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DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV

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IEEE Transactions on Green Communications and Networking

IEEE Transactions on Green Communications and Networking 2025年

作者： Zhang, Zheng Wu, Qiong Fan, Pingyi Cheng, Nan Chen, Wen Letaief, Khaled B. Jiangnan University School of Internet of Things Engineering Wuxi214122 China Tsinghua University Beijing National Research Center for Information Science and Technology Department of Electronic Engineering State Key laboratory of Space Network and Communications Tsinghua University Beijing100084 China Xidian University State Key Lab. of ISN School of Telecom-munications Engineering Xi'an710071 China Shanghai Jiao Tong University Department of Electronic Engineering Shanghai200240 China Department of Electrical and Computer Engineer-ing Hong Kong

To address communication latency issues, the Third Generation Partnership Project (3GPP) has defined Cellular-Vehicle to Everything (C-V2X) technology, which includes Vehicle-to-Vehicle (V2V) communication for direct vehicle-to-vehicle communication. However, this method requires vehicles to autonomously select communication resources based on the Semi-Persistent Scheduling (SPS) protocol, which may lead to collisions due to different vehicles sharing the same communication resources, thereby affecting communication effectiveness. Non-Orthogonal Multiple Access (NOMA) is considered a potential solution for handling large-scale vehicle communication, as it can enhance the Signal-to-Interference-plus-Noise Ratio (SINR) by employing Successive Interference Cancellation (SIC), thereby reducing the negative impact of communication collisions. When evaluating vehicle communication performance, traditional metrics such as reliability and transmission delay present certain contradictions. Introducing the new metric Age of Information (AoI) provides a more comprehensive evaluation of communication system. Additionally, to ensure service quality, user terminals need to possess high computational capabilities, which may lead to increased energy consumption, necessitating a trade-off between communication energy consumption and effectiveness. Given the complexity and dynamics of communication systems, Deep Reinforcement Learning (DRL) serves as an intelligent learning method capable of learning optimal strategies in dynamic environments. Therefore, this paper analyzes the effects of multi-priority queues and NOMA on AoI in the C-V2X vehicular communication system and proposes an energy consumption and AoI optimization method based on DRL. Finally, through comparative simulations with baseline methods, the proposed approach demonstrates its advances in terms of energy consumption and AoI. © 2017 IEEE.

关键词： Deep reinforcement learning

Bilateral Teleoperation Control Using Unified Interactive Model for Manipulation in Contact Environment*

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Bilateral Teleoperation Control Using Unified Interactive Mo...

IEEE International Conference on Robotics and Biomimetics

作者： Xiao Yang Fanghao Huang Jason Gu Zheng Chen State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou China Ocean College Zhejiang University Zhoushan China Department of Electrical and Computer Engineering Dalhousie University Halifax Canada Zhejiang Laboratory Hangzhou China

In this paper, a novel bilateral teleoperation control is designed specifically for manipulation in contact environment. Firstly, serval interaction conditions (e.g., free motion and rigid interaction) are defined and unified into one equation as the designed unified interactive model, which can also be utilized as a control objective. Based on this model, a remote hybrid motion/force controller is designed for remote robot, which achieves the good position and force tracking, and ensures the precise and safe contact force that helps reduce the workload of operator. Subsequently, the contact force is reconstructed in the local side by estimating and transmitting the non-power environment coefficient from remote side, which provides the operator with accurate force feedback. Since the coefficient replaces the direct transmission of force signal in the communication channel, the traditional power-cycle problem is essentially avoided, which guarantees the stability of teleoperation system under communication time delays. Comparative experiments are implemented to verify the effectiveness of proposed method for teleoperated manipulation.

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Do Electric Vehicles Lead to More Severe Crashes? A Doubly Robust-Based Causal Inference Approach

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SSRN

SSRN 2025年

作者： Zhai, Guocong Xie, Kun Yang, Di Yang, Hong School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Chengdu611756 China Department of Civil & Environmental Engineering Old Dominion University NorfolkVA23529 United States Department of Transportation & Urban Infrastructure Studies Morgan State University BaltimoreMD21251 United States Department of Electrical & Computer Engineering Old Dominion University NorfolkVA23529 United States Singapore

Electric vehicles (EVs) possess distinct physical characteristics compared to conventional vehicles, including greater mass, larger torque, higher acceleration rates, and a lower center of gravity. However, the safety implications of these differences remain underexplored in existing literature. This study examines the relationship between vehicle type and crash injury severity by employing a rigorous causal inference framework. We analyzed seven years of police-reported crash data (2017-2023) from Virginia, USA, treating EV crashes as the treatment group and conventional vehicle crashes as the control group. To address potential confounding issues in this high-dimensional covariate space, we implement a doubly robust estimator that integrates Bayesian Additive Regression Trees for matching-based estimation (inverse probability of treatment weighting) with logistic regression for outcome modeling. This approach provides reliable causal estimates even if one component is incorrectly specified. Our findings reveal that EV crashes are associated with a 14% reduction in the odds of severe injury compared to conventional vehicle crashes, with consistent estimates across methodological approaches. This study advances knowledge on EV safety and contributes methodologically by developing a doubly robust framework for binary safety outcomes through log-transformed causal odds ratios. From a practical perspective, our findings can guide transportation agencies in developing EV-related regulations, inform insurance providers in designing premium structures for EVs, and help consumers make informed choices on EV adoptions. © 2025, The Authors. All rights reserved.

