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AI and ML – Enablers for Beyond 5G Networks

Alexandros Kaloxylos, Anastasius Gavras, Daniel Camps Mur, Mir Ghoraishi, Halid Hrasnica
2020 Zenodo  
The white paper introduces the main relevant mechanisms in Artificial Intelligence and Machine Learning currently investigated and exploited for 5G and beyond 5G networks.  ...  This white paper on AI/ML as enablers of 5G and B5G networks is based on contributions from 5G PPP projects that research, implement and validate 5G and B5G network systems.  ...  The identified challenges and corresponding opportunities given by AI/ML will affect different network aspects, layers, and functions and even create new requirements for the architecture of future mobile  ... 
doi:10.5281/zenodo.4299895 fatcat:ngzbopfm6bb43lnrmep6nz5icm

6G: the Wireless Communications Network for Collaborative and AI Applications [article]

Razvan-Andrei Stoica, Giuseppe Thadeu Freitas de Abreu
2019 arXiv   pre-print
AI revolution.  ...  At the dawn of 5G, we take a leap forward and present an original vision of wireless communication beyond its horizon towards 6G: a paradigm-shifting perspective of wireless networks on the cusp of an  ...  Learning from this recent history, we believe that PHY research will not become extinct but will transform and solve future challenges along the road, as discussed in the prequel.  ... 
arXiv:1904.03413v1 fatcat:zylwcktiyndpfedujatgltouim

A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook [article]

Arnau Rovira-Sugranes, Abolfazl Razi, Fatemeh Afghah, Jacob Chakareski
2021 arXiv   pre-print
We conclude by presenting future trends, and the remaining challenges in AI-based UAV networking, for different aspects of routing, connectivity, topology control, security and privacy, energy efficiency  ...  This paper reviews AI-enabled routing protocols designed primarily for aerial networks, including topology-predictive and self-adaptive learning-based routing algorithms, with an emphasis on accommodating  ...  We also reviewed future trends and the remaining challenges for AI-based networking.  ... 
arXiv:2104.01283v2 fatcat:p2vgtckponfm5flwz4dscf7dju

Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: The Next Frontier for Intelligent Safe Driving Assessment [article]

Le Xia, Yao Sun, Rafiq Swash, Lina Mohjazi, Lei Zhang, Muhammad Ali Imran
2022 arXiv   pre-print
Finally, we discuss several open challenges that need to be addressed in future CAV networks.  ...  Diverse malicious network attacks are ubiquitous, along with the worldwide implementation of the Internet of Vehicles, which exposes a range of reliability and privacy threats for managing data in CAV  ...  ACKNOWLEDGEMENTS This work was supported by the PETRAS National Centre of Excellence for IoT Systems Cybersecurity, which has been funded by the UK EPSRC under grant number EP/S035362/1.  ... 
arXiv:2104.04572v5 fatcat:e6yn2hb6vjgxvibqtny2c52rrm

Deep Q-network for social robotics using emotional social signals

José Pedro R. Belo, Helio Azevedo, Josué J. G. Ramos, Roseli A. F. Romero
2022 Frontiers in Robotics and AI  
For this, we propose an architecture, Social Robotics Deep Q-Network (SocialDQN), for teaching social robots to behave and interact appropriately with humans based on social signals, especially on human  ...  From one side, the use of Reinforcement Learning (RL) represents a way for social robots to learn advanced models of social cognition, following a self-learning paradigm, using characteristics automatically  ...  ("deep reinforcement learning").Frontiers in Robotics and AI Frontiers in Robotics and AI  ... 
doi:10.3389/frobt.2022.880547 fatcat:twwylj6k7zdw5gpq3rtrefr2h4

DetEEktor: Mask-R CNN based neural network for energy plant identification on aerial photographs

Maximilian Schulz, Bilel Boughattas, Frank Wendel
2021 Energy and AI  
neural network.  ...  For an optimal integration, a comprehensive knowledge of the installed RE systems and their characteristics is required.  ...  Acknowledgments The authors gratefully acknowledge the support of the Ministry of the Environment, Climate Protection and the Energy Sector Baden-Württemberg and the support of their institute.  ... 
doi:10.1016/j.egyai.2021.100069 fatcat:ytptwzzhvbc2zh6xnadihnyyuu

Designing a 'concept of operations' architecture for next-generation multi-organisational service networks

Tomás Seosamh Harrington, Jagjit Singh Srai
2016 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
For B2B systems, emerging 'product-service' offerings are requiring greater visibility, alignment and integration across an increasingly complex network of multiple partners and collaborators, in order  ...  This article extends our theoretical understanding of network organisations, from a traditional 'product' perspective to that of 'services', and presents the case for developing a common, unified approach  ...  The cases exhibited a variety of complex multipartner arrangements, which served to highlight major challenges and opportunities for research in the design, integration and coordination of dispersed multi-organisational  ... 
doi:10.1007/s00146-016-0664-5 fatcat:utriequlbbevnekza6dpsi25pq

A Design Methodology and Implementation for Corporate Network Security Visualization: A Modular-Based Approach

Andy Luse, Brian Mennecke, Janea Triplett, Nate Karstens, Doug Jacobson
2011 AIS Transactions on Human-Computer Interaction  
Research surrounding visualization for computer and network security has produced differing accepted methods for adequately developing security visualization products.  ...  Findings show that users of the system believe the system has increased their effectiveness at performing network security tasks and are likely to use such a system in the future. .  ...  Three overarching benefits emerged from using the CDCVis system; specifically administrators had seen increases in 1) student engagement, 2) team performance, and 3) opportunities for learning.  ... 
doi:10.17705/1thci.00029 fatcat:kxtncnqjurbsjbdafhksknlgtu

