Publications (356)
Random Beamforming over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach
Romain Couillet, Jakob Hoydis, Merouane Debbah
In this work, we study the performance of random isometric precoders over quasi-static and correlated fading channels. We derive deterministic approximations of the mutual informat…
Digital Twin-Empowered Communications: A New Frontier of Wireless Networks
Lina Bariah, Hikmet Sari, Merouane Debbah
The future of wireless network generations is revolving toward unlocking the opportunities offered by virtualization and digitization services, with the aim to realize improved qua…
Toward Beamfocusing-Aided Near-Field Communications: Research Advances, Potential, and Challenges
Jiancheng An, Chau Yuen, Linglong Dai +3
Next-generation mobile networks promise to support high throughput, massive connectivity, and improved energy efficiency. To achieve these ambitious goals, extremely large-scale an…
Centralized PPO-Based DRL for Multi-UAV-BS Positioning and Trajectory Optimization in Disaster Response Networks
Azim Akhtarshenas, Mario Rico Ibanez, Matteo Bernabe +2
Unmanned aerial vehicle-mounted base stations (UAV-BSs) constitute a flexible and effective solution for global positioning system (GPS)-free emergency and disaster scenarios, wher…
Machine Learning and Analytical Power Consumption Models for 5G Base Stations
Nicola Piovesan, David Lopez-Perez, Antonio De Domenico +3
The energy consumption of the fifth generation(5G) of mobile networks is one of the major concerns of the telecom industry. However, there is not currently an accurate and tractabl…
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…
Power Allocation Games for MIMO Multiple Access Channels with Coordination
Elena Veronica Belmega, Samson Lasaulce, Merouane Debbah
A game theoretic approach is used to derive the optimal decentralized power allocation (PA) in fast fading multiple access channels where the transmitters and receiver are equipped…
Channel Capacity Estimation using Free Probability Theory
Ãyvind Ryan, Merouane Debbah
In many channel measurement applications, one needs to estimate some characteristics of the channels based on a limited set of measurements. This is mainly due to the highly time v…
Adversarial Attacks and Defenses in 6G Network-Assisted IoT Systems
Bui Duc Son, Nguyen Tien Hoa, Trinh Van Chien +4
The Internet of Things (IoT) and massive IoT systems are key to sixth-generation (6G) networks due to dense connectivity, ultra-reliability, low latency, and high throughput. Artif…
Path Selection and Rate Allocation in Self-Backhauled mmWave Networks
Trung Kien Vu, Chen-Feng Liu, Mehdi Bennis +2
We investigate the problem of multi-hop scheduling in self-backhauled millimeter wave (mmWave) networks. Owing to the high path loss and blockage of mmWave links, multi-hop paths b…
Robust Beamforming with Gradient-based Liquid Neural Network
Xinquan Wang, Fenghao Zhu, Chongwen Huang +5
Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) communication with the advanced beamforming technologies is a key enabler to meet the growing demands of future mobil…
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…
Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis
Xueyao Zhang, Bo Yang, Zhiwen Yu +5
This paper investigates autonomous driving safety improvement via task offloading from cellular vehicles (CVs) to a multi-access edge computing (MEC) server using vehicle-to-infras…
Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks
Trung Kien Vu, Mehdi Bennis, Sumudu Samarakoon +2
In this paper, we study the problem of joint inband backhauling and interference mitigation in 5G heterogeneous networks (HetNets) in which a massive multiple-input multipleoutput…
Asymptotic Capacity and Optimal Precoding in MIMO Multi-Hop Relay Networks
Nadia Fawaz, Keyvan Zarifi, Merouane Debbah +1
A multi-hop relaying system is analyzed where data sent by a multi-antenna source is relayed by successive multi-antenna relays until it reaches a multi-antenna destination. Assumi…
Integration of Agentic AI with 6G Networks for Mission-Critical Applications: Use-case and Challenges
Sunder Ali Khowaja, Kapal Dev, Muhammad Salman Pathan +2
We are in a transformative era, and advances in Artificial Intelligence (AI), especially the foundational models, are constantly in the news. AI has been an integral part of many a…
Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks
Bo Yang, Xuelin Cao, Chongwen Huang +6
Increasing concerns on intelligent spectrum sensing call for efficient training and inference technologies. In this paper, we propose a novel federated learning (FL) framework, dub…
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…
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…
6G Network AI Architecture for Everyone-Centric Customized Services
