CN101958828A - Service multiplex processing method and device - Google Patents

Service multiplex processing method and device Download PDF

Info

Publication number
CN101958828A
CN101958828A CN2009101403672A CN200910140367A CN101958828A CN 101958828 A CN101958828 A CN 101958828A CN 2009101403672 A CN2009101403672 A CN 2009101403672A CN 200910140367 A CN200910140367 A CN 200910140367A CN 101958828 A CN101958828 A CN 101958828A
Authority
CN
China
Prior art keywords
business stream
stream
integration processing
packet loss
service integration
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.)
Granted
Application number
CN2009101403672A
Other languages
Chinese (zh)
Other versions
CN101958828B (en
Inventor
王晓利
张永生
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NTT Docomo Inc
Original Assignee
NTT Docomo Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by NTT Docomo Inc filed Critical NTT Docomo Inc
Priority to CN200910140367.2A priority Critical patent/CN101958828B/en
Priority to JP2010161872A priority patent/JP5564350B2/en
Publication of CN101958828A publication Critical patent/CN101958828A/en
Application granted granted Critical
Publication of CN101958828B publication Critical patent/CN101958828B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention provides a service multiplex processing method and a device. The method of the invention comprises the following steps: acquiring transmission features of a first service flow which is a service flow with the first feature in the current multiplex transmission; calculating the variance of the first service flow according to the recorded transmission features of the first service flow; when the new service flow with the first feature is added, using the variance sigma 2 as the variance of the second service flow for acquiring the packet loss rate expression of the second service flow which is the service flow for multiplex transmission after the new service flow is added to the first service flow; and carrying out resource allocation or access control on the new service flow according to the packet loss rate expression. The invention reduces the difficulty in realizing multiplex resource allocation or access control, and can acquire multiplexing gain while ensuring QoS.

