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Elastic Spectrum Sensing: An Adaptive Sensing Method for Non-Terrestrial Communication Under Highly Dynamic Channels

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IEEE Transactions on Wireless Communications 2025年第5期24卷 3868-3881页

作者： Xu, Tianheng Xu, Yinjun Zhou, Ting Zhang, Haijun Hu, Honglin Leung, Victor C. M. Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai201210 China Shanghai Frontier Innovation Research Institute Shanghai201100 China University of Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering Beijing100049 China Shanghai University School of Microelectronics Shanghai200444 China Institute of Artificial Intelligence Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services University of Science and Technology Beijing Beijing100083 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T1Z4 Canada

With the rapid development of space technology, the role of satellite communications has become progressively significant. Non-terrestrial communication is deemed a critical scenario in the sixth generation (6G) communication systems, which showcases seamless connectivity, minimal geographic constraints and substantial communication capacity. Simultaneously, satellites and terminals spring up, spatial density increases, which further emphasizes the scarcity of spectrum resources. Consequently, to improve spectrum utilization for non-terrestrial communication is a significant concern. Spectrum sensing, which allows dynamic resource reuse, plays an important role in 6G. However, high mobility in non-terrestrial scenarios poses great challenges, such as fast time-varying channels, Doppler effect, etc., which seriously affect sensing accuracy and cannot well support optimal spectrum utilization. Motivated by such circumstances, this paper proposes an elastic sensing method for the downlink non-terrestrial communication scenario. Firstly, we design the system architecture and sensing workflow. To overcome the negative effects raised by high mobility, we propose the elastic sensing criterion and multi-area dividing scheme for the sensing zone. Thresholds affected by the elastic sensing are derived for different areas. Finally, the numerical results show that from -10 dB to -5 dB, the proposed method can improve the total performance by an average of 28.3% while stabilizing the false alarm probability around 0.1 typical level and demonstrating higher constancy compared with traditional technologies from −10 dB to −5 dB. © 2002-2012 IEEE.

关键词： Satellite communication systems

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Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization

arXiv

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arXiv 2025年

作者： Pezone, Francesco Barbarossa, Sergio Caire, Giuseppe Di Lorenzo, Paolo Kountouris, Marios Bennis, Mehdi Sapienza University of Rome Department of Computer Control and Management Engineering Italy Technische Universität Berlin Faculty 4 - Electrical Engineering and Computer Science Germany

As digital technologies continue to advance, modern communication networks face unprecedented challenges in handling the vast amounts of data produced daily by connected intelligent devices. Autonomous vehicles, smart sensors, IoT systems etc., are gaining more and more interest and new communication paradigms are needed. This thesis addresses these challenges by combining semantic communication with generative models to optimize image compression and resource allocation in edge networks. Unlike traditional bit-centric communication systems, semantic communication prioritizes the transmission of meaningful data specifically selected to convey the meaning rather than obtain a faithful representation of the original data. The communication infrastructure can benefit of the focus solely on the relevant parts of the data due to significant improvements in bandwidth efficiency and latency reduction. Central to this work is the design of semantic-preserving image compression algorithms, utilizing advanced generative models such as Generative Adversarial Networks and Denoising Diffusion Probabilistic Models. These algorithms compress images by encoding only semantically relevant features and exploiting the generative power at the receiver side. This allows for the accurate reconstruction of high-quality images with minimal data transmission. The thesis also introduces a Goal-Oriented edge network optimization framework based on the Information Bottleneck problem and stochastic optimization, ensuring that communication resources are dynamically allocated to maximize efficiency and task performance. By integrating semantic communication into edge networks, the proposed system achieves a balance between computational efficiency and communication effectiveness, making it particularly suited for real-time applications. The thesis compares the performance of these semantic communication models with conventional image compression techniques, using both classical and semantic-awar

关键词： Image compression

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Environment engineering to Protect Quantum Coherence in Tripartite Systems Under Dephasing Noise

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International Journal of Theoretical Physics 2025年第5期64卷 1-15页

