CN101527939B - Method and device for UE bandwidth demand forecasting used for HSUPA system - Google Patents

Abstract

The invention provides a method for UE bandwidth demand forecasting used for an HSUPA system, which comprises the following steps: receiving SI information from each user equipment UEi to acquire data quantity HLBSI of a highest priority logic channel buffer area and data quantity TEBSI of a total buffer area of each user equipment; computing weighting bandwidth request of each MAC-d of each user equipment according to the HLBSI and the TEBSI; and for each MAC-d, summing the weighting bandwidth request of each user equipment to acquire total flow demand of the MAC-d used for forecasting the UE bandwidth demand. The method and the device perform reasonable correction on futural service data transmission speed demand of the UE, and provide reference for a transmission resource control module to allocate reasonable transmission resources.

Description

The UE bandwidth demand Forecasting Methodology and the device that are used for the HSUPA system

Technical field

The present invention relates to the communications field, in particular to a kind of UE bandwidth demand Forecasting Methodology and device that is used for HSUPA (HighSpeed Uplink Packet Access, High Speed Uplink Packet inserts) system.

Background technology

WCDMA (Wideband Code Division Multiple Access, WCDMA mobile communication system) system is based on CDMA (Code Division MultipleAccess, code division multiple access) broadband cellular wireless communication system is supported a greater variety of types of service and high data rate traffic transmittability more.HSUPA is WCDMA normal structure 3GPP (3 ^RdGeneration Partnership Project) enhancement techniques of the uplink ability in the standard of Zhi Dinging.The HSUPA system can be significantly improved on the transmission performance of uplink service than traditional WCDMA version, use the WCDMA system of HSUPA technology, comprised RNC (Radio Network Controller, radio network controller), NodeB and UE (User Equipment, terminal), wherein comprised some sub-districts (Cells) among the NodeB, the sub-district is the common radio resources of serving for UE in the same area in the system, in HSUPA, by the sub-district can measuring system the ascending load degree.

In HSUPA the function that customer service is controlled and dispatched has been placed among the NodeB, NodeB is that unit finishes with the sub-district to the scheduling of UE.NodeB considers the Radio Resource situation except needs when Resources allocation, also to consider the wire transmission resource between RNC and the NodeB, guarantee that up service data transmission rate is no more than the transmission rate that the wire transmission resource is supported in the NodeB, if up service data transmission rate has surpassed the transmission rate that the wire transmission resource is supported, can produce the congestion problems of transfer of data, finally cause the generation of business datum packet loss or the excessive phenomenon of time delay, thereby influence the requirement of delivery of user traffic quality.

Be to distribute rational transfer resource bandwidth at present by the transfer resource control module of NodeB for the method that prevents to transmit data congestion, and this bandwidth constraints information sent to the UE Resource Scheduler that is positioned at NodeB, scheduler considers that when distributing UE to authorize the bandwidth of distributing at present surpasses bandwidth constraints.

In realizing process of the present invention, the inventor finds that there are the following problems at least in the prior art: NodeB transfer resource control module is when allocation of transmission bandwidth, the transmission rate request of UE is dynamic change, and with the type of service of UE with and priority relation is also arranged.Therefore, the UE Resource Scheduler that is positioned at NodeB accurately each logic channel of forecasting institute scheduling UE to the demand summation of transmission bandwidth.

Summary of the invention

The present invention aims to provide the UE bandwidth demand Forecasting Methodology and the device of a kind of HSUPA of being used for system, can solve be positioned at NodeB the UE Resource Scheduler accurately each logic channel of forecasting institute scheduling UE to the problem of the demand summation of transmission bandwidth.

In an embodiment of the present invention, provide the subscriber equipment bandwidth demand Forecasting Methodology of a kind of HSUPA of being used for system, may further comprise the steps: received from each user equipment (UE) _iSI information, therefrom obtain the data volume HLBS of the highest priority logical channel buffering area of each subscriber equipment _i, total buffer data volume TEBS _iAccording to HLBS _i, TEBS _iCalculate the weighting bandwidth request of MAC-d of each logic channel correspondence of each subscriber equipment; And for each MAC-d, with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand.

