Article
Engineering, Multidisciplinary
Faranak Gholampour, Esmail Hesameddini, Ameneh Taleei
Summary: This work presents a numerical solution for two-dimensional elasticity problems involving multiple material phases. The proposed method, based on radial basis functions, has been proven to be effective in solving partial differential equations on irregular domains. By utilizing polynomial augmented polyharmonic spline radial basis functions, the method provides highly accurate results while bypassing stability issues and stagnation errors.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2022)
Article
Engineering, Civil
Hao Wang, Weibo Li, Zhihao Qian, Guoyan Wang
Summary: The study mainly investigated the application of the radial basis function method in reconstructing the wind pressure field of cooling towers, validating the rationality and practical value of the method through experiments.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Faranak Gholampour, Esmail Hesameddini, Ameneh Taleei
Summary: This paper introduces an efficient global meshless method for solving elliptic problems with arbitrary interface, using RBF-QR collocation technique. The method is applied to two-dimensional elliptic interface problems, including Poisson, Helmholtz, and elasticity problems, and is shown to be effective and stable for complex interface geometries and discontinuous variable coefficients, even for small values of epsilon.
ENGINEERING WITH COMPUTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Jonah A. Reeger
Summary: This article describes a method for evaluating definite integrals over bounded volumes with smooth boundaries in three dimensions using a Radial Basis Function Generated Finite-Differences (RBF-FD) inspired technique. This approach allows the user to approximate the integral value without knowing the expression for the boundary surface. The method utilizes a tesselation of the node set to determine the domain geometry and can handle node sets with spatially varying density. The algorithm computes quadrature weights for N arbitrarily scattered nodes with tunable orders of accuracy in only O(N log N) operations.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Computer Science, Artificial Intelligence
Houda Harkat, Jose M. P. Nascimento, Alexandre Bernardino, Hasmath Farhana Thariq Ahmed
Summary: This article introduces a method for classifying fire and non-fire pixels using machine learning techniques. Feature selection is used to choose the most important features, and Support Vector Machine is used as the classifier. Experimental results show that the method achieves high accuracy and performance in fire detection.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
Faranak Gholampour, Esmail Hesameddini, Ameneh Taleei
Summary: This paper proposes a collocation based radial basis function partition of unity method (RBF-PUM) for solving two-dimensional elliptic interface problems, which offers stable computations for all values of the RBF shape parameter and provides higher accuracy. The domain decomposition technique is used to obtain the appropriate solution near the interface, with proper jump conditions imposed across the interface.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Multidisciplinary Sciences
Ying-Ting Chen, Cheng Li, Lin-Quan Yao, Yang Cao
Summary: This paper proposes a new hybrid radial basis function collocation method (HRBF-CM) for solving two-dimensional elastostatic symmetric problems. The method combines infinitely smooth RBF and piecewise smooth RBF, with two parameters (the shape parameter and the weight parameter). Discretization schemes are presented in detail. Numerical results using MATLAB show that the proposed method has higher accuracy compared to traditional methods, especially with a larger number of nodes. The effectiveness of the new method compared to widely used traditional RBF is discussed, as well as the effect of parameters on the method's performance.
Article
Mathematics
Malik Zaka Ullah, Abdullah Khamis Alzahrani, Hashim Mohammed Alshehri, Stanford Shateyi
Summary: In this work, a numerical scheme is presented to solve the time-fractional Black-Scholes PDE under the generalized multiquadric radial basis function. The scheme uses spatial uniform meshes and stencils with five adjacent discretization nodes and estimates the time-fractional derivative using an L1-scheme. The results of numerical tests demonstrate the efficacy of the presented solver.
Article
Computer Science, Information Systems
Lifei Sun, Sen Li, Hailong Liu, Changkai Sun, Liping Qi, Zhixun Su, Changsen Sun
Summary: In this study, a simple, fast, and effective training method for radial basis function (RBF) neural network called the REN method is proposed. The REN method calculates RBF centers and widths through a two-level iterative process, allowing the addition of multiple centers and specific width calculation for each center. Compared to the classic OLS algorithm, the REN algorithm trains RBF networks 50-320 times faster and reduces the number of centers by half. The REN algorithm achieves significantly higher accuracy than the OLS algorithm, especially in classification tasks.
