Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293783
Vanessa Tan, Franz A. de Leon
Music separation aims to extract the signals of individual sources from a given audio mixture. Recent studies explored the use of deep learning algorithms for this problem. Although these algorithms have proven to have good performance, they are inefficient as they need to learn an independent model for each sound source. In this study, we demonstrate a multi-task learning system for music separation, detection, and recovery. The proposed system separates polyphonic music into four sound sources using a single model. It also detects the presence of a source in the given mixture. Lastly, it reconstructs the input mixture to help the network further learn the audio representation. Our novel approach exploits the shared information in each task, thus, improving the separation performance of the system. It was determined that the best configuration for the multi-task learning is to separate the sources first, followed by parallel modules for classification and recovery. Quantitative and qualitative results show that the performance of our system is comparable to baselines for separation and classification.
{"title":"Multi-task Learning for Detection, Recovery, and Separation of Polyphonic Music","authors":"Vanessa Tan, Franz A. de Leon","doi":"10.1109/TENCON50793.2020.9293783","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293783","url":null,"abstract":"Music separation aims to extract the signals of individual sources from a given audio mixture. Recent studies explored the use of deep learning algorithms for this problem. Although these algorithms have proven to have good performance, they are inefficient as they need to learn an independent model for each sound source. In this study, we demonstrate a multi-task learning system for music separation, detection, and recovery. The proposed system separates polyphonic music into four sound sources using a single model. It also detects the presence of a source in the given mixture. Lastly, it reconstructs the input mixture to help the network further learn the audio representation. Our novel approach exploits the shared information in each task, thus, improving the separation performance of the system. It was determined that the best configuration for the multi-task learning is to separate the sources first, followed by parallel modules for classification and recovery. Quantitative and qualitative results show that the performance of our system is comparable to baselines for separation and classification.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128944824","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293877
Karpagavalli Subramanian, K. George
In recent years, the need for controlling an unknown plant arises in various fields like aircraft, automotive, and manufacturing industries in order to provide quicker and more accurate response in the presence of parametric uncertainties. Classical adaptive control may not as yet be able to give the desired results when the plant is unknown with time-varying parameters. In such a scenario, it is quite likely that the response of the plant grow unbounded. Moreover, adaptive control leads to better transient response only when the estimates of the plant parameters are reasonably close to that of the actual values. In this paper, we propose a two-step adaptive strategy that helps to quickly converge into that compact region wherein the plant parameters reside. Further, we demonstrate that our proposed method provides partial answers to the adaptive control of linear time-varying plants.
{"title":"A Two-Step Adaptive Strategy for Simple Time-Varying Systems","authors":"Karpagavalli Subramanian, K. George","doi":"10.1109/TENCON50793.2020.9293877","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293877","url":null,"abstract":"In recent years, the need for controlling an unknown plant arises in various fields like aircraft, automotive, and manufacturing industries in order to provide quicker and more accurate response in the presence of parametric uncertainties. Classical adaptive control may not as yet be able to give the desired results when the plant is unknown with time-varying parameters. In such a scenario, it is quite likely that the response of the plant grow unbounded. Moreover, adaptive control leads to better transient response only when the estimates of the plant parameters are reasonably close to that of the actual values. In this paper, we propose a two-step adaptive strategy that helps to quickly converge into that compact region wherein the plant parameters reside. Further, we demonstrate that our proposed method provides partial answers to the adaptive control of linear time-varying plants.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133508053","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293810
A. C. Gagula, J. R. Santillan
Drought is characterized by a deficiency or lack of rain in a specific or extended period of time resulting to water shortage affecting animals, plants, and people. In the occurrence of this phenomenon, agriculture is the most affected industry. Agriculture plays a significant role in the Philippines, considering that 32% of the country’s total area is agricultural lands; of these, 44% are permanent croplands. In the absence of precipitation, irrigation systems are constructed to supply water in agricultural areas. In Butuan City, the agriculture industry is an essential contributor to the city’s economy. Drought occurred despite the presence of a vast network of irrigation systems. There is a necessity to quantify the effectiveness of these irrigation systems. In this study, irrigation systems were evaluated using an integrated approach of geographic information system (GIS), remote sensing data (RS), and field surveys at the farm level in Butuan City. The hydraulic model simulation provides a map on the extent of water delivered by the irrigation canal, including the discharge of water that was delivered. Such maps were used to evaluate the effectiveness of the irrigation system.
