2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS)最新文献_第4页

Design of Millimeter Wave Active Array Antenna Module with Embedded System and Calibration of Software Defined Radio Platform 嵌入式毫米波有源阵列天线模块设计及软件无线电平台标定

2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS) Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548766

Juinn-Horng Deng, Shoushan Liu, Cun-Jhe Liu, Chun-Chih Hou, Chuan-Yi Liu, Meng-Lin Ku, Jian-Yu Li, J. D. Deng

引用次数: 0

R&D of technology for high reliability management in advanced 5G network to meet the various requirements of different communication services 研发先进5G网络高可靠性管理技术，满足不同通信业务的各种需求

2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS) Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548753

H. Shinbo, T. Murakami, Y. Tsukamoto, Y. Kishi

{"title":"R&D of technology for high reliability management in advanced 5G network to meet the various requirements of different communication services","authors":"H. Shinbo, T. Murakami, Y. Tsukamoto, Y. Kishi","doi":"10.1109/APWCS50173.2021.9548753","DOIUrl":"https://doi.org/10.1109/APWCS50173.2021.9548753","url":null,"abstract":"We have undertaken an R&D project in the \"advanced 5G\" era that aims at accommodating various types of communication involving current and emerging services with different data flow-level quality requirements. In this paper, the objectives and the technologies of the project are presented. We propose an architecture based on a virtualized radio access network (vRAN) that enables adaptive resource control of radio, computation and transport links, and RAN function placement in accordance with spatially changing communication demands. The topics under study that are essential for realizing the advanced 5G network are as follows: (a) blockage prediction, new radio access technologies (RATs) and their implementations with software-defined radio (SDR) for nano-area using the millimeter wave band, (b) adaptive interference and resource control, integration of radio and optical resource control, highly efficient optical transport link control, adaptive RAN function replacement, and service estimation per data flow for adaptive RAN. These research topics are essential to the realization of the advanced 5G network and will become the entrance to the Beyond5G/6G system.","PeriodicalId":164737,"journal":{"name":"2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115879109","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: 2

Multi-Input Physical Layer Network Coding In Wireless Two-Way Relay Networks 无线双向中继网络中的多输入物理层网络编码

2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS) Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548758

Hideaki Tsugita, S. Denno, Yafei Hou

{"title":"Multi-Input Physical Layer Network Coding In Wireless Two-Way Relay Networks","authors":"Hideaki Tsugita, S. Denno, Yafei Hou","doi":"10.1109/APWCS50173.2021.9548758","DOIUrl":"https://doi.org/10.1109/APWCS50173.2021.9548758","url":null,"abstract":"In this paper, we propose multi-input physical layer network coding (multi-input PLNC) for high speed wireless communication in two-dimensional multi-hop networks. In the proposed PLNC, all the terminals send their packets simultaneously for the neighboring relays to maximize the network throughput in the first slot, as well as the relays doing for the terminals in the second slot, which causes multiple signals to be received at the relays and the terminals. We propose linear precoding techniques that transform the multiple signal reception channel into parallel channels, in each of which the two-input XOR-physical layer network coding (XOR-PLNC) can be applied. The proposed precoding enables a simple XOR-PLNC decoder to be used at the relays and the terminals, even though all the terminals or the relays transmit their packets simultaneously. The proposed multi-input PLNC makes all the terminals exchange their packets to the neighboring terminals in only two time slots. The proposed multi-input PLNC makes more than 6-stream spatial multiplexing possible in spite of the number of antennas on the relay and the terminal. The performance of the proposed multi-input PLNC is confirmed by computer simulation. Because more than 6 antennas spatial multiplexing is performed by the proposed multi-input PLNC, the proposed PLNC achieves better transmission performance as more than 6 antennas are placed on the relay and the terminal in a two-dimensional network just like cellular networks.","PeriodicalId":164737,"journal":{"name":"2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117205739","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

A Study on MIMO Gain of UAV-to-Ground Channel in Urban Environments 城市环境下无人机对地信道MIMO增益研究

2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS) Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548726