Yang Yang, Mulei Ma, Hequan Wu +51
Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to…
Generative AI for RF Sensing in IoT systems
Li Wang, Chao Zhang, Qiyang Zhao +5
The development of wireless sensing technologies, using signals such as Wi-Fi, infrared, and RF to gather environmental data, has significantly advanced within Internet of Things (…
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…
A Bayesian Framework for Collaborative Multi-Source Signal Detection
Romain Couillet, Merouane Debbah
This paper introduces a Bayesian framework to detect multiple signals embedded in noisy observations from a sensor array. For various states of knowledge on the communication chann…
Joint Semantic-Native Communication and Inference via Minimal Simplicial Structures
Qiyang Zhao, Hang Zou, Mehdi Bennis +3
In this work, we study the problem of semantic communication and inference, in which a student agent (i.e. mobile device) queries a teacher agent (i.e. cloud sever) to generate hig…
Differential Spatial Modulation with Transmit Diversity for Pinching-Antenna Systems
Yiwei Tao, Yao Ge, Dong Li +2
Pinching antenna (PA) systems provide a new spatial degree of freedom by flexible activation of pinching positions. However, the resulting effective channel strongly depends on the…
Generative Adversarial Networks-Driven Cyber Threat Intelligence Detection Framework for Securing Internet of Things
Mohamed Amine Ferrag, Djallel Hamouda, Merouane Debbah +2
While the benefits of 6G-enabled Internet of Things (IoT) are numerous, providing high-speed, low-latency communication that brings new opportunities for innovation and forms the f…
Multi-User Opportunistic Beamforming using Reconfigurable Surfaces
Qurrat-Ul-Ain Nadeem, Anas Chaaban, Merouane Debbah
Multi-user (MU) diversity yields sum-rate gains by scheduling a user for transmission at times when its channel is near its peak. The only information required at the base station…
How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Emerging 6G visions, reflected in ongoing standardization efforts within 3GPP, IETF, ETSI, ITU-T, and the O-RAN Alliance, increasingly characterize networks as AI-native systems in…
A Deterministic Equivalent for the Analysis of Correlated MIMO Multiple Access Channels
Romain Couillet, Merouane Debbah, Jack W. Silverstein
In this article, novel deterministic equivalents for the Stieltjes transform and the Shannon transform of a class of large dimensional random matrices are provided. These results a…
Large Language Models for Telecom: Forthcoming Impact on the Industry
Ali Maatouk, Nicola Piovesan, Fadhel Ayed +2
Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing field…
A Differential Feedback Scheme Exploiting the Temporal and Spectral Correlation
Mingxin Zhou, Leiming Zhang, Lingyang Song +1
Channel state information (CSI) provided by limited feedback channel can be utilized to increase the system throughput. However, in multiple input multiple output (MIMO) systems, t…
Robust Precoding Designs for Multiuser MIMO Systems with Limited Feedback
Wentao Zhou, Di Zhang, Merouane Debbah +1
It has been well known that the achievable rate of multiuser multiple-input multiple-output systems with limited feedback is severely degraded by quantization errors when the numbe…
Electromagnetic Information Theory for Holographic MIMO Communications
Li Wei, Tierui Gong, Chongwen Huang +6
Holographic multiple-input multiple-output (HMIMO) utilizes a compact antenna array to form a nearly continuous aperture, thereby enhancing higher capacity and more flexible config…
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…
Deep Learning Based Online Power Control for Large Energy Harvesting Networks
Mohit K Sharma, Alessio Zappone, Merouane Debbah +1
In this paper, we propose a deep learning based approach to design online power control policies for large EH networks, which are often intractable stochastic control problems. In…
Optimal Linear Precoding in Multi-User MIMO Systems: A Large System Analysis
Luca Sanguinetti, Emil Bjornson, Merouane Debbah +1
We consider the downlink of a single-cell multi-user MIMO system in which the base station makes use of antennas to communicate with single-antenna user equipments (UEs) ra…
Magnetworks: how mobility impacts the design of Mobile Networks
Alonso Silva, Eitan Altman, Merouane Debbah +1
In this paper we study the optimal placement and optimal number of active relay nodes through the traffic density in mobile sensor ad-hoc networks. We consider a setting in which a…
Robust Millimeter Beamforming via Self-Supervised Hybrid Deep Learning
Fenghao Zhu, Bohao Wang, Zhaohui Yang +5
Beamforming with large-scale antenna arrays has been widely used in recent years, which is acknowledged as an important part in 5G and incoming 6G. Thus, various techniques are lev…