Preferably, according to HLBS _i, TEBS _iThe weighting bandwidth request of MAC-d of calculating each logic channel correspondence of each subscriber equipment specifically comprises: DM is set _{I, j}=0, wherein j is the label of each logic channel; According to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}, h belongs to j; According to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}, k belongs to j; Calculate UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n); According to DM _{I, j}And HDR _{I, j}(n) try to achieve the weighting bandwidth request.

Preferably, according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}Specifically comprise: DM _{I, h}=HLBS _i* TEBS _i* (Pri _h+ 1)/M, wherein Pri _hThe priority of presentation logic channel h, the quantity of M presentation logic channel.

Preferably, according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}Specifically comprise: DM _{I, k}=(1-HLBS _i) * TEBS _i* (Pri _k+ 1)/M, wherein Pri _kThe priority of presentation logic channel k, the quantity of M presentation logic channel.

Preferably, calculate UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n) specifically comprise: HDR _{I, j}(n)=W_1 * HDR _{I, j}(n-1)+(1-W_1) * CDR _{I, j}(n); Wherein, HDR is historical Mean Speed, and CDR is a present rate, and W_1 is the speed filtering factor, and value is from 0～1, and in order to embody up-to-date rate behavior in Mean Speed, W_1 is configured to 0.05, and j is the label of each logic channel.

Preferably, according to DM _{I, j}And HDR _{I, j}(n) trying to achieve the weighting bandwidth request specifically comprises: weighting bandwidth request: BR _{I, j}=W_2 * W_3 * DM _{I, j}+ (1-W_2) * HDR _{I, j}Wherein W_2 is the weight coefficient of bandwidth request, and value is from 0～1, and W_3 is the conversion factor of data volume to bandwidth, and value is from 0～1.

Preferably, W_2 is configured to 0.95; TTI=10ms, W_3 is configured to 0.01.

Preferably, for the MAC-d of each logic channel correspondence, with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand and specifically comprises: the total flow demand ${\mathrm{BR}}_j=\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{\mathrm{BR}}_{i,j}.$

A kind of subscriber equipment bandwidth demand prediction unit that is used for the HSUPA system comprises: parsing module is used for receiving from each user equipment (UE) _iSI information, therefrom obtain the data volume HLBS of the highest priority logical channel buffering area of each subscriber equipment _i, total buffer data volume TEBS _iComputing module is used for according to HLBS _i, TEBS _iCalculate the weighting bandwidth request of MAC-d of each logic channel correspondence of each subscriber equipment; And summation module, be used for for each MAC-d, with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand.

Preferably, computing module specifically comprises: first module is used to be provided with DM _{I, j}=0, wherein j is the label of each logic channel; Unit second is used for according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}, h belongs to j; Unit the 3rd is used for according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}, k belongs to j; Unit the 4th is used to calculate UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n); Unit the 5th is used for according to DM _{I, j}And HDR _{I, j}(n) try to achieve the weighting bandwidth request.

UE bandwidth demand Forecasting Methodology that is used for the HSUPA system of the above embodiment of the present invention and device are because the schedule information of utilizing the UE of NodeB control to report, estimate the demand of UE current business data to transmission bandwidth, and in conjunction with the historical transmission rate of each business of the UE that is scheduled, solved the UE Resource Scheduler that is positioned at NodeB and can not accurately predict and estimate the problem of each logic channel of the UE that dispatches the demand summation of transmission bandwidth, and then the service data transmission rate demand in UE future reasonably revised, distributing rational transfer resource for the transfer resource control module provides reference.

Description of drawings

Accompanying drawing described herein is used to provide further understanding of the present invention, constitutes the application's a part, and illustrative examples of the present invention and explanation thereof are used to explain the present invention, do not constitute improper qualification of the present invention.In the accompanying drawings:

Fig. 1 shows the flow chart according to the UE bandwidth demand Forecasting Methodology that is used for the HSUPA system of the embodiment of the invention;

Fig. 2 shows the flow chart that carries out the service transmission bandwidth estimating step according to the embodiment of the invention;

Fig. 3 shows the information flow chart between each functional module in the HSUPA system according to the preferred embodiment of the invention; And

Fig. 4 shows the block diagram according to the UE bandwidth demand prediction unit that is used for the HSUPA system of the embodiment of the invention.

Embodiment

Below with reference to the accompanying drawings and in conjunction with the embodiments, describe the present invention in detail.

