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A General Framework for Probabilistic Relay Selection in Asymmetric Buffer-Aided Cooperative Relaying Systems

IEEE Transactions on Communications 2025年

作者： Xu, Peng Luo, Chenghong Huang, Chong Chen, Gaojie He, Yuanzhi Li, Yong Wong, Kai-Kit Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China Chongqing Key Laboratory of Mobile Communications Technology Chongqing400065 China 5GIC & 6GIC University of Surrey GuildfordGU2 7XH United Kingdom Guangdong Shenzhen518107 China University of Surrey 5GIC & 6GIC United Kingdom PLA Institute of Systems Engineering Academy of Military Science Beijing100141 China Chongqing University College of Computer Science Chongqing400044 China University College London Department of Electronic and Electrical Engineering LondonWC1E 7JE United Kingdom

This paper presents a general framework for probabilistic relay selection (RS) in asymmetric buffer-aided cooperative relaying systems, which caters to scenarios with both perfect and imperfect channel state information (CSI) during the RS process. The framework extends and generalizes many existing buffer-aided RS schemes. In particular, we introduce an auxiliary stochastic process which assigns varying selection probabilities to different links, considering the dynamic wireless channel and buffer states. Subsequently, we leverage the obtained outage probability and average packet delay (APD) to formulate outage optimization problems while adhering to APD. To address the intricate high-dimensional optimization problems, we employ a deep learning (DL) approach, which involves designing probability mass functions for the auxiliary stochastic process and developing an effective loss function to update the neural network. Simulation results unequivocally demonstrate the superior performance of the proposed DL-based probabilistic RS scheme compared to benchmark schemes, particularly in scenarios involving imperfect CSI. © 1972-2012 IEEE.

关键词： Stochastic systems

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InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping

arXiv

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arXiv 2022年

作者： Li, Shuaixin Tian, Bin Xiaozhou, Zhu Jianjun, Gui Wen, Yao Li, Guangyun The National Innovation Institute of Defence Technology PLA Academy of Military Sciences Beijing100079 China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing100081 China The Department of Geospatial Information PLA Information Engineering University Zhengzhou450001 China

Traditional LiDAR odometry (LO) systems mainly leverage geometric information obtained from the traversed surroundings to register laser scans and estimate LiDAR ego-motion, while it may be unreliable in dynamic or unstructured environments. This paper proposes InTEn-LOAM, a low-drift and robust LiDAR odometry and mapping method that fully exploits implicit information of laser sweeps (i.e., geometric, intensity, and temporal characteristics). Scanned points are projected to cylindrical images, which facilitate the efficient and adaptive extraction of various types of features, i.e., ground, beam, facade, and reflector. We propose a novel intensity-based points registration algorithm and incorporate it into the LiDAR odometry, enabling the LO system to jointly estimate the LiDAR ego-motion using both geometric and intensity feature points. To eliminate the interference of dynamic objects, we propose a temporal-based dynamic object removal approach to filter them out before map update. Moreover, the local map is organized and downsampled using a temporal-related voxel grid filter to maintain the similarity between the current scan and the static local map. Extensive experiments are conducted on both simulated and real-world datasets. The results show that the proposed method achieves similar or better accuracy w.r.t the state-of-the-arts in normal driving scenarios and outperforms geometric-based LO in unstructured environments. © 2022, CC BY.

关键词： Optical radar

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Privacy-aware laser wireless power transfer for aerial multi-access edge computing: A colonel blotto game approach

TechRxiv

引用

TechRxiv 2021年

作者： Zhang, Long Wang, Yao Min, Minghui Guo, Chao Sharma, Vishal Han, Zhu The School of Information and Electrical Engineering Hebei University of Engineering Handan056038 China The School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China The Department of Communication Engineering Beijing Singapore Electronics Science and Technology Institute Beijing100070 China The School of Electronics Electrical Engineering and Computer Science Queens University Belfast Northern Ireland United Kingdom The Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of

