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Joint Block-Sparse Recovery Using Simultaneous BOMP/BOLS

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arXiv 2023年

作者： Lu, Liyang Wang, Zhaocheng Chen, Sheng The Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China The Tsinghua Shenzhen International Graduate School Shenzhen518055 China The School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

We consider the greedy algorithms for the joint recovery of high-dimensional sparse signals based on the block multiple measurement vector (BMMV) model in compressed sensing (CS). To this end, we first put forth two versions of simultaneous block orthogonal least squares (S-BOLS) as the baseline for the OLS framework. Their cornerstone is to sequentially check and select the support block to minimize the residual power. Then, parallel performance analysis for the existing simultaneous block orthogonal matching pursuit (S-BOMP) and the two proposed S-BOLS algorithms is developed. It indicates that under the conditions based on the mutual incoherence property (MIP) and the decaying magnitude structure of the nonzero blocks of the signal, the algorithms select all the significant blocks before possibly choosing incorrect ones. In addition, we further consider the problem of sufficient data volume for reliable recovery, and provide its MIP-based bounds in closed-form. These results together highlight the key role of the block characteristic in addressing the weak-sparse issue, i.e., the scenario where the overall sparsity is too large. The derived theoretical results are also universally valid for conventional block-greedy algorithms and non-block algorithms by setting the number of measurement vectors and the block length to 1, respectively. Copyright © 2023, The Authors. All rights reserved.

关键词： Compressed sensing

Thermal Comfort Model Established by Using Machine Learning Strategies Based on Physiological Parameters in Hot and Cold Environments

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Indoor Air 2024年第1期2024卷 9427822-9427822页

作者： Ho, Tseng-Fung Tsai, Hsin-Han Chuang, Chi-Chih Lee, Dasheng Huang, Xi-Wei Chen, Hsiang Cheng, Chin-Chi Kuo, Yaw-Wen Chou, Hsin-Hung Hsiao, Wei-Han Yang, Ching Hsu Li, Yung-Hui Department of Industrial Engineering and Management National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd. Taiping Dist Taichung City411030 Taiwan Department of Energy and Refrigerating Air-Conditioning Engineering National Taipei University of Technology 1 Section 3 Zhongxiao East Road Taipei10608 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou54561 Taiwan Department of Electrical Engineering National Chi Nan University Nantou54561 Taiwan Department of Computer Science and Information Engineering National Chi Nan University Nantou54561 Taiwan Department and Institute of Electrical Engineering Chang Gung University No. 259 Wenhua 1st Rd. Guishan Dist Taoyuan City33302 Taiwan Department of Emergency Medicine Hsinchu Mackay Memorial Hospital No. 690 Sec. 2 Guangfu Rd. East Dist Hsinchu City300041 Taiwan AI Research Center Hon Hai Research Institute Taipei City114699 Taiwan

The air-conditioning systems have become an indispensable part of our daily life for keeping the quality of life. However, to improve the thermal comfort and reduce energy consumption is crucial to use the air conditioners effectively with rapid development of artificial intelligence technology. This study explored the correlation between the response of human physiological parameters and thermal sensation voting (TSV) to evaluate the comfort level among various cold and hot stimulations. The variations of the three physiological parameters, which were body surface temperature, skin blood flow (SBF), and sweat area on the skin surface, and TSV values were all positively correlated with the stimulation amount under the stimulation of cold wind, hot wind, and heat radiation, but the relationship was not completely linear. Among the three physiological parameters, the forehead skin temperature has the closest relationship with TSV, followed by the SBF and sweat. Among three stimulations, the cold wind stimulation causes the closest relationship between TSV and forehead temperature, followed by the radiation and hot wind stimulations. Through three different machine learning models, namely, random forest (RF) model, support vector machine (SVM) model, and neural network (NN) model, the stimulation of cold wind, hot wind, and heat radiation was applied to investigate the variation of the three physiological parameters as the input of the models. Moreover, the models were evaluated and verified by TSV. The results revealed that among the three different machine learning methods, RF had the best accuracy. The established thermal comfort models can predict the real-Time user's thermal comfort feeling, so that air-conditioning equipment's performance can be optimized to create a healthy and energy-saving comfortable environment. © 2024 Tseng-Fung Ho et al.