A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks
Hatim Chergui, Farhad Rezazadeh, Merouane Debbah +1
The path to higher network autonomy in 6G lies beyond the mere optimization of key performance indicators (KPIs), requiring systems that perceive and reason over the network enviro…
AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
The rapid advancement of large language models (LLMs) has sparked growing interest in their integration into autonomous systems for reasoning-driven perception, planning, and decis…
MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents
Belal S. Alsinglawi, Weizheng Wang, Junyi Wu +4
Smart-city airspace is transforming Uncrewed Aerial Vehicles (UAVs) from passive sensing platforms into cyber-physical decision makers that must follow operational rules under degr…
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…
Cross-Layer Design for Green Power Control
Vineeth S Varma, Samson Lasaulce, Yezekael Hayel +2
In this work, we propose a new energy efficiency metric which allows one to optimize the performance of a wireless system through a novel power control mechanism. The proposed metr…
Stochastic Design and Analysis of Wireless Cloud Caching Networks
Seyed Mohammad Azimi-Abarghouyi, Masoumeh Nasiri-Kenari, Merouane Debbah
This paper develops a stochastic geometry-based approach for the modeling, analysis, and optimization of wireless cloud caching networks comprised of multiple-antenna radio units (…
Ultra-Reliable Communication in 5G mmWave Networks: A Risk-Sensitive Approach
Trung Kien Vu, Mehdi Bennis, Merouane Debbah +2
This letter investigates the problem of providing gigabit wireless access with reliable communication in 5G millimeter-Wave (mmWave) massive multiple-input multiple-output (MIMO) n…
Distributed power control over interference channels using ACK/NACK feedback
Riccardo Andreotti, Leonardo Marchetti, Luca Sanguinetti +1
In this work, we consider a network composed of several single-antenna transmitter-receiver pairs in which each pair aims at selfishly minimizing the power required to achieve a gi…
Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas +2
This paper considers a massive MIMO system under the double scattering channels. We derive a closed-form expression of the uplink ergodic spectral efficiency (SE) by exploiting the…
Stacked Intelligent Metasurfaces for Multiuser Beamforming in the Wave Domain
Jiancheng An, Marco Di Renzo, Merouane Debbah +1
Reconfigurable intelligent surface has recently emerged as a promising technology for shaping the wireless environment by leveraging massive low-cost reconfigurable elements. Prior…
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…
Understanding Telecom Language Through Large Language Models
Lina Bariah, Hang Zou, Qiyang Zhao +3
The recent progress of artificial intelligence (AI) opens up new frontiers in the possibility of automating many tasks involved in Telecom networks design, implementation, and depl…
T-Parameters Based Modeling for Stacked Intelligent Metasurfaces: Tractable and Physically Consistent Model
Hamad Yahya, Matteo Nerini, Bruno Clerckx +1
This work develops a physically consistent model for stacked intelligent metasurfaces (SIM) using multiport network theory and transfer scattering parameters (T-parameters). Unlike…
Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models
Wanting Yang, Zehui Xiong, Shiwen Mao +4
The surge in connected devices in 6G with typical complex tasks requiring multi-user cooperation, such as smart agriculture and smart cities, poses significant challenges to unsust…
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…
A Mode-Matching Approach to the Design of RIS-Aided Communications
Ahmed Najjar, Hajar El Hassani, Marco Di Renzo +2
Reconfigurable intelligent surface (RIS) is an emerging technology for application to wireless communications. In this paper, we consider the problem of anomalous reflection and mo…
UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarios
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Autonomous aerial systems increasingly rely on large language models (LLMs) for mission planning, perception, and decision-making, yet the lack of standardized and physically groun…
Semantic-aided Parallel Image Transmission Compatible with Practical System
Mingkai Xu, Yongpeng Wu, Yuxuan Shi +4
In this paper, we propose a novel semantic-aided image communication framework for supporting the compatibility with practical separation-based coding architectures. Particularly,…
Cognitive Orthogonal Precoder for Two-tiered Networks Deployment
Marco Maso, Leonardo S. Cardoso, Merouane Debbah +1
In this work, the problem of cross-tier interference in a two-tiered (macro-cell and cognitive small-cells) network, under the complete spectrum sharing paradigm, is studied. A new…
Capacity Scaling of Massive MIMO in Strong Spatial Correlation Regimes
