Pub Date : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774492
Yung-Feng Lu, Hung-Ming Chen, Meng-Ju Zhong, Zong-Yan Dai
Network slicing as a core concept in 5G mobile networks can meets today's diverse mobile network service usage scenarios through virtualization technology. In addition, the network slice management system can provide multiple tenants to manage the lifecycle of 5G network slices. However, when running network slices in an unsecured environment, attackers can illegally break into network slices and steal network service information through security vulnerabilities. And, attackers can even threaten network slices that are not fully isolated from each other, creating security concerns. In order to prevent security risks to the users of network slice management system and to implement multi-tenant management,a soft isolation mechanism between network slices based on Kubernetes-based NFV MANO system is designed to avoid the above problems and achieve the availability and security of network slices.
{"title":"Design of a Soft Isolation Mechanism for Kubernetes-Based Multi-Tenant NFV Platform","authors":"Yung-Feng Lu, Hung-Ming Chen, Meng-Ju Zhong, Zong-Yan Dai","doi":"10.1109/ICASI55125.2022.9774492","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774492","url":null,"abstract":"Network slicing as a core concept in 5G mobile networks can meets today's diverse mobile network service usage scenarios through virtualization technology. In addition, the network slice management system can provide multiple tenants to manage the lifecycle of 5G network slices. However, when running network slices in an unsecured environment, attackers can illegally break into network slices and steal network service information through security vulnerabilities. And, attackers can even threaten network slices that are not fully isolated from each other, creating security concerns. In order to prevent security risks to the users of network slice management system and to implement multi-tenant management,a soft isolation mechanism between network slices based on Kubernetes-based NFV MANO system is designed to avoid the above problems and achieve the availability and security of network slices.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116712071","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 : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774451
Jiawei Wu, Shen-Ming Chung, Peng-Sheng Chen
The trade-off between sharing and privacy is an important issue in data analysis. Secure multi-party computation (MPC) involves all parties jointly performing a computation without revealing their own data. R is a popular domain-specific programming language for data analysis. This paper develops an MPC-enabled R framework that allows data from different data owners to be analyzed and computed without revealing the data themselves. A programming model is proposed to support MPC on an R framework. A third-party library, ABY, is used to provide the ability for MPC. The interface between C/C++ and R is studied in order to integrate the ABY library. In addition, an ABY wrapper is developed to alleviate programmers’ workloads. An experimental application demonstrates that the proposed programming model can correctly complete secure computation for the tested benchmark programs.
{"title":"Supporting Secure Multi-party Computation for R Framework","authors":"Jiawei Wu, Shen-Ming Chung, Peng-Sheng Chen","doi":"10.1109/ICASI55125.2022.9774451","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774451","url":null,"abstract":"The trade-off between sharing and privacy is an important issue in data analysis. Secure multi-party computation (MPC) involves all parties jointly performing a computation without revealing their own data. R is a popular domain-specific programming language for data analysis. This paper develops an MPC-enabled R framework that allows data from different data owners to be analyzed and computed without revealing the data themselves. A programming model is proposed to support MPC on an R framework. A third-party library, ABY, is used to provide the ability for MPC. The interface between C/C++ and R is studied in order to integrate the ABY library. In addition, an ABY wrapper is developed to alleviate programmers’ workloads. An experimental application demonstrates that the proposed programming model can correctly complete secure computation for the tested benchmark programs.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129311536","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 : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774487
Qinglin Hong, Chia Dai, Hui-Chun Hsu, Zong-Tai Wu, J. Hung
This study aims to improve the source separation technique, DEMUCS, by revising the respective loss function. DEMUCS, developed by Facebook Team, is built on the Wave-U-Net and consists of convolutional layer encoding and decoding blocks with an LSTM layer in between. The applied loss function in DEMUCS contains wave-domain L1 distance and multi-scale short-time-Fourier-transform (STFT) loss.We present to revise the original loss by considering the perceptual metric scores, including perceptual speech quality (PESQ) and short-time objective intelligibility (STOI). The new loss function becomes a weighted sum of the original loss and the losses of STOI and PESQ, hoping to highlight the perceptual quality of the enhanced utterances.According to the preliminary experiments conducted on the VoiceBank-DEMUCS task, the DEMUCS network with the modified loss function provides the noise-corrupted utterances with superior objective perceptual metric scores (PESQ and STOI). These results indicate that the presented work benefits DEMUCS in speech enhancement performance.
