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Yi Huang - One of the best experts on this subject based on the ideXlab platform.
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An Efficient Method for Complex Antenna Design Based on a Self Adaptive Surrogate Model Assisted Optimization Technique
'Institute of Electrical and Electronics Engineers (IEEE)', 2021Co-Authors: Bo Liu, Yi Huang, Akinsolu, Mobayode O., Song Chaoyun, Hua Qiang, Excell, Peter S, Xu Qian, Imran, Ali MuhammadAbstract:Surrogate models are widely used in Antenna design for optimization efficiency improvement. Currently, the targeted Antennas often have a small number of design variables and specifications, and the surrogate model training time is short. However, modern Antennas become increasingly complex, which needs much more design variables and specifications, making the training time become a new bottleneck, i.e., in some cases, even longer than electromagnetic (EM) simulation time. Therefore, a new method, called training cost reduced surrogate model-assisted hybrid differential evolution for complex Antenna optimization (TR-SADEA), is presented in this article. The key innovations include: 1) a self-adaptive Gaussian process surrogate modeling method with a significantly reduced training time while mostly maintaining the Antenna performance prediction accuracy and 2) a new hybrid surrogate model-assisted Antenna optimization framework that reduces the training time and increases the convergence speed. An indoor Base Station Antenna with 2G to 5G cellular bands (45 design variables and 12 specifications) and a 5G outdoor Base Station Antenna (23 design variables and 18 specifications) are used to demonstrate TR-SADEA. Experimental results show that more than 90% of the training time and about 20% iterations (simulations and surrogate modeling) are reduced compared to a state-of-the-art method while obtaining high Antenna performance
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a triple band dual polarized indoor Base Station Antenna for 2g 3g 4g and sub 6 ghz 5g applications
IEEE Access, 2018Co-Authors: Ahmed Alieldin, Sumin David Joseph, Manoj Stanley, Suzanne J. Boyes, Qiang Hua, Yi Huang, Dajun LeiAbstract:This paper proposes a new design of a triple-band dual-polarized indoor Base Station Antenna for mobile communication systems serving the 2G, 3G, 4G, and the new sub-6 GHz 5G applications. The design consists of two orthogonal dipole Antennas to provide dual polarization. Each dipole consists of three different radiator types—elliptical dipole, bowtie dipole, and cat-ear shaped arms for different bands. The proposed Antenna offers three broad bands with the fractional bandwidths of 31.3% (0.7–0.96 GHz), 55.3% (1.7–3 GHz), and 14% (3.3–3.8 GHz) which can be controlled independently. The design also offers stable radiation patterns within the desired frequency bands, high polarization purity and, a simple feeding structure with a compact size and low profile which make this new design an ideal candidate for indoor mobile Base Stations serving the 2G, 3G, 4G, and the new sub-6GHz 5G applications.
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a dual broadband dual polarized fylfot shaped Antenna for mobile Base Stations using mimo over lapped Antenna subarrays
IEEE Access, 2018Co-Authors: Ahmed Alieldin, Manoj Stanley, Yi Huang, Stephen J Boyes, Sumin Joseph, Bahaa AljubooriAbstract:This paper proposes a novel design of a dual-broadband dual-polarized Antenna for mobile communication Base Stations. The proposed Antenna is Fylfot-shaped and covers 0.7–0.96 and 1.7–2.7 GHz simultaneously (with S11 ≤ −10 dB), which are the two common frequency bands for mobile communication systems. Three resonant frequencies are produced in the proposed design where two of them are independently controlled to achieve the dual-broadband performance. A prototype of the proposed Antenna has been developed and tested. The results demonstrate that the Antenna has high isolation between its ports, high polarization purity, and stable radiation patterns across both the frequency bands. A new linear array is proposed and implemented. Unlike reported dual-band Base Station Antenna arrays, the proposed array uses a novel technique of two MIMO overlapped subarrays with shared radiating Antenna elements. The overlapped subarrays have excellent frequency diversity performance with low envelope correlation coefficients. The array has been found to have the same performance as a standard conventional Base Station Antenna but with 25% less number of Antenna elements, which leads to a smaller size and lower cost. The simple Antenna structure and the novel smart MIMO overlapped Antenna subarrays technique give the design the privilege to be an ideal candidate for a low-cost directive Base Station Antenna.
