CN103347284A - Method for representing and managing multiple resources in cognitive fusion network - Google Patents
Method for representing and managing multiple resources in cognitive fusion network Download PDFInfo
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- CN103347284A CN103347284A CN2013103088170A CN201310308817A CN103347284A CN 103347284 A CN103347284 A CN 103347284A CN 2013103088170 A CN2013103088170 A CN 2013103088170A CN 201310308817 A CN201310308817 A CN 201310308817A CN 103347284 A CN103347284 A CN 103347284A
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Abstract
A method for managing multiple resources in a cognitive fusion network comprises the flowing the steps that S1, a resource agent obtains resource information in the cognitive fusion network periodically, a resource information code is formed, and a resource information list is updated; S2, the resource information list is managed; S3, the quantity of the resources in the cognitive fusion network is calculated; S4, multi-resource agents collaboratively manage the multiple resources. The method can provide bases for the conditions of the resources macroscopically grasped by an operator, and meanwhile is beneficial for exploring an optimal resource management and distribution method.
Description
Technical field
The present invention relates in a kind of cognitive UNE many resource tables management method of seeking peace, realize the integrated planning resource, satisfy the end-to-end QoS requirement.
Background technology
Efficient autonomous resource management and control technology are one of key technologies that determines current communication system performance, also are the important channels that ensures multi-user's service quality and experience quality requirement.Under the overall situation of current heterogeneous network height fusion development, how to realize that the high-efficiency comprehensive utilization of multiple resources such as many networks, multi-user and many smart machines has strategic importance.No matter be further to improve the resource income for operator, still satisfy the more and more multiple business demand of high-quality requirement of user, all propose stern challenge more.Current, the network integration presents a kind of main trend, and resource management and distribution have been proposed requirements at the higher level.No matter be from a plurality of degree such as time, space and frequencies, still from the different aspects of protocol stack, same resource also embodies different characteristics.This causes the ambiguity for resource essence understanding.Cognitive radio technology is for understanding resource, exploration resource and efficiently utilize resource that new angle and direction are provided.
Based on cognitive radio and network technology thereof etc., realize effective fusion of multiple wireless access network.On the one hand, can thoroughly solve the wireless network development model of current " isolated island formula "; In addition, it can realize effectively converging and unifying management and control towards the multi-domain environment resource of the resource requirement of multiple business.Simultaneously, the end-to-end usefulness high-quality that can realize multiple services perfect resource guarantee and user is experienced.
We realize that based on cognitive radio and network technology thereof the network that multiple heterogeneous network successfully merges is cognitive UNE.The maximum characteristics of cognitive UNE are awareness, independence, suitable sex change and amalgamation.In this cognitive UNE, the management of resource and control become the key technology that determines its network performance.Senior autonomous resource management and control scheme by the high-efficient disposition to resource, effectively guarantees multi-user's QoS requirement, and effectively improves the multiple level of resources utilization.How at cognitive UNE characteristics, towards multiple business, realize the fusion resource control scheme of classify and grading, realize from primary resource management and control and distribution according to need, very crucial for cognitive UNE development.Simultaneously, in cognitive UNE, adopt resource management and the control technology of unified shader, very crucial for service quality problem under the solution heterogeneous network environment.Yet because the diversity (as shown in Figure 1) of resource class, the management of resource and control are difficult to form the unified management mode of vertically striding layer, horizontal inter-network; And towards the cross-heterogeneous-network environment, it is challenging especially to merge resource management and control conceptual design,
Environment sensing and professional perception are the basic characteristics of cognition wireless network.Cognition network is explored how available resource by the cognitive radio environment, realizes satisfying many resource intelligent couplings of concrete service bearer demand.Following cordless communication network presents the development trend that the ubiquitous isomery of intelligent green merges, the coexistence of multi-modulation scheme Radio Access Network, and seamless mobile service is in various degree supported in the multi-node collaborative transmission.The common application of multiple wireless transmission standard has become inexorable trend, and the allocation of radio resources algorithm also needs to pay close attention to simultaneously multiple radio resource and distributes.Different Radio Resources one in can respective signal space, the resource type in the wireless communication system increases gradually, therefore this Radio Resource diverse trends, i.e. Radio Resource polyvoltine.Along with the application of new Radio Transmission Technology, the resource type in the wireless communication system increases gradually, presents polyvoltine trend.It is little that the conventional wireless resource allocation methods can not adapt in many Radio Resources system the resource partition size, distributes flexibility ratio big, is subjected to the big characteristics of channel status and customer service distribution influence.Therefore research is applicable to that the novel resource allocation methods of many Radio Resources system has great significance to following development of wireless communication devices.