{"title":"Integrating Geographic Information System, Remote Sensing Data, Field Surveys, and Hydraulic Simulations in Irrigation System Evaluation","authors":"A. C. Gagula, J. R. Santillan","doi":"10.1109/TENCON50793.2020.9293810","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293810","url":null,"abstract":"Drought is characterized by a deficiency or lack of rain in a specific or extended period of time resulting to water shortage affecting animals, plants, and people. In the occurrence of this phenomenon, agriculture is the most affected industry. Agriculture plays a significant role in the Philippines, considering that 32% of the country’s total area is agricultural lands; of these, 44% are permanent croplands. In the absence of precipitation, irrigation systems are constructed to supply water in agricultural areas. In Butuan City, the agriculture industry is an essential contributor to the city’s economy. Drought occurred despite the presence of a vast network of irrigation systems. There is a necessity to quantify the effectiveness of these irrigation systems. In this study, irrigation systems were evaluated using an integrated approach of geographic information system (GIS), remote sensing data (RS), and field surveys at the farm level in Butuan City. The hydraulic model simulation provides a map on the extent of water delivered by the irrigation canal, including the discharge of water that was delivered. Such maps were used to evaluate the effectiveness of the irrigation system.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132186329","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293921
Kotaro Mukai, I. Nakanishi
The aim of this study is to authenticate individuals using an electroencephalogram (EEG) evoked by a stimulus. EEGs are highly confidential and enable continuous authentication during the use of or access to the given information or service. However, perceivable stimulation distracts the users from the activity they are carrying out while using the service. Therefore, ultrasound stimuli were chosen for EEG evocation. In our previous study, an Equal Error Rate (EER) of 0 % was achieved; however, there were some features which had not been evaluated. In this paper, we introduce a new type of feature, namely fractal dimension, as a nonlinear feature, and evaluate its verification performance on its own and in combination with other conventional features. As a result, an EER of 0 % was achieved when using five features and 14 electrodes, which accounted for 70 support vector machine (SVM) models. However, the construction of the 70 SVM models required extensive calculations. Thus, we reduced the number of SVM models to 24 while maintaining an EER = 0 %.
{"title":"Introduction of Fractal Dimension Feature and Reduction of Calculation Amount in Person Authentication Using Evoked EEG by Ultrasound","authors":"Kotaro Mukai, I. Nakanishi","doi":"10.1109/TENCON50793.2020.9293921","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293921","url":null,"abstract":"The aim of this study is to authenticate individuals using an electroencephalogram (EEG) evoked by a stimulus. EEGs are highly confidential and enable continuous authentication during the use of or access to the given information or service. However, perceivable stimulation distracts the users from the activity they are carrying out while using the service. Therefore, ultrasound stimuli were chosen for EEG evocation. In our previous study, an Equal Error Rate (EER) of 0 % was achieved; however, there were some features which had not been evaluated. In this paper, we introduce a new type of feature, namely fractal dimension, as a nonlinear feature, and evaluate its verification performance on its own and in combination with other conventional features. As a result, an EER of 0 % was achieved when using five features and 14 electrodes, which accounted for 70 support vector machine (SVM) models. However, the construction of the 70 SVM models required extensive calculations. Thus, we reduced the number of SVM models to 24 while maintaining an EER = 0 %.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128810001","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293830
Ma. Vienna R. Lozañes, C. C. Nuñez, Ricardo O. Zapanta, Aldrin J. Soriano, M. G. Beaño, Monica B. Magnate, Oliver A. Medina
River overflowing is a common problem in the Philippines. And knowing the fact that we lack proper devices and systems to monitor the water flow makes it even more disturbing. Therefore, this project is to develop a prototype that will measure, monitor, and forecast the water level and the volume of water flowing through the riverbanks. The proponents used Agile development method includes systematic process of designing, developing the prototype, evaluating instructional programs, and system that must meet the criteria of the effectiveness of the project. The prototype consists of algorithms that is performed to have a reliable data. In measuring the river parameters, Wireless Sensor Network (WSN) Algorithm is used to interconnect the sensor nodes in different area of the riverbank. In forecasting, the device performed a machine learning by gathering raw data to run in Voting Algorithm. In monitoring, the prototype provides Cabuyao River Monitoring System (CRMS) a web-based application that uses a Decision Tree Algorithm that will give information and warning to the community. This device and system aim to give early warnings to the communities being both in a timely and systematic way, providing advanced information on its behavior to better prepare the disaster team and government.
{"title":"Web-based Riverbank Overflow Forecasting and Monitoring System","authors":"Ma. Vienna R. Lozañes, C. C. Nuñez, Ricardo O. Zapanta, Aldrin J. Soriano, M. G. Beaño, Monica B. Magnate, Oliver A. Medina","doi":"10.1109/TENCON50793.2020.9293830","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293830","url":null,"abstract":"River overflowing is a common problem in the Philippines. And knowing the fact that we lack proper devices and systems to monitor the water flow makes it even more disturbing. Therefore, this project is to develop a prototype that will measure, monitor, and forecast the water level and the volume of water flowing through the riverbanks. The proponents used Agile development method includes systematic process of designing, developing the prototype, evaluating instructional programs, and system that must meet the criteria of the effectiveness of the project. The prototype consists of algorithms that is performed to have a reliable data. In measuring the river parameters, Wireless Sensor Network (WSN) Algorithm is used to interconnect the sensor nodes in different area of the riverbank. In forecasting, the device performed a machine learning by gathering raw data to run in Voting Algorithm. In monitoring, the prototype provides Cabuyao River Monitoring System (CRMS) a web-based application that uses a Decision Tree Algorithm that will give information and warning to the community. This device and system aim to give early warnings to the communities being both in a timely and systematic way, providing advanced information on its behavior to better prepare the disaster team and government.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128811609","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293904
Rasedul Hasan, Waqas Hassan, W. Xiao
This paper proposes a high voltage gain flyback DC-DC converter for PV applications. The flyback converter is composed of a voltage-doubler circuitry that is designed to reduce the turn ratio of the flyback converter. This enhance the gain of the converter and hence reduce the voltage and current stresses of the power semiconductor devices. Moreover, a resonant active-clamp circuit is employed in the primary that limits the voltage stress and provides zero voltage switching (ZVS) turn-on of the power switches. The resonant operation of the switches reduces the conduction loss and switching turnoff loss as well. The soft switching operation and low stresses in the switches make the overall efficiency high. The simulation result of the proposed converter has been analysed and the experiment of the prototype is done to verify the result.
{"title":"A High Gain Flyback DC-DC Converter for PV Applications","authors":"Rasedul Hasan, Waqas Hassan, W. Xiao","doi":"10.1109/TENCON50793.2020.9293904","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293904","url":null,"abstract":"This paper proposes a high voltage gain flyback DC-DC converter for PV applications. The flyback converter is composed of a voltage-doubler circuitry that is designed to reduce the turn ratio of the flyback converter. This enhance the gain of the converter and hence reduce the voltage and current stresses of the power semiconductor devices. Moreover, a resonant active-clamp circuit is employed in the primary that limits the voltage stress and provides zero voltage switching (ZVS) turn-on of the power switches. The resonant operation of the switches reduces the conduction loss and switching turnoff loss as well. The soft switching operation and low stresses in the switches make the overall efficiency high. The simulation result of the proposed converter has been analysed and the experiment of the prototype is done to verify the result.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127850875","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293756
Hilario A. Calinao, A. Bandala, R. Gustilo, E. Dadios, Marife A. Rosales
Batteries are very important in many different applications. In the solar energy system, the batteries are used as power storage when solar energy is not available especially during night time. Batteries need to be maintained and closely monitor their condition. Battery management systems are normally used for this application but many of them are not monitoring the battery’s temperature. This study will use a fuzzy logic-controlled system to manage the operation of the battery. This system will maintain the operation of the battery in the allowed operating temperature to prevent it from damaged caused by excessive internal temperature.
