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arXiv 2023年

作者： Mao, Weihao Lu, Yang Chi, Chong-Yung Ai, Bo Zhong, Zhangdui Ding, Zhiguo The School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China The Institute of Communications Engineering Department of Electrical Engineering National Tsing Hua University Hsinchu30013 Taiwan The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi United Arab Emirates Department of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom

This paper investigates the system model and the transmit beamforming design for the Cell-Free massive multi-input multi-output (MIMO) integrated sensing and communication (ISAC) system. The impact of the uncertainty of the target locations on the propagation of wireless signals is considered during both uplink and downlink phases, and especially, the main statistics of the MIMO channel estimation error are theoretically derived in the closed-form fashion. A fundamental performance metric, termed communication-sensing (C-S) region, is defined for the considered system via three cases, i.e., the sensing-only case, the communication-only case and the ISAC case. The transmit beamforming design problems for the three cases are respectively carried out through different reformulations, e.g., the Lagrangian dual transform and the quadratic fractional transform, and some combinations of the block coordinate descent method and the successive convex approximation method. Numerical results present a 3-dimensional C-S region with a dynamic number of access points to illustrate the trade-off between communication and radar sensing. The advantage for radar sensing of the Cell-Free massive MIMO system is also studied via a comparison with the traditional cellular system. Finally, the efficacy of the proposed beamforming scheme is validated in comparison with zero-forcing and maximum ratio transmission schemes. Copyright © 2023, The Authors. All rights reserved.

关键词： Beamforming

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1 Lyapunov Stability Analysis for Controlling UAV Trajectory Over 6G Wireless Networks

1 Lyapunov Stability Analysis for Controlling UAV Trajectory...

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MILCOM, Military Communications Conference

作者： Xi Zhang Qixuan Zhu Laboratory Department of Electrical and Computer Engineering Networking and Information Systems Texas A&M University College Station TX USA

With the commercial realization of the fifth generation (5G) wireless networks, the development of the sixth generation (6G) wireless networks has attracted considerable research attention. To meet the requirement of providing ubiquitous coverage, unmanned aerial vehicle (UAV) plays the key role in extending the line-of-sight area, and thus, has been proposed as a promising candidate technique in 6G wireless networks However, how to design an optimal UAV trajectory when it is moving and communicating with a base station or a mobile user in the network and how to guarantee the stability of the UAV's trajectory remain open problems. To address these issues, in this paper we design an optimal UAV trajectory, obtain the expression of the UAV's trajectory error, and propose a stability analysis mechanism to show that the UAV trajectory error is globally and asymptotically stable. First, we design the UAV optimal trajectory to maximize the communication performance while minimizing the energy consumption. Then, we derive a closed-form expression for the UAV trajectory in the transient state, which results in major trajectory errors, including the critical damping, underdamping, and overdamping. Third, we employ the control Lyapunov function to show that our developed UAV trajectory error correction scheme is globally and asymptotically stable under the feedback control law. Finally, we use numerical analyses to validate and evaluate our proposed UAV trajectory error control scheme.

关键词： 6G mobile communication Wireless networks Autonomous aerial vehicles Stability analysis Trajectory Error correction Feedback control

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Pressure Sensor Data Analysis for Motor Function Assessment of Stroke Patients

Pressure Sensor Data Analysis for Motor Function Assessment ...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Helder C. R. Oliveira Haaziq Altaf Mohammed Almekhlafi Svetlana N. Yanushkevich Department of Electrical and Computer Engineering Biometric Technologies Laboratory Cumming School of Medicine and Hotchkiss Brain Institute University of Calgary Canada

ISBN: (纸本)9781665487696

This paper investigates the potential use of pressure data for the detection of abnormalities in motor function of post-stroke patients. Histograms of the pressure values, empirical cumulative curves and the pressure intensity captured over time were considered. The evaluation was performed on three datasets: the PMat dataset, and two other datasets collected for this study. The preliminary results show that it is possible to identify patterns of motor function impairment, which shows a potential venue for future research for monitoring this function in stroke survivors.