{"title":"Leveraging the perceptual metric loss to improve the DEMUCS system in speech enhancement","authors":"Qinglin Hong, Chia Dai, Hui-Chun Hsu, Zong-Tai Wu, J. Hung","doi":"10.1109/ICASI55125.2022.9774487","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774487","url":null,"abstract":"This study aims to improve the source separation technique, DEMUCS, by revising the respective loss function. DEMUCS, developed by Facebook Team, is built on the Wave-U-Net and consists of convolutional layer encoding and decoding blocks with an LSTM layer in between. The applied loss function in DEMUCS contains wave-domain L1 distance and multi-scale short-time-Fourier-transform (STFT) loss.We present to revise the original loss by considering the perceptual metric scores, including perceptual speech quality (PESQ) and short-time objective intelligibility (STOI). The new loss function becomes a weighted sum of the original loss and the losses of STOI and PESQ, hoping to highlight the perceptual quality of the enhanced utterances.According to the preliminary experiments conducted on the VoiceBank-DEMUCS task, the DEMUCS network with the modified loss function provides the noise-corrupted utterances with superior objective perceptual metric scores (PESQ and STOI). These results indicate that the presented work benefits DEMUCS in speech enhancement performance.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131930812","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 : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774473
Su-Hua Yang, Shun-Ming Liao, Chia-Ho Wang
The carbon dots (CDs) blended ZnAl2O4:Eu3+ composite was prepared by adding the CDs solution to the precursor during the sol-gel process. A spectral overlap between the photoluminescence (PL) of the CDs and PL excitation of the phosphor was observed. Excitation energy could be effectively transferred from the CDs to the phosphor for emission. In addition, the CDs functioned as a flux, which improved the crystallinity of the phosphor and resulted in enhanced red emission.
{"title":"Enhancement on Luminescence of ZnAl2O4:Eu3+ Phosphor with Carbon Dots Addition","authors":"Su-Hua Yang, Shun-Ming Liao, Chia-Ho Wang","doi":"10.1109/ICASI55125.2022.9774473","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774473","url":null,"abstract":"The carbon dots (CDs) blended ZnAl2O4:Eu3+ composite was prepared by adding the CDs solution to the precursor during the sol-gel process. A spectral overlap between the photoluminescence (PL) of the CDs and PL excitation of the phosphor was observed. Excitation energy could be effectively transferred from the CDs to the phosphor for emission. In addition, the CDs functioned as a flux, which improved the crystallinity of the phosphor and resulted in enhanced red emission.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126780595","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 : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774477
Ting-Hui Chiang, Po-Yi Kuo, H. Shiu, Y. Tseng
Both cameras and IoT devices have their particular capabilities in tracking human behaviors and statuses. Their correlations are, however, unclear. In this work, we propose a framework for integrating video and wearable sensing data for smart surveillance, such as person identification and tracking. Using biometric features such as fingerprint, iris, gait, and face may lead to good recognition results. However, these approaches all have their limitations in distance and privacy concerns. In this work, we present a data fusion framework based on deep learning for fusing the aforementioned data. Here, using deep learning is to help adaptively learn the hidden bindings of these data. We demonstrate how to retrieve data of interest from IoT devices, which are attached on human objects, and correctly tag them on the human objects captured by a camera, thus correlating video and IoT data. Potential applications of this framework include smart surveillance and friendly visualization. We then show a case study, including integrating video data with body movement and physiological data.
