Geographical Study of the 6G Wireless Communications: Outlines of Future Directions

Author:

Blanutsa V. I.1

Affiliation:

1. Sochava Institute of Geography, Siberian Branch of the Russian Academy of Sciences

Abstract

According to existing forecasts, after 2030, an intelligent, three-dimensional, ultra-dense, integrated, terabyte, terahertz, tactile, and touch-scanning wireless communication system of the sixth generation (6G) will be deployed. Spatial features will be very significant for it, which necessitates geographical research. Therefore, an attempt has been made to determine the future directions of the geographical study of 6G networks based on a comparison of network parameters with the existing experience of knowing the spatial and temporal features of the deployment of information and communication networks. The main attention is paid to the infrastructure and the telecommunication services. The infrastructure includes cloud data centers, stationary and mobile base stations, subscriber and robotic devices, radiating surfaces, sensors, and other network elements. Future services will be represented by ubiquitously connected artificial intelligence, sensory scanning of the environment, holographic telepresence, augmented reality, tactile communication, three-dimensional positioning, and other services. It is proposed to develop geographical research in the following areas: deployment of a spatially distributed network; info-communication-network development of space; identification of “smart” agglomerations and regions; spatial diffusion of telecommunications services; center-peripheral digital inequality; and artificial intelligence specialization of regions. Applied work is proposed to be carried out on the geographical expertise of network projects, optimization of the linear-node structure and recommendations of the 7G network parameters. For each of the nine directions, general characteristics and possible division into particular directions are given. Within the framework of the selected directions, the proposed periodization of the main research tasks is shown from the development of a methodology for geographical cognition of 6G networks in the 2020s to obtaining empirical results in the 2030s and their subsequent discussion for the transition to 7G in the 2040s.

Publisher

The Russian Academy of Sciences

Reference45 articles.

1. Блануца В.И. Развертывание информационно-коммуникационной сети как географический процесс (на примере становления сетевой структуры сибирской почты). М.: ИНФРА-М, 2016. 246 с.

2. Блануца В.И. Информационно-сетевая география. М.: ИНФРА-М, 2019. 243 с.

3. Блануца В.И. Географическая экспертиза стратегий экономического развития России. М.: ИН-ФРА‑М, 2021. 198 с.

4. Блануца В.И. Общественная география: цифровые приоритеты XXI века. М.: ИНФРА-М, 2022. 252 с.

5. Герасимов И.П. Советская конструктивная география: задачи, подходы, результаты. М.: Наука, 1976. 208 с.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3