M. Elsagher, A. Al-Hourani, Ke Wang, Jinho Choi

引用次数: 0

Health Secure Radar: Use of Micro Doppler Signatures for Health Care and Security Applications 健康安全雷达:微多普勒特征在医疗保健和安全应用中的应用

2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS) Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548761

Muhammad Muqtadir, M. H. Butt, Daniyal Qazi, Faran Awais Butt, I. Naqvi, N. Hassan

引用次数: 2

An Unsupervised TCN-based Outlier Detection for Time Series with Seasonality and Trend 基于无监督tcn的具有季节性和趋势的时间序列异常值检测

2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS) Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548759

Ronghong Mo, Yiyang Pei, N. Venkatarayalu, Pereira Nathaniel, A. Premkumar, Sumei Sun

{"title":"An Unsupervised TCN-based Outlier Detection for Time Series with Seasonality and Trend","authors":"Ronghong Mo, Yiyang Pei, N. Venkatarayalu, Pereira Nathaniel, A. Premkumar, Sumei Sun","doi":"10.1109/APWCS50173.2021.9548759","DOIUrl":"https://doi.org/10.1109/APWCS50173.2021.9548759","url":null,"abstract":"Outlier detection is challenging for time series with seasonality and trend due to the presence of local outliers. In this paper, we propose an online unsupervised deep learning based algorithm for outlier detection utilizing temporal convolutional neural network (TCN). In the proposed algorithm, firstly, the TCN network is trained using a novel loss function designed to address time series with seasonality and trend. Secondly, instead of a single global threshold for outlier detection for the entire time series, we define a set of thresholds computed based on the output of the TCN network, leading to robust detection of local outliers caused by the seasonality and the trend. The performance of the proposed algorithm is evaluated using synthetic time series. The results show that given 99% Precision, the proposed algorithm achieves at least 70% Recall and 80% F-score, which is much better than 43% Recall and 60% F-score achieved by the statistics-based seasonal extreme studentized deviate test (S-ESD) algorithm. Our algorithm also demonstrates better performance than that of the TCN based detection algorithm trained by the conventional loss function.","PeriodicalId":164737,"journal":{"name":"2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116639669","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: 3

Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices 具有有理奇偶校验矩阵的LDPC卷积码的改进虚信道传播译码

2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS) Pub Date : 2021-08-01 DOI: 10.1109/APWCS50173.2021.9548754

Chung-hsuan Wang, J. Lu

引用次数: 0

Distributed and Autonomous Aerial Data Collection in Smart City Surveillance Applications 智慧城市监控应用中的分布式和自主航空数据采集

2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS) Pub Date : 2021-07-25 DOI: 10.1109/APWCS50173.2021.9548768

Haemin Lee, Soyi Jung, Joongheon Kim

{"title":"Distributed and Autonomous Aerial Data Collection in Smart City Surveillance Applications","authors":"Haemin Lee, Soyi Jung, Joongheon Kim","doi":"10.1109/APWCS50173.2021.9548768","DOIUrl":"https://doi.org/10.1109/APWCS50173.2021.9548768","url":null,"abstract":"The massive growth of Smart City and Internet of Things applications enables safety and security. The data those are produced from surveillance cameras in aerial devices such as unmanned aerial networks (UAVs) are needed to be transferred to ground stations for secure data analysis. When the scale of network is relatively large compare to the wireless communication coverage of device, it is not always available to transmit the data to the ground stations, thus distributed and autonomous algorithms are essentially desired. Based on the needs, we propose a novel algorithm that is for collecting surveillance data under the consideration of mobility and flexibility of UAV networks. Due to the battery limitation in UAVs, we selectively collect data from the UAVs by setting rules under the consideration of distance and similarity. As a sequence, the UAV devices have to compete for a chance to get data processing. For this purpose, this paper designs a Myerson auction-based deep learning algorithm to leverage the UAV’s revenue compare to traditional second-price auction while preserving truthfulness. Based on simulation results, we verify that our proposed algorithm achieves desired performance improvements.","PeriodicalId":164737,"journal":{"name":"2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS)","volume":"113 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121042279","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: 9