Fig. 1 shows the flow chart according to the UE bandwidth demand Forecasting Methodology that is used for the HSUPA system of the embodiment of the invention, may further comprise the steps:

Step S10 receives from each user equipment (UE) _iSI information, therefrom obtain the data volume HLBS of the highest priority logical channel buffering area of each subscriber equipment _i, total buffer data volume TEBS _i

Step S20 is according to HLBS _i, TEBS _iCalculate the weighting bandwidth request of MAC-d of each logic channel correspondence of each subscriber equipment; And

Step S30, for each MAC-d, with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand.

The UE bandwidth demand Forecasting Methodology that is used for the HSUPA system of this embodiment is because the schedule information of utilizing the UE of NodeB control to report, estimate the demand of UE current business data to transmission bandwidth, and in conjunction with the historical transmission rate of each business of the UE that is scheduled, solved the UE Resource Scheduler that is positioned at NodeB and can not accurately predict and estimate the problem of each logic channel of the UE that dispatches the demand summation of transmission bandwidth, and then the service data transmission rate demand in UE future reasonably revised, distributing rational transfer resource for the transfer resource control module provides reference.

Preferably, according to HLBS _i, TEBS _iThe weighting bandwidth request of MAC-d of calculating each logic channel correspondence of each subscriber equipment specifically comprises: DM is set _{I, j}=0, wherein j is the label of each logic channel; According to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}, h belongs to j; According to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}, k belongs to j; Calculate UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n); According to DM _{I, j}And HDR _{I, j}(n) try to achieve the weighting bandwidth request.

Preferably, according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}Specifically comprise: DM _{I, h}=HLBS _i* TEBS _i* (Pri _h+ 1)/M, wherein Pri _hThe priority of presentation logic channel h, the quantity of M presentation logic channel.

Preferably, according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}Specifically comprise: DM _{I, k}=(1-HLBS _i) * TEBS _i* (Pri _k+ 1)/M, wherein Pri _kThe priority of presentation logic channel k, the quantity of M presentation logic channel.

Preferably, calculate UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n) specifically comprise: HDR _{I, j}(n)=W_1 * HDR _{I, j}(n-1)+(1-W_1) * CDR _{I, j}(n); Wherein, HDR is historical Mean Speed, and CDR is a present rate, and W_1 is the speed filtering factor, and value is from 0～1, and in order to embody up-to-date rate behavior in Mean Speed, W_1 is configured to 0.05, and j is the label of each logic channel.

Preferably, according to DM _{I, j}And HDR _{I, j}(n) trying to achieve the weighting bandwidth request specifically comprises: weighting bandwidth request: BR _{I, j}=W_2 * W_3 * DM _{I, j}+ (1-W_2) * HDR _{I, j}Wherein W_2 is the weight coefficient of bandwidth request, and value is from 0～1, and W_3 is the conversion factor of data volume to bandwidth, and value is from 0～1.

Preferably, W_2 is configured to 0.95; TT _I=10ms, W_3 is configured to 0.01.

Preferably, for each MAC-d, with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand and specifically comprises: the total flow demand ${\mathrm{BR}}_j=\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{\mathrm{BR}}_{i,j}.$

Fig. 2 shows the flow chart according to the processing method of the HSUPA upstream bandwidth prediction of the embodiment of the invention, may further comprise the steps:

Step S210 passes through UE _iThe up-to-date SI information that reports obtains the data volume HLBS of the highest logic channel buffering area of UE _iData volume TEBS with total buffer _i

Step S220 calculates UE _iThe MAC-d flow of highest priority logical channel buffering area correspondence _hData volume DM _{I, h}

Step S230 calculates UE _iThe MAC-d flow of inferior high logic channel buffering area correspondence _kData volume DM _{I, k}

Step S240 calculates UE _iJ MAC-d flow correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n);

Step S250 calculates UE _iWeighting bandwidth request BR to j MAC-d _{I, j}

Step S260 calculates each MAC-dflow _jThe total flow demand; And

Step S270 is with each MAC-dflow _jTotal flow demand BR _jReport NodeB transfer resource control module.

