=23.476Kbps * 10%=2.3476Kbps of 19.2Kbps service access speed in the data service.
Step F: calculate pure mix of traffic capacity component, be about to the pure business throughput component summation of single service access speed under identical services kind, the different single service access speed.
Step e also can obtain pure business throughput component with the different single service access speed throughput summation of the identical services kind that calculates among the step C; Correspondingly, step F multiply by the pure business throughput component that calculates in the step e and the corresponding applied business type of this class of business allocation proportion, also can obtain corresponding pure mix of traffic capacity component.
Step G: the pure mix of traffic capacity component addition with calculating in the step F obtains the cdma communication system mixing capacity.
According to above thinking, fixed service access rate mixing capacity component or fixed-line subscriber rate travel mixing capacity component can be calculated earlier respectively, again fixed service access rate mixing capacity component or the summation of fixed-line subscriber rate travel mixing capacity component also the cdma communication system mixing capacity can be obtained at last.In addition, can calculate required physical quantity by different steps, therefore, under the prerequisite that can calculate the cdma communication system mixing capacity, method of the present invention has diversified realization approach and calculation procedure, gives unnecessary details no longer one by one at this.
On the above basis that obtains the cdma communication system mixing capacity, in actual applications, the cdma communication system mixing capacity of utilizing said method to obtain, can carry out MRP to cdma communication system, MRP comprises website frequency planning and channel resource planning, utilizes the throughput method for expressing can carry out the MRP of cdma communication system mixed service easily.Process based on the cdma communication system mixed service MRP of mixing capacity may further comprise the steps:
Step 1: carrier frequency and base station are configured,, can cook up and satisfy needed basic carrier frequency number and base station number in the traffic coverage condition lower area according to cdma communication system traffic model and overlay area user's average throughput.Carrier frequency and base station configuration can be subdivided into following steps:
Overlay area user's average throughput=pure speech business user ratio * pure speech business user average throughput+clear data service-user ratio * clear data service-user average throughput+mixed service user's ratio * mixed service user's average throughput, overlay area user's average throughput is meant each user's who obtains according to the cdma communication system traffic model throughput, pure speech business user ratio, clear data service-user ratio and mixed service user ratio as shown in Table 5, pure speech business user average throughput, clear data service-user average throughput and mixed service user average throughput can obtain according to the emulation of cdma communication system traffic model.
Plan that single carrier frequency can hold the average mixing capacity of number of users=single carrier frequency/overlay area user's average throughput, the average mixing capacity of single carrier frequency is the mixing capacity of previous calculations.
Need carrier frequency number=overlay area number of users/single carrier frequency of planning can hold number of users, the overlay area number of users is determined according to system design.
Step 2: sector channel is configured, and the process of sector channel configuration may further comprise the steps:
Step 1: voice channel resource=pure speech business throughput/speech business flux/voice activation factor, pure speech business throughput promptly calculates according to method provided by the invention, and the speed of speech business is 9.6Kbps, and the voice activation factor is 0.4.
The step 2:FCH data throughout ratio=average access rate of FCH data basic rate/data service, SCH data throughout ratio=(the average access rate of data service-FCH data the basic rate)/average access rate of data service=1-FCH data throughout ratio, wherein, the FCH channel is a primary channel, the SCH channel is a complement channel, according to the data shown in table three and the table four, the average access rate of data service=9.6 * (100% * 100%+25% * 25%+5% * 15%)+19.2 * (40% * 25%+5% * 15%)+28.8 * (18% * 25%+20% * 15%)+48 * (12% * 25%+25% * 15%)+86.4 * (4% * 25%+30% * 15%)+163.2 * (1% * 25%+15% * 15%)=22.7Kbps, FCH data basic rate is 9.6Kbps.
Step 3:FCH channel resource=FCH data throughout/(FCH data basic rate), SCH channel resource=SCH data throughout/(SCH data basic rate * data demodulates resource utilization), clear data business throughput * FCH data throughout the ratio of FCH data throughout=calculate according to method provided by the invention, in like manner, can calculate the SCH data throughout, SCH data basic rate is 9.6Kbps, the data demodulates resource utilization is forward direction consumable unit element (CE) resource and the ratio that oppositely consumes the CE resource, for example, in the CE resource, it is unit with 9.6Kbps that forward direction consumes the CE resource, oppositely consuming the CE resource is unit with 19.2Kbps, and when the data service access rate was 19.2Kbps, forward direction consumed 2 CE resources, oppositely consume 2 CE resources, the data demodulates resource utilization is 1.
Step 4:SCH channel does not participate in soft handover, does not promptly increase channel resource, the basic total channel resource in base station=(voice channel resource+FCH channel resource) * (1+ the soft-switch proportion)+SCH channel resource behind the consideration soft handover.
