Today: Wednesday, 22 January 2025
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Information Technology
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Computer
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Telecommunications
Wireless positioning system in LTE network.
Volume 4, Issue 3, 2022-2023, Pages 23 - 29
1 پژوهشگر
Abstract :
Wireless positioning system in LTA networks based on C-RAM (cloud radio access networks) introduction, a The proposed architecture for future cellular networks is called CRAM-C or Cloud-RAM, which allows the distribution of RF signals from remote RRH radios, centralized processing of broadband signals in BBU baseband units, and It provides real-time virtualization and cloud computing. For cellular location services, these functions can better support dynamic computing resources, aiming at LTE networks, enhancing user location services in different environments, and increasing the availability of channel and location measurement, and increasing the allocation of bandwidth processing resources. band and more flexible, in this research, statistical population method, statistical sample, sampling and virtual space tools, validity and reliability check, and diagnostic analysis with spatial analysis were used; And the fundamental and applied method is effective, the findings include the proposed algorithm and the improved algorithm, comparing the performance of the two proposed algorithms, test results, statistical analysis of the measurement results in the LTL network, the achievement is that. The simulation results show that the proposed algorithms have performance and improve the efficiency and accuracy of the positioning system in CRAN architecture.
Wireless positioning system in LTA networks based on C-RAM (cloud radio access networks) introduction, a The proposed architecture for future cellular networks is called CRAM-C or Cloud-RAM, which allows the distribution of RF signals from remote RRH radios, centralized processing of broadband signals in BBU baseband units, and It provides real-time virtualization and cloud computing. For cellular location services, these functions can better support dynamic computing resources, aiming at LTE networks, enhancing user location services in different environments, and increasing the availability of channel and location measurement, and increasing the allocation of bandwidth processing resources. band and more flexible, in this research, statistical population method, statistical sample, sampling and virtual space tools, validity and reliability check, and diagnostic analysis with spatial analysis were used; And the fundamental and applied method is effective, the findings include the proposed algorithm and the improved algorithm, comparing the performance of the two proposed algorithms, test results, statistical analysis of the measurement results in the LTL network, the achievement is that. The simulation results show that the proposed algorithms have performance and improve the efficiency and accuracy of the positioning system in CRAN architecture.
Keywords :
Wireless Locator, LTE Locator, Locator System
Wireless Locator, LTE Locator, Locator System
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2024/06/10
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