scholarly journals Cooperative Selection and Communications for Internet of Everything in 6G Ultra-mMTC IoT Networks

Author(s):  
He Huang ◽  
Su Hu

<p>Although Cooperative Communications (CC) already exists in 4G LTE/5G, performance improvement is just not enough, hence, how to apply collaborative technology in 6G to achieve Internet of Everything and improve communication quality significantly is one of most important issues. As 5G communications standard has gradually established recently, CC has been one of most critical communication technologies which plays a founding role on Internet of Everything in 6G networks. Thus, in this study we propose new 6G enabled ultra-massive Machine Type Communication (mMTC) framework based on space-ground integrated networks, and consider that collaborative ideology has been regarded as foundation theory which widely exists in future multiple hybrid scenarios, such as, Cognitive-Internet of Things (C-IoT) networks, UAVs (Unmanned Aerial Vehicles) communications, air-space-ground integrated networks, underwater acoustic communication and so on. Besides, we discuss other key communication technologies that are closely combined with unique communication scenes, and elaborate critical problems that shall be solved in 6G ultra-mMTC Internet of Everything networks. Furthermore, we discuss extreme low-complexity and fast ultra-massive relays selection algorithm to apply in all sorts of future 6G scenarios. At last, it is concluded that for arbitrary two communication points (source/destination devices, sensors, relays, IoT nodes and so on), ideology of nodes selection of collaborative communication is theory of foundation to realize and optimize communication transmission in 6G Internet of Everything ultra-mMTC networks. </p>

2021 ◽  
Author(s):  
He Huang ◽  
Su Hu

<p>Although Cooperative Communications (CC) already exists in 4G LTE/5G, performance improvement is just not enough, hence, how to apply collaborative technology in 6G to achieve Internet of Everything and improve communication quality significantly is one of most important issues. As 5G communications standard has gradually established recently, CC has been one of most critical communication technologies which plays a founding role on Internet of Everything in 6G networks. Thus, in this study we propose new 6G enabled ultra-massive Machine Type Communication (mMTC) framework based on space-ground integrated networks, and consider that collaborative ideology has been regarded as foundation theory which widely exists in future multiple hybrid scenarios, such as, Cognitive-Internet of Things (C-IoT) networks, UAVs (Unmanned Aerial Vehicles) communications, air-space-ground integrated networks, underwater acoustic communication and so on. Besides, we discuss other key communication technologies that are closely combined with unique communication scenes, and elaborate critical problems that shall be solved in 6G ultra-mMTC Internet of Everything networks. Furthermore, we discuss extreme low-complexity and fast ultra-massive relays selection algorithm to apply in all sorts of future 6G scenarios. At last, it is concluded that for arbitrary two communication points (source/destination devices, sensors, relays, IoT nodes and so on), ideology of nodes selection of collaborative communication is theory of foundation to realize and optimize communication transmission in 6G Internet of Everything ultra-mMTC networks. </p>


2015 ◽  
Vol 781 ◽  
pp. 3-6
Author(s):  
Sophonwit Somchai ◽  
Jirun Potinakkha ◽  
Nararat Ruangchaijatupon ◽  
V. Prasertchareonsuk ◽  
M. Leeprakobboon ◽  
...  

This paper shows the feasibility analysis of the 4th generation (4G) telecommunication system on 800-900 MHz spectrum. It applies the Long-Term Evolution (LTE) wireless communication and makes a feasibility design of cell site placement. An academic community is selected as a studied site because the high usage of advanced communication technologies. Due to the variety of population density, age, and gender, Khon Kaen University is chosen. This paper also suggests the model for cell site installation and cell site positions in Khon Kaen University area.


