Multi-user Dynamic Spectrum Sharing Method in Cognitive Wireless Networks

Abstract

The invention discloses a multi-user dynamic spectrum sharing method for a cognitive radio network. The method comprises the steps of initializing an authorization user base station, calculating the direct transmission rate and the cooperation rate, comparing the direct transmission rate with the cooperation rate, establishing a gambling model, establishing a benefit matrix, carrying out Hungary matching, broadcasting matching information and direct transmission by authorized users. According to the method, the characteristics of the cognitive radio network are fully utilized, united gambling of the authorized users and cognitive users is carried out, and therefore the overall efficiency of the cognitive radio network is improved; the Hungary algorithm is utilized for carrying out matching on the authorized users and the cognitive users, and therefore the utilization rate of idle frequency bands is increased and the fairness of spectrum allocation is improved.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a multi-user dynamic frequency spectrum sharing method in the technical field of cognitive wireless network. On the premise of guaranteeing fairness, the present invention realizes the optimal spectrum allocation of multiple pairs of authorized users and cognitive users in the cognitive wireless network, and effectively improves the system energy efficiency of the cognitive wireless network. Background technique [0002] With the rapid growth of wireless communication service demands, the shortage of spectrum resources has become increasingly prominent. One of the main reasons is that under the traditional spectrum management policy, the fixed spectrum allocation system leads to low spectrum utilization. For this reason, the concept of cognitive radio is proposed. It can allow unlicensed users to enter the licensed frequency band, and dynamically use the licensed fr...

AI Technical Summary

Problems solved by technology

The disadvantages of this patent application are: firstly, the amount of free spectrum provided by authorized users in this method model is fixed and cannot be dynamically adjusted according to the state changes of authorized users

The deficiencies in this patent application are: first, when establishing the utility function, only the energy efficiency of authorized users is considered, cognitive users are in a state of passive selection, and the flexibility of network coexistence is poor

Second, the issue of fairness between licensed users and cognitive users in the spectrum sharing process is not considered

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