关键词： Pressure sensors Histograms Data analysis Stroke (medical condition) Monitoring Computational intelligence

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Highly Sensitive Humidity Sensor Based on Strontium-Doped Lanthanum Ferrite Nanofibers

SSRN

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SSRN 2022年

作者： Zhang, Ziyi Li, Fangxin Zhang, Yuejun Zheng, Yangong Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China

Humidity sensors are the most widely applied sensors. Although some highly sensitive humidity sensors have been explored, devices that can accurately detect low humidity are still required. Improving the chemisorption of water molecules by surface regulation is an effective way to enhance the humidity sensitivity. In this study, a series of lanthanum ferrite samples doped with different concentrations of strontium was prepared by electrospinning. For the sample with surface atomic ratio between strontium and lanthanum was approximately 0.2, there was a 6´10 4 times change in the resistance of the sensor to 90% relative humidity, and the response was 6.76 for 4% relative humidity. Negligible hysteresis, excellent stability, and linear response demonstrate the advantages of the strontium-doped lanthanum ferrite nanofibers. The sensing mechanism was discussed by measuring the change of band gap and work function of samples with different concentrations of strontium doping. Furthermore, suitable doping also decreased the adsorption energy and increased the charge transfer during the adsorption of water molecules on the surface of lanthanum ferrite based on the calculations. This study provides a new perspective for enhancing the sensitivity of humidity sensors via surface regulation. © 2022, The Authors. All rights reserved.

关键词： Electrospinning

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A Wideband Circularly Polarized Leaky Wave Antenna based on ISGW

A Wideband Circularly Polarized Leaky Wave Antenna based on ...

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2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021

作者： Meng, Dechao Shen, Dongya Zhang, Xiupu Yunnan Provincial Engineering Yunnan University Laboratory of Cloud Wireless Access Heterogeneous Networks Kunming650500 China IPhotonics Labs Concordia University Department of Electrical and Computer Engineering MontrealQC Canada

ISBN: (纸本)9781728146706

A novel leaky-wave antenna (LWA) with circular polarization (CP) and broadside radiation based on integrated substrate gap waveguide (ISGW) technology is proposed. A unique periodic structure, i.e. microstrip line with a periodic set of radiating stubs attached and series U-shape slot, is used to scan continuously from backward to forward and thus to form CP. The proposed LWA provides beam scanning from -29 to 12 over the frequency range of 21.5-27.5 GHz. Return loss less than -10 dB, and axial ratio less than 3 dB are achieved in 21 - 27.5 GHz (26.8%), and 21.16 - 26.05 GHz (20.7%), respectively. The average radiation efficiency is 87.8%. © 2021 IEEE.

关键词： Circular polarization

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Microcomb based silicon photonics data link with 100Gbps/Lane PAM4 transmission

Microcomb based silicon photonics data link with 100Gbps/Lan...

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CLEO: Science and Innovations, S and I 2022

作者： Shu, Haowen Shen, Bitao Chang, Lin Tao, Yuansheng Xie, Weiqiang Jin, Ming Netherton, Andrew Zhang, Xuguang Qin, Jun Chen, Ruixuan Yu, Shaohua Wang, Xingjun Bowers, John E. State Key Laboratory of Advanced Optical Communications System and Networks Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Peng Cheng Laboratory Shenzhen518055 China Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China

We achieve 100 Gbps/Lane PAM4 transmission by employing an AlGaAsOI microcomb source and silicon modulators. With 20 parallel wavelength channels utilized at C-band, an aggregate data rate of 2 Tbit/s is achieved. ... 详细信息

ISBN: (纸本)9781557528209

关键词： Gallium compounds

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Reinforcement Learning-Based Optimal Multiple Waypoint Navigation

Reinforcement Learning-Based Optimal Multiple Waypoint Navig...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Christos Vlachos Panagiotis Rousseas Charalampos P. Bechlioulis Kostas J. Kyriakopoulos Department of Electrical and Computer Engineering University of Patras Greece School of Mechanical Engineering Control Systems Laboratory National Technical University of Athens Greece Center of AI & Robotics (CAIR) New York University Abu Dhabi

In this paper, a novel method based on Artificial Potential Field (APF) theory is presented, for optimal motion planning in fully-known, static workspaces, for multiple final goal configurations. Optimization is achieved through a Reinforcement Learning (RL) framework. More specifically, the parameters of the underlying potential field are adjusted through a policy gradient algorithm in order to minimize a cost function. The main novelty of the proposed scheme lies in the method that provides optimal policies for multiple final positions, in contrast to most existing methodologies that consider a single final configuration. An assessment of the optimality of our results is conducted by comparing our novel motion planning scheme against a RRT* method.