关键词： Thermal comfort

A Tutorial on Movable Antennas for Wireless Networks

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arXiv 2025年

作者： Zhu, Lipeng Ma, Wenyan Mei, Weidong Zeng, Yong Wu, Qingqing Ning, Boyu Xiao, Zhenyu Shao, Xiaodan Zhang, Jun Zhang, Rui Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Chengdu611731 China National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China School of Electronic and Information Engineering Beihang University Beijing100191 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada State Key Laboratory of CNS/ATM MIIT Key Laboratory of Complex-field Intelligent Sensing Beijing Institute of Technology Beijing100081 China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen518172 China

Movable antenna (MA) has been recognized as a promising technology to enhance the performance of wireless communication and sensing by enabling antenna movement. Such a significant paradigm shift from conventional fixed antennas (FAs) to MAs offers tremendous new opportunities towards realizing more versatile, adaptive and efficient next-generation wireless networks such as 6G. In this paper, we provide a comprehensive tutorial on the fundamentals and advancements in the area of MA-empowered wireless networks. First, we overview the historical development and contemporary applications of MA technologies. Next, to characterize the continuous variation in wireless channels with respect to antenna position and/or orientation, we present new field-response channel models tailored for MAs, which are applicable to narrowband and wideband systems as well as far-field and near-field propagation conditions. Subsequently, we review the state-of-the-art architectures for implementing MAs and discuss their practical constraints. A general optimization framework is then formulated to fully exploit the spatial degrees of freedom (DoFs) in antenna movement for performance enhancement in wireless systems. In particular, we delve into two major design issues for MA systems. First, we address the intricate antenna movement optimization problem for various communication and/or sensing systems to maximize the performance gains achievable by MAs. Second, we deal with the challenging channel acquisition issue in MA systems for reconstructing the channel mapping between arbitrary antenna positions inside the transmitter and receiver regions. Moreover, we show existing prototypes developed for MA-aided communication/sensing and the experimental results based on them. Finally, the extension of MA design to other wireless systems and its synergy with other emerging wireless technologies are discussed. We also highlight promising research directions in this area to inspire future investigatio

关键词： Antenna arrays

Efficient Algorithms for Approximating Quantum Partition Functions at Low Temperature

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arXiv 2022年

作者： Helmuth, Tyler Mann, Ryan L. Department of Mathematical Sciences Durham University DurhamDH1 3LE United Kingdom Centre for Quantum Computation and Communication Technology Centre for Quantum Software and Information School of Computer Science Faculty of Engineering & Information Technology University of Technology SydneyNSW2007 Australia School of Mathematics University of Bristol BristolBS8 1UG United Kingdom

We establish an efficient approximation algorithm for the partition functions of a class of quantum spin systems at low temperature, which can be viewed as stable quantum perturbations of classical spin systems. Our algorithm is based on combining the contour representation of quantum spin systems of this type due to Borgs, Kotecký, and Ueltschi with the algorithmic framework developed by Helmuth, Perkins, and Regts, and Borgs et al. © 2022, CC BY.

关键词： Temperature

Centralized network infrastructure and virtualization of inter wireless networks

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AIP Conference Proceedings 2023年第1期2523卷

作者： Narendhar Mulugu Channapragada Rama Seshagiri Rao Yeligeti Raju L. N. C. Prakash K. 1Department of Computer Science and Engineering Malla Reddy Institute of Engineering and Technology Hyderabad Telangana India. 2Department of Computer Science and Engineering Vignana Bharathi Engineering College Hyderabad Telangana India. 3Department of Information Technology Vignana Bharathi Institute of Technology Hyderabad Telangana India. 4Department of Computer Science and Engineering CVR College of Engineering Hyderabad Telangana India.

