Pub Date : 2022-11-11DOI: 10.1109/ICCT56141.2022.10073398
Jianwei Li, Dongdong Wang, Lizhe Liu, Bin Wang, Chenhua Sun
This paper proposes a satellite ephemeris broadcasting architecture for 5G integrated low earth orbit (LEO) Satellite Internet based on two-line element (TLE) ephemeris. By periodically broadcasting the TLE ephemeris, which can be used to assist the user equipment (UE) for satellite selection, Doppler frequency offset and time advance (TA) pre-compensation, etc., the design of the 5G integrated LEO satellite air interface could be greatly simplified. The proposed architecture mainly comprises three stages, the generation, distribution and application of TLE ephemeris. (1) The accurate TLE ephemeris is generated by the simplified general perturbations-4 (SGP4) orbital model, whose input is obtained by the data combination of the orbital data acquired from the spaceborne global navigation satellite system (GNSS) and the satellite tracking station, respectively. (2) The generated ephemeris is sent to the internet, and then be uploaded to its corresponding LEO satellite by the feeder link. The UEs can either obtain the ephemeris from the satellite or from the terrestrial base station. (3) The UE equipped with GNSS system utilizes the TLE ephemeris to calculate the orbital information, Doppler frequency offset and timing advance, etc., so as to realize the efficient and reliable communication with the LEO satellites. The simulation results show that the proposed ephemeris broadcasting architecture can provide reliable and necessary priori information used for the entire physical layer communication process of 5G integrated LEO Satellite Internet over a period of time.
{"title":"Satellite Ephemeris Broadcasting Architecture for 5G Integrated LEO Satellite Internet","authors":"Jianwei Li, Dongdong Wang, Lizhe Liu, Bin Wang, Chenhua Sun","doi":"10.1109/ICCT56141.2022.10073398","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073398","url":null,"abstract":"This paper proposes a satellite ephemeris broadcasting architecture for 5G integrated low earth orbit (LEO) Satellite Internet based on two-line element (TLE) ephemeris. By periodically broadcasting the TLE ephemeris, which can be used to assist the user equipment (UE) for satellite selection, Doppler frequency offset and time advance (TA) pre-compensation, etc., the design of the 5G integrated LEO satellite air interface could be greatly simplified. The proposed architecture mainly comprises three stages, the generation, distribution and application of TLE ephemeris. (1) The accurate TLE ephemeris is generated by the simplified general perturbations-4 (SGP4) orbital model, whose input is obtained by the data combination of the orbital data acquired from the spaceborne global navigation satellite system (GNSS) and the satellite tracking station, respectively. (2) The generated ephemeris is sent to the internet, and then be uploaded to its corresponding LEO satellite by the feeder link. The UEs can either obtain the ephemeris from the satellite or from the terrestrial base station. (3) The UE equipped with GNSS system utilizes the TLE ephemeris to calculate the orbital information, Doppler frequency offset and timing advance, etc., so as to realize the efficient and reliable communication with the LEO satellites. The simulation results show that the proposed ephemeris broadcasting architecture can provide reliable and necessary priori information used for the entire physical layer communication process of 5G integrated LEO Satellite Internet over a period of time.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"44 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":"115412859","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/ICCT56141.2022.10072804
Qiaomu Jiang, Yiqin Lu, Bin Wang, Linxia Zhang, Wen Long
This paper focuses on the security of state estimation in supervisory control and data acquisition (SCADA) system in smart grids. The security index has been wildly studied to evaluate the vulnerability of SCADA systems under various types of cyber attacks, e.g., the false data injection (FDI) attack and distributed denial of service (DDoS) attack. However, it is shown that the calculation of security index is an NP-hard problem. Therefore, we propose an algebraic polynomial-time algorithm to calculate the security indices iteratively based on the orthogonal projection technique. Since existing modeling methods of security index only consider the attack overhead, without considering the impact of cyber attacks on the system performance, a novel hybrid security index is constructed. In the hybrid security index, the overheads of FDI attacks, DDoS attacks, and the impact of attack on the estimation error are considered simultaneously. Numerical results show that the protection of some critical measurements can enhance the overall security of SCADA systems.
