Low-resolution analog-to-digital converters (ADCs) simplify the design of millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO) basestations, but increase vulnerability to jamming attacks. As a remedy, we propose HERMIT (short for Hybrid jammER MITigation), a method that combines a hardware-friendly adaptive analog transform with a corresponding digital equalizer: The analog transform removes most of the jammer's energy prior to data conversion; the digital equalizer suppresses jammer residues while detecting the legitimate transmit data. We provide theoretical results that establish the optimal analog transform as a function of the user equipments' and the jammer's channels. Using simulations with mmWave channel models, we demonstrate the superiority of HERMIT compared both to purely digital jammer mitigation as well as to a recent hybrid method that mitigates jammer interference with a nonadaptive analog transform.
翻译:低分辨率模拟到数字转换器(ADCs)简化了毫米-波(mmWave)大型多用户多输出多输出基站的设计,但增加了干扰袭击的脆弱性。作为一种补救措施,我们建议使用HERMIT(混合干扰器减缩短),这种方法将硬件友好型适应性模拟变换与相应的数字平衡器结合起来:模拟变换在数据转换之前消除了干扰器的大部分能量;数字衡平器在探测合法传输数据的同时抑制干扰器残留物。我们提供了理论结果,将最佳模拟变换作为用户设备和干扰器频道的功能。我们利用毫米Wave频道模型模拟,展示了HERMMIT的优势,既与纯数字干扰器的减缓相比,也与最近的混合方法相比,后者可以减少干扰器干扰,与非适应性模拟变换相比。