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An AI-Based Incumbent Protection System for Collaborative Intelligent Radio Networks

Miguel Camelo, Ruben Mennes, Adnan Shahid, Jakob Struye, Carlos Donato, Irfan Jabandzic, Spilios Giannoulis, Farouk Mahfoudhi, Prasanthi Maddala, Ivan Seskar, Ingrid Moerman, Steven Latre
2020 IEEE wireless communications  
As a solution, the Spectrum Collaboration Challenge (SC2) challenge has shown that Collaborative Intelligent Radio Network (CIRN), i.e., Artificial Intelligence (AI)based autonomous wireless radio technologies  ...  In this paper, we present the architectural design and the experimental validation of an incumbent protection system for the next generation of spectrum sharing frameworks.  ...  We proposed and implemented an AI-based two-step algorithm that protects the incumbent.  ... 
doi:10.1109/mwc.001.2000032 fatcat:6onnd354bvfknoxftpf2v3jpcu

Spectrum and Energy Efficient Wireless Communications

Qilian Liang, Tariq S. Durrani, Jinhwan Koh, Qiong Wu, Xin Wang
2020 IEEE wireless communications  
Currently, he is working as a software engineer researcher at eero to build the embedded mesh operating system and mostly contributing to the network layer and transport layer of the kernel wireless stack  ...  His research interests include wireless communications, hybrid wireless networks, statistical signal processing, and wireless sensor networks.  ...  In the article entitled "An AI-based Incumbent Protection System for Collaborative Intelligent Radio Networks" the architectural design and the experimental validation of an incumbent protection system  ... 
doi:10.1109/mwc.2020.9241878 fatcat:dfkxr5f4d5etrphfi6itcwad64

A Comprehensive Survey of Spectrum Sharing Schemes from a Standardization and Implementation Perspective [article]

Mohammad Parvini, Amir Hossein Zarif, Ali Nouruzi, Nader Mokari, Mohammad Reza Javan, Bijan Abbasi, Amir Ghasemi, Halim Yanikomeroglu
2022 arXiv   pre-print
Next, we analyze applications of artificial intelligence (AI) and machine learning (ML) techniques for facilitating spectrum sharing mechanisms and leveraging the full potential of autonomous sharing scenarios  ...  As the services and requirements of next-generation wireless networks become increasingly diversified, it is estimated that the current frequency bands of mobile network operators (MNOs) will be unable  ...  In the DARPA spectrum collaboration challenge, the GatorWings team developed a collaborative intelligent radio network (CIRN) that could independently sense the entire communication environment, including  ... 
arXiv:2203.11125v1 fatcat:h2mjxhjfgfe5dgk6lb46i2f6cu

A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications

Nahla Nurelmadina, Mohammad Kamrul Hasan, Imran Memon, Rashid A. Saeed, Khairul Akram Zainol Ariffin, Elmustafa Sayed Ali, Rania A. Mokhtar, Shayla Islam, Eklas Hossain, Md. Arif Hassan
2021 Sustainability  
It will protect the network layer from offering the customers an efficient platform to rent AI, and various LPWAN technology were explored and investigated.  ...  The progress of IIoT communications, mainly based on cognitive radio (CR), has been guided to the robust network connectivity.  ...  The C-LPWAN based on an AI-enabled engine has been presented in [57] .  ... 
doi:10.3390/su13010338 fatcat:rcgudnh32vhkhn4kb652d4mspm

Applications of Intelligent Radio Technologies in Unlicensed Cellular Networks - A Survey

2021 KSII Transactions on Internet and Information Systems  
On the other hand, artificial intelligence (AI) has attracted enormous attention to implement 5G and beyond systems, which is known as Intelligent Radio (IR).  ...  Generally speaking, ML techniques are used in IR based on statistical models established for solving specific optimization problems.  ...  Simultaneously, incumbent systems are protected by Citizens Broadband Radio Service Device (CBSD).  ... 
doi:10.3837/tiis.2021.07.020 fatcat:uzb3gqtsezcgzehvjige3vgiwq

