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08/07/2023
Joint Precoding and Fronthaul Compression for Cell-Free MIMO Downlink With Radio Stripes
A sequential fronthaul network, referred to as radio stripes, is a promi...
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06/22/2023
Rate-Splitting Multiple Access for 6G Networks: Ten Promising Scenarios and Applications
In the upcoming 6G era, multiple access (MA) will play an essential role...
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03/05/2023
Learning Decentralized Power Control in Cell-Free Massive MIMO Networks
This paper studies learning-based decentralized power control methods fo...
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09/21/2022
Deep Learning for Multi-User MIMO Systems: Joint Design of Pilot, Limited Feedback, and Precoding
In conventional multi-user multiple-input multiple-output (MU-MIMO) syst...
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07/27/2022
Decentralized Computation Offloading With Cooperative UAVs: Multi-Agent Deep Reinforcement Learning Perspective
Limited computing resources of internet-of-things (IoT) nodes incur proh...
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07/12/2022
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization
Deep learning (DL) techniques have been intensively studied for the opti...
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06/03/2022
Completion Time Minimization of Fog-RAN-Assisted Federated Learning With Rate-Splitting Transmission
This work studies federated learning (FL) over a fog radio access networ...
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09/27/2021
Deep Learning Based Resource Assignment for Wireless Networks
This paper studies a deep learning approach for binary assignment proble...
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07/06/2021
Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks
Cooperative beamforming across access points (APs) and fronthaul quantiz...
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06/15/2021
Learning Autonomy in Management of Wireless Random Networks
This paper presents a machine learning strategy that tackles a distribut...
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03/21/2021
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks
Fog radio access networks (F-RANs), which consist of a cloud and multipl...
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03/02/2021
Learning Robust Beamforming for MISO Downlink Systems
This paper investigates a learning solution for robust beamforming optim...
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10/19/2020
Multi-Agent Deep Reinforcement Learning for Distributed Resource Management in Wirelessly Powered Communication Networks
This paper studies multi-agent deep reinforcement learning (MADRL) based...
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07/02/2020
Deep Learning Methods for Universal MISO Beamforming
This letter studies deep learning (DL) approaches to optimize beamformin...
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12/19/2019
Deep Learning-based Limited Feedback Designs for MIMO Systems
We study a deep learning (DL) based limited feedback methods for multi-a...
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10/26/2019
A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver
This paper studies a deep learning (DL) framework for the design of bina...
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05/31/2019
Deep Learning for Distributed Optimization: Applications to Wireless Resource Management
This paper studies a deep learning (DL) framework to solve distributed n...
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12/13/2018
Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications
Optical wireless communication (OWC) is a promising technology for futur...
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08/23/2018
Optimal Precoder Designs for Sum-utility Maximization in SWIPT-enabled Multi-user MIMO Cognitive Radio Networks
In this paper, we propose a generalized framework that combines the cogn...
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01/09/2018
UAV-Aided Wireless Communication Designs With Propulsion Energy Limitations
This paper studies unmanned aerial vehicle (UAV) aided wireless communic...
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01/09/2018