{"title":"Assessment of Security Index for SCADA Systems in Smart Grids","authors":"Qiaomu Jiang, Yiqin Lu, Bin Wang, Linxia Zhang, Wen Long","doi":"10.1109/ICCT56141.2022.10072804","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072804","url":null,"abstract":"This paper focuses on the security of state estimation in supervisory control and data acquisition (SCADA) system in smart grids. The security index has been wildly studied to evaluate the vulnerability of SCADA systems under various types of cyber attacks, e.g., the false data injection (FDI) attack and distributed denial of service (DDoS) attack. However, it is shown that the calculation of security index is an NP-hard problem. Therefore, we propose an algebraic polynomial-time algorithm to calculate the security indices iteratively based on the orthogonal projection technique. Since existing modeling methods of security index only consider the attack overhead, without considering the impact of cyber attacks on the system performance, a novel hybrid security index is constructed. In the hybrid security index, the overheads of FDI attacks, DDoS attacks, and the impact of attack on the estimation error are considered simultaneously. Numerical results show that the protection of some critical measurements can enhance the overall security of SCADA systems.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"387 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":"116643927","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/ICCT56141.2022.10072678
Menggang Sheng, Zeyang Zhang, M.-J. Deng, Zhiqiang Yao
In recent years, more and more attention has been paid to the research of unmanned aerial vehicle (UAV) cooperative task assignment. In order to complete the task with the lowest cost, some researchers use multi-objective to optimize the assignment. But few of them consider the complex dynamic scenarios. According to the coordinated task assignment problem of scheduling jammer and attack UAV resources to targets, a dynamic multi-objective optimization cooperative task assignment model is established. It takes the scheduling cost, path cost, risk cost and total task time cost as the optimization objectives. To solve this model, this paper proposes an improved dynamic multi-objective adaptive weighted particle swarm algorithm. In the initialization stage, a heuristic method is used to increase the effectiveness of the solution. Besides, the adaptive mutation and subgroup methods are adopted to improve the diversity of the solution. Then, an effective environment change detection and environment change response strategy are designed to deal with dynamic scene changes. Finally, the Hypervolume (HV) metric is calculated in the experiments in different instances. Compared with the popular and classic dynamic multi-objective algorithms, the simulation results verify that the proposed algorithm is effective and can cope with the changes of the environment better in solving the problem of UAV collaborative task assignment.
{"title":"Research on UAV Cooperative Task Assignment Based on Dynamic Multi-objective Evolutionary Algorithm","authors":"Menggang Sheng, Zeyang Zhang, M.-J. Deng, Zhiqiang Yao","doi":"10.1109/ICCT56141.2022.10072678","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072678","url":null,"abstract":"In recent years, more and more attention has been paid to the research of unmanned aerial vehicle (UAV) cooperative task assignment. In order to complete the task with the lowest cost, some researchers use multi-objective to optimize the assignment. But few of them consider the complex dynamic scenarios. According to the coordinated task assignment problem of scheduling jammer and attack UAV resources to targets, a dynamic multi-objective optimization cooperative task assignment model is established. It takes the scheduling cost, path cost, risk cost and total task time cost as the optimization objectives. To solve this model, this paper proposes an improved dynamic multi-objective adaptive weighted particle swarm algorithm. In the initialization stage, a heuristic method is used to increase the effectiveness of the solution. Besides, the adaptive mutation and subgroup methods are adopted to improve the diversity of the solution. Then, an effective environment change detection and environment change response strategy are designed to deal with dynamic scene changes. Finally, the Hypervolume (HV) metric is calculated in the experiments in different instances. Compared with the popular and classic dynamic multi-objective algorithms, the simulation results verify that the proposed algorithm is effective and can cope with the changes of the environment better in solving the problem of UAV collaborative task assignment.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"26 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":"117219741","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/ICCT56141.2022.10072766
Runxian Li, Wanming Hao, Fang Wang, Shou-yi Yang
Computation offloading has been regarded as an effective scheme to reduce the latency in mobile edge computing (MEC) system. However, the offloading latency will be extremely increased when the propagation link is poor. To improve the offloading performance, we apply the intelligent reflecting surface (IRS) to the MEC system, and propose an IRS-assisted MEC system. We formulate a min-max user latency problem by jointly optimization of offloading strategy, computing resources and IRS phase shift. To solve the non-convex problem, we propose an alternate iterative algorithm to decouple it into two subproblems. In particular, the successive convex approximation and semidefinite relaxation techniques are exploited to solve the two subproblems, respectively. The simulation results show that, compared with the traditional scheme, the proposed scheme can effectively improve user's fairness and reduce the user's latency.
