Performance Analysis in Grid: A Large Scale Computing Based on Hybrid GMRES Method

Author(s):  
Ye Zhang ◽  
Guy Bergere ◽  
Zifan Liu ◽  
Serge Petiton
2012 ◽  
Vol 23 (2) ◽  
pp. 323-334
Author(s):  
Guo-Feng YAN ◽  
Jian-Xin WANG ◽  
Shu-Hong CHEN

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 632
Author(s):  
Xiaozheng Wang ◽  
Minglun Zhang ◽  
Hongyu Zhou ◽  
Xiaomin Ren

The performance of the underwater optical wireless communication (UOWC) system is highly affected by seawater´s inherent optical properties and the solar radiation from sunlight, especially for a shallow environment. The multipath effect and degradations in signal-to-noise ratio (SNR) due to absorption, scattering, and ambient noises can significantly limit the viable communication range, which poses key challenges to its large-scale commercial applications. To this end, this paper proposes a unified model for underwater channel characterization and system performance analysis in the presence of solar noises utilizing a photon tracing algorithm. Besides, we developed a generic simulation platform with configurable parameters and self-defined scenarios via MATLAB. Based on this platform, a comprehensive investigation of underwater channel impairments was conducted including temporal and spatial dispersion, illumination distribution pattern, and statistical attenuation with various oceanic types. The impact of ambient noise at different operation depths on the bit error rate (BER) performance of the shallow UOWC system was evaluated under typical specifications. Simulation results revealed that the multipath dispersion is tied closely to the multiple scattering phenomenon. The delay spread and ambient noise effect can be mitigated by considering a narrow field of view (FOV) and it also enables the system to exhibit optimal performance on combining with a wide aperture.


IEEE Micro ◽  
2011 ◽  
Vol 31 (3) ◽  
pp. 60-71 ◽  
Author(s):  
Victor Jimenez ◽  
Francisco Cazorla ◽  
Roberto Gioiosa ◽  
Eren Kursun ◽  
Canturk Isci ◽  
...  

2017 ◽  
Vol 4 (6) ◽  
pp. 2172-2185 ◽  
Author(s):  
Xiyuan Liu ◽  
Zhengguo Sheng ◽  
Changchuan Yin ◽  
Falah Ali ◽  
Daniel Roggen

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