Journal of Communications and Networks最新文献_第10页

The Internet of bio-nano things in blood vessels: System design and prototypes 血管中的生物纳米物联网:系统设计和原型

IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-04-14 DOI: 10.23919/JCN.2023.000001

Changmin Lee;Bon-Hong Koo;Chan-Byoung Chae;Robert Schober

{"title":"The Internet of bio-nano things in blood vessels: System design and prototypes","authors":"Changmin Lee;Bon-Hong Koo;Chan-Byoung Chae;Robert Schober","doi":"10.23919/JCN.2023.000001","DOIUrl":"https://doi.org/10.23919/JCN.2023.000001","url":null,"abstract":"In this paper, we investigate the Internet of bionano things (IoBNT) which pertains to networks formed by molecular communications. By providing a means of communication through the ubiquitously connected blood vessels (arteries, veins, and capillaries), molecular communication-based IoBNT enables a host of new eHealth applications. For example, an organ monitoring sensor can transfer internal body signals through the IoBNT to health-monitoring applications. We empirically show that blood vessel channels introduce a new set of challenges in the design of molecular communication systems in comparison to free-space channels. Then, we propose cylindrical duct channel models and discuss the corresponding system designs conforming to the channel characteristics. Furthermore, based on prototype implementations, we confirm that molecular communication techniques can be utilized for composing the IoBNT. We believe that the promising results presented in this work, together with the rich research challenges that lie ahead, are strong indicators that IoBNT with molecular communications can drive novel applications for emerging eHealth systems.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"25 2","pages":"222-231"},"PeriodicalIF":3.6,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5449605/10127634/10102779.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49948842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-04-01 DOI: 10.23919/JCN.2023.100018

引用次数: 0

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IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-04-01 DOI: 10.23919/JCN.2023.100017

引用次数: 0

Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies 迈向6G超连接:愿景、挑战和关键使能技术

IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-03-25 DOI: 10.23919/JCN.2023.000006

Howon Lee;Byungju Lee;Heecheol Yang;Junghyun Kim;Seungnyun Kim;Wonjae Shin;Byonghyo Shim;H. Vincent Poor

{"title":"Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies","authors":"Howon Lee;Byungju Lee;Heecheol Yang;Junghyun Kim;Seungnyun Kim;Wonjae Shin;Byonghyo Shim;H. Vincent Poor","doi":"10.23919/JCN.2023.000006","DOIUrl":"https://doi.org/10.23919/JCN.2023.000006","url":null,"abstract":"Technology forecasts anticipate a new era in which massive numbers of humans, machines, and things are connected to wireless networks to sense, process, act, and communicate with the surrounding environment in a real-time manner. To make the visions come true, the sixth generation (6G) wireless networks should be hyper-connected, implying that there are no constraints on the data rate, coverage, and computing. In this article, we first identify the main challenges for 6G hyperconnectivity, including terabits-per-second (Tbps) data rates for immersive user experiences, zero coverage-hole networks, and pervasive computing for connected intelligence. To overcome these challenges, we highlight key enabling technologies for 6G such as distributed and intelligence-aware cell-free massive multi-input multi-output (MIMO) networks, boundless and fully integrated terrestrial and non-terrestrial networks, and communication-aware distributed computing for computationintensive applications. We further illustrate and discuss the hyper-connected 6G network architecture along with open issues and future research directions.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"25 3","pages":"344-354"},"PeriodicalIF":3.6,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5449605/10190217/10136521.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-02-01 DOI: 10.23919/JCN.2023.100012

引用次数: 0

Software-defined networking enabled big data tasks scheduling: A tabu search approach 软件定义网络支持大数据任务调度:禁忌搜索方法

IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-02-01 DOI: 10.23919/JCN.2023.000002

Mina Soltani Siapoush;Shahram Jamali;Amin Badirzadeh

{"title":"Software-defined networking enabled big data tasks scheduling: A tabu search approach","authors":"Mina Soltani Siapoush;Shahram Jamali;Amin Badirzadeh","doi":"10.23919/JCN.2023.000002","DOIUrl":"https://doi.org/10.23919/JCN.2023.000002","url":null,"abstract":"The growth of information technology along with the revolution of the industry and business has led to the generation of an enormous amount of data. This big data needs a platform beyond the traditional data possessing context that relies on some computational servers communicating through a network in its lower layer. One of the most important challenges in data processing is how to transfer the big batches of data between the servers to achieve fast responsiveness. Consequently, the underlying network plays a critical role in the performance of a big data analysis platform. Ideally, this network must use the shortest path that has the lowest amount of load, to transfer the large-scale data. To address this issue, we propose a software-defined networking (SDN) enabled scheduling method that uses the tabu search algorithm to schedule big data tasks. The proposed algorithm not only considers data locality but also uses the network traffic status for efficient scheduling. Our extensive simulative study in the Mininet emulator shows that the proposed scheme gives high performance and minimizes job completion time.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"25 1","pages":"111-120"},"PeriodicalIF":3.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5449605/10077469/10077470.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49944444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Information for authors 作者信息

IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-02-01 DOI: 10.23919/JCN.2023.100011

引用次数: 0

Energy-efficient RL-based aerial network deployment testbed for disaster areas 基于高效节能rl的灾区空中网络部署试验台

IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-01-09 DOI: 10.23919/JCN.2022.000057

Mehmet Ariman;Mertkan Akkoç;Talip Tolga Sari;Muhammed Raşit Erol;Gökhan Seçinti;Berk Canberk

{"title":"Energy-efficient RL-based aerial network deployment testbed for disaster areas","authors":"Mehmet Ariman;Mertkan Akkoç;Talip Tolga Sari;Muhammed Raşit Erol;Gökhan Seçinti;Berk Canberk","doi":"10.23919/JCN.2022.000057","DOIUrl":"https://doi.org/10.23919/JCN.2022.000057","url":null,"abstract":"Rapid deployment of wireless devices with 5G and beyond enabled a connected world. However, an immediate demand increase right after a disaster paralyzes network infrastructure temporarily. The continuous flow of information is crucial during disaster times to coordinate rescue operations and identify the survivors. Communication infrastructures built for users of disaster areas should satisfy rapid deployment, increased coverage, and availability. Unmanned air vehicles (UAV) provide a potential solution for rapid deployment as they are not affected by traffic jams and physical road damage during a disaster. In addition, ad-hoc WiFi communication allows the generation of broadcast domains within a clear channel which eases one-to-many communications. Moreover, using reinforcement learning (RL) helps reduce the computational cost and increases the accuracy of the NP-hard problem of aerial network deployment. To this end, a novel flying WiFi ad-hoc network management model is proposed in this paper. The model utilizes deep-Q-learning to maintain quality-of-service (QoS), increase user equipment (UE) coverage, and optimize power efficiency. Furthermore, a testbed is deployed on Istanbul Technical University (ITU) campus to train the developed model. Training results of the model using testbed accumulates over 90% packet delivery ratio as QoS, over 97% coverage for the users in flow tables, and 0.28 KJ/Bit average power consumption.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"25 1","pages":"25-34"},"PeriodicalIF":3.6,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5449605/10077469/10012517.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49977741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

DISCO: Distributed computation offloading framework for fog computing networks DISCO:雾计算网络的分布式计算卸载框架

IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-01-09 DOI: 10.23919/JCN.2022.000058

Hoa Tran-Dang;Dong-Seong Kim

引用次数: 4

Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G 基于深度学习的6G无线信道估计与信道状态信息反馈研究

IF 3.6 3区计算机科学

Journal of Communications and Networks Pub Date : 2023-01-09 DOI: 10.23919/JCN.2022.000037

Wonjun Kim;Yongjun Ahn;Jinhong Kim;Byonghyo Shim

{"title":"Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G","authors":"Wonjun Kim;Yongjun Ahn;Jinhong Kim;Byonghyo Shim","doi":"10.23919/JCN.2022.000037","DOIUrl":"https://doi.org/10.23919/JCN.2022.000037","url":null,"abstract":"Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great promise in various disciplines such as image classification and segmentation, speech recognition, language translation, among others. This remarkable success of DL has stimulated increasing interest in applying this paradigm to wireless channel estimation in recent years. Since DL principles are inductive in nature and distinct from the conventional rule-based algorithms, when one tries to use DL technique to the channel estimation, one might easily get stuck and confused by so many knobs to control and small details to be aware of. The primary purpose of this paper is to discuss key issues and possible solutions in DL-based wireless channel estimation and channel state information (CSI) feedback including the DL model selection, training data acquisition, and neural network design for 6G. Specifically, we present several case studies together with the numerical experiments to demonstrate the effectiveness of the DL-based wireless channel estimation framework.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"25 1","pages":"61-75"},"PeriodicalIF":3.6,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/5449605/10077469/10012511.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49977738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7