Wireless network computing has been suggested as a voracious development by isolating and exchanging network infrastructure across various software systems in future wireless networks to counter the contradiction amongst the rapid development of the demand for information services besides the small bandwidth of resources. In this article, the multi-service virtualized wireless system consists of three broad-based situations and suggests a two-dimensional hierarchic resource distribution system. The resource division and allotment dilemma are composed of two-time scales with a large time frame before the equivalent lateral assets and a limited time frame for the intra-slice resource preparation. In the long run, the problem of pre-allotting inter-slice services is conceived by modelling the packets that arrive and serve each slice as a queuing device. In short, the source and energy management in each share is described as a stochastic optimization problem because of variable time and complex traffic arrivals. This problem aims to maximize overall output relative to various service quality criteria, including network stability, latency, throughput, and control restrictions. By applying the Lyapunov objective function, the stochastic optimization problem can be turned into a delay-aware optimization problematic methodology comprising a probabilistic and concave algorithm. The simulation findings show that the suggested systems will minimize uncertainty with an output loss of up to 0.017 percent relative to the optimum solution, which also allows for a balance in terms of the regulation coagulation Factor quality.

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Securing Reconfigurable Intelligent Surface-Aided Cell-Free Networks

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arXiv 2022年

作者： Hao, Wanming Li, Junjie Sun, Gangcan Zeng, Ming Dobre, Octavia A. Henan Institute of Advanced Technology School of Information Engineering Zhengzhou University Zhengzhou450001 China Henan Institute of Advanced Technology Zhengzhou University Zhengzhou450001 China School of Information Engineering Institute of Industrial Technology Zhengzhou University Zhengzhou450001 China Department of Electrical Engineering and Computer Engineering Universite Laval QuebecG1V 0A6 Canada Faculty of Engineering and Applied Science Memorial University St. John'sNLA1B 3X5 Canada

In this paper, we investigate the physical layer security in the reconfigurable intelligent surface (RIS)-aided cell-free networks. A maximum weighted sum secrecy rate problem is formulated by jointly optimizing the active beamforming (BF) at the base stations and passive BF at the RISs. To handle this non-trivial problem, we adopt the alternating optimization to decouple the original problem into two sub-ones, which are solved using the semidefinite relaxation and continuous convex approximation theory. To decrease the complexity for obtaining overall channel state information (CSI), we extend the proposed framework to the case that only requires part of the RIS’ CSI. This is achieved via deliberately discarding the RIS that has a small contribution to the user’s secrecy rate. Based on this, we formulate a mixed integer non-linear programming problem, and the linear conic relaxation is used to obtained the solutions. Finally, the simulation results show that the proposed schemes can obtain a higher secrecy rate than the existing ones. © 2022, CC BY.

关键词： Channel state information

Ultrahigh bandwidth applications of optical microcombs 4

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Ultrahigh bandwidth applications of optical microcombs

AI and Optical Data Sciences IV 2023

作者： Tan, M. Sun, Y. Wu, J. Xu, X. Li, Yang Corcoran, B. Chu, S. Little, B. Morandotti, R. Mitchell, A. Moss, D.J. School of Engineering RMIT University MelbourneVIC3001 Australia Optical Sciences Centre Swinburne University of Technology HawthornVIC3122 Australia State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia Department of Physics City University of Hong Kong Tat Chee Avenue Hong Kong Xi'an Institute of Optics and Precision Mechanics Precision Mechanics of CAS Xi'an China INRS-Énergie Matériaux et Télécommunications 1650 Boulevard Lionel-Boulet VarennesQCJ3X 1S2 Canada

ISBN: (纸本)9781510659810

We report ultrahigh bandwidth applications of Kerr microcombs at data rates beyond 10 Terabits/s. Optical neural networks can dramatically accelerate the computing speed to overcome the inherent bandwidth bottleneck of electronics. At the same time, digital signal processing has become central to many fields, from coherent optical telecommunications where it is used to compensate signal impairments, to image processing, important for observational astronomy, medical diagnosis, autonomous driving, big data and particularly artificial intelligence. Digital signal processing had traditionally been performed electronically, but new applications, particularly those involving real time video image processing, are creating unprecedented demand for ultrahigh performance, including bandwidth and reduced energy consumption. We use a new and powerful class of micro-comb called soliton crystals that exhibit robust operation and stable generation as well as a high intrinsic efficiency with a low spacing of 48.9 GHz. We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS/s (TOPS) on 250,000 pixel images for 10 kernels simultaneously - enough for facial image recognition. We use the same hardware to sequentially form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 900 pixel handwritten digit images. Finally, we demonstrate a photonic digital signal processor operating at 18 Tb/s and use it to process multiple simultaneous video signals in real-time. The system processes 400,000 video signals concurrently, performing 34 functions simultaneously that are key to object edge detection, edge enhancement and motion blur. As compared with spatial-light devices used for image processing, our system is not only ultra-high speed but highly reconfigurable and programable, able to perform many different functions without any change to the physical hardware. Our approach, based on an integrated Kerr solit

