Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems. This paper considers a non-orthogonal sparse code multiple access (SCMA) configuration for multiple-input multiple-output (MIMO) systems with recently proposed orthogonal time frequency space (OTFS) modulation. We develop a novel low-complexity yet effective customized Memory approximate message passing (AMP) algorithm for channel equalization and multi-user detection. Specifically, the proposed Memory AMP detector enjoys the sparsity of the channel matrix and only applies matrix-vector multiplications in each iteration for low-complexity. To alleviate the performance degradation caused by positive reinforcement problem in the iterative process, all the preceding messages are utilized to guarantee the orthogonality principle in Memory AMP detector. Simulation results are finally provided to illustrate the superiority of our Memory AMP detector over the existing solutions.
翻译:高效信号探测器对于实现大型通信系统令人满意的性能来说相当重要,但具有挑战性。本文认为,对于多个投入多输出(MIMO)系统,一个非垂直稀有代码多存(SCMA)配置,最近建议了正对流时间频率空间(OTFS)调制。我们开发了一种新型的低复杂但有效的内存近似电文传递算法,用于频道均衡和多用户检测。具体地说,拟议的内存AMP探测器享有频道矩阵的宽度,只对低复度的每次循环应用矩阵-矢量倍增。为缓解迭接过程中因积极加力问题造成的性能退化,所有先前的信息都被用于保证记忆AMP探测器中的反向性能原则。最终提供了模拟结果,以说明我们的内存AMP探测器优于现有解决方案。</s>