activity
20192026
most citedDNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access

75 citations · 85 across the 5 of their papers we have counts for

collaborators

7 papers

cs.IT2026

Enhanced ODMA for Massive Sparse Access: Hybrid Data-Frozen Bit Transmission and Fixed-Point Analysis over Block Fading Channels

Guanghui Song, Jianxiang Yan, Ying Li +2

This paper proposes a novel on-off division multiple access (ODMA) transmission scheme that enables efficient joint multi-user channel estimation and iterative decoding by insertin…

eess.SP2022

Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC

Zhaoji Zhang, Qinghua Guo, Ying Li +2

Tailor-made for massive connectivity and sporadic access, grant-free random access has become a promising candidate access protocol for massive machine-type communications (mMTC).…

cs.IT20204 cited

User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things

Zhaoji Zhang, Ying Li, Chongwen Huang +4

With recent advances on the dense low-earth orbit (LEO) constellation, LEO satellite network has become one promising solution to providing global coverage for Internet-of-Things (…

cs.IT2020

Random NOMA With Cross-Slot Successive Interference Cancellation Packet Recovery

Zhaoji Zhang, Ying Li, Guanghui Song +2

Conventional power-domain non-orthogonal multiple access (NOMA) relies on precise power control, which requires real-time channel state information at transmitters. This requiremen…

cs.IT201975 cited

DNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access

Zhaoji Zhang, Ying Li, Chongwen Huang +3

In the upcoming Internet-of-Things (IoT) era, the communication is often featured by massive connection, sporadic transmission, and small-sized data packets, which poses new requir…

cs.IT20196 cited

DNN-Aided Message Passing Based Block Sparse Bayesian Learning for Joint User Activity Detection and Channel Estimation

Zhaoji Zhang, Ying Li, Chongwen Huang +3

Faced with the massive connection, sporadic transmission, and small-sized data packets in future cellular communication, a grant-free non-orthogonal random access (NORA) system is…