The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Peta radio komunikasi tanpa wayar harus ditinjau lebih awal apabila memasang stesen pangkalan untuk menggunakan gelombang radio dengan cekap. Secara amnya, ini dikira menggunakan simulasi perambatan gelombang radio. Oleh kerana simulasi memakan masa, kaedah interpolasi berasaskan pengurangan peringkat tensor telah dicadangkan sebagai kaedah pantas. Walau bagaimanapun, kaedah ini menginterpolasi peta radio menggunakan algoritma lelaran. Bilangan lelaran yang diperlukan untuk pecutan selanjutnya hendaklah dikurangkan; oleh itu, kami mencadangkan interpolasi tensor menggunakan pengurangan pangkat yang mempertimbangkan ciri-ciri perambatan gelombang radio. Tambahan pula, kami membuktikan bahawa kaedah yang dicadangkan boleh interpolasi dengan lelaran yang lebih sedikit daripada kaedah sedia ada.
Makoto OSAWA
Tokyo University of Science
Norisato SUGA
Shibaura Institute of Technology
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Salinan
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
Salinan
@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},}
Salinan
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 -