Pub Date : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896714
Yuqi Leng, Ruiqi Zhang, Wenkun Wen, Peiran Wu, M. Xia
Physical-layer authentication (PLA) is capable of providing lightweight security solutions for the next-generation Internet of Things (IoT) networks. This paper adopts and modifies the spreading code authentication techniques originally designed for the Global Navigation Satellite System to apply PLA to narrowband IoT networks. In particular, two watermarking schemes including single- and multi-frame watermarking are developed to replace chip values in the spreading code segment for the PHY-layer preamble. In the single-frame scheme, a whole watermark sequence is embedded into one single frame in a preamble-bit-wise manner, with a randomly generated set of indices indicating the position of the watermarked segments, and the receiver makes a correlation test to make authentication decisions once receiving a message. In the multi-frame scheme, a watermark sequence is split and periodically embedded into several frames, and the receiver conducts joint authentication for these frames. Simulation results of single-frame watermarking along with the prototype validation of multi-frame watermarking based on the GNU Radio/USRP SDR platform corroborate the effectiveness of both schemes.
{"title":"Physical- Layer Authentication based on Spreading Code Watermarking for IoT Networks","authors":"Yuqi Leng, Ruiqi Zhang, Wenkun Wen, Peiran Wu, M. Xia","doi":"10.1109/ICCCWorkshops55477.2022.9896714","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896714","url":null,"abstract":"Physical-layer authentication (PLA) is capable of providing lightweight security solutions for the next-generation Internet of Things (IoT) networks. This paper adopts and modifies the spreading code authentication techniques originally designed for the Global Navigation Satellite System to apply PLA to narrowband IoT networks. In particular, two watermarking schemes including single- and multi-frame watermarking are developed to replace chip values in the spreading code segment for the PHY-layer preamble. In the single-frame scheme, a whole watermark sequence is embedded into one single frame in a preamble-bit-wise manner, with a randomly generated set of indices indicating the position of the watermarked segments, and the receiver makes a correlation test to make authentication decisions once receiving a message. In the multi-frame scheme, a watermark sequence is split and periodically embedded into several frames, and the receiver conducts joint authentication for these frames. Simulation results of single-frame watermarking along with the prototype validation of multi-frame watermarking based on the GNU Radio/USRP SDR platform corroborate the effectiveness of both schemes.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128064022","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896661
Zhuoran He, Jian Sun, Wensheng Zhang, K. An, Chengxiang Wang
This paper designs multiple targets passive radar system that can estimate the position and velocity information using orthogonal frequency division multiplexing (OFDM) signal emitted from an uncooperative fixed transmitter. The radar receiver has two channels. In channel one, a high gain directional antenna points to the transmitter to obtain a pure reference signal. The other part is configured with a uniformly rectangular array (URA) to capture the multi-target echo signals. As the echo signals scattering back from small targets with lower RCS are weak, a long correlation operation of the echo signal with the reference signal is required to detect the targets, unfortunately, which will degrade by the frequency shift arising from the movement of targets. This paper uses a piecewise correlation accumulation algorithm to solve this problem. First, we obtain the relative delay profile of the echo signal by a piecewise correlation between it and the reference signal, followed by the nonlinear accumulation of block and multiple receiving channels. Then, a detection procedure is applied to discriminate the targets. The direction of the target relative to the URA can be estimated by 2D DOA algorithms using the block-correlation array signal sampling at the target relative delay. Using the beamformed multi-channel echo signals, we can estimate the target Doppler by the Root-Music algorithm. Finally, we can estimate the targets ‘ location and velocity from the geometric relationship between the transmitter, receiver, and target with the obtained delay, direction, and Doppler parameters. Simulation results verify the feasibility of our designed passive radar system.