Article
Computer Science, Interdisciplinary Applications
Guangdong Liu, Richard Marchand
Summary: This paper presents an efficient technique using multivariate radial basis function regression to infer space plasma density and satellite potentials. The method outperforms traditional analytic approaches and proves to be particularly efficient when working with large training sets. The approach follows machine learning techniques and is evaluated using synthetic data sets.
COMPUTER PHYSICS COMMUNICATIONS
(2022)
Article
Engineering, Multidisciplinary
Kyle W. Beggs, Eduardo Divo, Alain J. Kassab
Summary: In this paper, a localized Radial-Basis Function collocation Meshless flow solver is developed and tightly coupled to a 0D Lumped-Parameter Model for accurate hemodynamic simulations. This approach is well-suited for modeling complex non-Newtonian hemodynamics and allows for fast computations.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Mathematics, Applied
Jie Hou, Ying Li, Shihui Ying
Summary: In this paper, a novel iterative optimization method is proposed to determine the best parameter c for the Radial basis function finite difference (RBF-FD) method based on the Double Operator Error (DOE). This method is a general iterative optimization approach that can rapidly determine the optimal c for a given problem and significantly reduce the numerical error for any type of radial basis functions (RBFs). Three numerical examples demonstrate the effectiveness and generality of the proposed method compared to previous methods. The relevant data and code can be found at https://github.com/hsbhc/IQM-RBF-FD.& COPY; 2023 Published by Elsevier Ltd.
APPLIED MATHEMATICS LETTERS
(2023)
Article
Energy & Fuels
Kai Zhang, Xinggang Zhao, Guodong Chen, Mengjie Zhao, Jian Wang, Chuanjin Yao, Hai Sun, Jun Yao, Wei Wang, Guodong Zhang
Summary: In this paper, a novel doublemodel differential evolution (CSDE) algorithm is proposed for waterflooding production optimization with nonlinear inequality constraints, which integrates support vector machine (SVM) and radial basis function (RBF) into evolutionary algorithm. Experimental results demonstrate that the CSDE algorithm can handle constraints more efficiently and achieve higher net present values compared with original evolutionary algorithms and other single-model algorithms.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Victor Bayona, Mario Sanchez-Sanz, Eduardo Fernandez-Tarrazo, Manuel Kindelan
Summary: This research focuses on developing a high-order meshfree method to model combustion inside complex geometries using radial basis functions-generated finite differences, aiming to identify different combustion regimes and improve conversion efficiency.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Mathematics, Applied
Davoud Mirzaei
Summary: This paper proposes a new localized radial basis function method based on partition of unity for solving boundary and initial-boundary value problems. The new method, called the direct RBF partition of unity (D-RBF-PU) method, is faster and simpler than the standard RBF-PU method by avoiding derivatives of PU weight functions and lower derivatives of local approximants. Additionally, the method is more efficient and less expensive with the use of discontinuous PU weight functions, and numerical experiments on irregular domains support the efficiency of the new method.