The UE bandwidth demand Forecasting Methodology that is used for the HSUPA system of this embodiment is because the schedule information of utilizing the UE of NodeB control to report, estimate the demand of UE current business data to transmission bandwidth, and in conjunction with the historical transmission rate of each business of the UE that is scheduled, solved the UE Resource Scheduler that is positioned at NodeB and can not accurately predict and estimate the problem of each logic channel of the UE that dispatches the demand summation of transmission bandwidth, and then the service data transmission rate demand in UE future reasonably revised, distributing rational transfer resource for the transfer resource control module provides reference.

Preferably, step S220 specifically comprises: DM _{I, j}=HLBS _i* TEBS _i* (Pri _j+ 1)/16; Pri wherein _jBe the priority of logic channel j, value is from 0～16.

Preferably, step S230 specifically comprises: DM _{I, k}=(1-HLBS _i) * TEBS _i* (Pri _k+ 1)/16; Pri wherein _kBe the priority of logic channel k, value is from 0～15.

Preferably, step S240 specifically comprises: HDR _{I, j}(n)=W_1 * HDR _{I, j}(n-1)+(1-W_1) * CDR _{I, j}(n); Wherein, HDR is historical Mean Speed, and CDR is a present rate, and W_1 is the speed filtering factor, and value is from 0～1, and in order to embody up-to-date rate behavior in Mean Speed, W_1 is configured to 0.05.

Preferably, step S250 specifically comprises: BR _{I, j}=W_2 * W_3 * DM _{I, j}+ (1-W_2) * HDR _{I, j}Wherein W_2 is the weight coefficient of bandwidth request, and value is from 0～1, and in order to embody up-to-date UE bandwidth demand, W_2 is configured to 0.95; W_3 is the conversion factor of data volume to bandwidth, and value is from 0～1, and is relevant with TTI, if TTI=10ms, W_3 is configured to 0.01.

Preferably, step S260 specifically comprises: ${\mathrm{BR}}_j=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{\mathrm{BR}}_{i,j};$ Wherein N is the number of UE.

Fig. 3 shows the information flow chart between each functional module in the HSUPA system according to the preferred embodiment of the invention, may further comprise the steps:

Earlier by 302 couples of UE of NodeB scheduler ₁304 and UE ₂306 transmission bandwidth is estimated, reports transfer resource control module 308, again by the transmission bandwidth between transfer resource control module distribution RNC310 and the NodeB.

UE ₁And UE ₂2 logic channels 1 (312 and 314) and logic channel 2 (316 and 318) are respectively arranged, be mapped to MAC-dflow1 (320 and 322) and MAC-dflow2 (324 and 326) respectively, the priority of logic channel is respectively Pri1 and Pri2, wherein Pri1＞Pri2;

(1) according to the step S210 among Fig. 2, NodeB scheduler records UE ₁And UE ₂The situation of the professional buffering area that reports has comprised HLBS ₁And TEBS ₁, and HLBS ₁And TEBS ₁

(2) according to the step S220 among Fig. 2, the NodeB scheduler calculates UE respectively ₁And UE ₂The data volume of the corresponding MAC-dflow1 of the highest logic channel:

a)DM _1，1＝HLBS ₁×TEBS ₁×(Pri ₁+1)/16；

b)DM _2，1＝HLBS ₂×TEBS ₂×(Pri ₁+1)/16；

(3) according to the step S230 among Fig. 2, the NodeB scheduler calculates UE respectively ₁And UE ₂The data volume of the corresponding MAC-dflow2 of inferior high logic channel:

a)DM _1，2＝(1-HLBS ₁)×TEBS ₁×(Pri ₂+1)/16；

b)DM _2，2＝(1-HLBS ₂)×TEBS ₂×(Pri ₂+1)/16；

(4) according to the step S240 among Fig. 2, the NodeB scheduler calculates UE respectively ₁And UE ₂Each MAC-dflow historical data speed:

a)HDR _1，1(n)＝0.05×HDR _1，1(n-1)+(1-0.05)×CDR _1，1(n)；

b)HDR _1，2(n)＝0.05×HDR _1，2(n-1)+(1-0.05)×CDR _1，2(n)；

c)HDR _2，1(n)＝0.05×HDR _2，1(n-1)+(1-0.05)×CDR _2，1(n)；

d)HDR _2，2(n)＝0.05×HDR _2，2(n-1)+(1-0.05)×CDR _2，2(n)；

(5) according to the step S250 among Fig. 2, the NodeB scheduler calculates UE respectively ₁And UE ₂The weighting bandwidth request of each MAC-d:

a)BR _1，1＝0.95×0.01×DM _1，1+(1-0.95)×HDR _1，1；

b)BR _1，2＝0.95×0.01×DM _1，2+(1-0.95)×HDR _1，2；

c)BR _2，1＝0.95×0.01×DM _2，1+(1-0.95)×HDR _2，1；

d)BR _2，2＝0.95×0.01×DM _2，2+(1-0.95)×HDR _2，2；

(6) according to the step S260 among Fig. 2, the NodeB scheduler calculates the flow summation of MAC-dflow (1) and MAC-dflow (2):

a) ${\mathrm{BR}}_1=\underset{i=1}{\overset{2}{\mathrm{\Σ}}}{\mathrm{BR}}_{1,j};$

b) ${\mathrm{BR}}_2=\underset{i=1}{\overset{2}{\mathrm{\Σ}}}{\mathrm{BR}}_{2,j};$

(7) according to the step S270 among Fig. 2, the NodeB scheduler calculates the flow summation BR of MAC-dflow (1) and MAC-dflow (2) ₁And BR ₂Report the transfer resource control module.

The UE bandwidth demand Forecasting Methodology that is used for the HSUPA system of the preferred embodiment is because the schedule information of utilizing the UE of NodeB control to report, estimate the demand of UE current business data to transmission bandwidth, and in conjunction with the historical transmission rate of each business of the UE that is scheduled, solved the UE Resource Scheduler that is positioned at NodeB and can not accurately predict and estimate the problem of each logic channel of the UE that dispatches the demand summation of transmission bandwidth, and then the service data transmission rate demand in UE future reasonably revised, distributing rational transfer resource for the transfer resource control module provides reference.

Fig. 4 shows the block diagram according to the processing unit of the HSUPA upstream bandwidth prediction of the embodiment of the invention, comprising:

Parsing module 10 is used for receiving from each user equipment (UE) _iSI information, therefrom obtain the data volume HLBS of the highest priority logical channel buffering area of each subscriber equipment _i, total buffer data volume TEBS _i

Computing module 20 is used for according to HLBS _i, TEBS _iCalculate the weighting bandwidth request of MAC-d of each logic channel correspondence of each subscriber equipment; And

Summation module 30 is used for for each MAC-d, and with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand.

The UE bandwidth demand prediction unit that is used for the HSUPA system of this embodiment is because the schedule information of utilizing the UE of NodeB control to report, estimate the demand of UE current business data to transmission bandwidth, and in conjunction with the historical transmission rate of each business of the UE that is scheduled, solved the UE Resource Scheduler that is positioned at NodeB and can not accurately predict and estimate the problem of each logic channel of the UE that dispatches the demand summation of transmission bandwidth, and then the service data transmission rate demand in UE future reasonably revised, distributing rational transfer resource for the transfer resource control module provides reference.

Preferably, computing module specifically comprises: first module is used to be provided with DM _{I, j}=0, wherein j is the label of each logic channel; Unit second is used for according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}, h belongs to j; Unit the 3rd is used for according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}, k belongs to j; Unit the 4th is used to calculate UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n); Unit the 5th is used for according to DM _{I, j}And HDR _{I, j}(n) try to achieve the weighting bandwidth request.

The UE bandwidth demand Forecasting Methodology that is used for the HSUPA system of this embodiment and device are because the schedule information of utilizing the UE of NodeB control to report, estimate the demand of UE current business data to transmission bandwidth, and in conjunction with the historical transmission rate of each business of the UE that is scheduled, solved the UE Resource Scheduler that is positioned at NodeB and can not accurately predict and estimate the problem of each logic channel of the UE that dispatches the demand summation of transmission bandwidth, and then the service data transmission rate demand in UE future reasonably revised, distributing rational transfer resource for the transfer resource control module provides reference.

Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with the general calculation device, they can concentrate on the single calculation element, perhaps be distributed on the network that a plurality of calculation element forms, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in the storage device and carry out by calculation element, perhaps they are made into each integrated circuit modules respectively, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.