Multi-access edge computing (MEC) has been recently considered in challenging environments lacking available terrestrial infrastructures by extending the computing resources to the air for further enhancing the computation capability of the new aerial user equipment (AUE). Additionally, wireless power transfer (WPT) is a promising solution to prolong the battery lifetime of energy-constrained wireless devices like AUEs. In this paper, we investigate the integration of laser-beamed WPT in the high-altitude platform (HAP) aided MEC systems for the HAP-connected AUEs. By discretizing the three-dimensional coverage space of the HAP, we present a multi-tier tile grid-based spatial structure to provide aerial locations for laser charging. With this setup, we identify a new privacy vulnerability caused by the openness during the air-to-air transmission of WPT signaling messages in the presence of a terrestrial adversary. A privacy-aware laser-powered aerial MEC framework is developed that addresses this vulnerability and enhances the location privacy of AUEs for laser WPT. Specifically, the interaction between the HAP as a defender and the adversary in their tile grid allocation as charging locations to AUEs is formulated as a Colonel Blotto game, which models the competition of the players for limited resources over multiple battlefields for a finite time horizon. Moreover, we derive the mixed-strategy Nash equilibria of the tile grid allocation game for both symmetric and asymmetric tile grids between the defender and the adversary. Simulations results show that the proposed framework significantly outperforms the design baselines with a given privacy protection level in terms of system-wide expected total utilities. © 2021, CC BY.

关键词： Antennas

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Quantum Illumination with a Hetero-Homodyne Receiver and Sequential Detection

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Physical Review Applied 2023年第1期20卷 014030-014030页

作者： Maximilian Reichert Quntao Zhuang Jeffrey H. Shapiro Roberto Di Candia Department of Physical Chemistry University of the Basque Country UPV/EHU Apartado 644 Bilbao 48080 Spain EHU Quantum Center University of the Basque Country UPV/EHU Bilbao Spain Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles California 90089 USA Department of Physics and Astronomy University of Southern California Los Angeles California 90089 USA Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Information and Communications Engineering Aalto University Espoo 02150 Finland Dipartimento di Fisica Università degli Studi di Pavia Via Agostino Bassi 6 Pavia I-27100 Italy

We propose a hetero-homodyne receiver for quantum illumination (QI) target detection. Unlike prior QI receivers, it uses a cascaded positive operator-valued measurement (POVM) that does not require a quantum interaction between QI’s returned radiation and its stored idler. When used without sequential detection its performance matches the 3-dB quantum advantage over optimum classical illumination (CI) that Guha and Erkmen’s [Phys. Rev. A 80, 052310 (2009)] phase-conjugate and parametric amplifier receivers enjoy. When used in a sequential detection QI protocol, the hetero-homodyne receiver offers a 9-dB quantum advantage over a conventional CI radar, and a 3-dB advantage over a CI radar with sequential detection. Our work is a significant step forward toward a practical quantum radar for the microwave region, and, more generally, emphasizes the potential offered by cascaded POVMs for quantum radar.

关键词： Quantum optics Quantum sensing Radio frequency techniques Optical sources & detectors Homodyne & heterodyne detection Microwave techniques

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Low-Loss Adiabatic Silicon Chip-to-Fibre Couplers in the Mid-Infrared and Applications to Nonlinear Optics

Low-Loss Adiabatic Silicon Chip-to-Fibre Couplers in the Mid...

引用

Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Dominic A. Sulway Yuya Yonezu Lawrence M. Rosenfeld Pisu Jiang John G. Rarity Takao Aoki Joshua W. Silverstone Quantum Engineering Centre for Doctoral Training Nanoscience and Quantum information Building University of Bristol Bristol UK Department of Electrical and Electronic Engineering Quantum Engineering Technology Labs H. H. Wills Physics Laboratory University of Bristol Bristol UK NTT Basic Research Laboritories NTT Japan Atsugi Kanagawa Japan Department of Applied Physics Waseda University Shinjuku Tokyo Japan

Utilising novel, low-loss couplers (-0.58 dB), we characterise a potential $\text{TE}_{0}$ pair-photon source via stimulated four-wave mixing in a phase-matched, air-clad 220 nm silicon waveguide. This is the lowest...

