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Calibrating AI Models for Wireless Communications via Conformal Prediction
[article]
2022
arXiv
pre-print
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In this paper, conformal prediction is applied for the first time to the design of AI for communication systems in conjunction to both frequentist and Bayesian learning, focusing on demodulation, modulation ...
This paper investigates the application of conformal prediction as a general framework to obtain AI models that produce decisions with formal calibration guarantees. ...
In this paper, we have proposed the adoption of a general framework, known as conformal prediction (CP), to transform any existing AI model into a well-calibrated model via post-hoc calibration for communication ...
arXiv:2212.07775v1
fatcat:ro6adpr5grcutfrdjvyox4g4zy
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
[article]
2021
arXiv
pre-print
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In this paper, we shall provide our vision for scalable and trustworthy edge AI systems with integrated design of wireless communication strategies and decentralized machine learning models. ...
By embedding model training and inference capabilities into the network edge, edge AI stands out as a disruptive technology for 6G to seamlessly integrate sensing, communication, computation, and intelligence ...
In particular, radar sensing provides a promising way to predict the vehicular links [214] and holds the potential to provide real-time model aggregation via predictive beamforming in the model aggregation ...
arXiv:2111.12444v1
fatcat:crrbtfylvjeihogumggdnxcbpq
Table of contents
2021
IEEE Internet of Things Journal
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Rodriguez 222 DeepMDP: A Novel Deep-Learning-Based Missing Data Prediction Protocol for IoT . . . . . . .İ. Kök and S. ...
Huang 345 Encrypting Wireless Communications on the Fly Using One-Time Pad and Key Generation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/jiot.2020.3042911
fatcat:wi6ehljchvhjdf3zpjxwug6z3u
The CENTRIC Project Vision on Sustainable AI-native Air-interface for 6G Networks
2024
Zenodo
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This white paper presents the visionary approach of the CENTRIC project towards developing a sustainable AI-native Air-Interface for 6G networks, aiming to revolutionize wireless communication through ...
By leveraging advanced Artificial Intelligence (AI) techniques, CENTRIC seeks to revolutionize wireless connectivity by placing users' communication needs and environmental considerations at the forefront ...
Data-driven (DT) platforms leverage wireless connectivity to maintain a virtual mirror image of the physical agents' states for optimizing datadriven models that can simulate, predict, and control real-time ...
doi:10.5281/zenodo.10720914
fatcat:lkzhuzb5w5htrcovr2kd6dqpgy
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning
[article]
2024
arXiv
pre-print
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When deployed for split computing in edge-based systems, remote neuromorphic processing units (NPUs) can reduce the communication power budget by communicating asynchronously using sparse impulse radio ...
The proposed DT-LTT methodology is broadly applicable to other design problems, and is showcased here for neuromorphic communications. ...
Guaranteed reliability for machine learning in wireless communications: Conformal prediction (CP) uses past experience to determine precise levels of confidence in new predictions [27] . ...
arXiv:2404.01815v2
fatcat:q4w2wkh5gveudjqtxete27z23m
A Survey of Beam Management for mmWave and THz Communications Towards 6G
[article]
2023
arXiv
pre-print
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Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is ushering in a new era of wireless communications. ...
For mmWave and THz communications toward 6G, we have witnessed a substantial increase in research and industrial attention on artificial intelligence (AI), reconfigurable intelligent surface (RIS), and ...
calibrated the predicted beam direction. ...
arXiv:2308.02135v1
fatcat:snpjzjgdfbekjd463ew735uuvq
Automotive Intelligence Embedded in Electric Connected Autonomous and Shared Vehicles Technology for Sustainable Green Mobility
2021
Frontiers in Future Transportation
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Facilitating vehicle automation, vehicle electrification, vehicle-to-everything (V2X) communication is accomplished by the convergence of artificial intelligence (AI), cellular/wireless connectivity, edge ...
The traditional ownership model is moving toward multimodal and shared mobility services. ...
New research is needed on wireless communication technologies for the battery systems combined with AI methods to optimize the battery pack's communication and reduce the wiring. ...
doi:10.3389/ffutr.2021.688482
fatcat:3yr2mvmoanadxpk6zcbgbtjiy4
2020 Index IEEE Transactions on Biomedical Circuits and Systems Vol. 14
2020
IEEE Transactions on Biomedical Circuits and Systems
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., +, TBCAS Aug. 2020 787-799 Flexible Body-Conformal Ultrasound Patches for Image-Guided Neuromodulation. ...
