Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10073406
Xinrui Gong, Xiaofeng Liu, Xiqi Gao
Fingerprint-based positioning is promising for mobile cellular systems in dense scattering environments. Massive multiple-input multiple-output (MIMO) has significant advantages in providing accurate positioning due to the high angular resolution. This paper investigates the fingerprint-based positioning problem in massive MIMO systems utilizing machine learning. Adopting a improved spatial beam-based channel model, we exploit a novel beam domain channel amplitude matrix as the location-related fingerprint. We transform the positioning problem into a pattern recognition problem through fingerprint information. The base station can independently classify and distinguish the position fingerprints of different mobile user terminals via machine learning. Then, we propose a categorization-based positioning method by using the neural network. The performance of the proposed machine learning based fingerprint positioning method is evaluated with a geometry-based stochastic channel model. Simulation results demonstrate that the proposed positioning method can perform better than conventional approaches.
{"title":"Fingerprint Positioning for Massive MIMO Systems Based on Machine Learning","authors":"Xinrui Gong, Xiaofeng Liu, Xiqi Gao","doi":"10.1109/ICCT56141.2022.10073406","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073406","url":null,"abstract":"Fingerprint-based positioning is promising for mobile cellular systems in dense scattering environments. Massive multiple-input multiple-output (MIMO) has significant advantages in providing accurate positioning due to the high angular resolution. This paper investigates the fingerprint-based positioning problem in massive MIMO systems utilizing machine learning. Adopting a improved spatial beam-based channel model, we exploit a novel beam domain channel amplitude matrix as the location-related fingerprint. We transform the positioning problem into a pattern recognition problem through fingerprint information. The base station can independently classify and distinguish the position fingerprints of different mobile user terminals via machine learning. Then, we propose a categorization-based positioning method by using the neural network. The performance of the proposed machine learning based fingerprint positioning method is evaluated with a geometry-based stochastic channel model. Simulation results demonstrate that the proposed positioning method can perform better than conventional approaches.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125226226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072410
Jiawei Shi, Jian Shu
Link prediction on temporal networks is a hot issue in the research of network evolution. Existing works typically employ graph neural networks and a temporal feature extractor to build prediction model. However, such methods are facing two problems: 1) the over smoothing becomes a challenge when considering capturing deeper spatiotemporal dependence. 2) temporal feature extraction is still a challenge. In this research, we introduce a novel link prediction model named Continuous-graph attentional neural networks for temporal link prediction (LP-CGA). The model is based on an improved Auto-Encoder, which not only embeds structure information of temporal networks but also considers the evolution trend. Then, the deeper spatiotemporal information is mined through an attention-based ordinary differential equation (ODE). Two real dynamic network datasets, ITC and Infocom06, are used for experiments. The experimental results show that the proposed model is more accurate compared to other baseline methods.
{"title":"Continuous-Graph Attentional Neural Networks for Temporal Link Prediction","authors":"Jiawei Shi, Jian Shu","doi":"10.1109/ICCT56141.2022.10072410","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072410","url":null,"abstract":"Link prediction on temporal networks is a hot issue in the research of network evolution. Existing works typically employ graph neural networks and a temporal feature extractor to build prediction model. However, such methods are facing two problems: 1) the over smoothing becomes a challenge when considering capturing deeper spatiotemporal dependence. 2) temporal feature extraction is still a challenge. In this research, we introduce a novel link prediction model named Continuous-graph attentional neural networks for temporal link prediction (LP-CGA). The model is based on an improved Auto-Encoder, which not only embeds structure information of temporal networks but also considers the evolution trend. Then, the deeper spatiotemporal information is mined through an attention-based ordinary differential equation (ODE). Two real dynamic network datasets, ITC and Infocom06, are used for experiments. The experimental results show that the proposed model is more accurate compared to other baseline methods.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072530
Kun-Chang Liu, Xin Xiang, Wanze Zheng, Yishi Sun, Liyan Yin, C. Li
The degeneration of signal time-frequency characteristics has impeded the performance of correlation algorithms. To address this issue, a generative adversarial network (GAN)-based recognition framework is proposed for aeronautical wireless communication systems. It consists of GAN and different dimensional of recognition networks. Firstly, we transform the sampling signals into time-frequency (TF) maps using a short-time Fourier transform (STFT), which shows an apparent signal frequency variation with time. And then, we design an improved GAN, transferring the TF maps affected by the multipath effect into pure maps, to weaken the interference of channels. Next, we put forward the two-dimensional (2D) recognition networks to extract signal time-frequency characteristics, and a deep long short-term memory (LSTM) network was introduced to obtain the time correlation from the TF maps. The experimental results show that the performance of the proposed GAN-based recognition framework is superior to that of conventional algorithms, especially performing in aeronautical multipath wireless channels. When the channel parameters change rapidly, the recognition rate of the proposed algorithm is more than 95.0%.
