袁晓军教授学术讲座

讲座题目：Blind Multiuser Detection in Sparse Massive MIMO channels（稀疏大容量MIMO信道中的盲多用户检测）

摘要：In practical massive MIMO systems, a substantial portion of system resources are consumed to acquire channel state information (CSI), leading to a drastically lower system capacity compared with the ideal case where perfect CSI is available. In this work, we show that the overhead for CSI acquisition can be largely compensated by the potential gain due to the sparsity of the massive MIMO channel in a certain transformed domain. To this end, we propose a novel blind detection scheme that simultaneously estimates the channel and data by factorizing the received signal matrix in the angular domain. We show that by exploiting the channel sparsity, our proposed scheme can achieve a DoF very close to the ideal case, provided that the channel is sufficiently sparse. Specifically, the achievable degree of freedom (DoF) has a fractional gap of only 1/T from the ideal DoF, where T is the channel coherence time. This is a remarkable advance for understanding the performance limit of the massive MIMO system. We further show that the performance advantage of our proposed scheme in the asymptotic SNR regime carries over to the practical SNR regime. Numerical results demonstrate that our proposed scheme significantly outperforms its counterpart schemes in the practical SNR regime under various system configurations. 

讲座时间：2018年11月12日下午2:30

讲座地点：东区教学楼 E1A112报告厅

袁晓军教授简介：

袁晓军，香港城市大学电子工程系博士, 夏威夷大学马诺分校访问学者，电子科技大学通信抗干扰技术国家级重点实验室教授/博导，IEEE资深会员、中国电子学会资深会员，国际期刊 IEEE TCOM和IEEE TWC编辑。获得第十二届国家青年千人的基金项目资助。

袁教授致力于统计信号处理、信息论以及机器学习的前沿基础研究,取得了系统性研究成果,并获得了世界同行专家的广泛认可。目前已发表学术论文130余篇,其中在信息和信号处理领域IEEE期刊上发表60余篇,在国际会议上发表60余篇。2014年获得国际通信领域顶级会议IEEE ICC的最佳论文奖，2017年获得IEEE TCGCC最佳期刊论文奖。多次担任IEEE信息与通信领域主流国际会议的技术委员会委员。

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信息科学与技术学院

2018年11月6日