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Throughput Maximization in Multi-User Cooperative Cognitive Radio Networks

机译:多用户协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(CCRN)中,通过建立合作传输,主要用户和次要用户互惠互利。但是,在大多数现有工作中,只有充当中继的SU才有机会访问主要用户的信道,如果中继的数据流量较小,则可能会浪费资源或降低吞吐量。在本文中,为了在充分利用协作传输的同时解决此问题,我们提出了一种新颖的GMLDF协作方案,以实现主发射机的多路径协作传输,并为所有次用户提供发送自己数据的机会。我们的理论分析和仿真结果可以验证所提出算法的有效性。

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