论文标题
分裂和征服：通过不精确期望最大化的一位MIMO-OFDM检测
Divide and Conquer: One-Bit MIMO-OFDM Detection by Inexact Expectation Maximization
论文作者
论文摘要
用于大规模多输入多输出（MIMO）实现的一位模拟转换器（ADC）在降低硬件成本和功耗方面具有很大的潜力。但是，量化引起的扭曲引起了巨大的挑战。在MIMO正交频率调制（OFDM）检测中，粗量化导致子载体之间的正交分离不适用，从而迫使我们处理一个问题大小很大的问题。在本文中，我们研究了一次性MIMO-OFDM检测的预期最大化方法（EM）方法。这个想法是要迭代地将子载体中的MIMO-OFDM检测问题解散。使用块坐标下降的透视图，我们描述了经典EM方法的不精确变体，以提供更灵活和计算高效的设计。提供了仿真结果，以说明EM启用的分裂和争夺策略的潜力。
Adopting one-bit analog-to-digital convertors (ADCs) for massive multiple-input multiple-output (MIMO) implementations has great potential in reducing the hardware cost and power consumption. However, distortions caused by quantization raise great challenges. In MIMO orthogonal frequency-division modulation (OFDM) detection, coarse quantization renders the orthogonal separation among subcarriers inapplicable, forcing us to deal with a problem that has a very large problem size. In this paper we study the expectation-maximization (EM) approach for one-bit MIMO-OFDM detection. The idea is to iteratively decouple the MIMO-OFDM detection problem among subcarriers. Using the perspective of block coordinate descent, we describe inexact variants of the classical EM method for providing more flexible and computationally efficient designs. Simulation results are provided to illustrate the potential of the divide-and-conquer strategy enabled by EM.
