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Throughput Maximization in Multi-User Cooperative Cognitive Radio Networks

机译:多用户合作认知无线电网络中的吞吐量最大化

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In Cooperative Cognitive Radio Networks (CCRNs), primary users and secondary users are mutual beneficial through setting up cooperative transmission. But, in most of the existing work, only the SUs working as the relays can have the opportunities to access primary users' channel, which may incur a waste of resource or a throughput reduction if the relays have light data traffic. In this paper, to tackle this issue while fully exploiting cooperative transmission, we propose a novel scheme GMLDF-Cooperation to achieve multi-path cooperation transmission of primary transmitters and provide all secondary users with a chance to send their own data. Our theoretical analysis and simulation results can validate the effectiveness of the proposed algorithm.
机译:在合作认知无线电网络(CCRNS)中,主要用户和辅助用户通过建立协作传输是互利的。但是,在大多数现有的工作中,只有在继电器时才有机会访问主用户的通道,这可能会浪费资源或如果继电器具有光数据流量,则可能会浪费资源或吞吐量。在本文中,为了充分利用合作传播的同时解决这个问题,我们提出了一种新颖的计划GMLDF合作,实现了初级发射器的多路径合作传输,并为所有辅助用户提供了发送自己的数据。我们的理论分析和仿真结果可以验证所提出的算法的有效性。

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