{"results":[{"id":"ss_4f7a510302ff9beb71a142ddc641c3b6eaed7a3c","title":"Integrated Sensing and Communications (ISAC) for Vehicular Communication Networks (VCN)","authors":[{"name":"Xiang Cheng"},{"name":"Dongliang Duan"},{"name":"Shijian Gao"},{"name":"Liuqing Yang"}],"abstract":"With the unprecedented development of smart vehicles and roadside units equipped with wireless connectivity, the transportation system is undergoing revolutionary changes in the past decade or two. Bearing safety and efficiency as the utmost objectives, the vehicular environments are witnessing explosive increase of various sensors onboard vehicles and equipped at transportation infrastructures. On the one hand, these sensors are destined to be wirelessly connected to provide more comprehensive situational awareness for transportation purposes. On the other hand, the abundance of sensor data of the environment can potentially shed light on the channel propagation characteristics that lie at the core of any communications system design. The integrated sensing and communications (ISACs) is henceforth both necessary and natural in vehicular communications networks (VCN). Different from existing ISAC works that target generic environments but are limited to dual-function radar-communications (DFRC), in this article we focus on transportation scenarios and applications but take a wholistic view of ISAC possibilities. First, we argue that, even though many sensors in transportation settings are nonradio-frequency (RF)-based, functional ISAC (fISAC) is feasible and necessary, in both communication-centric (CC) or sensing-centric (SC) modes. To facilitate this, the concept of synesthesia is introduced to ISAC to accommodate “machine senses” in the RF and non-RF formats. We then zoom in to RF-based sensors and propose the so-termed signaling ISAC (sISAC), with either unified-hardware (UH) or separate-hardware (SH) platforms, and delineate the unique issues arising in transportation settings. Several transportation-specific case studies are included to demonstrate these various ISAC regimes. Toward the end, the relationships of these ISAC subcategories are discussed with a roadmap laid out.","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Computer Science"],"doi":"10.1109/JIOT.2022.3191386","url":"https://www.semanticscholar.org/paper/4f7a510302ff9beb71a142ddc641c3b6eaed7a3c","is_open_access":true,"citations":252,"published_at":"","score":73.56},{"id":"ss_3d81ac6632b6c4ad769d81f26cd057bffaa60ca7","title":"Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis","authors":[{"name":"Zahra Dehghan Shabani"},{"name":"R. Shahnazi"}],"abstract":"Abstract Information and communications technology (ICT) has different effects on energy consumption and carbon dioxide (CO2) emissions in economic sectors, nevertheless, sectoral analysis of ICT effects is not addressed in the previous literature, the novelty of this article is filling this gap. This study investigated the short- and long-run causality between energy consumption, gross domestic product (GDP), CO2 emissions, and ICT in Iranian economic sectors over 2002–2013. Dynamic ordinary least squares (DOLS) estimator was used to estimate the long-run relationships among the aforementioned variables. The empirical findings confirmed the presence of an environmental Kuznets curve in all the sectors, the positive effect of ICT on CO2 in the industrial sector, and the negative effect of ICT on CO2 emissions in the transportation and services sectors. The panel error correction model was employed to examine Granger causality between each pair of variables. ICT is the cause of energy consumption in the industry. Furthermore, the results suggested the existence of bidirectional short-run causality between ICT and CO2 in the industrial and transportation sectors and a unidirectional causal relationship between ICT and CO2 in the services sector. Finally, there is unidirectional long-run causality running from ICT, GDP, and energy consumption to CO2 emissions.","source":"Semantic Scholar","year":2019,"language":"en","subjects":["Economics"],"doi":"10.1016/J.ENERGY.2018.11.062","url":"https://www.semanticscholar.org/paper/3d81ac6632b6c4ad769d81f26cd057bffaa60ca7","is_open_access":true,"citations":314,"published_at":"","score":72.42},{"id":"ss_87c2c617fc21e155ce04b8e73e58c04f589652b2","title":"Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey","authors":[{"name":"Harrison Kurunathan"},{"name":"Hailong Huang"},{"name":"Kai Li"},{"name":"Wei Ni"},{"name":"E. Hossain"}],"abstract":"Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient, and cost-effective solutions for data collection and communications. Their excellent mobility, flexibility, and fast deployment enable UAVs to be extensively utilized in agriculture, medical, rescue missions, smart