Description

A kind of service integration processing method and device
Technical field
The present invention relates to communication, Internet technical field, particularly a kind of service integration processing method and device.
Background technology
In the communication system, how to give the traffic assignments resource is a very important problem.When carrying out resource allocation, should guarantee professional QoS (Quality of Service, service quality) requirement, make the systematic cost minimum of paying again.No matter be to cable network or wireless network, systematic cost mainly comprises following two aspects: link bandwidth and buffer pool size.For wireless network, link bandwidth is just more important comparatively speaking.
The Mean Speed of supposing single video traffic is 320kbps, and qos requirement is as follows: 90% packet is not transmitted time delay, supposes to satisfy above-mentioned requirements, and the link bandwidth of requirement (service speed of link just) should be more than or equal to 340kbps.
But when three independently the Mean Speed video traffic that is 320kbps mixed transmission, because business is independent separately, when certain is professional when arriving peak rate, other business may be in the low ebb of data rate.Therefore, make when three independently the Mean Speed video stream traffic that is 320kbps mixes transmission, the variation of total data rate just tends to be steady, under the situation of qos requirement identical (90% packet is not transmitted time delay), the service speed of link is that 1000Kbps can meet the demands.This service speed is less than 340 * 3=1020kbps, thereby brought spatial multiplexing gain.This spatial multiplexing gain is calculated as follows: (1020-1000)/1020 ≈ 2%.
Above-mentioned is that example is illustrated with the video traffic, but should be appreciated that, equally also there is spatial multiplexing gain in the mix of traffic of other types when transmitting.
Simultaneously, describe, in present specification, the two or more Business Streams that mix transmission are called multiplexing service stream for convenient.
From top description as can be seen, when giving multiplexing service flow distribution link circuit resource, must consider spatial multiplexing gain.This resource allocation problem is an optimization problem, and the target of finding the solution this optimization problem is exactly to satisfy under the situation that packet loss requires (qos requirement), and the link bandwidth sum that makes all business need altogether is minimum.
Certainly, consider from another point of view, can think that also this target is: under the situation that satisfies the requirement of packet loss requirement (qos requirement) and link bandwidth, the number maximum of the Business Stream that makes it possible to insert.
Yet, for any situation, how to obtain the key that packet loss all is a problem, and the packet loss of multiplex stream is relevant with following factor: the bandwidth of service feature, number of services, link and the capacity of buffering area etc.
Comprise approximate method in the existing method of obtaining packet loss, be described below based on Brownian bridge.
In the approximate method based on Brownian bridge, make B (t) expression Brownian movement, its average is EB (t)=μ t, and variance is VarB (t)=σ 2T, if Business Stream satisfies the feature of Brownian bridge, its probability-distribution function just can clearly obtain so.
For any one Business Stream,, so, then can adopt the approximate method of Brownian bridge, μ that obtains being similar to and σ if feature does not satisfy Brownian bridge 2, and then obtain the expression formula of the drop probabilities L of the current multiplexing service of drop probabilities stream:
L(B,C,N)=exp(-2B(B+C-Nμ)/Nσ 2)
Wherein, B is a buffer size of distributing to current multiplexing service stream, and C is a link bandwidth of distributing to current multiplexing service stream, and N is a Business Stream number in the current multiplexing service stream, and μ is the data transfer rate average of current multiplexing service stream, σ 2Data transfer rate variance for current multiplexing service stream.
After obtaining above-mentioned L, can carry out resource allocation and access control.
Yet the inventor finds that in the process that realizes the embodiment of the invention there is following shortcoming at least in above-mentioned method with the approximate information source of Brownian bridge:
Though with respect to simpler with the method for semi-Markov modeling information source for, still need obtain the information source feature of complexity with the method for the approximate information source of Brownian bridge.And, also comprise other complex features more, as state transition probability, state time of staying or the like because the information source feature not only comprises average, these simple features of peak rate.And in real system, it almost is infeasible obtaining accurate information source feature.Therefore, the method with the approximate information source of Brownian bridge can't be applicable to complicated business stream.
Summary of the invention
The purpose of this invention is to provide a kind of service integration processing method and device, reduce the realization difficulty of multiplexed resource distribution or access control.
To achieve these goals, the embodiment of the invention provides a kind of service integration processing method, comprising:
Obtain the transmission feature of first Business Stream, described first Business Stream is the Business Stream with first feature of current multiplexing transmission;
Calculate the variances sigma of first Business Stream according to the transmission feature of described first Business Stream of above-mentioned record 2
Add fashionablely at new Business Stream, use described variances sigma with described first feature 2Obtain the packet loss expression formula of described second Business Stream as the variance of second Business Stream, described second Business Stream is the Business Stream that adds the multiplexing transmission that forms behind the described new Business Stream in described first Business Stream;
According to described packet loss expression formula described new Business Stream is carried out resource allocation or access control.
Above-mentioned service integration processing method, wherein, the transmission feature of described first Business Stream comprises:
The packet loss L of described first Business Stream i, described first Business Stream data transfer rate average μ, distribute to the link bandwidth C of described first Business Stream i, distribute to the buffer size B of first Business Stream iNumber i with the described first Business Stream neutron Business Stream.
Above-mentioned service integration processing method, wherein, the variance of described first Business Stream is-2B i(B i+ C i-i μ)/(ilogL i).
Above-mentioned service integration processing method, wherein, described B iSmaller or equal to described C iWith the product of D, described D is the maximum queuing delay of the described first Business Stream requirement.
Above-mentioned service integration processing method, wherein, the packet loss expression formula of described second Business Stream is as follows:
exp(-2B i+l(B i+l+C i+l-(i+l)μ)/((i+l)σ 2)))
Wherein, C I+lThe link bandwidth of described second Business Stream, B are distributed in expression I+lThe buffer size of described second Business Stream, B are distributed in expression I+lSmaller or equal to described C I+lWith the product of D, μ is the data transfer rate average of described second Business Stream, σ 2It is the variance of first Business Stream.
