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20112023
most citedModel-Driven Deep Learning for MIMO Detection

467 citations · 3.3k across the 111 of their papers we have counts for

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Showing 2021 · cs.ITShow all

10 papers · 2 filters

cs.IT2021

A Linear Bayesian Learning Receiver Scheme for Massive MIMO Systems

Alva Kosasih, Wibowo Hardjawana, Branka Vucetic +1

Much stringent reliability and processing latency requirements in ultra-reliable-low-latency-communication (URLLC) traffic make the design of linear massive multiple-input-multiple…

cs.IT2021★ 19 cited

A Bayesian Receiver with Improved Complexity-Reliability Trade-off in Massive MIMO Systems

Alva Kosasih, Vera Miloslavskaya, Wibowo Hardjawana +3

The stringent requirements on reliability and processing delay in the fifth-generation (G) cellular networks introduce considerable challenges in the design of massive multiple-…

cs.IT2021★ 53 cited

Channel Customization for Joint Tx-RISs-Rx Design in Hybrid mmWave Systems

Weicong Chen, Chao-Kai Wen, Xiao Li +1

In strong line-of-sight millimeter-wave (mmWave) wireless systems, the rank-deficient channel severely hampers spatial multiplexing. To address this inherent deficiency, multiple r…

cs.IT2021

Enabling Plug-and-Play and Crowdsourcing SLAM in Wireless Communication Systems

Jie Yang, Chao-Kai Wen, Shi Jin +1

Simultaneous localization and mapping (SLAM) during communication is emerging. This technology promises to provide information on propagation environments and transceivers' locatio…

cs.IT2021★ 11 cited

Integrated Sensing and Communication with Multi-Domain Cooperation

Jie Yang, Xi Yang, Chao-Kai Wen +1

With the continuous increase of the spectrum and antennas, endogenous sensing is now possible in the fifth generation and future wireless communication systems. However, sensing is…

cs.IT2021★ 1 cited

Labeling Multipath via Reconfigurable Intelligent Surface

Chang-Jen Wang, Shang-Ling Shih, Chao-Kai Wen +1

Reconfigurable intelligent surface (RIS) has shown promise in providing apparent benefits in wireless communication and positioning. Most of the existing research focuses on the ab…

cs.IT2021★ 1 cited

Model-based Learning Network for 3-D Localization in mmWave Communications

Jie Yang, Shi Jin, Chao-Kai Wen +3

This study considers the joint location and velocity estimation of UE and scatterers in a three-dimensional mmWave CRAN architecture. Several existing works have achieved satisfact…

cs.IT2021★ 2 cited

Large System Achievable Rate Analysis of RIS-Assisted MIMO Wireless Communication with Statistical CSIT

Jun Zhang, Jie Liu, Shaodan Ma +2

Reconfigurable intelligent surface (RIS) is an emerging technology to enhance wireless communication in terms of energy cost and system performance by equipping a considerable quan…

cs.IT2021★ 59 cited

CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learning

Jiajia Guo, Chao-Kai Wen, Shi Jin

In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overheads. In this paper, we propose an…

cs.IT2021★ 84 cited

Interplay between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems

Jinghe Wang, Wankai Tang, Yu Han +5

Future wireless communication networks are expected to fulfill the unprecedented performance requirements to support our highly digitized and globally data-driven society. Various…