75 citations · 93 across the 9 of their papers we have counts for
9 papers
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…
Asynchronous Grant-Free Random Access: Receiver Design with Partially Uni-Directional Message Passing and Interference Suppression Analysis
Zhaoji Zhang, Yuhao Chi, Qinghua Guo +3
Massive Machine-Type Communications (mMTC) features a massive number of low-cost user equipments (UEs) with sparse activity. Tailor-made for these features, grant-free random acces…
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).…
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 (…
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…
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…
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…
Fixed-Symbol Aided Random Access Scheme for Machine-to-Machine Communications
Zhaoji Zhang, Ying Li, Lei Liu +1
The massiveness of devices in crowded Machine-to-Machine (M2M) communications brings new challenges to existing random-access (RA) schemes, such as heavy signaling overhead and sev…
Sparse Message Passing Based Preamble Estimation for Crowded M2M Communications
Zhaoji Zhang, Ying Li, Lei Liu +1
Due to the massive number of devices in the M2M communication era, new challenges have been brought to the existing random-access (RA) mechanism, such as severe preamble collisions…