25 citations · 27 across the 3 of their papers we have counts for
5 papers
Learning-Aided Short Code Design for ISAC based on MIMO-OFDM
Mingcheng Nie, Shuangyang Li, Geng Wang +5
This paper proposes a deep learning (DL)-based coded waveform design for integrated sensing and communications (ISAC), enabling flexible trade-offs between communication reliabilit…
Policy-Guided MCTS for near Maximum-Likelihood Decoding of Short Codes
Y. Tian, C. Yue, P. Cheng +3
In this paper, we propose a policy-guided Monte Carlo Tree Search (MCTS) decoder that achieves near maximum-likelihood decoding (MLD) performance for short block codes. The MCTS de…
Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization
Phu Lai, Wei Xiang, William Damario Lukito +4
Cell-free massive multiple-input multiple-output (CFmMIMO) coordinates a great number of distributed access points (APs) with central processing units (CPUs), effectively reducing…
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
Han Meng, Yuexing Peng, Wenbo Wang +3
This paper proposes a knowledge-and-data-driven graph neural network-based collaboration learning model for reliable aircraft recognition in a heterogeneous radar network. The airc…
Reinforcement learning for bandwidth estimation and congestion control in real-time communications
Joyce Fang, Martin Ellis, Bin Li +11
Bandwidth estimation and congestion control for real-time communications (i.e., audio and video conferencing) remains a difficult problem, despite many years of research. Achieving…