b'Walid Saad'

research

∙ 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...

0 Bernd Simon, et al. ∙

research

∙ 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...

0 Minsu Kim, et al. ∙

research

∙ 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 ...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 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...

0 Tengchan Zeng, et al. ∙

research

∙ 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 ...

0 Yong Xiao, et al. ∙

research

∙ 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...

0 Mehdi Naderi Soorki, et al. ∙

research

∙ 05/22/2023

Matching Game for Optimized Association in Quantum Communication Networks

Enabling quantum switches (QSs) to serve requests submitted by quantum e...

0 Mahdi Chehimi, et al. ∙

research

∙ 05/15/2023

Scaling Limits of Quantum Repeater Networks

Quantum networks (QNs) are a promising platform for secure communication...

0 Mahdi Chehimi, et al. ∙

research

∙ 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...

0 Mojtaba Vaezi, et al. ∙

research

∙ 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...

0 Christina Chaccour, et al. ∙

research

∙ 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...

0 Christo Kurisummoottil Thomas, et al. ∙

research

∙ 03/14/2023

Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?

Future wireless services, such as the metaverse require high information...

0 Christo Kurisummoottil Thomas, et al. ∙

research

∙ 03/03/2023

Collaborative Learning with a Drone Orchestrator

In this paper, the problem of drone-assisted collaborative learning is c...

0 Mahnoosh Mahdavimoghadam, et al. ∙

research

∙ 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...

0 Tilahun M. Getu, et al. ∙

research

∙ 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 ...

0 Rakesh Mundlamuri, et al. ∙

research

∙ 02/03/2023

Integrated Communication and Control Systems: A Data Significance Perspective

The interconnected smart devices and industrial internet of things devic...

0 Stefan Roth, et al. ∙

research

∙ 12/18/2022

Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications

Achieving artificially intelligent-native wireless networks is necessary...

0 Christina Chaccour, et al. ∙

research

∙ 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 ...

0 Minsu Kim, et al. ∙

research

∙ 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...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 11/25/2022

Less Data, More Knowledge: Building Next Generation Semantic Communication Networks

Semantic communication is viewed as a revolutionary paradigm that can po...

0 Christina Chaccour, et al. ∙

research

∙ 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...

0 Alexander C. DeRieux, et al. ∙

research

∙ 10/21/2022

Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications

Semantic communication (SC) aims to communicate reliably with minimal da...

0 Christo Kurisummoottil Thomas, et al. ∙

research

∙ 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...

0 Md. Shirajum Munir, et al. ∙

research

∙ 09/21/2022

Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks

This paper considers improving wireless communication and computation ef...

0 Sihua Wang, et al. ∙

research

∙ 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...

0 Ali Pourranjbar, et al. ∙

research

∙ 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...

10 Yining Wang, et al. ∙

research

∙ 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...

0 Minsu Kim, et al. ∙

research

∙ 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...

0 Ye Hu, et al. ∙

research

∙ 06/02/2022

Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks

Space communications, particularly mega satellite networks, re-emerged a...

0 Bassel Al Homssi, et al. ∙

research

∙ 05/22/2022

Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication

Intent-based networks that integrate sophisticated machine reasoning tec...

0 Christo Kurisummoottil Thomas, et al. ∙

research

∙ 05/05/2022

Quantum Semantic Communications: An Unexplored Avenue for Contextual Networking

Future communication systems (6G and beyond) will witness a paradigm shi...

0 Mahdi Chehimi, et al. ∙

research

∙ 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...

0 Mohammad Karimzadeh Farshbafan, et al. ∙

research

∙ 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...

0 Mahdi Chehimi, et al. ∙

research

∙ 04/16/2022

FedVQCS: Federated Learning via Vector Quantized Compressed Sensing

In this paper, a new communication-efficient federated learning (FL) fra...

0 Yongjeong Oh, et al. ∙

research

∙ 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...

0 Omar Hashash, et al. ∙

research

∙ 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...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 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...

0 Latif U. Khan, et al. ∙

research

∙ 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...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 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...

0 Sheikh Salman Hassan, et al. ∙

research

∙ 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...

0 Yasemin Karacora, et al. ∙

research

∙ 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...

12 Tengchan Zeng, et al. ∙

research

∙ 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...

0 Ali Pourranjbar, et al. ∙

research

∙ 11/28/2021

Joint Sensing and Communication for Situational Awareness in Wireless THz Systems

Next-generation wireless systems are rapidly evolving from communication...

0 Christina Chaccour, et al. ∙

research

∙ 11/23/2021

Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks

Collaborative deep reinforcement learning (CDRL) algorithms in which mul...

0 Fatemeh Lotfi, et al. ∙

research

∙ 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...

0 Mohammad Karimzadeh Farshbafan, et al. ∙

research

∙ 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...

0 Minsu Kim, et al. ∙

research

∙ 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...

0 Mohammad Aghapour, et al. ∙

research

∙ 08/15/2021

Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks

With the continuous trend of data explosion, delivering packets from dat...

11 Yantong Wang, et al. ∙

research

∙ 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...

0 Qianqian Zhang, et al. ∙

research

∙ 07/30/2021

Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing

Recently, unmanned aerial vehicles (UAVs) assisted multi-access edge com...

0 Yan Kyaw Tun, et al. ∙

Walid Saad

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