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Krylov Subspace Method Based Low-Complexity MIMO Multi-User Receiver for Time-Variant Channels

机译:基于Krylov子空间方法的时变信道低复杂度MIMO多用户接收器

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We consider the uplink of a time-variant multiple-input-multiple-output (MIMO) multi-user (MU) multi-carrier (MC) code division multiple access (CDMA) system. The linear minimum mean square error (LMMSE) filters for channel estimation and multi-user detection at the receiver side require too high complexity to be implementable in a system operating in time-variant channels. We develop a low-complexity implementation of an LMMSE filter based on the Krylov subspace method. We are able to reduce the computational complexity by one order of magnitude. Furthermore, in a system with K users having N T transmit antennas, parallelization of the computations of the multi-user detector into KNT branches is achieved as well as considerable storage reduction. We discuss more specifically a fully loaded system (the number of subcarriers N is equal to the number of users K) with NT = 2 transmit antennas per user, NR = 4 receive antennas and K = N = 64
机译:我们考虑时变多输入多输出(MIMO)多用户(MU)多载波(MC)码分多址(CDMA)系统的上行链路。用于接收机侧的信道估计和多用户检测的线性最小均方误差(LMMSE)滤波器要求太高的复杂性,以致于无法在时变信道中运行的系统中实现。我们基于Krylov子空间方法开发了LMMSE滤波器的低复杂度实现。我们能够将计算复杂度降低一个数量级。此外,在具有K个用户的N个 T 发射天线的系统中,将多用户检测器的计算并行化为KN T 个分支,并显着减少了存储量。我们将更具体地讨论一个满载系统(子载波的数量N等于用户的数量K),其中每个用户N T = 2个发射天线,N R = 4个接收天线,K = N = 64

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