230 citations · 1.9k across the 78 of their papers we have counts for
9 papers · 1 filter
Unsourced Random Massive Access with Beam-Space Tree Decoding
Jingze Che, Zhaoyang Zhang, Zhaohui Yang +3
The core requirement of massive Machine-Type Communication (mMTC) is to support reliable and fast access for an enormous number of machine-type devices (MTDs). In many practical ap…
C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction
Zhuoran Xiao, Zhaoyang Zhang, Chongwen Huang +3
In this paper, we aim to efficiently and accurately predict the static channel impulse response (CIR) with only the user's position information and a set of channel instances obtai…
Exploiting Simultaneous Low-Rank and Sparsity in Delay-Angular Domain for Millimeter-Wave/Terahertz Wideband Massive Access
Xiaodan Shao, Xiaoming Chen, Caijun Zhong +1
Millimeter-wave (mmW)/Terahertz (THz) wideband communication employing a large-scale antenna array is a promising technique of the sixth-generation (6G) wireless network for realiz…
An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation
Jiabao Gao, Mu Hu, Caijun Zhong +2
Channel estimation is one of the key issues in practical massive multiple-input multiple-output (MIMO) systems. Compared with conventional estimation algorithms, deep learning (DL)…
Wireless Powered Communication Networks with Non-Ideal Circuit Power Consumption
Slavche Pejoski, Zoran Hadzi-Velkov, Trung Q. Duong +1
Assuming non-ideal circuit power consumption at the energy harvesting (EH) nodes, we propose two practical protocols that optimize the performance of the harvest-then-transmit wire…
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling
Maojun Zhang, Guangxu Zhu, Shuai Wang +3
The popular federated edge learning (FEEL) framework allows privacy-preserving collaborative model training via frequent learning-updates exchange between edge devices and server.…