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Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular networks with Double Dynamics

IEEE Transactions on communications 2025年

作者： Yang, Zonghui Gao, Shijian Cheng, Xiang Yang, Liuqing Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Internet of Things Thrust Guangzhou511400 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong

Integrated sensing and communication (ISAC) technology is vital for vehicular networks, yet the time-varying communication channels and rapid movement of targets present significant challenges for real-time precoding design. Traditional optimization-based methods are computationally complex and strongly depend on perfect prior information, which is often unavailable in double-dynamic scenarios. In this paper, we propose a synesthesia of machine (SoM)-enhanced precoding paradigm that leverages modalities such as positioning and initial channel information to adapt to these dynamics. Utilizing a deep reinforcement learning (DRL) framework, our approach pushes ISAC performance boundaries. We also introduce a parameter-shared actor-critic architecture to accelerate training in complex state and action spaces. Extensive experiments validate the superiority of our method over existing approaches. © 1972-2012 IEEE.

关键词： Deep reinforcement learning

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A Conversational Human-computer Interface for Smart Energy System Simulation Environments 23

A Conversational Human-Computer Interface for Smart Energy S...

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Proceedings of the Winter Simulation Conference

作者： Gabriel Dengler Peter Bazan Reinhard German Pooia Lalbakhsh Ariel Liebmann Laboratory of Computer Networks and Communication Systems Friedrich-Alexander-Universität Erlangen-Nürnberg Martensstr Erlangen Germany Department of Data Science and AI Faculty of Information Technology Monash University Clayton Australia

ISBN: (纸本)9798350369663

This paper introduces a conversational framework that enhances the usability of smart energy system simulations. This study is centered around OpenAI's Generative Pre-trained Transformer (GPT), a fine-tuned conversational model that allows users to communicate with the system in a natural way. Therefore, users can describe their simulation scenarios in plain language and GPT seamlessly translates these descriptions into Python scripts, used as inputs to the simulation environment, in our case, AnyLogic Simulation Software. Our framework is based on the i7-AnyEnergy core framework to compute distribution flows and relevant statistics. The proposed human-machine interface facilitates and accelerates simulation modeling, as demonstrated through the two scenarios we have provided in this paper. Overall, our conversational framework has the potential to significantly improve the user experience of smart energy system simulation environments. By simplifying the interaction between users and complex simulation models, we enable users to obtain valuable insights rapidly and more easily.

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Design and Implementation of an active safety system for Vehicular Ad-Hoc networks(VANETs)

Design and Implementation of an active safety system for Veh...

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International Conference on Information Networking

作者： Halimjon Hujamatov Debasis Das Amir Lazarev Ernazar Reypnazarov Doston Khasaniv Ankur Nahar Data Communication Networks and Systems Department Tashkent University of Information Technologies Named After Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Computer Science and Engineering Indian Institite of Technology Jodhpur Rajasthan India

ISBN: (数字)9798350330946

ISBN: (纸本)9798350330953

Vehicular communication, underpinned by IEEE 802.11p/WAVE-based Vehicle Ad-hoc networks (VANETs), is instrumental in the seamless functioning of intra-vehicle exchanges. However, a comprehensive assessment of these systems reveals suboptimal efficiencies at the data layer, specifically regarding default broadcast intervals. Such inefficiencies lead to escalated packet collisions and subpar utilization of the delay time counter—factors that undermine the synergistic interplay between Active Safety systems (ASS), such as Adaptive Cruise Control (ACC), and their passive safety counterparts. To address these intricacies, this research proposes an innovative mathematical framework tailored for the IEEE 802.11p MAC layer. We propose a model that elucidates the intricate dynamics of the delay time counter and offers refined broadcast intervals buttressed by robust algorithmic strategies. Empirical evaluations, conducted in meticulously simulated vehicular environments, validate the prowess of the proposed paradigm, highlighting a decline in packet collision instances. Quantitative findings from this research evince a notable decrease in packet collision rates and a commensurate enhancement in communication reliability, pivotal for advanced vehicular systems. Such technical augmentations directly elevate the operational reliability of cutting-edge safety mechanisms, exemplified by systems like the Toyota Pre-Crash Safety System.

