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arXiv 2024年

作者： Zhou, Chuang Li, Yang Ma, Li Yang, Jie Huang, Wei Sun, Ao Wang, Heng Luo, Yujie Li, Yong Chen, Ziyang Lau, Francis C.M. Zhang, Yichen Yu, Song Guo, Hong Xu, Bingjie National Key Laboratory of Security Communication Institute of Southwestern Communication Chengdu610041 China College of Computer Science Chongqing University Chongqing400044 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Center for Quantum Information Technology Peking University Beijing100871 China Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

An integrated error-correction scheme with high throughput, low frame errors rate (FER) and high reconciliation efficiency under low signal to noise ratio (SNR) is one of the major bottlenecks to realize high-performance and low-cost continuous variable quantum key distribution (CV-QKD). To solve this long-standing problem, a novel two-stage error correction method with limited precision that is suitable for integration given limited on-chip hardware resource while maintaining excellent decoding performance is proposed, and experimentally verified on a commercial FPGA. Compared to state-of-art results, the error-correction throughput can be improved more than one order of magnitude given FER © 2024, CC BY.

关键词： Error correction

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Multi-layer perceptron's neural network with optimization algorithm for greenhouse gas forecasting systems

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Environmental Challenges 2023年 11卷

作者： Nanda, Ashok Kumar S, Neelakandan Gupta, Sachi Saleth, Angel Latha Mary S, Ramya. Kiran, Siripuri Department of CSE B V Raju Institute of Technology Telangana Narsapur Medak India Department of Computer Science and Engineering R.M.K Engineering College Chennai India Department of Information Technology IMS Engineering College Ghaziabad India Department of Computer Science and Business Systems Sri Eshwar College of Engineering India Department of Electronics and Communication R.V.College of Engineering India Department of CSE(Networks) Kakatiya Institute of Technology & Science Telangana Warangal 15 India

China, India, and the United States consume the most energy and emit the most CO2. According to ***, India's CO2 emission is 1.80 tnes per capita, which is harmful to living beings: hence, this study exhibits India's harmful CO2 emission effect and forecasts CO2 emission for the next ten years using univariate time-series data from 1980 to 2019. A multilayer perceptron is used in this study to analyse 2099 experimental data of binary systems made up of CO2 and ionic liquids and predict solubility. 33 different types of ionic liquids are represented in the dataset, which spans a wide variety of solubilities, pressures, and temperatures. In recent decades, greenhouse gas (GHG) emissions have caused air pollution and environmental problems in several countries. A precise prediction is essential for managing and planning for the decrease of greenhouse gas emissions. Furthermore, the Modified Coyote Optimization Algorithm was used to extract required properties. The empirical data revealed that predictions obtained from Multi-Layer Perceptron's Neural Network (MPNN) were more accurate than those derived from other models. The MPNN-MCOA identified a link between CO2 emissions, economic growth, and entrepreneurship. Government, personal liberty, education, and pollution all have a negative correlation. We conclude by emphasising the critical role of machine learning in achieving carbon neutrality, from global-scale energy management to the revolutionary potential of atomic-scale MPNN-MCOA simulations for application development. As a result, one of the most reliable approaches for estimating greenhouse gas (GHG) emissions from agricultural regions and companies was recommended: the MPNN-MCOA model. The Artificial neural network is trained with three input combinations with three combinations of thermodynamic variables such as temperature (T), pressure (P), critical temperature (Tc), critical pressure, the critical compressibility factor (Zc), and the acentric f

关键词： Co2 emission Forecasting Greenhouse gas (GHG) Machine-learning algorithms Modified coyote optimization algorithm (MCOA) Multi-layer perceptron's neural network (MPNN)

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A Fuzzy Group Decision Making Method with Positive and Negative Comparisons in the Ahp Method

SSRN

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SSRN 2022年

作者： Song, Mingli Gu, Zehao Pedrycz, Witold Liu, Wen School of Computer and Cyber Sciences Communication University of China Beijing China State Key Laboratory of Media Convergence and Communication Communication University of China Beijing China School of Computer Science Fudan University Shanghai China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6R 2G7 Canada Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia Systems Research Institute Polish Academy of Sciences Warsaw Poland

