On complex LLL algorithm for integer forcing linear receivers

A. Sakzad, J. Harshan, E. Viterbo
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引用次数: 24

Abstract

Integer-forcing (IF) linear receiver has been recently introduced for multiple-input multiple-output (MIMO) fading channels. The receiver has to compute an integer linear combination of the symbols as a part of the decoding process. In particular, the integer coefficients have to be chosen based on the channel realizations, and the choice of such coefficients is known to determine the receiver performance. The original known solution of finding these integers was based on exhaustive search. A practical algorithm based on HKZ and Minkowski lattice reduction algorithms was also proposed recently. In this paper, we propose a low-complexity method to obtain the integer coefficients for the IF receiver. For the 2 × 2 MIMO channel, we study the effectiveness of the proposed method in terms of the ergodic rate. We also compare the bit error rate (BER) of our approach with that of other linear receivers, and show that the suggested algorithm outperforms the minimum mean square estimator (MMSE) and zero-forcing (ZF) linear receivers, but trades-off error performance for complexity in comparison with the IF receiver based on exhaustive search or on HKZ and Minkowski lattice reduction algorithms.
整数强迫线性接收机的复LLL算法
近年来,多输入多输出(MIMO)衰落信道中引入了整数强制线性接收机。作为解码过程的一部分,接收者必须计算符号的整数线性组合。特别是,必须根据信道实现选择整数系数,并且已知这些系数的选择决定了接收机的性能。最初已知的寻找这些整数的解是基于穷举搜索的。最近还提出了一种基于HKZ和Minkowski格约简算法的实用算法。本文提出了一种求解中频接收机整数系数的低复杂度方法。对于2 × 2 MIMO信道,我们从遍历率的角度研究了所提方法的有效性。我们还比较了我们的方法与其他线性接收器的误码率(BER),并表明所建议的算法优于最小均方估计器(MMSE)和零强迫(ZF)线性接收器,但与基于穷举搜索或HKZ和Minkowski格约简算法的中频接收器相比,折衷了错误性能的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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