Pub Date : 2020-10-08DOI: 10.1109/ATC50776.2020.9255481
Hoang Dang Cuong, M. Le, N. Dinh
A reflectarray antenna of 441 unit-cells with dimensions of 112.5 mm x 112.5 mm is proposed in this paper. The unit-cell consists of a cross and a square ring. The reflectarray is illuminated by a horn antenna at the center-feed and 25 degrees offset-feed with the 3 GHz bandwidth (from 26.5 GHz to 29.5 GHz) for N257 band/5G. The shadow area of the reflectarray antenna is improved by the 25 degrees offset-fed structure with a peak gain of 26.4 dBi satisfied with the 5G base station antenna requirement.
本文提出了一种尺寸为112.5 mm × 112.5 mm的441个单元格反射天线。单元格由一个十字和一个方形环组成。反射射线由中心馈电和25度偏移馈电的喇叭天线照射，带宽为3ghz(从26.5 GHz到29.5 GHz)，适用于N257频段/5G。反射天线采用25度偏移馈电结构，提高了反射天线的阴影面积，峰值增益26.4 dBi，满足5G基站天线要求。
{"title":"A Reflectarray Antenna Using Crosses and Square Rings for 5G Millimeter-Wave Application","authors":"Hoang Dang Cuong, M. Le, N. Dinh","doi":"10.1109/ATC50776.2020.9255481","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255481","url":null,"abstract":"A reflectarray antenna of 441 unit-cells with dimensions of 112.5 mm x 112.5 mm is proposed in this paper. The unit-cell consists of a cross and a square ring. The reflectarray is illuminated by a horn antenna at the center-feed and 25 degrees offset-feed with the 3 GHz bandwidth (from 26.5 GHz to 29.5 GHz) for N257 band/5G. The shadow area of the reflectarray antenna is improved by the 25 degrees offset-fed structure with a peak gain of 26.4 dBi satisfied with the 5G base station antenna requirement.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125854326","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255447
K. Ishibashi
Energy harvesting power supply is essential for realizing IoT in the era of Trillion Sensor Universe. RF energy harvesting is a promising energy harvesting technology in which we can harvest energy anytime and anywhere if rectifier antenna (Rectenna) can harvest the energy from small power environmental RF signals. The research team of The University of Electro-Communications and Kanazawa Institute of Technology has investigated RF energy harvesting as a national project of JST/CREST to achieve high power conversion efficiency at input power range from -40 to -20dBm at various frequencies. We have investigated a super-steep transistor as a rectifier device, a meta-material antenna, and Rectenna design methodology, as well as high communication rate back scatter RF TAG as a new application. We have achieved 40% efficiency at -30dBm input power from environment AM radio signal, 72% efficiency at -30dBm and 900MHz CW RF signal, and 78% efficiency at -30dBm and 2.4GHz RF signal. We also have been successful to harvest 2.77uW power from -20dBm and 950MHz environment cell phone signal from a base station.
{"title":"Energy Harvesting from Environment RF for IoT Applications","authors":"K. Ishibashi","doi":"10.1109/ATC50776.2020.9255447","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255447","url":null,"abstract":"Energy harvesting power supply is essential for realizing IoT in the era of Trillion Sensor Universe. RF energy harvesting is a promising energy harvesting technology in which we can harvest energy anytime and anywhere if rectifier antenna (Rectenna) can harvest the energy from small power environmental RF signals. The research team of The University of Electro-Communications and Kanazawa Institute of Technology has investigated RF energy harvesting as a national project of JST/CREST to achieve high power conversion efficiency at input power range from -40 to -20dBm at various frequencies. We have investigated a super-steep transistor as a rectifier device, a meta-material antenna, and Rectenna design methodology, as well as high communication rate back scatter RF TAG as a new application. We have achieved 40% efficiency at -30dBm input power from environment AM radio signal, 72% efficiency at -30dBm and 900MHz CW RF signal, and 78% efficiency at -30dBm and 2.4GHz RF signal. We also have been successful to harvest 2.77uW power from -20dBm and 950MHz environment cell phone signal from a base station.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115334990","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255478
Van-Hung Le, Van-Nam Hoang, Hai Vu, Thi-Lan Le, Thanh-Hai Tran, V. Vu
Recently, understanding hand and object manipulation is an active topic in First-Person Vision (FPV) community. In this study, we present an initial study on estimating 3-D hand joints using the state-of-the-art neuronal network. We firstly propose a pre-processing step that is to separate hand regions from clustered background. We deploy the completed pipeline for estimating 3-D hand joints based on HandPointNet (HPN). HPN demonstrates the state-of-the-art hand pose estimation performances with depth data. We deploy a fine-tuning scheme to Hand PointNet (HPN) on the CVAR [1], UCI-EGO [2] datasets for 3D hand pose estimation. In the experimental results, we evaluate the estimated results using the pre-processing step to see the effectiveness of the proposed method. The results show that 3-D joint estimation errors are decreased comparing with the full hand data on different datasets as MSRA, NYU, ICVL. Particularly, we measure the estimation errors of missing, obscured data. The experimental results infer that, it is still existing a big gap between the results of un-occluded and occluded cases. Based on this initial study, we tend to investigate more deeply the techniques addressing the object occlusions or self-occlusions cases that make the current networks hard to localize hidden joints/parts of the hand.
{"title":"Hand PointNet-based 3D Hand Pose Estimation in Egocentric RGB-D Images","authors":"Van-Hung Le, Van-Nam Hoang, Hai Vu, Thi-Lan Le, Thanh-Hai Tran, V. Vu","doi":"10.1109/ATC50776.2020.9255478","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255478","url":null,"abstract":"Recently, understanding hand and object manipulation is an active topic in First-Person Vision (FPV) community. In this study, we present an initial study on estimating 3-D hand joints using the state-of-the-art neuronal network. We firstly propose a pre-processing step that is to separate hand regions from clustered background. We deploy the completed pipeline for estimating 3-D hand joints based on HandPointNet (HPN). HPN demonstrates the state-of-the-art hand pose estimation performances with depth data. We deploy a fine-tuning scheme to Hand PointNet (HPN) on the CVAR [1], UCI-EGO [2] datasets for 3D hand pose estimation. In the experimental results, we evaluate the estimated results using the pre-processing step to see the effectiveness of the proposed method. The results show that 3-D joint estimation errors are decreased comparing with the full hand data on different datasets as MSRA, NYU, ICVL. Particularly, we measure the estimation errors of missing, obscured data. The experimental results infer that, it is still existing a big gap between the results of un-occluded and occluded cases. Based on this initial study, we tend to investigate more deeply the techniques addressing the object occlusions or self-occlusions cases that make the current networks hard to localize hidden joints/parts of the hand.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122549339","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255443
P. Dat, A. Kanno, N. Yamamoto, T. Kawanishi
In this paper, we present high-speed, low latency, and flexible transport systems for 5G and beyond networks using an orchestration of different transmission mediums, including fiber-optic, free-space optics (FSO), and millimeter-wave (MMW). We introduce the system concepts and review our recent proof-of-concept demonstration results for each system. We also present a hybrid FSO and MMW system for highly resilient and reliable mobile transport in ultra-dense small cell networks.
{"title":"Orchestration of Wired and Wireless Systems for Future Mobile Transport Network","authors":"P. Dat, A. Kanno, N. Yamamoto, T. Kawanishi","doi":"10.1109/ATC50776.2020.9255443","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255443","url":null,"abstract":"In this paper, we present high-speed, low latency, and flexible transport systems for 5G and beyond networks using an orchestration of different transmission mediums, including fiber-optic, free-space optics (FSO), and millimeter-wave (MMW). We introduce the system concepts and review our recent proof-of-concept demonstration results for each system. We also present a hybrid FSO and MMW system for highly resilient and reliable mobile transport in ultra-dense small cell networks.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122042321","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255428
Khac Son Nguyen, Thuan Bui Bach, Manh Cuong Bui, H. T. Tran Thi, Khac Kiem Nguyen, S. Ta, Chien Dao Ngoc
This paper proposes a design of low profile, wideband 3D metamaterial artificial magnetic conductor (AMC) structure synthesized genetic programming (GP) algorithm. Metallic 3D patterns are created in four corners of a substrate layers and the patterning in the unit cell is admitted to extending into unit cells, thus achieving a high frequency response with much smaller unit cell size and thickness. This research has been successfully designed with the reflection phase ±90° with the bandwidth of the AMC metamaterial is 9.5 – 10.5GHz with the center frequency of 10 GHz (0° reflection phase). This work shows the great potential of the application with anti-reflection surfaces and low-radar cross section (RCS) platforms.
{"title":"Genetic Programming for automated Synthesizing 3D Artificial Magnetic Conductor","authors":"Khac Son Nguyen, Thuan Bui Bach, Manh Cuong Bui, H. T. Tran Thi, Khac Kiem Nguyen, S. Ta, Chien Dao Ngoc","doi":"10.1109/ATC50776.2020.9255428","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255428","url":null,"abstract":"This paper proposes a design of low profile, wideband 3D metamaterial artificial magnetic conductor (AMC) structure synthesized genetic programming (GP) algorithm. Metallic 3D patterns are created in four corners of a substrate layers and the patterning in the unit cell is admitted to extending into unit cells, thus achieving a high frequency response with much smaller unit cell size and thickness. This research has been successfully designed with the reflection phase ±90° with the bandwidth of the AMC metamaterial is 9.5 – 10.5GHz with the center frequency of 10 GHz (0° reflection phase). This work shows the great potential of the application with anti-reflection surfaces and low-radar cross section (RCS) platforms.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128790398","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255432
HuuCuong Thieu, MinhNghia Pham
This paper proposes a method of optimizing polarization channels to improve accuracy in forest parameter retrieval using PolInSAR images. The forest parameters extracted by the proposed method are implemented through three stages. The topographic phase and the range of mean extinction coefficients can be determined in the first two stages by searching optimal polarization channels. The forest height is retrieved in the final stage based on the determination of a complex coherence coefficient for direct scattering component from canopy layer. The effectiveness of the proposed method was assessed with simulation data from PolSARprosim 5.2 software. Experimental results show that the proposed method has improved the accuracy of the estimated forest height compared to the Tayebe’s Method by roughly 6.85%.
{"title":"Optimal Polarization Channel Method for Estimating Forest Height From PolInSAR Images","authors":"HuuCuong Thieu, MinhNghia Pham","doi":"10.1109/ATC50776.2020.9255432","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255432","url":null,"abstract":"This paper proposes a method of optimizing polarization channels to improve accuracy in forest parameter retrieval using PolInSAR images. The forest parameters extracted by the proposed method are implemented through three stages. The topographic phase and the range of mean extinction coefficients can be determined in the first two stages by searching optimal polarization channels. The forest height is retrieved in the final stage based on the determination of a complex coherence coefficient for direct scattering component from canopy layer. The effectiveness of the proposed method was assessed with simulation data from PolSARprosim 5.2 software. Experimental results show that the proposed method has improved the accuracy of the estimated forest height compared to the Tayebe’s Method by roughly 6.85%.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126593151","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 : 2020-10-08DOI: 10.1109/atc50776.2020.9255483
{"title":"ATC 2020 Subject Index Page","authors":"","doi":"10.1109/atc50776.2020.9255483","DOIUrl":"https://doi.org/10.1109/atc50776.2020.9255483","url":null,"abstract":"","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130951970","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255459
C. D. Nguyen, Nghia Xuan Pham, Cuong Chinh Duong, Luong Cong Nguyen
The principal target of this study is to enhance the performance of the 4-level holographic data storage (HDS) systems by using a well-suited modulation code scheme. The HDS system is one of the most promising approaches for storing massive digital data for the next-generation optical data storage systems. However, the performance of retrieving data in the HDS system is severely affected by fatal interference (FI) patterns. The proposed coding design aims to get rid of all FI patterns during the recording procedure with reasonable computational complexity.
{"title":"Multilevel Modulation Coding For Four-Level Holographic Data Storage Systems","authors":"C. D. Nguyen, Nghia Xuan Pham, Cuong Chinh Duong, Luong Cong Nguyen","doi":"10.1109/ATC50776.2020.9255459","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255459","url":null,"abstract":"The principal target of this study is to enhance the performance of the 4-level holographic data storage (HDS) systems by using a well-suited modulation code scheme. The HDS system is one of the most promising approaches for storing massive digital data for the next-generation optical data storage systems. However, the performance of retrieving data in the HDS system is severely affected by fatal interference (FI) patterns. The proposed coding design aims to get rid of all FI patterns during the recording procedure with reasonable computational complexity.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117333152","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255457
Maghsoud Morshedi, Josef Noll
Deployment of Wi-Fi networks increases considerably as a last hop for Internet access in homes and buildings. Wi-Fi as a best-effort network cannot satisfy user expectations for carrier-grade quality and today, users consider Internet service providers responsible for Wi-Fi quality degradation. Thus, notion of perceived quality of service (PQoS) and quality of experience (QoE) have been extensively used as quality indicators of user satisfaction. This paper provides a review of state-of-the-art literature to investigate machine learning techniques for estimating PQoS in Wi-Fi networks. In this paper, only literature that attempted to estimate QoE based on network performance parameters on Wi-Fi networks have been investigated and categorized based on their problem area and machine learning techniques. The review indicated promising achievements using machine learning techniques to identify wireless problems and accordingly improve the quality. However, estimation of PQoS requires further research with recent IEEE 802.11 technology advancements and machine learning approaches.
{"title":"A Survey on Prediction of PQoS Using Machine Learning on Wi-Fi Networks","authors":"Maghsoud Morshedi, Josef Noll","doi":"10.1109/ATC50776.2020.9255457","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255457","url":null,"abstract":"Deployment of Wi-Fi networks increases considerably as a last hop for Internet access in homes and buildings. Wi-Fi as a best-effort network cannot satisfy user expectations for carrier-grade quality and today, users consider Internet service providers responsible for Wi-Fi quality degradation. Thus, notion of perceived quality of service (PQoS) and quality of experience (QoE) have been extensively used as quality indicators of user satisfaction. This paper provides a review of state-of-the-art literature to investigate machine learning techniques for estimating PQoS in Wi-Fi networks. In this paper, only literature that attempted to estimate QoE based on network performance parameters on Wi-Fi networks have been investigated and categorized based on their problem area and machine learning techniques. The review indicated promising achievements using machine learning techniques to identify wireless problems and accordingly improve the quality. However, estimation of PQoS requires further research with recent IEEE 802.11 technology advancements and machine learning approaches.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121987617","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 : 2020-10-08DOI: 10.1109/ATC50776.2020.9255460
Bao Bui Quoc, Phu Nguyen, Trang Hoang
This paper presents the design of a DSP chip including the design of CPU architecture, instruction set, bus architecture, memory interface, and peripherals. CPU named as P10 in this article has 05 stages: Fetch, Decode, Read, Execute, Write (08 phases independent). In addition, a coprocessor (Floating Point Unit) that performs floating point 32-bit is also integrated into our design. The bus used in our work includes three protocols: APB, AHB, and AXI. Furthermore, memory M10 have up to 4GB for data space and 4MB for program space. Testing environment and secure router hardware are designed and built to verify our design on FPGA, and ASIC flow with library 65nm TSMC technology.
{"title":"A Design of DSP, CPU architecture on FPGA for secure routers","authors":"Bao Bui Quoc, Phu Nguyen, Trang Hoang","doi":"10.1109/ATC50776.2020.9255460","DOIUrl":"https://doi.org/10.1109/ATC50776.2020.9255460","url":null,"abstract":"This paper presents the design of a DSP chip including the design of CPU architecture, instruction set, bus architecture, memory interface, and peripherals. CPU named as P10 in this article has 05 stages: Fetch, Decode, Read, Execute, Write (08 phases independent). In addition, a coprocessor (Floating Point Unit) that performs floating point 32-bit is also integrated into our design. The bus used in our work includes three protocols: APB, AHB, and AXI. Furthermore, memory M10 have up to 4GB for data space and 4MB for program space. Testing environment and secure router hardware are designed and built to verify our design on FPGA, and ASIC flow with library 65nm TSMC technology.","PeriodicalId":218972,"journal":{"name":"2020 International Conference on Advanced Technologies for Communications (ATC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124097089","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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