cities, and intelligent transportation systems. Machine learning (ML) has been increasingly demonstrating its capability of improving the automation and operation precision of UAVs and many UAV-assisted applications, such as communications, sensing, and data collection. The ongoing amalgamation of UAV and ML techniques is creating a significant synergy and empowering UAVs with unprecedented intelligence and autonomy. This survey aims to provide a timely and comprehensive overview of ML techniques used in UAV operations and communications and identify the potential growth areas and research gaps. We emphasize the four key components of UAV operations and communications to which ML can significantly contribute, namely, perception and feature extraction, feature interpretation and regeneration, trajectory and mission planning, and aerodynamic control and operation. We classify the latest popular ML tools based on their applications to the four components and conduct gap analyses. This survey also takes a step forward by pointing out significant challenges in the upcoming realm of ML-aided automated UAV operations and communications. It is revealed that different ML techniques dominate the applications to the four key modules of UAV operations and communications. While there is an increasing trend of cross-module designs, little effort has been devoted to an end-to-end ML framework, from perception and feature extraction to aerodynamic control and operation. It is also unveiled that the reliability and trust of ML in UAV operations and applications require significant attention before full automation of UAVs and potential cooperation between UAVs and humans come to fruition.","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Computer Science"],"doi":"10.1109/COMST.2023.3312221","url":"https://www.semanticscholar.org/paper/87c2c617fc21e155ce04b8e73e58c04f589652b2","pdf_url":"https://recipp.ipp.pt/bitstream/10400.22/23541/1/ART_CISTER-TR-230901_2023.pdf","is_open_access":true,"citations":156,"published_at":"","score":70.68},{"id":"ss_e904f894b0995242bbe61b763e020784cd683b11","title":"Generative AI-Enabled Wireless Communications for Robust Low-Altitude Economy Networking","authors":[{"name":"Changyuan Zhao"},{"name":"Jiacheng Wang"},{"name":"Ruichen Zhang"},{"name":"D. Niyato"},{"name":"G. Sun"},{"name":"Hongyang Du"},{"name":"Dong In Kim"},{"name":"Abbas Jamalipour"}],"abstract":"Low-Altitude Economy Networks (LAENets) have emerged as significant enablers of social activities, offering low-altitude services such as the transportation of packages, groceries, and medical supplies. Owing to their control mechanisms and ever-changing operational factors, LAENets are inherently more complex and vulnerable to security threats than traditional terrestrial networks. As applications of LAENet continue to expand, the robustness of these systems becomes crucial. In this paper, we propose a generative artificial intelligence (GenAI) optimization framework that tackles robustness challenges in LAENets. We conduct a systematic analysis of robustness requirements for LAENets, complemented by a comprehensive review of robust Quality of Service (QoS) metrics from the wireless physical layer perspective. We then investigate existing GenAI-enabled approaches for robustness enhancement. This leads to our proposal of a novel diffusion-based optimization framework with a Mixture of Experts (MoE)-transformer actor network. In the robust beamforming case study, the proposed framework demonstrates its effectiveness by optimizing beamforming under uncertainties, achieving a more than 15% increase over four learning baselines in the worst-case achievable secrecy rate. These findings highlight the significant potential of GenAI in strengthening LAENet robustness.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Engineering","Computer Science"],"doi":"10.1109/MWC.2025.3597910","url":"https://www.semanticscholar.org/paper/e904f894b0995242bbe61b763e020784cd683b11","is_open_access":true,"citations":42,"published_at":"","score":70.25999999999999},{"id":"ss_9637040dd5df86ec0eaa8ab5d7d085589e57a3ba","title":"An UAV-Enabled Intelligent Connected Transportation System With 6G Communications for Internet of Vehicles","authors":[{"name":"Run Liu"},{"name":"Anfeng Liu"},{"name":"Zhen-Feng Qu"},{"name":"N. Xiong"}],"abstract":"6G networks provide faster communication for connected vehicles. These vehicles are connected to the Internet, forming the Internet of Vehicles (IoV). Due to the development of Intelligent Transportation Systems (ITS), more and more vehicles are deployed with data-intensive applications. These applications interact heavily with IoT devices at the edge of the network, which causes IoT devices to consume a lot of limited and valuable power. Task offloading can