To achieve these goals, the embodiment of the invention also provides a kind of service integration processing unit, comprising:
The feature acquisition module is used to obtain the transmission feature of first Business Stream, and described first Business Stream is the Business Stream with first feature of current multiplexing transmission;
The variance computing module is used for calculating according to the transmission feature of described first Business Stream of above-mentioned record the variance of described first Business Stream;
The packet loss acquisition module is used for adding at the new Business Stream with first feature fashionable, uses variances sigma 2Obtain the packet loss expression formula of described second Business Stream as the variance of second Business Stream, described second Business Stream is the Business Stream that adds the multiplexing transmission that forms behind the described new Business Stream in described first Business Stream;
Service Processing Module is used for according to described packet loss expression formula described new Business Stream being carried out resource allocation or access control.
Above-mentioned service integration processing unit, wherein, the transmission feature of described first Business Stream comprises:
The packet loss L of described first Business Stream i, described first Business Stream data transfer rate average μ, distribute to the link bandwidth C of described first Business Stream i, distribute to the buffer size B of first Business Stream iNumber i with the described first Business Stream neutron Business Stream.
Above-mentioned service integration processing unit, wherein, the variance of described first Business Stream is-2B i(B i+ C i-i μ)/(ilogL i).
Above-mentioned service integration processing unit, wherein, described B iSmaller or equal to described C iWith the product of D, described D is the maximum queuing delay of the described first Business Stream requirement.
Above-mentioned service integration processing unit, wherein, the packet loss expression formula of described second Business Stream is as follows:
exp(-2B i+l(B i+l+C i+l-(i+l)μ)/((i+l)σ 2)))
Wherein, C I+lThe link bandwidth of described second Business Stream, B are distributed in expression I+lThe buffer size of described second Business Stream, B are distributed in expression I+lSmaller or equal to described C I+lWith the product of D, μ is the data transfer rate average of described second Business Stream.
To achieve these goals, the embodiment of the invention also provides a kind of service integration processing method, is used for Long Term Evolution LTE system, comprising:
The eMB-SC of multicast and broadcast service centre of evolution is the multiplex stream Resources allocation, comprises the MBMS of the multimedia broadcast multicast system Business Stream that block error rate BLER is different in the described multiplex stream;
It is the resource that multiplex stream is distributed that described eMB-SC notifies many sub-districts/multicast cooperation entity MCE by gateway;
Described MCE is after knowing that described eBM-SC is the resource of multiplex stream distribution, with described eBM-SC is that the resource that multiplex stream is distributed becomes corresponding M BSFN number of sub-frames, and send semi-static schedule information all evolution base station eNB to MCE subordinate, wherein comprise in this semi-persistent scheduling information: the modulating-coding type that the sending order of the subframe index of MBSFN, described MBMS Business Stream, the ID of each described MBMS Business Stream and each described MBMS Business Stream adopt;
ENB carries out described multiplex stream transmission according to semi-persistent scheduling information, and with dynamic scheduling information notifying MBMS user, described dynamic scheduling information comprises: the information of the subframe at described MBMS Business Stream place.
Above-mentioned service integration processing method, wherein, the MBMS Business Stream that the modulating-coding type is identical sends with adjacent order.
Above-mentioned service integration processing method, wherein, it is the resource that multiplex stream is distributed that described eBM-SC begins the described MCE of message informing by session.
Above-mentioned service integration processing method, wherein, described eMB-SC comprises the steps: for the multiplex stream Resources allocation
Obtain the transmission feature of first Business Stream, described first Business Stream is the Business Stream with first feature of current multiplexing transmission;
Calculate the variances sigma of described first Business Stream according to the transmission feature of described first Business Stream of above-mentioned record 2
Add fashionablely at new Business Stream, use described variances sigma with described first feature 2Obtain the packet loss expression formula of described second Business Stream as the variance of second Business Stream, described second Business Stream is the Business Stream that adds the multiplexing transmission that forms behind the described new Business Stream in described first Business Stream;
According to described packet loss expression formula described new Business Stream is carried out resource allocation.
Above-mentioned service integration processing method, wherein, the packet loss L of described first Business Stream i, described first Business Stream data transfer rate average μ, distribute to the link bandwidth C of described first Business Stream i, distribute to the buffer size B of first Business Stream iNumber i with the described first Business Stream neutron Business Stream.
Above-mentioned service integration processing method, wherein, the variance of described first Business Stream is-2B i(B i+ C i-i μ)/(ilogL i).
Above-mentioned service integration processing method, wherein, described B iSmaller or equal to described C iWith the product of D, described D is the maximum queuing delay of the described first Business Stream requirement.
Above-mentioned service integration processing method, wherein, the packet loss expression formula of described second Business Stream is as follows:
exp(-2B i+l(B i+l+C i+l-(i+l)μ)/((i+l)σ 2)))
Wherein, C I+lThe link bandwidth of described second Business Stream, B are distributed in expression I+lThe buffer size of described second Business Stream, B are distributed in expression I+lSmaller or equal to described C I+lWith the product of D, μ is the data transfer rate average of described second Business Stream.
The embodiment of the invention has following beneficial effect:
In the method and apparatus of the embodiment of the invention, at first obtain the variance of the Business Stream with first feature of current multiplexing transmission according to the transmission feature of the Business Stream that writes down current multiplexing transmission with first feature, there is being new new service flow to add fashionable with same characteristic features, consider the change characteristic slowly of transfer rate variance, directly will before the variance calculated as the variance that adds the Business Stream behind the new Business Stream, and utilize this variance to calculate to add the packet loss of the Business Stream behind the new Business Stream, and then carry out resource allocation or access control, therefore, avoid to obtain because complicated information source feature can't be obtained in the prior art technical problem of packet loss expression formula, reduced the realization difficulty of multiplexed resource distribution or access control.
