CN101945406B - Method for constructing vector space model for cognitive network resources - Google Patents
Method for constructing vector space model for cognitive network resources Download PDFInfo
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Abstract
The invention discloses a method for constructing a vector space model for cognitive network resources, which belongs to the technical field of wireless communication networks and mainly solves the problem that the prior art lacks in specific network resource models and unified standard for managing cognitive network resources. The method comprises the following steps: defining resources, resource elements and characteristic parameters of a cognitive network; dividing cognitive wireless communication network resources into four independent resource elements; defining the respective characteristic parameter for each resource element; constructing a coordinate system by utilizing the characteristic parameters corresponding to the resource elements, and respectively describing each resource element by using a mathematical space model; and constructing the mathematical space model by using the resource elements as coordinate axes, and describing the complete cognitive network resources. The invention enables the construction and structures of the cognitive network resources to be clear and vivid, provides convenience for management and distribution of the cognitive network resources, and can provide support and assistance for technology research and resource management in the field of cognitive network communication.
Description
Technical field
The invention belongs to the cordless communication network technical field, relate to Resource Modeling and the characterizing method of cognition radio communication network, can be used for the analysis of cognition radio communication Internet resources and concrete management.
Background technology
Cognitive radio technology is a kind of emerging communication technology that frequency spectrum is efficiently utilized.Cognitive radio system is by carrying out the use state that perception surveys to obtain frequency spectrum to spectrum environment, after analyzing through study mechanism, the part utilized that remains in the frequency spectrum is managed and distributes, to satisfy the spectrum requirement of more business.
Cognition wireless network is the further technical field that develops on the cognitive radio basis.It thinks that network system has cognitive process, can differentiate current network state, and plans, makes a strategic decision and respond according to these dress motions, thereby satisfies to end-to-end communication requirement with to the efficient utilization of overall network.
Cognitive radio technology is that this scarce resource of frequency spectrum efficiently utilized method in essence, frequency spectrum resource is realized the operating process that frequency spectrum resource perception, frequency spectrum resource information interchange, dynamic spectrum resource management and distribution etc. are concrete as its handled object in system.Yet cognition network is further developing of cognitive radio technology, it for resource object, no longer only be confined to the frequency spectrum category.
In the former studies, be from the cognition wireless electrical degree mostly, to definition and the analysis of frequency spectrum resource.Such as specially inviting in the article " Cognitive Radio:Brain-Empowered Wireless Communications " at Simon Haykin, perception, decision method to the wireless frequency spectrum cavity have been discussed, so that the use frequency spectrum resource that cognitive user can be waited for an opportunity is to satisfy the demands and to improve utilization ratio.Relate on a small quantity in the research of cognition network, explore for the model of resource.As in the article " Resource Modeling for a Joint Resource Management in Cognitive Radio " of Vuk Marojevic, set up the system model of frequency spectrum, calculating, user's request and wireless request four class environment, but wherein these model individualities are not considered, related resource can not reach the end-to-end service requirement of network service.In the research topic " COGNEC:Cognitive and Opportunistic Wireless Communication Networks " of Oulu university, the resource of cognition network is carried out simple classification, form Radio Resource and other resource, on the basis of cognitive radio frequency spectrum resource, point out that other resource of expanding comprises Built-in Resources, User-interface Resources, Network Resources, Social Resources etc., but these resources are only simply enumerated and illustrated, both do not provided concrete resource model, cognitive network resource is not defined again and represent, make unified standard and the standard of lack of control of cognitive network resource, can't provide foundation for cognitive network resource management and analysis.
Summary of the invention
The object of the invention is to for the deficiencies in the prior art, a kind of Mathematical Modeling construction method of cognition radio communication Internet resources is proposed, cognitive network resource being defined and represent, for providing, the research of the technology of the cognition network communications field and resource management support and auxiliary.
The object of the present invention is achieved like this:
One, term explanation
(1) resource of cognition network (resource), it is the main body of research and management, in order to realize the end-to-end communication target, multiple restructural, configurable, available network capabilities summation, any physical quantity, parameter, device and equipment that can affect communication performance can be included within the resource concept field of cognition network.
