Multi-channel perceptual sequence optimizing method on basis of Markov prediction in distributive cognitive radio network

Abstract

The invention discloses a multi-channel perceptual sequence optimizing method on the basis of Markov prediction in a distributive cognitive radio network. The method comprises the following steps of: under the limitation condition that a cognitive network has a plurality of opportunistic access authorization channels and a primary user can only sense and access to one channel, estimating the available probability of each channel on the basis of the Markov prediction, optionally selecting the channel with relatively high available probability to sense, and according to a sensing result, determining whether to access to the channel to transmit data or not; and under the condition that a plurality of primary users access to the cognitive network simultaneously, providing a frequency domain sensing window adjusting strategy, so that the collision probability among the primary users is reduced. By the method, the primary users can quickly sense the available channels to transmit data, the sensing times of the primary users are reduced, the sensing efficiency of the primary users and the throughput of the cognitive network are improved, and energy is saved for the primary users. A simulation result shows that when the statistical information of the authorization channels is different, compared with the strategy of randomly selecting the sensing channel, the method can obviously improve the sensing efficiency of the primary users and the throughput of the cognitive network.

Description

Technical field: [0001] The invention belongs to a channel sensing mechanism in a cognitive network in the technical field of wireless communication, and in particular relates to a multi-channel sensing sequence optimization method based on Markov prediction. Background technique: [0002] In the past two decades, with the rapid development and wide application of wireless communication technology, it has greatly promoted the development of society and economy, and changed people's way of life. With the development of society and the improvement of people's living standards, people's demand for wireless communication is increasing day by day. With the rapid growth of wireless communication services, wireless spectrum resources are increasingly scarce; however, actual measurement data show that the allocated spectrum is not fully utilized most of the time or in regions. In order to improve spectrum utilization and alleviate the contradiction between relative scarcity and abs...

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Problems solved by technology

This raises the problem of sensing order. The traditional sensing mechanism is to randomly select the sensing channel or sense according to a predetermined logical order. Both of these sensing orders may cause the secondary user to perform many times before finding an available channel. The channel sensing reduces the sensing efficiency and consumes the energy of the secondary user; especially under the condition that the secondary user cannot sense continuously and can only sense once per time slot, it will lead to a decline in the throughput of the cognitive network

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