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05/04/2023
Fundamental Detection Probability vs. Achievable Rate Tradeoff in Integrated Sensing and Communication Systems
Integrating sensing functionalities is envisioned as a distinguishing fe...
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04/25/2023
Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom Metasurface Inverse Design
Conventional meta-atom designs rely heavily on researchers' prior knowle...
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05/30/2022
Confederated Learning: Federated Learning with Decentralized Edge Servers
Federated learning (FL) is an emerging machine learning paradigm that al...
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09/25/2021
A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection
The great success of deep learning (DL) has inspired researchers to deve...
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10/11/2020
Joint Transceiver and Large Intelligent Surface Design for Massive MIMO MmWave Systems
Large intelligent surface (LIS) has recently emerged as a potential low-...
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12/02/2019
Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
In this paper, we study the problem of joint active and passive beamform...
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09/22/2019
Outlier-Detection Based Robust Information Fusion for Networked Systems
We consider state estimation for networked systems where measurements fr...
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03/24/2019
Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing
There has been a growing interest in wideband spectrum sensing due to it...
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11/09/2018
Fast Beam Alignment for Millimeter Wave Communications: A Sparse Encoding and Phaseless Decoding Approach
In this paper, we studied the problem of beam alignment for millimeter w...
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09/07/2018
Maximum Correntropy Derivative-Free Robust Kalman Filter and Smoother
We consider the problem of robust estimation involving filtering and smo...
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12/20/2017
Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach
We consider the problem of spectrum sharing in a cognitive radio system ...
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12/20/2017
Intelligent Power Control for Spectrum Sharing: A Deep Reinforcement Learning Approach
We consider the problem of spectrum sharing in a cognitive radio system ...
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08/08/2017
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models
The problem of low rank matrix completion is considered in this paper. T...
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10/10/2016
