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
Dalam surat ini, kaedah pecutan pengesanan sinar (RT) berdasarkan pengecilan pangkat dicadangkan. RT ialah alat umum yang digunakan untuk mensimulasikan persekitaran komunikasi tanpa wayar. Bagaimanapun, simulasi itu memakan masa kerana bilangan pengiraan sinar yang banyak. Surat ini memfokuskan pada interpolasi peta radio sebagai pendekatan pecutan. Dalam kaedah konvensional tidak boleh menganggarkan variasi jangka pendek dengan sewajarnya disebabkan oleh pudar berbilang laluan. Untuk mengatasi kekurangan kaedah konvensional, kami mengguna pakai interpolasi berasaskan pengurangan pangkat. Simulasi pengiraan menggunakan perisian RT komersial mendedahkan bahawa ketepatan interpolasi kaedah yang dicadangkan adalah lebih tinggi daripada kaedah interpolasi peta radio lain dan simulasi RT boleh dipercepatkan lebih kurang lima kali lebih pantas dengan kadar hilang 0.8.
Norisato SUGA
Tokyo University of Science
Ryohei SASAKI
Tokyo University of Technology
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Salinan
Norisato SUGA, Ryohei SASAKI, "Ray Tracing Acceleration using Rank Minimization for Radio Map Simulation" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 8, pp. 1157-1161, August 2022, doi: 10.1587/transfun.2021EAL2085.
Abstract: In this letter, a ray tracing (RT) acceleration method based on rank minimization is proposed. RT is a general tool used to simulate wireless communication environments. However, the simulation is time consuming because of the large number of ray calculations. This letter focuses on radio map interpolation as an acceleration approach. In the conventional methods cannot appropriately estimate short-span variation caused by multipath fading. To overcome the shortage of the conventional methods, we adopt rank minimization based interpolation. A computational simulation using commercial RT software revealed that the interpolation accuracy of the proposed method was higher than those of other radio map interpolation methods and that RT simulation can be accelerated approximate five times faster with the missing rate of 0.8.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAL2085/_p
Salinan
@ARTICLE{e105-a_8_1157,
author={Norisato SUGA, Ryohei SASAKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Ray Tracing Acceleration using Rank Minimization for Radio Map Simulation},
year={2022},
volume={E105-A},
number={8},
pages={1157-1161},
abstract={In this letter, a ray tracing (RT) acceleration method based on rank minimization is proposed. RT is a general tool used to simulate wireless communication environments. However, the simulation is time consuming because of the large number of ray calculations. This letter focuses on radio map interpolation as an acceleration approach. In the conventional methods cannot appropriately estimate short-span variation caused by multipath fading. To overcome the shortage of the conventional methods, we adopt rank minimization based interpolation. A computational simulation using commercial RT software revealed that the interpolation accuracy of the proposed method was higher than those of other radio map interpolation methods and that RT simulation can be accelerated approximate five times faster with the missing rate of 0.8.},
keywords={},
doi={10.1587/transfun.2021EAL2085},
ISSN={1745-1337},
month={August},}
Salinan
TY - JOUR
TI - Ray Tracing Acceleration using Rank Minimization for Radio Map Simulation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1157
EP - 1161
AU - Norisato SUGA
AU - Ryohei SASAKI
PY - 2022
DO - 10.1587/transfun.2021EAL2085
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2022
AB - In this letter, a ray tracing (RT) acceleration method based on rank minimization is proposed. RT is a general tool used to simulate wireless communication environments. However, the simulation is time consuming because of the large number of ray calculations. This letter focuses on radio map interpolation as an acceleration approach. In the conventional methods cannot appropriately estimate short-span variation caused by multipath fading. To overcome the shortage of the conventional methods, we adopt rank minimization based interpolation. A computational simulation using commercial RT software revealed that the interpolation accuracy of the proposed method was higher than those of other radio map interpolation methods and that RT simulation can be accelerated approximate five times faster with the missing rate of 0.8.
ER -