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Towards Characterizing the Performance of Approximate Lattice Decoding in MIMO Communications

机译:旨在在MIMO通信中表征近似格子解码的性能

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Approximate lattice decoding offers an excellent tradeoff between error performance and computational complexity for multi-input multi-output (MIMO) communication. However, its remarkable performance largely remains a mystery to date. This paper takes a step towards analytically characterizing its performance. To this aim, we define the proximity factors of approximate lattice decoding, which measure the gap to maximum-likelihood (ML) decoding in signal-to-noise ratio (SNR) for given error rate. The proximity factors are derived and found to be bounded above by a function of the dimension of the lattice alone. As a direct consequence, it follows that lattice decoding can always achieve full diversity of MIMO fading channels.
机译:近似格子解码提供了多输入多输出(MIMO)通信的误差性能和计算复杂性之间的出色权衡。 然而,其显着性能在很大程度上仍然是迄今为止的谜。 本文迈出了分析其性能的步骤。 为此目的,我们定义了近似晶格解码的接近因素,其测量对给定误差率的信噪比(SNR)中的最大似然(ML)解码的间隙。 衍生邻近因子,发现通过单独的晶格的尺寸的函数界定在上面。 作为直接后果,晶格解码可以始终实现MIMO衰落通道的全部多样性。

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