Stackeberg game-based cognitive network resource allocation method

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 the cognitive network, the invention proposes a method for allocating network resources based on the Stackelberg 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 ...

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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 those users who cannot accept the current network resource price. network usage behavior, so as to allocate network resources to those users who are in urgent need of network services and accept higher prices

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