Junyoung Nam, Giuseppe Caire, Merouane Debbah +1
This paper investigates the capacity scaling of multicell massive MIMO systems in the presence of spatially correlated fading. In particular, we focus on the strong spatial correla…
System-Level Modeling and Optimization of the Energy Efficiency in Cellular Networks -- A Stochastic Geometry Framework
Marco Di Renzo, Alessio Zappone, Thanh Tu Lam +1
In this paper, we analyze and optimize the energy efficiency of downlink cellular networks. With the aid of tools from stochastic geometry, we introduce a new closed-form analytica…
Overhead-Aware Design of Reconfigurable Intelligent Surfaces in Smart Radio Environments
Alessio Zappone, Marco Di Renzo, Farshad Shams +2
Reconfigurable intelligent surfaces have emerged as a promising technology for future wireless networks. Given that a large number of reflecting elements is typically used, and tha…
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos +5
Wireless communication in the TeraHertz band (0.1--10 THz) is envisioned as one of the key enabling technologies for the future sixth generation (6G) wireless communication systems…
Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channels
Bingyan Xie, Yongpeng Wu, Yuxuan Shi +3
Though achieving marvelous progress in various scenarios, existing semantic communication frameworks mainly consider single-input single-output Gaussian channels or Rayleigh fading…
Problem-Adapted Artificial Intelligence for Online Network Optimization
Spyridon Vassilaras, Luigi Vigneri, Nikolaos Liakopoulos +4
Future 5G wireless networks will rely on agile and automated network management, where the usage of diverse resources must be jointly optimized with surgical accuracy. A number of…
Stacked Intelligent Metasurface Performs a 2D DFT in the Wave Domain for DOA Estimation
Jiancheng An, Chau Yuen, Marco Di Renzo +3
Staked intelligent metasurface (SIM) based techniques are developed to perform two-dimensional (2D) direction-of-arrival (DOA) estimation. In contrast to the conventional designs,…
Human-in-the-Loop Wireless Communications: Machine Learning and Brain-Aware Resource Management
Ali Taleb Zadeh Kasgari, Walid Saad, Merouane Debbah
Human-centric applications such as virtual reality and immersive gaming will be central to the future wireless networks. Common features of such services include: a) their dependen…
Agentic AI-RAN: Enabling Intent-Driven, Explainable and Self-Evolving Open RAN Intelligence
Zhizhou He, Yang Luo, Xinkai Liu +4
Open RAN (O-RAN) exposes rich control and telemetry interfaces across the Non-RT RIC, Near-RT RIC, and distributed units, but also makes it harder to operate multi-tenant, multi-ob…
Asymptotic Analysis of RZF over Double Scattering Channels with MMSE Estimation
Qurrat-Ul-Ain Nadeem, Abla Kammoun, Merouane Debbah +1
This paper studies the ergodic rate performance of regularized zero-forcing (RZF) precoding in the downlink of a multi-user multiple-input single-output (MISO) system, where the ch…
Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems
Xueyao Zhang, Chenyang Yan, Bo Yang +6
The paper proposes a multi‑agent reinforcement learning framework that quantifies the value of sensed information to enable collaborative, covert operations among autonomous underw…
Uplink Power Control in Massive MIMO with Double Scattering Channels
Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas +2
Massive multiple-input multiple-output (MIMO) is a key technology for improving the spectral and energy efficiency in 5G-and-beyond wireless networks. For a tractable analysis, mos…
SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead
Minsu Kim, Walid Saad, Merouane Debbah +1
The large communication and computation overhead of federated learning (FL) is one of the main challenges facing its practical deployment over resource-constrained clients and syst…
Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems
Qurrat-Ul-Ain Nadeem, Abla Kammoun, Anas Chaaban +2
This work focuses on the downlink of a single-cell multi-user system in which a base station (BS) equipped with antennas communicates with single-antenna users through a re…
6G V2X Technologies and Orchestrated Sensing for Autonomous Driving
Marouan Mizmizi, Mattia Brambilla, Dario Tagliaferri +10
6G technology targets to revolutionize the mobility industry by revamping the role of wireless connections. In this article, we draw out our vision on an intelligent, cooperative,…
Spectral Efficiency of Spectrum Pooling Systems
Majed Haddad, Aawatif Menouni Hayar, Merouane Debbah
In this contribution, we investigate the idea of using cognitive radio to reuse locally unused spectrum to increase the total system capacity. We consider a multiband/wideband syst…
RF-Analyzer: Can Vision-Language Models Learn RF Understanding from Synthetic Data?