{"title":"A Framework for Fusing Video and Wearable Sensing Data by Deep Learning","authors":"Ting-Hui Chiang, Po-Yi Kuo, H. Shiu, Y. Tseng","doi":"10.1109/ICASI55125.2022.9774477","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774477","url":null,"abstract":"Both cameras and IoT devices have their particular capabilities in tracking human behaviors and statuses. Their correlations are, however, unclear. In this work, we propose a framework for integrating video and wearable sensing data for smart surveillance, such as person identification and tracking. Using biometric features such as fingerprint, iris, gait, and face may lead to good recognition results. However, these approaches all have their limitations in distance and privacy concerns. In this work, we present a data fusion framework based on deep learning for fusing the aforementioned data. Here, using deep learning is to help adaptively learn the hidden bindings of these data. We demonstrate how to retrieve data of interest from IoT devices, which are attached on human objects, and correctly tag them on the human objects captured by a camera, thus correlating video and IoT data. Potential applications of this framework include smart surveillance and friendly visualization. We then show a case study, including integrating video data with body movement and physiological data.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128952501","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 : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774459
Chih-Feng Yen, Shen-Hao Tsao, Yu-Ya Huang, H. Hsu
The Liquid Phase Deposition (LPD) method has many advantages such as no need to perform in a vacuum environment, low cost, low process temperature, large area deposition and good step coverage. In this paper a silicon oxynitride (SiON) film was fabricated by LPD method and deposited on p-Si (100) Substrate. The films were successfully prepared by adding 8 ml of NH4OH and post deposition annealing under nitrogen atmosphere. Combining different annealing temperatures (500, 600, 700 °C), we got that the maximum Cox of 129.87 pF, k value of 7.95 and a low density of interfacial states (Dit) of 8.02 × 1010 cm-2eV-1 and can be obtained at an annealing temperature of 700 °C and the lowest leakage current density of 3.6 × 10-1 A/cm2 can be obtained when biased at -5 V which leads us to consider the film as a high k material that is expected to replace conventional SiO2.
{"title":"Fabrication and characteristics of SiON/p-Si by non-vacuumed deposition technology","authors":"Chih-Feng Yen, Shen-Hao Tsao, Yu-Ya Huang, H. Hsu","doi":"10.1109/ICASI55125.2022.9774459","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774459","url":null,"abstract":"The Liquid Phase Deposition (LPD) method has many advantages such as no need to perform in a vacuum environment, low cost, low process temperature, large area deposition and good step coverage. In this paper a silicon oxynitride (SiON) film was fabricated by LPD method and deposited on p-Si (100) Substrate. The films were successfully prepared by adding 8 ml of NH<inf>4</inf>OH and post deposition annealing under nitrogen atmosphere. Combining different annealing temperatures (500, 600, 700 °C), we got that the maximum C<inf>ox</inf> of 129.87 pF, k value of 7.95 and a low density of interfacial states (D<inf>it</inf>) of 8.02 × 10<sup>10</sup> cm<sup>-2</sup>eV<sup>-1</sup> and can be obtained at an annealing temperature of 700 °C and the lowest leakage current density of 3.6 × 10<sup>-1</sup> A/cm<sup>2</sup> can be obtained when biased at -5 V which leads us to consider the film as a high k material that is expected to replace conventional SiO<inf>2</inf>.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875773","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 : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774456
S. Young, Yu-Jhih Chu
Zinc oxide (ZnO) is II-VI group oxide semicondutor material. It has many excellent material properties, including Chemical stability, thermal stability and optical stability. Moreover, it is also low production cost and easy to produce. Therefore, it has attracted the attention of scientists. Recently, noble metals nanoparticles (NPs) adsorb on ZnO nanostructure can improve the electrical characteristics. In the work, we will be prepared ZnO NRs and Pt NPs deposited on surface of ZnO (Pt/ZnO) NRs to apply in field electron emitter. The current density of the Pt/ZnO sample increased sharply as electric field increased to 2.52 V/μm and the field-enhancement factors β was 1924.98.