关键词： Heuristic algorithms Instruments Vehicular ad hoc networks Physical layer Road safety Mathematical models Safety

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Nanoseconds CDR Enabled by Clock Distribution and Protection Sequence Insertion in Optical

Nanoseconds CDR Enabled by Clock Distribution and Protection...

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2023 Opto-Electronics and communications Conference, OECC 2023

作者： Zhao, Yisong Yang, Changsheng Dang, Daohang Guo, Yuanzhi Shen, Shikui Wen, Ran Chen, Bin Guo, Bingli Yang, Chuanchuan Hua, Nan Xue, Xuwei Huang, Shanguo Beijing University of Posts and Telecommunications State Key Laboratory of Information Photonics and Optical Communications Beijing China China Unicom Research Institute Beijing China Hefei University of Technology School of Computer Science and Information Engineering Hefei China Peking University The State Key Laboratory of Advanced Optical Communication Systems and Networks Beijing China Beijing China

The scheme combining clock distribution and protection sequence insertion from the network perspective is proposed and experimentally investigated to implement a 3.1 nanoseconds clock and data recovery in optical swit... 详细信息

ISBN: (纸本)9781665462136

关键词： Optical switches

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A 3D cluster-based channel model with time-space consistency (invited paper)

A 3D cluster-based channel model with time-space consistency...

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2021 IEEE/CIC International Conference on communications in China, ICCC 2021

作者： Huang, Ziwei Cheng, Xiang School of Electronics Engineering and Computer Science Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics Beijing100871 China

ISBN: (纸本)9781665443852

This paper proposes a novel three-dimensional (3D) cluster-based sixth-generation (6G) model for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) channels. In the proposed model, a novel method based on visibility region (VR) is developed, where the smooth and consistent birth and death of clusters in both the time domain and space domain are successfully captured. By using the developed method, the space-time non-stationarity and time-space consistency of channels can be modeled for the first time. Based on the proposed model, important channel statistical properties are derived and thoroughly investigated. Simulation results demonstrate that the smooth birth and death of clusters, time-space consistency, and space-time non-stationarity are modeled sufficiently. © 2021 IEEE.

关键词： Millimeter waves

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meQ: Selecting MEC Resources by Considering Service communication Requirements

meQ: Selecting MEC Resources by Considering Service Communic...

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IEEE International Conference on Cloud Computing Technology and science (CloudCom)

作者： Matthias Frei Reinhard German Anatoli Djanatliev Fraunhofer Institute for Integrated Circuits IIS Erlangen Germany Dept. of Computer Science Computer Networks and Communication Systems University of Erlangen-Nürnberg Germany

ISBN: (纸本)9781665463683

The Multi-Access Edge Computing (MEC) paradigm enables services that have strict network requirements like a maximum tolerable latency or a minimum bandwidth requirement. This consequently leads to a tight coupling of networks and computing, since the service can only function correctly if its communication requirements are met. Numerous existing strategies for MEC service deployment or resource selection put the characteristics of computing demands correlated with the free capacity of nodes or inter-service dependencies in their focus. In contrast, our work is a complementary attempt to enable especially the consideration of the strict communication needs of MEC services. It shows how edge features, i.e., knowledge of edge network conditions and service requirements, can be used to support resource selection and orchestration strategies. We consider and discuss how our model meQ can be applied in real communication systems as well as in heterogeneous networks, where clients may have multiple uplink connections. To enable communication-optimized selection strategies, meQ consists of two major components. A sharable, graph-based network representation and online searches to determine resources. The model benefits from existing work and limits the search space with the use of edge features. A performed simulation study demonstrates the benefits of meQ. The results show that it is possible to significantly reduce the search space, leading to lower search efforts also in large network graphs. An additional system-level simulation proves integration and applicability under realistic conditions.

