502 citations · 698 across the 7 of their papers we have counts for
7 papers
Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules
Jialong Xu, Bo Ai, Wei Chen +3
Recent research on joint source channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL). However, the existing wo…
Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive IoT Access
Yikun Mei, Zhen Gao, Yongpeng Wu +4
Massive machine-type communications (mMTC) are poised to provide ubiquitous connectivity for billions of Internet-of-Things (IoT) devices. However, the required low-latency massive…
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth
Wei Chen, Bowen Zhang, Shi Jin +2
Sparse signal recovery problems from noisy linear measurements appear in many areas of wireless communications. In recent years, deep learning (DL) based approaches have attracted…
Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing
Xin Ding, Wei Chen, Ian J. Wassell
Tensor Compressive Sensing (TCS) is a multidimensional framework of Compressive Sensing (CS), and it is advantageous in terms of reducing the amount of storage, easing hardware imp…
On the Energy Self-Sustainability of IoT via Distributed Compressed Sensing
Wei Chen, Nikos Deligiannis, Yiannis Andreopoulos +1
This paper advocates the use of the distributed compressed sensing (DCS) paradigm to deploy energy harvesting (EH) Internet of Thing (IoT) devices for energy self-sustainability. W…
Towards Energy Neutrality in Energy Harvesting Wireless Sensor Networks: A Case for Distributed Compressive Sensing?
Wei Chen, Yiannis Andreopoulos, Ian J. Wassell +1
This paper advocates the use of the emerging distributed compressive sensing (DCS) paradigm in order to deploy energy harvesting (EH) wireless sensor networks (WSN) with practical…
Projection Design For Statistical Compressive Sensing: A Tight Frame Based Approach
Wei Chen, Miguel R. D. Rodrigues, Ian Wassell
In this paper, we develop a framework to design sensing matrices for compressive sensing applications that lead to good mean squared error (MSE) performance subject to sensing cost…