Publications (422)
Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information
Sumedh J. Dongare, Patrick Weber, Andrea Ortiz +3
Mobile crowdsensing (MCS) is a distributed sensing architecture that utilizes existing sensors on mobile units (MUs) to perform sensing tasks. A mobile crowdsensing platform (MCSP)…
Satellite-based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention Approach
Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun +3
The proliferation of intelligent transportation systems (ITS) has led to increasing demand for diverse network applications. However, conventional terrestrial access networks (TANs…
Mobility Management for Cellular-Connected UAVs: A Learning-Based Approach
Md Moin Uddin Chowdhury, Walid Saad, Ismail Guvenc
The pervasiveness of the wireless cellular network can be a key enabler for the deployment of autonomous unmanned aerial vehicles (UAVs) in beyond visual line of sight scenarios wi…
Dynamic Strategy Adaptation in Multi-Agent Environments with Large Language Models
Shaurya Mallampati, Rashed Shelim, Walid Saad +1
Large language models (LLMs) demonstrate strong reasoning abilities across mathematical, strategic, and linguistic tasks, yet little is known about how well they reason in dynamic,…
When Cellular Meets WiFi in Wireless Small Cell Networks
Mehdi Bennis, Meryem Simsek, Walid Saad +3
The deployment of small cell base stations(SCBSs) overlaid on existing macro-cellular systems is seen as a key solution for offloading traffic, optimizing coverage, and boosting th…
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
Walid Saad, Mehdi Bennis, Mingzhe Chen
The ongoing deployment of 5G cellular systems is continuously exposing the inherent limitations of this system, compared to its original premise as an enabler for Internet of Every…
Resilient Vehicular Communications under Imperfect Channel State Information
Tingyu Shui, Walid Saad, Ye Hu +1
Cellular vehicle-to-everything (C-V2X) networks provide a promising solution to improve road safety and traffic efficiency. One key challenge in such systems lies in meeting qualit…
Toward World Models for Epidemiology
Zeeshan Memon, Yiqi Su, Christo Kurisummoottil Thomas +3
World models have emerged as a unifying paradigm for learning latent dynamics, simulating counterfactual futures, and supporting planning under uncertainty. In this paper, we argue…
Resource Allocation for Machine-to-Machine Communications with Unmanned Aerial Vehicles
Mehdi Naderi Soorki, Mohammad Mozaffari, Walid Saad +2
In this paper, a novel framework for power-efficient, cluster-based machine-to-machine (M2M) communications is proposed. In the studied model, a number of unmanned aerial vehicles…
Deployment of 5G Networking Infrastructure with Machine Type Communication Considerations
Xiangxiang Xu, Walid Saad, Xiujun Zhang +2
Designing optimal strategies to deploy small cell stations is crucial to meet the quality-of-service requirements in next-generation cellular networks with constrained deployment c…
Transfer Learning for Device Fingerprinting with Application to Cognitive Radio Networks
Yaman Sharaf-Dabbagh, Walid Saad
Primary user emulation (PUE) attacks are an emerging threat to cognitive radio (CR) networks in which malicious users imitate the primary users (PUs) signals to limit the access of…
Green Learning for STAR-RIS mmWave Systems with Implicit CSI
Yu-Hsiang Huang, Po-Heng Chou, Wan-Jen Huang +2
In this paper, a green learning (GL)-based precoding framework is proposed for simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided millim…
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
Yantong Wang, Ye Hu, Zhaohui Yang +3
With the continuous trend of data explosion, delivering packets from data servers to end users causes increased stress on both the fronthaul and backhaul traffic of mobile networks…
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen, Zhaohui Yang, Walid Saad +3
In this paper, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In particular, in the considered model, wireless users execu…
Stochastic Games for Smart Grid Energy Management with Prospect Prosumers
Seyed Rasoul Etesami, Walid Saad, Narayan Mandayam +1
In this paper, the problem of smart grid energy management under stochastic dynamics is investigated. In the considered model, at the demand side, it is assumed that customers can…
On Bounded Rationality in Cyber-Physical Systems Security: Game-Theoretic Analysis with Application to Smart Grid Protection
Anibal Sanjab, Walid Saad
In this paper, a general model for cyber-physical systems (CPSs), that captures the diffusion of attacks from the cyber layer to the physical system, is studied. In particular, a g…
Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-enabled LTE-U Networks
Mingzhe Chen, Walid Saad, Changchuan Yin
In this paper, the problem of resource management is studied for a network of wireless virtual reality (VR) users communicating using an unmanned aerial vehicle (UAV)-enabled LTE-U…
Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving
Kui Wang, Kazuma Nonomura, Zongdian Li +6