help overcome resource constraints of IoT devices by offloading task to edge server which has sufficient computational power in ITS. Unmanned Aerial Vehicles (UAV) is a promising solution by serving as Computing-Communications Edge Server (CCES) for resource-constrained IoT devices that there is no edge server nearby that can offload task. Due to the IoT devices’ limited battery capacity and UAV energy budget, it is a challenging issue to reduce the energy for task offloading in UAV-enable edge network. In this paper, an UAV-enabled Computing-Communications Intelligent Offloading (UAV-CCIO) scheme is proposed to offload task energy-efficiently. First, some nodes with a large amount of data are selected as Task Gathering Nodes (TGNs), and TGNs collect all the tasks of the left nodes. In this way, the UAV can only fly the TGNs and so all the IoT devices’ tasks can be offloaded. The distance needed for the UAV can be greatly reduced and energy is saved. On the other hand, tasks that route to TGNs have a relatively small amount of data, while nodes with a large amount of data have already been selected as TGNs without routing, thus saving energy. Second, an optimization strategy for collection tasks is proposed to reduce UAV’s energy. The extensive experimental simulations indicate that the performance of UAV-CCIO scheme is better than the existing scheme.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Computer Science"],"doi":"10.1109/TITS.2021.3122567","url":"https://www.semanticscholar.org/paper/9637040dd5df86ec0eaa8ab5d7d085589e57a3ba","pdf_url":"https://doi.org/10.1109/tits.2021.3122567","is_open_access":true,"citations":98,"published_at":"","score":69.94},{"id":"ss_eeba9aa52e23a737eaa27cd4a513d34563709978","title":"A Survey on Semantic Communications in Internet of Vehicles","authors":[{"name":"Sha Ye"},{"name":"Qiong Wu"},{"name":"Pingyi Fan"},{"name":"Qian-Xi Fan"}],"abstract":"The Internet of Vehicles (IoV), as the core of intelligent transportation system, enables comprehensive interconnection between vehicles and their surroundings through multiple communication modes, which is significant for autonomous driving and intelligent traffic management. However, with the emergence of new applications, traditional communication technologies face the problems of scarce spectrum resources and high latency. Semantic communication, which focuses on extracting, transmitting, and recovering some useful semantic information from messages, can reduce redundant data transmission, improve spectrum utilization, and provide innovative solutions to communication challenges in the IoV. This paper systematically reviews state-of-the-art semantic communications in the IoV, elaborates the technical background of the IoV and semantic communications, and deeply discusses key technologies of semantic communications in the IoV, including semantic information extraction, semantic communication architecture, resource allocation and management, and so on. Through specific case studies, it demonstrates that semantic communications can be effectively employed in the scenarios of traffic environment perception and understanding, intelligent driving decision support, IoV service optimization, and intelligent traffic management. Additionally, it analyzes the current challenges and future research directions. This survey reveals that semantic communications have broad application prospects in the IoV, but it is necessary to solve the real existing problems by combining advanced technologies to promote their wide application in the IoV and contributing to the development of intelligent transportation systems.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Computer Science","Engineering","Medicine"],"doi":"10.3390/e27040445","url":"https://www.semanticscholar.org/paper/eeba9aa52e23a737eaa27cd4a513d34563709978","pdf_url":"https://doi.org/10.3390/e27040445","is_open_access":true,"citations":21,"published_at":"","score":69.63},{"id":"ss_ec31606fc89565f059edf2a7c3ec9896ccdf03f6","title":"Navigating the Road Ahead: A Comprehensive Survey of Radio Resource Allocation for Vehicle Platooning in C-V2X Communications","authors":[{"name":"Chenyu Yang"},{"name":"C. Kwong"},{"name":"David Chieng"},{"name":"Pushpendu Kar"},{"name":"K. Yau"},{"name":"Yusen Chen"}],"abstract":"Vehicle-to-everything (V2X) communications have emerged as an indispensable component of the Intelligent Transportation Systems (ITS), fostering innovations that enhance road safety and traffic efficiency. Within this transformative landscape, vehicle platooning has been identified by the Cellular-V2X (C-V2X) standards as an advanced V2X use case with the potential to reshape the future of ITS. However, the stringent requirements of such applications necessitate an optimized spectrum efficiency. Consequently, Radio Resource Allocation (RRA) has emerged as a critical and central component in addressing this challenge. This paper provides a comprehensive examination of RRA tailored specifically to the context of vehicle platooning. It presents an overview of fundamental concepts, including V2X communications, vehicle platooning, and RRA standards, which is followed by an in-depth review of the state-of-the-art, categorized based on the underlying communication technologies, RRA modes, and coverage conditions. By analyzing the existing literature, this paper identifies several key research challenges and potential opportunities, offering insightful guidance for shaping future research in this field.