{"title":"Spectrum Analysis for Modulation Classification in Aeronautical Wireless Communication Systems","authors":"Kun-Chang Liu, Xin Xiang, Wanze Zheng, Yishi Sun, Liyan Yin, C. Li","doi":"10.1109/ICCT56141.2022.10072530","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072530","url":null,"abstract":"The degeneration of signal time-frequency characteristics has impeded the performance of correlation algorithms. To address this issue, a generative adversarial network (GAN)-based recognition framework is proposed for aeronautical wireless communication systems. It consists of GAN and different dimensional of recognition networks. Firstly, we transform the sampling signals into time-frequency (TF) maps using a short-time Fourier transform (STFT), which shows an apparent signal frequency variation with time. And then, we design an improved GAN, transferring the TF maps affected by the multipath effect into pure maps, to weaken the interference of channels. Next, we put forward the two-dimensional (2D) recognition networks to extract signal time-frequency characteristics, and a deep long short-term memory (LSTM) network was introduced to obtain the time correlation from the TF maps. The experimental results show that the performance of the proposed GAN-based recognition framework is superior to that of conventional algorithms, especially performing in aeronautical multipath wireless channels. When the channel parameters change rapidly, the recognition rate of the proposed algorithm is more than 95.0%.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126241339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072739
Juncai Chen, Fan Wu, Ke Zhang, Xiaoyan Huang, S. Leng
A well-known issue in NR-V2X Mode 2 is the packet collision that results from two or more vehicles selecting the same resource block (RB) for transmission through distributed competition in the scenarios without a centralized coordinator. Consequently, it may lead to serious safety problems if the collided RB is used to send safety information by the vehicles. In this paper, we propose an intelligent reflecting surface (IRS)-assisted semi-persistent scheduling (SPS) scheme to resolve the RB conflicts by utilizing the IRS to enhance the signal reflection sent from the vehicle selected to occupy the RB. To this end, we propose a weighted sum-rate maximization model to jointly determine the vehicle selection and the IRS reflection control. In order to achieve a trade-off between the efficiency of RBs and the coordination of contending vehicles, we conceive an evaluation method to assess the transmission rate weights among the contending vehicles, which considering both wireless resource occupation and services urgency. In addition, we develop a joint conflict resolution and IRS reflection control(JCRIRC) algorithm based on DDPG to approximate the optimal solution. Simulation results verify the improvement of RB utilization and take wireless resource occupation and services urgency into account.
{"title":"IRS-Assisted Weighted Sum-Rate Maximization Semi-persistent Scheduling in NR-V2X","authors":"Juncai Chen, Fan Wu, Ke Zhang, Xiaoyan Huang, S. Leng","doi":"10.1109/ICCT56141.2022.10072739","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072739","url":null,"abstract":"A well-known issue in NR-V2X Mode 2 is the packet collision that results from two or more vehicles selecting the same resource block (RB) for transmission through distributed competition in the scenarios without a centralized coordinator. Consequently, it may lead to serious safety problems if the collided RB is used to send safety information by the vehicles. In this paper, we propose an intelligent reflecting surface (IRS)-assisted semi-persistent scheduling (SPS) scheme to resolve the RB conflicts by utilizing the IRS to enhance the signal reflection sent from the vehicle selected to occupy the RB. To this end, we propose a weighted sum-rate maximization model to jointly determine the vehicle selection and the IRS reflection control. In order to achieve a trade-off between the efficiency of RBs and the coordination of contending vehicles, we conceive an evaluation method to assess the transmission rate weights among the contending vehicles, which considering both wireless resource occupation and services urgency. In addition, we develop a joint conflict resolution and IRS reflection control(JCRIRC) algorithm based on DDPG to approximate the optimal solution. Simulation results verify the improvement of RB utilization and take wireless resource occupation and services urgency into account.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129604611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072744
Yuhong Bao, L. Lei, Xiaoqin Song, Lijuan Zhang
Time synchronization is indispensable in Unmanned Aerial Vehicle (UAV) networks. The synchronization between nodes is realized through the exchange of packets. At present, there are few protocols that provide an effective solution to the packet conflict problem in synchronization. In this paper, a contention window optimized time synchronization protocol for efficient conflict avoidance is proposed. Considering the state transition of nodes in different conflicting situations, a three-dimensional Markov chain model is used to analyze the packet transmission contention phase. The relationship between the conflict probability, synchronization time and the value of the contention window size in the network is determined by the model. Simulation results show that the proposed scheme has significant advantages in synchronization efficiency compared with other protocols.