Simultaneously,, also can find the method and apparatus of the embodiment of the invention, even when the multiplex stream number is big, also can in guaranteed qos, obtain spatial multiplexing gain by concrete emulation.
Description of drawings
Fig. 1 is the schematic flow sheet of the method for the embodiment of the invention;
Fig. 2 is the detailed process schematic diagram of the method for the embodiment of the invention;
Fig. 3-Fig. 4 is the simulation result figure of the method for the embodiment of the invention.
Embodiment
The above-mentioned utilization in the calculation expression that the Brownian bridge method obtains packet loss only need obtain the data transfer rate average μ and the data transfer rate variances sigma of Business Stream 2Behind these two variablees, can utilize this packet loss to carry out resource allocation and access control.
For video flowing,, just can obtain the data transfer rate average of this stream, but the data transfer rate variance of Business Stream just is not easy to have obtained as long as coded system has defined.For fear of statistical variance, the embodiment of the invention has proposed to infer by the record present packet loss method of variance.
As shown in Figure 1, the method for the embodiment of the invention comprises:
Step 11 is obtained the transmission feature of first Business Stream, comprising: the first packet loss L of first Business Stream i, the data transfer rate average μ of the Business Stream of current multiplexing transmission i, distribute to the link bandwidth C of first Business Stream i, distribute to the buffer size B of first Business Stream iDescribed first Business Stream is the Business Stream with first feature of current multiplexing transmission; Wherein i is the number of the Business Stream neutron Business Stream with first feature of current multiplexing transmission;
Above-mentioned B iNot only relevant, also relevant with professional delay requirement with the buffer size of real system.If this business need queuing delay is less than D Max, all overtime packets all will be dropped so, then in this case, and B i≤ C iD Max
Step 12 is calculated the variances sigma of described first Business Stream according to the transmission feature of described first Business Stream of above-mentioned record 2, as follows:
σ 2=-2B i(B i+C i-iμ)/(ilogL i)
Step 13 adds fashionablely at the new Business Stream with described first feature, consider the change characteristic slowly that variance changes, and directly uses described variances sigma 2Obtain the second packet loss L of second Business Stream I+l, as follows:
L i+l=exp(-2B i+l(B i+l+C i+l-(i+l)μ)/((i+l)σ 2)))
Wherein, second Business Stream is for adding the Business Stream of the multiplexing transmission behind the described new Business Stream, C I+lFor distributing to the link bandwidth of described second Business Stream, B I+lFor distributing to the buffer size of described second Business Stream, B I+l≤ C I+lD Max, certainly, in actual process, it is set to C I+lD MaxGet final product.
Because new Business Stream has identical feature with the Business Stream in first Business Stream, so its average is identical.
Step 14 is according to L I+lCarry out resource allocation or access control.
Be described below respectively with regard to resource allocation and access control below.
When carrying out resource allocation, calculate the C of the minimum that makes that following condition is set up exactly I+l:
exp(-2B i+l(B i+l+C i+l-(i+l)μ)/((i+l)σ 2)))≤δ
B i+l≤C i+lD max
For finding the solution of above-mentioned mathematical problem, quite ripe algorithm has been arranged, be not described in detail at this.
And for the access control problem, judge exactly, satisfy packet loss requirement situation, and under current bandwidth restriction and buffer limits, can hold the business of newly coming in, just with the C in the following formula I+lThe total link bandwidth C that the system of being set to can provide, B I+lAfter the total buffer size B that the system of being set to can provide, judge whether following condition is set up:
exp(-2B(B+C-(i+l)μ)/((i+l)σ 2)))≤δ
B≤CD max
In the real system, the buffer size of forwarding unit has not been the bottleneck that influences system performance, so B mainly is subjected to the constraint of maximum queuing delay, and therefore, above-mentioned condition just changes into judges whether following formula is set up:
exp(-2CD max(CD max+C-(i+l)μ)/((i+l)σ 2)))≤δ
If set up, then expression can be admitted new Business Stream, otherwise can not admit new Business Stream.
Above-described method is applicable to that average is known, the variance condition of unknown.
If average and variance do not know that all the packet loss that write down under preceding two kinds of Business Stream number situations this moment gets final product, i.e. L I-lAnd L i.Find the solution data transfer rate average μ and data transfer rate variances sigma by following equation group then 2
The more detailed flow process that said method is carried out resource allocation is described below below.
As shown in Figure 2, comprising:
Whether step 21 has new Business Stream to be transmitted to add, if enter step 22, otherwise continues to wait for;
Step 22 is judged the current Business Stream transmission that whether exists, if enter step 25, otherwise enters step 23;
Step 23 according to existing method, for single Business Stream carries out resource allocation, enters step 24;
Step 24, the packet loss when preserving the transmission of single Business Stream returns step 21;
Step 25, the packet loss that once writes down before obtaining, and according to this packet loss calculating variances sigma 2
Step 26 is with this variances sigma 2Join the variance of the Business Stream (called after second Business Stream) that obtains after the current business flow as described new Business Stream to be transmitted, obtain the packet loss expression formula of second Business Stream;
Step 27 is that described second Business Stream carries out resource allocation according to this packet loss expression formula;
Step 28 writes down the packet loss in the second Business Stream transmission course, returns step 21.
Above-mentioned detailed process also is the explanation of carrying out with the known situation of average, for the unknown this situation of average, first and second Business Stream add fashionable, all according to existing method, for single Business Stream carries out resource allocation, and write down packet loss respectively, add fashionablely at the 3rd Business Stream, then can calculate variance and average (two unknown numbers, two equations according to two packet loss that write down previously, can find the solution), obtain packet loss then, and then carry out resource allocation or access control, obtain after this variance, the resource allocation of the Business Stream that adds later and access control are exactly the process of a circulation, do not describe in detail one by one at this.
The method of the embodiment of the invention is moved on the entity that carries out resource allocation or access control.For instance, at MBMS (Multimedia Broadcast Multicast System, multi-medium multi-packet broadcasting broadcasting) in the system, this entity may be MCE (Multi-cell/multicast Coordination Entity, many sub-districts/multicast cooperation entity), also may be BMSC (Broadcast-Multicast Service Center, multicast and broadcast service centre).In WLAN (WLAN (wireless local area network)), this entity may be WAP (wireless access point) (AP).On Internet, this entity may be a router.
