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    Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation

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    Type
    Software
    Authors
    Albinsaid, Hasan
    Singh, Keshav
    Biswas, Sudip
    Li, Chih-Peng
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2020
    Permanent link to this record
    http://hdl.handle.net/10754/667586
    
    Metadata
    Show full item record
    Abstract
    This is a simulation program of Generalized Spatial Modulation (GSM) detector using DNN as the base of the signal detector. Comparing with the conventional methods, the proposed method has better performance of BER. Also, since this method based on DNN that can easily parallelize due to the availability of computation equipment, so the time complexity of the proposed method is also reliable.
    Citation
    Albinsaid, H., Keshav Singh, Sudip Biswas, Chih-Peng Li, & Mohamed-Slim Alouini. (2020). