2022 International Conference on Advanced Technologies for Communications (ATC)最新文献_第2页

Gold Coated Photonic Crystal Fiber-Based Biosensor for Pathogenic Bacteria Detection 基于金涂层光子晶体光纤的病原菌检测生物传感器

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942983

Emranul Haque, A. Noman, Md. Billal Hossain, N. H. Hai, Feroz Ahmed

引用次数: 0

FFD: A Full-Stack Federated Distillation method for Heterogeneous Massive IoT Networks 面向异构海量物联网网络的全栈联邦蒸馏方法

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943034

Minh-Duong Nguyen, Hong-Son Luong, Tung-Nguyen, Viet Quoc Pham, Q. Do, W. Hwang

{"title":"FFD: A Full-Stack Federated Distillation method for Heterogeneous Massive IoT Networks","authors":"Minh-Duong Nguyen, Hong-Son Luong, Tung-Nguyen, Viet Quoc Pham, Q. Do, W. Hwang","doi":"10.1109/ATC55345.2022.9943034","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943034","url":null,"abstract":"Data imbalance and complexity are the key challenges of applying federated learning (FL) techniques for wireless networks. In this paper, we propose a novel framework inspired by a divide-and-conquer algorithm. We aim to develop a full-stack federated distillation (FFD) method for federated learning over a massive Internet of Things network. We first divide the network into sub-regions that can be represented by a neural network model. After performing local training, these models are then aggregated into a global model by using a novel knowledge-distillation method. This FFD method allows each local model to be efficiently updated by learning the features of the other models. Furthermore, this method can be easily deployed in new and large-scaled environments without requiring the models to be re-trained from scratch. Finally, we conduct extensive simulations to evaluate the performance of the proposed FFD method. The results show that our solution outperforms many contemporary FL techniques with non-IID (i.e., not independent and identically distributed) and imbalanced data.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129100331","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}

引用次数: 0

Modified Noisy Gradient Descent Bit-Flipping Decoding Algorithms for LDPC Codes LDPC码的改进噪声梯度下降翻转译码算法

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942999

Yidong Li, W. M. Tam, F. Lau

引用次数: 0

A Null Synthesis Technique-Based Beamformer for Uniform Rectangular Arrays 基于零合成技术的均匀矩形阵列波束形成器

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942965

Kha M. Hoang, Luyen Van Tong, Cuong Van Nguyen

引用次数: 2

High-Accuracy Heart Rate Estimation By Half/Double BBI Moving Average and Data Recovery Algorithm of 24GHz CW-Doppler Radar 24GHz CW-Doppler雷达半/双BBI移动平均的高精度心率估计及数据恢复算法

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943010

Nguyen Huu Son, H. Yen, G. Sun, K. Ishibashi

{"title":"High-Accuracy Heart Rate Estimation By Half/Double BBI Moving Average and Data Recovery Algorithm of 24GHz CW-Doppler Radar","authors":"Nguyen Huu Son, H. Yen, G. Sun, K. Ishibashi","doi":"10.1109/ATC55345.2022.9943010","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943010","url":null,"abstract":"Due to the new trend on non-contact monitoring of vital signs and cardiopulmonary activity, Doppler radar is getting more attention as a promising technology. This medical radar tracks small movements on the human's body-surface to measure several vital parameters such as heart rate and respiration rate. However, because radar signals are susceptible to body movement and breathing effects, using simple signal processing methods can be challenging to provide accurate results. In this study, we propose a time-domain signal processing algorithm that combines Digital filters and a zero-crossing algorithm to extract the heart rate accurately. This algorithm comprises two processes: Heart rate extraction by Half/Double beat-to-beat intervals (BBIs) Moving average filters and Heartbeat refinement by IIR filter, zero-crossing detection and Data recovery algorithm. To evaluate the algorithm's accuracy, we measured the cardiopulmonary information of 10 healthy subjects in the supine position, and these subjects also wore an electrocardiograph (ECG) contact sensor to provide reference data. The proposed method has considerable advantages due to the compact model and low computational cost while still providing a significant correlation compared with ECG when the coefficient R = 0.998.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114160346","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}

引用次数: 1

Performance of Triple Mixed-ADC Large-Scale MIMO Detector Using Deep Learning 基于深度学习的三重混合adc大规模MIMO检测器性能研究

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943026

A. Pham, Duc-Tuong Hoang, Hieu T. Nguyen

{"title":"Performance of Triple Mixed-ADC Large-Scale MIMO Detector Using Deep Learning","authors":"A. Pham, Duc-Tuong Hoang, Hieu T. Nguyen","doi":"10.1109/ATC55345.2022.9943026","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943026","url":null,"abstract":"Large-scale multiple-input multiple-output (MIMO) transmission has been widely proposed for the current and future communication systems since this transmission technique opens up new options to expand the system capacity and quality of services for the radio networks. One-bit analog-to-digital converters (ADCs) and mixed-resolution ADCs are emerging techniques to reduce the power consumption and hardware cost when an enormous number of receive antennas are employed in the system. In this paper, we present the performance of the deep-learning-based detection of the triple mixed-ADC system, where the receiver side splits the set of receive antennas into three subsets and utilizes the extremely low-resolution, low-resolution, and high-resolution ADCs in those three subsets. We present the triple mixed-ADC complex channel and show the derivation to convert such a complex channel model to the equivalent real binary channel model to leverage the previous Deep Learning framework for detecting the large-scale MIMO signal. The model for the triple mixed-ADC is trained and tested successfully, and the experiment results show the advantages of the proposed triple mixed-ADC system over the single ADC and dual mixed ADC systems.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123771856","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}

引用次数: 0

Low-power LoRaWAN Extender Using Multiple Relays: Design and Evaluation 采用多中继的低功耗LoRaWAN扩展器:设计与评估

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9942993

M. Nguyen, Van Lie Tran, F. Ferrero, L. Trinh

{"title":"Low-power LoRaWAN Extender Using Multiple Relays: Design and Evaluation","authors":"M. Nguyen, Van Lie Tran, F. Ferrero, L. Trinh","doi":"10.1109/ATC55345.2022.9942993","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942993","url":null,"abstract":"Long Range Wide Area Network (LoRaWAN) has been largely developed and applied for many Internet of Things (IoT) applications with wide coverage and low-power consumption. However, for environment with many obstacles and blind spots, the classical star network has limitation in area coverage. The present study was undertaken to evaluate the LoRaWAN extender using multiple relays in terms of coverage ability, performance, and power consumption. In this research, the design and implementation of a multiple relay system compatible with the LoRaWAN protocol is studied to extend the coverage of a classical LoRaWAN gateway. The relay can have multiple years of operation with a compact battery. These relays were deployed along a deep river will complex terrain that the gateway can not fully cover. The longest distance of each relay was recorded so that the packets sent by the previous relay were still received by the next relay, the packet loss ratio and latency were calculated to evaluate the performance, and power consumption was measured by using a power analyzer. The results show the effectiveness and feasibility of the proposed design for multiple relays to extend the LoRaWAN network.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133718213","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}

引用次数: 0

Design of Ultra-Wideband Tapered Slot Antenna Using Novel Feeding Structure 基于新型馈电结构的超宽带锥形缝隙天线设计

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943020

Huy Ho-Sy-Nhat, Phuong-Linh Hoang, S. Ta, Khac Kiem Nguyen, Chien Dao-Ngoc

引用次数: 0

On Design of Tanner-Graph Detector For Triple Mixed-ADC Large-Scale MIMO Systems 三阶混合adc大规模MIMO系统鞣革图检测器的设计

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/ATC55345.2022.9943014

Hieu T. Nguyen, Duc A. Hoang, H. D. Ngoc, Thang Le Nhat

{"title":"On Design of Tanner-Graph Detector For Triple Mixed-ADC Large-Scale MIMO Systems","authors":"Hieu T. Nguyen, Duc A. Hoang, H. D. Ngoc, Thang Le Nhat","doi":"10.1109/ATC55345.2022.9943014","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943014","url":null,"abstract":"Large-scale multiple-input multiple-output (MIMO) transmission is a widely adopted technique for the current and future communication systems as it offers possibilities to increase the system capacity and quality of services for the radio networks. One-bit analog-to-digital converters (ADCs) and mixed-resolution ADCs have been proposed to reduce the power consumption and hardware cost when a large number of receive antennas are proposed to use in the system. In this paper, we introduce a triple mixed-ADC system, where the receiver side partitions the set of receive antennas into three subsets and utilizes the extremely low-resolution, low-resolution, and high-resolution ADCs to those three subsets. The core idea of this proposal is to use a large portion of receive antennas with 1-bit and 2-bit ADCs, which were proven to have the best energy efficiency, and only a small number of antennas are equipped with 5-bit ADCs, instead of conventional resolution of from 10 to 12 bits, to save power consumption of the ADCs. Additionally, the proposed triple mixed-ADC system offers more options to tune for performance improvement. The experiment results verify the advantages of the triple mixed-ADC system over the single low-resolution ADC and dual mixed-ADC systems in all considered test cases.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123217029","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}

引用次数: 0

A new type of ultimate-Shannon-limit channel codes 一种新型的极限-香农极限信道码

2022 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2022-10-20 DOI: 10.1109/atc55345.2022.9943021

F. Lau

引用次数: 0