It should be noted that how to obtain current packet loss situation, multiple means can be arranged, as described below:
Entity oneself carries out record.Because this entity is known the data of the Business Stream that enters, also know the resource of distribution, therefore can note the situation of packet loss.
By other entity records, send this entity then to.This situation is applicable to the situation of the entity separation of resource allocation entity and real transmission packet.Such as in MBMS (multi-medium multi-packet broadcasting broadcasting) system, resource allocation entity is MCE, but the entity of really giving out a contract for a project is on e-NodeB.So just need e-NodeB to note packet drop, and then feed back to MCE.
In order to embody the effect of the embodiment of the invention, carried out emulation, simulation parameter is as shown in the table.
Under above-mentioned simulated conditions, the packet loss that more different below resource allocation methods causes.At this, the qos requirement of setting video flowing is that maximum queuing delay is 320ms, and packet loss is less than 10 -3Packet loss mainly is to cause owing to queuing delay is long.
As shown in Figure 3, abscissa is the multiplex stream number among Fig. 3, ordinate is a packet loss, except the method with ON-OFF model modeling video flowing, additive method can satisfy the requirement of packet loss basically, still, when the multiplex stream number is big, Markov modeling and Brownian bridge are approximate, have all surpassed the packet loss of setting, and utilize the method (corresponding to the curve that has solid dot among Fig. 3) of the embodiment of the invention still can satisfy the requirement of packet loss.
Under above-mentioned simulated conditions, the spatial multiplexing gain of more different resource allocation methods below, as shown in Figure 4, abscissa is the multiplex stream number among Fig. 4, and ordinate is a spatial multiplexing gain, and spatial multiplexing gain is defined as follows:
(GBR×N-ABBR)/GBR×N
Wherein, N is the number of multiplex stream, and GBR is satisfying under the qos requirement, gives the resource of single traffic flow assignment.ABBR is satisfying under the identical qos requirement, and the resource that multiplex stream is distributed is tied.
As shown in Figure 4, when the multiplex stream number was big, the method for the embodiment of the invention (corresponding to the curve of the top among Fig. 4) can obtain very significantly spatial multiplexing gain advantage.
Statistic multiplexing method in a kind of LTE of being applied to (Long Term Evolution, Long Term Evolution) system also is provided in the embodiment of the invention, comprises:
EBM-SC (the multicast and broadcast service centre of evolution) is the multiplex stream Resources allocation, wherein comprises the MBMS Business Stream that block error rate BLER is different in this multiplex stream;
EBM-SC is the resource that multiplex stream is distributed by gateway Gateway notice MCE;
MCE is after knowing that eBM-SC is the resource of multiplex stream distribution, with eBM-SC is that the resource that multiplex stream is distributed becomes corresponding M BSFN (Multicast/Broadcast Single FrequencyNetwork, Multicast Broadcast Single Frequency Network) number of sub-frames, and send semi-static schedule information all evolution base station eNB to MCE subordinate, wherein comprise in this semi-persistent scheduling information:
The subframe index of MBSFN;
The sending order of MBMS Business Stream; And
The modulating-coding type of the ID of each MBMS Business Stream and employing.
Top semi-persistent scheduling information, comprised the required MBSFN number of sub-frames of all MBMS Business Streams, and the sending order of these Business Streams and modulating-coding type, and the modulating-coding type is by the error rate BLER requirement decision of MBMS Business Stream, the sending order of Business Stream then must be considered the modulating-coding type, should allow the identical Business Stream of modulating-coding type, send with adjacent order;
After eNB receives semi-persistent scheduling information, the MBMS Business Stream is sent to MBMS user, and with a dynamic scheduling information notifying MBMS user, this dynamic scheduling information comprises: the information of the subframe at the professional place of MBMS makes the user receive the MBMS business datum from the subframe of correspondence.
Under situation about determining in semi-persistent scheduling information, how eNB sends to MBMS user with the MBMS Business Stream, and with a dynamic scheduling information notifying MBMS user, has carried out detailed regulation in related specifications, is not described in detail at this.
Mention above, eBM-SC need be the resource that multiplex stream is distributed by gateway Gateway notice MCE, in specific embodiments of the invention, wherein, eBM-SC (the multicast and broadcast service centre of evolution) represents with ABBR (Aggregated Bundle Bit Rate) for the resource that multiplex stream is distributed, and beginning message informing MCE by session is that the process of the multiplex stream resource of distributing is as described below.
Suppose when Business Stream 1 begins to transmit that eBM-SC sends a session and begins message, and is as follows:
Session?Start(TMGI=1,ABBR=300kbps)
Wherein, TMGI (Temporary Mobile Group Identity, Temporary Mobile Group Identity) is the ID that is used to distinguish the MBMS Business Stream;
Subsequently, Business Stream 2 begins transmission, and eBM-SC sends a session and begins message, and is as follows:
Session?Start(TMGI=1,TMGI=2,ABBR=400kbps)
Subsequently, Business Stream n begins transmission, and eBM-SC sends a session and begins message:
Session?Start(TMGI=1,TMGI=2,...,TMGI=n,ABBR=4000kbps)
Begin message by this session, it is the resource that multiplex stream is distributed that MCE can obtain eBM-SC, and carries out subsequent process.
In the prior art, included MBMS Business Stream all needs to have identical BLER (referring to R3-091300ABBR based statistical multiplexing solution for eMBMS and R3-091301 Service multiplexing and signaling for eMBMS) in the multiplex stream, but the technical scheme of prior art has following shortcoming:
Because included MBMS Business Stream all has identical BLER in the multiplex stream, therefore, the Business Stream of different B LER can't multiplexing transmission, under the certain situation of Business Stream number waiting for transmission, the number of Business Stream is all less than Business Stream number waiting for transmission in each multiplex stream, and the multiplexing spatial multiplexing gain that can bring, therefore, the method for prior art can't make spatial multiplexing gain maximize.
And utilize the method for the embodiment of the invention, the MBMS Business Stream that BLER is different can be multiplexed into transmission together, the number of Business Stream can equal Business Stream number waiting for transmission in the multiplex stream, and the number of Business Stream is many more in the multiplex stream, the spatial multiplexing gain that can bring is big more, therefore, with respect to prior art, the method for the embodiment of the invention can make spatial multiplexing gain maximize.
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 (20)

