45 citations · 177 across the 30 of their papers we have counts for
51 papers
Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedback
Xiangyi Li, Jiajia Guo, Chao-Kai Wen +1
Deep learning has revolutionized the design of the channel state information (CSI) feedback module in wireless communications. However, designing the optimal neural network (NN) ar…
Multi-domain Cooperative SLAM: The Enabler for Integrated Sensing and Communications
Jie Yang, Chao-Kai Wen, Xi Yang +3
Simultaneous localization and mapping (SLAM) provides user tracking and environmental mapping capabilities, enabling communication systems to gain situational awareness. Advanced c…
Wireless Semantic Transmission via Revising Modules in Conventional Communications
Peiwen Jiang, Chao-Kai Wen, Shi Jin +1
Semantic communication has become a popular research area due its high spectrum efficiency and error-correction performance. Some studies use deep learning to extract semantic feat…
Hybrid Active and Passive Sensing for SLAM in Wireless Communication Systems
Jie Yang, Chao-Kai Wen, Shi Jin
Integrating sensing functions into future mobile equipment has become an important trend. Realizing different types of sensing and achieving mutual enhancement under the existing c…
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-…