论文标题
用于空间相关的大型MIMO系统的干扰式上行链路传输
Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems
论文作者
论文摘要
在本文中，我们考虑如何保护与空间相关的大量多输入多出输出（MIMO）系统的上行链路传输免受阻塞攻击。为了抑制干扰，我们提出了一个新的框架，其中包括训练阶段中新的最佳线性估计器和在数据阶段的双线性均衡器。提出的估计器在最大化干扰器攻击的合法系统的光谱效率方面是最佳的，其实现需要有关干扰器渠道的统计知识。我们得出了一种有效的算法，以估计实施该框架所需的干扰信息。此外，我们证明，无论干扰功率优化如何，合法用户的优化功率分配都可以提高提议的框架的性能。我们提出的框架可以被利用，以在合法用户和干扰器中使用理想或非理想硬件的场景中打击。数值结果表明，使用建议的框架，干扰器不能显着影响合法系统的性能。
In this paper, we consider how the uplink transmission of a spatially correlated massive multiple-input multiple-output (MIMO) system can be protected from a jamming attack. To suppress the jamming, we propose a novel framework including a new optimal linear estimator in the training phase and a bilinear equalizer in the data phase. The proposed estimator is optimal in the sense of maximizing the spectral efficiency of the legitimate system attacked by a jammer, and its implementation needs statistical knowledge about the jammer's channel. We derive an efficient algorithm to estimate the jamming information needed for the implementation of the proposed framework. Furthermore, we demonstrate that optimized power allocation at the legitimate users can improve the performance of the proposed framework regardless of the jamming power optimization. Our proposed framework can be exploited to combat jamming in scenarios with either ideal or non-ideal hardware at the legitimate users and the jammer. Numerical results reveal that using the proposed framework, the jammer cannot dramatically affect the performance of the legitimate system.
