activity
20162020
most citedDNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access

75 citations · 130 across the 9 of their papers we have counts for

collaborators

12 papers

cs.IT20204 cited

A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems

Huimei Han, Lushun Fang, Weidang Lu +3

A high success rate of grant-free random access scheme is proposed to support massive access for machine-to-machine communications in massive multipleinput multiple-output systems.…

eess.SP20201 cited

A novel random access scheme for M2M communication in crowded asynchronous massive MIMO systems

Huimei Han, Wenchao Zhai, Zhefu Wu +3

A new random access scheme is proposed to solve the intra-cell pilot collision for M2M communication in crowded asynchronous massive multiple-input multiple-output (MIMO) systems.…

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…