19 citations · 52 across the 19 of their papers we have counts for
24 papers
Channel Estimation for OFDM via Delay-Doppler Refinement
Mingcheng Nie, Hao Chang, Xiaoqi Zhang +4
In this paper, we propose a novel channel estimation (CE) algorithm for orthogonal frequency division multiplexing (OFDM) systems that exploits the unique characteristics of the de…
Graph Neural Network-based End-to-End Learning for Multi-User MIMO Systems
Hao Chang, Hoang Triet Vo, Alva Kosasih +2
End-to-end (E2E) learning has recently been proposed to jointly design the modulator and symbol detector by using deep neural networks (DNNs). However, existing schemes lack suffic…
Graph-based Untrained Neural Network Detector for OTFS Systems
Hao Chang, Branka Vucetic, Wibowo Hardjawana
Inter-carrier interference (ICI) caused by mobile reflectors significantly degrades the conventional orthogonal frequency division multiplexing (OFDM) performance in high-mobility…
Opportunistic Scheduling Using Statistical Information of Wireless Channels
Zhouyou Gu, Wibowo Hardjawana, Branka Vucetic
This paper considers opportunistic scheduler (OS) design using statistical channel state information~(CSI). We apply max-weight schedulers (MWSs) to maximize a utility function of…
Graph Representation Learning for Contention and Interference Management in Wireless Networks
Zhouyou Gu, Branka Vucetic, Kishore Chikkam +2
Restricted access window (RAW) in Wi-Fi 802.11ah networks manages contention and interference by grouping users and allocating periodic time slots for each group's transmissions. W…
Untrained Neural Network based Bayesian Detector for OTFS Modulation Systems
Hao Chang, Alva Kosasih, Wibowo Hardjawana +2
The orthogonal time frequency space (OTFS) symbol detector design for high mobility communication scenarios has received numerous attention lately. Current state-of-the-art OTFS de…