Open AccessPosted Content
What Will the Future of UAV Cellular Communications Be? A Flight from 5G to 6G.
Giovanni Geraci,Adrian Garcia-Rodriguez,Mohammad Mahdi Azari,Angel Lozano,Marco Mezzavilla,Symeon Chatzinotas,Yun Chen,Sundeep Rangan,Marco Di Renzo +8 more
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In this article, the authors address the future of UAV cellular communications by embarking on a journey from 5G to 6G and sharing a large number of realistic case studies.Abstract:
What will the future of UAV cellular communications be? In this tutorial
article, we address such a compelling yet difficult question by embarking on a
journey from 5G to 6G and sharing a large number of realistic case studies
supported by original results. We start by overviewing the status quo on UAV
communications from an industrial standpoint, providing fresh updates from the
3GPP and detailing new 5G NR features in support of aerial devices. We then
show the potential and the limitations of such features. In particular, we
demonstrate how sub-6 GHz massive MIMO can successfully tackle cell selection
and interference challenges, we showcase encouraging mmWave coverage
evaluations in both urban and suburban/rural settings, and we examine the
peculiarities of direct device-to-device communications in the sky. Moving on,
we sneak a peek at next-generation UAV communications, listing some of the use
cases envisioned for the 2030s. We identify the most promising 6G enablers for
UAV communication, those expected to take the performance and reliability to
the next level. For each of these disruptive new paradigms (non-terrestrial
networks, cell-free architectures, artificial intelligence, reconfigurable
intelligent surfaces, and THz communications), we gauge the prospective
benefits for UAVs and discuss the main technological hurdles that stand in the
way. All along, we distil our numerous findings into essential takeaways, and
we identify key open problems worthy of further study.read more
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Posted Content
Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Towards 6G.
Mojtaba Vaezi,Amin Azari,Saeed R. Khosravirad,Mahyar Shirvanimoghaddam,Mohammad Mahdi Azari,Danai Chasaki,Petar Popovski +6 more
TL;DR: In this paper, the authors provide a comprehensive survey on existing and emerging communication solutions for serving IoT applications in the context of cellular, wide-area, as well as non-terrestrial networks.
Posted Content
Generative Neural Network Channel Modeling for Millimeter-Wave UAV Communication
William Xia,Sundeep Rangan,Marco Mezzavillla,Angel Lozano,Giovanni Geraci,Vasilii Semkin,Giuseppe Loianno +6 more
TL;DR: A general modeling methodology based on data-training a generative neural network that generates the path losses, delays, and angles of arrival and departure for all the propagation paths between UAVs and a cellular system in representative urban environments.
Journal ArticleDOI
Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey
TL;DR: In this article, a detailed review of probabilistic spectrum sensing methods classified by the feature they extract from the received signal samples, to provide accurate detection of the primary user (PU) signal.
Posted Content
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey.
Mohammad Mahdi Azari,Sourabh Solanki,Symeon Chatzinotas,Oltjon Kodheli,Hazem Sallouha,Achiel Colpaert,Jesus Fabian Mendoza Montoya,Sofie Pollin,Alireza Haqiqatnejad,Arsham Mostaani,Eva Lagunas,Bjorn Ottersten +11 more
TL;DR: In this article, a comprehensive survey of the evolution of non-terrestrial networks (NTNs) highlighting its relevance to 5G networks and how it will play a pivotal role in the development of 6G and beyond wireless networks is presented.
Proceedings ArticleDOI
Lightweight UAV-based Measurement System for Air-to-Ground Channels at 28 GHz
Vasilii Semkin,Seongjoon Kang,Jaakko Haarla,William Xia,Ismo Huhtinen,Giovanni Geraci,Angel Lozano,Giuseppe Loianno,Marco Mezzavilla,Sundeep Rangan +9 more
TL;DR: In this article, a 1.3kg UAV was used for channel measurement at 28GHz with a ground transmitter equipped with a horn antenna and a UAV equipped with spectrum analyzer.
References
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Reinforcement Learning: An Introduction
TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
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Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays
Fredrik Rusek,Daniel Persson,Buon Kiong Lau,Erik G. Larsson,Thomas L. Marzetta,Fredrik Tufvesson +5 more
TL;DR: The gains in multiuser systems are even more impressive, because such systems offer the possibility to transmit simultaneously to several users and the flexibility to select what users to schedule for reception at any given point in time.
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Wireless communications with unmanned aerial vehicles: opportunities and challenges
TL;DR: An overview of UAV-aided wireless communications is provided, by introducing the basic networking architecture and main channel characteristics, highlighting the key design considerations as well as the new opportunities to be exploited.
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A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
TL;DR: This article identifies the primary drivers of 6G systems, in terms of applications and accompanying technological trends, and identifies the enabling technologies for the introduced 6G services and outlines a comprehensive research agenda that leverages those technologies.
Journal ArticleDOI
Wireless Communications Through Reconfigurable Intelligent Surfaces
Ertugrul Basar,Marco Di Renzo,Julien de Rosny,Merouane Debbah,Mohamed-Slim Alouini,Rui Zhang +5 more
TL;DR: In this paper, the authors provide a detailed overview and historical perspective on state-of-the-art solutions, and elaborate on the fundamental differences with other technologies, the most important open research issues to tackle, and the reasons why the use of reconfigurable intelligent surfaces necessitates to rethink the communication-theoretic models currently employed in wireless networks.
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