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IEEE International Conference on Cloud computing and Big Data Analysis (ICCCBDA)

作者： Hui Wang Yi Wang Xingjun Lu Yanjun Hu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728160245

ISBN: (纸本)9781728160252

Mobile edge computing (MEC) reduces latency and power consumption of mobile devices by deploying servers on the network edge. Due to the limited computing resources of the MEC server, excessive offloading of the users in local cells will bring unexpected queuing delay and high energy consumption. To deal with these problems, this paper proposes a Multi-user Queue Offloading multi-dimensional game algorithm (MQO). By the algorithm, users could choose the most suitable strategy, in which the strategy space is two-dimensional to satisfy different needs of different users to a certain extent, including the offload strategy and power control of users. Simulation results show that MQO can improve the performance of both overhead and offloading number with the increase of users.

关键词： Energy consumption Servers Games Task analysis Delay effects Mobile handsets Game theory

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A Low-Complexity and High-Efficient Pilot Allocation Scheme Based on User Grouping in Massive MIMO System 19

A Low-Complexity and High-Efficient Pilot Allocation Scheme ...

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19th IEEE International Conference on Communication Technology, ICCT 2019

作者： Zhao, Xinying Yao, Yijing Xu, Lei Fang, Hongyu Zhang, Hongwei Li, Xiaohui Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Hefei China

ISBN: (纸本)9781728105352

Pilot allocation is one of the effective means to reduce pilot pollution in massive Multiple-Input Multiple-Output (MIMO) systems. The goal of this paper is to improve the uplink achievable sum rates of strong users, and ensure the quality of service (QoS) requirements of weak users at the same time, so that the sum rates of system can be improved. Combining with the technical advantage of pilot grouping, a low complexity pilot allocation scheme based on matching algorithm is proposed, which divides the users in the target cell into weak user group and strong user group, and adopts the minimum-maximum matching method to allocate pilots in weak user group. Through the introduction of Hungarian algorithm, a pilot allocation method is designed to ensure the fairness of the strong users. The simulation results show that, compared with the smart pilot allocation scheme, the pilot allocation scheme based on Hungarian algorithm, the pilot allocation scheme based on user grouping and the random pilot allocation scheme, the system performance of the proposed scheme has been effectively improved. © 2019 IEEE.

关键词： Quality of service

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3D LOD-FDTD for the Multi-Pole Debye Dispersive Media Using Z-Transform

3D LOD-FDTD for the Multi-Pole Debye Dispersive Media Using ...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Guilin Hou Ziheng Song Guoda Xie Pan Pan Zhixiang Huang School of Electronic and Information Engineering Anhui university Hefei China Education of Anhui Province. Anhui Province Key Laboratory of Target Recognition and Feature Extraction (Luan Anhui 237000 China) Ministry of Education. the Key Laboratory of Intelligent Computing and Signal Processing Hefei China Anhui Province Anhui University. Key Laboratory of Electromagnetic Environmental Sensing (Hefei 230601 China) Anhui university Hefei China

This paper introduces the application of unconditionally stable locally one-dimensional finite-difference time-domain(LOD-FDTD) method to 3D multi-pole Debye dispersive media model. Compared with other methods for dispersive media, the Z-transform method does not need to retain the electromagnetic values of the previous moments, has less memory footprint, and its numerical implementation is more straightforward. Through numerical examples, ZT-LOD-FDTD shows the advantages of accuracy and high computational efficiency.

关键词： Solid modeling Three-dimensional displays Memory management Media Electromagnetic modeling Numerical models Time-domain analysis

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A Millimeter-Wave Wideband Integrated Log-Periodic Antenna Array

A Millimeter-Wave Wideband Integrated Log-Periodic Antenna A...

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Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)

作者： Daosheng Huang Guanghui Xu Jie Wu Hui Xu Li-Xia Yang Zhi-Xiang Huang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728181813

ISBN: (纸本)9781728181820

The millimeter-Wave (mm-Wave) wideband integrated log-periodic antenna array based on multilayer PCB is proposed in this paper. The antenna array is simulated and designed to operate at the mm-Wave band of 32-47 GHz with the impedance bandwidth of 37.5%. Differential feeding is adopted to reduce the cross polarization, and EBG structure is used to improve the back lobe. The simulated maximum gain of the array is 11 dBi and the cross-polarization ratio is less than -40 dB. Due to its wide bandwidth, high gain and low cross polarization, the proposed array will be a suitable scheme for many mm-Wave applications.