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An Efficient Method for Complex Antenna Design Based on a Self Adaptive Surrogate Model Assisted Optimization Technique
IEEE Transactions on Antennas and Propagation, 2026Co-Authors: Bo Liu, Qiang Hua, Yi Huang, Mobayode O Akinsolu, Chaoyun Song, Peter Excell, Muhammad Ali ImranAbstract:Surrogate models are widely used in Antenna design for optimization efficiency improvement. Currently, the targeted Antennas often have a small number of design variables and specifications, and the surrogate model training time is short. However, modern Antennas become increasingly complex which need much more design variables and specifications, making the training time become a new bottleneck, i.e., in some cases even longer than electromagnetic (EM) simulation time. Therefore, a new method, called training cost reduced surrogate model-assisted hybrid differential evolution for complex Antenna optimization (TR-SADEA) is presented in this paper. The key innovations include: (1) A self-adaptive Gaussian Process surrogate modeling method with a significantly reduced training time whilst mostly maintaining the Antenna performance prediction accuracy, and (2) A new hybrid surrogate model-assisted Antenna optimization framework which reduces the training time and increases the convergence speed. An indoor Base Station Antenna with 2G to 5G cellular bands (45 design variables, 12 specifications) and a 5G outdoor Base Station Antenna (23 design variables, 18 specifications) are used to demonstrate TR-SADEA. Experimental results show that more than 90% of the training time and about 20% iterations (simulations and surrogate modeling) are reduced compared to a state-of-the-art method while obtaining high Antenna performance.
Abbasi, Qammer H. - One of the best experts on this subject based on the ideXlab platform.
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Compact Base Station Antenna Based on image theory for UWB/5G RTLS embraced smart parking of driverless cars
IEEE, 2019Co-Authors: Sharif Abubakar, Guo Jinhao, Ouyang Jun, Sun Sheng, Arshad Kamran, Imran, Muhammad Ali, Abbasi, Qammer H.Abstract:The Internet of Thing (IoT) and fifth-generation mobile communication networks (5G) are leading towards a paradigm shift by proving seamless connectivity to a large number of devices. The applications of IoT in smart cities have further attracted local authorities to adopt technologies such as driverless cars, smart parking and smart waste management. This paper presents a compact Base Station Antenna design with enhanced directivity/gain for ultra-wideband (UWB)/5G embraced real-time location systems (RTLS) Based smart parking of driverless cars. The proposed Base Station Antenna is Based on image theory to achieve enhanced directivity and narrower beam width without using more array elements to keep smaller dimensions. Moreover, the Base Station Antenna consists of an antipodal dipole printed on the opposite side of Rogers 4350 substrate, and a metal plate carefully designed and placed to produce a mirror image in order to achieve a high value of directivity in a specified direction. The advantage behind the antipodal dipole configuration is to avoid the use of extra balun for impedance matching. The half-power beamwidth of 110° is achieved along with 7 dB gain by placing a reflector plane at the distance of 0.25 λo from the proposed antipodal dipole Antenna. Also, this Antenna provides a bandwidth ranging from 6 to 7.25 GHz, which can be used for UWB or 5G Based RTLS systems. Furthermore, the proposed compact Antenna design will help to improve the localization accuracy of ultra-wideband RTLS systems for smart parking applications of autonomous cars
Qammer H Abbasi - One of the best experts on this subject based on the ideXlab platform.
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compact Base Station Antenna Based on image theory for uwb 5g rtls embraced smart parking of driverless cars
IEEE Access, 2019Co-Authors: Abubakar Sharif, Jinhao Guo, Jun Ouyang, Sheng Sun, Kamran Arshad, Muhammad Imran, Qammer H AbbasiAbstract:The Internet of Thing (IoT) and fifth-generation mobile communication networks (5G) are leading towards a paradigm shift by proving seamless connectivity to a large number of devices. The applications of IoT in smart cities have further attracted local authorities to adopt technologies such as driverless cars, smart parking and smart waste management. This paper presents a compact Base Station Antenna design with enhanced directivity/gain for ultra-wideband (UWB)/5G embraced real-time location systems (RTLS) Based smart parking of driverless cars. The proposed Base Station Antenna is Based on image theory to achieve enhanced directivity and narrower beam width without using more array elements to keep smaller dimensions. Moreover, the Base Station Antenna consists of an antipodal dipole printed on the opposite side of Rogers 4350 substrate, and a metal plate carefully designed and placed to produce a mirror image in order to achieve a high value of directivity in a specified direction. The advantage behind the antipodal dipole configuration is to avoid the use of extra balun for impedance matching. The half-power beamwidth of 110° is achieved along with 7 dB gain by placing a reflector plane at the distance of $0.25~\lambda \text{o}$ from the proposed antipodal dipole Antenna. Also, this Antenna provides a bandwidth ranging from 6 to 7.25 GHz, which can be used for UWB or 5G Based RTLS systems. Furthermore, the proposed compact Antenna design will help to improve the localization accuracy of ultra- wideband RTLS systems for smart parking applications of autonomous cars.
M A Stuchly - One of the best experts on this subject based on the ideXlab platform.
