论文标题
使用旋转不变代码和基于GMM的聚类，NOMA联合通道估计和信号检测
NOMA Joint Channel Estimation and Signal Detection using Rotational Invariant Codes and GMM-based Clustering
论文作者
论文摘要
本文研究了上行链路功率域非正交多访问的联合通道估计和信号检测。所提出的技术同时执行检测和估计，而无需使用聚类技术来实现飞行符号。我们应用旋转不变的编码来协助接收器的信号检测，而无需发送飞行员符号。我们利用高斯混合模型（GMM）自动在没有监督的情况下自动聚集收到的信号并优化决策边界以提高位错误率（BER）性能。仿真结果表明，不使用任何飞行员符号的建议方案获得的BER性能几乎与传统的最大似然接收器具有完整的通道状态信息相同。
This paper studies the joint channel estimation and signal detection for the uplink power-domain non-orthogonal multiple access. The proposed technique performs both detection and estimation without the need of pilot symbols by using a clustering technique. We apply rotational-invariant coding to assist signal detection at the receiver without sending pilot symbols. We utilize Gaussian mixture model (GMM) to automatically cluster the received signals without supervision and optimize decision boundaries to improve the bit error rate (BER) performance. Simulation results show that the proposed scheme without using any pilot symbol achieves almost the same BER performance as that for the conventional maximum likelihood receiver with full channel state information.
