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Multi-Agent Reinforcement Learning (MARL) has become a powerful framework for numerous real-world applications, modeling distributed decision-making and learning from interactions with complex environments. Resource Allocation Optimization…

Multiagent Systems · Computer Science 2025-05-01 Mohamad A. Hady , Siyi Hu , Mahardhika Pratama , Jimmy Cao , Ryszard Kowalczyk

This paper presents the current state-of-the-art of massive antenna array architectures with significant front-end hardware savings, as an enabler for future small and powerful cell nodes that will be able to carry massive MIMO technology.…

Networking and Internet Architecture · Computer Science 2014-07-30 Vlasis I. Barousis , Mohammad A. Sedaghat , Ralf R. Müller , Constantinos B. Papadias

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas. Such large antenna arrays offer huge spatial degrees-of-freedom for transmission…

Information Theory · Computer Science 2014-03-20 Emil Björnson , Michail Matthaiou , Mérouane Debbah

Enhancing future wireless networks presents a significant challenge for networking systems due to diverse user demands and the emergence of 6G technology. While reinforcement learning (RL) is a powerful framework, it often encounters…

Networking and Internet Architecture · Computer Science 2026-02-17 Jie Zheng , Ruichen Zhang , Dusit Niyato , Haijun Zhang , Jiacheng Wang , Hongyang Du , Jiawen Kang , Zehui Xiong

In this paper, we consider power allocation and antenna activation of cell-free massive multiple-input multiple-output (CFmMIMO) systems. We first derive closed-form expressions for the system spectral efficiency (SE) and energy efficiency…

Signal Processing · Electrical Eng. & Systems 2026-04-13 Phuong Nam Tran , Nhan Thanh Nguyen , Hien Quoc Ngo , Markku Juntti

Multiple antenna technologies have attracted large research interest for several decades and have gradually made their way into mainstream communication systems. Two main benefits are adaptive beamforming gains and spatial multiplexing,…

Information Theory · Computer Science 2020-03-26 Jiayi Zhang , Emil Björnson , Michail Matthaiou , Derrick Wing Kwan Ng , Hong Yang , David J. Love

Wireless devices are expected to provide a wide range of AI services in 6G networks. The increasing computing capabilities of wireless devices and the surge of wireless data motivate the use of privacy-preserving federated learning (FL). In…

Signal Processing · Electrical Eng. & Systems 2025-01-31 Chen Chen , Emil Björnson , Carlo Fischione

Due to its communication efficiency and privacy-preserving capability, federated learning (FL) has emerged as a promising framework for machine learning in 5G-and-beyond wireless networks. Of great interest is the design and optimization of…

Information Theory · Computer Science 2022-06-13 Tung T. Vu , Duy T. Ngo , Hien Quoc Ngo , Minh N. Dao , Nguyen H. Tran , Richard H. Middleton

In a cell-free (CF) massive MIMO architecture a very large number of distributed access points (APs) simultaneously and jointly serves a much smaller number of mobile stations (MSs); a variant of the cell-free technique is the user-centric…

Information Theory · Computer Science 2017-11-07 Mario Alonzo , Stefano Buzzi

Cell-Free (CF) Massive multiple-input multiple-output(MIMO) is a distributed antenna system, wherein a large number of back-haul linked access points randomly distributed over a coverage area serve simultaneously a smaller number of users.…

Information Theory · Computer Science 2018-06-26 Salah Eddine Hajri , Juwendo Denis , Mohamad Assaad

In this paper, we adapt to cell-free Massive MIMO (multiple-input multiple-output) the finite-blocklength framework introduced by \"Ostman et al. (2020) for the characterization of the packet error probability achievable with Massive MIMO,…

Information Theory · Computer Science 2021-07-23 Alejandro Lancho , Giuseppe Durisi , Luca Sanguinetti

In the evolving landscape of sixth-generation (6G) mobile communication, multiple-input multiple-output (MIMO) systems are incorporating an unprecedented number of antenna elements, advancing towards Extremely large-scale…

Signal Processing · Electrical Eng. & Systems 2026-01-30 Yuan Gao , Xinyu Guo , Han Li , Jianbo Du , Shugong Xu

Cell-free massive multiple-input multiple-output (MIMO) implemented in virtualized cloud radio access networks (V-CRAN) has emerged as a promising architecture to enhance spectral efficiency (SE), network flexibility, and energy efficiency…

Signal Processing · Electrical Eng. & Systems 2025-09-23 Derya Nurcan-Atceken , Özlem Tuğfe Demir , Aysegul Altin-Kayhan , Emil Björnson , Cicek Cavdar , Bulent Tavli

The recently envisioned goal-oriented communications paradigm calls for the application of inference on wirelessly transferred data via Machine Learning (ML) tools. An emerging research direction deals with the realization of inference ML…

Signal Processing · Electrical Eng. & Systems 2026-04-10 Kyriakos Stylianopoulos , Mattia Fabiani , Giulia Torcolacci , Davide Dardari , George C. Alexandropoulos

Multi-agent systems (MAS) are widely prevalent and crucially important in numerous real-world applications, where multiple agents must make decisions to achieve their objectives in a shared environment. Despite their ubiquity, the…

Multiagent Systems · Computer Science 2024-07-04 Dom Huh , Prasant Mohapatra

The spatial degrees of freedom (DoFs) greatly increase in the near-field region of millimeter wave or terahertz multiple-input multiple-output communications with extremely large antenna arrays (XL-MIMO). To employ the increased spatial…

Information Theory · Computer Science 2023-05-18 Shuaishuai Guo , Kaiqian Qu

In this paper, we show that an eXtremely Large (XL) Multiple-Input Multiple-Output (MIMO) wireless system with appropriate analog combining components exhibits the properties of a universal function approximator, similar to a feedforward…

Signal Processing · Electrical Eng. & Systems 2026-04-13 Kyriakos Stylianopoulos , George C. Alexandropoulos

This paper studies the security aspect of a recently introduced network ("cell-free massive MIMO") under a pilot spoofing attack. Firstly, a simple method to recognize the presence of this type of an active eavesdropping attack to a…

Information Theory · Computer Science 2018-05-14 Tiep M. Hoang , Hien Quoc Ngo , Trung Q. Duong , Hoang D. Tuan , Alan Marshall

Cell-free massive multiple-input multiple-output (MIMO) employs a large number of distributed access points (APs) to serve a small number of user equipments (UEs) via the same time/frequency resource. Due to the strong macro diversity gain,…

Information Theory · Computer Science 2021-11-23 Jiayi Zhang , Jing Zhang , Derrick Wing Kwan Ng , Shi Jin , Bo Ai

In different wireless network scenarios, multiple network entities need to cooperate in order to achieve a common task with minimum delay and energy consumption. Future wireless networks mandate exchanging high dimensional data in dynamic…

Machine Learning · Computer Science 2023-09-13 Marwa Chafii , Salmane Naoumi , Reda Alami , Ebtesam Almazrouei , Mehdi Bennis , Merouane Debbah
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