{"title":"A Passive Broadband Radar System Design for Low, Slow and Small Target Detection","authors":"Zhuoran He, Jian Sun, Wensheng Zhang, K. An, Chengxiang Wang","doi":"10.1109/ICCCWorkshops55477.2022.9896661","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896661","url":null,"abstract":"This paper designs multiple targets passive radar system that can estimate the position and velocity information using orthogonal frequency division multiplexing (OFDM) signal emitted from an uncooperative fixed transmitter. The radar receiver has two channels. In channel one, a high gain directional antenna points to the transmitter to obtain a pure reference signal. The other part is configured with a uniformly rectangular array (URA) to capture the multi-target echo signals. As the echo signals scattering back from small targets with lower RCS are weak, a long correlation operation of the echo signal with the reference signal is required to detect the targets, unfortunately, which will degrade by the frequency shift arising from the movement of targets. This paper uses a piecewise correlation accumulation algorithm to solve this problem. First, we obtain the relative delay profile of the echo signal by a piecewise correlation between it and the reference signal, followed by the nonlinear accumulation of block and multiple receiving channels. Then, a detection procedure is applied to discriminate the targets. The direction of the target relative to the URA can be estimated by 2D DOA algorithms using the block-correlation array signal sampling at the target relative delay. Using the beamformed multi-channel echo signals, we can estimate the target Doppler by the Root-Music algorithm. Finally, we can estimate the targets ‘ location and velocity from the geometric relationship between the transmitter, receiver, and target with the obtained delay, direction, and Doppler parameters. Simulation results verify the feasibility of our designed passive radar system.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126937879","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896691
Jingran Chen, Boren Guo, Yang Xu, Tricci So, Cong Shi, Ning Yang, Bowen Xie, Yuxuan Sun, Sheng Zhou
In federated learning (FL) over the 5G system (5GS), a group of user equipments (UEs) that are FL participants with diverse local datasets can accelerate the model training and enhance the model generalization. It is impractical to blindly select a large number of FL participants in order to derive a well-trained model. Instead, it would be more beneficial to select a small number of FL participants (i.e. UEs) with specific characteristics given the considerations of the mobile communication resource constraints. However, how to effectively select suitable UEs as FL participants is a challenging problem for application server on mobile targets, since it requires prior information about user characteristics, such as user location information and mobility-related information. This paper proposes a FL member selection method based on the assistance of a 3rd Generation Partnership Project (3GPP) 5GS to address the above problem. In particular, the trajectory prediction is considered as a typical scenario where 5GS has the ability to identify the list of best candidate UEs to participate in the FL according to the criteria as specified by the FL server. This paper illustrates the effective 5GS support for the application AI services from the Network for AI perspective.
{"title":"5GS Assistance for Federated Learning Member Selection in Trajectory Prediction Scenarios","authors":"Jingran Chen, Boren Guo, Yang Xu, Tricci So, Cong Shi, Ning Yang, Bowen Xie, Yuxuan Sun, Sheng Zhou","doi":"10.1109/ICCCWorkshops55477.2022.9896691","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896691","url":null,"abstract":"In federated learning (FL) over the 5G system (5GS), a group of user equipments (UEs) that are FL participants with diverse local datasets can accelerate the model training and enhance the model generalization. It is impractical to blindly select a large number of FL participants in order to derive a well-trained model. Instead, it would be more beneficial to select a small number of FL participants (i.e. UEs) with specific characteristics given the considerations of the mobile communication resource constraints. However, how to effectively select suitable UEs as FL participants is a challenging problem for application server on mobile targets, since it requires prior information about user characteristics, such as user location information and mobility-related information. This paper proposes a FL member selection method based on the assistance of a 3rd Generation Partnership Project (3GPP) 5GS to address the above problem. In particular, the trajectory prediction is considered as a typical scenario where 5GS has the ability to identify the list of best candidate UEs to participate in the FL according to the criteria as specified by the FL server. This paper illustrates the effective 5GS support for the application AI services from the Network for AI perspective.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129466892","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896671
Jun Wu, W. Yuan, F. Liu, Yuanhao Cui, Xiao Meng, Hongjia Huang
Due to the high mobility and deployment on-demand, unmanned aerial vehicle (UAV) is becoming more popular in future wireless communications as well as sensing systems. In this paper, we study a UAV-enabled network for the ground user tracking, which can be regarded as a “free lunch” as the purpose of UAV s is to carry out some specific communications tasks. Relying on the integrated sensing and communication (ISAC) technology, the UAVs are capable of extracting the time-delay and Doppler measurements. In particular, to exploit the temporal correlation of the user location for accurate tracking, we propose an extended Kalman filtering (EKF)-based framework. Moreover, we utilize the geometrical relationship of multiple measurements to estimate the velocity, which can overcome high error velocity estimation by single base station (BS). Numerical results show that with the aid of UAV ISAC signals, our proposed algorithm significantly outperforms the benchmark scheme using a single BS for target tracking.
