Search Results - "IEEE Transactions on Vehicular Technology"

Optimal Transmit Beamforming for Integrated Sensing and Communication by Hua, Haocheng, Xu, Jie, Han, Tony Xiao

“…This paper studies the transmit beamforming in a downlink integrated sensing and communication (ISAC) system, where a base station (BS) equipped with a uniform…”
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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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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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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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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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Joint Multi-Task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT by Chai, Furong, Zhang, Qi, Yao, Haipeng, Xin, Xiangjun, Gao, Ran, Guizani, Mohsen

“…For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT), there are dependencies between different tasks, which need to be…”
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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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Embedded Pilot-Aided Channel Estimation for OTFS in Delay-Doppler Channels by Raviteja, P., Phan, Khoa T., Hong, Yi

“…Orthogonal time frequency space (OTFS) modulation was shown to provide significant error performance advantages over orthogonal frequency division multiplexing…”
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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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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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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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Secrecy Performance Analysis of RIS-Aided Wireless Communication Systems by Yang, Liang, Yang, Jinxia, Xie, Wenwu, Hasna, Mazen O., Tsiftsis, Theodoros, Renzo, Marco Di

“…In this work, we study the secrecy performance of a reconfigurable intelligent surfaces (RIS)-aided wireless communication system in the presence of an…”
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Pervasive Wireless Channel Modeling Theory and Applications to 6G GBSMs for All Frequency Bands and All Scenarios by Wang, Cheng-Xiang, Lv, Zhen, Gao, Xiqi, You, Xiaohu, Hao, Yang, Haas, Harald

“…In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel…”
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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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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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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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Low Complexity Iterative Rake Decision Feedback Equalizer for Zero-Padded OTFS Systems by Thaj, Tharaj, Viterbo, Emanuele

“…This paper presents a linear complexity iterative rake detector for the recently proposed orthogonal time frequency space (OTFS) modulation scheme. The basic…”
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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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Active Reconfigurable Intelligent Surface Aided Secure Transmission by Dong, Limeng, Wang, Hui-Ming, Bai, Jiale

“…Reconfigurable Intelligent Surface (RIS) draws great attentions in academic and industry due to its passive and low power consumption nature, and has currently…”
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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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