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A mixed-precision binary neural network architecture for touch modality classification 16

A mixed-precision binary neural network architecture for tou...

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2021 International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2021 and 16th Conference on PhD Research in microelectronics and Electronics, PRIME 2021

作者： Younes, Hamoud Ibrahim, Ali Rizk, Mostafa Valle, Maurizio COSMIC Laboratory Department of Electrical Electronic and Telecommunications Engineering and Naval Architecture University of Genova Genoa Italy Department of Computer and Communication Engineering Lebanese International University Bekaa Lebanon Department of Physics and Electronics Faculty of Sciences Lebanese University Lebanon

ISBN: (纸本)9783800755899

Binary Neural Networks (BNN) have been proposed to address the computational complexity and memory requirements of Convolutional Neural Networks (CNN). However, in most of the applications, BNNs suffer from severe accuracy loss due to the 1-bit quantization. In this paper, a Mixed-Precision Binary Weight Network (MP-BWN) is proposed as a compromise between CNN and BNN. Compared to traditional binary networks, MP-BWN offers better performance with an acceptable increase in the network size. MP-BWN achieves up to 99% reduction in both the number of operations and the network size compared to similar state-of-the-art solutions. When validated on a touch modality classification problem, the MP-BWN surpassed similar existing solutions by achieving a classification accuracy of 77.8%. © VDE VERLAG GMBH.

关键词： Neural networks

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FEIF: Feature Excitation and Interactive Fusion for 6D Object Pose Estimation

FEIF: Feature Excitation and Interactive Fusion for 6D Objec...

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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

作者： Meng, Qiwei Zhu, Shiqiang Gu, Jianjun Lin, Zheyuan Zhong, Ling Song, Wei Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Laboratory Hangzhou311100 China Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou311100 China Dalhousie University Department of Electrical and Computer Engineering HalifaxNSB3H 4R2 Canada

ISBN: (纸本)9781665481090

In this paper, we present FEIF, a novel framework for 6D object pose estimation from a single RGBD image. Compared with previous approaches, this model fully leverages the complementary RGB and depth information through lay-erwise feature excitation and interactive fusion, thus improving the effectiveness and robustness of extracted features. The representative RGBD features can be subsequently applied for object keypoints prediction and pose computation. In addition, our FEIF includes a self-evaluation module to make robots aware of the confidence of pose estimation, so they are flexible to take the corresponding strategy for following tasks. Experiment results prove the SOTA performance of our model on LineMOD, Occlusion-LineMOD and YCB-Video datasets, and we also demonstrate its applicability and robustness in real-world robotic manipulation. © 2022 IEEE.

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Age-Aware Task Scheduling Scheme in Hybrid GEO-LEO Satellite Networks

Age-Aware Task Scheduling Scheme in Hybrid GEO-LEO Satellite...

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GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Dongqing Li Shaohua Wu Jian Jiao Ning Zhang Qinyu Zhang Department of Electronic Engineering Harbin Institute of Technology Shenzhen China Peng Cheng Laboratory Shenzhen China Department of Electrical and Computer Engineering University of Windsor Windsor ON Canada

ISBN: (纸本)9781665435413

In this paper, we consider a task scheduling problem for the freshness-critical services in the Internet of Remote Things scenario (IoRT). In the IoRT scenario, a gateway collects status updates from the surrounding devices and then makes a scheduling decision, in which the status updates would be offloaded to a specific satellite for on-orbit processing. Our objective is to propose a task scheduling scheme which can minimize the age of information of the system. To this end, we use the promising hybrid geosynchronous earth orbit and low earth orbit (hybrid GEO-LEO) satellite networks and design an age-aware task scheduling scheme to utilize heterogeneous communication and processing resources. The issue of task scheduling is considered as cooperation between gateway association and resource management problem. To cope with this complicated problem, we formulate it as a Markov Decision Process with minimum peak age and decompose it into two sub-problems, which are resource management with fixed gateway association indexes and scheduling decisions for gateway association. The convex optimization algorithm is utilized to obtain optimal resource management results, and the deep reinforcement learning network is used to achieve the optimal gateway association indexes. Extensive simulation results demonstrate that the peak age of the designed strategy has an advantage over other referred strategies.

关键词： Satellites Simulation Reinforcement learning Logic gates Dynamic scheduling Convex functions Resource management

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