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Spectral lens enables a minimalist framework for hyperspectral imaging

arXiv

引用

arXiv 2023年

作者： Zhou, Zhou Zhang, Yiheng Xie, Yingxin Huang, Tian Li, Zile Chen, Peng Lu, Yanqing Yu, Shaohua Zhang, Shuang Zheng, Guoxing Electronic Information School School of Microelectronics Wuhan University Wuhan430072 China National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and Manipulation College of Engineering and Applied Sciences Nanjing University Nanjing210093 China Peng Cheng Laboratory Shenzhen518055 China Wuhan Institute of Quantum Technology Wuhan430206 China NUS Graduate School National University of Singapore Singapore119077 Singapore New Cornerstone Science Laboratory Department of Physics University of Hong Kong Hong Kong Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong

Conventional lens-based imaging techniques have long been limited to capturing only the intensity distribution of objects, resulting in the loss of other crucial dimensions such as spectral data. Here, we report a spectral lens that captures both spatial and spectral information, and further demonstrate a minimalist framework wherein hyperspectral imaging can be readily achieved by replacing lenses in standard cameras with our spectral lens. As a paradigm, we capitalize on planar liquid crystal optics to implement the proposed framework. Our experiments with various targets show that the resulting hyperspectral camera exhibits excellent performance in both spectral and spatial domains. With merits such as ultra-compactness and strong compatibility, our framework paves a practical pathway for advancing hyperspectral imaging apparatus toward miniaturization, with great potential for portable applications. Copyright © 2023, The Authors. All rights reserved.

关键词： Hyperspectral imaging

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TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network

arXiv

引用

arXiv 2022年

作者： Wang, Muhan Zhang, Zhe Wang, Yue Gao, Silin Qiu, Xiaolan Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing100190 China Key Laboratory of Intelligent Aerospace Big Data Application Technology Suzhou215123 China Suzhou Aerospace Information Research Institute Suzhou215123 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China Electrical and Computer Engineering Department George Mason University FairfaxVA22030 United States

Synthetic aperture radar (SAR) tomography (TomoSAR) has attracted remarkable interest for its ability in achieving three-dimensional reconstruction along the elevation direction from multiple observations. In recent years, compressed sensing (CS) technique has been introduced into TomoSAR considering for its super-resolution ability with limited samples. Whereas, the CS-based methods suffer from several drawbacks, including weak noise resistance, high computational complexity and complex parameter fine-tuning. Among the different CS algorithms, iterative soft-thresholding algorithm (ISTA) is widely used as a robust reconstruction approach, however, the parameters in the ISTA algorithm are manually chosen, which usually requires a time-consuming fine-tuning process to achieve the best performance. Aiming at efficient TomoSAR imaging, a novel sparse unfolding network named analytic learned ISTA (ALISTA) is proposed towards the TomoSAR imaging problem in this paper, and the key parameters of ISTA are learned from training data via deep learning to avoid complex parameter fine-tuning and significantly relieves the training burden. In addition, experiments verify that it is feasible to use traditional CS algorithms as training labels, which provides a tangible supervised training method to achieve better 3D reconstruction performance even in the absence of labeled data in real applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Compressed sensing

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Target-enclosing affine formation control of two-layer networked spacecraft with collision avoidance

引用

Chinese Journal of Aeronautics 2019年第12期32卷 2679-2693页

作者： Yang XU Delin LUO Dongyu LI Yancheng YOU Haibin DUAN School of Aerospace Engineering Xiamen UniversityXiamen 361005China Department of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001China State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083China Department of Electrical&Computer Engineering National University of SingaporeSingapore 117583Singapore

