IEICE Transactions on Communications最新文献_第3页

Field Evaluation of Adaptive Path Selection for Platoon-Based V2N Communications 基于队列的V2N通信自适应路径选择的现场评估

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3101

Ryusuke Igarashi, Ryo Nakagawa, Daniel Okochi, Yukio Ogawa, M. Dong, K. Ota

引用次数: 0

Analysis of Field Uniformity in a TEM Cell Based on Finite Difference Method and Measured Field Strength 基于有限差分法和实测场强的瞬变电磁炉场均匀性分析

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3138

Yixing Gu, Zhongyuan Zhou, Yunfen Chang, Mingjie Sheng, Qi Zhou

引用次数: 0

Toward Predictive Modeling of Solar Power Generation for Multiple Power Plants 多电站太阳能发电预测建模研究

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebt0003

Kundjanasith Thonglek, Koheix Ichikawa, Keichi Takahashi, Chawanat Nakasan, K. Yuasa, T. Babasaki, Hajimu Iida

{"title":"Toward Predictive Modeling of Solar Power Generation for Multiple Power Plants","authors":"Kundjanasith Thonglek, Koheix Ichikawa, Keichi Takahashi, Chawanat Nakasan, K. Yuasa, T. Babasaki, Hajimu Iida","doi":"10.1587/transcom.2022ebt0003","DOIUrl":"https://doi.org/10.1587/transcom.2022ebt0003","url":null,"abstract":"SUMMARY Solar power is the most widely used renewable energy source, which reduces pollution consequences from using conventional fossil fuels. However, supplying stable power from solar power generation remains challenging because it is difficult to forecast power generation. Accurate prediction of solar power generation would allow effective control of the amount of electricity stored in batteries, leading in a stable supply of electricity. Although the number of power plants is increasing, building a solar power prediction model for a newly constructed power plant usually requires collecting a new training dataset for the new power plant, which takes time to collect a sufficient amount of data. This paper aims to develop a highly accurate solar power prediction model for multiple power plants available for both new and existing power plants. The proposed method trains the model on existing multiple power plants to generate a general prediction model, and then uses it for a new power plant while waiting for the data to be collected. In addition, the proposed method tunes the general prediction model on the newly collected dataset and improves the accuracy for the new power plant. We evaluated the proposed method on 55 power plants in Japan with the dataset collected for two and a half years. As a result, the pre-trained models of our proposed method significantly reduces theaverageRMSEofthebaselinemethodby73.19%. Thisindicatesthatthe modelcangeneralizeovermultiplepowerplants, andtrainingusingdatasets from other power plants is effective in reducing the RMSE. Fine-tuning the pre-trained model further reduces the RMSE by 8.12%.","PeriodicalId":48825,"journal":{"name":"IEICE Transactions on Communications","volume":"23 1","pages":"547-556"},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85311129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Policy-Based Grooming, Route, Spectrum, and Operational Mode Planning in Dynamic Multilayer Networks 动态多层网络中基于策略的疏导、路由、频谱和运行模式规划

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3106

Takafumi Tanaka, H. Hasegawa

引用次数: 0

High-Quality Secure Wireless Transmission Scheme Using Polar Codes and Radio-Wave Encrypted Modulation 使用极码和无线电波加密调制的高质量安全无线传输方案

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3098

Keisuke Asano, Mamoru Okumura, T. Abe, E. Okamoto, Tetsuya Yamamoto

{"title":"High-Quality Secure Wireless Transmission Scheme Using Polar Codes and Radio-Wave Encrypted Modulation","authors":"Keisuke Asano, Mamoru Okumura, T. Abe, E. Okamoto, Tetsuya Yamamoto","doi":"10.1587/transcom.2022ebp3098","DOIUrl":"https://doi.org/10.1587/transcom.2022ebp3098","url":null,"abstract":"SUMMARY In recent years, physical layer security (PLS), which is based on information theory and whose strength does not depend on the eavesdropper’s computing capability, has attracted much attention. We have proposed a chaos modulation method as one PLS method that o ﬀ ers channel coding gain. One alternative is based on polar codes. They are robust error-correcting codes, have a nested structure in the encoder, and the application of this mechanism to PLS encryption (PLS-polar) has been actively studied. However, most conventional studies assume the application of conventional linear modulation such as BPSK, do not use encryption modulation, and the channel coding gain in the modulation is not achieved. In this paper, we propose a PLS-polar method that can realize high-quality transmission and encryption of a modulated signal by applying chaos modulation to a polar-coding system. Numerical results show that the proposed method improves the performance compared to the conventional PLS-polar method by 0.7dB at a block error rate of 10 − 5 . In addition, we show that the proposed method is superior to conventional chaos modulation concatenated with low-density parity-check codes, indicating that the polar code is more suitable for chaos modulation. Finally, it is demonstrated that the proposed method is secure in terms of information theoretical and computational security.","PeriodicalId":48825,"journal":{"name":"IEICE Transactions on Communications","volume":"37 1","pages":"374-383"},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78412727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Content search method utilizing the metadata matching characteristics of both Spatio-temporal content and user request in the IoT era 利用物联网时代时空内容与用户请求的元数据匹配特征的内容搜索方法

