IEICE Transactions on Communications最新文献_第9页

Heuristic Service Chain Construction Algorithm Based on VNF Performances for Optimal Data Transmission Services 基于VNF性能的最优数据传输业务启发式服务链构建算法

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020CQP0011

Y. Sumi, T. Tachibana

引用次数: 1

A Novel Multi-AP Diversity for Highly Reliable Transmissions in Wireless LANs 一种用于无线局域网高可靠传输的新型多ap分集

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020EBP3112

T. Nabetani, M. Sekiya

引用次数: 0

Effect of Failures on Stock Price of Telecommunication Service Providers 失败对电信服务提供商股价的影响

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020CQP0012

M. Hayashi

引用次数: 0

Multi-Agent Distributed Route Selection under Consideration of Time Dependency among Agents' Road Usage for Vehicular Networks 考虑agent间道路使用时间依赖性的车辆网络多agent分布式路径选择

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/transcom.2021cet0001

Takanori Hara, Masahiro Sasabe, S. Kasahara

引用次数: 0

A harvested power-oriented SWIPT scheme in MIMO communication systems with non-linear harvesters 具有非线性收割机的MIMO通信系统中面向收获功率的SWIPT方案

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020EBP3099

Yan Chen, Chen Liu, Mujun Qian, Yu Huang, Wenfeng Sun

引用次数: 0

Simple Weight Calculation Methods for Millimeter Wave Band Massive Antenna Array in Direct Wave Dominant Environment 直波优势环境下毫米波波段海量天线阵重量的简单计算方法

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020EBP3107

Suga Mizuki, Shirato Yushi, N. Kita, T. Onizawa

引用次数: 0

Quality of Experience (QoE) Studies: Present State and Future Prospect 体验质量(QoE)研究:现状与未来展望

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020CQI0003

T. Yamazaki

{"title":"Quality of Experience (QoE) Studies: Present State and Future Prospect","authors":"T. Yamazaki","doi":"10.1587/TRANSCOM.2020CQI0003","DOIUrl":"https://doi.org/10.1587/TRANSCOM.2020CQI0003","url":null,"abstract":"With the spread of the broadband Internet and highperformance devices, various services have become available anytime, anywhere. As a result, attention is focused on the service quality and Quality of Experience (QoE) is emphasized as an evaluation index from the user’s viewpoint. Since QoE is a subjective evaluation metric and deeply involved with user perception and expectation, quantitative and comparative research was difficult because the QoE study is still in its infancy. At present, after tremendous devoted efforts have contributed to this research area, a shape of the QoE management architecture has become clear. Moreover, not only for research but also for business, video streaming services are expected as a promising Internet service incorporating QoE. This paper reviews the present state of QoE studies with the above background and describes the future prospect of QoE. Firstly, the historical aspects of QoE is reviewed starting with QoS (Quality of Service). Secondly, a QoE management architecture is proposed in this paper, which consists of QoE measurement, QoE assessment, QoS-QoE mapping, QoE modeling, and QoE adaptation. Thirdly, QoE studies related with video streaming services are introduced, and finally individual QoE and physiology-based QoE measurement methodologies are explained as future prospect in the field of QoE studies. key words: QoE, QoS, video streaming, user experience, personalization, physiology","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":"67303203","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: 5

Analyzing the Effects of Social Network Structure on the Growth and Survival of Online Communities in Reddit 分析社交网络结构对Reddit在线社区成长和生存的影响

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020CQP0006

Sho Tsugawa, S. Niida

引用次数: 1

Time-series Measurement of Parked Domain Names and Their Malicious Uses 停放域名及其恶意使用的时序测量

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020CQP0007

Takayuki Tomatsuri, Daiki Chiba, Mitsuaki Akiyama, M. Uchida

引用次数: 0

Graph Laplacian-Based Sequential Smooth Estimator for Three-Dimensional RSS Map 基于图拉普拉斯的三维RSS地图序列光滑估计

IF 0.7 4区计算机科学

IEICE Transactions on Communications Pub Date : 2021-01-01 DOI: 10.1587/TRANSCOM.2020CQP0003

T. Matsuda, F. Ono, S. Hara

{"title":"Graph Laplacian-Based Sequential Smooth Estimator for Three-Dimensional RSS Map","authors":"T. Matsuda, F. Ono, S. Hara","doi":"10.1587/TRANSCOM.2020CQP0003","DOIUrl":"https://doi.org/10.1587/TRANSCOM.2020CQP0003","url":null,"abstract":"In wireless links between ground stations and UAVs (Unmanned Aerial Vehicles), wireless signals may be attenuated by obstructions such as buildings. A three-dimensional RSS (Received Signal Strength) map (3D-RSS map), which represents a set of RSSs at various reception points in a three-dimensional area, is a promising geographical database that can be used to design reliable ground-to-air wireless links. The construction of a 3D-RSS map requires higher computational complexity, especially for a large 3D area. In order to sequentially estimate a 3D-RSS map from partial observations of RSS values in the 3D area, we propose a graph Laplacian-based sequential smooth estimator. In the proposed estimator, the 3D area is divided into voxels, and a UAV observes the RSS values at the voxels along a predetermined path. By considering the voxels as vertices in an undirected graph, a measurement graph is dynamically constructed using vertices from which recent observations were obtained and their neighboring vertices, and the 3D-RSS map is sequentially estimated by performing graph Laplacian regularized least square estimation. key words: unmanned aerial vehicle, received signal strength, graph Laplacian, least square estimation, sequential estimation","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":"67303255","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: 1