Distributed cognition wireless network spectrum allocation method based on coalition games

Abstract

The invention discloses a distributed cognition wireless network spectrum allocation method based on coalition games. The problem that in the prior art, a cognition wireless network cannot fully use a totalization and whole and partial concept to allocate free frequency ranges is mainly solved. The method comprise the steps of detecting free frequency ranges, computing secondary user utility values, establishing stable coalition, selecting a coalition manager, merging data, refreshing secondary user trust values, allocating the free frequency ranges and refreshing the secondary user trust values. The method is fully combined with the advantages of the cognition wireless network, the trust values, participation values and requirement values are used to represent the utility values of a secondary user comprehensively, the secondary user satisfaction degree of the free frequency ranges and network service quality are improved, the secondary user is divided into the coalition to allocate spectrum resources, using ratio of the free frequency ranges and fairness of spectrum allocating are improved, and by refreshing the secondary user trust values, negative influence on a network from a vicious secondary user is lowered.

Description

technical field [0001] The invention belongs to the field of communication technology, and further relates to a method for allocating spectrum on demand based on alliance game in a distributed cognitive radio network in the field of cognitive wireless networks. According to the demand value, participation value, trust value of the secondary user and the physical attributes of the authorized frequency band, the present invention can dynamically adjust the probability of the secondary user obtaining the frequency spectrum in combination with the engineering optimization method and the alliance game method, so as to realize the spectrum resources of the cognitive wireless network Allocation and use are more flexible, efficient and fair. Background technique [0002] In recent years, due to the limitation of spectrum resources and most of the spectrum has been allocated to licensed users, today's spectrum resources are scarce. In fact, a large number of studies have shown that ...

AI Technical Summary

Problems solved by technology

The disadvantages of this patent application are: firstly, the clusters in the method model are static and cannot be dynamically adjusted according to the state changes of secondary users

The shortcomings of this patent application are: firstly, only the needs and bids of the secondary users are considered, but the credibility of the secondary users is not considered. The original intention of affecting primary user communication

Secondly, the demand function only considers the requirements of the secondary users for the amount of spectrum, and does not consider the differences in channel quality in actual use, which may lead to the phenomenon that the secondary users are allocated spectrum but unable to communicate. Finally, the spectrum allocation process is not considered The fairness problem of different sub-users in

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