{"title":"Battery Management System with Temperature Monitoring Through Fuzzy Logic Control","authors":"Hilario A. Calinao, A. Bandala, R. Gustilo, E. Dadios, Marife A. Rosales","doi":"10.1109/TENCON50793.2020.9293756","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293756","url":null,"abstract":"Batteries are very important in many different applications. In the solar energy system, the batteries are used as power storage when solar energy is not available especially during night time. Batteries need to be maintained and closely monitor their condition. Battery management systems are normally used for this application but many of them are not monitoring the battery’s temperature. This study will use a fuzzy logic-controlled system to manage the operation of the battery. This system will maintain the operation of the battery in the allowed operating temperature to prevent it from damaged caused by excessive internal temperature.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114447114","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293946
Chengbo Yang, Bao Song, Xiaoqi Tang, Yuanlong Xie, Xiangdong Zhou
Permanent magnet synchronous motor (PMSM) is typically used to drive the mobile robotic chassis system. In this paper, a modified model reference adaptive system (MRAS) based algorithm is proposed to estimate the moment of inertia of the PMSM drive system. First, an extended state observer (ESO) technique is introduced to reconstruct the adjustable model so that the adverse effects of nonlinear dynamics on its accuracy are removed. Thus, the estimation precision of the moment of inertia can be enhanced. Then, a novel sliding-mode adaptive law is designed to replace the PI adaptive law, which avoids complicated PI parameters adjustment and improves the dynamic estimation performance. The existence and the reachability of the sliding mode are proved with aiding from the Lyapunov function. Experimental results verify the effectiveness of the proposed method.
{"title":"Modified MRAS-Based Algorithm for Inertia Estimation of Mobile Robotic Chassis Drive Systems","authors":"Chengbo Yang, Bao Song, Xiaoqi Tang, Yuanlong Xie, Xiangdong Zhou","doi":"10.1109/TENCON50793.2020.9293946","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293946","url":null,"abstract":"Permanent magnet synchronous motor (PMSM) is typically used to drive the mobile robotic chassis system. In this paper, a modified model reference adaptive system (MRAS) based algorithm is proposed to estimate the moment of inertia of the PMSM drive system. First, an extended state observer (ESO) technique is introduced to reconstruct the adjustable model so that the adverse effects of nonlinear dynamics on its accuracy are removed. Thus, the estimation precision of the moment of inertia can be enhanced. Then, a novel sliding-mode adaptive law is designed to replace the PI adaptive law, which avoids complicated PI parameters adjustment and improves the dynamic estimation performance. The existence and the reachability of the sliding mode are proved with aiding from the Lyapunov function. Experimental results verify the effectiveness of the proposed method.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114662260","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293811
V. Visoottiviseth, Pranpariya Sakarin, Jetnipat Thongwilai, Thanakrit Choobanjong
Currently, Internet of Things (IoT) becomes pervasive and widely deployed. However, the lack of developer and user cyber security awareness leaves IoT devices become the new target of cyber attacks. Therefore, we design and develop "A System for Preventing IoT Device Attacks on Home Wi-Fi Router" (SPIDAR) in order to protect home Wi-Fi networks. This system consists of SPIDAR home Wi-Fi router, SPIDAR Raspberry Pi, and SPIDAR web application to prevent attacks and display the attack statistics to home users. It also helps saving costs from purchasing expensive intrusion prevention software and hardware to install at home. For the prevention method, we provide both the signature-based method using Snort software and the behavior-based method which learns and analyzes IoT devices’ behavior by using either the baseline or the machine learning in order to increase the system performance. SPIDAR can prevent five major attack types specified in the OWASP IoT Top 10 vulnerabilities 2018.
