IEICE Transactions on Communications最新文献

{"title":"An Intent-based System Configuration Design for IT/NW Services with Functional and Quantitative Constraints","authors":"Takuya Kuwahara, T. Kuroda, Takao Osaki, K. Satoda","doi":"10.1587/TRANSCOM.2020CQP0009","DOIUrl":"https://doi.org/10.1587/TRANSCOM.2020CQP0009","url":null,"abstract":"Network service providers need to appropriately design systems and carefully configuring the settings and parameters to ensure that the systems keep running consistently and deliver the desired services. This can be a heavy and error-prone task. Intent-based system design methods have been developed to help with such tasks. These methods receive service-level requirements and generate service configurations to fulfill the given requirements. One such method is search-based system design, which can flexibly generate systems of various architectures. However, it has difficulty dealing with constraints on the quantitative parameters of systems, e.g., disk volume, RAM size, and QoS. To deal with practical cases, intent-based system design engines need to be able to handle quantitative parameters and constraints. In this work, we propose a new intent-based system design method based on search-based design that augments search states with quantitative constraints. Our method can generate a system that meets both functional and quantitative service requirements by combining a search-based design method with constraint checking. Experimental results show that our method can automatically generate a system that fulfills all given requirements within a reasonable computation time. key words: intent-based system configuration, automated system design, design space exploration, quantitative requirement","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67303448","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}

{"title":"Derivation Procedure of Coefficients of Metadata-based Model for Adaptive Bitrate Streaming Services","authors":"Kazuhisa Yamagishi, N. Egi, Noriko Yoshimura, Pierre R. Lebreton","doi":"10.1587/TRANSCOM.2020CQP0002","DOIUrl":"https://doi.org/10.1587/TRANSCOM.2020CQP0002","url":null,"abstract":"Since the quality of video streaming services is degraded due to the encoding, network congestion, and lack of a playout buffer, the normality of services needs to be monitored by gathering the quality measured at the end clients. When measuring quality at the end clients, the computational power should be sufficiently low, the bitstream information cannot be accessed for the quality estimation due to the encryption, and reference video cannot be used at the end clients. Therefore, metadata-based models have been developed and standardized that take metadata such as the resolution, framerate, and bitrate, and stalling information as input and calculate the quality. However, calculated quality for linear TV and video on demand (VoD) services cannot be compared because metadata-based models cannot calculate the impacts of codec strategies (e.g., H.264/AVC, H.265/HEVC, and AV1) and configurations (e.g., 1-pass encoding for linear TV or 2-pass encoding for VoD) on the quality. To take into account the impact of codec strategies and configurations, coefficients of metadatabased model need to be optimized per codec strategy and configuration using subjective quality. However, extensive subjective assessment tests are difficult to frequently conduct because they are expensive and time consuming and need to be conducted by video quality experts. Therefore, to monitor the quality of several types of video streaming services (e.g., linear TV and VoD) and to compare these qualities, a derivation procedure is proposed for obtaining coefficients of metadata-based models using a fullreference model. To validate the procedure, extensive subjective assessment tests were conducted. Finally, it is shown that three metadata-based models (i.e., the P.1203.1 mode 0 model, extended P.1203.1 mode 0 model, and model proposed by Yamagishi et al.) based on the proposed procedure using the video multimethod assessment fusion (VMAF) algorithm estimate quality accurately in terms of root mean squared error. key words: adaptive bitrate streaming, codec configuration, full-reference model, metadata-based model","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67303239","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}

{"title":"Radiation Properties of Wideband Multi-Ring Microstrip Antennas Fed by an L-Probe for Single- and Dual-Band Operations","authors":"Y. Kimura, S. Saito, Y. Kimura, T. Fukunaga","doi":"10.1587/TRANSCOM.2020EBP3129","DOIUrl":"https://doi.org/10.1587/TRANSCOM.2020EBP3129","url":null,"abstract":"","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67303728","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}

{"title":"Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System","authors":"S. Yamasaki, Daiki Nobayashi, K. Tsukamoto, T. Ikenaga, J. L. Myung","doi":"10.1587/TRANSCOM.2020CQP0010","DOIUrl":"https://doi.org/10.1587/TRANSCOM.2020CQP0010","url":null,"abstract":"With the development and spread of Internet of Things technologies, various types of data for IoT applications can be generated anywhere and at any time. Among such data, there are data that depend heavily on generation time and location. We define these data as spatiotemporal data (STD). In previous studies, we proposed a STD retention system using vehicular networks to achieve the “Local production and consumption of STD” paradigm. The system can quickly provide STD for users within a specific location by retaining the STD within the area. However, this system does not take into account that each type of STD has different requirements for STD retention. In particular, the lifetime of STD and the diffusion time to the entire area directly influence the performance of STD retention. Therefore, we propose an efficient diffusion and elimination control method for retention based on the requirements of STD. The results of simulation evaluation demonstrated that the proposed method can satisfy the requirements of STD, while maintaining a high coverage rate in the area. key words: STD, data retention, diffusion and elimination, dynamic transmission interval control","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67303820","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}