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Qingchao Li, Mohammed El-Hajjar, Ibrahim Hemadeh, Deepa Jagyasi, Arman Shojaeifard, Lajos Hanzo
Summary: The linear minimal mean square error estimator is proposed for active reconfigurable intelligent surface (RIS)-aided wireless systems. The Gamma distribution is employed to approximate the distribution of the instantaneous received signal-to-interference-plus-noise ratio, and the closed-form outage probability and ergodic channel capacity are derived considering realistic channel estimation errors, the thermal noise of RIS amplifiers, and the RIS phase shift noise. The analysis and simulation results demonstrate that the introduction of RIS amplifiers is equivalent to increasing the transmit power, and also show the performance degradation caused by channel estimation errors and RIS phase noise.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Meng Liu, Minglei Yang, Zhaoming Zhang, Huifang Li, Fan Liu, Arumugam Nallanathan, Lajos Hanzo
Summary: The design options of sensing-communication coexistence (SCC) vs. integrated sensing and communications (ISAC) relying on non-orthogonal downlink transmission (NO-DLT) and transmit antenna selection are investigated. Both realistic residual hardware impairments (RHI) and imperfect successive interference cancellation are considered. The performance of the SCC and ISAC NO-DLT frameworks is characterized and numerical results confirm the superiority of the ISAC NO-DLT framework and the impact of realistic RHI on the performance of both frameworks.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Meesam Jafri, Suraj Srivastava, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo
Summary: This paper studies hybrid precoders and combiners for cooperative cell-free multi-user millimeter wave (mmWave) multiple-input multiple-output (MIMO) cellular networks to mitigate interference and simplify the system. It derives optimal hybrid transmit beamformer for a broadcast scenario and proposes an optimal successive hybrid beamformer technique for unicast and multicast scenarios. Bayesian learning (BL) based method is used to jointly design the RF and baseband precoders/combiners. Extensive simulation results demonstrate the effectiveness of the proposed schemes in canceling interuser/intergroup interference and improving spectral efficiency.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Chao Xu, Luping Xiang, Jiancheng An, Chen Dong, Shinya Sugiura, Robert G. Maunder, Lie-Liang Yang, Lajos Hanzo
Summary: This article proposes a powerful 2-D orthogonal time-frequency space (OTFS) modulation method for reconfigurable intelligent surfaces (RISs) to improve the coverage of space-air-ground integrated networks (SAGINs). The proposed method transforms the time-varying fading encountered in the time-frequency (TF) domain to time-invariant fading in the delay-Doppler (DD) domain, and supports RIS configuration and channel estimation methods that can reduce error floors.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Telecommunications
Fuwang Dong, Wei Wang, Xin Li, Fan Liu, Sheng Chen, Lajos Hanzo
Summary: This paper presents an advanced wireless solution based on the dual-functional radar and communication (DFRC) technique, and designs sophisticated beamforming schemes by considering physical layer security (PLS). It is shown that properly designed radar waveforms can serve as artificial noise for eavesdropping prevention and provide increased design degrees of freedom. A non-convex optimization problem is formulated to strike a balance among conflicting objectives, and a semidefinite relaxation (SDR)-based algorithm is proposed to find globally optimal solutions. A robust beamforming method is also developed to handle imperfect channel state information (CSI). Simulation results confirm the theoretical findings and demonstrate the superiority of the proposed methods.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Wei Liu, Yajie Ding, Chuan Li, Lajos Hanzo
Summary: A novel orthogonal block based detection scheme is proposed to significantly reduce the complexity of OTFS systems without sacrificing performance. By partitioning the received signal into multiple parallel orthogonal blocks, the detection of data symbols within each block is simplified, leading to a substantial reduction in detection complexity.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Jue Chen, Shuai Shao, Tsang-Yi Wang, Jwo-Yuh Wu, Chih-Peng Li, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo
Summary: This paper introduces the novel concept of joint compressive sensing (CS) and low density parity check (LDPC) coding for joint source-channel coding (JSCC) in wireless sensor networks (WSNs) with a massive number of signals. The proposed iterative joint LDPC-CS decoding scheme achieves about 1.5 dB gain at a BLER of 10(-3) compared to a benchmark scheme that employs separate CS and LDPC decoding, although it comes at the cost of doubling the complexity of the decoding scheme.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Weijun Yin, Zhengmin Kong, Yusha Liu, Yuli Yang, Lajos Hanzo