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Computer Science"],"doi":"10.1109/COMST.2024.3440033","url":"https://www.semanticscholar.org/paper/ec31606fc89565f059edf2a7c3ec9896ccdf03f6","is_open_access":true,"citations":19,"published_at":"","score":69.57},{"id":"crossref_10.1016/j.commtr.2025.100199","title":"Advancing transportation research: interdisciplinary insights from emerging technologies and diverse perspectives","authors":[{"name":"Mingyang Pei"},{"name":"Zhuoyan Wei"},{"name":"Xin Pei"},{"name":"Yu Zhang"},{"name":"Xiaokun Cara Wang"},{"name":"Yang Liu"},{"name":"Ronghui Liu"}],"abstract":"","source":"CrossRef","year":2025,"language":"en","subjects":null,"doi":"10.1016/j.commtr.2025.100199","url":"https://doi.org/10.1016/j.commtr.2025.100199","is_open_access":true,"citations":1,"published_at":"","score":69.03},{"id":"doaj_10.1109/OJVT.2025.3562581","title":"Collision Avoidance Strategies for Uncrewed Aircraft Systems in Structured Airspace Using a Roundabout Intersection","authors":[{"name":"Skyler Hawkins"},{"name":"Jaya Sravani Mandapaka"},{"name":"Logan McCorkendale"},{"name":"Zachary McCorkendale"},{"name":"Kamesh Namuduri"},{"name":"Shane Nicoll"}],"abstract":"The increasing size of the Uncrewed Aircraft System (UAS) ecosystem necessitates effective infrastructure and Collision Avoidance (CA) systems to facilitate high-density UAS traffic in urban environments. Unfortunately, current-generation Air Traffic Management (ATM) and CA systems used for crewed aircraft cannot be used with UAS due to scalability issues and operational constraints. This paper introduces a novel UAS intersection called the Roundabout, specifically designed for facilitating UAS traffic in structured airspace. This paper also proposes the methodology for a CA system based on Vehicle-to-Vehicle (V2V) communications, specifically UAS-to-UAS (U2U) communications, for Tactical Deconfliction (TD) between UAS in real-time. Simulation results demonstrate the system\u0026#x0027;s efficacy in handling the deconfliction process between two quadrotor UAS and can be expected to generalize to deconfliction scenarios involving UAS of all types, given that the proper control systems and trajectory generation methods are available. Overall, these findings highlight the Roundabout\u0026#x0027;s potential for enhancing UAS operations in the National Airspace System (NAS).","source":"DOAJ","year":2025,"language":"","subjects":["Transportation engineering","Transportation and communications"],"doi":"10.1109/OJVT.2025.3562581","url":"https://ieeexplore.ieee.org/document/10970436/","is_open_access":true,"published_at":"","score":69},{"id":"arxiv_2503.21411","title":"Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap","authors":[{"name":"Tong Nie"},{"name":"Jian Sun"},{"name":"Wei Ma"}],"abstract":"Modern transportation systems face pressing challenges due to increasing demand, dynamic environments, and heterogeneous information integration. The rapid evolution of Large Language Models (LLMs) offers transformative potential to address these challenges. Extensive knowledge and high-level capabilities derived from pretraining evolve the default role of LLMs as text generators to become versatile, knowledge-driven task solvers for intelligent transportation systems. This survey first presents LLM4TR, a novel conceptual framework that systematically categorizes the roles of LLMs in transportation into four synergetic dimensions: information processors, knowledge encoders, component generators, and decision facilitators. Through a unified taxonomy, we systematically elucidate how LLMs bridge fragmented data pipelines, enhance predictive analytics, simulate human-like reasoning, and enable closed-loop interactions across sensing, learning, modeling, and managing tasks in transportation systems. For each role, our review spans diverse applications, from traffic prediction and autonomous driving to safety analytics and urban mobility optimization, highlighting how emergent capabilities of LLMs such as in-context learning and step-by-step reasoning can enhance the operation and management of transportation