Step 5: public access channel of configuration is considered in each sector, need configurating channel number=ErlB (basic total channel resource in base station, system's soft block load), promptly use the ErlB formula according to base station primary channel resource that calculates in the step 4 and the soft block load B of system
CDMA, needing to obtain the configurating channel number by the anti-ErlangB of looking into table.
Step 6: speech business user throughput=single carrier frequency of planning can hold number of users * (pure speech business user ratio+mixed service-user ratio) * speech business user average throughput, speech business user average throughput is approximately the pure speech business user average throughput described in the step 1, and mixed service user's ratio is to open user's allocation proportion of voice and data service.
Step 7: data service FCH data throughout=single carrier frequency of planning can hold number of users * (clear data service-user ratio+mixed service user's ratio) * data service user average throughput * FCH data throughout ratio, and data service user average throughput is approximately the clear data service-user average throughput described in the step 1.
Step 8: data service SCH data throughout=single carrier frequency of planning can hold number of users * (clear data service-user ratio+mixed service user's ratio) * data service user average throughput * SCH data throughout ratio
Actual project planning process need draws more detailed user's configuring condition in conjunction with overlay area planning and user distribution situation, and user distribution is more sparse in city suburbs, just can satisfy the demand with less channel configuration; And in the city user distribution than comparatively dense, need the many channels of configuration could satisfy the capacity needs.Table six is based on system's Typical Disposition situation of cdma communication system mixing capacity.
Every sector number of users | Speech business flux (Kbps) | Voice need channel | Data service flux (Kbps) | Data need channel |
100 | 7680 | 2 | 485.80 | 0.03 |
250 | 19200 | 5 | 1214.50 | 0.08 |
550 | 42240 | 11 | 2671.90 | 0.19 |
1150 | 88320 | 23 | 5586.70 | 0.39 |
1750 | 134400 | 35 | 8501.50 | 0.59 |
Table six
In a word, the above is preferred embodiment of the present invention only, is not to be used to limit protection scope of the present invention.
Claims (6)
1, a kind of realization communication system mixing capacity Calculation Method is characterized in that the method includes the steps of:
A, at different user rate travel, different service types and different business access rate, computing service amount intensity, service access speed and activity factor are long-pending respectively, and with result of calculation as under each fixed-line subscriber rate travel, the pure business throughput of single service access speed;
B, with each pure business throughput that steps A calculates, according to its corresponding user's rate travel allocation proportion, service access rate-allocation ratio and user's applied business type allocation proportion, be weighted summation successively respectively, obtain the mixing capacity component;
C, the mixing capacity component summation that step B is calculated obtain the communication system mixing capacity;
Wherein, described mixing capacity component is pure mix of traffic capacity component, fixed-line subscriber rate travel mixing capacity component or fixed service access rate mixing capacity component.
2, method according to claim 1 is characterized in that described step B specifically may further comprise the steps:
B11, at each service access speed, under each fixed-line subscriber rate travel that steps A is calculated, user's rate travel allocation proportion that the pure business throughput of single service access speed is corresponding with it multiplies each other, each the amount summation that will obtain after will multiplying each other then calculates the throughput under each single service access speed;
Throughput and its corresponding service access rate allocation proportion under B12, each single service access speed that step B11 is calculated multiply each other, and calculate the throughput component under each single service access speed;
B13, at each type of service, throughput component and its corresponding user's applied business type allocation proportion under each single service access speed that step B12 is calculated multiply each other, each amount that will obtain after will multiplying each other is then sued for peace, and calculates the pure mix of traffic capacity component of each type of service.
3, method according to claim 1 is characterized in that described step B specifically may further comprise the steps:
B41, at each service access speed, under each fixed-line subscriber rate travel that steps A is calculated, user's rate travel allocation proportion that the pure business throughput of single service access speed is corresponding with it multiplies each other, each the amount summation that will obtain after will multiplying each other then calculates the throughput under each single service access speed;
B42, at each class of business, the throughput under each single service access speed that step B41 is calculated is sued for peace, and obtains the pure business throughput component of each class of business;
The pure business throughput component of B43, each class of business that step B42 is calculated multiply by its corresponding user's applied business type allocation proportion, obtains the pure mix of traffic capacity component of each type of service.
4, method according to claim 1 is characterized in that described step B specifically may further comprise the steps:
B21, at each mobile subscriber's speed, under each fixed-line subscriber rate travel that steps A is calculated, the pure business throughput of single service access speed and its corresponding service access rate allocation proportion multiply each other, and then each amount summation of obtaining after multiplying each other of the user applied business type allocation proportion corresponding with it, calculate the throughput under each fixed-line subscriber rate travel;
The throughput user rate travel allocation proportion corresponding with it under B22, each fixed-line subscriber rate travel that step B21 is calculated multiplies each other, and calculates each fixed-line subscriber rate travel mixing capacity component.