Deliverable D2.1 - Trends, Status and Plans for advanced wireless

Alain Mourad, Per Hjalmar Lehne, Ole Grndalen, Antonio De La Oliva
2019 Zenodo  
ITU-R) to set the requirements for future B5G systems. 3) B5G wireless technology trends captured from the studies around the next batch of future wireless standard releases in 3GPP (e.g.  ...  the evolution of 5G in the short, medium and long terms, despite the figures presented being speculative as there doesn't exist yet an international industry effort (e.g.  ...  E2E system (network, device and application) optimization with pervasive collaborative intelligence distributed across terminals, edge, fog and cloud.  ... 
doi:10.5281/zenodo.6012791 fatcat:hsybscvi2vghtisgribz55hzpy

Trends, Status and Plans for advanced wireless

Per Hjalmar Lehne, Ole Grondalen, Antonio De La Oliva, Alain Mourad
2020 Zenodo  
consideration in the forthcoming wireless standards. 5) Wireless spectrum trends for 5G and B5G including trends for unlicensed spectrum, dedicated spectrum for verticals, spectrum sharing, and very high  ...  the evolution of 5G in the short, medium and long terms, based on the consultation of the first EMPOWER wireless technology roadmap. 3) B5G wireless technology trends captured from the studies around  ...  platforms like LEO-satellite systems and high altitude platforms (HAPS).  ... 
doi:10.5281/zenodo.6012862 fatcat:nazvgu6c5jbehmsa5xa3ycmcs4

Six Insights into 6G: Orientation and Input for Developing Your Strategic 6G Research Plan [article]

Kimberley Parsons Trommler, Matthias Hafner, Wolfgang Kellerer, Peter Merz, Sigurd Schuster, Josef Urban, Uwe Baeder, Bertram Gunzelmann, Andreas Kornbichler
2022 arXiv   pre-print
research, again based on the input received in the workshops.  ...  Based on these six impact areas and on the discussion in the workshops, we compiled a list of the top 10 recommendations for specific areas where organizations should place their focus when developing  ...  Focus on explainable,reliable AI with measurable KPIs To help mitigate risks due to AI, develop quality indicators and standards for AI-based systems.  ... 
arXiv:2203.13094v2 fatcat:nvqhdxghmnfi7e7zg53452lfty

Convergence of Information-Centric Networks and Edge Intelligence for IoV: Challenges and Future Directions

Salahadin Seid Musa, Marco Zennaro, Mulugeta Libsie, Ermanno Pietrosemoli
2022 Future Internet  
AI has recently emerged as a powerful tool to break through obstacles in various research areas including that of intelligent transport systems (ITS).  ...  Advances in information-centric networks (ICN), edge computing (EC), and artificial intelligence (AI) will transform and help to realize the Intelligent Internet of Vehicles (IIoV).  ...  In the US, FCC has allocated the same band under the control of an automated frequency control (AFC) system to protect incumbent users, at the standard power levels that are currently permitted in the  ... 
doi:10.3390/fi14070192 fatcat:knlyn5uaurarlhq7a5p66rwrgi

Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

Gyanendra Joshi, Seung Nam, Sung Kim
2013 Sensors  
The sensing schemes suited for cognitive radio wireless sensor networks scenarios are discussed with an emphasis on cooperation and spectrum access methods that ensure the availability of the required  ...  A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access.  ...  Some examples include artificial neural networks (ANNs), metaheuristic algorithms, hidden Markov models (HMMs), rule-based systems, ontology-based systems (OBSs), and case-based systems (CBSs).  ... 
doi:10.3390/s130911196 pmid:23974152 pmcid:PMC3821336 fatcat:2lhysftvu5b3dblei5jx4t7ase

