Access method and control method of cognitive wireless MESH network

Abstract

The invention discloses an access method of a cognitive wireless MESH network, comprising the following steps of: dividing the wireless network into a multi-layer structure; selecting a cluster head of each single-hop cluster, and taking each cluster head of the same layer as a node of each single-hop cluster of the upper layer thereof until the highest layer; and finishing negotiation between every two transceiving nodes through a common control channel, and locking channel communication through the negotiation. The invention also discloses a control method of the cognitive wireless MESH network, and in the method, each node generates and maintains a data channel priority information table and a neighbor node communicating table; each transceiving node broadcasts and updates information on the corresponding common control channel; and communication is carried out on the channel in a DATA-ACK-DATA-ACK mode. The control method has the advantages that a data transmission channel between every two transceiving nodes can be flexibly matched; interference of a neighbor node is overcome; channel dynamic switch is implemented according to channel quality information; the business demands of a cognitive user is satisfied, and the priority of the user is guaranteed; and self-adaptation loading and regulation are carried out according to the variation of cognitive nodes.

Description

technical field [0001] The present invention relates to an access method and an access control method in a cognitive radio system, in particular to an access method for a cognitive wireless MESH network and an access control method based on the access method . Background technique [0002] As an intelligent spectrum sharing technology, cognitive radio (Cognitive Radio: CR) relies on the support of artificial intelligence to sense the wireless communication environment. use of vacant spectrum. In theory, it allows multi-dimensional spectrum multiplexing and sharing in time domain, frequency domain and air domain. [0003] In a cognitive radio network, the set of available channels of different cognitive nodes varies with space and time, and the key issues to be solved in its access control include: realizing channel selection between the transmitting and receiving ends, ensuring that the transmitting and receiving nodes can achieve transmission channel matching ; When the ...

AI Technical Summary

Problems solved by technology

Although the access method of the existing cognitive wireless MESH network adopts a distributed access structure, the information exchange channel between members of the structure and the access control protocol applied to this channel have not yet formed an effective mechanism. , so that under the access method and control method of the existing cognitive wireless MESH network, it is impossible to effectively solve the above-mentioned key problems that should be solved in access control, and it is impossible to effectively ensure that the QoS needs of cognitive users' own services are met without hindering authorization. The user's priority cannot be adaptively loaded and adjusted according to changes in cognitive nodes

[0006] The significant disadvantage of the existing cognitive wireless MESH network access method is that it cannot effectively solve the following key problems that should be solved in access control: to realize channel selection between the sending and receiving ends, to ensure that the sending and receiving nodes can achieve transmission channel matching; when the sending end When transmitting data packets, overcome the interference from neighboring nodes; publish the change information of the available channel set in the whole network; implement channel dynamic switching according to the channel quality information

It is also impossible to effectively guarantee that the cognitive user's own business QoS needs are met without hindering the priority of authorized users, and it is impossible to perform corresponding adaptive loading and adjustment according to changes in cognitive nodes

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