(2) resource element (element), be in resource can to communication process work and can be self-existent ability individual.It comprises independently resource element of 4 kinds of frequency spectrum resources, access-in resource, link circuit resource, exchange resource.
Frequency spectrum resource is in the cognition radio communication network, and cognitive terminal is between the Network Access Point, the summation of the radio bearer ability that can select and utilize.
Access-in resource is in the cognition radio communication network, and WAP (wireless access point) is to the summation of the access capability of communication service.
Link circuit resource is in the cognition radio communication network, carries out the summation of link connection and service bearer ability.
Exchange resource is in the cognition radio communication network, and via node is to the summation of the exchange disposal ability of communication service.
Professional to any one end-to-end communication in the cognition radio communication network, can both think that above four kinds of resource elements merge the result of service.Each resource element is relatively independent, does not have supporting function, but the association that exists characteristic parameter to share.
(3) characteristic parameter (parameter) is to portray and describe the not physical index of ipsilateral character of resource element.Characteristic parameter itself does not possess the independent resource characteristic of elements, namely can not consist of the complete individuality that affects communication capacity, but is used for limiting the side feature of resource element, and the mathematical description of support resource element and perfect.To each resource element of setting, definition characteristic parameter separately, the characteristic parameter that different resource elements relates to is different, can be divided into attributive character parameter and performance characteristic parameter.Wherein, the intrinsic essence of attributive character Parametric Representation cognitive network resource or description is set; Concrete variable condition or the ability description of performance characteristic Parametric Representation cognitive network resource.
Two, performing step:
The vector space model construction method of cognition radio communication Internet resources of the present invention comprises the steps:
(1) according to communicating requirement end to end, the resource of cognition network is divided into independently resource element of 4 kinds of frequency spectrum resource, access-in resource, link circuit resource and exchange resources;
(2) 4 kinds of resource elements setting are defined with characteristic parameter respectively, that is:
The characteristic parameter of definition frequency spectrum resource comprises: time attribute, locus attribute, frequency attribute and power-performance;
The characteristic parameter of definition access-in resource comprises: access point attribute, time attribute, space covering area range attribute, frequency attribute, network subordinate attribute and access performance parameter group;
The characteristic parameter of definition link circuit resource comprises: time attribute, link position are to attribute and link performance parameters group;
The characteristic parameter of definition exchange resource comprises: time attribute, locus attribute and switching performance parameter group;
(3) according to defined characteristic parameter, each resource element is formed the hyperspace coordinate system that is represented as reference axis by separately characteristic parameter;
(4) in the hyperspace coordinate system of resource element, each resource element is expressed as the specific function that contains characteristic parameter according to user or professional end-to-end communication demand, form the spatial model of each resource element;
(5) adopt two-stage vector space model construction method, on the spatial model basis of each resource element, with each resource element as coordinate independently, the hyperspace coordinate system of formation cognitive network resource;
(6) in the hyperspace coordinate system of cognitive network resource, cognitive network resource is expressed as the function that contains four kinds of resource elements according to user or professional end-to-end communication demand, form the vector space model of cognitive network resource integral body.
The present invention is compared with existing technology to have advantages of
1. the present invention is owing to having defined resource, resource element and the characteristic parameter of cognition network, and formation is described resource element by characteristic parameter, hypotaxis and expression system (as shown in Figure 5) by the set description resource of resource element, explain and the Nomenclature Composition and Structure of Complexes relation that cognitive network resource has been described, make cognitive network resource more concrete, regulations are more clear, convenient management to cognitive network resource.
2. the present invention is according to cognition network communicating requirement end to end, the resource of cognition network clearly is divided into independently resource element of 4 kinds of frequency spectrum resources, access-in resource, link circuit resource, exchange resource, and set the characteristic parameter of every kind of resource element, clear and definite definition and the expression of cognitive network resource, particular content and the form of cognitive network resource have been provided, make the Internet resources of any one the end-to-end communication business in the cognition radio communication network can be by unified Standard Decomposition, for the analysis of cognitive network resource provides standard and judgment.
3. the present invention is owing to forming the resource element space by characteristic parameter first, formed again the two-stage vector space model construction method in cognitive network resource space by resource element, the visualization that the concept of utilization mathematical space has formed cognitive network resource embodies, and can become to analyze and the instrument and the approach that utilize cognitive network resource.
