activity
20112026
most citedChannel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

725 citations · 3k across the 227 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

eess.SP2019★ 47 cited

Robust Sub-Meter Level Indoor Localization With a Single WiFi Access Point-Regression Versus Classification

Chenlu Xiang, Shunqing Zhang, Shugong Xu +3

Precise indoor localization is an increasingly demanding requirement for various emerging applications, like Virtual/Augmented reality and personalized advertising. Current indoor…

cs.IT2019

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…

eess.SP2019

A Unified Beamforming and A/D Self-Interference Cancellation Design for Full Duplex MIMO Radios

Md Atiqul Islam, George C. Alexandropoulos, Besma Smida

In this paper, we focus on reduced complexity full duplex Multiple-Input Multiple-Output (MIMO) systems and present a joint design of digital transmit and receive beamforming with…

cs.IT2019★ 25 cited

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…

cs.IT2019★ 50 cited

Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come

Marco Di Renzo, Merouane Debbah, Dinh-Thuy Phan-Huy +11

Future wireless networks are expected to constitute a distributed intelligent wireless communications, sensing, and computing platform, which will have the challenging requirement…

cs.IT2019★ 6 cited

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…