Channel Capacity and BER Estimation of Indoor Optical Wireless Communication System Under Receiver Mobility

2018 ◽  
Vol 39 (4) ◽  
pp. 413-426 ◽  
Author(s):  
Ram Sharma ◽  
Mona Aggarwal ◽  
Swaran Ahuja

Abstract The existing radio frequency technologies face the bandwidth limitation due to the increase in the number of devices being used inside the indoor environment. though, the backbone networks are capable of carrying a large amount of data to the tune of several hundreds of gigabits per second, the last mile techniques, especially the indoor connectivity, continue to pose a challenge in terms of handling large data capacity. The indoor optical wireless communication could be one such promising technology that is potentially capable of handling large amount of data transmission within the indoor environment. The receiver mobility may largely affect the key communication parameters which undergo spatial variations. Therefore, in this paper, we investigate several parameters especially the channel capacity, bit error rate, received pulse power, pulse delay spread and signal-to-noise ratio pertaining to receiver mobility.

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.


2018 ◽  
Vol 43 (13) ◽  
pp. 3132 ◽  
Author(s):  
Ke Wang ◽  
Ampalavanapillai Nirmalathas ◽  
Christina Lim ◽  
Elaine Wong ◽  
Kamal Alameh ◽  
...  

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