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    Performance Analysis of DC-offset STBCs for MIMO Optical Wireless Communications

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    Name:
    Thesis Yerzhan Sapenov.pdf
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    Description:
    Final thesis
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    Type
    Thesis
    Authors
    Sapenov, Yerzhan cc
    Advisors
    Alouini, Mohamed-Slim cc
    Committee Members
    Al-Naffouri, Tareq Y. cc
    Genton, Marc G. cc
    Chaaban, Anas cc
    Program
    Electrical Engineering
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2017-04
    Permanent link to this record
    http://hdl.handle.net/10754/623421
    
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    Abstract
    In this report, an optical wireless multiple-input multiple-output communication system employing intensity-modulation direct-detection is considered. The performance of direct current offset space-time block codes (DC-STBC) is studied in terms of pairwise error probability (PEP). It is shown that among the class of DC-STBCs, the worst case PEP corresponding to the minimum distance between two codewords is minimized by repetition coding (RC), under both electrical and optical individual power constraints. It follows that among all DC-STBCs, RC is optimal in terms of worst-case PEP for static channels and also for varying channels under any turbulence statistics. This result agrees with previously published numerical results showing the superiority of RC in such systems. It also agrees with previously published analytic results on this topic under log-normal turbulence and further extends it to arbitrary turbulence statistics. This shows the redundancy of the time-dimension of the DCSTBC in this system. This result is further extended to sum power constraints with static and turbulent channels, where it is also shown that the time dimension is redundant, and the optimal DC-STBC has a spatial beamforming structure. Numerical results are provided to demonstrate the difference in performance for systems with different numbers of receiving apertures and different throughput.
    DOI
    10.25781/KAUST-K0731
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-K0731
    Scopus Count
    Collections
    Theses; Theses; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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