{"title":"UAV-Based Target Tracking: Integrating Sensing into Communication Signals","authors":"Jun Wu, W. Yuan, F. Liu, Yuanhao Cui, Xiao Meng, Hongjia Huang","doi":"10.1109/ICCCWorkshops55477.2022.9896671","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896671","url":null,"abstract":"Due to the high mobility and deployment on-demand, unmanned aerial vehicle (UAV) is becoming more popular in future wireless communications as well as sensing systems. In this paper, we study a UAV-enabled network for the ground user tracking, which can be regarded as a “free lunch” as the purpose of UAV s is to carry out some specific communications tasks. Relying on the integrated sensing and communication (ISAC) technology, the UAVs are capable of extracting the time-delay and Doppler measurements. In particular, to exploit the temporal correlation of the user location for accurate tracking, we propose an extended Kalman filtering (EKF)-based framework. Moreover, we utilize the geometrical relationship of multiple measurements to estimate the velocity, which can overcome high error velocity estimation by single base station (BS). Numerical results show that with the aid of UAV ISAC signals, our proposed algorithm significantly outperforms the benchmark scheme using a single BS for target tracking.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126177156","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896690
Haojun Liu, Dexin Qu, Gengxin Zhang, Jiahong Li
Satellite search and rescue positioning technology can provide effective means for mountain areas, deserts, oceans and other areas lacking communication infrastructure, which has attracted more attention recently. In this paper, we propose a joint time-frequency difference optimal location method for satellite search and rescue system to improve the performance of parameter estimation and location solution in the traditional passive dual satellite time-frequency difference location technology. Specifically, the fast Fourier transform is used to simplify the joint estimation of the time-frequency difference of the cross ambiguity function. Aiming at the burst low duty cycle transmission of search and rescue signals, a time-domain windowed comprehensive cross ambiguity function calculation model is proposed. Finally, a genetic algorithm is proposed to solve the positioning equation. Simulation results show that, compared with traditional methods, the proposed algorithm can improve the system fault tolerance and positioning accuracy, and reduce the computational complexity.
{"title":"Joint optimal positioning method of time-frequency difference for satellite search and rescue system","authors":"Haojun Liu, Dexin Qu, Gengxin Zhang, Jiahong Li","doi":"10.1109/ICCCWorkshops55477.2022.9896690","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896690","url":null,"abstract":"Satellite search and rescue positioning technology can provide effective means for mountain areas, deserts, oceans and other areas lacking communication infrastructure, which has attracted more attention recently. In this paper, we propose a joint time-frequency difference optimal location method for satellite search and rescue system to improve the performance of parameter estimation and location solution in the traditional passive dual satellite time-frequency difference location technology. Specifically, the fast Fourier transform is used to simplify the joint estimation of the time-frequency difference of the cross ambiguity function. Aiming at the burst low duty cycle transmission of search and rescue signals, a time-domain windowed comprehensive cross ambiguity function calculation model is proposed. Finally, a genetic algorithm is proposed to solve the positioning equation. Simulation results show that, compared with traditional methods, the proposed algorithm can improve the system fault tolerance and positioning accuracy, and reduce the computational complexity.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122682610","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896472
Yuxia Niu, Song Zhao, X. She, Peng Chen
The objective of this paper is to identify and specify potential key issues and potential solutions for management of Network Data Analytics function (NWDAF). Specifically, this paper shall address the following potential key issues on 3GPP: (1) whether and how to enhance NRM to support the deployment of multiple NWDAFs and logical function decomposition of NWDAF, (2) how to provide performance management of the NWDAF on interaction aspect, data collection aspect, output aspect and efficiency aspect. This paper aims to provide a survey of management of NWDAF on 3GPP, including some potential key issues and potential solutions, with a view to further promoting the development of the technologies of NWDAF management on 3GPP.
