Skip to content
Log in
Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Yi-Rui Luo

h-index 2 View on Semantic Scholar

We have 6 of 12 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

2026

Joint Timing Offset Estimation, User Activity Detection, and Channel Estimation for Asynchronous OTFS-Based Grant-Free Random Access

Grant-free random access (GFRA) is a key enabler for massive machine-type communications (mMTC) in future wireless networks. However, supporting massive access under high mobility and asynchronous transmissions remains a fundamental challenge, especially for orthogonal time–frequency space (OTFS) modulation, where timi...

Yao Ge, Yi-Rui Luo, Yu-Hao Chi et al. · 0 citations
Aug 2026

Multi-Hop RIS ISAC for Target Positioning: A Tensor Decomposition-Based Approach

This paper designs a novel multi-hop RIS ISAC system for target positioning, where multiple RISs are deployed to assist the communication from a transmitter to associated users while simultaneously enhancing receiver sensing performance in target positioning.

Yi-Rui Luo, Xiaoyan Ma, Yong-Liang Guan et al. · 0 citations
Preprint Jul 2026

CSI RefineNet: A Soft Data-Aided Iterative Receiver for High-Mobility OFDM Systems

A CSI RefineNet receiver is proposed, where the CSI is iteratively refined using soft symbol decisions in a data-aided manner, and achieves superior BER performance and strong robustness under different velocities, modulation orders, and pilot spacing configurations in high-mobility OFDM systems.

Yi-Rui Luo, Yihang Xie, Yao Ge et al. · 0 citations
Jul 2026

Data-Aided Channel Estimation and Sensing With Sparse Bayesian Learning for AFDM-ISAC System

This work develops an efficient data-aided iterative receiver, in which reliably decoded data symbols are fed back as additional pseudo-pilot information to assist channel estimation and sensing, and develops a grid evolution procedure that iteratively adjusts the virtual grids in the discrete affine Fourier domain acc...

Yi-Rui Luo, Yong-Liang Guan, Yao Ge et al. · 1 citation
Preprint Aug 2026

Structured-Sparsity-Aware Joint User Activity Detection and Channel Estimation for OTFS-Based Grant-Free Random Access

Grant-free random access (GFRA) is a promising solution for massive machine-type communications (mMTC) in future wireless networks. However, reliable user activity detection and channel estimation are critical challenges, particularly when orthogonal time-frequency space (OTFS) modulation is integrated with GFRA to add...

Yao Ge, Yirui Luo, Yuhao Chi et al. · 0 citations
#reinforcement learning Review Open access Aug 2026

Bringing Reinforcement Learning to Multi-Period Financial Planning: A Bridge Between Learning-Enabled and Stochastic Optimization

This survey traces the mathematical evolution of multi-period financial planning over the past several decades, focusing on selected key methods ranging from classical stochastic optimization to learning-enabled decision systems.

Yi-Rui Luo, John M. Mulvey · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.