关键词： Knowledge engineering Couplings computers Cloud computing Multi-access edge computing communication systems Computational modeling

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Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II

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Frontiers in Neurorobotics 2024年 18卷 1422982页

作者： Jin, Xin Lee, Shin-Jye Wozniak, Michal Jiang, Qian School of Software Yunnan University Yunnan Kunming China Department of Systems and Computer Networks Faculty of Information and Communication Technology Wroclaw University of Science and Technology Wroclaw Poland Institute of Management of Technology National Yang Ming Chiao Tung University Hsinchu Taiwan

Multi-source visual information fusion and quality improvement can help the robotic system to perceive the real world. Image fusion is a computational technique fusing multisource images from multiple sensors into a synthesized image that provides a comprehensive or reliable description. Quality improvement techniques can be used to address the challenge of low-quality image analysis tasks [1][2][3][4][5][6]. At present, a lot of brain-inspired algorithm methods (or models) are aggressively proposed to accomplish these two tasks, and the artificial neural network has become one of the most popular techniques in processing image fusion and quality improvement techniques in this decade, especially deep convolutional neural networks [4][5][6][7][8]. This is an exciting research field for the research community of image fusion, and many interesting issues remain to be explored, such as deep few-shot learning, unsupervised learning, application of embodied neural systems, and industrial *** to develop a sound biological neural network and embedded system to extract the multiple features of source images are two key questions that need to be addressed in the fields of image fusion and quality improvement. Hence, studies in this field can be divided into two aspects: new end-to-end neural network models for merging constituent parts during the image fusion process and the embodiment of artificial neural networks for image processing systems. In addition, current booming techniques, including deep neural systems and embodied artificial intelligence systems, are considered potential future trends for reinforcing image fusion performance and quality *** paper of Zhang et al. introduces a palmprint recognition method based on a gating mechanism and adaptive feature fusion. They propose a new network structure, GLGAnet, for extracting local and global features of palmprints. The method incorporates a gating mechanism to control features extracted by dee

关键词： artificial neural networks embedded learning system feature extraction image quality improvement image fusion robot vision

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An ns-3 model for multipath communication with terrestrial and satellite links 1

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20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing systems, MMB 2020

作者： Deutschmann, Jörg Hielscher, Kai-Steffen Jens German, Reinhard Department of Computer Science 7 Computer Networks and Communication Systems University of Erlangen-Nürnberg Martensstraße 3 Erlangen91058 Germany

ISBN: (数字)9783030430245

ISBN: (纸本)9783030430238

Some terrestrial Internet access links provide only low data rates. Internet access via geostationary satellites on the other hand provides data rates of up to 50 Mbit/s, but suffers from high latencies. The combination of low data rate, low latency Internet access (e.g., DSL light) and high data rate, high latency Internet access (e.g., geostationary satellites) can utilize the advantages of both. We discuss multipath communication architectures and scheduling strategies for such heterogeneous link combinations. The solution described in this paper relies on Split TCP and Performance Enhancement Proxies. We implement and evaluate the solution with the network simulator ns-3. A well-established traffic model for loading websites is enhanced with different HTTP variants. The results show that the combination of heterogeneous link types can result in page load times close to as if there was a high data rate, low latency Internet access. © Springer Nature Switzerland AG 2020.

关键词： Geostationary satellites

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Towards an intelligent photonic system

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science China(Information sciences) 2020年第6期63卷 80-96页

作者： Weiwen ZOU Bowen MA Shaofu XU Xiuting ZOU Xingjun WANG State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center (iMLic) Department of Electronic EngineeringShanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University

The emerging intelligence technologies represented by deep learning have broadened their applications to various fields. Beyond the conventional electronics-based processing systems, the convergence of photonics and artificial intelligence(AI) technology enhances the performance and learning ability of AI. In this review, we propose the concept of an intelligent photonic system(IPS), illustrating it as a developing architecture with three different versions. For each version of IPS, we review several representative *** we discuss the challenges towards an IPS and provide some prospects for the future development.

关键词： intelligent photonic system deep learning artificial intelligence optical neural network neuromorphic photonics

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Extending the Reach of Optical Interconnects with Advanced Coded Modulation

Extending the Reach of Optical Interconnects with Advanced C...

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OptoElectronics and communications Conference, OECC

作者： Yi Lei Xiang Wang Qi Lu Bin Chen School of Computer Science and Information Engineering Hefei University of Technology Hefei China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University China

An advanced coded modulation is proposed based on improved staircase codes using marked bits and geometrically-shaped constellations. Up to 0.95 dB SNR gain and 8.6% reach increase are achieved for beyond 800G data ce...

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