In this article, we are concerned with developing a comprehensive fuzzy AHP (Analytic Hierarchy Process)-based Group Decision Making (GDM) framework. Traditional AHP- based GDM models assume all decision maker express their comparisons using nine integers (using the scale of integers {1, 2, 3, …, 9}) which ignores measuring the comprehensiveness of thinking of a certain decision maker since he/she only displays own positive comparisons. In contrast, negative comparisons together with positive ones compel decision makers to balance more factors thereby increasing the individual’s consistency. We construct a corresponding positive-negative comparisons based GDM framework that simultaneously incorporates fuzzy terms and weight distribution mechanisms. The key feature of this study is to develop a sound design framework by considering human beings’ variability and the ambiguity of linguistic terms in GDM and provide an initially different evaluation strategy and carry out its subsequent analysis framework. A fuzzy Geometric Consistency Index (GCI) test is designed to evaluate the consistency of fuzzy AHP problems. Meanwhile, Tucker's congruence coefficient (TCC) method is used to dynamically evaluate the importance level of each decision maker before aggregation. Some illustrative examples are provided to show the effectiveness of the proposed method. © 2022, The Authors. All rights reserved.

关键词： Decision making

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Controlling Unknown Quantum States via Data-Driven State Representations

arXiv

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arXiv 2024年

作者： Zhu, Yan Xiao, Tailong Zeng, Guihua Chiribella, Giulio Wu, Ya-Dong QICI Quantum Information and Computation Initiative Department of Computer Science The University of Hong Kong Pokfulam Road Hong Kong State Key Laboratory of Advanced Optical Communication Systems and Networks Institute for Quantum Sensing and Information Processing Shanghai Jiao Tong University Shanghai200240 China Hefei National Laboratory Hefei230088 China Shanghai Research Center for Quantum Sciences Shanghai201315 China Department of Computer Science Parks Road OxfordOX1 3QD United Kingdom Perimeter Institute for Theoretical Physics WaterlooONN2L 2Y5 Canada John Hopcroft Center for Computer Science Shanghai Jiao Tong University Shanghai200240 China

Accurate control of quantum states is crucial for quantum computing and other quantum technologies. In the basic scenario, the task is to steer a quantum system towards a target state through a sequence of control operations. Determining the appropriate operations, however, generally requires information about the initial state of the system. Gathering this information becomes increasingly challenging when the initial state is not a priori known and the system’s size grows large. To address this problem, we develop a machine-learning algorithm that uses a small amount of measurement data to construct its internal representation of the system’s state. The algorithm compares this data-driven representation with a representation of the target state, and uses reinforcement learning to output the appropriate control operations. We illustrate the effectiveness of the algorithm showing that it achieves accurate control of unknown many-body quantum states and non-Gaussian continuous-variable states using data from a limited set of quantum measurements. © 2024, CC BY-NC-SA.

关键词： Reinforcement learning

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STAR-RIS-Assisted Covert Wireless communications With Randomly Distributed Blockages

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IEEE Transactions on Wireless communications 2025年第6期24卷 4690-4705页

作者： Li, Xingwang Zhao, Jingwei Chen, Gaojie Hao, Wanming Costa, Daniel Benevides da Nallanathan, Arumugam Shin, Hyundong Yuen, Chau Henan Polytechnic University School of Physics and Electronic Information Engineering Jiaozuo454099 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Guangdong Shenzhen518107 China University of Surrey 5GIC 6GIC Centre GuildfordGU2 7XH United Kingdom Zhengzhou University School of Electrical and Information Engineering Zhengzhou450001 China King Fahd University of Petroleum and Minerals Interdisciplinary Research Center for Communication Systems and Sensing Department of Electrical Engineering Dhahran31261 Saudi Arabia Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of Kyung Hee University Department of Electronics and Information Convergence Engineering Gyeonggido Yongin-si17104 Korea Republic of Nanyang Technological University School of Electrical and Electronics Engineering Jurong West 639798 Singapore

As one of the promising technologies, reconfigurable intelligent surface (RIS) and simultaneous transmitting and reflecting RIS (STAR-RIS) have attracted great interest. However, the existing RISs offer broadband tuning capability without filtering function due to the absence of radio frequency (RF) units, which easily leads to the unexpected tuning of the RIS undesired signals, especially in large-scale deployments. For the target network, it is difficult to obtain the parameter settings of RISs to serve other networks, which causes the unpredictability of the wireless environment. In this paper, we consider the covert communication in a STAR-RIS assisted random wireless network with randomly distributed blockages. We investigate the impact of STAR-RIS large-scale deployment on covert communication and leverage its inherent unpredictability for improving the covertness. We derive the average detection error probability for warden within the random wireless networks. Furthermore, we optimize the passive beamforming of STAR-RIS to maximize the covert communication rate, considering both direct and indirect line-of-sight (LoS) links. To address this, we employ an alternating optimization (AO) algorithm based on the semi-definite programming (SDP) method. Finally, numerical results demonstrate significant enhancements and increase covert capability achieved through the large-scale deployment of STAR RIS. © 2002-2012 IEEE.

