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1 136 Panasonic Technical Journal Vol. 61 No. 2 Nov Radio Propagation and Electromagnetic Field Simulation Techniques for Large-Scale Model using Supercomputer Hiroyuki Uno Tatsunori Yui Hiroyuki Fukuda Hironobu Watanabe Masayuki Anada Yutaka Saito TSUBAME With an abrupt change in the radio wave environment, simulation techniques such as radio propagation analysis and electromagnetic field analysis are becoming ever more significant. This paper shows how a dramatic reduction in the calculation time can be realized by implementing these simulation techniques in the supercomputer TSUBAME. As compared with a stand-alone computer, the calculation time can be reduced to about 1/17th in a radio propagation simulation and a large-scale model with a mesh size of about 25 times can be analyzed in an electromagnetic field simulation. 4LAN 5 [1] IoTInternet of Things WPTWireless Power Transfer [2]WPT [3] TSUBAME 2.5 TSUBAMERay-Launching TSUBAME [4]CPU 2GPU PFLOPS

2 137 TSUBAME 2.5 Specifications of TSUBAME 2.5 Intel eon GHz, 6 cores x 2slot, with Hyper Threading NVIDIA Tesla 2 K20 x 3 54 Gbyte SSD 120 Gbyte QDR Infiniband x 2 (80 Gbit/s) 1408 SUSE Linux 3 Enterprise Server 11 SP3 OpenMPI SIMDSingle Instruction Multiple Data Stream MPIMessage Passing Interface MPI Ray-Launching CPUC++ MPI GPU TSUBAME WPT 1WPT WPT TSUBAME WPT 5 GHz 5 GHz Ray-Launching [5]TSUBAME Ray-Launching Ray-Launching Ray-Launching method simulation SIMD SIMD computer architecture 1InteleonIntel Corp. 2NVIDIATeslaNVIDIA Corp. 3Linus Torvalds Ray-Launching 80 Gbit/s TSUBAME

3 138 Panasonic Technical Journal Vol. 61 No. 2 Nov Ray-Launching Parallel computing technique of Ray-Launching method 2 WPT1 5 GHz WPT5 GHz Ray-Launching mm 5 db 1 TSUBAME Measurement and simulation results of each receiving line Simulation model of case-study house Leaked electromagnetic field and locus of radiating ray

4 TSUBAME GPGPUGeneral-Purpose computing on Graphics Processing Units Calculation time as function of node number [6] 1 TSUBAMEGPU 3.5 GHz mm2315 mm2980 mm Calculation conditions 3.5 GHz 1/4 (a) (b) 24.9 mm mm Z Simulation model of bus

5 Panasonic Technical Journal Vol. 61 No. 2 Nov る 第12図は ルーフ中央裏配置における座席シート有無 による電界分布を示している 第12図より 座席シート の遮蔽によって電界が減衰する傾向や 座席シートから (b) ルーフ中央裏 (a) 前方ダッシュボード上 第9図 の反射波に起因する定在波が生じていることが確認でき る 今後は 乗客などの人体影響の把握やさまざまなア アンテナ配置位置 Fig. 9 Installation position of antenna ンテナ形式の違いによる特性把握を行うことにより ア ンテナの最適な設置位置などを判断できると考えられる 4.2 シミュレーション結果 各アンテナ配置位置におけるアンテナ放射指向性を第 High 図に示す 第図において Y面 水平面 とZ面 垂直面 を示しており アンテナ配置位置によって放 射指向性が大きく変化することが確認できる Z面の放 射指向性より 前方ダッシュボード上配置では前方上方 ルーフ中央裏配置では前後の斜め下方に最大放射方向が a 前方ダッシュボード上 向くことがわかる また 座席シートなどが存在する車 Low 室内においては 多くの反射や回折が生じるため 放射 指向性に放射が落ち込む多数のヌルが発生している Εθ 偏波成分 Y Z Εφ 偏波成分 b ルーフ中央裏 第11図 車両内の電界分布 Fig. 11 Electric field distributions in bus High a 前方ダッシュボード上 Y Z (a) 座席シート有り Low b ルーフ中央裏 第図 (b) アンテナ放射指向性 Fig. Radiation patterns 第12図 座席シート無し 座席シートの電界分布への影響 Fig. 12 Electric field distribution impact of seat 第11図は 各アンテナ配置位置における車両内の電界 分布である それぞれZ面の電界分布であり 図中の丸 ルーフ中央裏配置におけるTSUBAMEの計算ノード数 印の位置にアンテナが配置されている ルーフ中央裏配 に対する計算時間を第13図に示す 計算ノード数を増や 置では 比較的バス車両全体に電界が分布しやすい傾向 すことで計算時間を短縮でき 48ノード以上で解析時間 があるのに対して 前方ダッシュボード上配置では 座 が約5時間となる このように TSUBAMEを用いること 席シートや運転席背面の仕切り板による遮蔽効果により により 約25億メッシュの大規模モデルを約5時間という 車両後方への電界強度が低くなっていることが確認でき 実用的な計算時間で解析することが可能となる 62

6 141 Calculation time as function of node number Oct. 23, 2015 [5] FDTDRay-Launching AP , Nov [6] S. Horiuchi et al., Comparisons of simulated and measured electric field distributions in cabin of a simplified scale car model, IEICE Trans. Commun., vol. E90-B, no. 9, Ray-Launching TSUBAME GPGPU TSUBAME [1] Y. Okumura, 5G mobile radio access system using SHF/EHF Bands, 2014 Asia-Pacific Microwave Conference, FR1A-1, pp.908-9, Dec [2],, B, vol.j96-b, no.9, pp , [3] K. Takagi et al., Analysis of electromagnetic field leaked from wireless power transfer system in case-study house, IEEE Wireless Power Transfer Conference 2015, P2.5, May [4] TSUBAME2 TSUBAME

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