{"title":"On the Optimization of Synchronization Efficiency in Multi-hop Ad-Hoc Networks","authors":"Yuhong Bao, L. Lei, Xiaoqin Song, Lijuan Zhang","doi":"10.1109/ICCT56141.2022.10072744","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072744","url":null,"abstract":"Time synchronization is indispensable in Unmanned Aerial Vehicle (UAV) networks. The synchronization between nodes is realized through the exchange of packets. At present, there are few protocols that provide an effective solution to the packet conflict problem in synchronization. In this paper, a contention window optimized time synchronization protocol for efficient conflict avoidance is proposed. Considering the state transition of nodes in different conflicting situations, a three-dimensional Markov chain model is used to analyze the packet transmission contention phase. The relationship between the conflict probability, synchronization time and the value of the contention window size in the network is determined by the model. Simulation results show that the proposed scheme has significant advantages in synchronization efficiency compared with other protocols.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128682199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Terahertz wireless communication meets the transmission needs of future networks with its ultra-high bandwidth. However, its practical application is seriously restricted by its large path loss and severe blocking effect. The intelligent reflecting surface and device-to-device technologies can be expected to assist terahertz communication to solve the above problems. However, the corresponding research is still at the initial stage. Under the circumstances, this paper summarizes the existing research results and analyzes the potential of application of intelligent reflecting surface and device-to-device technologies in terahertz communication.
{"title":"A Survey on Terahertz Communication Theory Assisted by Intelligent Reflecting Surface and Device-to-Device Technologies","authors":"Wei Xun, Yaxuan Liu, Yiyang Ni, Haitao Zhao, Zhuoran Xu, Xingfeng Ge","doi":"10.1109/ICCT56141.2022.10073033","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073033","url":null,"abstract":"Terahertz wireless communication meets the transmission needs of future networks with its ultra-high bandwidth. However, its practical application is seriously restricted by its large path loss and severe blocking effect. The intelligent reflecting surface and device-to-device technologies can be expected to assist terahertz communication to solve the above problems. However, the corresponding research is still at the initial stage. Under the circumstances, this paper summarizes the existing research results and analyzes the potential of application of intelligent reflecting surface and device-to-device technologies in terahertz communication.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128726174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10073263
Rui-Zhe Xu, Ruifeng Li, Da Li, Erping Li
In this paper, the pin map scenario is modeled as a parallel-plate structure for electromagnetic leakage analysis by approximating the solder balls as cylinders. The boundary field and internal field distribution under multiple radiation coupling sources with different amplitudes and phases are analyzed by the T-matrix method based on virtual PMC cylinders. Simulations show that the calculation results are accurate and much faster than those obtained by the commercial software.
{"title":"Electromagnetic Analysis in PINMAP Assignment Optimization Based on T-matrix Method","authors":"Rui-Zhe Xu, Ruifeng Li, Da Li, Erping Li","doi":"10.1109/ICCT56141.2022.10073263","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073263","url":null,"abstract":"In this paper, the pin map scenario is modeled as a parallel-plate structure for electromagnetic leakage analysis by approximating the solder balls as cylinders. The boundary field and internal field distribution under multiple radiation coupling sources with different amplitudes and phases are analyzed by the T-matrix method based on virtual PMC cylinders. Simulations show that the calculation results are accurate and much faster than those obtained by the commercial software.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123766887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10072483
Himadri Mukherjee, M. Marciano, Ankita Dhar, K. Roy
Technology has found its way into disparate spheres of music, from production to performance. Researchers have attempted to automate multitudinous aspects in this domain. One of the interests has been towards the automated generation of music pieces itself. Bass grooves are an integral part of most music pieces. It makes a piece sound complete and bridges the gap between the percussion and melody sections. Thus, it is essential for machines to understand bass grooves for automated music analysis and production. Automatically distinguishing bass grooves is difficult and it aggravates even more for polyphonic music. In polyphonic music, the bass grooves tend to be at a lower volume and its frequency range has profound overlap with the percussion section which contributes to the complexity of identification. In this paper, a system is presented to distinguish bass grooves in the presence of drums. Experiments were performed with 7 grooves totaling 4473 clips which were modeled using MFCC-based features. The highest accuracy of 97.38% was obtained using multi-layer perceptron (MLP)-based classification.