关键词： Numerical methods

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Enhancing Reliability in Federated mmWave networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition

arXiv

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arXiv 2023年

作者： Al-Quraan, Mohammad Zoha, Ahmed Centeno, Anthony Salameh, Haythem Bany Muhaidat, Sami Imran, Muhammad Ali Mohjazi, Lina James Watt School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom Networks Communication Engineering Department Al Ain University Al Ain64141 United Arab Emirates Telecommunications Engineering Department Yarmouk University Irbid21163 Jordan KU Center for Cyber-Physical Systems Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi127788 United Arab Emirates Department of Systems and Computer Engineering Carleton University OttawaONK1S 5B6 Canada

This article introduces a new method to improve the dependability of millimeter-wave (mmWave) and terahertz (THz) network services in dynamic outdoor environments. In these settings, line-of-sight (LoS) connections are easily interrupted by moving obstacles like humans and vehicles. The proposed approach, coined as Radar-aided Dynamic blockage Recognition (RaDaR), leverages radar measurements and federated learning (FL) to train a dual-output neural network (NN) model capable of simultaneously predicting blockage status and time. This enables determining the optimal point for proactive handover (PHO) or beam switching, thereby reducing the latency introduced by 5G new radio procedures and ensuring high quality of experience (QoE). The framework employs radar sensors to monitor and track objects movement, generating range-angle and range-velocity maps that are useful for scene analysis and predictions. Moreover, FL provides additional benefits such as privacy protection, scalability, and knowledge sharing. The framework is assessed using an extensive real-world dataset comprising mmWave channel information and radar data. The evaluation results show that RaDaR substantially enhances network reliability, achieving an average success rate of 94% for PHO compared to existing reactive HO procedures that lack proactive blockage prediction. Additionally, RaDaR maintains a superior QoE by ensuring sustained high throughput levels and minimising PHO latency. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Photonic-based fully integrated microwave instantaneous frequency measurement

Photonic-based fully integrated microwave instantaneous freq...

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2021 Asia communications and Photonics Conference, ACP 2021

作者： Tao, Yuansheng Tao, Zihan Shu, Haowen Jin, Ming Wang, Xingjun State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics School of Electronics Engineering and Computer Science Peking University Beijing100871 China Frontier Science Center for Nano-optoelectronics Peking University Beijing100871 China Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China Peng Cheng Laboratory Shenzhen518055 China

We demonstrate the first photonic-based fully integrated microwave instantaneous frequency measurement system, showing a wideband measurement range of 2-34 GHz and an ultralow estimation error of 10.85 MHz. © Opt... 详细信息

ISBN: (纸本)9781957171005

关键词： Frequency estimation

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Distributed Task-Oriented communication networks with Multimodal Semantic Relay and Edge Intelligence

arXiv

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arXiv 2024年

作者： Guo, Jie Chen, Hao Song, Bin Chi, Yuhao Yuen, Chau Yu, Fei Richard Li, Geoffrey Ye Niyato, Dusit The State Key Laboratory of Integrated Services Networks Xidian University Xi’an710071 China The Hangzhou Institute of Technology Xidian University Hangzhou311231 China The School of Electrical and Electronics Engineering The School of Computer Science and Engineering Respectively Nanyang Technological University 639798 Singapore The Department of Systems and Computer Engineering Carleton University OttawaK1S 5B6 Canada The Faculty of Engineering Imperial College London LondonSW7 2AZ United Kingdom

In this article, we present a novel framework, named distributed task-oriented communication networks (DTCN), based on recent advances in multimodal semantic transmission and edge intelligence. In DTCN, the multimodal knowledge of semantic relays and the adaptive adjustment capability of edge intelligence can be integrated to improve task performance. Specifically, we propose the key techniques in the framework, such as semantic alignment and complement, a semantic relay scheme for deep joint source-channel relay coding, and collaborative device-server optimization and inference. Furthermore, a multimodal classification task is used as an example to demonstrate the benefits of the proposed DTCN over existing methods. Numerical results validate that DTCN can significantly improve the accuracy of classification tasks, even in harsh communication scenarios (e.g., low signal-to-noise regime), thanks to multimodal semantic relay and edge intelligence. © 2024, CC BY-NC-SA.

