相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Engineering, Aerospace
Ya Tu et al.
Summary: This article introduces a large-scale real-world radio signal dataset based on the ADS-B system, which is used to support the application of deep learning in radio signal recognition. The authors designed an automatic data collection and labeling system, and created a high-quality dataset through data cleaning and sorting. Furthermore, the authors conducted performance studies on deep learning models trained with this dataset and compared them with traditional machine learning methods.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Computer Science, Information Systems
Secil Ercan et al.
Summary: This paper proposes a machine learning mechanism that enhances the performance of Intrusion Detection Systems (IDS) for position falsification attacks by using new features. The authors also compare two different machine learning methods, k-Nearest Neighbor (kNN) and Random Forest (RF), and employ ensemble learning to improve the detection performance.
Article
Computer Science, Information Systems
Xiaolong Xu et al.
Summary: This article explores the use of artificial intelligence (AI) for optimizing edge services in the Internet of Vehicles (IoV). It begins by introducing the concepts of IoV, edge computing (EC), and AI. It then reviews the edge service frameworks for IoV and examines the application of AI in edge server placement and service offloading. Finally, it discusses several open issues in optimizing edge services with AI.
TSINGHUA SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Xiao Wang et al.
Summary: In this article, the concept of broad learning system (BLS) is introduced in vehicle misbehavior detection. By extracting key features and using ridge regression approximation to calculate connection weights, this method is able to better utilize vehicle information and has high performance and scalability.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Civil
Liang Zhao et al.
Summary: Software-defined vehicular network separates network management and data transmission to provide intelligent information exchanges. The proposed social computing inspired predictive routing scheme (SPIDER) in this paper enables low-latency reliable data exchange under dynamic vehicular networks.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Liang Zhao et al.
Summary: The rapid development of 6G can bring autonomous driving closer to reality, but the insufficient edge resources from small base stations highlights the importance of enabling local cache for vehicle users.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Liang Zhao et al.
Summary: This paper introduces a routing algorithm PT-GROUT based on HMM and time graph, which effectively handles temporal information in vehicular networks. By predicting the time graph and setting HMM reasonably, it can more accurately and efficiently discover the evolution of the internal structure of the vehicular network and achieve a more efficient optimal path.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Roozbeh Razavi-Far et al.
Summary: This article evaluates main strategies for the treatment of missing values in misbehavior detection using incomplete V2X communications data. It proposes two novel methods for imputing and tolerating missing data and compares them with existing methods. The results show that the proposed missing-tolerant method outperforms others in terms of accuracy and F-measure.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Telecommunications
Yun Lin et al.
Summary: This article discusses the challenges posed by the rapid development of communication systems and the potential of using deep learning to address these challenges. It presents a framework to transform complex-valued signal waveforms into contour stellar images (CSI) to bridge the gap between signal waveforms and DL amenable data formats, showcasing effective solutions for signal recognition challenges. The investigation validates that CSI is a promising method to bridge the gap between signal recognition and DL.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Hardware & Architecture
Xianfu Chen et al.
Summary: This article studies the computation offloading in beyond fifth generation networks and proposes a distributed learning framework to address technical challenges in MEC systems. Experimental results show the superiority of the proposed learning algorithm over benchmark algorithms, and future research directions are outlined to minimize time cost.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Jie Cui et al.
Summary: This study proposes a fine-grained access control scheme to restrict applications' access to data in connected and autonomous vehicles (CAVs). The system model includes a trusted third party, perception components, and multiple applications. The use of fast attribute-based encryption and a key update scheme based on the Chinese remainder theorem, along with theoretical analysis and simulation experiments, demonstrates the feasibility and efficiency of this approach.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Meiyu Wang et al.
Summary: In future 6G communications, requirements for network densification, high throughput, positioning accuracy, energy efficiency, and other key performance indicators are becoming more strict. Transfer learning (TL) is an important approach to help new tasks become faster and more efficient by utilizing correlation and similarity information between different tasks.
IEEE TRANSACTIONS ON RELIABILITY
(2021)
Article
Engineering, Electrical & Electronic
Peng Liu et al.
Summary: This paper explores the use of vehicles as mobile edge caching nodes to form a local cloud, providing popular content for nearby users via 6G communication. By predicting vehicle driving trajectories and estimating the popularity of content in urban areas, a scoring system is designed to compare user satisfaction and computational efficiency of different algorithms. The proposed scheme outperforms conventional methods by offering a cost-efficient content allocation solution with lower delay.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Proceedings Paper
Telecommunications
Roshan Sedar et al.
Summary: This research assesses the effectiveness of a reinforcement learning approach for detecting misbehaviour in V2X scenarios, showing that misbehaving vehicles can be accurately detected by exploiting real-time position and speed patterns.
2021 IEEE INTERNATIONAL MEDITERRANEAN CONFERENCE ON COMMUNICATIONS AND NETWORKING (IEEE MEDITCOM 2021)
(2021)
Article
Engineering, Electrical & Electronic
Haibo Zhou et al.
PROCEEDINGS OF THE IEEE
(2020)
Article
Computer Science, Information Systems
Shanzhi Chen et al.
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Telecommunications
Celimuge Wu et al.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Christian Prehofer et al.
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
(2020)
Article
Computer Science, Artificial Intelligence
Monowar Hasan et al.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2020)
Article
Engineering, Electrical & Electronic
Zhen Yang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2019)
Proceedings Paper
Computer Science, Hardware & Architecture
Van-Linh Nguyen et al.
2019 IEEE VEHICULAR NETWORKING CONFERENCE (VNC)
(2019)
Article
Computer Science, Information Systems
Hong Zhong et al.
Proceedings Paper
Computer Science, Hardware & Architecture
Steven So et al.
PROCEEDINGS OF THE 2019 CONFERENCE ON SECURITY AND PRIVACY IN WIRELESS AND MOBILE NETWORKS (WISEC '19)
(2019)
Article
Engineering, Civil
Joshua E. Siegel et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2018)
Article
Computer Science, Information Systems
Fatih Sakiz et al.
Article
Engineering, Electrical & Electronic
Khadige Abboud et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2016)