关键词： Millimeter wave technology Nonhomogeneous media Broadband antennas Gain Wideband Antenna arrays Periodic structures

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On the Schrödingerization method for linear non-unitary dynamics with optimal dependence on matrix queries

arXiv

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arXiv 2025年

作者： Jin, Shi Liu, Nana Ma, Chuwen Yu, Yue School of Mathematical Sciences Institute of Natural Sciences MOE-LSC Shanghai Jiao Tong University Shanghai200240 China University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai200240 China Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education National Center for Applied Mathematics in Hunan School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China

The Schrödingerization method converts linear partial and ordinary differential equations with non-unitary dynamics into systems of Schrödinger-type equations with unitary evolution. It does so via the so-called warped phase transformation that maps the original equation into a Schrödinger-type equation in one higher dimension [1,2]. We show that by employing a smooth initialization of the warped phase transform [3], Schrödingerization can in fact achieve optimal scaling in matrix queries. This paper presents the detailed implementation of three smooth initializations for the Schrödingerization method: (a) the cut-off function, (b) the higher-order polynomial interpolation, and (c) the Fourier transform methods, that achieve optimality for (a) and near-optimality for (b) and (c). A detailed analysis of key parameters affecting time complexity is conducted. Copyright © 2025, The Authors. All rights reserved.

关键词： Ordinary differential equations

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Schrödingerization based quantum algorithms for the fractional Poisson equation

arXiv

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arXiv 2025年

作者： Jin, Shi Liu, Nana Yu, Yue School of Mathematical Sciences Institute of Natural Sciences MOE-LSC Shanghai Jiao Tong University Shanghai200240 China University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai200240 China School of Mathematics and Computational Science Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education National Center for Applied Mathematics in Hunan Xiangtan University Hunan Xiangtan411105 China

We develop a quantum algorithm for solving high-dimensional fractional Poisson equations. By applying the Caffarelli-Silvestre extension, the d-dimensional fractional equation is reformulated as a local partial differential equation in d + 1 dimensions. We propose a quantum algorithm for the finite element discretization of this local problem, by capturing the steady-state of the corresponding differential equations using the Schrödingerization approach from [29, 39, 40]. The Schrödingerization technique transforms general linear partial and ordinary differential equations into Schrödinger-type systems, making them suitable for quantum simulation. This is achieved through the warped phase transformation, which maps the equation into a higher-dimensional space. We provide detailed implementations of the method and conduct a comprehensive complexity analysis, which can show up to exponential advantage – with respect to the inverse of the mesh size in high dimensions – compared to its classical counterpart. Specifically, while the classical method requires Oe(d1/233d/2h−d−2) operations, the quantum counterpart requires Oe(d33d/2h−2.5) queries to the block-encoding input models, with the quantum complexity being independent of the dimension d in terms of the inverse mesh size h−1. Numerical experiments are conducted to verify the validity of our formulation. © 2025, CC BY-NC-ND.

关键词： Poisson equation

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Analysis of Asymptotically Tight Approximation ser for Cooperative NOMA Systems 19

Analysis of Asymptotically Tight Approximation ser for Coope...

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19th IEEE International Conference on Communication Technology, ICCT 2019

作者： Zhu, DIngcheng Yao, Yijing Xu, Lei Zhang, Hongwei Fang, Hongyu Li, Xiaohui Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Hefei China

ISBN: (纸本)9781728105352

The closed-form formula derivation of the power domain cooperative Non-Orthogonal Multiple Access (NOMA) system is of great significance for further improving the performance of the system. However, the system performance formulas of the channel capacity and the paired bit error rate Pairwise Error Probability (PEP) are too complicated, which have increased the difficulty in system performance optimization. Therefore, based on the Amplify Forward (AF) relay cooperative NOMA model, the signal Interference Noise Ratio (SINR) formulas of the two weak-user nodes are constructed. Through the assumption of that, the Symbol Error Rate (SER) of each user is fair, the simplification condition of Moment Generating Function (MGF) with the harmonic mean form is satisfied. Combined with the SER calculation formula of MGF, the system SER asymptotically tight approximation formula with simple structure is derived at high signal-to-noise ratio (SNR). The Monte Carlo simulation results show that, the formula can accurately describe the SER performance of the power domain cooperative NOMA system with the non-ideal Successive Interference Cancellation (SIC) system when SNR is high. Under the condition of certain total power, the optimal power distribution factor is solved in order to minimize the total system SER. © 2019 IEEE.