{"title":"Pt nanoparticles deposited on ZnO Nanorods based on Field emitter","authors":"S. Young, Yu-Jhih Chu","doi":"10.1109/ICASI55125.2022.9774456","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774456","url":null,"abstract":"Zinc oxide (ZnO) is II-VI group oxide semicondutor material. It has many excellent material properties, including Chemical stability, thermal stability and optical stability. Moreover, it is also low production cost and easy to produce. Therefore, it has attracted the attention of scientists. Recently, noble metals nanoparticles (NPs) adsorb on ZnO nanostructure can improve the electrical characteristics. In the work, we will be prepared ZnO NRs and Pt NPs deposited on surface of ZnO (Pt/ZnO) NRs to apply in field electron emitter. The current density of the Pt/ZnO sample increased sharply as electric field increased to 2.52 V/μm and the field-enhancement factors β was 1924.98.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130766388","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}
The concept of smart cabin is to offer better safety, comfort and ride the experience for vehicle drivers. In order to make this concept realize better, an array of advanced human interface (HMI) is always needed. In general, the HMI will transmit control signal either through the CAN bus, LIN bus or both to control end devices or instrumentation. This paper presents a LIN bus touchpad system (LBTS), which enables safe and efficient devices (headlight, taillight and cooling fan) access as well as control of their operating parameters.In this LBTS, the touch pad signal processing system is designed with a LIN bus based controller CS8975 developed by the company ISSI we collaborated. A high performance STM32 Nucleo-64 board is used to realize the LIN master node, dealing with the control of the LIN message sequence. With this proposed LBTS, the interior design for the smart human-centric cabin can be more flexible and innovative.
{"title":"LIN Bus Based Touchpad System for Smart Vehicle Cabin","authors":"Bvp Prasad, Ruicheng Gao, Tang Jing-Jou, Hao Chen Jhen","doi":"10.1109/ICASI55125.2022.9774481","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774481","url":null,"abstract":"The concept of smart cabin is to offer better safety, comfort and ride the experience for vehicle drivers. In order to make this concept realize better, an array of advanced human interface (HMI) is always needed. In general, the HMI will transmit control signal either through the CAN bus, LIN bus or both to control end devices or instrumentation. This paper presents a LIN bus touchpad system (LBTS), which enables safe and efficient devices (headlight, taillight and cooling fan) access as well as control of their operating parameters.In this LBTS, the touch pad signal processing system is designed with a LIN bus based controller CS8975 developed by the company ISSI we collaborated. A high performance STM32 Nucleo-64 board is used to realize the LIN master node, dealing with the control of the LIN message sequence. With this proposed LBTS, the interior design for the smart human-centric cabin can be more flexible and innovative.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131911027","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 : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774467
Jen-Yung Lin, Huan-Liang Tsai, Guan-Hua Lu
The paper originally presents a wireless AC power monitoring module by integrating voltage and current sensors with a WeMos D1 mini WiFi module and shows the visualization of voltage, current, electric power and energy, power factor (pf), and frequency. First, both voltage and current sensors are integrated with ATMega 328 MCU to provide voltage and current readings for AC power system. And the corresponding values of instantaneous power, electric energy, and pf are directly programmed based on the well-known AC power formulas. Then, the all AC power parameters are sent to the ESP8266 WiFi module through Tx/Rx interface and a WiFi network, and finally are displayed in the ThingSpeak IoT platform. Both accuracy and confidence of the developed AC power monitoring module are evaluated with two DM-9960 digital multi-meters (DMM) with the similarity level over 99%. The visualization of AC electric parameters in the public channel of ThingSpeak available online for monitoring AC power distribution box of the office of the Department of Computer Science and Information Engineering, Da-Yeh University in Taiwan further validates the durability of the proposed system. The results illustrate the proposed wireless AC power monitoring system has been validated with sufficient accuracy and confidence for in-situ monitoring AC power system.