作者： Roy, Sovik Kalaiselvan, Aahaman Radhakrishnan, Chandrashekar Manirul Ali, Md Department of Mathematics Techno Main Salt Lake (Engg. colg.) Techno India Group EM 4/1 Sector V Salt Lake Kolkata 700091 India Department of Mechatronics Engineering Chennai Institute of Technology Chennai 600069 India Department of Computer Science and Engineering NYU Shanghai 567 West Yangsi Road Pudong Shanghai 200126 China Centre for Quantum Science and Technology Chennai Institute of Technology Chennai 600069 India

The practical success of quantum technology hinges on sustaining quantum coherence, which is vulnerable to environmental interactions causing decoherence. We investigate coherence in tripartite quantum systems under the influence of noisy environment. In this study, we explore the dynamics of the relative entropy of coherence for tripartite pure and mixed states in the presence of structured dephasing environments at finite temperatures. Our findings demonstrate that the system’s resilience to decoherence is strongly influenced by the bath type and configuration. Specifically, when each qubit interacts with an independent environment, the coherence dynamics differ from those observed in a shared bath setting. In a Markov, memoryless environment, coherence in both pure and mixed states decay faster, whereas coherence is preserved for longer time in the presence of environment memory. This highlights the crucial role of environment memory in enhancing the robustness of tripartite coherence. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Dephasing noise Environment engineering Multipartite pure and mixed states Relative entropy of coherence

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HotReRAM: A Performance-Power-Thermal Simulation Framework for ReRAM Based Caches

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年

作者： Chakraborty, Shounak Bunnam, Thanasin Arunruerk, Jedsada Agarwal, Sukarn Yu, Shengqi Shafik, Rishad Sjalander, Magnus Durham University Department of Computer Science DH1 3LE United Kingdom Rajamangala University of Technology Thanyaburi Department of Computer Engineering Thailand Indian Institute of Science Education and Research Department of Electrical Engineering and Computer Science Bhopal India Chongqing University of Posts and Telecommunications Engineering School 400065 China Newcastle University NE4 7RU United Kingdom Norwegian University of Science and Technology Department of Computer Science Trondheim7491 Norway

This paper proposes a comprehensive thermal modeling and simulation framework, HotReRAM, for resistive RAM (ReRAM)-based caches that is verified against a memristor circuit-level model. The simulation is driven by power traces based on cache accesses for detailed temperature modeling over time. HotReRAM models power at a fine-grain level and generates temperature traces for different cache regions together with detailed analyses of thermal stability, retention time and write latency. Combining HotReRAM with gem5, a full-system simulator, and NVSim, a power simulator, for ReRAM enables temporal and spatial modeling of crucial ReRAM characteristics. This integration allows designers and architects to analyze various cache characteristics within a single cache bank and address thermal-induced issues when designing ReRAM caches. Our simulation results for an 8MiB ReRAM cache show that the spatial thermal variance can be as high as 7K for a single cache bank, whereas the temporal thermal variance is more than 40K. Such temperature variances impact retention time with a standard deviation of 3.9 to 10.2 for a set of benchmark applications, where the write latency can increase by up to 14.5%. © 2025 IEEE. All rights reserved.

关键词： Memristors

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Enhanced Influence Detection in Social Networks Using a Covariance-Based Measure 16

Enhanced Influence Detection in Social Networks Using a Cova...

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16th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2025 / 8th International Conference on Emerging Data and Industry 4.0, EDI40 2025

作者： Zareie, Ahmad Sheikhahmadi, Amir Sakellariou, Rizos School of Computer Science The University of Sheffield Sheffield S1 4DP United Kingdom School of Engineering RMIT University Melbourne 3000 VIC Australia Department of Computer Science The University of Manchester Manchester M13 9PL United Kingdom

In recent years, the problem of identifying the influence of social network users, notably their ability to spread a message, has attracted a lot of attention, leading to the development of various approaches for this purpose. Most of these approaches rely on the topological properties of the graph of users in the network to compute a centrality measure that estimates user influence. One of the most well-known measures is k-shell. However, since the same k-shell index may be assigned to users with different levels of influence, this measure may suffer from low accuracy. Various approaches have been proposed to differentiate these users by combining the k-shell with additional measures. This paper introduces an application of covariance, which enables the integration of the k-shell and degree (number of friends) to come up with a composite centrality measure. Unlike methods that merely aggregate multiple metrics, this approach effectively captures the interaction of influence indicators, offering a mathematically robust and reasonably accurate evaluation of user influence. Experimental results and assessments of the proposed measure using various real-world networks show that it outperforms other state-of-the-art measures calculating user influence accurately. © 2025 Elsevier B.V.. All rights reserved.

