Cognitive wireless network spectrum sensing and access decision combined optimization method

Abstract

The invention relates to the field of optimization of a cognitive wireless network spectrum and provides a cognitive wireless network spectrum sensing and access decision combined optimization method. Secondary users decide whether to participate in sensing according to the possibly obtained handling capacity; the secondary users deciding to participate in sensing are subjected to spectrum sensing, a local sensing result is obtained, and the local sensing result is uploaded to a fusion center according to the sequence of linklihood ratios; the fusion center decides whether a primary user occupies a channel or not according to a decision criterion; the secondary users decide whether to have access to the channel according to the decision criterion and the possibly obtained handling capacity; when the proportionate growth rate of the secondary users participating in sensing and the proportionate growth rate of the secondary users having access to the channel tend to be stable, the proportion of the secondary users participating in sensing and the proportion of the secondary users having access to the channel are obtained. On the basis of evolutionary game, the spectrum sensing and access are combined, the sensing and access proportions of the secondary users are dynamically adjusted, the balanced state is achieved finally, and the system performance of the system is optimized.

Description

technical field [0001] The invention relates to the field of spectrum optimization of cognitive radio networks, in particular to an optimization method for joint spectrum sensing and access decision-making of cognitive radio networks. Background technique [0002] With the development of wireless communication and the improvement of user requirements, it is extremely important to use spectrum resources effectively. The current common spectrum management method is that even if the primary user (PU for short) does not use the licensed frequency band, the secondary user (SU for short) cannot use the frequency band, which greatly reduces the utilization rate of the spectrum. [0003] In order to solve this contradiction, people put forward the Cognitive Radio (CR) technology. Secondary users perceive idle frequency bands through spectrum sensing, and make full use of spectrum resources without affecting the communication of primary users. After the sensing is completed, the sec...

AI Technical Summary

Problems solved by technology

[0006] It can be found that such a collaborative spectrum sensing method has the following problems: 1) When a secondary user uploads the sensing result, other secondary users do not perform any operations until it is their turn to upload, resulting in a waste of a lot of upload time slots

2) When the number of perceived secondary users reaches a certain number, a lower false alarm probability can be obtained, and when more than this number of secondary users participate in sensing, a lot of energy will be wasted; 3) In the access phase, when too many Many secondary users access the channel, making the channel very congested, resulting in lower throughput

[0007] Although many spectrum sensing methods and dynamic access algorithms have been proposed to improve the opportunities for secondary users to use the spectrum resources of primary users, based on existing spectrum sensing and access technologies, they mainly focus on both spectrum sensing and dynamic access. Separate research, either unilaterally optimize spectrum sensing performance without considering the impact of spectrum access, or design a spectrum access algorithm without considering the impact of spectrum sensing, for example: A.Ghasemi and E.S.Sousa.Collaborative spectrum sensing for opportunistic access in fading environments[C].In Proc.2005IEEE DySPAN,pp.131–136; Yang L,Kim H,Zhang J S,et al.Pricing-based decentralized spectrum access control in cognitive radio networks[J].IEEE / ACM Transactions on Networking(TON),2013,21(2):522-535

That is to say, the existing technology basically does not combine spectrum sensing and dynamic access to consider the interaction between spectrum sensing and access algorithms

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