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07/26/2023
Is the Performance of NOMA-aided Integrated Sensing and Multicast-Unicast Communications Improved by IRS?
In this paper, we consider intelligent reflecting surface (IRS) in a non...
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06/01/2023
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning
Asynchronous federated learning aims to solve the straggler problem in h...
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04/06/2023
Approximate Wireless Communication for Federated Learning
This paper presents an approximate wireless communication scheme for fed...
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03/15/2023
Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation
Semantic communication is envisioned as a promising technique to break t...
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09/20/2022
One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation
Semantic communication in the 6G era has been deemed a promising communi...
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08/03/2022
A New Implementation of Federated Learning for Privacy and Security Enhancement
Motivated by the ever-increasing concerns on personal data privacy and t...
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02/24/2022
Cognitive Semantic Communication Systems Driven by Knowledge Graph
Semantic communication is envisioned as a promising technique to break t...
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02/10/2022
Intelligent Resource Allocations for IRS-Assisted OFDM Communications: A Hybrid MDQN-DDPG Approach
In this paper, we study the resource allocation problem for an intellige...
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01/25/2022
An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks
In this paper, we design an efficient deep convolutional neural network ...
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01/21/2022
Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potentials, Promising Technologies, and Challenges
Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned...
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01/12/2022
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
The exponential growth of internet connected systems has generated numer...
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08/05/2021
User Scheduling for Federated Learning Through Over-the-Air Computation
A new machine learning (ML) technique termed as federated learning (FL) ...
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12/09/2020
Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks
Energy-efficient design and secure communications are of crucial importa...
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08/14/2020
Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network
In this paper, we investigate the computational resource allocation prob...
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06/21/2020
Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC
Federated learning (FL) is a highly pursued machine learning technique t...
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05/16/2020
User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks
While next-generation wireless communication networks intend leveraging ...
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05/16/2020
Artificial Intelligence Assisted Collaborative Edge Caching in Small Cell Networks
Edge caching is a new paradigm that has been exploited over the past sev...
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04/11/2020
Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement
Mobile edge computing (MEC) is an emerging communication scheme that aim...
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04/04/2020
A Machine Learning Based Framework for the Smart Healthcare Monitoring
In this paper, we propose a novel framework for the smart healthcare sys...
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03/03/2020
Adaptive Federated Learning With Gradient Compression in Uplink NOMA
Federated learning (FL) is an emerging machine learning technique that a...
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01/28/2020
Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks
Energy-efficient computation is an inevitable trend for mobile edge comp...
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11/17/2019
Subcarrier Assignment Schemes Based on Q-Learning in Wideband Cognitive Radio Networks
Subcarrier assignment is of crucial importance in wideband cognitive rad...
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11/12/2019
Energy-Efficient Beamforming and Cooperative Jamming in IRS-Assisted MISO Networks
Energy-efficient design and secure communications are of crucial importa...
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10/24/2019
Computation Efficiency Maximization in OFDMA-Based Mobile Edge Computing Networks
Computation-efficient resource allocation strategies are of crucial impo...
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10/22/2019
Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks
Mobile edge computing (MEC) has been envisaged as a promising technique ...
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10/12/2019
Performance Analysis on Visible Light Communications With Multi-Eavesdroppers and Practical Amplitude Constraint
In this paper the secure performance for the visible light communication...
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10/12/2019
Mobile Edge Computing in Unmanned Aerial Vehicle Networks
Unmanned aerial vehicle (UAV)-enabled communication networks are promisi...
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03/15/2019
Energy Efficiency Maximization for SWIPT Enabled Two-Way DF Relaying
This paper focuses on the design of an optimal resource allocation schem...
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02/28/2019
System Outage Performance for Three-Step Two-Way Energy Harvesting DF Relaying
Wireless energy harvesting (WEH) has been recognized as a promising tech...
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01/14/2019
On the Performance and Optimization for MEC Networks Using Uplink NOMA
In this paper, we investigate a non-orthogonal multiple access (NOMA) ba...
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11/30/2018
Heterogeneous Power-Splitting Based Two-Way DF Relaying with Non-Linear Energy Harvesting
Simultaneous wireless information and power transfer (SWIPT) has been re...
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11/30/2018
Energy-efficient Resource Allocation for Wirelessly Powered Backscatter Communications
In this letter, we consider a wireless-powered backscatter communication...
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07/11/2018
Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT
This paper studies a multiple-input single-output non-orthogonal multipl...
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07/08/2018
Resource Allocation Based on Deep Neural Networks for Cognitive Radio Networks
Resource allocation is of great importance in the next generation wirele...
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06/08/2018
Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems
Mobile edge computing (MEC) and wireless power transfer (WPT) are two pr...
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02/20/2018
Artificial Noise Aided Secure Cognitive Beamforming for Cooperative MISO-NOMA Using SWIPT
Cognitive radio (CR) and non-orthogonal multiple access (NOMA) have been...
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01/06/2018