2020 ◽  
Vol 17 (3) ◽  
pp. 67-78
Author(s):  
O. V. Manzhula

The article considers the issues of using new information and communication technologies (ICTs) when conducting the Russian Census related to the introduction of mobile devices and the Internet, which provide new opportunities for improving the quality and timeliness of the collecting and primary processing of statistical information about the population.In 2010, the Russian Census was conducted in the Russian Federation, which had many differences from previous censuses. All the technological stages of Russian Census – 2010 were automated starting from the development of machine-readable forms of census questionnaires and up to the preparation of publications of its outcomes.In the course of the trial population census held in 2018, ROSSTAT first combined the use of the Internet and mobile devices for collecting the information about the population. So, from October 1 to October 10, 2018 an online census was conducted for the whole country. Then, from October 11 to October 14, 2018 the information collected during the online census was processed, from October 15 to October 31, 2018, a survey was conducted by census takers in the regions of the trial population census – 2018 with the use of tablets and machine-readable documents. However, as the experience of the trial population census – 2018 demonstrated, one method of collecting information about the population cannot be equally efficient in all regions of Russia, due to the different attitude of the population to the methods of collecting information, as well as the conditions for the availability of information and communication technologies (ICTs) to the population in each region.The experience gained indicates the need for each region to choose the method of collecting and primary processing of statistical information about the population for each region based on a combination of Internet, mobile and traditional technologies that is adaptive to the regional conditions of the population census (remoteness and inaccessibility of some regions, the unreadiness of individual segments of the population to use modern ICTs for collecting information, Internet accessibility in various regions, different attitude of the population to census methods). The solution of this problem is an important condition for increasing the coverage of the population, the accuracy and reliability of the results and reducing the cost of conducting a census in each subject of Russia.The use of new information and communication technologies related to introduction of mobile devices and the Internet opens up new opportunities for improving the quality and timeliness of the collection and primary processing of statistical information about the population. However, with the development of census technologies, the number of alternative options for organizing it is growing. All this makes it necessary to justify the selection of a rational method of collecting and primary processing of statistical information about the population based on the regional characteristics of the development and accessibility of ICT, the consent of the population to interact with public authorities through the Public Services Portal, availability of ICTs in households. The validity of this choice is associated with the use of methods and decision-making models that are adequate to the peculiarities of the task.Purpose. Development of models for the selection of the rational method of collecting and primary processing of information of the Russian Census for each region of Russia using mobile devices and Internet technologies that correspond to the existing technological environment and the specificities of organizing Russian Census processes.Materials and methods. In the process of performing the preset tasks, methods of system and statistical analysis, expert assessment and systems, the fuzzy-set theory and cluster analysis were used. Calculations were carried out using MS Excel application software packages and IBM SPSS STATISTICS statistical software package.Results. The scientific article describes the developed expert system and models for substantiating a rational method of collecting and processing primary information in each Russian region based on their clustering according to the features characterizing the level of ICT development and their accessibility to the population in each region, the population's consent to cooperate with governmental authorities through the Public Services Portal, accessibility of ICT use in households and identifying the compliance of possibilities provided by alternative methods of collecting and processing the information on the population to the characteristics of readiness of the population, census personnel and territorial state statistics agency for conducting a census using modern ICTs and the limitations on the cost of conducting Russian Census in each region.Conclusion. The paper discusses the methodology that allows for the implementation of basic concept of the Russian Census, which is to ensure maximum coverage of the population while making informed management decisions on the choice of methods for collecting and primary processing of Russian Census information in each region of Russia, taking into account regional characteristics of the development and accessibility of ICTs, the consent of the population to interaction with public authorities through the Public Services Portal, access to ICTs in households.


Author(s):  
Alla Hafiiak ◽  
Marina Dyachenko-Bohun ◽  
Olexander Mikheienko ◽  
Andrii Tkachenko

The article describes the creation of pedagogical conditions for the formation of professional competence of the future specialists majoring in information and communication technologies. The purpose of this article is to investigate the conditions facilitating the formation of professional competence of future specialists majoring in information and communication technologies, to create and use application software aimed at increasing the efficiency as well as the degree of automation for providing educational services. According to the purpose, the following tasks have been assigned: pedagogical conditions for the formation of the professional competence of future specialists majoring in information and communication technologies have been proposed; the complex of circumstances necessary for ensuring positive dynamics in the formation of the professional competence of future specialists majoring in information and communication technologies has been studied; some ways of improving the formation of the professional competence of future specialists majoring in information and communication technologies have been considered; the ways of raising the professional skills level (proficiency level) of higher education applicants through the development of software applications for educational purposes have been analysed; the project alongside with the software that automates and optimizes the tasks of the subjects of the educational process as well as provides an opportunity to receive relevant and timely information concerning the organization of the educational process have been elaborated; a client-centred education schedule for students of higher education institutions has been developed, taking into account the specificities of the optimal online route. The project includes the following stages: preparatory (cognitive-information), selection of days, time, audience (issues), hierarchyzation of these issues, selection of starting and ending points of the route, after which the route scheme and its optimization are developed. The development of the route scheme and the elaboration of its software are inextricably linked parallel processes. Keywords: information system, specialists, software, higher education institution, information and communication technologies.


Author(s):  
Valérie Fernandez ◽  
Laurie Marrauld

In this chapter, the authors present the project “WITE 2.0.” This project is at the crossroads of various issues related to mobility (Urry, 2007) and use of Information and Communication Technologies. WITE 2.0 is a part of the designing process of a collaborative communication tool: “a virtualized and unified platform.” The authors define scenarios of teleworking practices, “equipped” by ICTs, and use these scenarios to better specify the platform. The project started at the end of 2010 and continued for a period of 18 months. The analysis is based on several complementary methodologies: a qualitative study (47 semi-structured interviews) and an experimentation of the platform. They present the main results of the interview survey through the following themes: remote management, skills, articulation of private and professional spheres, and the maturity of technologies. The authors also describe how these elements help the understanding of the evolution of workers’ practices.


2018 ◽  
Vol 8 (12) ◽  
pp. 2512 ◽  
Author(s):  
Ghouthi Boukli Hacene ◽  
Vincent Gripon ◽  
Nicolas Farrugia ◽  
Matthieu Arzel ◽  
Michel Jezequel

Deep learning-based methods have reached state of the art performances, relying on a large quantity of available data and computational power. Such methods still remain highly inappropriate when facing a major open machine learning problem, which consists of learning incrementally new classes and examples over time. Combining the outstanding performances of Deep Neural Networks (DNNs) with the flexibility of incremental learning techniques is a promising venue of research. In this contribution, we introduce Transfer Incremental Learning using Data Augmentation (TILDA). TILDA is based on pre-trained DNNs as feature extractors, robust selection of feature vectors in subspaces using a nearest-class-mean based technique, majority votes and data augmentation at both the training and the prediction stages. Experiments on challenging vision datasets demonstrate the ability of the proposed method for low complexity incremental learning, while achieving significantly better accuracy than existing incremental counterparts.


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