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human exposure assessment in the near field of gsm Base Station Antennas using a hybrid finite element method of moments technique
IEEE Transactions on Biomedical Engineering, 2003Co-Authors: F J C Meyer, D B Davidson, U Jakobus, M A StuchlyAbstract:A hybrid finite-element method (FEM)/method of moments (MoM) technique is employed for specific absorption rate (SAR) calculations in a human phantom in the near field of a typical group special mobile (GSM) Base-Station Antenna. The MoM is used to model the metallic surfaces and wires of the Base-Station Antenna, and the FEM is used to model the heterogeneous human phantom. The advantages of each of these frequency domain techniques are, thus, exploited, leading to a highly efficient and robust numerical method for addressing this type of bioelectromagnetic problem. The basic mathematical formulation of the hybrid technique is presented. This is followed by a discussion of important implementation details-in particular, the linear algebra routines for sparse, complex FEM matrices combined with dense MoM matrices. The implementation is validated by comparing results to MoM (surface equivalence principle implementation) and finite-difference time-domain (FDTD) solutions of human exposure problems. A comparison of the computational efficiency of the different techniques is presented. The FEM/MoM implementation is then used for whole-body and critical-organ SAR calculations in a phantom at different positions in the near field of a Base-Station Antenna. This problem cannot, in general, be solved using the MoM or FDTD due to computational limitations. This paper shows that the specific hybrid FEM/MoM implementation is an efficient numerical tool for accurate assessment of human exposure in the near field of Base-Station Antennas.
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human exposure assessment in the near field of gsm Base Station Antennas using a hybrid finite element method of moments technique
IEEE Transactions on Biomedical Engineering, 2003Co-Authors: F J C Meyer, D B Davidson, U Jakobus, M A StuchlyAbstract:A hybrid finite-element method (FEM)/method of moments (MoM) technique is employed for specific absorption rate (SAR) calculations in a human phantom in the near field of a typical group special mobile (GSM) Base-Station Antenna. The MoM is used to model the metallic surfaces and wires of the Base-Station Antenna, and the FEM is used to model the heterogeneous human phantom. The advantages of each of these frequency domain techniques are, thus, exploited, leading to a highly efficient and robust numerical method for addressing this type of bioelectromagnetic problem. The basic mathematical formulation of the hybrid technique is presented. This is followed by a discussion of important implementation details-in particular, the linear algebra routines for sparse, complex FEM matrices combined with dense MoM matrices. The implementation is validated by comparing results to MoM (surface equivalence principle implementation) and finite-difference time-domain (FDTD) solutions of human exposure problems. A comparison of the computational efficiency of the different techniques is presented. The FEM/MoM implementation is then used for whole-body and critical-organ SAR calculations in a phantom at different positions in the near field of a Base-Station Antenna. This problem cannot, in general, be solved using the MoM or FDTD due to computational limitations. This paper shows that the specific hybrid FEM/MoM implementation is an efficient numerical tool for accurate assessment of human exposure in the near field of Base-Station Antennas.
Andres Alayon Glazunov - One of the best experts on this subject based on the ideXlab platform.
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design of a planar eleven Antenna for optimal mimo performance as a wideband micro Base Station Antenna
arXiv: Signal Processing, 2018Co-Authors: Aidin Razavi, Jian Yang, Wenjie Yu, Andres Alayon GlazunovAbstract:A new low-profile planar Eleven Antenna is designed for optimal MIMO performance as a wideband MIMO Antenna for micro Base-Stations in future wireless communication systems. The design objective has been to optimize both the reflection coefficient at the input port of the Antenna and the 1-bitstream and 2-bitstream MIMO efficiency of the Antenna at the same time, in both the Rich Isotropic MultiPath (RIMP) and Random Line-of-Sight (Random-LOS) environments. The planar Eleven Antenna can be operated in 2-, 4-, and 8-port modes with slight modifications. The optimization is performed using genetic algorithms. The effects of polarization deficiencies and Antenna total embedded efficiency on the MIMO performance of the Antenna are further studied. A prototype of the Antenna has been fabricated and the design has been verified by measurements against the simulations.
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network model of a 5g mimo Base Station Antenna in a downlink multi user scenario
European Conference on Antennas and Propagation, 2018Co-Authors: Navid Amani, Andres Alayon Glazunov, Rob Maaskant, M V IvashinaAbstract:A system level network model of a 5G Base Station Antenna (BSA) with massive multiple-input multiple-output (MIMO) capabilities is presented that incorporates Antenna mutual interaction and signal processing aspects. The combined transmitter-channel-receiver in such a system is modeled by cascading Z-matrices to interrelate the transmitter and receiver port voltages/ currents to one another. The developed model is then subjected to the zero-forcing (ZF) beamforming algorithm to compute the per-Antenna transmit power for a specific minimum signal level at the receiver as well as the required BSA effective isotropic radiated power (EIRP). The presented initial results show that in a line-of-sight (LOS) environment the required EIRP to achieve a 1 Gbps bitrate user link in a 15-200 m coverage ranges from 25-48 dBm, which increases to 31-54 dBm after incorporating first-order mutual coupling effects among the BSA elements.