Stackeberg game-based cognitive network resource allocation method

A technology of resource allocation and cognitive network, applied in the field of cognitive network resource allocation based on Stackeberg game, to achieve the effects of optimized resource allocation, loosely coupled distributed resource control and management, and good scalability

Active Publication Date: 2011-05-25
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

In fact, billing itself also reflects a resource allocation mechanism. Although it does not explicitly allocate network buffer and bandwidth resources for specific user data streams, the price leverage limits

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  • Stackeberg game-based cognitive network resource allocation method
  • Stackeberg game-based cognitive network resource allocation method
  • Stackeberg game-based cognitive network resource allocation method

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Embodiment Construction

[0027] Below in conjunction with accompanying drawing, the technical scheme of invention is described in detail:

[0028] like figure 1 , 2 As shown, the present invention proposes a method for allocating network resources based on Stackeberg game. This method integrates cognitive network, differentiated service and increasingly mature business identification technology, introduces the method of dynamic game, and applies discrete feedback induction strategy to the flow control of cognitive network. A network dynamic adjustment algorithm with induction strategy is designed, which makes the network converge from the general state to the optimal state, and guarantees the network QoS.

[0029] Its specific implementation process can be divided into four steps.

[0030] 1. Cognitive Domain Model Establishment

[0031] Function: Network structure and function are not independent of each other. It is found that the evolution behavior of the system has a very obvious relationship ...

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Abstract

The invention discloses a Stackeberg game-based network resource allocation method. The method comprises the following steps of: acquiring parameters of a domain cognitive server; gathering and processing information of the domain cognitive server; reporting a current state and a quality of service (QoS) parameter of a network to a center server; gathering the information of the whole network by using the center server; transmitting strategy information to each domain server by using the center server; generating strategy space by using the domain cognitive server; and performing closed-loop information feedback. The method mainly researches how to introduce a master-slave incentive thought in a game theory into a cognitive network, introduces a network induction strategy by self-sensing dynamic information of the network, and discloses a dynamic adjusting algorithm of the network from a common state to an optimal operation state by adopting a dynamic game method so as to realize self-control of the cognitive network. The method relates to the technical fields such as service identification, the QoS of the network, the game theory, the cognitive network and the like.

Description

technical field [0001] Based on cognitive network, the present invention proposes a method for allocating network resources based on Stackeberg game. The main research is how to introduce the master-slave incentive idea in the game theory into the cognitive network, introduce the network induction strategy through the dynamic information of the self-perception network, and adopt the method of dynamic game, and propose a network from the general state to the optimal operation state. The dynamic adjustment algorithm realizes the self-control of the cognitive network. The method involves technical fields such as service identification, network QoS, game theory, and cognitive network. Background technique [0002] In recent years, with the rapid exponential growth of network traffic, various applications have increased demands on network resources, especially real-time network multimedia applications that require strict QoS guarantees require more network resources. Resource a...

Claims

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Application Information

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IPC IPC(8): H04W28/16H04W72/04
Inventor 孙雁飞张顺颐亓晋顾成杰朱磊王攀吴继宝
Owner NANJING UNIV OF POSTS & TELECOMM
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