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Design Automation Conference

作者： Qinghai Liu Qinfei Tang Jiarui Chen Chuandong Chen Ziran Zhu Huan He Jianli Chen Yao-Wen Chang Center for Discrete Mathematics Fuzhou University Fuzhou China Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou China College of Computer and Date Science Fuzhou University Fuzhou China Department of Microelectronics Fuzhou University Fuzhou China Department of Microelectronics Southeast University Nanjing China Hangzhou Huawei Enterprises Telecommunication Technologies Co. Ltd Hangzhou China State Key Lab of ASIC & System Fudan University Shanghai China Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan

PCB routing becomes time-consuming as the complexity of PCB design increases. Unlike traditional schemes that treat the two essential PCB routing processes separately, namely, escape and bus routing, we consider the continuity between them and present a golden-pin-based routing scheme to find the desired solution with angle and topology constraints. Further, conventional rip-up and reroute methods are often ineffective and inefficient for congestion alleviation and routability optimization. We construct a component graph by modeling components as vertices and applying the minimum weight vertex covering method to improve the routability. A self-adaptable ordering method is presented for escape routing to arrange the pin order on the component boundary, guaranteeing successful bus routing. In addition, escape routing is performed based on a disjoint path method. We construct a dynamic Hanan grid in bus routing and utilize a novel congestion adjustment technique to improve solution quality. Compared with FreeRouting and Allegro, the experiment results show that our algorithm achieves high routability and a significant 90% runtime reduction.

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The Effect of Device Redundancy in Timeliness of Information

The Effect of Device Redundancy in Timeliness of Information

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IEEE International Conference on communications (ICC)

作者： Kang Lang Zhengchuan Chen Nikolaos Pappas Howard H. Yang Yunjian Jia Tony Q. S. Quek School of Microelectronics and Communication Engineering Chongqing University Chongqing China State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Department of Computer and Information Science Linköping University Linköping Sweden Zhejiang University/University of Illinois at Urbana-Champaign Institute Zhejiang University Haining China Information System Technology and Design Pillar Singapore University of Technology and Design Singapore

Emerging interaction-based Internet of Things (IoT) applications have stringent demand for timeliness, imposing critical challenges to the design of status update system. Using redundant devices to update the status of the same process is a promising way to improve timeliness, but this approach can result in out of order update arrivals, making it difficult to analyze timeliness. To that end, the present paper conducts a theoretical study toward the Age of Information (AoI) of a multi-queue status update system where multiple sensors observe one physical process and update a common monitor. Based on the stochastic hybrid systems method, the average AoI of the considered system is derived in closed form. The theoretical results are consistent with the simulation results, verifying the correctness of the theoretical analysis. It is shown that the logarithm of the average AoI is linearly decreasing with the logarithm of the number of sensors.

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Novel Personalized Multimedia Recommendation systems Using Tensor Singular-Value-Decomposition

Novel Personalized Multimedia Recommendation Systems Using T...

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IEEE International Symposium on Broadband Multimedia systems and Broadcasting (BMSB)

作者： Shih Yu Chang Hsiao-Chun Wu Kun Yan Xinjia Chen Yiyan Wu Department of Applied Data Science San Jose State University San Jose CA USA School of Electrical Engineering and Computer Science Louisiana State University Baton Rouge LA USA Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Guilin University of Electronic Technology Guilin China Department of Information and Telecommunication Guilin University of Electronic Technology Guilin China Department of Engineering Technology Northwestern State University of Louisiana Natchitoches LA USA Communications Research Centre Canada Ottawa ON Canada

Nowadays, multimedia data are often produced by various sources, e.g., Internet of Things (IoT), social media, customer databases, etc. As tremendous multimedia data are produced every day, users or E-commerce customers cannot infer information from such data by themselves and therefore recommender systems have been developed to help users to select the products or services which better fit users’ preferences or requirements. Nonetheless, there exists few works on the incorporation of side information or multiple attributes about items into the design of a more robust recommender system. In this work, we propose a novel approach based on the third-order tensor singular-value-decomposition (T3-SVD) to design new personalized multimedia recommender systems (PMRSs) for internet users. A PMRS can dynamically adjust its recommendation strategy subject to a particular user’s on-line transaction behavior. To evaluate the effectiveness of our proposed PMRS based on T3-SVD, we compare the performances of our proposed new PMRS and two other existing tensor-based recommendation systems over realworld data in terms of normalized root-mean-square error (NRMSE). As a result, our proposed new PMRS greatly outperforms the other two existing systems.

