activity
20172024
most citedRobust Hybrid Precoding for Beam Misalignment in Millimeter-Wave Communications

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks

Chenhao Wu, Qingbo Wu, Haoran Wei +5

Despite demonstrating superior rate-distortion (RD) performance, learning-based image compression (LIC) algorithms have been found to be vulnerable to malicious perturbations in re…

eess.SP2019★ 1 cited

Prediction and Communication Co-design for Ultra-Reliable and Low-Latency Communications

Zhanwei Hou, Changyang She, Yonghui Li +2

Ultra-reliable and low-latency communications (URLLC) are considered as one of three new application scenarios in the fifth generation cellular networks. In this work, we aim to re…

eess.SP2019

Hybrid Precoder and Combiner for Imperfect Beam Alignment in mmWave MIMO Systems

Chandan Pradhan, Ang Li, Li Zhuo +2

In this letter, we aim to design a robust hybrid precoder and combiner against beam misalignment in millimeter-wave (mmWave) communication systems. We consider the inclusion of the…

cs.NI2019★ 2 cited

Robust Hybrid Precoding for Beam Misalignment in Millimeter-Wave Communications

Chandan Pradhan, Ang Li, Li Zhuo +2

In this paper, we focus on the phenomenon of beam misalignment in Millimeter-wave (mmWave) multi-receiver communication systems, and propose robust hybrid precoding designs that al…

cs.IT2017★ 1 cited

Antenna Selection in MIMO Cognitive Radio-Inspired NOMA Systems

Yuehua Yu, He Chen, Yonghui Li +2

This letter investigates a joint antenna selection (AS) problem for a MIMO cognitive radio-inspired non-orthogonal multiple access (CR-NOMA) network. In particular, a new computati…