CN104507166B - Virtual resource configuration method is shared in a kind of baseband pool - Google Patents

Virtual resource configuration method is shared in a kind of baseband pool Download PDF

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CN104507166B
CN104507166B CN201410816195.7A CN201410816195A CN104507166B CN 104507166 B CN104507166 B CN 104507166B CN 201410816195 A CN201410816195 A CN 201410816195A CN 104507166 B CN104507166 B CN 104507166B
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resource
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user
baseband pool
shared resource
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CN104507166A (en
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李兵兵
于海龙
黄敏
贾琼
林春
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Xidian University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10Dynamic resource partitioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses virtual resource configuration method is shared in a kind of baseband pool, it is related to field of communication technology, this approach includes the following steps:A, according to the resource requirement for the wireless communication protocol standards, each class standard supported in baseband pool and associated virtual machine configuration setting correlated variables;B, according to correlated variables, the user under all types of consensus standards asks under the constraints that sum obeys the Poisson distribution that parameter is λ, defines mathematic(al) representation, founding mathematical models;C, mathematical model is solved, the shared resource configuration scheme under different user portfolio is obtained.The method that the present invention accounts for the ratio of total resources by shared resource in determining baseband pool, establishes mixed management model, the mixed management model established through the invention can effectively improve the resource resources profit of entire resource pool, ensure higher resource utilization.

