Abstract The Internet of Things (IoT) requires a new processing model that will allow
scalability in cloud computing while reducing time delay caused by data transmission within …

Spectrum sensing in cognitive radio (CR) paradigm can be broadly categorized as analytical-
based and data-driven approaches. The former is sensitive to model inaccuracies in …

Bearings are an essential component of rotating mechanical equipment. Traditional signal
processing-based fault diagnosis methods usually require a massive labeled data for …

This paper reformulates a worst-case sum-rate maximization problem for optimizing robust
multi-user multiple-input multiple-output (MU-MIMO) downlink precoding under realistic per …

With the advances in wireless communications towards beyond 5G (B5G) and 6G networks,
new signal processing and resource management methods need to be explored to …

In trainable wireless communications systems, the use of deep learning for over-the-air
training aims to address the discontinuity in backpropagation learning caused by the …

RF fingerprints can be used for device identification and network access authentication. An
RF fingerprint extraction and device identification algorithm based on multi-scale fractal …

While fifth-generation wireless communication system (5G) implementation is an ongoing
process and many devices are coming up that support 5G, the next generation of …

针对现阶段大规模MIMO 系统中基于深度学习的信道状态信息(CSI) 反馈算法待训练参数过多,
可解释性不强的问题, 提出了2 种基于深度展开的CSI 反馈算法. 一种是基于可学习参数的近似 …

Multiple-input multiple-output (MIMO) is a key ingredient of next-generation wireless
communications. Recently, various MIMO signal detectors based on deep learning …