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    Probabilistic Shaping Based Spatial Modulation for Spectral-Efficient VLC

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    Type
    Article
    Authors
    Kafizov, Amanat cc
    Elzanaty, Ahmed
    Alouini, Mohamed-Slim cc
    KAUST Department
    Electrical and Computer Engineering
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering Program
    Date
    2022-04-12
    Permanent link to this record
    http://hdl.handle.net/10754/676239
    
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    Abstract
    Visible light communication (VLC) is a promising technology for 6th-generation (6G) networks because of its attractive feature such as a wide unlicensed spectrum. In this paper, a novel adaptive coded spatial modulation scheme with probabilistic shaping (PS) is proposed to approach the capacity of the spatial modulation (SM) in VLC channels with intensity modulation and direct detection (IM/DD). In the proposed scheme, spatial and constellation symbols are probabilistically shaped depending on the user’s location inside the room and the optical signal-to-noise ratio (OSNR). Moreover, we optimize the channel coding rate to maximize further the achievable rate of the proposed scheme for a given OSNR. Finally, we propose an algorithm to compute the capacity-achieving distribution of the proposed scheme with unipolar M-ary pulse amplitude modulation (PAM) signaling. The proposed scheme outperforms uniform and an orthogonal frequency-division multiplexing (OFDM) based scheme in terms of spectral efficiency (SE) and/or frame error rate (FER). For example, for 8-PAM signaling with N = 8 transmit antennas, the proposed scheme operates within 0.2 dB from the unipolar M-PAM SM VLC channel signaling capacity and outperforms the uniform and OFDM based schemes in terms of FER by at least 1.1 dB and 1.3 dB at a normalized data rate of 1.33 bits per channel use per sub-carrier (b/cu/sc), respectively.
    Citation
    Kafizov, A., Elzanaty, A., & Alouini, M.-S. (2022). Probabilistic Shaping Based Spatial Modulation for Spectral-Efficient VLC. IEEE Transactions on Wireless Communications, 1–1. https://doi.org/10.1109/twc.2022.3164991
    Publisher
    IEEE
    Journal
    IEEE Transactions on Wireless Communications
    DOI
    10.1109/TWC.2022.3164991
    Additional Links
    https://ieeexplore.ieee.org/document/9756226/
    https://ieeexplore.ieee.org/document/9756226/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9756226
    ae974a485f413a2113503eed53cd6c53
    10.1109/TWC.2022.3164991
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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