AI-Assisted Framework for Green-Routing and Load Balancing in Hybrid Software-Defined Networking: Proposal, Challenges and Future Perspective

Richard Etengu, Saw Chin Tan, Ching Kwang Lee, Fouad Mohammed Abbou, Teong Che Chuah
2020 IEEE Access  
The recent promising combination of SDN and artificial intelligence (AI) techniques such as machine learning (ML) and deep learning (DL) in traffic management and control provides tremendous opportunities  ...  Nevertheless, hybrid SDN/OSPF also faces several technical, economic and organizational challenges.  ...  networks × × √ × Vissichio et al. (2014) [40] Opportunities & research challenges of hybrid SDN Networks × × × √ Shu et al. (2016) [20] Traffic Engineering in SDN: Measurement and Management  ... 
doi:10.1109/access.2020.3022291 fatcat:ebznmgl4gfde3kbrewuiphgtme

Evaluation of scratch and pre-trained convolutional neural networks for the classification of Tomato plant diseases

Mohammad Amimul Ihsan Aquil, Wan Hussain Wan Ishak
2021 IAES International Journal of Artificial Intelligence (IJ-AI)  
network (Densenet) 120, residual network (ResNet) 101, ResNet 50, ReseNet 30, ResNet 18, squeezenet and  ...  The dataset used for the experiments was drawn from 9 classes of tomato diseases and a healthy class from PlantVillage.  ...  However, the main challenge involves coming up with a neural network whose edge weights, functions, and network structure can map out an input to an output correctly.  ... 
doi:10.11591/ijai.v10.i2.pp467-475 fatcat:vak2j6f4prconn4ce2kwkkk2qu

A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference

Arnab Neelim Mazumder, Jian Meng, Hasib-Al Rashid, Utteja Kallakuri, Xin Zhang, Jae-sun Seo, Tinoosh Mohsenin
2021 IEEE Journal on Emerging and Selected Topics in Circuits and Systems  
Deep neural networks (DNNs) are being prototyped for a variety of artificial intelligence (AI) tasks including computer vision, data analytics, robotics, etc.  ...  The main takeaways for a reader from this article will be understanding of different search spaces to pinpoint the best micro-AI model configuration, ability to interpret different quantization and sparsification  ...  Such proliferation of AI is the consequence of years of research in the domain of traditional AI techniques, classical machine learning (ML), and more modern deep learning (DL) processes.  ... 
doi:10.1109/jetcas.2021.3129415 fatcat:nknpy4eernaeljz2hpqafe7sja

AI-supported assistance systems in enterprise learning processes - prospects and limitations [chapter]

Norbert Gronau, Chair of Business Informatics, Processes and Systems University of Potsdam, Gergana Vladova, Research Group Education and Continuing Education in the Digital Society Weizenbaum Institute for the Networked Society
2021 Competence development and learning assistance systems for the data-driven future  
This paper focuses on the opportunities and challenges associated with the use of cognitive assistance systems for workplace learning.  ...  Especially for on-the-job learning, these assistance systems open up a wide range of opportunities.  ...  Acknowledgements This work has been partly funded by the Federal Ministry of Education and Research of Germany (BMBF) under grant no. 16DII127 ("Deutsches Internet-Institut")  ... 
doi:10.30844/wgab_2021_5 fatcat:qpsxapycszdt7n6uk6wf6cgfaa

Reform and Exploration of "Computer Network" Course for International Students from "One Belt and One Road" Country

Guo-Qiang MA, Xiao-Lan LI, Ai-Jun ZHEN
2020 DEStech Transactions on Social Science Education and Human Science  
Based on the analysis of the characteristics of the students in the "One Belt and One Way" state, this paper gives a teaching reform plan for the "Computer Network" course.  ...  After two years of teaching process comparison, it is found that these measures can significantly improve the learning interest and learning effect of foreign students.  ...  The Key Teaching Reform Project Name is "Discussion on the teaching reform of computer network course under the guidance of new engineering concept".  ... 
doi:10.12783/dtssehs/icssm2020/34348 fatcat:m27wf3pkbzauvgieexjqbxeypq

Call for Papers

2019 IEEE Network  
B5G networksAI empowered resource management for B5G networks • Intelligent communication technologies for B5G networks • Machine/deep learning based optimization methods for B5G networks • New opportunities  ...  Possible topics include but are not limited to: • Blockchain and AI oriented B5G networks infrastructure • High throughput blockchain architecture with AI for B5G networks • Low latency blockchain architecture  ... 
doi:10.1109/mnet.2019.8863720 fatcat:kxkgqx2pgrdyda5kfnbyf32thq

Artificial Intelligence-Defined 5G Radio Access Networks [article]

Miao Yao, Munawwar Sohul, Vuk Marojevic, Jeffrey H. Reed
2018 arXiv   pre-print
We present example AI-enabled 5G use cases that accommodate important 5G-specific capabilities and discuss the value of AI for enabling beyond 5G network evolution.  ...  This article discusses the intelligent agent in 5G base station which combines sensing, learning, understanding and optimizing to facilitate these enablers.  ...  Walton for his inspirational advice on this article.  ... 
arXiv:1811.08792v2 fatcat:wyhinubtjbbhta4gj4mcwuhgme
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