systems. We further curate practical guidance, including available resources and computational guidelines, to support real-world deployment. By identifying challenges in existing LLM-based solutions, this survey charts a roadmap for advancing LLM-driven transportation research, positioning LLMs as central actors in the next generation of cyber-physical-social mobility ecosystems. Online resources can be found in the project page: https://github.com/tongnie/awesome-llm4tr.","source":"arXiv","year":2025,"language":"en","subjects":["cs.AI"],"doi":"10.1016/j.ait.2025.100003","url":"https://arxiv.org/abs/2503.21411","pdf_url":"https://arxiv.org/pdf/2503.21411","is_open_access":true,"published_at":"2025-03-27T11:56:27Z","score":69},{"id":"arxiv_2501.06637","title":"Learning-based visibility prediction for terahertz communications in 6G networks","authors":[{"name":"Pablo Fondo-Ferreiro"},{"name":"Cristina López-Bravo"},{"name":"Francisco Javier González-Castaño"},{"name":"Felipe Gil-Castiñeira"},{"name":"David Candal-Ventureira"}],"abstract":"Terahertz communications are envisioned as a key enabler for 6G networks. The abundant spectrum available in such ultra high frequencies has the potential to increase network capacity to huge data rates. However, they are extremely affected by blockages, to the point of disrupting ongoing communications. In this paper, we elaborate on the relevance of predicting visibility between users and access points (APs) to improve the performance of THz-based networks by minimizing blockages, that is, maximizing network availability, while at the same time keeping a low reconfiguration overhead. We propose a novel approach to address this problem, by combining a neural network (NN) for predicting future user-AP visibility probability, with a probability threshold for AP reselection to avoid unnecessary reconfigurations. Our experimental results demonstrate that current state-of-the-art handover mechanisms based on received signal strength are not adequate for THz communications, since they are ill-suited to handle hard blockages. Our proposed NN-based solution significantly outperforms them, demonstrating the interest of our strategy as a research line.","source":"arXiv","year":2025,"language":"en","subjects":["cs.NI"],"doi":"10.1016/j.comcom.2024.107956","url":"https://arxiv.org/abs/2501.06637","pdf_url":"https://arxiv.org/pdf/2501.06637","is_open_access":true,"published_at":"2025-01-11T21:00:22Z","score":69},{"id":"arxiv_2504.18168","title":"Revolutionizing Symbiotic Radio: Exploiting Tradeoffs in Hybrid Active-Passive Communications","authors":[{"name":"Rui Xu"},{"name":"Yinghui Ye"},{"name":"Haijian Sun"},{"name":"Liqin Shi"},{"name":"Guangyue Lu"}],"abstract":"Symbiotic radio (SR), a novel energy- and spectrum-sharing paradigm of backscatter communications (BC), has been deemed a promising solution for ambient Internet of Things (A-IoT), enabling ultra-low power consumption and massive connectivity. However, A-IoT nodes utilizing BC suffer from low transmission rates, which may limit the applications of SR in A-IoT scenarios with data transmission requirements. To address this issue, in this article, we introduce hybrid active-passive communications (HAPC) into SR by exploiting tradeoffs between transmission rate and power consumption. We first present an overview of novel BC paradigms including ambient BC and SR. Then, a novel HAPC-enabled SR is proposed to enhance the transmission rate of A-IoT nodes. Furthermore, within this paradigm, we investigate the resource allocation scheme and present preliminary research results. Simulation results show that the transmission rate of A-IoT nodes in the proposed HAPC-enabled SR surpasses that in traditional SR. Finally, we discuss open issues related to HAPC-enabled SR.","source":"arXiv","year":2025,"language":"en","subjects":["cs.IT"],"doi":"10.1109/MCOM.003.2400623","url":"https://arxiv.org/abs/2504.18168","pdf_url":"https://arxiv.org/pdf/2504.18168","is_open_access":true,"published_at":"2025-04-25T08:31:38Z","score":69},{"id":"arxiv_2512.02255","title":"Low-Power Double RIS-Assisted Mobile LEO Satellite Communications","authors":[{"name":"Kunnathully Sadanandan Sanila"},{"name":"Rickard Nilsson"},{"name":"Emad Ibrahim"},{"name":"Neelakandan Rajamohan"}],"abstract":"We propose a low-power mobile low earth orbit (LEO) satellite communication architecture, employing double reconfigurable intelligent surfaces (RIS) to enhance energy efficiency and signal performance. With a distance between RISs that satisfies the far-field requirement, this architecture positions one small RIS each in the near-field of the satellite's antenna and the user on the ground. Moreover, we develop a path loss model for the double-RIS communication link, considering the near-field and far-field