1. a service integration processing method is characterized in that, comprising:
Obtain the transmission feature of first Business Stream, described first Business Stream is the Business Stream with first feature of current multiplexing transmission;
Calculate the variances sigma of described first Business Stream according to the transmission feature of described first Business Stream of above-mentioned record 2
Add fashionablely at new Business Stream, use described variances sigma with described first feature 2Obtain the packet loss expression formula of described second Business Stream as the variance of second Business Stream, described second Business Stream is the Business Stream that adds the multiplexing transmission that forms behind the described new Business Stream in described first Business Stream;
According to described packet loss expression formula described new Business Stream is carried out resource allocation or access control.
2. service integration processing method according to claim 1 is characterized in that, the transmission feature of described first Business Stream comprises:
The packet loss L of described first Business Stream i, described first Business Stream data transfer rate average μ, distribute to the link bandwidth C of described first Business Stream i, distribute to the buffer size B of first Business Stream iNumber i with the described first Business Stream neutron Business Stream.
3. service integration processing method according to claim 2 is characterized in that the variance of described first Business Stream is-2B i(B i+ C i-i μ)/(ilogL i).
4. according to claim 2 or 3 described service integration processing methods, it is characterized in that described B iSmaller or equal to described C iWith the product of D, described D is the maximum queuing delay of the described first Business Stream requirement.
5. service integration processing method according to claim 2 is characterized in that, the packet loss expression formula of described second Business Stream is as follows:
exp(-2B i+l(B i+l+C i+l-(i+l)μ)/((i+l)σ 2)))
Wherein, C I+lThe link bandwidth of described second Business Stream, B are distributed in expression I+lThe buffer size of described second Business Stream, B are distributed in expression I+lSmaller or equal to described C I+lWith the product of D, μ is the data transfer rate average of described second Business Stream.
6. according to claim 1,2 or 3 described service integration processing methods, it is characterized in that described data transfer rate average is determined according to coded system.
7. a service integration processing unit is characterized in that, comprising:
The feature acquisition module is used to obtain the transmission feature of first Business Stream, and described first Business Stream is the Business Stream with first feature of current multiplexing transmission;
The variance computing module is used for calculating according to the transmission feature of described first Business Stream of above-mentioned record the variances sigma of described first Business Stream 2
The packet loss acquisition module is used for adding at the new Business Stream with described first feature fashionable, uses described variances sigma 2Obtain the packet loss expression formula of described second Business Stream as the variance of second Business Stream, described second Business Stream is the Business Stream that adds the multiplexing transmission that forms behind the described new Business Stream in described first Business Stream;
Service Processing Module is used for according to described packet loss expression formula described new Business Stream being carried out resource allocation or access control.
8. service integration processing unit according to claim 7 is characterized in that, the transmission feature of described first Business Stream comprises:
The packet loss L of described first Business Stream i, described first Business Stream data transfer rate average μ, distribute to the link bandwidth C of described first Business Stream i, distribute to the buffer size B of first Business Stream iNumber i with the described first Business Stream neutron Business Stream.
9. service integration processing unit according to claim 8 is characterized in that the variance of described first Business Stream is-2B i(B i+ C i-i μ)/(ilogL i).
10. according to Claim 8 or 9 described service integration processing unit, it is characterized in that described B iSmaller or equal to described C iWith the product of D, described D is the maximum queuing delay of the described first Business Stream requirement.
11. service integration processing unit according to claim 8 is characterized in that, the packet loss expression formula of described second Business Stream is as follows:
exp(-2B i+l(B i+l+C i+l-(i+l)μ)/((i+l)σ 2)))
Wherein, C I+lThe link bandwidth of described second Business Stream, B are distributed in expression I+lThe buffer size of described second Business Stream, B are distributed in expression I+lSmaller or equal to described C I+lWith the product of D, μ is the data transfer rate average of described second Business Stream.
12., it is characterized in that described data transfer rate average is determined according to coded system according to claim 7,8 or 9 described service integration processing unit.
13. a service integration processing method is used for Long Term Evolution LTE system, it is characterized in that, comprising:
The eMB-SC of multicast and broadcast service centre of evolution is the multiplex stream Resources allocation, comprises the MBMS of the multimedia broadcast multicast system Business Stream that block error rate BLER is different in the described multiplex stream;
It is the resource that multiplex stream is distributed that described eMB-SC notifies many sub-districts/multicast cooperation entity MCE by gateway;
Described MCE is after knowing that described eBM-SC is the resource of multiplex stream distribution, with described eBM-SC is that the resource that multiplex stream is distributed becomes corresponding M BSFN number of sub-frames, and send semi-static schedule information all evolution base station eNB to MCE subordinate, wherein comprise in this semi-persistent scheduling information: the modulating-coding type that the sending order of the subframe index of MBSFN, described MBMS Business Stream, the ID of each described MBMS Business Stream and each described MBMS Business Stream adopt;
ENB carries out described multiplex stream transmission according to semi-persistent scheduling information, and with dynamic scheduling information notifying MBMS user, described dynamic scheduling information comprises: the information of the subframe at described MBMS Business Stream place.
14. service integration processing method according to claim 13 is characterized in that, the MBMS Business Stream that the modulating-coding type is identical sends with adjacent order.
15. service integration processing method according to claim 13 is characterized in that, it is the resource that multiplex stream is distributed that described eBM-SC begins the described MCE of message informing by session.
16., it is characterized in that described eMB-SC comprises the steps: for the multiplex stream Resources allocation according to claim 13,14 or 15 described service integration processing methods
Obtain the transmission feature of first Business Stream, described first Business Stream is the Business Stream with first feature of current multiplexing transmission;
Calculate the variances sigma of described first Business Stream according to the transmission feature of described first Business Stream of above-mentioned record 2
Add fashionablely at new Business Stream, use described variances sigma with described first feature 2Obtain the packet loss expression formula of described second Business Stream as the variance of second Business Stream, described second Business Stream is the Business Stream that adds the multiplexing transmission that forms behind the described new Business Stream in described first Business Stream;
According to described packet loss expression formula described new Business Stream is carried out resource allocation.
17. service integration processing method according to claim 16 is characterized in that, the packet loss L of described first Business Stream i, described first Business Stream data transfer rate average μ, distribute to the link bandwidth C of described first Business Stream i, distribute to the buffer size B of first Business Stream iNumber i with the described first Business Stream neutron Business Stream.
18. service integration processing method according to claim 17 is characterized in that the variance of described first Business Stream is-2B i(B i+ C i-i μ)/(ilogL i).
19. service integration processing method according to claim 18 is characterized in that, described B iSmaller or equal to described C iWith the product of D, described D is the maximum queuing delay of the described first Business Stream requirement.
20. service integration processing method according to claim 19 is characterized in that, the packet loss expression formula of described second Business Stream is as follows:
exp(-2B i+l(B i+l+C i+l-(i+l)μ)/((i+l)σ 2)))
Wherein, C I+lThe link bandwidth of described second Business Stream, B are distributed in expression I+lThe buffer size of described second Business Stream, B are distributed in expression I+lSmaller or equal to described C I+lWith the product of D, μ is the data transfer rate average of described second Business Stream.
CN200910140367.2A 2009-07-17 2009-07-17 Service multiplex processing method and device Expired - Fee Related CN101958828B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN200910140367.2A CN101958828B (en) 2009-07-17 2009-07-17 Service multiplex processing method and device
JP2010161872A JP5564350B2 (en) 2009-07-17 2010-07-16 Service multiplexing processing method and apparatus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN200910140367.2A CN101958828B (en) 2009-07-17 2009-07-17 Service multiplex processing method and device

