Turbo message passing based burst interference cancellation for data detection in massive MIMO-OFDM systems

Wenjun Jiang, Zhihao Ou, Xiaojun Yuan, Li Wang
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Abstract

This paper investigates the fundamental data detection problem with burst interference in massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. In particular, burst interference may occur only on data symbols but not on pilot symbols, which means that interference information cannot be premeasured. To cancel the burst interference, we first revisit the uplink multi-user system and develop a matrixform system model, where the covariance pattern and the low-rank property of the interference matrix is discussed. Then, we propose a turbo message passing based burst interference cancellation (TMP-BIC) algorithm to solve the data detection problem, where the constellation information of target data is fully exploited to refine its estimate. Furthermore, in the TMP-BIC algorithm, we design one module to cope with the interference matrix by exploiting its lowrank property. Numerical results demonstrate that the proposed algorithm can effectively mitigate the adverse effects of burst interference and approach the interference-free bound.
基于突发干扰消除的涡轮信息传递,用于大规模 MIMO-OFDM 系统中的数据检测
本文研究了大规模多输入多输出正交频分复用(MIMO-OFDM)系统中突发干扰的基本数据检测问题。特别是,突发干扰可能只发生在数据符号上,而不发生在先导符号上,这意味着干扰信息无法预先测量。为了消除突发干扰,我们首先重新审视了上行多用户系统,并建立了一个矩阵式系统模型,其中讨论了干扰矩阵的协方差模式和低秩属性。然后,我们提出了一种基于突发干扰消除的涡轮信息传递算法(TMP-BIC)来解决数据检测问题,该算法充分利用目标数据的星座信息来完善其估计值。此外,在 TMP-BIC 算法中,我们利用干扰矩阵的低秩特性设计了一个模块来处理干扰矩阵。数值结果表明,所提出的算法能有效缓解突发干扰的不利影响,并接近无干扰边界。
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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