IEICE TRANSACTIONS on Fundamentals
Acceleration of Tensor Interpolation-Based Radio Map Estimation
Summary :
The radio map of wireless communications should be surveyed in advance when installing base stations to efficiently utilize radio waves. Generally, this is calculated using radio wave propagation simulation. Because the simulation is time-consuming, a tensor-rank minimization-based interpolation method has been proposed as fast method. However, this method interpolates the radio map using an iterative algorithm. The number of iterations required for further acceleration should be reduced; therefore, we propose a tensor interpolation using rank minimization that considers the characteristics of radio wave propagation. Furthermore, we proved that the proposed method could interpolate with fewer iterations than the existing method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.9 pp.1263-1267
- Publication Date
- 2023/09/01
- Publicized
- 2023/03/14
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2022EAL2082
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Makoto OSAWA
Tokyo University of Science
Norisato SUGA
Shibaura Institute of Technology
Keyword
Latest Issue
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Makoto OSAWA, Norisato SUGA, "Acceleration of Tensor Interpolation-Based Radio Map Estimation" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 9, pp. 1263-1267, September 2023, doi: 10.1587/transfun.2022EAL2082.
Abstract: The radio map of wireless communications should be surveyed in advance when installing base stations to efficiently utilize radio waves. Generally, this is calculated using radio wave propagation simulation. Because the simulation is time-consuming, a tensor-rank minimization-based interpolation method has been proposed as fast method. However, this method interpolates the radio map using an iterative algorithm. The number of iterations required for further acceleration should be reduced; therefore, we propose a tensor interpolation using rank minimization that considers the characteristics of radio wave propagation. Furthermore, we proved that the proposed method could interpolate with fewer iterations than the existing method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAL2082/_p
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@ARTICLE{e106-a_9_1263,
author={Makoto OSAWA, Norisato SUGA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Acceleration of Tensor Interpolation-Based Radio Map Estimation},
year={2023},
volume={E106-A},
number={9},
pages={1263-1267},
abstract={The radio map of wireless communications should be surveyed in advance when installing base stations to efficiently utilize radio waves. Generally, this is calculated using radio wave propagation simulation. Because the simulation is time-consuming, a tensor-rank minimization-based interpolation method has been proposed as fast method. However, this method interpolates the radio map using an iterative algorithm. The number of iterations required for further acceleration should be reduced; therefore, we propose a tensor interpolation using rank minimization that considers the characteristics of radio wave propagation. Furthermore, we proved that the proposed method could interpolate with fewer iterations than the existing method.},
keywords={},
doi={10.1587/transfun.2022EAL2082},
ISSN={1745-1337},
month={September},}
Copy
TY - JOUR
TI - Acceleration of Tensor Interpolation-Based Radio Map Estimation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1263
EP - 1267
AU - Makoto OSAWA
AU - Norisato SUGA
PY - 2023
DO - 10.1587/transfun.2022EAL2082
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2023
AB - The radio map of wireless communications should be surveyed in advance when installing base stations to efficiently utilize radio waves. Generally, this is calculated using radio wave propagation simulation. Because the simulation is time-consuming, a tensor-rank minimization-based interpolation method has been proposed as fast method. However, this method interpolates the radio map using an iterative algorithm. The number of iterations required for further acceleration should be reduced; therefore, we propose a tensor interpolation using rank minimization that considers the characteristics of radio wave propagation. Furthermore, we proved that the proposed method could interpolate with fewer iterations than the existing method.
ER -
English