{"title":"Min-Max Latency Optimization for Intelligent Reflecting Surface-Assisted Mobile Edge Computing","authors":"Runxian Li, Wanming Hao, Fang Wang, Shou-yi Yang","doi":"10.1109/ICCT56141.2022.10072766","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072766","url":null,"abstract":"Computation offloading has been regarded as an effective scheme to reduce the latency in mobile edge computing (MEC) system. However, the offloading latency will be extremely increased when the propagation link is poor. To improve the offloading performance, we apply the intelligent reflecting surface (IRS) to the MEC system, and propose an IRS-assisted MEC system. We formulate a min-max user latency problem by jointly optimization of offloading strategy, computing resources and IRS phase shift. To solve the non-convex problem, we propose an alternate iterative algorithm to decouple it into two subproblems. In particular, the successive convex approximation and semidefinite relaxation techniques are exploited to solve the two subproblems, respectively. The simulation results show that, compared with the traditional scheme, the proposed scheme can effectively improve user's fairness and reduce the user's latency.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"74 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":"125916128","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}
For the global navigation satellite system (GNSS) cannot meet the positioning requirements under occlusion or malicious interference, this paper proposes a receiver self-localization method using long-term evolution (LTE) downlink signals. The method is based on the multi-station time difference location mechanism. The signal acquisition of multi-base stations (BSs) is realized by signal demodulation. The transmission time difference calibration is used to solve the asynchronous problem among BSs. The synchronous signal and cell-specific reference signal are comprehensively detected to extract high-precision time difference parameters. The receiver can calculate and obtain its own position by using these timing parameters. Finally, a software-defined receiver is built to carry out experiments in the outdoor environment. Experimental results show that the positioning distance and moving direction are basically consistent with the actual situation. The root mean square error (RMSE) is less than 5m, which fully verifies the feasibility of LTE as an opportunity signal for navigation.
{"title":"Signals of Opportunity Navigation Using LTE Downlink Signals","authors":"Yiteng Wang, Huijie Zhu, Tianyi Liang, Jiachuan Qian","doi":"10.1109/ICCT56141.2022.10073345","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073345","url":null,"abstract":"For the global navigation satellite system (GNSS) cannot meet the positioning requirements under occlusion or malicious interference, this paper proposes a receiver self-localization method using long-term evolution (LTE) downlink signals. The method is based on the multi-station time difference location mechanism. The signal acquisition of multi-base stations (BSs) is realized by signal demodulation. The transmission time difference calibration is used to solve the asynchronous problem among BSs. The synchronous signal and cell-specific reference signal are comprehensively detected to extract high-precision time difference parameters. The receiver can calculate and obtain its own position by using these timing parameters. Finally, a software-defined receiver is built to carry out experiments in the outdoor environment. Experimental results show that the positioning distance and moving direction are basically consistent with the actual situation. The root mean square error (RMSE) is less than 5m, which fully verifies the feasibility of LTE as an opportunity signal for navigation.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"400 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":"114929070","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/ICCT56141.2022.10073211
Ruixi Zhao, Kecheng Zhang, Yan Zhang
Digital twin (DT) emerges as a promising technology to realize highly reliable and low-latency communication in 6G. The co-evolution between physical devices and their virtual twins in DT technology is crucial that guarantees efficient operation of Digital Twin Edge Networks (DITEN). However, due to the huge amount of data transmitted from physical layer to digital twin layer and the heavy tasks offloading to edge servers, the co-evolution may cause quite heavy energy consumption of user devices and high computation overhead of edge servers. In this paper, we propose a digital twin edge association scheme which integrates digital twins with edge networks to enable low energy consumption and low computation overhead edge association. First, we introduce a DITEN model and define energy-efficient edge association problem. Then, we solve the problem in a Stackelberg Game model approach and give performance evaluation results. Finally, we conclude the paper and discuss future work.
