Search Results - "IEEE transactions on vehicular technology"

Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks by Zhao, Junhui, Li, Qiuping, Gong, Yi, Zhang, Ke

“…Computation offloading services provide required computing resources for vehicles with computation-intensive tasks. Past computation offloading research mainly…”
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Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles by Lu, Yunlong, Huang, Xiaohong, Zhang, Ke, Maharjan, Sabita, Zhang, Yan

“…In Internet of Vehicles (IoV), data sharing among vehicles for collaborative analysis can improve the driving experience and service quality. However, the…”
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Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks by Tran, Tuyen X., Pompili, Dario

“…Mobile-edge computing (MEC) is an emerging paradigm that provides a capillary distribution of cloud computing capabilities to the edge of the wireless access…”
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Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design by Wang, Peilan, Fang, Jun, Yuan, Xiaojun, Chen, Zhi, Li, Hongbin

“…Millimeter wave (MmWave) communications is capable of supporting multi-gigabit wireless access thanks to its abundant spectrum resource. However, severe path…”
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Deep Reinforcement Learning Based Resource Allocation for V2V Communications by Ye, Hao, Li, Geoffrey Ye, Juang, Biing-Hwang Fred

“…In this paper, we develop a novel decentralized resource allocation mechanism for vehicle-to-vehicle (V2V) communications based on deep reinforcement learning,…”
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Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI by Han, Yu, Tang, Wankai, Jin, Shi, Wen, Chao-Kai, Ma, Xiaoli

“…Large intelligent surface (LIS)-assisted wireless communications have drawn attention worldwide. With the use of low-cost LIS on building walls, signals can be…”
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Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios by Wang, Yu, Liu, Miao, Yang, Jie, Gui, Guan

“…Automatic modulation recognition (AMR) is an essential and challenging topic in the development of the cognitive radio (CR), and it is a cornerstone of CR…”
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Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System by Huang, Hongji, Yang, Jie, Huang, Hao, Song, Yiwei, Gui, Guan

“…The recent concept of massive multiple-input multiple-output (MIMO) can significantly improve the capacity of the communication network, and it has been…”
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Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries by Zhang, Yongzhi, Xiong, Rui, He, Hongwen, Pecht, Michael G.

“…Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery reliability to determine the advent of failure and mitigate battery…”
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Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization by Li, Mushu, Cheng, Nan, Gao, Jie, Wang, Yinlu, Zhao, Lian, Shen, Xuemin

“…In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) with the objective to optimize computation offloading with minimum…”
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Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning by Hu, Junyan, Niu, Hanlin, Carrasco, Joaquin, Lennox, Barry, Arvin, Farshad

“…Autonomous exploration is an important application of multi-vehicle systems, where a team of networked robots are coordinated to explore an unknown environment…”
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Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning by Jeong, Seongah, Simeone, Osvaldo, Kang, Joonhyuk

“…Unmanned aerial vehicles (UAVs) have been recently considered as means to provide enhanced coverage or relaying services to mobile users (MUs) in wireless…”
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On the Performance of RIS-Assisted Dual-Hop UAV Communication Systems by Yang, Liang, Meng, Fanxu, Zhang, Jiayi, Hasna, Mazen O., Renzo, Marco Di

“…In this paper, to further improve the coverage and performance of unmanned aerial vehicle (UAV) communication systems, we propose a reconfigurable intelligent…”
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Reconfigurable Intelligent Surfaces Assisted Communications With Limited Phase Shifts: How Many Phase Shifts Are Enough? by Zhang, Hongliang, Di, Boya, Song, Lingyang, Han, Zhu

“…Reconfigurable intelligent surface (RIS) has drawn a great attention worldwide as it can create favorable propagation conditions by controlling the phase…”
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IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System by Kumari, Preeti, Choi, Junil, Gonzalez-Prelcic, Nuria, Heath, Robert W.

“…Millimeter-wave (mmWave) radar is widely used in vehicles for applications such as adaptive cruise control and collision avoidance. In this paper, we propose…”
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Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks by Liu, Yi, Yu, Huimin, Xie, Shengli, Zhang, Yan

“…Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to the edge of Internet of Things (IoT) system. However, the static edge…”
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Collaborative Cloud and Edge Computing for Latency Minimization by Ren, Jinke, Yu, Guanding, He, Yinghui, Li, Geoffrey Ye

“…By performing data processing at the network edge, mobile edge computing can effectively overcome the deficiencies of network congestion and long latency in…”
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Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles by Zhou, Xiaokang, Liang, Wei, She, Jinhua, Yan, Zheng, Wang, Kevin

“…The vision of the upcoming 6G technologies that have fast data rate, low latency, and ultra-dense network, draws great attentions to the Internet of Vehicles…”
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Reducing Offloading Latency for Digital Twin Edge Networks in 6G by Sun, Wen, Zhang, Haibin, Wang, Rong, Zhang, Yan

“…6G is envisioned to empower wireless communication and computation through the digitalization and connectivity of everything, by establishing a digital…”
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Global Trends in High-Power On-Board Chargers for Electric Vehicles by Khaligh, Alireza, D'Antonio, Michael

“…This paper provides a comprehensive review and analyses on the state-of-the-art and future trends for high-power conductive on-board chargers (OBCs) for…”
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