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Scalable Nonlinear Multiuser Detection for mmWave Massive MIMO

机译:mmWave Massive MIMO的可扩展非线性多用户检测

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We consider uplink multi-user reception for a mmWave picocell with a large number of base station antennas and a proportionally large number of users. Receiver complexity can become a bottleneck for scaling such a system, necessitating development of more computationally efficient algorithms. Due to the spatial sparsity of mmWave channels, transforming the received signal into beamspace concentrates the power of each user into a small number of dimensions. Our prior work takes advantage of this fact to develop a local LMMSE estimator that relies on a small window of the beamspace signal for demodulating each user’s signal. In this paper, we propose to layer nonlinear interference cancellation on top of the local LMMSE receiver: while most interference is suppressed linearly by the local LMMSE receiver, for each user, a small number of strongly interfering users are handled by interference cancellation after suitably whitening the local LMMSE output. The method provides reliable demodulation at higher load factor (defined as number of users divided by the number of antennas) than enabled by linear interference suppression alone, at order of magnitude lower complexity than standard interference cancellation.
机译:我们考虑具有大量基站天线和成比例的大量用户的mmWave微微小区的上行链路多用户接收。接收器复杂性可能成为扩展此类系统的瓶颈,因此需要开发计算效率更高的算法。由于毫米波信道的空间稀疏性,将接收到的信号转换为波束空间会将每个用户的力量集中在少数几个维度上。我们先前的工作利用这一事实开发了一个本地LMMSE估计器,该估计器依赖于波束空间信号的一小窗口来解调每个用户的信号。在本文中,我们建议在本地LMMSE接收器的顶部分层非线性干扰消除:尽管大多数干扰被本地LMMSE接收器线性抑制,但是对于每个用户,在经过适当的白化之后,通过干扰消除可以处理少量强烈干扰的用户本地LMMSE输出。与仅通过线性干扰抑制相比,该方法可以在更高的负载因子(定义为用户数量除以天线数量)下提供可靠的解调,其复杂度要比标准干扰消除的数量级低。

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