Informer-based QoS prediction for V2X communication: A method with verification using reality field test data

Article Engineering, Civil

A Survey on Resource Allocation in Vehicular Networks

Md Noor-A-Rahim et al.

Summary: This paper presents a comprehensive survey on resource allocation schemes for vehicular networks, discussing the challenges and opportunities for resource allocations in modern vehicular networks, and outlining some promising future research directions.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Review Engineering, Civil

Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends

Lina Elmoiz Alatabani et al.

Summary: This paper discusses the application of artificial intelligence in transportation systems, specifically the emerging concept of the Internet of Vehicles (IoV). AI provides unique solutions through deep learning networks to enhance the performance of IoV systems, particularly in processing unclassified data. The paper also explores the classification and clustering approaches in predictive analysis and their impact on improving IoV application systems.

JOURNAL OF ADVANCED TRANSPORTATION (2022)

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Article Engineering, Electrical & Electronic

A Survey of Deep Learning on Mobile Devices: Applications, Optimizations, Challenges, and Research Opportunities

Tianming Zhao et al.

Summary: This article provides a comprehensive survey and summary of the current research on adopting and deploying deep learning on mobile devices. It introduces the state-of-the-art DL techniques, optimization pipeline, and popular DL libraries for mobile devices, and provides insights into potential research opportunities for developing DL for mobile devices.

PROCEEDINGS OF THE IEEE (2022)

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Article Computer Science, Information Systems

A Fast Optimal Speed Planning System in Arterial Roads for Intelligent and Connected Vehicles

Chao Sun et al.

Summary: A fast optimal speed planning system for complex urban driving situations is proposed in this article. Through an adaptive hierarchical control framework, the global speed trajectory is computed and followed by jointly using dynamic programming and interior-point optimizer, predicting with Informer model, and adopting target-switching model-predictive controller.

IEEE INTERNET OF THINGS JOURNAL (2022)

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Article Computer Science, Information Systems

End-to-End Reliability of Satellite Communication Network Systems

Seunghwa Jung et al.

Summary: This article proposes a method for analyzing the quantitative reliability of satellite communication network systems by deriving a Markov model to analyze the probability distributions of various network states. The relationship between network reliability and OBP structures, space radiation environments, and throughput is studied through quantitative analysis. A method for iteratively updating the reliability distribution of network systems is suggested based on changes in the four factors and network access time changes.

IEEE SYSTEMS JOURNAL (2021)

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Article Engineering, Electrical & Electronic