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    Information Theoretical Limits of Free-Space Optical Links

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    Type
    Book Chapter
    Authors
    Ansari, Imran Shafique cc
    Al-Quwaiee, Hessa cc
    Zedini, Emna cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2016-08-26
    Online Publication Date
    2016-08-26
    Print Publication Date
    2016
    Permanent link to this record
    http://hdl.handle.net/10754/622147
    
    Metadata
    Show full item record
    Abstract
    Generalized fading has been an imminent part and parcel of wireless communications. It not only characterizes the wireless channel appropriately but also allows its utilization for further performance analysis of various types of wireless communication systems. Under the umbrella of generalized fading channels, a unified ergodic capacity analysis of a free-space optical (FSO) link under both types of detection techniques (i.e., intensity modulation/direct detection (IM/DD) as well as heterodyne detection) over generalized atmospheric turbulence channels that account for generalized pointing errors is presented. Specifically, unified exact closed-form expressions for the moments of the end-to-end signal-to-noise ratio (SNR) of a single link FSO transmission system are presented. Subsequently, capitalizing on these unified statistics, unified exact closed-form expressions for ergodic capacity performance metric of FSO link transmission systems is offered. Additionally, for scenarios wherein the exact closed-form solution is not possible to obtain, some asymptotic results are derived in the high SNR regime. All the presented results are verified via computer-based Monte-Carlo simulations.
    Citation
    Ansari IS, AlQuwaiee H, Zedini E, Alouini M-S (2016) Information Theoretical Limits of Free-Space Optical Links. Signals and Communication Technology: 171–208. Available: http://dx.doi.org/10.1007/978-3-319-30201-0_9.
    Publisher
    Springer Nature
    Journal
    Signals and Communication Technology
    DOI
    10.1007/978-3-319-30201-0_9
    Additional Links
    http://link.springer.com/chapter/10.1007%2F978-3-319-30201-0_9
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-319-30201-0_9
    Scopus Count
    Collections
    Electrical and Computer Engineering Program; Book Chapters; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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