Rosa, B.M.G., +, TBCAS Aug. 2020 775-786 Flexible Body-Conformal Ultrasound Patches for Image-Guided Neuromodulation. ...
G Gas sensors Sensor-Array Optimization Based on Time-Series Data Analytics for Sanitation-Related Malodor Detection. ...
doi:10.1109/tbcas.2021.3059009
fatcat:rthgi6nrxzeaxkkwqwx753nrze
Network Digital Twin for Open RAN: The Key Enablers, Standardization, and Use Cases
[article]
2023
arXiv
pre-print
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The open radio access network (O-RAN), with its disaggregated and open architecture, is poised to meet the demands of the next generation of wireless communication. ...
However, to unlock the full potentials of O-RAN, real-time network modeling and optimization are essential. A promising solution for such requirement is the use of network digital twin (NDT). ...
Traditionally, the testing and assurance of RAN functions This work is developed within the Advanced Wireless Technology (AWT), AI/ML at Dell Technologies Inc. ...
arXiv:2308.02644v1
fatcat:fkmxb6wlhzhelc47gr2yrbk2uq
Bibliography
[chapter]
2021
Inclusive Radio Communications for 5G and Beyond
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Molisch, A geometry-based stochastic MIMO model for vehicle-to-vehicle communications, IEEE Transactions on Wireless Communications 8 (7) (July 2009) 3646-3657.
AHM19a] C. Antón-Haro, X. ...
Ai, C. Oest-
ges, A dynamic wideband directional channel model for vehicle-to-vehicle
communications, IEEE Transactions on Industrial Electronics 62 (12) (Dec
2015) 7870-7882.
[HRL + 16] A.N. ...
doi:10.1016/b978-0-12-820581-5.00017-1
fatcat:rw5bb5svubeyff4gtbrqtifvyu
A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer
2021
Electronics
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Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience ...
We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. ...
research disciplines, to make it more approachable for the wireless networking community and empower wireless networking researchers to create their own predictive models. ...
doi:10.3390/electronics10030318
fatcat:p6jslz26dvfvbpnqzmrpptloim
A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer
[article]
2020
arXiv
pre-print
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Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience ...
We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. ...
Network performance prediction. ML approaches are used, extensively, to create prediction models for many wireless networking applications. ...
arXiv:2001.04561v2
fatcat:kbbvgechmjgwla6noolrf6ds7u
Review of IoT-based AI analysis method through real-time indoor air quality and health effect monitoring - Focusing on indoor air pollution that are harmful to the respiratory organ -
2022
Tuberculosis and Respiratory Diseases
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In addition, the availability of big data and artificial intelligence analysis and prediction has increased, investigating algorithmic studies for accurate prediction of hazardous environments and health ...
It explores the usage of wearable devices for health monitoring systems. ...
AI analysis for Air Quality Prediction Research for air quality prediction has been conducted on the basis of various algorithm models. ...
doi:10.4046/trd.2022.0087
pmid:36288738
pmcid:PMC9816487
fatcat:zbzw4seyzzgdzbirs2i62mm6cq
2021 Microwave Week Workshops
2021
IEEE Microwave Magazine
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The final talk will introduce a new, low-cost reference clock generation method-a molecular clock-for wireless network synchronization and navigation. ...
Kamran Entesari and Arun Natarajan RFIC/IMS Sunday HD Recent Advances in Frequency Generation Techniques for Sub-6-GHz, mm-Wave, and Beyond In emerging 5G cellular communication and other mm-wave systems ...
With a theme focusing on wireless communication, the workshop will explore machine learning and AI techniques exploited for RF signal conditioning, dynamic wireless spectrum collaboration, microwave device ...
doi:10.1109/mmm.2021.3057181
fatcat:bb4dfrxv3rcklowe4fu6cttyiu
Knowledge Base Enabled Semantic Communication: A Generative Perspective
[article]
2023
arXiv
pre-print
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Semantic communication is widely touted as a key technology for propelling the sixth-generation (6G) wireless networks. ...
Via semantic KB, source messages can be characterized in low-dimensional subspaces without compromising their desired meaning, thus significantly enhancing the communication efficiency. ...
of complementary disciplines like generative AI and wireless communications. ...
arXiv:2311.12443v1
fatcat:d5kulyal2neixgjd2soae2t4dm
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