Vehicle-road collaboration is a promising approach for enhancing the safety and efficiency of autonomous driving by extending the intelligence of onboard systems to smart roadside…
An Online Framework for Ephemeral Edge Computing in the Internet of Things
Gilsoo Lee, Walid Saad, Mehdi Bennis
In the Internet of Things (IoT) environment, edge computing can be initiated at anytime and anywhere. However, in an IoT, edge computing sessions are often ephemeral, i.e., they la…
Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications
Omid Semiari, Walid Saad, Mehdi Bennis +1
Next-generation wireless networks must enable emerging technologies such as augmented reality and connected autonomous vehicles via wide range of wireless services that span enhanc…
Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks with Mobile Users
Mingzhe Chen, Walid Saad, Changchuan Yin +1
In this paper, the problem of proactive caching is studied for cloud radio access networks (CRANs). In the studied model, the baseband units (BBUs) can predict the content request…
A Graphical Bayesian Game for Secure Sensor Activation in Internet of Battlefield Things
Nof Abuzainab, Walid Saad
In this paper, the problem of secure sensor activation is studied for an Internet of Battlefield Things (IoBT) system in which an attacker compromises a set of the IoBT sensors for…
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
Sumudu Samarakoon, Mehdi Bennis, Walid Saad +1
In this paper, the problem of joint power and resource allocation (JPRA) for ultra-reliable low-latency communication (URLLC) in vehicular networks is studied. Therein, the network…
Backhaul-Aware Interference Management in the Uplink of Wireless Small Cell Networks
Sumudu Samarakoon, Mehdi Bennis, Walid Saad +1
The design of distributed mechanisms for interference management is one of the key challenges in emerging wireless small cell networks whose backhaul is capacity limited and hetero…
Delay Minimization for Federated Learning Over Wireless Communication Networks
Zhaohui Yang, Mingzhe Chen, Walid Saad +4
In this paper, the problem of delay minimization for federated learning (FL) over wireless communication networks is investigated. In the considered model, each user exploits limit…
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction
Samad Ali, Walid Saad, Nandana Rajatheva
Burst of transmissions stemming from event-driven traffic in machine type communication (MTC) can lead to congestion of random access resources, packet collisions, and long delays.…
Predictive Ultra-Reliable Communication: A Survival Analysis Perspective
Sumudu Samarakoon, Mehdi Bennis, Walid Saad +1
Ultra-reliable communication (URC) is a key enabler for supporting immersive and mission-critical 5G applications. Meeting the strict reliability requirements of these applications…
Scaling Limits of Quantum Repeater Networks
Mahdi Chehimi, Shahrooz Pouryousef, Nitish K. Panigrahy +2
Quantum networks (QNs) are a promising platform for secure communications, enhanced sensing, and efficient distributed quantum computing. However, due to the fragile nature of quan…
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Christina Chaccour, Walid Saad, Merouane Debbah +2
Semantic communication is viewed as a revolutionary paradigm that can potentially transform how we design and operate wireless communication systems. However, despite a recent surg…
Ultra Dense Small Cell Networks: Turning Density into Energy Efficiency
Sumudu Samarakoon, Mehdi Bennis, Walid Saad +2
In this paper, a novel approach for joint power control and user scheduling is proposed for optimizing energy efficiency (EE), in terms of bits per unit energy, in ultra dense smal…
Foundations of Quantum Federated Learning Over Classical and Quantum Networks
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad +2
Quantum federated learning (QFL) is a novel framework that integrates the advantages of classical federated learning (FL) with the computational power of quantum technologies. This…
Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing
Bernd Simon, Andrea Ortiz, Walid Saad +1
The problem of coordinated data collection is studied for a mobile crowdsensing (MCS) system. A mobile crowdsensing platform (MCSP) sequentially publishes sensing tasks to the avai…
Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems with Noisy Channels
Bo Zhou, Walid Saad
In this paper, a dense Internet of Things (IoT) monitoring system is studied in which a large number of devices contend for transmitting timely status packets to their correspondin…
Design and Analysis of Resilient Vehicular Platoon Systems over Wireless Networks
Tingyu Shui, Walid Saad
Connected vehicular platoons provide a promising solution to improve traffic efficiency and ensure road safety. Vehicles in a platoon utilize on-board sensors and wireless vehicle-…
Distributed Coalition Formation Games for Secure Wireless Transmission
Walid Saad, Zhu Han, Tamer Basar +2
Cooperation among wireless nodes has been recently proposed for improving the physical layer (PHY) security of wireless transmission in the presence of multiple eavesdroppers. Whil…
Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing
Christina Chaccour, Mehdi Naderi Soorki, Walid Saad +3