{"title":"Traffic reduction technologies and data aggregation control to minimize latency in IoT systems","authors":"H. Yoshino, Kenko Ota, T. Hiraguri","doi":"10.1587/TRANSCOM.2020CQI0002","DOIUrl":"https://doi.org/10.1587/TRANSCOM.2020CQI0002","url":null,"abstract":"The spread of the Internet of Things (IoT) has led to the generation of large amounts of data, requiring massive communication, computing, and storage resources. Cloud computing plays an important role in realizing most IoT applications classified as massive machine type communication and cyber-physical control applications in vertical domains. To handle the increasing amount of IoT data, it is important to reduce the traffic concentrated in the cloud by distributing the computing and storage resources to the network edge side and to suppress the latency of the IoT applications. In this paper, we first present a recent literature review on fog/edge computing and data aggregation as representative traffic reduction technologies for efficiently utilizing communication, computing, and storage resources in IoT systems, and then focus on data aggregation control minimizing the latency in an IoT gateway. We then present a unified modeling for statistical and nonstatistical data aggregation and analyze its latency. We analytically derive the Laplace–Stieltjes transform and average of the stationary distribution of the latency and approximate the average latency; we subsequently apply it to an adaptive aggregation number control for the time-variant data arrival. The transient traffic characteristics, that is, the absorption of traffic fluctuations realizing a stable optimal latency, were clarified through a simulation with a time-variant Poisson input and nonPoisson inputs, such as a Beta input, which is a typical IoT traffic model. key words: IoT, fog, edge, data aggregation, QoS, latency, control, communication quality, communication traffic","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67303156","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}

{"title":"Extension of ITU-R Site-General Path Loss Model in Urban Areas Based on Measurements from 2 to 66 GHz Bands","authors":"M. Sasaki, Mitsuki Nakamura, Nobuaki Kuno, W. Yamada, N. Kita, T. Onizawa, Y. Takatori, Hiroyuki Nakamura, M. Inomata, K. Kitao, T. Imai","doi":"10.1587/TRANSCOM.2020EBP3034","DOIUrl":"https://doi.org/10.1587/TRANSCOM.2020EBP3034","url":null,"abstract":"Path loss in high frequency bands above 6 GHz is the most fundamental and significant propagation characteristic of IMT-2020. To develop and evaluate such high frequency bands, ITU-R SG5 WP5D recently released channel models applicable up to 100 GHz. The channel models include path loss models applicable to 0.5–100 GHz. A path loss model is used for cell design and the evaluation of the radio technologies, which is the main purpose of WP5D. Prediction accuracy in various locations, Tx positions, frequency bands, and other parameters are significant in cell design. This article presents the prediction accuracy of UMa path loss models which are detailed in Report ITU-R M.2412 for IMT-2020. We also propose UMa A’ as an extension model of UMa A. While UMa A applies different equations to the bands below and above 6 GHz to predict path loss, UMa A’ covers all bands by using the equations of UMa A below 6 GHz. By using the UMa A’ model, we can predict path loss by taking various parameters (such as BS antenna height) into account over a wide frequency range (0.5–100 GHz). This is useful for considering the deployment of BS antennas at various positions with a wide frequency band. We verify model accuracy by extensive measurements in the frequency bands from 2 to 66 GHz, distances up to 1600 m, and an UMa environment with three Tx antenna heights. The UMa A’ extension model can predict path loss with the low RMSE of about 7 dB at 2–26.4 GHz, which is more accurate than the UMa A and UMa B models. Although the applicability of the UMa A’ model at 66 GHz is unclear and needs further verification, the evaluation results for 66 GHz demonstrate that the antenna height may affect the prediction accuracy at 66 GHz. key words: 5G, propagation, path loss model, UMa, IMT-2020, Rep. ITUR M.2412","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67303531","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}

{"title":"Multicell Distributed Beamforming Based on the Altruistic and Egoistic Strategy with Local Channel State Information","authors":"Zijia Huang, Qinghai Yang","doi":"10.1587/transcom.2021ebp3115","DOIUrl":"https://doi.org/10.1587/transcom.2021ebp3115","url":null,"abstract":"","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67303602","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}

{"title":"FOREWORD","authors":"Yutaka Miyamoto","doi":"10.1587/transcom.2019obf0001","DOIUrl":"https://doi.org/10.1587/transcom.2019obf0001","url":null,"abstract":"","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43941558","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}

{"title":"FOREWORD","authors":"Fumihiro Yamashita","doi":"10.1587/transcom.2019cbf0001","DOIUrl":"https://doi.org/10.1587/transcom.2019cbf0001","url":null,"abstract":"","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42361442","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}

{"title":"FOREWORD","authors":"S. Ishigami","doi":"10.1587/transcom.2019mcf0001","DOIUrl":"https://doi.org/10.1587/transcom.2019mcf0001","url":null,"abstract":"","PeriodicalId":50385,"journal":{"name":"IEICE Transactions on Communications","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42200360","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}