Used the communication system of two or more Radio Transmission Technology need carry out two or more wireless resource allocation, we are referred to as many allocation of radio resources.Now, along with continuous advancement in technology, increasing wireless network appears at around us.The cellular network of 2G is used ripe, and 3G network has also entered extensive commercial stage, and WLAN short distance overlay network on every side is also more and more, and these networks will coexist in the future for a long period of time.Undoubtedly, isomerism will become one of principal character of the present and the future's radio communication.But owing to lack the mechanism that the effective network information is mutual and resources effective is coordinated and shared between the different system, different network technologies has formed isolated relatively autonomous area, greatly reduces the utilization of resource rational and effective.Therefore how to realize that heterogeneous network merges, so that the resource of more effectively utilizing various wireless networks just becomes the current subject matter that we face for the user provides high bandwidth, high-quality business.
It is little that the conventional wireless resource allocation methods can not adapt in many Radio Resources system the resource partition size, distributes flexibility ratio big, is subjected to the big characteristics of channel status and customer service distribution influence.Therefore research is applicable to that the novel resource allocation methods of many Radio Resources system has great significance to following development of wireless communication devices.
Summary of the invention
The objective of the invention is at the current techniques deficiency, propose a kind of many resources characterizing method that adopts based on stock number, the situation of the resource that can grasp from macroscopic view for operator provides foundation, helps to explore best resource management and distribution method simultaneously.It specifically comprises: many resource tables management method of seeking peace in a kind of cognitive UNE may further comprise the steps:
S1: Resource Broker periodically obtains the resource information in the cognitive UNE, and forms the resource information coding, and upgrades the resource information tabulation, and described resource information comprises the resource kind, resource quantity and resource quality;
S2: described resource information has corresponding resource entries in the Resources list, the correspondence position of the resource entries of the resource information that the Resource Broker inquiry is newly obtained in the existing resource tabulation, if described resource information is present in the source material tabulation, namely current resource entries is joined the Resources list; Otherwise, for this new resource entries information is independently created clauses and subclauses in original the Resources list;
S3: Resource Broker adopts stock number to unified Modeling such as the kind of the many resources in current the Resources list, quality and quantities after periodic the Resources list information after obtaining to upgrade;
S4: described many Resource Brokers carry out many resources and distribute, its comprise single Resource Broker towards end to end to the resource consolidation of the many resources in inside under it, also comprise between a plurality of Resource Brokers according to realizing the many resource managements of associating on the basis of resource information exchange.
On the basis of technique scheme, described single Resource Broker to the resource consolidation of the many resources in inside under it, refers to that single Resource Broker realizes maximum revenue end to end by adjusting its controlled resource distribution towards end to end, and formulation is
Wherein, u
i(ρ
i) what describe is the revenue function of stock number.
On the basis of technique scheme, according to realizing the many resource managements of associating on the basis of resource information exchange, refer to that a plurality of Resource Brokers are by the mutual realization integral benefit maximization of the resource information of grasp each other between described a plurality of Resource Brokers.Be expressed as on the mathematics
The f function representation be with a plurality of Resource Brokers between the relevant aggregate resource revenue function of competition and cooperation relations, a plurality of Resource Brokers are adjusted resource distribution realization aggregate resource maximum revenue by uniting.
On the basis of technique scheme, described Resource Broker can be mounted in the independently software entity in the cognitive heterogeneous network, also can be the function that increases in original different systems network element.
On the basis of technique scheme, described Resource Broker can be the distributed independent following resource table management processs of seeking peace of realizing of a plurality of Resource Brokers, also can be the following resource table of realization of the centralized Resource Broker realization one's respective area of the relatively independent cognitive heterogeneous network in each geographic area management process of seeking peace.