Summary: In this paper, an artificial noise aided channel quality indicator mapped generalized spatial modulation scheme is proposed to enhance the security of legitimate links. The proposed scheme outperforms its CQI-mapped modulation counterpart in terms of secrecy rate and eavesdropper's error rate. Theoretically, the secrecy rate approaches the achievable data rate of the legitimate link, which is equivalent to the GSM capacity.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Telecommunications
Jiancheng An, Chau Yuen, Chongwen Huang, Merouane Debbah, H. Vincent Poor, Lajos Hanzo
Summary: This Letter discusses the performance analysis and holographic beamforming techniques for holographic multiple-input multiple-output (HMIMO) communications. The spatial degrees of freedom (DoF) and ergodic capacity of a point-to-point HMIMO system are analyzed, along with the sum-rate analysis of multi-user HMIMO systems. Recent progress in holographic beamforming techniques for HMIMO scenarios is reviewed, and the spatial DoF and channel capacity are evaluated through numerical simulations.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Hamed Bastami, Hamid Behroozi, Majid Moradikia, Ahmed Abdelhadi, Derrick Wing Kwan Ng, Lajos Hanzo
Summary: This study investigates the effective network secrecy throughput (ENST) of the uplink UAV network under the scenario of massive access, employing rate-splitting multiple access (RSMA) for secure transmission. The transmission rate versus power allocation relationship is formulated as a max-min optimization problem to maximize ENST, considering imperfect channel state information (CSI) of legitimate users and passive eavesdroppers (Eves). The proposed scheme significantly improves ENST compared to existing orthogonal and non-orthogonal benchmarks, as confirmed by simulation results.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
H. Yu, H. D. Tuan, E. Dutkiewicz, H. V. Poor, L. Hanzo
Summary: A new hybrid amalgam of analog and baseband digital beamforming is proposed for mmWave multi-user networks. The base station uses a large-scale antenna array with a limited number of RF chains to mitigate path-loss. Each user has a multi-antenna array. The hybrid beamformer design maximizes the geometric means of users' rates, resulting in fair rate distributions without minimum rate constraints. Computationally efficient algorithms based on closed-form low-complexity expressions are developed for large-scale mmWave arrays. Numerical examples demonstrate their efficiency.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Dongsheng Zheng, Yingyang Chen, Lai Wei, Bingli Jiao, Lajos Hanzo
Summary: This paper proposes a dynamic NOMA-based computation offloading scheme for vehicular platoons, aiming to meet the demands of low-latency pervasive computing. By considering the fluctuating channel quality and optimizing resource allocation, the goal of minimizing the long-term maximum task queue is achieved.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Kunwar Pritiraj Rajput, Suraj Srivastava, Aditya K. Jagannatham, Lajos Hanzo
Summary: This paper investigates the robust linear decentralized tracking of a time-varying sparse parameter in a multiple-input-multiple-output (MIMO) wireless sensor network (WSN) under channel state information (CSI) uncertainty. A novel sparse Bayesian learning-based Kalman filtering (SBL-KF) framework is developed to track the time-varying sparse parameter, and an optimization problem is formulated to minimize the mean-square error (MSE) in each time slot (TS). The proposed technique requires only a single iteration per TS to obtain the transmit precoder (TPC) matrices for all the sensor nodes (SNs) and the receiver combiner (RC) matrix for the fusion center (FC) in an online fashion.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Pingyue Yue, Jianping An, Jiankang Zhang, Jia Ye, Gaofeng Pan, Shuai Wang, Pei Xiao, Lajos Hanzo
Summary: Low Earth Orbit (LEO) satellites are rapidly developing due to increasing user demands, cost reductions, and technological progress. This study aims to bridge the knowledge gap by addressing the security and reliability issues of LEO Satellite Communication Systems (SCSs). The study critically evaluates the characteristics of LEO SCSs, explores their vulnerabilities, and proposes solutions to enhance security and reliability.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
Article
Engineering, Electrical & Electronic
Puspraj Singh Chauhan, Sandeep Kumar, Ankit Jain, Lajos Hanzo
Summary: Unified statistics based on Fox's H-function are proposed for performance analysis of communication systems, with a focus on low computational complexity and diversity techniques for fading mitigation. High-power, low-complexity solutions for outage probability and average symbol error probability are presented, with the entire methodology governed by the origin probability density function. The accuracy of the proposed framework is validated by comparing and verifying the mathematical expressions through computer simulations (Monte-Carlo).
IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY
(2023)