4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2023ebp3060

Shota AKIYOSHI, Yuzo TAENAKA, Kazuya TSUKAMOTO, Myung LEE

{"title":"Content search method utilizing the metadata matching characteristics of both Spatio-temporal content and user request in the IoT era","authors":"Shota AKIYOSHI, Yuzo TAENAKA, Kazuya TSUKAMOTO, Myung LEE","doi":"10.1587/transcom.2023ebp3060","DOIUrl":"https://doi.org/10.1587/transcom.2023ebp3060","url":null,"abstract":"Cross-domain data fusion is becoming a key driver in the growth of numerous and diverse applications in the Internet of Things (IoT) era. We have proposed the concept of a new information platform, Geo-Centric Information Platform (GCIP), that enables IoT data fusion based on geolocation, i.e., produces spatio-temporal content (STC), and then provides the STC to users. In this environment, users cannot know in advance ”when,” ”where,” or ”what type” of STC is being generated because the type and timing of STC generation vary dynamically with the diversity of IoT data generated in each geographical area. This makes it difficult to directly search for a specific STC requested by the user using the content identifier (domain name of URI or content name). To solve this problem, a new content discovery method that does not directly specify content identifiers is needed while taking into account (1) spatial and (2) temporal constraints. In our previous study, we proposed a content discovery method that considers only spatial constraints and did not consider temporal constraints. This paper proposes a new content discovery method that matches user requests with content metadata (topic) characteristics while taking into account spatial and temporal constraints. Simulation results show that the proposed method successfully discovers appropriate STC in response to a user request.","PeriodicalId":48825,"journal":{"name":"IEICE Transactions on Communications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135953568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Antennas Measurement for Millimeter Wave 5G Wireless Applications using Radio over Fiber Technologies 使用光纤无线技术的毫米波5G无线应用的天线测量

4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2023cei0001

Satoru Kurokawa, Michitaka Ameya, Yui Otagaki, Hiroshi Murata, Masatoshi Onizawa, Masahiro Sato, Masanobu Hirose

引用次数: 0

Device Type Classification based on Two-stage Traffic Behavior Analysis 基于两阶段流行为分析的设备类型分类

4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2023wwp0004

Chikako TAKASAKI, Tomohiro KORIKAWA, Kyota HATTORI, Hidenari OHWADA

{"title":"Device Type Classification based on Two-stage Traffic Behavior Analysis","authors":"Chikako TAKASAKI, Tomohiro KORIKAWA, Kyota HATTORI, Hidenari OHWADA","doi":"10.1587/transcom.2023wwp0004","DOIUrl":"https://doi.org/10.1587/transcom.2023wwp0004","url":null,"abstract":"In the beyond 5G and 6G networks, the number of connected devices and their types will greatly increase including not only user devices such as smartphones but also the Internet of Things (IoT). Moreover, Non-terrestrial networks (NTN) introduce dynamic changes in the types of connected devices as base stations or access points are moving objects. Therefore, continuous network capacity design is required to fulfill the network requirements of each device. However, continuous optimization of network capacity design for each device within a short time span becomes difficult because of the heavy calculation amount. We introduce device types as groups of devices whose traffic characteristics resemble and optimize network capacity per device type for efficient network capacity design. This paper proposes a method to classify device types by analyzing only encrypted traffic behavior without using payload and packets of specific protocols. In the first stage, general device types, such as IoT and non-IoT, are classified by analyzing packet header statistics using machine learning. Then, in the second stage, connected devices classified as IoT in the first stage are classified into IoT device types, by analyzing a time series of traffic behavior using deep learning. We demonstrate that the proposed method classifies device types by analyzing traffic datasets and outperforms the existing IoT-only device classification methods in terms of the number of types and the accuracy. In addition, the proposed model performs comparable as a state-of-the-art model of traffic classification, ResNet 1D model. The proposed method is suitable to grasp device types in terms of traffic characteristics toward efficient network capacity design in networks where massive devices for various services are connected and the connected devices continuously change.","PeriodicalId":48825,"journal":{"name":"IEICE Transactions on Communications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136374336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metropolitan Area Network Model Design Using Regional Railways Information for Beyond 5G Research 基于区域铁路信息的超5G城域网模型设计

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebn0001

T. Tachibana, Y. Hirota, Keijiro Suzuki, T. Tsuritani, H. Hasegawa

{"title":"Metropolitan Area Network Model Design Using Regional Railways Information for Beyond 5G Research","authors":"T. Tachibana, Y. Hirota, Keijiro Suzuki, T. Tsuritani, H. Hasegawa","doi":"10.1587/transcom.2022ebn0001","DOIUrl":"https://doi.org/10.1587/transcom.2022ebn0001","url":null,"abstract":"SUMMARY To accelerate research on Beyond 5G (B5G) technologies in Japan, we propose an algorithm that designs mesh-type metropolitan area network (MAN) models based on a priori Japanese regional railway information, because ground-truth communication network information is unavailable. Instead, we use the information of regional railways, which is expected to express the necessary geometric structure of our metropolitan cities while remaining strongly correlated with their population densities and demographic variations. We provide an additional compression algo-rithm for use in reducing a small-scale network model from the original MAN model designed using the proposed algorithm. Two Tokyo MAN models are created, and we provide day and night variants for each while highlighting the number of passengers alighting/boarding at each station and the respective population densities. The validity of the proposed al-gorithm is veriﬁed through comparisons with the Japan Photonic Network model and another model designed using the communication network information, which is not ground-truth. Comparison results show that our proposed algorithm is eﬀective for designing MAN models and that our result provides a valid Tokyo MAN model.","PeriodicalId":48825,"journal":{"name":"IEICE Transactions on Communications","volume":"11 1","pages":"296-306"},"PeriodicalIF":0.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84332894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Superposition Signal Input Decoding for Lattice Reduction-Aided MIMO Receivers 格约简辅助MIMO接收机的叠加信号输入解码

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2023-01-01 DOI: 10.1587/transcom.2022ebp3051

S. Denno, Koki Kashihara, Yafei Hou

引用次数: 0