On the basis of technique scheme, described S3 comprises that establishing i Resource Broker obtains whole many resource informations, comprises M type of resource, and the quantity of resource type is t among the m
m, its corresponding quality is q
m, can calculate total quantity information of M type of resource
And the following formula of foundation calculates its stock number
With respect to prior art, the present invention adopts the many resources characterizing method based on stock number, and the situation of the resource that can grasp from macroscopic view for operator provides foundation, helps to explore best resource management and distribution method simultaneously.Adopt the unified sign of stock number and describe many resources, and realize the flexible management and control of many resource high-efficiencies towards stock number.Reach the purpose of the high-efficient disposition of scattered resource.
Description of drawings
Fig. 1 is flow chart of the present invention;
Embodiment
Describe technical scheme of the present invention in detail below in conjunction with the accompanying drawing specific embodiment.
Introduce key step of the present invention with reference to Fig. 1:
A kind of many resources characterizing method that adopts based on stock number, the situation of the resource that can grasp from macroscopic view for operator provides foundation, helps to explore best resource management and distribution method simultaneously.It specifically comprises: 1. many method for managing resource in the cognitive UNE, it is characterized in that, and may further comprise the steps:
S1: Resource Broker periodically obtains the resource information in the cognitive UNE, and forms the resource information coding, and upgrades the resource information tabulation, and described resource information comprises the resource kind, resource information and resource quality; Resource Broker obtains the method for resource information, comprises that many network elements periodically report resource information information in the cognitive UNE that Resource Broker collected, and also can be that Resource Broker perceives resource cavity information etc. by cognitive techniques.
S2: described resource information has corresponding resource entries in the Resources list, the correspondence position of the resource entries of the resource information that the Resource Broker inquiry is newly obtained in the existing resource tabulation, if described resource information is present in the source material tabulation, namely current resource entries is joined the Resources list; Otherwise, for this new resource entries information is independently created clauses and subclauses in original the Resources list;
S3: calculate the stock number of resource in the described cognitive UNE, it comprises that establishing i Resource Broker obtains whole many resource informations, comprises M type of resource, and the quantity of resource type is t among the m
m, its corresponding quality is q
m, can calculate total quantity information of M type of resource
And the following formula of foundation calculates its stock number
For example, the mathematical space of certain resource comprises resource agents to have 1 of 10 watts (is q
1=10, t
1=1), 8 of 200KHz channels (are q
2=200, t
2=8), 4 of 5M buffering areas (are q
3=5, t
3=4) and 3 of 6MIPS computing equipments (be q
4=6, t
4=3) totally four types of resources (being M=4), its stock number is calculated as follows:
Therefore, its stock number is
By (3) as can be known, 4 of 1 of 10 watts and 5M buffering areas produce same stock number.Substitution of resources for example, under the situation of network bandwidth scarcity, can reduce the demand of bandwidth resources by the mode of data compression, and relevant cost is the computational resource that consumes two end systems.
S4: many Resource Brokers carry out many resources and distribute, its comprise single Resource Broker towards end to end to the resource consolidation of the many resources in inside under it, also comprise between a plurality of Resource Brokers according to realizing the many resource managements of associating on the basis of resource information exchange.
Single Resource Broker to the resource consolidation of the many resources in inside under it, refers to that single Resource Broker realizes maximum revenue end to end by adjusting its controlled resource distribution towards end to end, and formulation is
Wherein, u
i(ρ
i) what describe is the revenue function of stock number.
According to realizing the many resource managements of associating on the basis of resource information exchange, refer to that a plurality of Resource Brokers are by the mutual realization integral benefit maximization of the resource information of grasp each other between a plurality of Resource Brokers.Be expressed as on the mathematics
The f function representation be with a plurality of Resource Brokers between the relevant aggregate resource revenue function of competition and cooperation relations, a plurality of Resource Brokers are adjusted resource distribution realization aggregate resource maximum revenue by uniting.
For example, the resource mapping table lattice of classifying according to different business; Can be the example of concrete standard or system.Please refer to table 1
Table 1 business demand quantification table
Under the polytype business comprise multimedia service, picture, also comprise streaming media service, video conference etc.Concrete method for mapping resource comprises the resource method of estimation of service-oriented quality assurance.As analyzing the QoS mapping method based on the ash connection degree of user's perception, in the heterogeneous network based on the horizontal QoS mapping method of aggregate flow etc.