4. the present invention is owing to having made up based on the whole mathematical space model of the resource of cognition network, user or professional end-to-end communication requirement description can be converted into restrictive condition or the constraints of looking for resource in mathematical space, it is the process of the concrete end-to-end communication configuration network resource of cognition radio communication network, just be converted into the process of in the mathematical space set, looking for optimum point or limit according to constraints, thereby, the resource management of cognition network just becomes concrete mathematical computations with distribution, just can utilize numerous mathematical methods approach that achieves a solution, for resource management and the distribution of cognition network are provided convenience.
Description of drawings
Fig. 1 is the flow chart that the present invention makes up the vector space model of cognitive network resource;
Fig. 2 is the resource element decomposing schematic representation that among the present invention cognitive network resource is satisfied the end-to-end communication demand;
Fig. 3 is the schematic diagram in the frequency spectrum resource that utilizes characteristic parameter to make up among the present invention, access-in resource, link circuit resource, 4 kinds of resource element spaces of exchange resource;
Fig. 4 is the cognitive network resource vector space schematic diagram that utilizes resource element to make up among the present invention;
Fig. 5 is hypotaxis and the expression system schematic diagram of resource, resource element and the characteristic parameter of the final cognition network that forms of the present invention.
Embodiment
With reference to Fig. 1, the present invention makes up the vector space model of cognitive network resource in accordance with the following steps:
Step 1, the resource of dividing cognition network.
According to communicating requirement end to end, the resource of cognition network is divided into independently resource element of 4 kinds of frequency spectrum resources, access-in resource, link circuit resource, exchange resource, for example to as shown in Figure 2 cognition network, cognitive network resource R can be divided into frequency spectrum resource R
Frequency, access-in resource R
Access, link circuit resource R
Link, A, R
Link, B, R
Link, C, R
Link, D, and exchange resource R
Switch, M, R
Switch, N, R
Switch, OAmount to 9 resource elements.
Step 2 is described each resource element with characteristic parameter.
To 4 kinds of resource elements setting, define respectively characteristic parameter separately, wherein characteristic parameter should comprise attributive character parameter and performance characteristic parameter.Be defined as follows:
Definition frequency spectrum resource element R
FrequencyCharacteristic parameter, comprise time attribute time, locus attribute location, frequency attribute frequency and power-performance power.
Definition access-in resource element R
AccessCharacteristic parameter, comprise access point attribute node, time attribute time, space covering area range attribute area, frequency attribute frequency, network subordinate attribute net and access performance parameter group access-performance.Wherein, access performance parameter group access-performance comprises the performance characteristic parameter of disposal ability dispose-ability, access delay delay and these concrete access-in resource elements of expense fee.
Definition link circuit resource element R
LinkCharacteristic parameter, comprise that time attribute time, link position are to attribute location-pair and link performance parameters group link-performance.Wherein, link performance parameters group link-performance comprises the performance characteristic parameter of these concrete link circuit resource elements of speed rate, time delay delay, expense fee and error rate error-rate.
Definition exchange resource element R
SwitchCharacteristic parameter, comprise time attribute time, locus attribute location and switching performance parameter group switch-performance.Wherein, switching performance parameter group switch-performance comprises the performance characteristic parameter of exchange capacity switch-ability, storage buffer, time delay delay and these concrete exchange resource elements of blocking rate block-rate.
Step 3. forms the spatial model of each resource element.
Each resource element is formed the hyperspace coordinate system that is represented as reference axis by separately characteristic parameter, and according to user or professional end-to-end communication demand, each resource element is expressed as the specific function that contains characteristic parameter, form the spatial model of each resource element, as shown in Figure 3, wherein, Fig. 3 (a) is the spatial model of frequency spectrum resource element, Fig. 3 (b) is the spatial model of access-in resource element, Fig. 3 (c) is the spatial model of link circuit resource element, and Fig. 3 (d) is the spatial model of exchange resource element.
For example, the spatial model with the frequency spectrum resource element can be expressed as: R
Frequency=Function(time, location, frequency, power); The spatial model of access-in resource element can be expressed as: R
Access=Function(node, time, area, frequency, net, access-performance); The spatial model of link circuit resource element can be expressed as: R
Link=Function(time, location-pair, link-performance); The spatial model of exchange resource element can be expressed as: R
Switch=Function(time, location, switch-performance).