This paper addresses a target-enclosing problem for multiple spacecraft systems by proposing a two-layer affine formation control strategy. Compared with the existing methods,the adopted two-layer network structure in this paper is generally directed, which is suitable for practical space missions. Firstly, distributed finite-time sliding-mode estimators and formation controllers in both layers are designed separately to improve the flexibility of the formation control system. By introducing the properties of affine transformation into formation control protocol design,the controllers can be used to track different time-varying target formation patterns. Besides, multilayer time-varying encirclements can be achieved with particular shapes to surround the moving target. In the sequel, by integrating adaptive neural networks and specialized artificial potential functions into backstepping controllers, the problems of uncertain Euler-Lagrange models, collision avoidance as well as formation reconfiguration are solved simultaneously. The stability of the proposed controllers is verified by the Lyapunov direct method. Finally, two simulation examples of triangle formation and more complex hexagon formation are presented to illustrate the feasibility of the theoretical results.

关键词： Affine formation control Collision avoidance Lyapunov stability Target enclosing Two-layer strategy

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Fast projection onto convex smooth constraints

arXiv

引用

arXiv 2021年

作者： Usmanova, Ilnura Kamgarpour, Maryam Krause, Andreas Levy, Kfir Yehuda Automatic Control Laboratory D-ITET ETH Zürich Switzerland Department of Electrical and Computer Engineering University of British Columbia Canada Department of Computer Science ETH Zürich Switzerland Viterby Department of Electrical & Computer Engineering Technion - Israel Institute of Technology

The Euclidean projection onto a convex set is an important problem that arises in numerous constrained optimization tasks. Unfortunately, in many cases, computing projections is computationally demanding. In this work, we focus on projection problems where the constraints are smooth and the number of constraints is significantly smaller than the dimension. The runtime of existing approaches to solving such problems is either cubic in the dimension or polynomial in the inverse of the target accuracy. Conversely, we propose a simple and efficient primal-dual approach, with a runtime that scales only linearly with the dimension, and only logarithmically in the inverse of the target accuracy. We empirically demonstrate its performance, and compare it with standard baselines. © 2021, CC BY.

关键词： Constrained optimization

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Energy-Efficient Multi-UAV-Enabled MEC Systems over Space-Air-Ground Integrated Networks

arXiv

引用

arXiv 2024年

作者： Liu, Wenchao Zhang, Xuhui Ren, Jinke Shen, Yanyan Wang, Shuqiang Yang, Bo Guan, Xinping Cui, Shuguang Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong518055 China Southern University of Science and Technology Guangdong518055 China Shenzhen Future Network of Intelligence Institute China School of Science and Engineering Guangdong Provincial Key Laboratory of Future Networks of Intelligence China The Chinese University of Hong Kong Guangdong Shenzhen518172 China Shenzhen University of Advanced Technology Guangdong518055 China Department of Automation the Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai200240 China School of Science and Engineering The Shenzhen Future Network of Intelligence Institute China Guangdong Provincial Key Laboratory of Future Networks of Intelligence The Chinese University of Hong Kong Guangdong Shenzhen518172 China

With the development of artificial intelligence integrated next-generation communication networks, mobile users (MUs) are increasingly demanding the efficient processing of computation-intensive and latency-sensitive tasks. However, existing mobile computing networks struggle to support the rapidly growing computational needs of the MUs. Fortunately, space-air-ground integrated network (SAGIN) supported mobile edge computing (MEC) is regarded as an effective solution, offering the MUs multi-tier and efficient computing services. In this paper, we consider an SAGIN supported MEC system, where a low Earth orbit satellite and multiple unmanned aerial vehicles (UAVs) are dispatched to provide computing services for MUs. An energy efficiency maximization problem is formulated, with the joint optimization of the MU-UAV association, the UAV trajectory, the task offloading decision, the computing frequency, and the transmission power control. Since the problem is non-convex, we decompose it into four subproblems, and propose an alternating optimization based algorithm to solve it. Simulation results confirm that the proposed algorithm outperforms the benchmarks. Copyright © 2024, The Authors. All rights reserved.

关键词： Drones

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