关键词： Signal to noise ratio

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Hybrid-integrated high-performance microwave photonic filter with switchable response

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Photonics Research 2021年第8期9卷 1569-1580页

作者： YUANSHENG TAO HAOWEN SHU XINGJUN WANG MING JIN ZIHAN TAO FENGHE YANG JINGBO SHI JUN QIN State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China Frontier Science Center for Nano-optoelectronics Peking UniversityBeijing 100871China Peking University Yangtze Delta Institute of Optoelectronics Nantong 226010China Peng Cheng Laboratory Shenzhen 518055China

The integrated microwave photonic filter(MPF),as a compelling candidate for next-generation radio-frequency(RF)applications,has been widely investigated for ***,most integrated MPFs reported thus far have merely incorporated passive photonic components onto a chip-scale platform,while all necessary active devices are still bulk and *** few attempts to higher photonic integration of MPFs have been executed,the achieved filtering performances are fairly limited,which impedes the pathway to practical ***,we demonstrate,for the first time to our knowledge,an all-integrated MPF combined with high filtering performances,through hybrid integration of an In P chip-based laser and a monolithic silicon photonic circuit consisting of a dual-drive Mach–Zehnder modulator,a high-Q ring resonator,and a *** integrated MPF exhibits a high spectral resolution as narrow as 360 MHz,a wide-frequency tunable range covering the S-band to K-band(3 to 25 GHz),and a large rejection ratio of>40 d ***,the filtering response can be agilely switched between the bandpass and band-stop function with a transient respond time(48μs).Compared with previous MPFs in a similar integration level,the obtained spectral resolution in this work is dramatically improved by nearly one order of magnitude,while the valid frequency tunable range is broadened more than twice,which can satisfy the essential filtering requirements in actual RF *** a paradigm demonstration oriented to real-world scenarios,high-resolution RF filtering of realistic microwave signals aiming for interference rejection and channel selection is *** work points out a feasible route to a miniaturized,high-performance,and cost-effective MPF leveraging hybrid integration approach,thus enabling a range of RF applications from wireless communication to radar toward the higher-frequency region,more compact size,and lower power consumption.

关键词： filter modulator switched

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Silicon photonics for high-capacity data communications

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Photonics Research 2022年第9期10卷 I0002-I0030页

作者： YAOCHENG SHI YONG ZHANG YATING WAN YU YU YUGUANG ZHANG XIAO HU XI XIAO HONGNAN XU LONG ZHANG BINGCHENG PAN Centre for Optical and Electromagnetic Research State Key Laboratory for Modern Optical InstrumentationCollege of Optical Science and EngineeringZhejiang UniversityZijingang CampusHangzhou 310058China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China Institute for Energy Efficiency University of California Santa BarbaraSanta BarbaraCalifornia 93106USA Electrical and Computer Engineering Department King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Wuhan National Laboratory for Optoelectronics&School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China National Information Optoelectronics Innovation Center China Information and Communication Technologies Group Corporation(CICT)Wuhan 430074China State Key Laboratory of Optical Communication Technologies and Networks China Information and Communication Technologies Group Corporation(CICT)Wuhan 430074China Department of Electronic Engineering The Chinese University of Hong KongShatinNew TerritoriesHong KongChina

In recent years,optical modulators,photodetectors,(de)multiplexers,and heterogeneously integrated lasers based on silicon optical platforms have been *** performance of some devices even surpasses the traditional III-V and photonic integrated circuit(PIC)platforms,laying the foundation for large-scale photonic *** photonic technology can overcome the limitations of traditional transceiver technology in high-speed transmission networks to support faster interconnection between data *** this article,we will review recent progress for silicon *** first part gives an overview of recent achievements in silicon *** second part introduces the silicon photonic building blocks,including low-loss waveguides,passive devices,modulators,photodetectors,heterogeneously integrated lasers,and so *** the third part,the recent progress on high-capacity silicon photonic transceivers is *** the fourth part,we give a review of high-capacity silicon photonic networks on chip.

关键词： interconnection passive networks

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