Publications (2)

Publication Number Publication Date
CN101958828A true CN101958828A (en) 2011-01-26
CN101958828B CN101958828B (en) 2014-12-03

Family

ID=43485947

Family Applications (1)

Application Number Title Priority Date Filing Date
CN200910140367.2A Expired - Fee Related CN101958828B (en) 2009-07-17 2009-07-17 Service multiplex processing method and device

Country Status (2)

Country Link
JP (1) JP5564350B2 (en)
CN (1) CN101958828B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120300688A1 (en) * 2011-05-27 2012-11-29 Gholmieh Ralph A Group id and qos group identification for stream multiplexing in multicast and broadcast systems
CN108696455A (en) * 2017-04-11 2018-10-23 华为技术有限公司 Method and device for processing service flow

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2466948A1 (en) * 2009-08-11 2012-06-20 Alcatel Lucent Method for trimming traffic in e-mbms system and bm-sc for implementing method
WO2011017821A1 (en) * 2009-08-11 2011-02-17 上海贝尔股份有限公司 Evolved multimedia broadcast multicast service system and method for performing statistical multiplexing for services with different quality of service class identifiers

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050163103A1 (en) * 2002-03-13 2005-07-28 Telefonakiebolaget Lm Ericsson (Publ) Connection admission control in packet-oriented, multi-service networks
CN101212389A (en) * 2006-12-30 2008-07-02 华为技术有限公司 Outburst convergence control method, device, and communication device
CN101448236A (en) * 2008-12-24 2009-06-03 中国科学技术大学 Service model-based network charging system

