Hierarchical matching method based on channel quality prediction in cognitive wireless network

Abstract

The invention discloses a hierarchical matching method based on channel quality prediction in a cognitive wireless network. The hierarchical matching method comprises the following steps that: S1, multiple cognitive users form a collaborative perception group; and each cognitive user performs perception by selecting to add the group having the maximum benefit; S2, a group leader trains and constructs a probabilistic suffix tree by utilizing a perception result and predicts the idle probability of the next time slot spectrum through the generated tree; S3, the group leader constructs a channel quality evaluation factor by utilizing the idle probability and sorts the reliabilities of multiple authorized channels in a descending manner; and S4, a dispatching unit distributes proper channels to coded hierarchical data according to a priority-reliability dispatching criterion. By means of the hierarchical matching method, the channel quality can be dynamically estimated in the time-varying cognitive wireless network; the perception delay is reduced; reliable channels can be effectively matched for hierarchical data; and the hierarchical matching method can be used for improving the link adaptation of hierarchical multimedia data in the cognitive wireless network.

Description

technical field [0001] The invention relates to the field of cognitive multimedia communication, in particular to a hierarchical matching method based on channel quality prediction in a cognitive radio network. Background technique [0002] The explosive growth of wireless multimedia services has made the problem of shortage of existing spectrum resources more and more serious, but there is a serious waste phenomenon in the existing wireless spectrum. In order to solve this problem, Cognitive Radio (CR) technology was developed, which allows cognitive users to opportunistically utilize idle spectrum resources, greatly improving spectrum utilization, and meeting the growing high-bandwidth requirements of multimedia. In cognitive wireless networks, cognitive users access in an opportunistic manner, and must sense the channel before accessing the channel to ensure that no interference is generated to authorized users. On the one hand, blind and frequent sensing will bring a lo...

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Problems solved by technology

[0004] In view of the deficiencies of the above existing technologies, the present invention aims to propose a layered matching method based on channel quality prediction in cognitive wireless networks, which solves the problem of insufficient variable-length Markov prediction ability in imperfect sensing scenarios through cooperative spectrum sensing To solve this problem, redefine the channel quality evaluation standard to predict channel quality, and quickly match reliable channels for hierarchical multimedia data according to channel quality, thereby reducing perception time consumption and improving multimedia transmission performance

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