Wireless communication at the terahertz (THz) frequency bands (0.1-10THz) is viewed as one of the cornerstones of tomorrow's 6G wireless systems. Owing to the large amount of avail…
Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach
Ye Hu, Mingzhe Chen, Walid Saad
In this paper, the problem of user association and resource allocation is studied for an integrated satellite-drone network (ISDN). In the considered model, drone base stations (DB…
Analysis of Memory Capacity for Deep Echo State Networks
Xuanlin Liu, Mingzhe Chen, Changchuan Yin +1
In this paper, the echo state network (ESN) memory capacity, which represents the amount of input data an ESN can store, is analyzed for a new type of deep ESNs. In particular, two…
A Cooperative Bayesian Nonparametric Framework for Primary User Activity Monitoring in Cognitive Radio Network
Walid Saad, Zhu Han, H. Vincent Poor +2
This paper introduces a novel approach that enables a number of cognitive radio devices that are observing the availability pattern of a number of primary users(PUs), to cooperate…
On the Reliability of Wireless Virtual Reality at Terahertz (THz) Frequencies
Christina Chaccour, Ramy Amer, Bo Zhou +1
Guaranteeing ultra reliable low latency communications (URLLC) with high data rates for virtual reality (VR) services is a key challenge to enable a dual VR perception: visual and…
3D Channel Characterization and Performance Analysis of UAV-Assisted Millimeter Wave Links
Mohammad Taghi Dabiri, Mohsen Rezaee, Behrouz Maham +2
Recently, the use of millimeter wave (mmW) frequencies has emerged as a promising solution for wirelessly connecting unmanned aerial vehicles (UAVs) to ground users. However, emplo…
Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models
Kimia Ehsani, Walid Saad
Accurate prediction of communication link quality metrics is essential for vehicle-to-infrastructure (V2I) systems, enabling smooth handovers, efficient beam management, and reliab…
A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid
Md. Shirajum Munir, Sravanthi Proddatoori, Manjushree Muralidhara +3
Understanding the potential of generative AI (GenAI)-based attacks on the power grid is a fundamental challenge that must be addressed in order to protect the power grid by realizi…
MA-HEAD-Net: Adaptive Rule-Guided Multi-Agent DRL for AoI Minimization in UAV-Assisted Emergency Networks
Yixin Zhang, Zhuohui Yao, Wenchi Cheng +1
In post-disaster scenarios, unmanned aerial vehicles (UAVs) are critical for establishing emergency communication networks. For time-critical rescue missions, information freshness…
Quantum Semantic Communications for Resource-Efficient Quantum Networking
Mahdi Chehimi, Christina Chaccour, Christo Kurisummoottil Thomas +1
Quantum communication networks (QCNs) utilize quantum mechanics for secure information transmission, but the reliance on fragile and expensive photonic quantum resources renders QC…
On the Fly Self-Organized Base Station Placement
Hirley Alves, Mehdi Bennis, Walid Saad +2
In this paper, we address the deployment of base stations (BSs) in a one-dimensional network in which the users are randomly distributed.In order to take into account the users' di…
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks
Ye Hu, Mingzhe Chen, Walid Saad +2
In this paper, the problem of the trajectory design for a group of energy-constrained drones operating in dynamic wireless network environments is studied. In the considered model,…
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss, Essaid Sabir, Halima Elbiaze +1
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of wireless systems, such as sixth-generation (6G) mobile network. However, massive dat…
6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities
Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee +6
We are on the cusp of a new era of connected autonomous vehicles with unprecedented user experiences, tremendously improved road safety and air quality, highly diverse transportati…
Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA)
Zhaohui Yang, Mingzhe Chen, Walid Saad +1
In this paper, the sum-rate maximization problem is studied for wireless networks that use downlink rate splitting multiple access (RSMA). In the considered model, each base statio…
SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language Models
Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed +4
Fine-tuning large language models (LLMs) on telecom datasets is a common practice to adapt general-purpose models to the telecom domain. However, little attention has been paid to…
Coalitional Games for Distributed Collaborative Spectrum Sensing in Cognitive Radio Networks
Walid Saad, Zhu Han, Merouane Debbah +2
Collaborative spectrum sensing among secondary users (SUs) in cognitive networks is shown to yield a significant performance improvement. However, there exists an inherent trade of…
Ensuring Reliable Connectivity to Cellular-Connected UAVs with Up-tilted Antennas and Interference Coordination
Md Moin Uddin Chowdhury, Ismail Guvenc, Walid Saad +1
To integrate unmanned aerial vehicles (UAVs) in future large-scale deployments, a new wireless communication paradigm, namely, the cellular-connected UAV has recently attracted int…
Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail
Mohamed K. Abdel-Aziz, Chen-Feng Liu, Sumudu Samarakoon +2
While the notion of age of information (AoI) has recently emerged as an important concept for analyzing ultra-reliable low-latency communications (URLLC), the majority of the exist…
R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge
Aladin Djuhera, Vlad C. Andrei, Mohsen Pourghasemian +3
Multi-task large language models (MTLLMs) are important for many applications at the wireless edge, where users demand specialized models to handle multiple tasks efficiently. Howe…
Game Theory for Signal Processing in Networks
Giacomo Bacci, Samson Lasaulce, Walid Saad +1
In this tutorial, the basics of game theory are introduced along with an overview of its most recent and emerging applications in signal processing. One of the main features of thi…
A Comprehensive Tutorial and Survey of O-RAN: Exploring Slicing-aware Architecture, Deployment Options, Use Cases, and Challenges
Khurshid Alam, Mohammad Asif Habibi, Matthias Tammen +8
Open-radio access network (O-RAN) seeks to establish the principles of openness, programmability, automation, intelligence, and hardware-software disaggregation with interoperable…
Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes
Bo Zhou, Walid Saad
In this paper, a real-time Internet of Things (IoT) monitoring system is considered in which the IoT devices are scheduled to sample underlying physical processes and send the stat…
An Online Secretary Framework for Fog Network Formation with Minimal Latency
Gilsoo Lee, Walid Saad, Mehdi Bennis
Fog computing is seen as a promising approach to perform distributed, low-latency computation for supporting Internet of Things applications. However, due to the unpredictable arri…
Performance Analysis of Blockchain Systems with Wireless Mobile Miners
Gilsoo Lee, Jihong Park, Walid Saad +1
In this paper, a novel framework that uses wireless mobile miners (MMs) for computation purposes in a blockchain system is proposed. In the introduced system, the blockchain ledger…
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems
Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash +3
Large language models (LLMs) and foundation models have been recently touted as a game-changer for 6G systems. However, recent efforts on LLMs for wireless networks are limited to…
An Online Optimization Framework for Distributed Fog Network Formation with Minimal Latency
Gilsoo Lee, Walid Saad, Mehdi Bennis
Fog computing is emerging as a promising paradigm to perform distributed, low-latency computation by jointly exploiting the radio and computing resources of end-user devices and cl…
Adaptive Machine Learning Framework for UAV Trajectory Optimization in O-RAN
Chenrui Sun, Swarna Bindu Chetty, Gianluca Fontanesi +3
The deployment of unmanned aerial vehicles (UAV) as open radio units (O-RUs) in 6G cellular systems presents a promising opportunity to achieve scalable and adaptive network covera…
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks
Yining Wang, Mingzhe Chen, Zhaohui Yang +4
In this paper, the problem of enhancing the quality of virtual reality (VR) services is studied for an indoor terahertz (THz)/visible light communication (VLC) wireless network. In…
A Multiclass Mean-Field Game for Thwarting Misinformation Spread in the Internet of Battlefield Things (IoBT)
Nof Abuzainab, Walid Saad
In this paper, the problem of misinformation propagation is studied for an Internet of Battlefield Things (IoBT) system in which an attacker seeks to inject false information in th…
Integrating Energy Storage into the Smart Grid: A Prospect Theoretic Approach
Yunpeng Wang, Walid Saad, Narayan B. Mandayam +1
In this paper, the interactions and energy exchange decisions of a number of geographically distributed storage units are studied under decision-making involving end-users. In part…
Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0
Tao Yu, Zongdian Li, Kei Sakaguchi +3
The concept of digital twin (DT), which enables the creation of a programmable, digital representation of physical systems, is expected to revolutionize future industries and will…
Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems
Sihua Wang, Mingzhe Chen, Zhaohui Yang +4
In this paper, the problem of minimizing the weighted sum of age of information (AoI) and total energy consumption of Internet of Things (IoT) devices is studied. In the considered…
MetaMind: General and Cognitive World Models in Multi-Agent Systems by Meta-Theory of Mind
Lingyi Wang, Rashed Shelim, Walid Saad +1
A major challenge for world models in multi-agent systems is to understand interdependent agent dynamics, predict interactive multi-agent trajectories, and plan over long horizons…
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems
Samad Ali, Hossein Asgharimoghaddam, Nandana Rajatheva +2
In this paper, a novel approach based on the concept of opportunistic spatial orthogonalization (OSO) is proposed for interference management between machine type communications (M…
How to Upgrade Wireless Networks: Small Cells or Massive MIMO?