Anis Bara, Lina Bariah, Hang Zou +2
Understanding the wireless spectrum is a fundamen- tal requirement for intelligent communication systems, however, interpreting spectrograms requires extracting multiple physical a…
Joint Channel Estimation and Signal Recovery for RIS-Empowered Multi-User Communications
Li Wei, Chongwen Huang, Qinghua Guo +5
Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks. Their dynamic and lowp…
Phase Configuration Learning in Wireless Networks with Multiple Reconfigurable Intelligent Surfaces
George C. Alexandropoulos, Sumudu Samarakoon, Mehdi Bennis +1
Reconfigurable Intelligent Surfaces (RISs) are recently gaining remarkable attention as a low-cost, hardware-efficient, and highly scalable technology capable of offering dynamic c…
A Distributed Approach to Interference Alignment in OFDM-based Two-tiered Networks
Marco Maso, Merouane Debbah, Lorenzo Vangelista
In this contribution, we consider a two-tiered network and focus on the coexistence between the two tiers at physical layer. We target our efforts on a long term evolution advanced…
Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review
Wei Jiang, Qiuheng Zhou, Jiguang He +11
Next-generation cellular technologies, commonly referred to as the 6G, are envisioned to support a higher system capacity, better performance, and network sensing capabilities. The…
Reconfiguring Wireless Environment via Intelligent Surfaces for 6G: Reflection, Modulation, and Security
Jindan Xu, Chau Yuen, Chongwen Huang +4
Reconfigurable intelligent surface (RIS) has been recognized as an essential enabling technique for the sixth-generation (6G) mobile communication network. Specifically, an RIS is…
Asymptotic Moments for Interference Mitigation in Correlated Fading Channels
Jakob Hoydis, Merouane Debbah, Mari Kobayashi
We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically tight deter…
Neural Precoding in Complex Projective Spaces
Zaid Abdullah, Merouane Debbah, Symeon Chatzinotas +1
Deep-learning (DL)-based precoding in multi-user multiple-input single-output (MU-MISO) systems involves training DL models to map features derived from channel coefficients to lab…
Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence
Adrien Basdevant, Camille François, Victor Storchan +13
Over the past year, there has been a robust debate about the benefits and risks of open sourcing foundation models. However, this discussion has often taken place at a high level o…
Fluid Antenna Port Prediction based on Large Language Models
Yali Zhang, Haifan Yin, Weidong Li +2
This study seeks to utilize large language models (LLMs) to forecast the moving ports of fluid antenna (FA). By repositioning the antenna to the locations identified by our propose…
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge
Ali Maatouk, Fadhel Ayed, Nicola Piovesan +3
We introduce TeleQnA, the first benchmark dataset designed to evaluate the knowledge of Large Language Models (LLMs) in telecommunications. Comprising 10,000 questions and answers,…
Opportunistic Interference Alignment in MIMO Interference Channels
Samir Medina Perlaza, Merouane Debbah, Samson Lasaulce +1
We present two interference alignment techniques such that an opportunistic point-to-point multiple input multiple output (MIMO) link can reuse, without generating any additional i…
Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing
Chen-Feng Liu, Mehdi Bennis, Merouane Debbah +1
To overcome devices' limitations in performing computation-intense applications, mobile edge computing (MEC) enables users to offload tasks to proximal MEC servers for faster task…
Reasoning Beyond Limits: Advances and Open Problems for LLMs
Mohamed Amine Ferrag, Norbert Tihanyi, Merouane Debbah
Recent breakthroughs in generative reasoning have fundamentally reshaped how large language models (LLMs) address complex tasks, enabling them to dynamically retrieve, refine, and…