{"title":"Development of Wireless AC Power-Monitoring Module","authors":"Jen-Yung Lin, Huan-Liang Tsai, Guan-Hua Lu","doi":"10.1109/ICASI55125.2022.9774467","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774467","url":null,"abstract":"The paper originally presents a wireless AC power monitoring module by integrating voltage and current sensors with a WeMos D1 mini WiFi module and shows the visualization of voltage, current, electric power and energy, power factor (pf), and frequency. First, both voltage and current sensors are integrated with ATMega 328 MCU to provide voltage and current readings for AC power system. And the corresponding values of instantaneous power, electric energy, and pf are directly programmed based on the well-known AC power formulas. Then, the all AC power parameters are sent to the ESP8266 WiFi module through Tx/Rx interface and a WiFi network, and finally are displayed in the ThingSpeak IoT platform. Both accuracy and confidence of the developed AC power monitoring module are evaluated with two DM-9960 digital multi-meters (DMM) with the similarity level over 99%. The visualization of AC electric parameters in the public channel of ThingSpeak available online for monitoring AC power distribution box of the office of the Department of Computer Science and Information Engineering, Da-Yeh University in Taiwan further validates the durability of the proposed system. The results illustrate the proposed wireless AC power monitoring system has been validated with sufficient accuracy and confidence for in-situ monitoring AC power system.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123872948","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 : 2022-04-22DOI: 10.1109/ICASI55125.2022.9774446
Hung-Ming Chen, Yung-Feng Lu, Shi Chen, Che-Jung Chang, Zhong-Xiang Zheng
In the 3GPP specification, a 5G private network plan is proposed, which is deployed for use in specific areas and enterprise application service areas. In order to provide resilient 5G private networks, 3GPP proposes to deploy network slices using NFV MANO architecture to meet the demand for various network service types. However, most enterprises do not yet have the capability to deploy and operate 5G private networks. Hence, the collaboration between mobile network operator's cloud and enterprise's edge to build a 5G private network to provide traffic at the edge will improve the quality of service of the enterprise application services. This study uses an NFV MANO architecture to deploy network slices of 5G Core Networks for cloud-edge collaboration and to design a transport network function for cross-network communication to design a 5G private network. The 5G Core Networks uses the UPF ULCL architecture to combine with the proposed NFV MANO platform to achieve 5G private cloud-edge network slicing collaboration and traffic diversion.
{"title":"Design of an NFV MANO Architecture for 5G Private Network with 5G CN Cloud-Edge Collaborative Mechanism","authors":"Hung-Ming Chen, Yung-Feng Lu, Shi Chen, Che-Jung Chang, Zhong-Xiang Zheng","doi":"10.1109/ICASI55125.2022.9774446","DOIUrl":"https://doi.org/10.1109/ICASI55125.2022.9774446","url":null,"abstract":"In the 3GPP specification, a 5G private network plan is proposed, which is deployed for use in specific areas and enterprise application service areas. In order to provide resilient 5G private networks, 3GPP proposes to deploy network slices using NFV MANO architecture to meet the demand for various network service types. However, most enterprises do not yet have the capability to deploy and operate 5G private networks. Hence, the collaboration between mobile network operator's cloud and enterprise's edge to build a 5G private network to provide traffic at the edge will improve the quality of service of the enterprise application services. This study uses an NFV MANO architecture to deploy network slices of 5G Core Networks for cloud-edge collaboration and to design a transport network function for cross-network communication to design a 5G private network. The 5G Core Networks uses the UPF ULCL architecture to combine with the proposed NFV MANO platform to achieve 5G private cloud-edge network slicing collaboration and traffic diversion.","PeriodicalId":190229,"journal":{"name":"2022 8th International Conference on Applied System Innovation (ICASI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128719105","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：