Description

Virtual resource configuration method is shared in a kind of baseband pool
Technical field
The present invention relates to field of communication technology, it is specifically related to share virtual resource configuration method in a kind of baseband pool.
Background technology
With the continuous development of the communication technology, multimedia technology and interconnection technique, people are to communication quality and communication form It is required that higher and higher, traditional network architecture cannot gradually meet the growth requirement of growing electronics and internet, tradition The network architecture there are the problem of become increasingly conspicuous.First, the base station of enormous amount means that the construction investment of great number, site are matched Set, site lease and maintenance cost, building more base stations means more capital expenditures and operation expenses.Secondly, tide Nighttide effect causes existing base station utilization rate low, and the average load of network is usually much less than busy hour load, and different base stations Between cannot share processing capacity, it is also difficult to improve spectrum efficiency.Finally, platform is proprietary requires mobile operator to need maintenance more The cost higher of a incompatible platform, dilatation or upgrading.
To solve the above-mentioned problems, China Mobile proposes a kind of new network framework-C-RAN, and C-RAN is based on collection Middleization processing, the green wireless access network framework of collaborative radio and real-time cloud computing framework, essence are subtracted by realizing Few base station machine room quantity, reduces energy consumption, using Collaborative, virtualization technology, realizes resource-sharing and dynamic dispatching, improves frequency spectrum Efficiency, to reach low cost, the operation of high bandwidth and flexibility ratio.Its advantage is mainly reflected in the following aspects:1, net is reduced Network energy consumption;2, operator's Capital expenditure and O&M cost are reduced;3, load balancing and interference coordination.
Existing centralized resources allocation models is broadly divided into two kinds:Complete fixed administrative model and full dynamic management model. The reaction time of complete fixed management model treatment user request is short, but the model resource profit for random user's request It is relatively low with rate, although full dynamic management model can efficiently utilize all kinds of resources in baseband pool, dynamic configuration virtual Machine needs a large amount of configuration time delays, and the service quality of baseband pool is necessarily affected for real-time wireless communication and increases resource pipe Every expense of reason.
Invention content
The purpose of the invention is to overcome the shortcomings of above-mentioned background technology, provides and share virtual resource in a kind of baseband pool Configuration method, the method that the ratio of total resources is accounted for by shared resource in determining baseband pool, establishes mixed management model, passes through this The mixed management model that invention is established can effectively improve the resource resources profit of entire resource pool, ensure higher resource utilization.
Virtual resource configuration method is shared in a kind of baseband pool of present invention offer, is included the following steps:
A, according to the resource requirement for the wireless communication protocol standards, each class standard supported in baseband pool and associated virtual machine Configuration setting correlated variables;
B, according to correlated variables, the user under all types of consensus standards asks sum to obey Poisson distribution that parameter is λ Under constraints, mathematic(al) representation, founding mathematical models are defined;
C, mathematical model is solved, the shared resource configuration scheme under different user portfolio is obtained.
Based on the above technical solution, correlated variables described in step A includes one user of processing under w consensus standards The virtual resource total amount that request task needs is Rw(RCw,RMw), wherein RCwIt is needed to handle a user resources under w consensus standards The computing resource total amount wanted, RMwTo handle the memory source total amount that a user resources need, entire base band under w consensus standards All total resources R in pondall, defined formula is as follows:
Shared resource total amount RS in baseband poolall, defined formula is as follows:
RSall=γ Rall,
It is fixed under each consensus standard under sub-clustering and services single user request income unit price p=[p1,p2,…,pK], it shares Dynamic resource allocation virtual resource services income unit price p '=[p ' of single user's request1,p′2,…,p′K], wherein pi=δ Ri To service the income that the user of single consensus standard i asks, p under fixed sub-clusteringi'=εipiIt is single for shared resource partial service The income of user's request of consensus standard i, δ are the income weight factor of fixed resource, εiFor shared resource income weight because Son, the income weight factor vector of shared resource is ε=[ε under all types consensus standard12,…,εK]。
Based on the above technical solution, the income weight factor δ ∈ [0.005,0.01] of the fixed resource.
Based on the above technical solution, income weight factor ε ± 5% of the shared resource.
Based on the above technical solution, mathematic(al) representation described in step B includes in entire baseband pool of N number of moment Average total revenue is J, and defined formula is as follows:
WhereinTo fix sub-clustering service users request number, k under i-th of consensus standard of n momenti,n It is that fixed resource part can be most to need service users request number, θ=(1- γ) num under i-th of consensus standard of n moment More service user numbers,For the shared resource portion under n-th of moment, i-th of consensus standard Divide service users request number,It at most can user under service agreement standard i for shared resource Number is asked,The stock number used for current n moment shared resource.
Based on the above technical solution, founding mathematical models need to pay attention to following constraints in step B:I.e. one The sum of user's number of request of all consensus standards obeys the Poisson distribution that parameter is λ in the section time:
WhereinKFor the consensus standard sum supported in baseband pool, ki,nService user is needed to ask at n moment consensus standards i Ask several, P (λ) parameter is the Poisson distribution of λ, and the mathematical model of the shared resource configuration of target, fixed pattern are up to system benefit Formula is as follows:
Compared with prior art, advantages of the present invention is as follows:
The method that the present invention accounts for the ratio of total resources by shared resource in determining baseband pool, establishes mixed management model, The mixed management model established through the invention can effectively improve the resource resources profit of entire resource pool, ensure higher resource profit With rate.
Description of the drawings
Fig. 1 is the flow chart that virtual resource configuration method is shared in baseband pool in the embodiment of the present invention.
Fig. 2 is different the interior average yield variation diagram for servicing all tasks and being obtained of baseband pool in the case of total load.
Fig. 3 is average yield comparison diagram of three kinds of baseband pool resource distribution models in the case where different user asks loading condition.
Fig. 4 is that user's communication request blocking probability asks average reach with total user under three kinds of baseband pool resource distribution models The variation comparison diagram of rate λ.
Fig. 5 is that system is averaged running income with threshold values variation comparison diagram under three kinds of baseband pool resource distribution models.
Specific implementation mode
Below in conjunction with the accompanying drawings and specific embodiment present invention is further described in detail.
It is shown in Figure 1, virtual resource configuration method is shared in a kind of baseband pool of offer of the embodiment of the present invention, including following Step:
S1, the resource requirement according to the wireless communication protocol standards, each class standard supported in baseband pool and respective fictional Machine configuration setting correlated variables.
Correlated variables includes that the virtual resource total amount that user's request task needs is handled under w consensus standards as Rw(RCw, RMw), wherein RCwTo handle the computing resource total amount that a user resources need, RM under w consensus standardswFor under w consensus standards Manage the memory source total amount that a user resources need, all total resources R in entire baseband poolall, defined formula is as follows:
Shared resource total amount RS in baseband poolall, defined formula is as follows:
RSall=γ Rall,
It is fixed under each consensus standard under sub-clustering and services single user request income unit price p=[p1,p2,…,pK], it shares Dynamic resource allocation virtual resource services income unit price p '=[p ' of single user's request1,p′2,…,p′K], wherein pi=δ Ri To service the income that the user of single consensus standard i asks, p ' under fixed sub-clusteringiipiIt is single for shared resource partial service The income of user's request of consensus standard i, δ are the income weight factor of fixed resource, εiFor shared resource income weight because Son (its value takes to prolong and be inversely proportional with configuration respective type resource), the income weight of shared resource under all types consensus standard Because subvector is ε=[ε12,…,εK], and its value has certain fluctuation ε ± 5%, usual δ ∈ [0.005,0.01], due to solid Determine resource unit price and shared resource unit price be all proportional to δ, thus the variation of δ values can only influence finally the averagely value of total revenue and The optimal value of γ is not interfered with.
S2, according to correlated variables, the user under all types of consensus standards asks sum to obey Poisson distribution that parameter is λ Under constraints, mathematic(al) representation, founding mathematical models are defined.
Mathematic(al) representation includes that average total revenue in entire baseband pool of N number of moment is J, and fixed pattern formula is as follows:
WhereinTo fix sub-clustering service users request number, k under i-th of consensus standard of n momenti,n It is that fixed resource part can be most to need service users request number, θ=(1- γ) num under i-th of consensus standard of n moment More service user numbers,For the shared resource portion under n-th of moment, i-th of consensus standard Divide service users request number,It at most can user under service agreement standard i for shared resource Number is asked,The stock number used for current n moment shared resource.
Founding mathematical models need to pay attention to following constraints:That is user's request of all consensus standards whithin a period of time The sum of number obeys the Poisson distribution that parameter is λ:
WhereinKFor the consensus standard sum supported in baseband pool, ki,nService user is needed to ask at n moment consensus standards i Ask several, P (λ) parameter is the Poisson distribution of λ.It is up to the mathematical model of the shared resource configuration of target, fixed pattern with system benefit Formula is as follows:
S3, mathematical model is solved, obtains the shared resource configuration scheme under different user portfolio.
Below by way of experiment simulation, the present invention is described in detail.
Simulation parameter is arranged:
Compatible protocol standard sum K=5 in baseband pool, resource can at most service under arbitrary consensus standard in baseband pool Number of users num=100 takes δ=0.008 to determine the best shared resource capacity of resource in baseband pool in this emulation experiment, Shared resource income weight factor vector takes ε=[0.8,0.75,0.63,0.56,0.45] under each consensus standard, other correlation ginsengs Number is as shown in the table:
Table 1 provides and handles the amount of computational resources and interior that single user needs under each consensus standard used in emulation experiment Deposit stock number;
Table 2, which provides, fixes the resource unit price of sub-clustering resource and the unit price of shared resource in baseband pool.
Single user asks the stock number needed under 1 each consensus standard of table
The income of single user is serviced under 2 each consensus standard of table
Fig. 2 provides the interior average yield variation diagram for servicing all tasks and being obtained of baseband pool in the case of different total loads, As shown in Figure 2, shared resource allocation ratio optimal under different loads is different, with the increase of load, is configured in baseband pool Shared resource ratio is changing.
Fig. 3 provides average yield comparison of three kinds of baseband pool resource distribution models in the case where different user asks loading condition Figure, the respectively complete fixed administrative model of three kinds of baseband pool resource distribution models, full dynamic management model and the present invention establish mixed Close administrative model.From the figure 3, it may be seen that when loading relatively low, it, need not be to shared money in the case of fixing administrative model entirely enough Resource is applied in source pond, therefore complete fixed administrative model is not much different with mixed management model average yield, and full dynamic management mould Type then needs to configure virtual resource for each user's request dynamic, and expense is larger so income is also minimum.When user asks to load When amount increases to 350 or more, the inadequate active user of resource in complete fixed administrative model under certain consensus standards uses, and mutually Between cannot share idle resource, the income for causing system total no longer changes, and mixed management model can call altogether Enjoy resource in resource pool, take full advantage of resource idle under other consensus standards under complete fixed administrative model, thus income compared with Greatly.And with the increase of user load, its income also increases full dynamic management model, but opening due to full dynamic configuration Pin is so that income is still below complete fixed administrative model and mixed management model.(it is more than 1050) when user load amount is excessive, entirely The average yield of dynamic management model and mixed management model is close, and since load capacity is excessive, System Priority is high by priority Using maximum return is obtained, i.e. mixed management model turns to all resources shared user, and fix full administrative model by Therefore the influence of initial configuration finally tends towards stability to later stage income is limited.
Fig. 4 provides user's communication request blocking probability under three kinds of baseband pool resource distribution models and please be averaging with total user Up to the variation comparison diagram of rate λ, as shown in Figure 4, in the smaller such as λ≤200 of load capacity, user's communication is asked all under three kinds of models It can be serviced, with the increase of λ, complete fixed administrative model user's communication request occurs and is blocked first, because complete fixed Each consensus standard distribution resource is fixed under administrative model, when user's request is beyond maximum service number under certain consensus standard, part User's communication can not obtain corresponding resource, and a part of shared resource reserved under mixed management model can be beyond user Service, therefore occur user's communication obstruction under mixed management model and lag behind complete fixed administrative model.And full dynamic is managed Model, resource can give all users to share, shared resource total amount to be more than mixed management model, therefore full dynamic management model Under there is user's obstruction and lag behind complete fixed administrative model and mixed management model.When user load becomes larger, mixed management mould Type obtains maximum return to service more users, by more resources cut-in shared resource pond, when user load reaches some When threshold value, all resources are set as shared in mixed management model, end user's congestion situations are consistent with sharing entirely.
Fig. 5 give system under three kinds of baseband pool resource distribution models be averaged running income with threshold values change comparison diagram, by Fig. 5 is it is found that as system thresholds change in 5%~20% range, when mixed management model reaches in user's communication blocking rate When threshold value, larger running income can be obtained under more full dynamic management model and complete fixed administrative model.
Those skilled in the art can be carry out various modifications to the embodiment of the present invention and modification, if these modifications and change For type within the scope of the claims in the present invention and its equivalent technologies, then these modifications and variations are also in protection scope of the present invention Within.
The prior art that the content not being described in detail in specification is known to the skilled person.