关键词： Vehicle safety

Ultrafast Structured Light Architectures from THz to X-rays

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Ultrafast Structured Light Architectures from THz to X-rays

2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Carbajo, Sergio Chang, Tiffany Fota, Rares Gilevich, Alexandra Hart, Ariel Hirschman, Jack Huerta, Alain Lacunza Lemons, Randy Li, Zairu Lu, Brittany Sims, Wesley Sun, Linshan Varma, Ravi Wang, Alan Yang, Hongyi Zhang, Hao Electrical & Computer Engineering Department University of California Los Angeles Los AngelesCA United States Physics&Astronomy Department University of California Los Angeles Los AngelesCA United States SLAC National Accelerator Laboratory Stanford University Menlo ParkCA United States California NanoSystems Institute University of California Los AngelesCA United States Centerfor Quantum Science & Engineering University of California Los AngelesCA United States Physics Department Morehouse College AtlantaGA United States

We will review recent advances in ultrashort light wavepackets - from THz to X-rays - exhibiting spatio-temporal structure to enable emerging frontiers in ultrafast multi-modal quantum electrodynamics and coupled time... 详细信息

ISBN: (纸本)9781957171258

关键词： Electrodynamics

Modeling and Analysis of a Coupled SIS Bi-Virus Model

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arXiv 2022年

作者： Gracy, Sebin Paré, Philip E. Liu, Ji Sandberg, Henrik Beck, Carolyn L. Johansson, Karl Henrik Başar, Tamer Department of Electrical Engineering and Computer Science South Dakota School of Mines and Technology SD United States School of Electrical and Computer Engineering Purdue University IN United States Department of Electrical and Computer Engineering Stony Brook University United States Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology and Digital Futures Stockholm Sweden Coordinated Science Laboratory University of Illinois at Urbana-Champaign United States

The paper deals with the setting where two viruses (say virus 1 and virus 2) coexist in a population, and they are not necessarily mutually exclusive, in the sense that infection due to one virus does not preclude the possibility of simultaneous infection due to the other. We develop a coupled bi-virus susceptible-infected-susceptible (SIS) model from a 4n-state Markov process, where n is the number of agents (i.e., individuals or subpopulation) in the population. We identify a sufficient condition for both viruses to eventually die out, and a sufficient condition for the existence, uniqueness and asymptotic stability of the endemic equilibrium of each virus. We establish a sufficient condition and multiple necessary conditions for local exponential convergence to the boundary equilibrium (i.e., one virus persists, the other one dies out) of each virus. Under mild assumptions on the healing rate, we show that there cannot exist a coexisting equilibrium where for each node there is a nonzero fraction infected only by virus 1;a nonzero fraction infected only by virus 2;but no fraction that is infected by both viruses 1 and 2. Likewise, assuming that healing rates are strictly positive, a coexisting equilibrium where for each node there is a nonzero fraction infected by both viruses 1 and 2, but no fraction is infected only by virus 1 (resp. virus 2) does not exist. Further, we provide a necessary condition for the existence of certain other kinds of coexisting equilibria. We show that, unlike the competitive bivirus model, the coupled bivirus model is not monotone. Finally, we illustrate our theoretical findings using an extensive set of simulations. © 2022, CC0.

关键词： Coronavirus

LRDB: LSTM Raw data DNA Base-caller based on long-short term models in an active learning environment

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arXiv 2023年

作者： Rezaei, Ahmad Taheri, Mahdi Mahani, Ali Magierowski, Sebastian Department of Computer Science and Automation Technische Universität Ilmenau Ilmenau Germany Tallinn University of Technology Tallinn Estonia Reliable & Smart Systems Laboratory Shahid Bahonar University Kerman Iran Department of Electrical Engineering and Computer Science York University Toronto Canada

The first important step in extracting DNA characters is using the output data of MinION devices in the form of electrical current signals. Various cutting-edge base callers use this data to detect the DNA characters based on the input. In this paper, we discuss several shortcomings of prior base callers in the case of time-critical applications, privacy-aware design, and the problem of catastrophic forgetting. Next, we propose the LRDB model, a lightweight open-source model for private developments with a better read-identity (0.35% increase) for the target bacterial samples in the paper. We have limited the extent of training data and benefited from the transfer learning algorithm to make the active usage of the LRDB viable in critical applications. Henceforth, less training time for adapting to new DNA samples (in our case, Bacterial samples) is needed. Furthermore, LRDB can be modified concerning the user constraints as the results show a negligible accuracy loss in case of using fewer parameters. We have also assessed the noise-tolerance property, which offers about a 1.439% decline in accuracy for a 15dB noise injection, and the performance metrics show that the model executes in a medium speed range compared with current cutting-edge models. © 2023, CC BY-NC-ND.

