Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …
computer vision, natural language processing, and speech recognition by its strong …
Domain generalization in machine learning models for wireless communications: Concepts, state-of-the-art, and open issues
Data-driven machine learning (ML) is promoted as one potential technology to be used in
next-generation wireless systems. This led to a large body of research work that applies ML …
next-generation wireless systems. This led to a large body of research work that applies ML …
Evolution toward 6G multi-band wireless networks: A resource management perspective
In this article, we first present the vision, key performance indicators, key enabling
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
Actor-critic methods for IRS design in correlated channel environments: A closer look into the neural tangent kernel of the critic
S Evmorfos, AP Petropulu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The article studies the design of an Intelligent Reflecting Surface (IRS) in order to support a
Multiple-Input-Single-Output (MISO) communication system operating in a mobile …
Multiple-Input-Single-Output (MISO) communication system operating in a mobile …
Deep reinforcement learning for practical phase-shift optimization in RIS-aided MISO URLLC systems
We study the joint active/passive beamforming and channel blocklength (CBL) allocation in
a nonideal reconfigurable intelligent surface (RIS)-aided ultrareliable and low-latency …
a nonideal reconfigurable intelligent surface (RIS)-aided ultrareliable and low-latency …
Evolution toward 6G wireless networks: A resource management perspective
In this article, we first present the vision, key performance indicators, key enabling
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
Deep reinforcement learning for IRS phase shift design in spatiotemporally correlated environments
The paper studies the problem of designing the Intelligent Reflecting Surface (IRS) phase
shifters for Multiple Input Single Output (MISO) communication systems in spatiotemporally …
shifters for Multiple Input Single Output (MISO) communication systems in spatiotemporally …
Unmanned Vehicles in 6G Networks: A Unifying Treatment of Problems, Formulations, and Tools
W Hurst, S Evmorfos, A Petropulu, Y Mostofi - arXiv preprint arXiv …, 2024 - arxiv.org
Unmanned Vehicles (UVs) functioning as autonomous agents are anticipated to play a
crucial role in the 6th Generation of wireless networks. Their seamless integration, cost …
crucial role in the 6th Generation of wireless networks. Their seamless integration, cost …
Reconfigurable intelligent surface in URLLC wireless systems
R Hashemi - 2023 - oulurepo.oulu.fi
The aim of this thesis is to devise novel promising frameworks, eg, statistical analyses, as
well as performing optimization algorithms, and applying novel machine learning (ML) …
well as performing optimization algorithms, and applying novel machine learning (ML) …
Intelligent Reflecting Surfaces (IRS)‐Aided Cellular Networks and Deep Learning‐Based Design
This chapter develops an iterative optimization framework to maximize the data rate of a
given user by jointly optimizing the mode selection (ie direct mode where user is served by …
given user by jointly optimizing the mode selection (ie direct mode where user is served by …