effects. Further, with the help of dual-stage beamforming, the proposed system maximizes the signal power and minimizes power consumption. Simulation results show that the proposed architecture can reduce the power consumption with 40 dB in the uplink, with a small $0.25^2$ $\\text{m}^2$ RIS near the user, to communicate in energy-constrained LEO satellite communication circumstances.","source":"arXiv","year":2025,"language":"en","subjects":["cs.IT","eess.SP"],"doi":"10.1109/WCNC61545.2025.10978773","url":"https://arxiv.org/abs/2512.02255","pdf_url":"https://arxiv.org/pdf/2512.02255","is_open_access":true,"published_at":"2025-12-01T22:52:26Z","score":69},{"id":"ss_e01de67031870ce31651447b5f5d0326c87f5c66","title":"Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach","authors":[{"name":"E. Strinati"},{"name":"G. C. Alexandropoulos"},{"name":"Giyyarpuram Madhusudan"},{"name":"Philippe Sehier"},{"name":"Sami Mekki"},{"name":"Vincenzo Sciancalepore"},{"name":"Maximilian Stark"},{"name":"Mohamed Sana"},{"name":"B. Denis"},{"name":"Maurizio Crozzoli"},{"name":"Navid Amani"},{"name":"Placido Mursia"},{"name":"Raffaele D’Errico"},{"name":"M. Boldi"},{"name":"Francesca Costanzo"},{"name":"Francois Rivet"},{"name":"Henk Wymeersch"}],"abstract":"This paper introduces the concept of Distributed Intelligent integrated Sensing and Communications (DISAC), which expands the capabilities of Integrated Sensing and Communications (ISAC) towards distributed architectures. Additionally, the DISAC framework integrates novel waveform design with new semantic and goal-oriented communication paradigms, enabling ISAC technologies to transition from traditional data fusion to the semantic composition of diverse sensed and shared information. This progress facilitates large-scale, energy-efficient support for high-precision spatial-temporal processing, optimizing ISAC resource utilization, and enabling effective multi-modal sensing performance. Addressing key challenges such as efficient data management and connect-compute resource utilization, 6G- DISAC stands to revolutionize applications in diverse sectors including transportation, healthcare, and industrial automation. Our study encapsulates the project's vision, methodologies, and potential impact, marking a significant stride towards a more connected and intelligent world.","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Computer Science","Engineering","Mathematics"],"doi":"10.1109/EuCNC/6GSummit60053.2024.10597016","url":"https://www.semanticscholar.org/paper/e01de67031870ce31651447b5f5d0326c87f5c66","pdf_url":"https://arxiv.org/pdf/2402.18271","is_open_access":true,"citations":22,"published_at":"","score":68.66},{"id":"ss_dc6da8783dea300f20f377e138821fd6eccbb30b","title":"NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0","authors":[{"name":"Wali Ullah Khan"},{"name":"Asim Ihsan"},{"name":"Tu N. Nguyen"},{"name":"Zain Ali"},{"name":"M. Javed"}],"abstract":"Automotive-Industry 5.0 will use emerging 6G communications to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard sensors, vehicles, and other intelligent transportation system entities. Nonorthogonal multiple access (NOMA) and backscatter communications are two key techniques of 6G communications for enhanced spectrum and energy efficiency. In this article, we provide an introduction to green transportation and also discuss the advantages of using backscatter communications and NOMA in Automotive Industry 5.0. We also briefly review the recent work in the area of NOMA empowered backscatter communications. We discuss different use cases of backscatter communications in NOMA-enabled 6G vehicular networks. We also propose a multicell optimization framework to maximize the energy efficiency of the backscatter-enabled NOMA vehicular network. In particular, we jointly optimize the transmit power of the roadside unit and the reflection coefficient of the backscatter device in each cell, where several practical constraints are also taken into account. The problem of energy efficiency is formulated as nonconvex, which is hard to solve directly. Thus, first, we adopt the Dinkelbach method to transform the objective function into a subtractive one, then we decouple the problem into two subproblems. Second, we employ dual theory and KKT conditions to obtain efficient solutions. Finally, we highlight some open issues and future research opportunities related to NOMA-enabled backscatter communications in 6G vehicular networks.","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Computer Science","Engineering"],"doi":"10.1109/TII.2022.3161029","url":"https://www.semanticscholar.org/paper/dc6da8783dea300f20f377e138821fd6eccbb30b","pdf_url":"https://arxiv.org/pdf/2203.05152","is_open_access":true,"citations":79,"published_at":"","score":68.37},{"id":"crossref_10.1016/j.commtr.2024.100129","title":"Why