{"title":"Energy-efficient Edge Association in Digital Twin empowered 6G Networks","authors":"Ruixi Zhao, Kecheng Zhang, Yan Zhang","doi":"10.1109/ICCT56141.2022.10073211","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073211","url":null,"abstract":"Digital twin (DT) emerges as a promising technology to realize highly reliable and low-latency communication in 6G. The co-evolution between physical devices and their virtual twins in DT technology is crucial that guarantees efficient operation of Digital Twin Edge Networks (DITEN). However, due to the huge amount of data transmitted from physical layer to digital twin layer and the heavy tasks offloading to edge servers, the co-evolution may cause quite heavy energy consumption of user devices and high computation overhead of edge servers. In this paper, we propose a digital twin edge association scheme which integrates digital twins with edge networks to enable low energy consumption and low computation overhead edge association. First, we introduce a DITEN model and define energy-efficient edge association problem. Then, we solve the problem in a Stackelberg Game model approach and give performance evaluation results. Finally, we conclude the paper and discuss future work.","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":"116525227","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/ICCT56141.2022.10072753
Ke Wang, C. Lam, B. Ng
In this paper, we propose a rotatable reconfigurable intelligent surface (RIS) assisted system to enhance the transmission quality of wireless communications. The RIS is able to rotate for maximizing the cascaded channel gain dynamically. In particular, we first introduce a continuous-time propagation model for the rotatable RIS-aided communication system. Then, a rotation angle optimization problem is formulated and solved, which boosts the channel gain of the cascaded link. Besides, we derive the expression of the spectral efficiency for the proposed system. Numerical evaluations reveal that the dynamic rotation strategy can not only enhance spectral efficiency and reduce delay spread but is still effective when rotation errors exist.
{"title":"Reconfigurable Intelligent Surface Assisted Communications Using Dynamic Rotations","authors":"Ke Wang, C. Lam, B. Ng","doi":"10.1109/ICCT56141.2022.10072753","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072753","url":null,"abstract":"In this paper, we propose a rotatable reconfigurable intelligent surface (RIS) assisted system to enhance the transmission quality of wireless communications. The RIS is able to rotate for maximizing the cascaded channel gain dynamically. In particular, we first introduce a continuous-time propagation model for the rotatable RIS-aided communication system. Then, a rotation angle optimization problem is formulated and solved, which boosts the channel gain of the cascaded link. Besides, we derive the expression of the spectral efficiency for the proposed system. Numerical evaluations reveal that the dynamic rotation strategy can not only enhance spectral efficiency and reduce delay spread but is still effective when rotation errors exist.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"16 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":"128267589","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/ICCT56141.2022.10072922
Jinqiu Zhao, Zhiquan Bai, Y.J. Cai, Shuaishuai Guo, K. Kwak
This paper proposes a decode-and-forward (DF) and reconfigurable intelligent surface (RIS) aided multiple-input single-output (MISO) (DF-RIS MISO) system to avoid the “double fading” effect introduced by RIS. The closed-form average bit error rate (ABER) of the DF-RIS MISO system is derived and the joint optimization of the active and passive beamforming and power allocation is presented to maximize the system achievable rate. Numerical simulations verify that the proposed DF-RIS MISO system enables RIS and DF to work complementary and avoid the “double fading” effect significantly. Meanwhile, the proposed system with joint beamforming and power allocation optimization achieves better achievable rate and ABER performance compared with the typical systems. Furthermore, we have discussed the best relay location in this paper as well.
