sergeogrИзвестия Российской академии наук. Серия географическаяIzvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya2587-55662658-697510.31857/S2587556623080058HUJGKJsergeogr-2380Research ArticleТерриториальная организация обществаTerritorial Organization of SocietyГеографическое изучение беспроводной связи 6G: контуры будущих направленийGeographical Study of the 6G Wireless Communications: Outlines of Future DirectionsБлануцаВ. И.BlanutsaV. I.

Иркутск

Irkutsk

blanutsa@list.ruИнститут географии им. В.Б. Сочавы СО РАНРоссияSochava Institute of Geography, Siberian Branch of the Russian Academy of SciencesRussian Federation20230502202487811311142Copyright © Блануца В.И., 20242024Блануца В.И.Blanutsa V.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://izvestia.igras.ru/jour/article/view/2380

По существующим прогнозам, после 2030 г. будет развертываться интеллектуальная, трехмерная, сверхплотная, интегрированная, терабитовая, терагерцовая, тактильная и сенсорно-сканирующая система беспроводной связи шестого поколения (6G). Для нее будут весьма значимы пространственные особенности, что обусловливает необходимость географических исследований. Предпринята попытка определить будущие направления географического изучения сетей 6G на основе сравнения сетевых параметров с существующим опытом познания пространственно-временных особенностей развертывания информационно-коммуникационных сетей. Основное внимание уделено инфраструктуре и генерируемым ею телекоммуникационным услугам. К инфраструктуре отнесены облачные дата-центры, стационарные и мобильные базовые станции, абонентские и роботизированные устройства, излучающие поверхности, сенсоры и другие сетевые элементы. Будущие услуги будут представлены повсеместно подключенным искусственным интеллектом, сенсорным сканированием окружающей среды, голографическим телеприсутствием, расширенной реальностью, тактильной коммуникацией, трехмерным позиционированием и другими сервисами. Предложено развивать географические исследования по следующим направлениям: развертывание пространственно-распределенной сети, инфокоммуникационно-сетевое освоение пространства, идентификация “умных” агломераций и регионов, пространственная диффузия телекоммуникационных услуг, центр-периферийное цифровое неравенство и искусственно-интеллектуальная специализация регионов. Прикладные работы предлагается выполнять по географической экспертизе сетевых проектов, оптимизации линейно-узловой структуры и рекомендации параметров сети 7G. По каждому из девяти направлений приведены общая характеристика и возможное деление на частные направления. В рамках выделенных направлений показана предполагаемая периодизация основных задач исследования от разработки методологии географического познания сетей 6G в 2020-е годы к получению эмпирических результатов в 2030-е годы и последующему их обсуждению для перехода к 7G в 2040-е годы.

 

 

 

 

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.

 

 

 

 

 

 

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The authors declare that there are no conflicts of interest present.