{"title":"Feeling the Groove: Identification of Bass patterns from polyphonic audio","authors":"Himadri Mukherjee, M. Marciano, Ankita Dhar, K. Roy","doi":"10.1109/ICCT56141.2022.10072483","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072483","url":null,"abstract":"Technology has found its way into disparate spheres of music, from production to performance. Researchers have attempted to automate multitudinous aspects in this domain. One of the interests has been towards the automated generation of music pieces itself. Bass grooves are an integral part of most music pieces. It makes a piece sound complete and bridges the gap between the percussion and melody sections. Thus, it is essential for machines to understand bass grooves for automated music analysis and production. Automatically distinguishing bass grooves is difficult and it aggravates even more for polyphonic music. In polyphonic music, the bass grooves tend to be at a lower volume and its frequency range has profound overlap with the percussion section which contributes to the complexity of identification. In this paper, a system is presented to distinguish bass grooves in the presence of drums. Experiments were performed with 7 grooves totaling 4473 clips which were modeled using MFCC-based features. The highest accuracy of 97.38% was obtained using multi-layer perceptron (MLP)-based classification.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121799875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10073352
Zhongyi Wang, Jin Shang, Yimeng Zhang, Fengyu Wang, Wenjun Xu
Luby Transform (LT) codes are key technologies to solve multiple access in future 6G wireless networks, and performance analysis is a significant part of such multiple access schemes. In this paper, we present a low-complexity performance analysis scheme for finite-length LT codes. First, matrix model is proposed to describe LT encode and belief-propagation (BP) decoder. Then, the degree distribution change during decoding is investigated based on the matrix model and the low-complexity performance analysis scheme is proposed. Numerical results show that the proposed analysis scheme significantly outperforms other schemes with low data length and precisely predicts the error probability of LT codes under the large or small overhead with high data length.
{"title":"A Low-Complexity Analysis of Finite-Length LT Codes Based on Degree Distribution Evolution","authors":"Zhongyi Wang, Jin Shang, Yimeng Zhang, Fengyu Wang, Wenjun Xu","doi":"10.1109/ICCT56141.2022.10073352","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073352","url":null,"abstract":"Luby Transform (LT) codes are key technologies to solve multiple access in future 6G wireless networks, and performance analysis is a significant part of such multiple access schemes. In this paper, we present a low-complexity performance analysis scheme for finite-length LT codes. First, matrix model is proposed to describe LT encode and belief-propagation (BP) decoder. Then, the degree distribution change during decoding is investigated based on the matrix model and the low-complexity performance analysis scheme is proposed. Numerical results show that the proposed analysis scheme significantly outperforms other schemes with low data length and precisely predicts the error probability of LT codes under the large or small overhead with high data length.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122614368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10073226
Kuang Luo, Lu Ou, Chuangfeng Zhang, Ming Zhang, Jinxin Li, Shaolin Liao
Efficient Numerical Singular Integral (NSI) methods have been developed for both 1D and 2D electromagnetics problems, in both the Cartesian and polar coordinates. Through a special type of integration by parts, rigorous mathematics derivation has been performed to decompose the original singular integrals into sum of non-singular integrals that can be evaluated numerically. It can be shown that it is more convenient to evaluate the line-type singularity in the Cartesian coordinate; while it is better to evaluate the point-type singularity in the polar coordinate. Also, numerical schemes to find the order of singularity has been presented. Finally, to validate the 2D numerical singular integral methods, the electromagnetic scattering problem of a 2D reflecting ellipse antenna has been simulated through the Ping-Pong algorithm developed by the authors.
{"title":"Numerical Singular Integral Methods for Computational Electromagnetics","authors":"Kuang Luo, Lu Ou, Chuangfeng Zhang, Ming Zhang, Jinxin Li, Shaolin Liao","doi":"10.1109/ICCT56141.2022.10073226","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073226","url":null,"abstract":"Efficient Numerical Singular Integral (NSI) methods have been developed for both 1D and 2D electromagnetics problems, in both the Cartesian and polar coordinates. Through a special type of integration by parts, rigorous mathematics derivation has been performed to decompose the original singular integrals into sum of non-singular integrals that can be evaluated numerically. It can be shown that it is more convenient to evaluate the line-type singularity in the Cartesian coordinate; while it is better to evaluate the point-type singularity in the polar coordinate. Also, numerical schemes to find the order of singularity has been presented. Finally, to validate the 2D numerical singular integral methods, the electromagnetic scattering problem of a 2D reflecting ellipse antenna has been simulated through the Ping-Pong algorithm developed by the authors.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122369247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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