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User Selection Criteria for Multiuser Systems With Optimal and Suboptimal LR Based Detectors

机译:具有基于LR的最优和次优检测器的多用户系统的用户选择标准

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摘要

In this correspondence, we investigate user selection criteria for various multiple input multiple output (MIMO) detectors to exploit the multiuser diversity. Different user selection criteria are derived for various MIMO detectors, including the maximum likelihood (ML) detector and low complexity suboptimal detectors. It is shown that the user selection criterion plays a crucial role in exploiting both multiuser and receive (or spatial) diversity. We also show that the ML and even some low complexity suboptimal detectors (based on the lattice reduction (LR)) can achieve a full multiuser and receive diversity when the user selection criterion is properly chosen.
机译:在这种对应关系中,我们调查了各种多输入多输出(MIMO)检测器的用户选择标准,以利用多用户分集。对于各种MIMO检测器,得出了不同的用户选择标准,包括最大似然(ML)检测器和低复杂度次优检测器。结果表明,用户选择标准在利用多用户和接收(或空间)多样性方面都起着至关重要的作用。我们还显示,当正确选择用户选择标准时,ML甚至某些低复杂度的次优检测器(基于晶格缩减(LR))都可以实现完整的多用户并接收分集。

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