An Approach for Using a Tensor-Based Method for Mobility-User Pattern Determining
Abstract
:1. Introduction
- We propose the multi-linear model of the data that represent the SINR fluctuations and can be received from the RAN.
- We design a method based on the data decomposition and clustering to determine the user mobility profile within the RAN.
- Simulation results demonstrate that the proposed method effectively identifies user mobility.
2. Background and Related Works
2.1. Architecture O-RAN
2.2. User Mobility Pattern
2.3. SINR Analysis
2.4. Tensor Decomposition in Wireless Communication
3. Model and Method
3.1. The Basis of Tensor Algebra
3.2. The Model of the Multi-Linear Data
3.3. The Method
4. Simulations
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
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Ashaev, I.P.; Safiullin, I.A.; Gaysin, A.K.; Nadeev, A.F.; Korobkov, A.A. An Approach for Using a Tensor-Based Method for Mobility-User Pattern Determining. Inventions 2024, 9, 1. https://doi.org/10.3390/inventions9010001
Ashaev IP, Safiullin IA, Gaysin AK, Nadeev AF, Korobkov AA. An Approach for Using a Tensor-Based Method for Mobility-User Pattern Determining. Inventions. 2024; 9(1):1. https://doi.org/10.3390/inventions9010001
Chicago/Turabian StyleAshaev, Ivan P., Ildar A. Safiullin, Artur K. Gaysin, Adel F. Nadeev, and Alexey A. Korobkov. 2024. "An Approach for Using a Tensor-Based Method for Mobility-User Pattern Determining" Inventions 9, no. 1: 1. https://doi.org/10.3390/inventions9010001