With respect to prior art, the present invention adopts the many resources characterizing method based on stock number, and the situation of the resource that can grasp from macroscopic view for operator provides foundation, helps to explore best resource management and distribution method simultaneously.
Claims (6)
1. many resource tables management method of seeking peace in the cognitive UNE is characterized in that, may further comprise the steps:
S1: Resource Broker periodically obtains the resource information in the cognitive UNE, and forms the resource information coding, and upgrades the resource information tabulation, and described resource information comprises the resource kind, resource quantity and resource quality;
S2: described resource information has corresponding resource entries in the Resources list, the correspondence position of the resource entries of the resource information that the Resource Broker inquiry is newly obtained in the existing resource tabulation, if described resource information is present in the source material tabulation, namely current resource entries is joined the Resources list; Otherwise, for this new resource entries information is independently created clauses and subclauses in original the Resources list;
S3: Resource Broker adopts stock number to unified Modeling such as the kind of the many resources in current the Resources list, quality and quantities after periodic the Resources list information after obtaining to upgrade;
S4: described many Resource Brokers carry out many resources and distribute, its comprise single Resource Broker towards end to end to the resource consolidation of the many resources in inside under it, also comprise between a plurality of Resource Brokers according to realizing the many resource managements of associating on the basis of resource information exchange.
2. many resource tables management method of seeking peace in a kind of cognitive UNE according to claim 1, it is characterized in that: described single Resource Broker is towards end to end to the resource consolidation of the many resources in inside under it, refer to that single Resource Broker realizes maximum revenue end to end by adjusting its controlled resource distribution, formulation is
Wherein, u
i(ρ
i) what describe is the revenue function of stock number.
3. many resource tables management method of seeking peace in a kind of cognitive UNE according to claim 1, it is characterized in that: according to realizing the many resource managements of associating on the basis of resource information exchange, refer to that a plurality of Resource Brokers are by the mutual realization integral benefit maximization of the resource information of grasp each other between described a plurality of Resource Brokers.Be expressed as on the mathematics
The f function representation be with a plurality of Resource Brokers between the relevant aggregate resource revenue function of competition and cooperation relations, a plurality of Resource Brokers are adjusted resource distribution realization aggregate resource maximum revenue by uniting.
4. many resource tables management method of seeking peace in a kind of cognitive UNE according to claim 1, it is characterized in that: described Resource Broker can be mounted in the independently software entity in the cognitive heterogeneous network, also can be the function that increases in original different systems network element.
5. as the management method of seeking peace of many resource tables in a kind of cognitive UNE as described in the claim 4, it is characterized in that: described Resource Broker can be the distributed independent following resource table management processs of seeking peace of realizing of a plurality of Resource Brokers, also can be the following resource table of realization of the centralized Resource Broker realization one's respective area of the relatively independent cognitive heterogeneous network in each geographic area management process of seeking peace.
6. many resource tables management method of seeking peace in a kind of cognitive UNE according to claim 1, it is characterized in that: described S3 comprises that establishing i Resource Broker obtains whole many resource informations, comprises M type of resource, and the quantity of resource type is t among the m
m, its corresponding quality is q
m, can calculate total quantity information of M type of resource
And the following formula of foundation calculates its stock number
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101170497A (en) * | 2007-11-20 | 2008-04-30 | 中兴通讯股份有限公司 | Method and device for sending network resource information data |
| CN101808366A (en) * | 2010-02-05 | 2010-08-18 | 西安电子科技大学 | Cognitive-based heterogeneous network resource management system and management method thereof |
| US20120236774A1 (en) * | 2011-03-15 | 2012-09-20 | Jiann-Ching Guey | Joint management of radio and transport resources |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101170497A (en) * | 2007-11-20 | 2008-04-30 | 中兴通讯股份有限公司 | Method and device for sending network resource information data |
| CN101808366A (en) * | 2010-02-05 | 2010-08-18 | 西安电子科技大学 | Cognitive-based heterogeneous network resource management system and management method thereof |
| US20120236774A1 (en) * | 2011-03-15 | 2012-09-20 | Jiann-Ching Guey | Joint management of radio and transport resources |
Non-Patent Citations (1)
| Title |
|---|
| 刘勤: "认知无线通信系统的频谱资源管理", 《中兴通讯技术》, 10 April 2009 (2009-04-10), pages 25 - 29 * |
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