关键词： Centrality measures Message spreading Social networks User influence

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Brain Function Assessment of EEG in Mild Cognitive Impairment using Timelag Analysis

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and Systems 2025年第4期145卷 467-473页

作者： Tanabe, Akifumi Harachi, Kento Yamamoto, Yusuke Muramatsu, Ayumi Nagahara, Hajime Takemura, Noriko Shimojo, Shinji Furihata, Daisuke Mizuno-Matsumoto, Yuko Graduate School of Information Science University of Hyogo 7-1-28 Minatojima Minami Chuo-ku Hyogo Kobe650-0047 Japan Department of Medical Engineering Aino University 4-5-4 Higashi-Ohda Ibaraki Osaka567-0012 Japan D3 Center The University of Osaka 2-8 Yamadaoka Osaka Suita565-0871 Japan D3 Center The University of Osaka 5-1 Mihogaoka Ibaraki Osaka567-0047 Japan Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Fukuoka Iizuka820-8502 Japan Faculty of Software and Information Technology Aomori University 2-3-1 Shachihata Aomori-shi Aomori030-0943 Japan

This research aimed to reveal the information process in the brain of the patients who suffered from mild cognitive impairment (MCI) using the power spectra and timelag analysis in electroencephalogram (EEG). The patients with MCI have memory or thinking problems, and are at a great risk of developing Alzheimer's disease or a related dementia. Ten patients with MCI and 13 healthy adults (non-MCI) were examined. The EEGs (122.88 seconds/subject) during a state of relaxation with the eyes closed, were analyzed using the Fourier analysis (power spectrum) and the timelag analysis. The results showed that the mean value of the power spectra in MCI was significantly higher than the mean value in non-MCI in the theta band. The mean value of the absolute timelag values (ATL) in MCI was significantly lower than the mean value in non-MCI in the frontal and left temporal areas. Our findings suggest that the features from EEG of MCI were abstracted in the theta band, and the propagation of information related to memory in brain would becoming fast in MCI. © 2025 The Institute of Electrical Engineers of Japan.

关键词： Electroencephalography

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A Text Detection Method Based on Multi-Scale Selective Fusion Feature Pyramid and Multi-Semantic Spatial Network for Visual IoT

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IEEE Internet of Things Journal 2025年第11期12卷 15997-16008页

作者： Wang, Manli Dou, Zeya Chen, Wei Wang, Zehua Yu, Fei Richard Leung, Victor C. M. Henan Polytechnic University School of Physics and Electronic Information Henan Jiaozuo454003 China China University of Mining and Technology School of Computer Science and Technology Jiangsu Xuzhou221116 China China University of Mining and Technology School of Mechanical Electronic and Information Engineering Beijing100083 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada Carleton University School of Information Technology OttawaONK1S 5B6 Canada

