725 citations · 6.1k across the 252 of their papers we have counts for
8 papers · 2 filters
Joint Unicast and Multi-group Multicast Transmission in Massive MIMO Systems
Meysam Sadeghi, Emil Björnson, Erik G. Larsson +2
We study the joint unicast and multi-group multicast transmission in massive multiple-input-multiple-output (MIMO) systems. We consider a system model that accounts for channel est…
Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
Chongwen Huang, Sha Hu, George C. Alexandropoulos +5
Future wireless networks are expected to evolve towards an intelligent and software reconfigurable paradigm enabling ubiquitous communications between humans and mobile devices. Th…
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…
Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces
Chongwen Huang, George C. Alexandropoulos, Chau Yuen +1
Reconfigurable Intelligent Surfaces (RISs) comprised of tunable unit elements have been recently considered in indoor communication environments for focusing signal reflections to…
Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems
Chongwen Huang, George C. Alexandropoulos, Alessio Zappone +2
One of the fundamental challenges to realize massive Multiple-Input Multiple-Output (MIMO) communications is the accurate acquisition of channel state information for a plurality o…
Capacity-Achieving MIMO-NOMA: Iterative LMMSE Detection
Lei Liu, Yuhao Chi, Chau Yuen +2
This paper considers a low-complexity iterative Linear Minimum Mean Square Error (LMMSE) multi-user detector for the Multiple-Input and Multiple-Output system with Non-Orthogonal M…