{"title":"Optimization of Decode-and-Forward Relaying and RIS Aided MISO System","authors":"Jinqiu Zhao, Zhiquan Bai, Y.J. Cai, Shuaishuai Guo, K. Kwak","doi":"10.1109/ICCT56141.2022.10072922","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072922","url":null,"abstract":"This paper proposes a decode-and-forward (DF) and reconfigurable intelligent surface (RIS) aided multiple-input single-output (MISO) (DF-RIS MISO) system to avoid the “double fading” effect introduced by RIS. The closed-form average bit error rate (ABER) of the DF-RIS MISO system is derived and the joint optimization of the active and passive beamforming and power allocation is presented to maximize the system achievable rate. Numerical simulations verify that the proposed DF-RIS MISO system enables RIS and DF to work complementary and avoid the “double fading” effect significantly. Meanwhile, the proposed system with joint beamforming and power allocation optimization achieves better achievable rate and ABER performance compared with the typical systems. Furthermore, we have discussed the best relay location in this paper as well.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"3 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":"129151342","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/ICCT56141.2022.10072650
Ningsong Zhang, Junren Shen, Yuxin Shi, Yusheng Li
Anti-jamming is a critical issue of wireless communication security, where jamming identification is an important pre-stage of anti-jamming. However, it is challenging to perform a jamming identification task in the absence of some jamming classes. To overcome this obstacle, we propose a zero-shot learning framework CNN-Zero, which aims to identify the known and unknown jamming signals. Specifically, we employ CNN to learn the potential representation of the semantic feature space of jamming signals. Then, we build a hybrid loss function consisting of attribute distance loss, cross entropy loss and reconstruction loss to ensure the semantic features have greater minimum inter-class distance than maximum intra-class distance. Finally, we build an appropriate distance measurement matrix to identify known and unknown jamming signals. Experimental results prove that compared with the supervised method using neural networks, CNN-Zero achieves a better average accuracy between eight jamming signals even in the absence of training samples.
{"title":"CNN-Zero: A Zero-Shot Learning Framework for Jamming Identification","authors":"Ningsong Zhang, Junren Shen, Yuxin Shi, Yusheng Li","doi":"10.1109/ICCT56141.2022.10072650","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10072650","url":null,"abstract":"Anti-jamming is a critical issue of wireless communication security, where jamming identification is an important pre-stage of anti-jamming. However, it is challenging to perform a jamming identification task in the absence of some jamming classes. To overcome this obstacle, we propose a zero-shot learning framework CNN-Zero, which aims to identify the known and unknown jamming signals. Specifically, we employ CNN to learn the potential representation of the semantic feature space of jamming signals. Then, we build a hybrid loss function consisting of attribute distance loss, cross entropy loss and reconstruction loss to ensure the semantic features have greater minimum inter-class distance than maximum intra-class distance. Finally, we build an appropriate distance measurement matrix to identify known and unknown jamming signals. Experimental results prove that compared with the supervised method using neural networks, CNN-Zero achieves a better average accuracy between eight jamming signals even in the absence of training samples.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"12 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":"125136722","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/ICCT56141.2022.10073106
Mengyi Qi, Qi Liu, Xuan Wei, Pengpeng Lv
Previous works mainly considered semi-passive Re-configurable intelligent surface (RIS) design with special layout arrangements, ignoring the fact that the local observed values may not reflect the overall channel when RIS elements increase. In this paper, we design a semi-passive RIS structure with a random arrangement, and propose a tensor completion-based channel estimation algorithm to recover the whole channel from the partially observed signals. Specifically, we introduce the tensor singular value decomposition (t-svd) framework to learn the inherent low-rank representation of the observed data: the search for inherent basis representations is carried out on the t-Grassmannian manifold, and the representation of low-rank tensor under this basis has a closed-form solution. As long as the proportion of active components reaches a certain level, the proposed algorithm can work well. Simulations show that the t-svd-based tensor completion algorithm performs better than the CP decomposition-based tensor completion algorithm.
{"title":"Tensor Completion-Based Channel Estimation for Semi-passive RIS Assisted System","authors":"Mengyi Qi, Qi Liu, Xuan Wei, Pengpeng Lv","doi":"10.1109/ICCT56141.2022.10073106","DOIUrl":"https://doi.org/10.1109/ICCT56141.2022.10073106","url":null,"abstract":"Previous works mainly considered semi-passive Re-configurable intelligent surface (RIS) design with special layout arrangements, ignoring the fact that the local observed values may not reflect the overall channel when RIS elements increase. In this paper, we design a semi-passive RIS structure with a random arrangement, and propose a tensor completion-based channel estimation algorithm to recover the whole channel from the partially observed signals. Specifically, we introduce the tensor singular value decomposition (t-svd) framework to learn the inherent low-rank representation of the observed data: the search for inherent basis representations is carried out on the t-Grassmannian manifold, and the representation of low-rank tensor under this basis has a closed-form solution. As long as the proportion of active components reaches a certain level, the proposed algorithm can work well. Simulations show that the t-svd-based tensor completion algorithm performs better than the CP decomposition-based tensor completion algorithm.","PeriodicalId":294057,"journal":{"name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","volume":"37 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":"129678760","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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