Performance Analysis of Integrated Sub-6 GHz-Millimeter Wave Wireless Local Area Networks
Omid Semiari, Walid Saad, Mehdi Bennis +1
Millimeter wave (mmW) communications at the 60 GHz unlicensed band is seen as a promising approach for boosting the capacity of wireless local area networks (WLANs). If properly in…
Active Inference as the Test-Time Scaling Law for Physical AI Agents
Omar Hashash, Christo Kurisummoottil Thomas, Walid Saad +3
In this paper, a novel test-time scaling law for physical artificial intelligence (AI) agents is introduced. This scaling law enables physical AI agents to reason with their world…
Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
Mohamed Sana, Nicola Piovesan, Antonio De Domenico +4
Root Cause Analysis (RCA) in mobile networks remains a challenging task due to the need for interpretability, domain expertise, and causal reasoning. In this work, we propose a lig…
BAQ: Efficient Bit Allocation Quantization for Large Language Models
Chao Zhang, Li Wang, Samson Lasaulce +1
Post-training model quantization is a widely adopted technique for reducing the memory and computational costs of large language models (LLMs). However, most existing methods rely…
-SecBench: A Large-Scale Evaluation Suite of Security, Resilience, and Trust for LLM-based UAV Agents over 6G Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Autonomous unmanned aerial vehicle (UAV) systems are increasingly deployed in safety-critical, networked environments where they must operate reliably in the presence of malicious…
Transmit Power Minimization in Small Cell Networks Under Time Average QoS Constraints
Subhash Lakshminarayana, Mohamad Assaad, Merouane Debbah
We consider a small cell network (SCN) consisting of N cells, with the small cell base stations (SCBSs) equipped with Nt \geq 1 antennas each, serving K single antenna user termina…
TelcoAgent-Bench: A Multilingual Benchmark for Telecom AI Agents
Lina Bariah, Brahim Mefgouda, Farbod Tavakkoli +3
The integration of large language model (LLM) agents into telecom networks introduces new challenges, related to intent recognition, tool execution, and resolution generation, whil…
Per-antenna power constraints: constructing Pareto-optimal precoders with cubic complexity under non-negligible noise conditions
Sergey Petrov, Samson Lasaulce, Merouane Debbah
Precoding matrix construction is a key element of the wireless signal processing using the multiple-input and multiple-output model. It is established that the problem of global th…
Performance of mutual information inference methods under unknown interference
Abla Kammoun, Romain Couillet, Jamal Najim +1
The problem of fast point-to-point MIMO channel mutual information estimation is addressed, in the situation where the receiver undergoes unknown colored interference, whereas the…
User Association and Load Balancing for Massive MIMO through Deep Learning
Alessio Zappone, Luca Sanguinetti, Merouane Debbah
This work investigates the use of deep learning to perform user cell association for sum-rate maximization in Massive MIMO networks. It is shown how a deep neural network can be tr…
Cooperative Multi-Agent Deep Reinforcement Learning Methods for UAV-aided Mobile Edge Computing Networks
Mintae Kim, Hoon Lee, Sangwon Hwang +2
This paper presents a cooperative multi-agent deep reinforcement learning (MADRL) approach for unmmaned aerial vehicle (UAV)-aided mobile edge computing (MEC) networks. An UAV with…
Goal-Oriented State Information Compression for Linear Dynamical System Control
Li Wang, Chao Zhang, Samson Lasaulce +2
In this paper, we consider controlled linear dynamical systems in which the controller has only access to a compressed version of the system state. The technical problem we investi…