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09/19/2023
Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing
The problem of coordinated data collection is studied for a mobile crowd...
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09/18/2023
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?
In continual learning (CL), an AI agent (e.g., autonomous vehicles or ro...
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07/28/2023
SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization
Satellite systems face a significant challenge in effectively utilizing ...
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07/05/2023
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Connected and autonomous vehicles (CAVs) can reduce human errors in traf...
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06/20/2023
Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework
Semantic-aware communication is a novel paradigm that draws inspiration ...
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06/05/2023
Catch Me If You Can: Deep Meta-RL for Search-and-Rescue using LoRa UAV Networks
Long range (LoRa) wireless networks have been widely proposed as a effic...
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05/22/2023
Matching Game for Optimized Association in Quantum Communication Networks
Enabling quantum switches (QSs) to serve requests submitted by quantum e...
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05/15/2023
Scaling Limits of Quantum Repeater Networks
Quantum networks (QNs) are a promising platform for secure communication...
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05/11/2023
Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges
Modern cellular networks are multi-cell and use universal frequency reus...
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04/29/2023
Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences
In this paper a novel joint sensing, communication, and artificial intel...
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04/25/2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach
A digital twin (DT) leverages a virtual representation of the physical w...
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03/14/2023
Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?
Future wireless services, such as the metaverse require high information...
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03/03/2023
Collaborative Learning with a Drone Orchestrator
In this paper, the problem of drone-assisted collaborative learning is c...
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02/15/2023
Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference
Semantic communication (SemCom) has emerged as a 6G enabler while promis...
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02/04/2023
Sensing aided Channel Estimation in Wideband Millimeter-Wave MIMO Systems
In this work, the uplink channel estimation problem is considered for a ...
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02/03/2023
Integrated Communication and Control Systems: A Data Significance Perspective
The interconnected smart devices and industrial internet of things devic...
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12/18/2022
Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications
Achieving artificially intelligent-native wireless networks is necessary...
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12/12/2022
A Bargaining Game for Personalized, Energy Efficient Split Learning over Wireless Networks
Split learning (SL) is an emergent distributed learning framework which ...
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12/12/2022
Satellite-based ITS Data Offloading Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention Approach
With the rapid growth of intelligent transportation systems (ITS), there...
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11/25/2022
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Semantic communication is viewed as a revolutionary paradigm that can po...
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11/18/2022
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart Cities
Rapid global urbanization is a double-edged sword, heralding promises of...
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10/21/2022
Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications
Semantic communication (SC) aims to communicate reliably with minimal da...
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10/13/2022
Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network
Explainable artificial intelligence (XAI) twin systems will be a fundame...
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09/21/2022
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks
This paper considers improving wireless communication and computation ef...
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08/19/2022
Recurrent Neural Network-based Anti-jamming Framework for Defense Against Multiple Jamming Policies
Conventional anti-jamming methods mainly focus on preventing single jamm...
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08/17/2022
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach
In this paper, a semantic communication framework is proposed for textua...
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07/19/2022
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design
In this paper, a green, quantized FL framework, which represents data wi...
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06/14/2022
Distributed and Distribution-Robust Meta Reinforcement Learning (D2-RMRL) for Data Pre-storing and Routing in Cube Satellite Networks
In this paper, the problem of data pre-storing and routing in dynamic, r...
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06/02/2022
Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks
Space communications, particularly mega satellite networks, re-emerged a...
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05/22/2022
Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication
Intent-based networks that integrate sophisticated machine reasoning tec...
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05/05/2022
Quantum Semantic Communications: An Unexplored Avenue for Contextual Networking
Future communication systems (6G and beyond) will witness a paradigm shi...
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04/21/2022
Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language
Goal-oriented semantic communication will be a pillar of next-generation...
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04/20/2022
Physics-Informed Quantum Communication Networks: A Vision Towards the Quantum Internet
Quantum communications is a promising technology that will play a fundam...
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04/16/2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing
In this paper, a new communication-efficient federated learning (FL) fra...
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04/10/2022
Edge Continual Learning for Dynamic Digital Twins over Wireless Networks
Digital twins (DTs) constitute a critical link between the real-world an...
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02/07/2022
3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning
Next-generation networks need to meet ubiquitous and high data-rate dema...
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02/05/2022
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Future wireless services must be focused on improving the quality of lif...
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02/05/2022
Blue Data Computation Maximization in 6G Space-Air-Sea Non-Terrestrial Networks
Non-terrestrial networks (NTN), encompassing space and air platforms, ar...
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01/21/2022
Seamless and Energy Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks
Non-terrestrial networks (NTNs), which integrate space and aerial networ...
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01/17/2022
Reliable Beam Tracking with Dynamic Beamwidth Adaptation in Terahertz (THz) Communications
THz communication is regarded as one of the potential key enablers for n...
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12/26/2021
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
To meet the growing mobility needs in intra-city transportation, the con...
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12/19/2021
Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning Approach
With the advent of intelligent jammers, jamming attacks have become a mo...
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11/28/2021
Joint Sensing and Communication for Situational Awareness in Wireless THz Systems
Next-generation wireless systems are rapidly evolving from communication...
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11/23/2021
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
Collaborative deep reinforcement learning (CDRL) algorithms in which mul...
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11/15/2021
Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework
Semantic communications will play a critical role in enabling goal-orien...
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11/15/2021
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks
Deploying federated learning (FL) over wireless networks with resource-c...
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10/06/2021
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning
In federated learning (FL), a machine learning model is trained on multi...
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08/15/2021
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
With the continuous trend of data explosion, delivering packets from dat...
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08/03/2021
Semi-Supervised Learning for Channel Charting-Aided IoT Localization in Millimeter Wave Networks
In this paper, a novel framework is proposed for channel charting (CC)-a...
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07/30/2021