Wireless communication technologies such as fifth generation mobile networks (5G) will not
only provide an increase of 1000 times in Internet traffic in the next decade but will also offer …

The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

In this paper, we investigate the model-driven deep learning (DL) for MIMO detection. In
particular, the MIMO detector is specially designed by unfolding an iterative algorithm and …

In this paper, we propose a model-driven deep learning network for multiple-input multiple-
output (MIMO) detection. The structure of the network is specially designed by unfolding the …

Existing communication systems exhibit inherent limitations in translating theory to practice
when handling the complexity of optimization for emerging wireless applications with high …

The design of codes for communicating reliably over a statistically well defined channel is an
important endeavor involving deep mathematical research and wide-ranging practical …

摘要第5 代移动通信(5G) 技术将为移动互联网的快速发展提供无所不在的基础性业务能力,
在满足未来10 年移动互联网流量增加1000 倍发展需求的同时, 为全行业 …

In this work, we consider the use of model-driven deep learning techniques for massive
multiple-input multiple-output (MIMO) detection. Compared with conventional MIMO …

This paper proposes a novel learning to learn method, called learning to learn iterative
search algorithm (LISA), for signal detection in a multi-input multi-output (MIMO) system. The …

In this paper, we introduce a reservoir computing (RC) structure, namely, windowed echo
state network (WESN), for multiple-input-multiple-output orthogonal frequency-division …