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MIMO System With Receive Combiner Bank and Power Control for Cognitive Radio Networks

机译:具有接收组合器组和功率控制的MIMO系统,用于认知无线电网络

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The multiple-input–multiple-output (MIMO) system with a receive combiner bank (MIMO-RCB), in which a bank of receive combiners is added before the decoding (or detecting) unit of the MIMO receiver for suppressing the cochannel interference, is applied to cognitive radio (CR) networks, and the variable-signal-to-interference-plus-noise-ratio (SINR)-target-based joint weight adjustment and power control (VST-JWAPC) algorithm is proposed for MIMO-RCB-based CR networks. Theoretical results and simulation results show that MIMO-RCB can suppress the cochannel interference from both the primary user (PU) and the secondary user (SU) to provide a significant SINR gain. The receive combining strategy that aims to minimize other-user interference plus noise outperforms previously introduced receive combining strategies in the SINR gain. In addition, we found from theory and simulation that the VST-JWAPC algorithm increases the achievable (minimal) SINR among all SUs while assuring the quality of service of each PU for each iteration. The VST-JWAPC algorithm outperforms the previously proposed fixed-target-based algorithms in the achievable SINR among all SUs.
机译:具有接收组合器组(MIMO-RCB)的多输入多输出(MIMO)系统,其中在MIMO接收机的解码(或检测)单元之前添加了一组接收组合器,以抑制同信道干扰,将其应用于认知无线电(CR)网络,并针对MIMO-RCB提出了基于可变信号与干扰加噪声比(SINR)目标的联合权重调整和功率控制(VST-JWAPC)算法基于CR的网络。理论结果和仿真结果表明,MIMO-RCB可以抑制来自主要用户(PU)和次要用户(SU)的同信道干扰,从而提供显着的SINR增益。旨在最小化其他用户干扰以及噪声性能优于先前引入的接收合​​并策略的SINR增益中的接收合并策略。此外,从理论和仿真中我们发现,VST-JWAPC算法可提高所有SU之间可实现的(最小)SINR,同时确保每次迭代的每个PU的服务质量。在所有SU中,VST-JWAPC算法在可实现的SINR中均优于先前提出的基于固定目标的算法。

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