目前，物联网(Internet of Things, IoT)已经普及和广泛部署。然而，由于开发人员和用户缺乏网络安全意识，物联网设备成为网络攻击的新目标。因此，我们设计并开发了“防止IoT设备攻击家庭Wi-Fi路由器的系统”(SPIDAR)，以保护家庭Wi-Fi网络。该系统由SPIDAR家用Wi-Fi路由器、SPIDAR树莓派和SPIDAR web应用组成，实现了对攻击的防范，并将攻击统计信息显示给家庭用户。它还有助于节省购买昂贵的入侵防御软件和硬件安装在家里的成本。对于预防方法，我们提供了使用Snort软件的基于签名的方法和基于行为的方法，该方法通过使用基线或机器学习来学习和分析物联网设备的行为，以提高系统性能。SPIDAR可以防止2018年OWASP物联网十大漏洞中指定的五种主要攻击类型。
{"title":"Signature-based and Behavior-based Attack Detection with Machine Learning for Home IoT Devices","authors":"V. Visoottiviseth, Pranpariya Sakarin, Jetnipat Thongwilai, Thanakrit Choobanjong","doi":"10.1109/TENCON50793.2020.9293811","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293811","url":null,"abstract":"Currently, Internet of Things (IoT) becomes pervasive and widely deployed. However, the lack of developer and user cyber security awareness leaves IoT devices become the new target of cyber attacks. Therefore, we design and develop \"A System for Preventing IoT Device Attacks on Home Wi-Fi Router\" (SPIDAR) in order to protect home Wi-Fi networks. This system consists of SPIDAR home Wi-Fi router, SPIDAR Raspberry Pi, and SPIDAR web application to prevent attacks and display the attack statistics to home users. It also helps saving costs from purchasing expensive intrusion prevention software and hardware to install at home. For the prevention method, we provide both the signature-based method using Snort software and the behavior-based method which learns and analyzes IoT devices’ behavior by using either the baseline or the machine learning in order to increase the system performance. SPIDAR can prevent five major attack types specified in the OWASP IoT Top 10 vulnerabilities 2018.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116433962","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293717
S. Anandu, Gyana Ranjan Mati, Susmita Das
The mmWave band with its broad unused spectrum find its way into the 5th generation (5G) of communication networks to tackle the traffic demand and need for higher data rates. However, the mmWaves are subjected to high levels of attenuation and this loss can be compensated by making use of highly directional transmissions, this leads to delays that are incurred in searching for the appropriate narrow beam transmission which involves scanning the cell area with narrow directional beams. This paper deals with a beam search algorithm that makes use of user location information in reducing the time taken for obtaining the optimum beam configuration. We investigate the performance of the proposed algorithm in a scenario with location inaccuracies. We also evaluate how the algorithm fare in scenarios involving obstructions in the transmission path.
{"title":"A Context Information Enhanced Multilevel Beam Search Procedure for mmWave Bands","authors":"S. Anandu, Gyana Ranjan Mati, Susmita Das","doi":"10.1109/TENCON50793.2020.9293717","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293717","url":null,"abstract":"The mmWave band with its broad unused spectrum find its way into the 5th generation (5G) of communication networks to tackle the traffic demand and need for higher data rates. However, the mmWaves are subjected to high levels of attenuation and this loss can be compensated by making use of highly directional transmissions, this leads to delays that are incurred in searching for the appropriate narrow beam transmission which involves scanning the cell area with narrow directional beams. This paper deals with a beam search algorithm that makes use of user location information in reducing the time taken for obtaining the optimum beam configuration. We investigate the performance of the proposed algorithm in a scenario with location inaccuracies. We also evaluate how the algorithm fare in scenarios involving obstructions in the transmission path.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122082673","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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