The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (8)

1. a subscriber equipment bandwidth demand Forecasting Methodology that is used for the HSUPA system is characterized in that, may further comprise the steps:

Reception is from each user equipment (UE) _iSI information, therefrom obtain the data volume HLBS of the highest priority logical channel buffering area of each described subscriber equipment _i, total buffer data volume TEBS _i

According to HLBS _i, TEBS _iCalculate the weighting bandwidth request of MAC-d of each logic channel correspondence of each subscriber equipment; And

For each MAC-d, with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand;

Wherein, according to HLBS _i, TEBS _iThe weighting bandwidth request of each MAC-d of calculating each logic channel correspondence of each subscriber equipment specifically comprises:

DM is set _{I, j}=0, wherein j is the label of each logic channel;

According to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}, h belongs to j;

According to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}, k belongs to j;

Calculate UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n);

According to DM _{I, j}And HDR _{I, j}(n) try to achieve described weighting bandwidth request.

2. subscriber equipment bandwidth demand Forecasting Methodology according to claim 1 is characterized in that, according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}Specifically comprise:

DM _{I, h}=HLBS _i* TEBS _i* (Pri _h+ 1)/M, wherein Pri _hThe priority of presentation logic channel h, the quantity of M presentation logic channel.

3. subscriber equipment bandwidth demand Forecasting Methodology according to claim 2 is characterized in that, according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}Specifically comprise:

DM _{I, k}=(1-HLBS _i) * TEBS _i* (Pri _k+ 1)/M, wherein Pri _kThe priority of presentation logic channel k, the quantity of M presentation logic channel.

4. subscriber equipment bandwidth demand Forecasting Methodology according to claim 3 is characterized in that, calculates UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n) specifically comprise:

HDR _{I, j}(n)=W_1 * HDR _{I, j}(n-1)+(1-W_1) * CDR _{I, j}(n); Wherein, HDR is historical Mean Speed, and CDR is a present rate, and W_1 is the speed filtering factor, and value is from 0～1, and in order to embody up-to-date rate behavior in Mean Speed, W_1 is configured to 0.05, and j is the label of each logic channel.

5. subscriber equipment bandwidth demand Forecasting Methodology according to claim 4 is characterized in that, according to DM _{I, j}And HDR _{I, j}(n) trying to achieve described weighting bandwidth request specifically comprises:

Described weighting bandwidth request: BR _{I, j}=W_2 * W_3 * DM _{I, j}+ (1-W_2) * HDR _{I, j}Wherein W_2 is the weight coefficient of bandwidth request, and value is from 0～1, and W_3 is the conversion factor of data volume to bandwidth, and value is from 0～1.

6. subscriber equipment bandwidth demand Forecasting Methodology according to claim 5 is characterized in that W_2 is configured to 0.95; TTI=10ms, W_3 is configured to 0.01.

7. subscriber equipment bandwidth demand Forecasting Methodology according to claim 5, it is characterized in that, for the MAC-d of each logic channel correspondence, with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand and specifically comprises:

The total flow demand

8. a subscriber equipment bandwidth demand prediction unit that is used for the HSUPA system is characterized in that, comprising:

Parsing module is used for receiving from each user equipment (UE) _iSI information, therefrom obtain the data volume HLBS of the highest priority logical channel buffering area of each described subscriber equipment _i, total buffer data volume TEBS _i

Computing module is used for according to HLBS _i, TEBS _iCalculate the weighting bandwidth request of MAC-d of each logic channel correspondence of each subscriber equipment; And

Summation module is used for for each MAC-d, and with the weighting bandwidth request summation of each subscriber equipment, the total flow demand that obtains this MAC-d is used for the prediction of subscriber equipment bandwidth demand;

Wherein, described computing module specifically comprises:

First module is used to be provided with DM _{I, j}=0, wherein j is the label of each logic channel;

Unit second is used for according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel h of buffering area correspondence of the logic channel h with limit priority _{I, h}, h belongs to j;

Unit the 3rd is used for according to data volume HLBS _iWith data volume TEBS _iTry to achieve UE _iThe data volume DM of logic channel k of buffering area correspondence of the logic channel k with inferior high priority _{I, k}, k belongs to j;

Unit the 4th is used to calculate UE _iJ logic channel correspondence at n historical filtering Mean Speed HDR constantly _{I, j}(n);

Unit the 5th is used for according to DM _{I, j}And HDR _{I, j}(n) try to achieve described weighting bandwidth request.

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