A Spectrum Sharing Framework for Intelligent Next Generation Wireless Networks

Felipe A. P. De Figueiredo, Xianjun Jiao, Wei Liu, Ruben Mennes, Irfan Jabandzic, Ingrid Moerman
2018 IEEE Access  
INDEX TERMS Next generation wireless networks, cognitive radios, collaborative intelligent radio networks, spectrum sharing, coexistence, experimental evaluation. 60704 2169-3536  ...  Therefore, in this paper, we present an open source software-defined radio-based framework that can be employed to devise disruptive techniques to optimize the sub-optimal use of radio spectrum that exists  ...  , etc.) to collaborative and intelligent radio networks (i.e., networks where AI and ML components act as the brain of the system and control various aspects of medium access and PHY layers to ensure adaptability  ... 
doi:10.1109/access.2018.2875047 fatcat:kaj26tusffeb5fvdecueygukne

ICT Keeping COVID-19-Hit Economy Afloat and Spearheading Recovery [Mobile Radio]

Claudio Casetti
2021 IEEE Vehicular Technology Magazine  
AI-Powered Radio Access Trial on Live 5G Network On 21 January 2021, Nokia and China Mobile (CMCC) announced that they had successfully completed live trials of an artificial intelligence (AI)-powered  ...  The three companies have reached a new maximum throughput speed record in the live network with the Ericsson Radio System complete base station for mm-wave, the Streetmacro 6701.  ... 
doi:10.1109/mvt.2021.3073190 fatcat:dwkl6g47rvajfmntwqzfmedija

A TV whitespace ecosystem for licensed cognitive radio

Tim Forde, Linda Doyle
2013 Telecommunications Policy  
The analysis shows that regulators have already formulated many of the policy tools necessary to create a coherent ecosystem for license-based exploitation of TV whitespace by cognitive radios and that  ...  The paper suggests that markets for pragmatically conceived cognitive radios can be safely exploited within the confines of licensed spectrum, rather than solely in the domain of unlicensed opportunistic  ...  Acknowledgements This material is based upon works supported by Science Foundation Ireland (SFI) under Grant no. 10/CE/I1853.  ... 
doi:10.1016/j.telpol.2012.07.005 fatcat:33clgzfxhjcolilwkqxadlhf74

Automotive Intelligence Embedded in Electric Connected Autonomous and Shared Vehicles Technology for Sustainable Green Mobility

Ovidiu Vermesan, Reiner John, Patrick Pype, Gerardo Daalderop, Kai Kriegel, Gerhard Mitic, Vincent Lorentz, Roy Bahr, Hans Erik Sand, Steffen Bockrath, Stefan Waldhör
2021 Frontiers in Future Transportation  
The safety and transparency of AI-based technology and the explainability of the purpose, use, benefits, and limitations of AI systems are critical for fulfilling trustworthiness requirements.  ...  ECAS vehicle technology trustworthiness, including AI-based HW/SW and algorithms, is necessary for developing ECAS systems across the entire automotive ecosystem.  ...  Song et al. (2020) offered an IDS based on a deep convolutional neural network to protect the CAN bus.  ... 
doi:10.3389/ffutr.2021.688482 fatcat:3yr2mvmoanadxpk6zcbgbtjiy4

White Paper on Business of 6G [article]

Seppo Yrjola, Petri Ahokangas, Marja Matinmikko-Blue, Risto Jurva, Vivek Kant, Pasi Karppinen, Marianne Kinnula, Harilaos Koumaras, Mika Rantakokko, Volker Ziegler, Abhishek Thakur, Hans-Jurgen Zepernick
2020 arXiv   pre-print
assessed for a traditional incumbent mobile network operator and a novel 6G digital service provider stemming from redefined sustainable economics.  ...  Developing products, services and vertical applications for the future digitized society in the 6G era requires a multidisciplinary approach and a re-definition of how we create, deliver and consume network  ...  In a future flexible cognitive network with self-optimizing radios, AI and ML can be used in concert with radio sensing and positioning to learn about the static and dynamic components of the radio environment  ... 
arXiv:2005.06400v2 fatcat:vd7l7w4drfesloz5lmcudzqo4a
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