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IRS-Enhanced Secure Semantic communication Networks: Cross-Layer and Context-Awared Resource Allocation

arXiv

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arXiv 2024年

作者： Wang, Lingyi Wu, Wei Zhou, Fuhui Qin, Zhijin Wu, Qihui College of Science Nanjing University of Posts and Telecommunications Nanjing210003 China College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing210000 China Department of Electronic Engineering Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology Beijing China State Key Laboratory of Space Network and Communications Beijing China

Learning-task oriented semantic communication is pivotal in optimizing transmission efficiency by extracting and conveying essential semantics tailored to the specific tasks, such as image reconstruction and classification. Nevertheless, the challenge of eavesdropping poses a formidable threat to semantic privacy due to open nature of wireless communications. In this paper, intelligent reflective surface (IRS)-enhanced secure semantic communication (IRS-SSC) is proposed to guarantee the physical layer security from a task-oriented semantic perspective. Specifically, a multi-layer codebook is exploited to discretize continuous semantic features and describe semantics with different numbers of bits, thereby meeting the need for hierarchical semantic representation and further enhancing the transmission efficiency. Novel semantic security metrics, i.e., secure semantic rate (S-SR) and secure semantic spectrum efficiency (S-SSE), are defined to map the task-oriented security requirements at the application layer into the physical layer. To achieve artificial intelligence (AI)-native secure communication, we propose a noise disturbance enhanced hybrid deep reinforcement learning (NdeHDRL)-based resource allocation scheme. This scheme dynamically maximizes the S-SSE by jointly optimizing the bits for semantic representations, reflective coefficients of the IRS, and the subchannel assignment. Moreover, we propose a novel semantic context awared state space (SCA-SS) to fusion the high-dimensional semantic space and the observable system state space, which enables the agent to perceive semantic context and solves the dimensional catastrophe problem. Simulation results demonstrate the efficiency of our proposed schemes in both enhancing the security performance and the S-SSE compared to several benchmark schemes. Copyright © 2024, The Authors. All rights reserved.

关键词： Deep reinforcement learning

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Highly Secure Self-homodyne Coherent system Empowered by Quantum Noise Stream Cipher

Highly Secure Self-homodyne Coherent System Empowered by Qua...

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Asia communications and Photonics Conference and Exhibition (ACP)

作者： Haoze Du Chao Lei Zonglong He Mingming Zhang Rui Lin Chen Yang Zhiyong Zhao Ming Tang Department of Electrical Engineering Chalmers University of Technology Göteborg Sweden School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China Department of Microtechnology and Nanoscience Chalmers University of Technology Göteborg Sweden National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China State Key Laboratory of Optical Fiber and Cable Manufacture Technology Yangtze Optical Fibre and Cable Joint Stock Limited Company Wuhan China

200Gb/s per spatial channel quantum noise stream cipher (QNSC) is experimentally demonstrated in 3km self-homodyne coherent (SHC) transmission system. A security level of (32761)^20 is obtained with 3dB penalty

ISBN: (数字)9798350379266

ISBN: (纸本)9798350379273

关键词： Ciphers Noise Loading Asia Optical fiber communication Security Photonics

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Micro-Stack Airborne P- and L-Band Sar Tomography for 3d Forest Mapping: Cross-Validation at Two Forest Sites in Hebei and Hainan, China

SSRN

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SSRN 2024年

作者： Wang, Longxiang Xiang, Wei Zhang, Heng Deng, Yunkai Song, Hongjun Wang, Jili Liu, Dacheng Lu, Hongliang Zhao, Lei Space Microwave Remote Sensing System Department Aerospace Information Research Institute Chinese Academy of Science Beijing100190 China School of Electronics Electrical and Communication Engineering University of Chinese Academy of Science Beijing100049 China Qilu Aerospace Information Research Institute Jinan250100 China Research Institute of Forest Resources Information Technique Chinese Academy of Forestry Beijing100091 China Key Laboratory of Forestry Remote Sensing and Information System National Forestry and Grassland Administration Chinese Academy of Forestry Beijing100091 China

