论文标题
基于速率拆分的MU-MIMO系统的强大自适应功率分配技术的研究
Study of Robust Adaptive Power Allocation Techniques for Rate Splitting based MU-MIMO systems
论文作者
论文摘要
与传统方法相比，在发射机（CSIT）处的速率分割（RS）系统可以更好地处理不完美的通道状态信息。但是，这需要适当的电源分配，通常具有很高的计算复杂性，这对于实用和大型系统可能不足。为此，自适应功率分配技术可以以低计算成本提供良好的性能。这项工作介绍了针对基于RS的多源多输入多输出（MU-MIMO）系统的新型鲁棒和自适应分配技术。特别是，我们基于随机梯度学习以及RS系统的传输符号和接收信号之间的均方误差的最小化开发了强大的自适应分配。提出的强大功率分配策略结合了有关通道误差方差的知识，以处理不确定性的情况下不完美的CSIT并调整功率水平。提供了对拟议功率分配算法的凸度和稳定性的分析，以及对它们的计算复杂性和有关功率分配策略的理论界限的研究。数值结果表明，在不完美的CSIT下，具有自适应功率分配的RS系统的总和优于RS和常规MU-MIMO系统。 ％\ vspace {-0.75EM}
Rate splitting (RS) systems can better deal with imperfect channel state information at the transmitter (CSIT) than conventional approaches. However, this requires an appropriate power allocation that often has a high computational complexity, which might be inadequate for practical and large systems. To this end, adaptive power allocation techniques can provide good performance with low computational cost. This work presents novel robust and adaptive power allocation technique for RS-based multiuser multiple-input multiple-output (MU-MIMO) systems. In particular, we develop a robust adaptive power allocation based on stochastic gradient learning and the minimization of the mean-square error between the transmitted symbols of the RS system and the received signal. The proposed robust power allocation strategy incorporates knowledge of the variance of the channel errors to deal with imperfect CSIT and adjust power levels in the presence of uncertainty. An analysis of the convexity and stability of the proposed power allocation algorithms is provided, together with a study of their computational complexity and theoretical bounds relating the power allocation strategies. Numerical results show that the sum-rate of an RS system with adaptive power allocation outperforms RS and conventional MU-MIMO systems under imperfect CSIT. %\vspace{-0.75em}