With the rapid development of Visual Internet of Things (VIoT) and text detection technology, they have been widely combined and applied to many industrial production sites, such as label text detection, achieving impressive results. However, there are still many shortcomings in the text detection technology: 1) The existing VIoT system has very limited detection precision for text with large scale changes, especially for some small-scale text detection;2) The existing text detection algorithms cannot meet the actual situation, as the labels often contain handwritten texts, and the text to be detected is arbitrary shape;3) In the actual detection, there are many creases or defects on the text label. To solve the above problems, this paper designs a text detection method based on a multi-scale selection fusion feature pyramid and multi-semantic spatial network to assist the VIoT system in detecting label text. Firstly, a multi-scale selective fusion feature pyramid is designed, which not only uses the texture extraction module to effectively improve the text texture feature and multi-scale feature extraction ability, but also uses the cross-scale selective fusion block to selectively fuse the features of different stages to reduce the influence of pollution on detection. In addition, a multi-semantic spatial network is designed to capture the multi-semantic spatial information of each feature channel by using the multi-scale deep shared one-dimensional convolution, which effectively integrates global context dependence and multi-semantic spatial prior. Experimental results show that the comprehensive index F-measure on the public datasets ICDAR2015, Total-Text and CTW1500 is increased by 5.7%, 3.3%and 3.8% respectively. Furthermore, the precision, recall, and F-measure on the dataset Label-Text are 94.6%, 90.7%and 92.6% respectively. The label text detection VIoT system we designed has been deployed in the field and achieved excellent performance. The code of our pro

关键词： Semantics

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Leveraging Information-Centric Edge Computing in Private 5G Cellular Networks via the W3C Web of Things 22

Leveraging Information-Centric Edge Computing in Private 5G ...

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22nd IEEE Consumer Communications and Networking Conference, CCNC 2025

作者： Romann, Jan Damer, Hugo Hakim Gias, T. M. Rayhan Bergmann, Olaf University of Applied Sciences Emden/Leer Faculty of Technology Department of Electrical Engineering and Computer Science Constantiaplatz 4 Emden 26723 Germany

ISBN: (纸本)9798331508050

In this paper, we present an architecture for the deployment of an edge computing system based on Named Data Networking (NDN) as part of a private 5G network. Our proposed architecture integrates IP-based and non-IP-based components using the W3C Web of Things (WoT) standards, including a Thing Description Directory (TDD). Our results highlight the potential of both edge computing and WoT concepts for private 5G deployments but also reveal several standardization gaps that need to be closed to make effective use of the new technologies. © 2025 IEEE.

关键词： 5G CoAP Edge Computing Named Data Networking Web of Things

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Alternative agriculture land-use transformation pathways by partial-equilibrium agricultural sector model: a mathematical approach

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International Journal of Information Technology (Singapore) 2025年第4期17卷 2533-2552页

作者： Kanojia, Malvika Kamani, Prerna Kashyap, Gautam Siddharth Naz, Shafaq Wazir, Samar Chauhan, Abhishek F-131/132 Near Ram Mandir West Vinod Nagar New Delhi India B-74-S/4 Ganapati Apartment Dilshad Colony Delhi India Department of Computer Science and Engineering Jamia Hamdard New Delhi India 31 Country Homes West South City Punjab Ludhiana India

Humanity’s progress in combating hunger, poverty, and child mortality is marred by escalating environmental degradation due to rising greenhouse gas emissions and climate change impacts. Despite positive developments, ecosystems are suffering globally. Regional strategies for mitigating and adapting to climate change must be viewed from a global perspective. The 2015 UN Sustainable Development Goals reflect the challenge of balancing social and environmental aspects for sustainable development. Agriculture, vital for food production, also threatens Earth systems. A study examines the interplay of land-use impacts, modeling crop and livestock trade, and their effects on climate, biodiversity, water, and land using a Partial-Equilibrium Agricultural Sector Model. Different scenarios involving taxing externalities related to Earth processes were tested. Results show synergies in reducing emissions, biodiversity loss, water use, and phosphorus pollution, driven by shifts in crop management. Nitrogen application and deforestation scenarios exhibit weaker synergies and more conflicts. The study offers insights into SDG interactions and the potential for sustainable farming. © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Agriculture Biodiversity Climate change Land Partial equilibrium model

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Enhanced Influence Detection in Social Networks Using a Covariance-Based Measure

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Procedia computer science 2025年 257卷 545-552页

作者： Ahmad Zareie Amir Sheikhahmadi Rizos Sakellariou School of Computer Science The University of Sheffield Sheffield S1 4DP UK School of Engineering RMIT University Melbourne VIC 3000 Australia Department of Computer Science The University of Manchester Manchester M13 9PL UK

关键词： Centrality measures User influence Message spreading Social networks

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