The vertical structure and height of the forest are crucial for forest resource management and carbon stock. Tomographic Synthetic Aperture Radar (TomoSAR) technology effectively extracts precise three-dimensional (3D) forest information utilizing multi-baseline SAR image stacks. However, airborne TomoSAR implementation encounters several challenges. First, conventional TomoSAR imaging approaches require at least six acquisitions for a reasonable 3D reconstruction. Second, the instability of the flight trajectories could result in the interferograms decoherence. Third, excessive flight passes are laborious and inefficient, which is difficult for the large-scale 3D forest mapping. To overcome these limitations, this paper proposes a micro-stack TomoSAR imaging approach for forest height retrieval using the double iterative adaptive residual approach (DIARA). The DIARA is a spectral estimation approach based on iterative adaptation of inner and outer layers and residual optimization function, aiming to improve data processing efficiency and accuracy. To validate the effectiveness and robustness of the DIARA, micro-stack airborne P- and L-band SAR data are comprehensively analyzed to obtain tomograms and retrieve forest height in the Saihanba Forest Farm, Hebei, and the Diaoluoshan Nature Reserve, Hainan, China, respectively. Especially, the airborne L-band TomoSAR is applied to retrieve the vertical structure of tropical forests for the first time in *** DIARA significantly enhances the recovery of ground scattering signals and successfully detects the weak scatterers beneath dense forest canopy through residual processing. The LiDAR canopy height model (CHM) is used for comparison and evaluation. Furthermore, the four indicators R2, MAE, MAPE, and RMSE of the P-band TomoSAR result derived from only four acquisitions are 0.628, 0.625 m, 3.68%, and 0.771m, respectively. Similarly, the R2, MAE, MAPE, and RMSE of the L-band TomoSAR result are 0.837, 1.051 m, 6.709%

关键词： Synthetic aperture radar

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Dual Data- and Knowledge-Driven Land Cover Mapping Framework for Monitoring Annual and Near-Real-Time Changes

SSRN

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SSRN 2024年

作者： Du, Zhenrong Yu, Le Arvor, Damien Li, Xiyu Cao, Xin Zhong, Liheng Zhao, Qiang Ma, Xiaorui Wang, Hongyu Liu, Xiaoxuan Zhang, Mingjuan Xu, Bing Gong, Peng School of Information and Communication Engineering Dalian University of Technology Dalian116024 China Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing100084 China Ministry of Education Ecological Field Station for East Asian Migratory Birds Beijing100084 China Tsinghua University Department of Earth System Science Xi’an Institute of Surveying Mapping Joint Research Center for Next-Generation Smart Mapping Beijing100084 China CNRS Université Rennes 2 LETG UMR 6554 RennesF-35000 France State Key Laboratory of Remote Sensing Science Faculty of Geographical Science Beijing Normal University Beijing100875 China Ant Group Beijing100020 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China College of Forestry Beijing Forestry University Beijing100083 China Department of Geography Department of Earth Sciences Institute for Climate and Carbon Neutrality University of Hong Kong 999077 Hong Kong

As one of the most important application for remote sensing monitoring, land cover mapping has witnessed notable advancements in data acquisition, algorithmic diversity, and classification accuracy. Despite the instrumental role data-driven algorithms have played in the development of global land cover products, their inherent limitations as "black box" methods often fall short of meeting end-users’ specific requirements. In this study, built upon the foundation of the earlier land cover mapping platform (FROM-GLC Plus, FGP), we bridge the gap between theoretical frameworks and practical applications by developing a dual-driven framework (FGP 2.0) that synergizes knowledge-based reasoning with data learning for intelligent remote sensing land cover mapping. By incorporating ontology-based semantic descriptions with advanced data-driven algorithms, FGP 2.0 provides the capacity for both traditional annual mapping and emerging dynamic mapping. For annual mapping, FGP 2.0 significantly improves the overall accuracy of data-driven FGP (improved by ~5%). For dynamic mapping, FGP 2.0 illustrates more precise land cover distribution and reliable changes compared to FGP and Dynamic World (DW), and an operational dynamic mapping tool has been developed on the Google Earth Engine (GEE). This innovative approach not only fulfills the current demand for reliable land cover maps but also sets a new benchmark for the integration of geoscientific expertise with machine learning techniques in environmental monitoring. © 2024, The Authors. All rights reserved.