Xiangxiang Xu, Xiujun Zhang, Walid Saad +2
Radio network deployment and coverage optimization are critical to next-generation wireless networks. In this paper, the problem of optimally deciding on whether to install additio…
Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation
Loc X. Nguyen, Ji Su Yoon, Huy Q. Le +7
Semantic communication can significantly improve bandwidth utilization in wireless systems by exploiting the meaning behind raw data. However, the advancements achieved through sem…
Opportunistic Sleep Mode Strategies in Wireless Small Cell Networks
Sumudu Samarakoon, Mehdi Bennis, Walid Saad +1
The design of energy-efficient mechanisms is one of the key challenges in emerging wireless small cell networks. In this paper, a novel approach for opportunistically switching ON/…
Spatio-Temporal Motifs for Optimized Vehicle-to-Vehicle (V2V) Communications
Tengchan Zeng, Omid Semiari, Walid Saad
Caching popular contents in vehicle-to-vehicle (V2V) communication networks is expected to play an important role in road traffic management, the realization of intelligent transpo…
Age of Information in Ultra-Dense IoT Systems: Performance and Mean-Field Game Analysis
Bo Zhou, Walid Saad
In this paper, a dense Internet of Things (IoT) monitoring system is considered in which a large number of IoT devices contend for channel access so as to transmit timely status up…
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
Ali Taleb Zadeh Kasgari, Walid Saad, Mohammad Mozaffari +1
In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is proposed to provide model-free resource allocation for ultra reliable low latency communicatio…
On the Age of Information in Internet of Things Systems with Correlated Devices
Bo Zhou, Walid Saad
In this paper, a real-time Internet of Things (IoT) monitoring system is considered in which multiple IoT devices must transmit timely updates on the status information of a common…
Towards Low-Latency and Ultra-Reliable Vehicle-to-Vehicle Communication
Muhammad Ikram Ashraf, Chen-Feng Liu, Mehdi Bennis +1
Recently vehicle-to-vehicle (V2V) communication emerged as a key enabling technology to ensure traffic safety and other mission-critical applications. In this paper, a novel proxim…
Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis
Mohammad Mozaffari, Walid Saad, Mehdi Bennis +1
The use of drone small cells (DSCs) which are aerial wireless base stations that can be mounted on flying devices such as unmanned aerial vehicles (UAVs), is emerging as an effecti…
Hypergame Theory for Decentralized Resource Allocation in Multi-user Semantic Communications
Christo Kurisummoottil Thomas, Walid Saad
Semantic communications (SC) is an emerging communication paradigm in which wireless devices can send only relevant information from a source of data while relying on computing res…
Efficient Domain Generalization in Wireless Networks with Scarce Multi-Modal Data
Minsu Kim, Walid Saad, Doru Calin
In 6G wireless networks, multi-modal ML models can be leveraged to enable situation-aware network decisions in dynamic environments. However, trained ML models often fail to genera…
Network Formation in the Sky: Unmanned Aerial Vehicles for Multi-hop Wireless Backhauling
Ursula Challita, Walid Saad
To reap the benefits of dense small base station (SBS) deployment, innovative backhaul solutions are needed in order to manage scenarios in which high-speed ground backhaul links a…
Jitter Performance Evaluation for Resilient Vehicular Systems
Pratiti Paul, Christo K. Thomas, Walid Saad +2
In this paper, the challenge of resilient vehicular communications is investigated for a vehicle-to-vehicle (V2V) wireless link subject to timing jitter induced by the stochastic e…
Joint Sensing and Communication for Situational Awareness in Wireless THz Systems
Christina Chaccour, Walid Saad, Omid Semiari +2
Next-generation wireless systems are rapidly evolving from communication-only systems to multi-modal systems with integrated sensing and communications. In this paper a novel joint…
Quantum Game Theory for Beam Alignment in Millimeter Wave Device-to-Device Communications
Qianqian Zhang, Walid Saad, Mehdi Bennis +1
In this paper, the problem of optimized beam alignment for wearable device-to-device (D2D) communications over millimeter wave (mmW) frequencies is studied. In particular, a noncoo…
EVT-Based Generative AI for Tail-Aware Channel Estimation
Parmida Valiahdi, Niloofar Mehrnia, Walid Saad +1