关键词： Digital signal processing

Massive Access of Static and Mobile Users via Reconfigurable Intelligent Surfaces: Protocol Design and Performance Analysis

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arXiv 2023年

作者： Cao, Xuelin Yang, Bo Huang, Chongwen Alexandropoulos, George C. Yuen, Chau Han, Zhu Vincent Poor, H. Hanzo, Lajos The School of Cyber Engineering Xidian University Xi’an710071 China The Engineering Product Development Pillar Singapore University of Technology and Design 487372 Singapore College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China International Joint Innovation Center Zhejiang University Haining314400 China Hangzhou310027 China The Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens15784 Greece The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States The School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

The envisioned wireless networks of the future entail the provisioning of massive numbers of connections, heterogeneous data traffic, ultra-high spectral efficiency, and low latency services. This vision is spurring research activities focused on defining a next generation multiple access (NGMA) protocol that can accommodate massive numbers of users in different resource blocks, thereby, achieving higher spectral efficiency and increased connectivity compared to conventional multiple access schemes. In this article, we present a multiple access scheme for NGMA in wireless communication systems assisted by multiple reconfigurable intelligent surfaces (RISs). In this regard, considering the practical scenario of static users operating together with mobile ones, we first study the interplay of the design of NGMA schemes and RIS phase configuration in terms of efficiency and complexity. Based on this, we then propose a multiple access framework for RIS-assisted communication systems, and we also design a medium access control (MAC) protocol incorporating RISs. In addition, we give a detailed performance analysis of the designed RIS-assisted MAC protocol. Our extensive simulation results demonstrate that the proposed MAC design outperforms the benchmarks in terms of system throughput and access fairness, and also reveal a trade-off relationship between the system throughput and fairness. © 2023, CC BY.

关键词： Medium access control

Exploring Spatial Hybrid User Interface for Visual Sensemaking

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IEEE Transactions on Visualization and computer Graphics 2025年 PP卷 PP页

作者： Tong, Wai Li, Haobo Xia, Meng Kam-Kwai, Wong Pong, Ting-Chuen Qu, Huamin Yang, Yalong Nanchang University School of Mathematics and Computer Sciences Nanchang 330031 China Shenzhen University School of Architecture & Urban Planning Shenzhen 518060 China University of Calgary Department of Geomatics Engineering Calgary T2N 1N4 Canada Wuhan University School of Geodesy and Geomatics Wuhan 430079 China Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan 430079 China Finnish Geospatial Research Institute Department of Remote Sensing and Photogrammetry Masala 02430 Finland Wuhan University of Technology School of Safety Science and Emergency Management Wuhan 430079 China Nanjing University of Information Science & Technology School of Remote Sensing & Geomatics Engineering Nanjing 210000 China Nanjing Forestry University College of Civil Engineering Nanjing 210037 China Guangzhou Urban Planning & Design Survey Research Institute Guangzhou 51100 China

We built a spatial hybrid system that combines a personal computer (PC) and virtual reality (VR) for visual sensemaking, addressing limitations in both environments. Although VR offers immense potential for interactive data visualization (e.g., large display space and spatial navigation), it can also present challenges such as imprecise interactions and user fatigue. At the same time, a PC offers precise and familiar interactions but has limited display space and interaction modality. Therefore, we iteratively designed a spatial hybrid system (PC+VR) to complement these two environments by enabling seamless switching between PC and VR environments. To evaluate the system's effectiveness and user experience, we compared it to using a single computing environment (i.e., PC-only and VR-only). Our study results (N=18) showed that spatial PC+VR could combine the benefits of both devices to outperform user preference for VR-only without a negative impact on performance from device switching overhead. Finally, we discussed future design implications. © 1995-2012 IEEE.

关键词： Data visualization