关键词： Mapping

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Micro-Stack Airborne P- and L-Band Sar Tomography for 3d Forest Mapping: Case Studies At Two Forest Sites in Hebei and Hainan, China

SSRN

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SSRN 2024年

关键词： Synthetic aperture radar

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Sensing With communication Signals: From Information Theory to Signal Processing

arXiv

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arXiv 2025年

作者： Liu, Fan Liu, Ya-Feng Cui, Yuanhao Masouros, Christos Xu, Jie Han, Tony Xiao Buzzi, Stefano Eldar, Yonina C. Jin, Shi National Mobile Communications Research Laboratory School of Information Science and Engineering Southeast University Nanjing210096 China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematicsand Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Department of Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Department of Electronic and Electrical Engineering University College London LondonWC1E 7JE United Kingdom Guangdong518172 China Huawei Technologies Co. Ltd China Department of Electrical and Information Engineering University of Cassino and Southern Lazio CassinoI-03043 Italy Department of Electronics Information and Bioengineering Politecnico di Milano MilanoI-20133 Italy ParmaI-43124 Italy Faculty of Mathematics and Computer Science Weizmann Institute of Science Rehovot Israel

The Integrated Sensing and communications (ISAC) paradigm is anticipated to be a cornerstone of the upcoming 6G networks. In order to optimize the use of wireless resources, 6G ISAC systems need to harness the communication data payload signals, which are inherently random, for both sensing and communication (S&C) purposes. This tutorial paper provides a comprehensive technical overview of the fundamental theory and signal processing methodologies for ISAC transmission with random communication signals. We begin by introducing the deterministic-random tradeoff (DRT) between S&C from an information-theoretic perspective, emphasizing the need for specialized signal processing techniques tailored to random ISAC signals. Building on this foundation, we review the core signal models and processing pipelines for communication-centric ISAC systems, and analyze the average squared auto-correlation function (ACF) of random ISAC signals, which serves as a fundamental performance metric for multi-target ranging tasks. Drawing insights from these theoretical results, we outline the design principles for the three key components of communication-centric ISAC systems: modulation schemes, constellation design, and pulse shaping filters. The goal is to either enhance sensing performance without compromising communication efficiency or to establish a scalable tradeoff between the two. We then extend our analysis from a single-antenna ISAC system to its multi-antenna counterpart, discussing recent advancements in multiinput multi-output (MIMO) precoding techniques specifically designed for random ISAC signals. We conclude by highlighting several open challenges and future research directions in the field of sensing with communication signals. Copyright © 2025, The Authors. All rights reserved.

关键词： Signal modulation

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Mixed-Cell-Height Legalization Considering Technology and Region Constraints

Mixed-Cell-Height Legalization Considering Technology and Re...

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作者： Zhu, Ziran Chen, Jianli Zhu, Wenxing Chang, Yao-Wen Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University Fuzhou China State Key Laboratory of ASIC and System Fudan University Shanghai China Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan

Mixed-cell-height circuits have become popular in advanced technologies for better power, area, routability, and performance tradeoffs. With technology and region constraints imposed by modern circuit designs, the mixed-cell-height legalization problem has become even more challenging. Additionally, an ideal legalization method should minimize both the average and maximum cell movements to preserve the quality of a given placement as much as possible. In this article, we present an effective and efficient mixed-cell-height legalization algorithm to consider technology and region constraints while minimizing the average and maximum cell movements. We first present a fence region handling technique to unify the fence regions and the default region. To obtain a desired cell assignment, we then propose a movement-aware cell reassignment method by iteratively reassigning cells in locally dense areas to their desired rows. After cell reassignment, a technology-aware legalization is presented to remove cell overlaps while satisfying the technology constraints. Finally, we propose a technology-aware refinement to further reduce the average and maximum cell movements without increasing the technology constraints violations. Compared with the champion of the 2017 CAD Contest at ICCAD and the state-of-the-art work, experimental results based on the 2017 CAD Contest at ICCAD benchmarks show that our algorithm achieves the best average and maximum cell movements and significantly fewer technology constraint violations, in a comparable runtime. The experimental results based on the modified 2015 ISPD Contest benchmarks also demonstrate the effectiveness of our algorithm in minimizing the average and maximum cell movements, compared with state-of-the-art mixed-cell-height legalizers. © 1982-2012 IEEE.

关键词： Iterative methods

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