Cognitive network resource management system and management method

Abstract

The invention discloses a system for managing cognitive network resources and a management method. The system comprises three layers of management entities: NRM, RNRM and TRM, and utilizes a GPRS network to realize information interaction among the management entities. Th resource management comprises the following steps: a terminal is newly added to intercept a GPRS broadcast channel of an initialization phase to obtain RAN configuration information; the terminal selects RAN register according to the RAN configuration information; the connectivity of the terminal in a dormant state is checked at set intervals; if communication is needed, the terminal enters a middle phase of running; RNRM obtains relative information, and obtains a RAN reconstruction strategy and a RM strategy; NRM utilizes a the RAM reconstruction strategy to control network reconstruction; and TRM obtains the needed RM strategy and history information to finish terminal reconstruction. The invention relizes layering distribution type management of resources by introducing RNRM; the GPRS network technology is utilized to realize the information interaction among the management entities; and combination of local optimization and whole optimization is realized by predetermining user actions, and the invention can be used for management of the cognitive network resources.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a management system for wireless network resources, which can be used for the management of cognitive wireless networks. Background technique [0002] The definition of cognitive network was first proposed by Virginia Tech. It is a communication network that can perceive the existing network environment. By understanding the environment, it can dynamically adjust the overall configuration of the network and intelligently adapt to changes in the surrounding environment. In addition, the network has the ability to learn from changes and use what it learns for future decisions. Since cognitive networks aim at end-to-end performance when making decisions, in addition to wireless spectrum resources, people also need to consider the configuration of a series of resources such as space, device capabilities, and user behavior when performing network management. In the cognitive ne...

AI Technical Summary

Problems solved by technology

[0006] First of all, the system is designed for cognitive radio networks, and only aims at the optimal use of wireless spectrum resources, without considering the management of other resources in the network, that is to say, it does not regard the end-to-end performance of the network as a ultimate management goals

Secondly, although through this system, the distributed management of the network can be realized between the composite wireless networks CWN, but it is still a centralized management within each composite wireless network CWN, which puts forward a lot of problems for the function of the network reconfiguration manager NRM. high demands

More importantly, in this system, for the realization of information exchange between management entities, the 1900.4 standard only proposes a logical entity—the wireless enabler RE, without any feasible technical support, which also limits the The specific application of the management system

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