Multicast transmission combined access control and precoding computing method in cognitive wireless network

Abstract

The invention provides a multicast transmission combined access control and precoding computing method in a cognitive wireless network. The method comprises the steps that resource information of a cognitive base station and user information of a multicast service expected to be received are collected so as to build a problem model of multi-antenna multi-description-coding multicast service access control and precoding matrixes in the cognitive scene; the precoding matrixes in the problem model are fixed so as to compute a target transmission user set in each multicast set; the problem model is modified to obtain a modified model, the target transmission rate in the modified model is fixed, and the modified model is solved through positive semidefinite relaxation and a precoding matrix randomized algorithm based on power factor scaling, so that the precoding matrixes are computed; the modified model is solved in an iteration mode through the computed precoding matrixes, so that iterated precoding matrixes and the iterated target transmission rate are obtained. According to the multicast transmission combined access control and precoding computing method in the cognitive wireless network, cognitive wireless network acquirable benefits are maximized, and mathematical modeling and algorithm design for problems are completed.

Description

technical field [0001] The invention belongs to the technical field of wireless communication data transmission, in particular to a multicast transmission joint access control and precoding calculation method in a cognitive wireless network. Background technique [0002] With the popularization of multimedia services, multicast transmission has become an indispensable part of wireless communication networks. How to design a resource-efficient multicast transmission scheme has attracted great attention from academia and industry. [0003] With the popularization of multimedia services, the multicast transmission technology has also attracted the attention of the industry. Because it can serve multiple users simultaneously in one transmission, multicast technology can effectively improve the utilization efficiency of network resources. However, in multicast transmission, the geographical distribution of receiving users is discrete, and their receiving channel conditions and h...

AI Technical Summary

Problems solved by technology

[0010] (1), only applicable to non-cognitive wireless networks, without modeling primary user interference, the proposed algorithm cannot be applied to cognitive wireless networks

[0011] (2) It is only applicable to traditional multicast networks, and the proposed algorithm cannot be applied to multi-description coding multicast networks

[0012] (3), only considering the precoding matrix calculation of a given multicast service, not considering the service access problem

[0013] (4) The performance of the proposed precoding matrix calculation method is poor and needs to be further improved

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