{"title":"A Survey of 3GPP Release 18 on Network Data Analytics Function Management","authors":"Yuxia Niu, Song Zhao, X. She, Peng Chen","doi":"10.1109/ICCCWorkshops55477.2022.9896472","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896472","url":null,"abstract":"The objective of this paper is to identify and specify potential key issues and potential solutions for management of Network Data Analytics function (NWDAF). Specifically, this paper shall address the following potential key issues on 3GPP: (1) whether and how to enhance NRM to support the deployment of multiple NWDAFs and logical function decomposition of NWDAF, (2) how to provide performance management of the NWDAF on interaction aspect, data collection aspect, output aspect and efficiency aspect. This paper aims to provide a survey of management of NWDAF on 3GPP, including some potential key issues and potential solutions, with a view to further promoting the development of the technologies of NWDAF management on 3GPP.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130887622","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896679
Lijia Yang, Wenhao Chen, Li Chen
This paper proposes a reduced complexity ordered statistics decoding (OSD) algorithm for linear block codes. With the received information, several most reliable positions in the ordered reliability sequence are prioritized as the validation band (VB). The Gaussian elimination (GE) is then performed to generate the systematic generator matrix of the code. In the process of re-encoding, only the test messages that satisfy the validation rule would be used to generate the codeword candidates, resulting in a low decoding complexity. The decoding error probability upper bound of the proposed OSD is further analyzed to characterize its performance-complexity trade off. Our simulation results show that the proposed OSD can significantly reduce the decoding complexity with a negligible loss in the decoding performance.
{"title":"Reduced Complexity Ordered Statistics Decoding of Linear Block Codes","authors":"Lijia Yang, Wenhao Chen, Li Chen","doi":"10.1109/ICCCWorkshops55477.2022.9896679","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896679","url":null,"abstract":"This paper proposes a reduced complexity ordered statistics decoding (OSD) algorithm for linear block codes. With the received information, several most reliable positions in the ordered reliability sequence are prioritized as the validation band (VB). The Gaussian elimination (GE) is then performed to generate the systematic generator matrix of the code. In the process of re-encoding, only the test messages that satisfy the validation rule would be used to generate the codeword candidates, resulting in a low decoding complexity. The decoding error probability upper bound of the proposed OSD is further analyzed to characterize its performance-complexity trade off. Our simulation results show that the proposed OSD can significantly reduce the decoding complexity with a negligible loss in the decoding performance.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128919746","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 : 2022-08-11DOI: 10.1109/ICCCWorkshops55477.2022.9896639
Yilin Lin, Yuqin Liu, Yufeng He, Ling Tang
Network architecture research is a hot area of current 6G research. This paper firstly discusses the trend of 6G network towards a hierarchical and distributed architecture, starting from the two aspects of 6G evolution requirements and the current limitations of 5G. Then, this paper proposes a hierarchical and distributed network architecture vision. The 6G hierarchical and distributed network architecture will carry out function reconstruction, boundary reconstruction, trust reconstruction and bearer reconstruction based on the current 5G network, and will have the following features: flexible and dynamic generation on demand, hierarchical and distributed collaboration, deep integration of network and edge, etc. Finally, the simulation results demonstrate that the reliability and delay characteristics can be further improved through the distributed deployment of the end-to-end network.
