22 citations · 22 across the 2 of their papers we have counts for
4 papers
ResLearn-XR: Residual Learning for Network Traffic and Quality-of-Experience-Aware Modeling in Extended Reality
Yoga Suhas Kuruba Manjunath, Jie Gao, Lian Zhao
We present ResLearn-XR, a residual learning framework for predicting eXtended Reality (XR) network traffic and estimating Quality-of-Experience (QoE) risk. ResLearn-XR adopts a two…
Training Beam Design for Channel Estimation in Hybrid mmWave MIMO Systems
Xiaochun Ge, Wenqian Shen, Chengwen Xing +2
Training beam design for channel estimation with infinite-resolution and low-resolution phase shifters (PSs) in hybrid analog-digital milimeter wave (mmWave) massive multiple-input…
A Unified Joint Optimization of Training Sequences and Transceivers Based on Matrix-Monotonic Optimization
Chengwen Xing, Tao Yu, Jinpeng Song +3
Channel estimation and data transmission constitute the most fundamental functional modules of multiple-input multiple-output (MIMO) communication systems. The underlying key tasks…
Random Access with Massive MIMO-OTFS in LEO Satellite Communications
Boxiao Shen, Yongpeng Wu, Jianping An +3
This paper considers the joint channel estimation and device activity detection in the grant-free random access systems, where a large number of Internet-of-Things devices intend t…