关键词： Bit error rate

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A Novel FDTD Algorithm Based on the Vector and Scalar Potentials Equations 5

A Novel FDTD Algorithm Based on the Vector and Scalar Potent...

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5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019

作者： Liu, Zhipeng Xie, Guoda Wu, Bo Ren, Xingang Fang, Ming Huang, Zhixiang Key Laboratory of Intelligent Computing Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781538671115

As the advance in nanotechnology, the length of electronic devices down to nano-scale structure. It is important to consider multi-scale phenomena ruled by the Maxwell's equation in the finite-difference time-domain (FDTD) simulation. This paper provides an alternate approach for solving the vector and scalar potentials (A and Φ) formulation of Maxwell's equations instead of the fields (E and H) which might suffer from low frequency breakdown problem. This new approach is more suitable for multi-scale problem since it is stable in the long wavelength regime which established the proposed method as a better algorithm in the electromagnetic simulation. © 2019 IEEE.

关键词： Maxwell equations

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ANAS: Sentence Similarity Calculation Based on Automatic Neural Architecture Search 4th

ANAS: Sentence Similarity Calculation Based on Automatic Neu...

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4th IFIP TC 12 International Conference on Intelligence Science, ICIS 2020

作者： Wang, Dong-Sheng Zhao, Cui-Ping Wang, Qi Ofori, Kwame Dwomoh Han, Bin Liu, Ga-Qiong Wang, Shi Wang, Hua-Yu Zhang, Jing School of Computer Science Jiangsu University of Science of Technology Zhenjiang Jiangsu212001 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China School of Army Engineering University Nanjing Jiangsu210007 China

ISBN: (纸本)9783030748258

Sentence similarity calculation is one of several research topics in natural language processing. It has been widely used in information retrieval, intelligent question answering and other fields. Traditional machine learning methods generally extract sentence features through manually defined feature templates and then perform similarity calculations. This type of method usually requires more human intervention and constantly has to deal with domain migration problems. Automatically extracting sentence features using certain deep learning algorithms helps to solve domain migration problems. The training data is of the domain is required to complete the extraction process. However, the neural network structure design in the deep learning model usually requires experienced experts to carry out multiple rounds of the tuning design phase. Using an automatic neural architecture search (ANAS) technology deals with all the network structure design problems. This paper proposes a sentence similarity calculation method based on neural architecture search. This method uses a combination of grid search and random search. The method in this paper is tested on the Quora "Question-Pairs" data set and has an accuracy of 81.8%. The experimental results show that the method proposed in this paper can efficiently and automatically learn the network structure of the deep learning model to achieve high accuracy. © 2021, IFIP International Federation for Information processing.

关键词： Learning algorithms

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A Verlet Time-stepping Nodal DGTD Method for Electromagnetic Scattering and Radiation 5

A Verlet Time-stepping Nodal DGTD Method for Electromagnetic...

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5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019

作者： Wang, Yulong Zhao, Ran Huang, Zhixiang Wu, Xianliang Key Laboratory of Intelligent Computing Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781538671115

In this paper, a discontinuous Galerkin time domain (DGTD) method is proposed to solve electromagnetic radiation and scattering problems. In this method, for the electromagnetic radiation problem, the dipole source excitation is introduced by the Total field / Scattering field (TF/SF) boundary condition. On the basis of TF/SF boundary condition, an equivalent principle (EP) based boundary condition is also introduced. For the electromagnetic scattering problem, the plane wave excitation is introduced by pure scattered field method. For all the cases, uniaxial perfectly matched layer (UPML) is used as the truncated boundary condition to enhance the reflection wave absorption. At the same time, the method uses nodal local basis function (for spatial discretization) and Verlet method (for time integration) to solve Maxwell equation. Numerical results show the effectiveness and accuracy of the algorithm. © 2019 IEEE.

关键词： Boundary conditions

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