Performance analysis of a threshold-based parallel multiple beam selection scheme for WDM-based systems for Gamma-Gamma distributions
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Online Publication Date2017-03-02
Print Publication Date2017-01
Permanent link to this recordhttp://hdl.handle.net/10754/623202
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AbstractIn this paper, we statistically analyze the performance of a threshold-based parallel multiple beam selection scheme (TPMBS) for Free-space optical (FSO) based system with wavelength division multiplexing (WDM) in cases where a pointing error has occurred for practical consideration over independent identically distributed (i.i.d.) Gamma-Gamma fading conditions. Specifically, we statistically analyze the characteristics in operation under conventional heterodyne detection (HD) scheme for both adaptive modulation (AM) case in addition to non-AM case (i.e., coherentnon-coherent binary modulation). Then, based on the statistically derived results, we evaluate the outage probability (CDF) of a selected beam, the average spectral efficiency (ASE), the average number of selected beams (ANSB), and the average bit error rate (BER). Some selected results shows that we can obtain the higher spectral efficiency and simultaneously reduce the potential increasing of the complexity of implementation caused by applying the selection based beam selection scheme without a considerable performance loss.
CitationSung Sik Nam, Chang Seok Yoon, Alouini M-S (2017) Performance analysis of a threshold-based parallel multiple beam selection scheme for WDM-based systems for Gamma-Gamma distributions. 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC). Available: http://dx.doi.org/10.1109/CCWC.2017.7868432.
SponsorsThis work was supported in part by Hanyang University and in part by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government (MSIP) (No.B0126-15-1076, “Development of nonpowered technology combined with ambient RF energy harvesting and Backscatter data transfer”).