Claims (3)

1. sharing virtual resource configuration method in a kind of baseband pool, it is characterised in that include the following steps:
A, it is configured according to the resource requirement for the wireless communication protocol standards, each class standard supported in baseband pool and associated virtual machine Correlated variables is set;
B, according to correlated variables, the user under all types of consensus standards asks sum to obey the constraint of the Poisson distribution that parameter is λ Under the conditions of, define mathematic(al) representation, founding mathematical models;
C, mathematical model is solved, the shared resource configuration scheme under different user portfolio is obtained;
Correlated variables described in step A includes the virtual resource total amount for handling user's request task under w consensus standards and needing For Rw(RCw,RMw), wherein RCwTo handle the computing resource total amount that user's request task needs, RM under w consensus standardswFor w The memory source total amount that user's request task needs, all total resources R in entire baseband pool are handled under consensus standardall, K is the consensus standard sum supported in baseband pool;Num is number of users;γ is the mathematical model of shared resource configuration:Defined formula It is as follows:
Shared resource total amount RS in baseband poolall, defined formula is as follows:
RSall=γ Rall,
It is fixed under each consensus standard under sub-clustering and services single user request income unit price p=[p1,p2,…,pK], shared resource Dynamic configuration virtual resource services income unit price p '=[p of single user's request1′,p′2,…,p′K], wherein pi=δ RiIt is solid Determine to service the income that the user of single consensus standard i asks under sub-clustering, pi'=εipiFor the single agreement of shared resource partial service The income of user's request of standard i, δ are the income weight factor of fixed resource, εiFor the income weight factor of shared resource, institute It is ε=[ε to have the income weight factor vector of shared resource under type protocol standard12,…,εK];
Mathematic(al) representation described in step B includes that average total revenue in entire baseband pool of N number of moment is J, and defined formula is such as Under:
WhereinTo fix sub-clustering service users request number, k under i-th of consensus standard of n momenti,nFor Service users request number is needed under i-th of consensus standard of n moment, θ=(1- γ) num, which is fixed resource part, at most to be taken Business number of users,For the shared resource partial service under n-th of moment, i-th of consensus standard User asks number,It at most can user's request under service agreement standard i for shared resource Number,The stock number used for current n moment shared resource;
Founding mathematical models need to pay attention to following constraints in step B:That is the user of all consensus standards whithin a period of time The sum of number of request obeys the Poisson distribution that parameter is λ:
WhereinKFor the consensus standard sum supported in baseband pool, ki,nTo need service users request at n moment consensus standards i Number, P (λ) are the Poisson distribution of parameter lambda, and the mathematical model of the shared resource configuration of target is up to system benefit, and fixed pattern is public Formula is as follows:
2. sharing virtual resource configuration method in baseband pool as described in claim 1, it is characterised in that:The fixed resource Income weight factor δ ∈ [0.005,0.01].
3. sharing virtual resource configuration method in baseband pool as claimed in claim 2, it is characterised in that:The shared resource Income weight factor ε ± 5%.
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KR102307166B1 (en) * 2017-02-23 2021-10-01 존 메짤링구아 어쏘시에이츠, 엘엘씨 Systems and methods for adaptively tracking and allocating capacity in widely distributed wireless networks
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103916909A (en) * 2013-01-04 2014-07-09 中国移动通信集团公司 Base band pool system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102655677B (en) * 2011-03-02 2015-04-01 株式会社日立制作所 Mobile communication system and far-end radio frequency unit clustering method thereof

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103916909A (en) * 2013-01-04 2014-07-09 中国移动通信集团公司 Base band pool system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
On the Benefits of RAN Virtualisation in C-RAN Based Mobile Networks;Alexander Dawson,et.al。;《2014 Third European Workshop on Software-Defined Networks》;20140903;全文 *
On the Statistical Multiplexing Gain of Virtual Base Station Pools;Jingchu Liu,et.al.;《Globecom 2014 - Symposium on Selected Areas in Communications: GC14 SAC Cloud Networks》;20141212;全文 *
一种基于C-RAN架构下资源负载预测方法;龙恳,等;《科学技术与工程》;20141130;全文 *

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