is your paper rejected? Lessons learned from over 5000 rejected transportation papers","authors":[{"name":"Jiaming Wu"},{"name":"Ivan Sanchez-Diaz"},{"name":"Ying Yang"},{"name":"Xiaobo Qu"}],"abstract":"","source":"CrossRef","year":2024,"language":"en","subjects":null,"doi":"10.1016/j.commtr.2024.100129","url":"https://doi.org/10.1016/j.commtr.2024.100129","is_open_access":true,"citations":4,"published_at":"","score":68.12},{"id":"ss_485ef3c6780d889bb695617ce5ba576c128c1ff0","title":"Super-Resolution Range and Velocity Estimations With OFDM Integrated Radar and Communications Waveform","authors":[{"name":"Yongjun Liu"},{"name":"G. Liao"},{"name":"Yufeng Chen"},{"name":"Jingwei Xu"},{"name":"Yingzeng Yin"}],"abstract":"In the intelligent transportation system, it is an efficient way for the intelligent vehicle to use the integrated radar and communications system (IRCS) to obtain the range and velocity estimations of other vehicles and simultaneously communicate with other facilities, such as vehicles and base stations. In the IRCS, the transmitted waveform is the orthogonal frequency division multiplexing (OFDM) integrated radar and communications waveform that contains communications information. Due to the existence of communications information, the traditional range and velocity estimation methods in radar can not be directly utilized in the IRCS. Moreover, to improve the resolution of range and velocity estimations, the signal bandwidth and coherent processing interval (CPI) are usually required to be increased, which will result in the increase of system cost and the reduction of update rate. To solve these problems, a auto-paired super-resolution range and velocity estimation method is proposed by using the OFDM integrated radar and communications waveform. First, the communications information in the received signals is compensated. Then, the frequency smoothing is performed to reduce the correlation between the echoes reflected by different targets. Finally, the auto-paired super-resolution range and velocity estimations are obtained by exploiting the translational invariance structure of the underlying signal model in both frequency and pulse domains. Furthermore, Cramér-Rao bounds (CRBs) on range and velocity estimations with the OFDM integrated radar and communications waveform are derived. Several numerical examples are presented to verify the effectiveness of the proposed method.","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Computer Science"],"doi":"10.1109/TVT.2020.3016470","url":"https://www.semanticscholar.org/paper/485ef3c6780d889bb695617ce5ba576c128c1ff0","is_open_access":true,"citations":136,"published_at":"","score":68.08},{"id":"doaj_10.1016/j.trip.2024.101135","title":"Investigating the cost of mechanized unpaved road maintenance operations in Uganda","authors":[{"name":"Andrew Moses Obeti"},{"name":"Lawrence Muhwezi"},{"name":"John Muhumuza Kakitahi"},{"name":"Chris Bic Byaruhanga"}],"abstract":"Force Account Mechanism (FAM) is the predominant road maintenance system in Uganda’s local government setup and a similar, though slightly different approach, is used in some large private sector agriculture plantations. With the Uganda Road Fund (URF) 2021/2022 annual report and previous research citing challenges in cost management and efficiency of the FAM method of road maintenance, it becomes paramount to analyse how FAM is implemented in government-led operations, in comparison to similar private sector approaches, while proposing possible solutions to these challenges. This research offered to analyse unpaved road maintenance cost drivers alongside providing a cost model solution to improve on cost prediction of the FAM system. Gulu District Local Government (DLG) and Kakira Sugar Limited (KSL) were selected as case study areas. Two descriptive research methods were used: observations and case study approach. The selected case study areas were accessible and reachable in terms of data. Control parameters affecting unpaved mechanized road maintenance were identified as machine repair costs, tool costs, labour costs, material costs, fuel costs and machine fuel costs. Unpaved mechanized road maintenance costs at KSL and Gulu DLG were computed as a cost/km ratio of 26,442,032Ugx/km (6,958.4USD/km) and 32,674,895Ugx/km (8,598.65USD/km) respectively. The Uganda National Roads Authority (UNRA) unpaved road maintenance costs were calculated as an average of 34,987,122.9Ugx/km (9,165USD/km) while the World Bank ROCKS database provided a comparable figure of 7,971USD/km (30,553,440.83Ugx/km). A USD to Ugx conversion rate of 3,800 was used. Two linear regression cost models with a 0.679 and 0.687 R2 value were computed, and these can be used in preliminary road maintenance cost prediction. The