590 citations · 2.4k across the 96 of their papers we have counts for
9 papers · 1 filter
Optimization of Grant-Free NOMA with Multiple Configured-Grants for mURLLC
Yan Liu, Yansha Deng, Maged Elkashlan +2
Massive Ultra-Reliable and Low-Latency Communications (mURLLC), which integrates URLLC with massive access, is emerging as a new and important service class in the next generation…
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT
Shunpu Tang, Lunyuan Chen, Ke HeJunjuan Xia +2
In this paper, we investigate how to deploy computational intelligence and deep learning (DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can collabora…
Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G
Zhenyu Xiao, Zhu Han, Arumugam Nallanathan +5
Antenna arrays have a long history of more than 100 years and have evolved closely with the development of electronic and information technologies, playing an indispensable role in…
STAR-RIS Aided NOMA in Multi-Cell Networks: A General Analytical Framework with Gamma Distributed Channel Modeling
Ziyi Xie, Wenqiang Yi, Xuanli Wu +2
The simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is capable of providing full-space coverage of smart radio environments. This work inve…
Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems
Shunpu Tang, Junjuan Xia, Lisheng Fan +3
Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) system can offer high spectral and energy efficiency, it requires to feedback the downlin…
AoA-Based Pilot Assignment in Massive MIMO Systems Using Deep Reinforcement Learning
Yasaman Omid, Seyed MohammadReza Hosseini, Seyyed MohammadMahdi Shahabi +2
In this paper, the problem of pilot contamination in a multi-cell massive multiple input multiple output (M-MIMO) system is addressed using deep reinforcement learning (DRL). To th…