Resource allocation method for cognitive system based on space multiplexing

Abstract

The invention discloses a resource allocation method for a cognitive system based on space multiplexing. In the method, the F norm of a channel matrix is used to select a cognitive user so as to obtain a multi-user diversity gain of a cognitive network, a double-selection mode is used to lower the complexity of the algorithm, transmitted signals of the cognitive users are projected to a null space of an interference channel so as to avoid the interference of the cognitive user on an authorized user, the channel matrix of the cognitive user is converted into a concurrent independent channel by using a singular-value decomposition method, and the system capacity is enlarged by using a water-filling power allocation method. In a word, by using the multi-user diversity gain of the cognitive network, the method simplifies the user selection method and improves the system performance under the condition of acceptable computation complexity.

Description

Technical field: [0001] The invention relates to the field of wireless communication, and relates to a method for allocating space resources in a cognitive system, in particular to a method for allocating resources in a cognitive system based on space multiplexing. Background technique: [0002] Cognitive radio technology can significantly improve the spectrum efficiency of wireless communication systems and solve the contradiction between the scarcity of spectrum resources and low spectrum utilization, which has become a research hotspot in recent years. The discontinuity of time and space used by the existing spectrum registration network for the allocated spectrum makes most of the licensed frequency bands not fully utilized in time and space. Therefore, the cognitive radio network realizes dynamic spectrum access through opportunity sharing, which can share the spectrum with the licensed system without changing the protocol of the original licensed system and without aff...

AI Technical Summary

Problems solved by technology

It is difficult to consider these three issues at the same time in the current methods. Some methods comprehensively consider the two aspects of avoiding interference and reducing algorithm complexity, and give the idea that there is only one single-antenna authorized user, and the cognitive user channel is multiple The channel allocation and the closed-form solution of the correlation matrix of the transmitted signal when the input is single output (MISO); for the case where the cognitive user is multiple input and multiple output (MIMO), the direct singular value decomposition (D-SVD) and the mapped singular value are given Decomposition (P-SVD) and Hybrid Singular Value Decomposition (H-SVD) three suboptimal algorithms, and then extend these results to the case of multiple single-antenna licensed users in the network

However, there is no discussion on the more common situation of multiple cognitive users in the network, and the multi-user diversity of the cognitive network has not been obtained, which has caused a certain loss to the capacity of the cognitive network.

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