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04178044A (en) * 1990-11-13 1992-06-25 Fujitsu Ltd Traffic control system in atm exchange
JP3312716B2 (en) * 1995-11-22 2002-08-12 日本電信電話株式会社 ATM call admission control method
US7146425B2 (en) * 2000-12-22 2006-12-05 Matsushita Electric Industrial Co., Ltd. Measurement-based admission control utilizing effective envelopes and service curves
JP3783947B2 (en) * 2002-08-14 2006-06-07 日本電信電話株式会社 Video stream quality control method, program thereof and recording medium
JP4062240B2 (en) * 2003-11-14 2008-03-19 Kddi株式会社 Variance estimation method in traffic fluctuation, reception buffer control device and program thereof

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050163103A1 (en) * 2002-03-13 2005-07-28 Telefonakiebolaget Lm Ericsson (Publ) Connection admission control in packet-oriented, multi-service networks
CN101212389A (en) * 2006-12-30 2008-07-02 华为技术有限公司 Outburst convergence control method, device, and communication device
CN101448236A (en) * 2008-12-24 2009-06-03 中国科学技术大学 Service model-based network charging system

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
LISA G. DRON 等: "Delay Analysis of Continuous Bit Rate Traffic Over an ATM Network", 《IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS》 *
MICHEL MANDJES 等: "Large deviations for small buffers an insensitivity result", 《QUEUEING SYSTEMS》 *
姚正林 等: "网络随机接入ON-OFF重尾流的准入控制研究", 《计算机工程》 *
张博 等: "长相关网络流量Hurst指数估计算法", 《计算机工程》 *
陈云龙 等: "现代网络业务流的几个基本定律", 《华南理工大学学报(自然科学版)》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120300688A1 (en) * 2011-05-27 2012-11-29 Gholmieh Ralph A Group id and qos group identification for stream multiplexing in multicast and broadcast systems
WO2012166306A1 (en) * 2011-05-27 2012-12-06 Qualcomm Incorporated Group id and qos group identification for stream multiplexing in multicast and broadcast systems
CN103988527A (en) * 2011-05-27 2014-08-13 高通股份有限公司 Group id and qos group identification for stream multiplexing in multicast and broadcast systems
US9143901B2 (en) 2011-05-27 2015-09-22 Qualcomm Incorporated Group ID and QOS group identification for stream multiplexing in multicast and broadcast systems
CN103988527B (en) * 2011-05-27 2018-06-05 高通股份有限公司 For flowing group ID and the QoS group of multiplexing mark in multicast and broadcast system
CN108696455A (en) * 2017-04-11 2018-10-23 华为技术有限公司 Method and device for processing service flow
CN108696455B (en) * 2017-04-11 2021-06-15 华为技术有限公司 Method and device for processing service flow

Also Published As

Publication number Publication date
JP5564350B2 (en) 2014-07-30
CN101958828B (en) 2014-12-03
JP2011024214A (en) 2011-02-03

Similar Documents

Publication Publication Date Title
CN109600262B (en) Resource self-configuration and self-optimization method and device in URLLC transmission network slice
Almowuena et al. Energy-aware and bandwidth-efficient hybrid video streaming over mobile networks
CN100583869C (en) Dispatching method for service transmission priority in multiple service communication system
CN101938786A (en) Scheduling authority allocating method and communication device
US10313185B2 (en) Method and device for updating multimedia broadcast multicast control channel information
CN102045646A (en) Method and equipment for synchronously counting multimedia broadcast multimedia service (MBMS)
EP2101510B1 (en) A method,system and base station for transmitting broadcast services data over a single frequency network
CN101958828B (en) Service multiplex processing method and device
US20050036455A1 (en) Method of providing a multimedia service in a digital wireless communication network
US8942154B2 (en) Method, BM-SC and base station for multiplexing MBMS services in MBSFN
CN102036177A (en) Multicast and broadcast service flow control method and related equipment
US8755321B2 (en) Method and apparatus for transmitting and receiving multimedia broadcast multicast services
US20120014248A1 (en) Admission control
US20230345085A1 (en) System and method for real-time transmission of a panoramic video
Jiménez-Soria et al. Coordinated multicast/unicast transmission on 5g: a novel approach for linear broadcasting
CN107005988A (en) Multicast service, dedicated service sending, receiving method and device
Almowuena et al. Mobile video streaming over dynamic single-frequency networks
Majidi et al. Optimized joint unicast-multicast panoramic video streaming in cellular networks
CN1988717A (en) Transmitting method for enhanced multimedia broadcast and multicast service
US9125175B2 (en) Method and apparatus for transmitting MBMS services
CN101132392B (en) Single-carrier frequency broadcast system and method for implementing its business transmission
CN105227491B (en) A kind of resource regulating method in electricity consumption wireless access network
CN114765493B (en) Method, receiving end, transmitting end and system for realizing service scheduling
CN104093130A (en) Broadcast multicast service flow control method and related equipment thereof
WO2022012196A1 (en) Method and apparatus for transmitting multicast service data

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: 20141203

Termination date: 20190717

CF01 Termination of patent right due to non-payment of annual fee