标题： 具有低分辨率ADC的功率高效混合MIMO接收器的任务相关鲁棒波束成形 显示英文标题

标题： Robust Task-Specific Beamforming with Low-Resolution ADCs for Power-Efficient Hybrid MIMO Receivers

摘要： 多输入多输出（MIMO）系统利用空间分集，通过波束成形实现具有高频谱效率的多用户通信。由于MIMO系统使用多个天线和射频（RF）链路，通常实施成本高昂且耗电量大。一种常见的降低MIMO接收器成本的方法是通过采用混合模拟/数字波束成形（HBF），使用少于天线数量的RF链路。然而，增加的模拟电路涉及消耗功率的有源组件，其消耗的功率可能超过在减少RF链路时节省的功率。另一种实现节能MIMO系统的额外方法是使用低分辨率模数转换器（ADC），这通常会损害信号恢复精度。 在这项工作中，我们提出了一种节能的混合MIMO接收器，该接收器使用低量化率ADC，并通过以硬件为导向的方式联合优化模拟和数字处理，使用任务特定的量化技术。为了减轻模拟前端的功耗，我们利用高效的模拟硬件架构，包括稀疏低分辨率矢量调制器，并考虑其特性以保持恢复精度并在拥挤环境中减轻干扰。为了解决由非理想硬件引起的常见失配以及不准确的信道状态信息，我们提出了鲁棒的失配感知设计。通过数值仿真和功耗分析，我们的节能MIMO接收器在信号恢复性能上与使用高分辨率ADC的耗电全数字MIMO接收器相当。此外，在较低功耗下，我们的接收器在恢复精度方面优于任务无关的HBF接收器，并成功应对了硬件失配问题。 显示英文摘要

摘要： Multiple-input multiple-output (MIMO) systems exploit spatial diversity to facilitate multi-user communications with high spectral efficiency by beamforming. As MIMO systems utilize multiple antennas and radio frequency (RF) chains, they are typically costly to implement and consume high power. A common method to reduce the cost of MIMO receivers is utilizing less RF chains than antennas by employing hybrid analog/digital beamforming (HBF). However, the added analog circuitry involves active components whose consumed power may surpass that saved in RF chain reduction. An additional method to realize power-efficient MIMO systems is to use low-resolution analog-to-digital converters (ADCs), which typically compromises signal recovery accuracy. In this work, we propose a power-efficient hybrid MIMO receiver with low-quantization rate ADCs, by jointly optimizing the analog and digital processing in a hardware-oriented manner using task-specific quantization techniques. To mitigate power consumption on the analog front-end, we utilize efficient analog hardware architecture comprised of sparse low-resolution vector modulators, while accounting for their properties in design to maintain recovery accuracy and mitigate interferers in congested environments. To account for common mismatches induced by non-ideal hardware and inaccurate channel state information, we propose a robust mismatch aware design. Supported by numerical simulations and power analysis, our power-efficient MIMO receiver achieves comparable signal recovery performance to power-hungry fully-digital MIMO receivers using high-resolution ADCs. Furthermore, our receiver outperforms the task-agnostic HBF receivers with low-rate ADCs in recovery accuracy at lower power and successfully copes with hardware mismatches.