{"title":"6G: A Hierarchical and Distributed Network","authors":"Yilin Lin, Yuqin Liu, Yufeng He, Ling Tang","doi":"10.1109/ICCCWorkshops55477.2022.9896639","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896639","url":null,"abstract":"Network architecture research is a hot area of current 6G research. This paper firstly discusses the trend of 6G network towards a hierarchical and distributed architecture, starting from the two aspects of 6G evolution requirements and the current limitations of 5G. Then, this paper proposes a hierarchical and distributed network architecture vision. The 6G hierarchical and distributed network architecture will carry out function reconstruction, boundary reconstruction, trust reconstruction and bearer reconstruction based on the current 5G network, and will have the following features: flexible and dynamic generation on demand, hierarchical and distributed collaboration, deep integration of network and edge, etc. Finally, the simulation results demonstrate that the reliability and delay characteristics can be further improved through the distributed deployment of the end-to-end network.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123072001","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}
Orthogonal time frequency space (OTFS) systems can effectively balance the Doppler shift by transforming the channel with a drastic change in the time-frequency (TF) domain into a stable channel in the delay-Doppler (DD) domain. In order to take full advantage of the OTFS system, accurate channel estimation results are critical in OTFS systems. In this paper, a model-driven deep learning (DL)-based channel estimation technique is proposed for OTFS in the DD domain. The presented channel estimation scheme has two parts. The first part takes advantage of the traditional orthogonal matching pursuit (OMP) algorithm to generate preliminary channel estimation results. The second part uses a deep residual learning network (ResNet) to further process the rough estimation results to get an accurate OTFS channel estimation. Simulation results demonstrate that the performance of the proposed model-driven ResNet-based scheme is significantly better than the traditional OMP algorithm, and there is about 6dB performance gain when the size of an OTFS frame is 128×16 and the normalized mean squared error (NMSE) is 0.00173. It also proves that the proposed ResNet-based channel estimation scheme can be applied to different scenarios and achieve good robustness.
{"title":"Residual Learning based Channel Estimation for OTFS system","authors":"Qingyu Li, Yi Gong, Fanke Meng, Zhongjie Li, Linlong Miao, Zhan Xu","doi":"10.1109/ICCCWorkshops55477.2022.9896637","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896637","url":null,"abstract":"Orthogonal time frequency space (OTFS) systems can effectively balance the Doppler shift by transforming the channel with a drastic change in the time-frequency (TF) domain into a stable channel in the delay-Doppler (DD) domain. In order to take full advantage of the OTFS system, accurate channel estimation results are critical in OTFS systems. In this paper, a model-driven deep learning (DL)-based channel estimation technique is proposed for OTFS in the DD domain. The presented channel estimation scheme has two parts. The first part takes advantage of the traditional orthogonal matching pursuit (OMP) algorithm to generate preliminary channel estimation results. The second part uses a deep residual learning network (ResNet) to further process the rough estimation results to get an accurate OTFS channel estimation. Simulation results demonstrate that the performance of the proposed model-driven ResNet-based scheme is significantly better than the traditional OMP algorithm, and there is about 6dB performance gain when the size of an OTFS frame is 128×16 and the normalized mean squared error (NMSE) is 0.00173. It also proves that the proposed ResNet-based channel estimation scheme can be applied to different scenarios and achieve good robustness.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127631562","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}
In the process of building data warehouse based on Data Vault (DV), the creation and use of metadata involve multiple schemas and views of data from different sources, which inevitably bring inconsistency problems such as metadata missing, duplication and disconnection. However, due to the lack of precise semantics in DV metamodel, it is difficult to use automatic logical reasoning to detect these problems. This paper presents a formal logic DLdv in the describing logic family. Formalization upon the metamodel and metadata of DV data warehouse are analyzed in detail by using the descriptive logic DLdv. It is proved that the feasibility of applying DLdv to DV metamodel for automatically consistency reasoning.
{"title":"Consistency Reasoning for Data Warehouse Metadata Based on Data Vault","authors":"Xinyao Feng, Zewu Peng, Haowen Ren, Hanyang Xie, Jinhe Wang, Taipeng Zhu, Yingwei Liang, Ding Pan","doi":"10.1109/ICCCWorkshops55477.2022.9896668","DOIUrl":"https://doi.org/10.1109/ICCCWorkshops55477.2022.9896668","url":null,"abstract":"In the process of building data warehouse based on Data Vault (DV), the creation and use of metadata involve multiple schemas and views of data from different sources, which inevitably bring inconsistency problems such as metadata missing, duplication and disconnection. However, due to the lack of precise semantics in DV metamodel, it is difficult to use automatic logical reasoning to detect these problems. This paper presents a formal logic DLdv in the describing logic family. Formalization upon the metamodel and metadata of DV data warehouse are analyzed in detail by using the descriptive logic DLdv. It is proved that the feasibility of applying DLdv to DV metamodel for automatically consistency reasoning.","PeriodicalId":148869,"journal":{"name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"464 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131681312","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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