关键词： DNA

Metamaterial-induced-transparency engineering through quasi-bound states in the continuum by using dielectric cross-shaped trimers

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arXiv 2024年

作者： Ghahremani, Maryam Zapata-Rodríguez, Carlos J. Photonics Research Laboratory Center of Excellence on Applied Electromagnetic Systems School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Department of Optics and Optometry and Vision Sciences Faculty of Physics University of Valencia Dr. Moliner 50 Burjassot46100 Spain

This study presents a novel approach to activate a narrowband transparency line within a reflecting broadband window in all-dielectric metasurfaces, in analogy to the electromagnetically-induced transparency effect, by means of a quasi-bound state in the continuum (qBIC). We demonstrate that the resonance overlapping of a bright mode and a qBIC-based nearly-dark mode with distinct Q-factor can be fully governed by a silicon trimer-based unit cell with broken-inversion-symmetry cross shape, thus providing the required response under normal incidence of a linearly-polarized light. Our analysis that is derived from the far-field multipolar decomposition and near-field electromagnetic distributions uncovers the main contributions of different multipoles on the qBIC resonance, with governing magnetic dipole and electric quadrupole terms supplied by distinct parts of the dielectric "molecule." The findings extracted from this research open up new avenues for the development of polarization-dependent technologies, with particular interest in its capabilities for sensing and biosensing. © 2024, CC BY-NC-ND.

关键词： Transparency

Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization

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arXiv 2023年

作者： Liu, Shengbo Wu, Wen Fu, Liqun Qu, Kaige Ye, Qiang Zhuang, Weihua Shen, Sherman Frontier Research Center Peng Cheng Laboratory Shenzhen China School of Informatics Xiamen University Xiamen China Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada Department of Computer Science Memorial University of Newfoundland St. John’s Canada

Full-duplex (FD) technique can remarkably boost the network capacity in the millimeter wave (mmWave) bands by enabling simultaneous transmission and reception. However, due to directional transmission and large bandwidth, the throughput and fairness performance of a mmWave FD network are affected by deafness and directional hidden-node (HN) problems and severe residual self-interference (RSI). To address these challenges, this paper proposes a directional FD medium access control protocol, named DFDMAC to support typical directional FD transmission modes by exploiting FD to transmit control frames to reduce signaling overhead. Furthermore, a novel busy-tone mechanism is designed to avoid deafness and directional HN problems and improve fairness of channel access. To reduce the impact of RSI on link throughput, we formulate a throughput maximization problem for different FD transmission modes and propose a power control algorithm to obtain the optimal transmit power. Simulation results show that the proposed DFDMAC can improve the network throughput and fairness by over 60% and 32%, respectively, compared with the existing MAC protocol in IEEE 802.11ay. Moreover, the proposed power control algorithm can effectively enhance the network throughput. Copyright © 2023, The Authors. All rights reserved.

关键词： Millimeter waves

Affine Frequency Division Multiplexing: Extending OFDM for Scenario-Flexibility and Resilience

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arXiv 2025年

作者： Yin, Haoran Tang, Yanqun Bemani, Ali Kountouris, Marios Zhou, Yu Zhang, Xingyao Liu, Yuqing Chen, Gaojie Yang, Kai Liu, Fan Masouros, Christos Li, Shuangyang Caire, Giuseppe Xiao, Pei School of Electronics and Communication Engineering Sun Yat-sen University China Mathematical and Algorithmic Sciences Laboratory Huawei France Research and Development France Communication Systems Department EU-RECOM France Department of Computer Science and Artificial Intelligence University of Granada Spain Sun Yat-sen University China School of Information and Electronics Beijing Institute of Technology China National Mobile Communications Research Laboratory Southeast University Bangladesh Department of Electrical and Electronic Engineering University College London United Kingdom Department of Electrical Engineering and Computer Science Technical University of Berlin Germany 5G/6G Innovation Centre University of Surrey United Kingdom

Next-generation wireless networks are conceived to provide reliable and high-data-rate communication services for diverse scenarios, such as vehicle-to-vehicle, unmanned aerial vehicles, and satellite networks. The severe Doppler spreads in the underlying time-varying channels induce destructive inter-carrier interference (ICI) in the extensively adopted orthogonal frequency division multiplexing (OFDM) waveform, leading to severe performance degradation. This calls for a new air interface design that can accommodate the severe delay-Doppler spreads in highly dynamic channels while possessing sufficient flexibility to cater to various applications. This article provides a comprehensive overview of a promising chirp-based waveform named affine frequency division multiplexing (AFDM). It is featured with two tunable parameters and achieves optimal diversity order in doubly dispersive channels (DDC). We study the fundamental principle of AFDM, illustrating its intrinsic suitability for DDC. Based on that, several potential applications of AFDM are explored. Furthermore, the major challenges and the corresponding solutions of AFDM are presented, followed by several future research directions. Finally, we draw some instructive conclusions about AFDM, hoping to provide useful inspiration for its development. Copyright © 2025, The Authors. All rights reserved.

关键词： Orthogonal frequency division multiplexing