467 citations · 3.3k across the 111 of their papers we have counts for
15 papers · 1 filter
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…
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-…
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…
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…
Deep Source-Channel Coding for Sentence Semantic Transmission with HARQ
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
Recently, semantic communication has been brought to the forefront because of its great success in deep learning (DL), especially Transformer. Even if semantic communication has be…
Deep Learning-based Implicit CSI Feedback in Massive MIMO
Muhan Chen, Jiajia Guo, Chao-Kai Wen +3
Massive multiple-input multiple-output can obtain more performance gain by exploiting the downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI…
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…
Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems
Weijie Jin, Hengtao He, Chao-Kai Wen +2
Channel estimation in wideband millimeter-wave (mmWave) systems is very challenging due to the beam squint effect. To solve the problem, we propose a learnable iterative shrinkage…
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…
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…
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…
Fast Antenna and Beam Switching Method for mmWave Handsets with Hand Blockage
Wan-Ting Shih, Chao-Kai Wen, Shang-Ho +2
Many operators have been bullish on the role of millimeter-wave (mmWave) communications in fifth-generation (5G) mobile broadband because of its capability of delivering extreme da…
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…
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork
Chang-Jen Wang, Chao-Kai Wen, Shang-Ho +3
Phase retrieval (PR) is an important component in modern computational imaging systems. Many algorithms have been developed over the past half-century. Recent advances in deep lear…
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…