论文标题
基于预期最大化算法的大规模MIMO上行链路通信中相位噪声的补偿
Compensation of Phase Noise in Massive-MIMO Uplink Communications Based on Expectation-Maximization Algorithm
论文作者
论文摘要
相位噪声（PN）是MIMO系统中的主要干扰，在该系统中，发射器和接收器端的不同振荡器的贡献可能会降低整体性能并抵消MIMO技术所提供的收益。对于大量MIMO而言，这更为重要，因为PN来源的数量可能会大大增加。在这项工作中，我们根据期望最大化算法的应用提出了一个迭代接收器。我们考虑了与天线的振荡器一般关联的巨大MIMO框架，并包括其他通道干扰，例如不完美的通道状态信息和里奇亚式块褪色。在每个接收器迭代中，鉴于有关传输符号的信息，最陡的下降用于估计PN样品，具有优化的自适应步长和基于阈值的停止规则。几个测试用例获得的结果表明，位错误率和均方误差如何从建议的相检测算法中受益，甚至达到与不存在PN相同的性能的点，提供比最新替代方案更好的结果。对结果的进一步分析允许进行一些有用的权衡，以尊重最终绩效和资源消费。
Phase noise (PN) is a major disturbance in MIMO systems, where the contribution of different oscillators at the transmitter and the receiver side may degrade the overall performance and offset the gains offered by MIMO techniques. This is even more crucial in the case of massive MIMO, since the number of PN sources may increase considerably. In this work, we propose an iterative receiver based on the application of the expectation-maximization algorithm. We consider a massive MIMO framework with a general association of oscillators to antennas, and include other channel disturbances like imperfect channel state information and Rician block fading. At each receiver iteration, given the information on the transmitted symbols, steepest descent is used to estimate the PN samples, with an optimized adaptive step size and a threshold-based stopping rule. The results obtained for several test cases show how the bit error rate and mean square error can benefit from the proposed phase-detection algorithm, even to the point of reaching the same performance as in the case where no PN is present, offering better results than a state-of-the-art alternative. Further analysis of the results allow to draw some useful trade-offs respecting final performance and consumption of resources.