5, method according to claim 1 is characterized in that described step B specifically may further comprise the steps:
B31, at each service access speed, under each fixed-line subscriber rate travel that steps A is calculated, user's rate travel allocation proportion that the pure business throughput of single service access speed is corresponding with it multiplies each other, and then each amount summation of obtaining after multiplying each other of the user applied business type allocation proportion corresponding with it, calculate the throughput under each single service access speed;
Throughput and its corresponding service access rate allocation proportion under B32, each single service access speed that step B31 is calculated multiply each other, and calculate each fixed service access rate mixing capacity component.
6, method according to claim 1, it is characterized in that the ratio of service access rate-allocation described in the step B is: the every grade of allocation proportion of service access speed under this service access speed and with the long-pending summation of the corresponding service access speed of its rank level allocation ratio.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB031409792A CN100499427C (en) | 2003-06-06 | 2003-06-06 | Method for realizing communication system mixed capacity calculation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB031409792A CN100499427C (en) | 2003-06-06 | 2003-06-06 | Method for realizing communication system mixed capacity calculation |
Publications (2)
Publication Number | Publication Date |
---|---|
CN1553615A CN1553615A (en) | 2004-12-08 |
CN100499427C true CN100499427C (en) | 2009-06-10 |
Family
ID=34323944
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CNB031409792A Expired - Fee Related CN100499427C (en) | 2003-06-06 | 2003-06-06 | Method for realizing communication system mixed capacity calculation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN100499427C (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN100450250C (en) * | 2005-10-25 | 2009-01-07 | 华为技术有限公司 | Evaluating method for air interface volume of interference limiting system |
CN100464598C (en) * | 2006-03-06 | 2009-02-25 | 华为技术有限公司 | Method for configurating shared channel resource |
CN101959085B (en) * | 2009-07-20 | 2012-12-05 | 中国移动通信集团北京有限公司 | Method and system for determining number of channels |
-
2003
- 2003-06-06 CN CNB031409792A patent/CN100499427C/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
CN1553615A (en) | 2004-12-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN100551119C (en) | The method and the base station that are used for allocated bandwidth in the wireless single-hop self-return network | |
CN100382637C (en) | Allocation of radio resources to radio bearers | |
CN101801099A (en) | Method and apparatus for high rate packet data and low delay data transmissions | |
CN1703843B (en) | Method and device for reducing multi-address interference in communication network | |
CN104717755A (en) | Downlink frequency spectrum resource distribution method with D2D technology introduced in cellular network | |
CN102036385B (en) | Method for scheduling resources among cells, base stations, user equipment and mobile communication system | |
CN101621828A (en) | Method and system for controlling admission for user in high-speed downlink packet access | |
CN100481986C (en) | Method and equipment for allocation the quantity of a channel to a mobile station as a function of the measured quality | |
Zorzi et al. | Slotted ALOHA for high-capacity voice cellular communications | |
Patil et al. | Reducing feedback for opportunistic scheduling in wireless systems | |
Wie et al. | Time slot allocation scheme based on a region division in CDMA/TDD systems | |
Yang et al. | Ultra-reliable low-latency transmission of small data over fading channels: A data-oriented analysis | |
CN102395158B (en) | Load balance optimization method considering user service quality requirements in mobile communication system | |
Yang et al. | Capacity plane of CDMA system for multimedia traffic | |
CN101626575A (en) | Method, device and system for performing frequency planning in wireless Mesh returning network | |
CN100421517C (en) | Wireless configuration type distributing method | |
CN100499427C (en) | Method for realizing communication system mixed capacity calculation | |
Chen et al. | Performance comparisons of dynamic resource allocation with/without channel de-allocationin GSM/GPRS networks | |
US20070218916A1 (en) | Method and system for resource allocation based on distributed scheduling in a wireless comunication system including heterogeneous mobile stations | |
Abramson | Wideband random access for the last mile | |
CN1333614C (en) | A wireless network planning method for high speed data service | |
CN100426705C (en) | Down link call connection control method of broadband CDMA mobile communication system | |
Varsou et al. | HOLPRO: a new rate scheduling algorithm for the downlink of CDMA networks | |
CN1627676B (en) | Channel code mapping method of down going sharing channels in broadband CDMA system | |
CN104640226A (en) | Multiservice-based resource scheduling method and device in cognitive relay system |
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 | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090610 Termination date: 20150606 |
|
EXPY | Termination of patent right or utility model |