Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional space

Due to the rapid development of services such as computer multi-dimensional space, traditional cellular networks are quantified and diversified, and it is difficult to meet the future connection needs of green network users. The heterogeneous cellular network algorithm places multiple microcells and...

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Main Author: Yu Jianxi
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Measurement: Sensors
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266591742300257X
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author Yu Jianxi
author_facet Yu Jianxi
author_sort Yu Jianxi
collection DOAJ
description Due to the rapid development of services such as computer multi-dimensional space, traditional cellular networks are quantified and diversified, and it is difficult to meet the future connection needs of green network users. The heterogeneous cellular network algorithm places multiple microcells and relay nodes under the macrocell. This multi-layer network architecture can not only shorten the data transmission link, but also reduce the energy consumption of base stations and terminals. In addition, through spectrum space reuse Capability and spectrum efficiency improve the efficiency of the system, but this also increases the number of base stations and network construction costs, and significantly increases energy consumption and operating costs of operators' electricity expenditures. In addition, in order to achieve parallel transmission of data, placing multiple millimeter wave input and output antenna systems in heterogeneous network microcells can meet the high-speed data needs of indoor users, but the antenna array requires many RF links to drive, which increases the hardware implementation. Complexity, cost and energy consumption. According to the above-mentioned problems, a reconfigurable modular robot is established based on the multi-dimensional computer space. It is composed of modules with the same interface and can be assembled into different configurations according to different tasks. Compared with the original robot, the reconfigurable modular robot is more adaptable to the work and environment, and flexible. Then the basic and core technologies such as kinematics, type synthesis, scale synthesis, error and control of the reconfigurable modular robot are mathematically modeled, so as to effectively apply and promote the reconfigurable modular robot in practice, and make it has theoretical and practical value.
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spelling doaj.art-dfea9f99591946c290a4c7c9eaf968e52023-11-26T05:13:50ZengElsevierMeasurement: Sensors2665-91742023-12-0130100921Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional spaceYu Jianxi0Henan Institute of Economics and Trade, Zhengzhou, 450046, ChinaDue to the rapid development of services such as computer multi-dimensional space, traditional cellular networks are quantified and diversified, and it is difficult to meet the future connection needs of green network users. The heterogeneous cellular network algorithm places multiple microcells and relay nodes under the macrocell. This multi-layer network architecture can not only shorten the data transmission link, but also reduce the energy consumption of base stations and terminals. In addition, through spectrum space reuse Capability and spectrum efficiency improve the efficiency of the system, but this also increases the number of base stations and network construction costs, and significantly increases energy consumption and operating costs of operators' electricity expenditures. In addition, in order to achieve parallel transmission of data, placing multiple millimeter wave input and output antenna systems in heterogeneous network microcells can meet the high-speed data needs of indoor users, but the antenna array requires many RF links to drive, which increases the hardware implementation. Complexity, cost and energy consumption. According to the above-mentioned problems, a reconfigurable modular robot is established based on the multi-dimensional computer space. It is composed of modules with the same interface and can be assembled into different configurations according to different tasks. Compared with the original robot, the reconfigurable modular robot is more adaptable to the work and environment, and flexible. Then the basic and core technologies such as kinematics, type synthesis, scale synthesis, error and control of the reconfigurable modular robot are mathematically modeled, so as to effectively apply and promote the reconfigurable modular robot in practice, and make it has theoretical and practical value.http://www.sciencedirect.com/science/article/pii/S266591742300257XHeterogeneous cellsNetwork algorithmsComputer multidimensional spaceMathematical modeling
spellingShingle Yu Jianxi
Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional space
Measurement: Sensors
Heterogeneous cells
Network algorithms
Computer multidimensional space
Mathematical modeling
title Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional space
title_full Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional space
title_fullStr Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional space
title_full_unstemmed Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional space
title_short Mathematical modeling method based on heterogeneous cellular network algorithm and computer multi-dimensional space
title_sort mathematical modeling method based on heterogeneous cellular network algorithm and computer multi dimensional space
topic Heterogeneous cells
Network algorithms
Computer multidimensional space
Mathematical modeling
url http://www.sciencedirect.com/science/article/pii/S266591742300257X
work_keys_str_mv AT yujianxi mathematicalmodelingmethodbasedonheterogeneouscellularnetworkalgorithmandcomputermultidimensionalspace