study recommends the need for an effective, digital road maintenance cost database system for mechanized unpaved road maintenance works, cost driver analytics and management, alongside improvement in aspects of maintenance processes at both the DLG and KSL. Further research can be conducted on equipment condition level prediction and analytics in the private sector and at the DLG.","source":"DOAJ","year":2024,"language":"","subjects":["Transportation and communications"],"doi":"10.1016/j.trip.2024.101135","url":"http://www.sciencedirect.com/science/article/pii/S2590198224001210","is_open_access":true,"published_at":"","score":68},{"id":"doaj_10.1109/OJCOMS.2024.3367461","title":"Attribute-Based Management of Secure Kubernetes Cloud Bursting","authors":[{"name":"Mauro Femminella"},{"name":"Martina Palmucci"},{"name":"Gianluca Reali"},{"name":"Mattia Rengo"}],"abstract":"In modern cloud computing, the need for flexible and scalable orchestration of services, combined with robust security measures, is paramount. In this paper, we propose an innovative approach for managing secure cloud bursting in Kubernetes, combining Attribute-Based Encryption (ABE) with Kubernetes labeling. Our model addresses the challenges of complexity, cost, and data protection compliance by leveraging both Kubernetes and ABE. We introduce an attribute-based bursting component that uses Kubernetes labels for orchestration, and an encryption component that employs ABE for data protection. This unified management model ensures data confidentiality while enabling efficient cloud bursting. Our approach combines the strengths of label-based orchestration with fine-grained encryption, providing a technologically advanced yet user-friendly solution for secure cloud bursting. We present a proof-of-concept implementation that demonstrates the feasibility and effectiveness of our model. Our approach offers a unified solution that complies with security and privacy laws while meeting the needs of contemporary cloud-based systems.","source":"DOAJ","year":2024,"language":"","subjects":["Telecommunication","Transportation and communications"],"doi":"10.1109/OJCOMS.2024.3367461","url":"https://ieeexplore.ieee.org/document/10440131/","is_open_access":true,"published_at":"","score":68},{"id":"doaj_10.1186/s12544-024-00671-z","title":"Evaluating the impact of urban traffic patterns on air pollution emissions in Dublin: a regression model using google project air view data and traffic data","authors":[{"name":"Pavlos Tafidis"},{"name":"Mehdi Gholamnia"},{"name":"Payam Sajadi"},{"name":"Sruthi Krishnan Vijayakrishnan"},{"name":"Francesco Pilla"}],"abstract":"Abstract Air pollution is a significant and pressing environmental and public health concern in urban areas, primarily driven by road transport. By gaining a deeper understanding of how traffic dynamics influence air pollution, policymakers and experts can design targeted interventions to tackle these critical issues. In order to analyse this relationship, a series of regression algorithms were developed utilizing the Google Project Air View (GPAV) and Dublin City’s SCATS data, taking into account various spatiotemporal characteristics such as distance and weather. The analysis showed that Gaussian Process Regression (GPR) mostly outperformed Support Vector Regression (SVR) for air quality prediction, emphasizing its suitability and the importance of considering spatial variability in modelling. The model describes the data best for particulate matter (PM2.5) emissions, with R-squared (R2) values ranging from 0.40 to 0.55 at specific distances from the centre of the study area based on the GPR model. The visualization of pollutant concentrations in the study area also revealed an association with the distance between intersections. While the anticipated direct correlation between vehicular traffic and air pollution was not as pronounced, it underscores the complexity of urban emissions and the multitude of factors influencing air quality. This revelation highlights the need for a multifaceted approach to policymaking, ensuring that interventions address a broader spectrum of emission sources beyond just traffic. This study advances the current knowledge on the dynamic relationship between urban traffic and air pollution, and its findings could provide theoretical support for traffic planning and traffic control applicable to urban centres globally.","source":"DOAJ","year":2024,"language":"","subjects":["Transportation engineering","Transportation and communications"],"doi":"10.1186/s12544-024-00671-z","url":"https://doi.org/10.1186/s12544-024-00671-z","is_open_access":true,"published_at":"","score":68}],"total":2050390,"page":1,"page_size":20,"sources":["CrossRef","DOAJ","arXiv","Semantic Scholar"],"query":"Transportation and communications"}