100 citations · 332 across the 22 of their papers we have counts for
22 papers
Maximum Achievable Rate of Resistive Random-Access Memory Channels by Mutual Information Spectrum Analysis
Guanghui Song, Kui Cai, Ying Li +1
The maximum achievable rate is derived for resistive random-access memory (ReRAM) channel with sneak path interference. Based on the mutual information spectrum analysis, the maxim…
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).…
Capacity Optimal Generalized Multi-User MIMO: A Theoretical and Practical Framework
Yuhao Chi, Lei Liu, Guanghui Song +3
Conventional multi-user multiple-input multiple-output (MU-MIMO) mainly focused on Gaussian signaling, independent and identically distributed (IID) channels, and a limited number…
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.…
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.…
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…
A New Insight into GAMP and AMP
Lei Liu, Ying Li, Chongwen Huang +2
A concise expectation propagation (EP) based message passing algorithm (MPA) is derived for the general measurement channel. By neglecting some high-order infinitesimal terms, the…
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…
Practical MIMO-NOMA: Low Complexity & Capacity-Approaching Solution
Yuhao Chi, Lei Liu, Guanghui Song +3
MIMO-NOMA combines Multiple-Input Multiple-Output (MIMO) and Non-Orthogonal Multiple Access (NOMA), which can address heterogeneous challenges, such as massive connectivity, low la…
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…
Message Passing in C-RAN: Joint User Activity and Signal Detection
Yuhao Chi, Lei Liu, Guanghui Song +3
In cloud radio access network (C-RAN), remote radio heads (RRHs) and users are uniformly distributed in a large area such that the channel matrix can be considered as sparse. Based…
Sparse Vector Recovery: Bernoulli-Gaussian Message Passing
Lei Liu, Chongwen Huang, Yuhao Chi +3
Low-cost message passing (MP) algorithm has been recognized as a promising technique for sparse vector recovery. However, the existing MP algorithms either focus on mean square err…
A High Throughput Pilot Allocation for M2M Communication in Crowded Massive MIMO Systems
Huimei Han, Xudong Guo, Ying Li
A new scheme to resolve the intra-cell pilot collision for M2M communication in crowded massive multiple-input multiple-output (MIMO) systems is proposed. The proposed scheme permi…
Gaussian Message Passing Iterative Detection for MIMO-NOMA Systems with Massive Access
Lei Liu, Chau Yuen, Yong Liang Guan +2
This paper considers a low-complexity Gaussian Message Passing Iterative Detection (GMPID) algorithm for Multiple-Input Multiple-Output systems with Non-Orthogonal Multiple Access…
Convergence Analysis and Assurance for Gaussian Message Passing Iterative Detector in Massive MU-MIMO Systems
Lei Liu, Chau Yuen, Yong Liang Guan +2
This paper considers a low-complexity Gaussian Message Passing Iterative Detection (GMPID) algorithm for massive Multiuser Multiple-Input Multiple-Output (MU-MIMO) system, in which…
Capacity-Achieving Iterative LMMSE Detection for MIMO-NOMA Systems
Lei Liu, Chau Yuen, Yong Liang Guan +1
This paper considers a Iterative Linear Minimum Mean Square Error (LMMSE) detection for the uplink Multiuser Multiple-Input and Multiple-Output (MU-MIMO) systems with Non-Orthogona…
Capacity-Achieving Iterative LMMSE Detection for MIMO-NOMA Systems
Lei Liu, Chau Yuen, Yong Liang Guan +1
This paper considers a iterative Linear Minimum Mean Square Error (LMMSE) detection for the uplink Multiuser Multiple-Input and Multiple-Output (MU-MIMO) systems with Non-Orthogona…
A Low-Complexity Gaussian Message Passing Iterative Detector for Massive MU-MIMO Systems
Lei Liu, Chau Yuen, Yong Liang Guan +2
This paper considers a low-complexity Gaussian Message Passing Iterative Detection (GMPID) method over a pairwise graph for a massive Multiuser Multiple-Input Multiple-Output (MU-M…