Ultra-reliable and low-latency communication (URLLC) will play a key role in fifth-generation (5G) and beyond networks, enabling mission-critical applications. Meeting the stringen…
3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning
Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun +3
Next-generation networks need to meet ubiquitous and high data-rate demand. Therefore, this paper considers the throughput and trajectory optimization of terahertz (THz)-enabled un…
Towards Self-learning Edge Intelligence in 6G
Yong Xiao, Guangming Shi, Yingyu Li +2
Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging technological framework focusing on seamless integration of AI, communication networks, and…
A Resilience Perspective on C-V2X Communication Networks under Imperfect CSI
Tingyu Shui, Walid Saad, Mingzhe Chen
Cellular vehicle-to-everything (C-V2X) networks provide a promising solution to improve road safety and traffic efficiency. One key challenge in such systems lies in meeting differ…
On the Computing and Communication Tradeoff in Reasoning-Based Multi-User Semantic Communications
Nitisha Singh, Christo Kurisummoottil Thomas, Walid Saad +1
Semantic communication (SC) is recognized as a promising approach for enabling reliable communication with minimal data transfer while maintaining seamless connectivity for a group…
Distributionally Robust Wireless Semantic Communication with Large AI Models
Long Tan Le, Senura Hansaja Wanasekara, Zerun Niu +7
Semantic communication (SemCom) has emerged as a promising paradigm for 6G wireless systems by transmitting task-relevant information rather than raw bits, yet existing approaches…
Exploring Social Ties for Enhanced Device-to-Device Communications in Wireless Networks
Yanru Zhang, Lingyang Song, Walid Saad +2
Device-to-device (D2D) communications is seen as a major technology to overcome the imminent wireless capacity crunch and to enable novel application services. In this paper, we pr…
Dynamic Psychological Game Theory for Secure Internet of Battlefield Things (IoBT) Systems
Ye Hu, Anibal Sanjab, Walid Saad
In this paper, a novel anti-jamming mechanism is proposed to analyze and enhance the security of adversarial Internet of Battlefield Things (IoBT) systems. In particular, the probl…
A context-aware matching game for user association in wireless small cell networks
Nima Namvar, Walid Saad, Behrouz Maham +1
Small cell networks are seen as a promising technology for boosting the performance of future wireless networks. In this paper, we propose a novel context-aware user-cell associati…
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications
Yining Wang, Mingzhe Chen, Zhaohui Yang +2
In this paper, the problem of dynamical deployment of unmanned aerial vehicles (UAVs) equipped with visible light communication (VLC) capabilities for optimizing the energy efficie…
Caching Meets Millimeter Wave Communications for Enhanced Mobility Management in 5G Networks
Omid Semiari, Walid Saad, Mehdi Bennis +1
One of the most promising approaches to overcome the uncertainty and dynamic channel variations of millimeter wave (mmW) communications is to deploy dual-mode base stations that in…
Energy-Efficient Resource Management in Ultra Dense Small Cell Networks: A Mean-Field Approach
Sumudu Samarakoon, Mehdi Bennis, Walid Saad +2
In this paper, a novel approach for joint power control and user scheduling is proposed for optimizing energy efficiency (EE), in terms of bits per unit power, in ultra dense small…
Game Theory for Secure Critical Interdependent Gas-Power-Water Infrastructure
Aidin Ferdowsi, Anibal Sanjab, Walid Saad +1
A city's critical infrastructure such as gas, water, and power systems, are largely interdependent since they share energy, computing, and communication resources. This, in turn, m…
Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience
Mingzhe Chen, Mohammad Mozaffari, Walid Saad +3
In this paper, the problem of proactive deployment of cache-enabled unmanned aerial vehicles (UAVs) for optimizing the quality-of-experience (QoE) of wireless devices in a cloud ra…
Context-Aware Small Cell Networks: How Social Metrics Improve Wireless Resource Allocation
Omid Semiari, Walid Saad, Stefan Valentin +2
In this paper, a novel approach for optimizing and managing resource allocation in wireless small cell networks (SCNs) with device-to-device (D2D) communication is proposed. The pr…