Step 4. forms the vector space model of cognitive network resource integral body.
4a. adopt two-stage vector space model construction method, on the basis of the spatial model of known each resource element,, be about to cognitive network resource and form the hyperspace coordinate system that is represented as reference axis by each resource element as coordinate independently with each resource element.
4b. in the hyperspace coordinate system of cognitive network resource, cognitive network resource is expressed as the specific function that contains resource element according to concrete user or professional end-to-end communication demand, form the vector space model of cognitive network resource integral body, as shown in Figure 4.For example, for cognition network shown in Figure 2, the cognitive network resource vector space model can be expressed as: R=Function(R
Frequency, R
Access, R
Link, A, R
Link, B, R
Link, C, R
Link, D, R
Switch, M, R
Switch, N, R
Switch, O), wherein function F unction can define and make up according to different cognition network communication requirements.
, formed by characteristic parameter and described resource element to the processing of step 4 by above step 1, by hypotaxis and the expression system of the set description resource of resource element, as shown in Figure 5, namely set up the corresponding mathematical space model of cognitive network resource R.If user or professional end-to-end communication requirement description are formed constraints N with mathematical linguistics, then the cognition radio communication network is to the process of concrete communication service configuration network resource, just can be expressed as coupling and calculate the joint account process of Rn=March (N) and optimal computed Rs=Select (R|Rn), wherein Rn is the set of the cognitive network resource that is complementary with constraints N, and Rs is the optimum solution that meets constraints N among the known corresponding mathematical space model of the cognitive network resource R.Thereby, the foundation of cognitive network resource mathematical space model, for the resource management of cognition network with distribute provide utilize that mathematical method deals with problems may and convenient.
Claims (4)
1. the vector space model construction method of cognition radio communication Internet resources comprises the steps:
(1) according to communicating requirement end to end, the resource of cognition network is divided into independently resource element of 4 kinds of frequency spectrum resource, access-in resource, link circuit resource and exchange resources;
(2) 4 kinds of resource elements setting are defined with characteristic parameter respectively, that is:
The characteristic parameter of definition frequency spectrum resource comprises: time attribute, locus attribute, frequency attribute and power-performance;
The characteristic parameter of definition access-in resource comprises: access point attribute, time attribute, space covering area range attribute, frequency attribute, network subordinate attribute and access performance parameter group;
The characteristic parameter of definition link circuit resource comprises: time attribute, link position are to attribute and link performance parameters group;
The characteristic parameter of definition exchange resource comprises: time attribute, locus attribute and switching performance parameter group;
(3) according to defined characteristic parameter, each resource element is formed the hyperspace coordinate system that is represented as reference axis by separately characteristic parameter;
(4) in the hyperspace coordinate system of resource element, each resource element is expressed as the specific function that contains characteristic parameter according to user or professional end-to-end communication demand, form the spatial model of each resource element;
(5) adopt two-stage vector space model construction method, on the spatial model basis of each resource element, with each resource element as coordinate independently, the hyperspace coordinate system of formation cognitive network resource;
(6) in the hyperspace coordinate system of cognitive network resource, cognitive network resource is expressed as the function that contains four kinds of resource elements according to user or professional end-to-end communication demand, form the vector space model of cognitive network resource integral body.
2. the vector space model construction method of cognition radio communication Internet resources according to claim 1, wherein the described access performance parameter group of step (2) comprises disposal ability, access delay and expense.
3. the vector space model construction method of cognition radio communication Internet resources according to claim 1, wherein the described link performance parameters group of step (2) comprises speed, time delay, expense and the error rate.
4. the vector space model construction method of cognition radio communication Internet resources according to claim 1, wherein the described switching performance parameter group of step (2) comprises exchange capacity, storage, time delay and blocking rate.
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| CN103441956B (en) * | 2013-08-29 | 2016-12-28 | 西安电子科技大学 | A kind of cognitive network resource management method based on resource space vector calculus |
| CN107947847B (en) * | 2017-10-29 | 2020-04-10 | 西安空间无线电技术研究所 | Universal unified characterization method and system for satellite network resources |
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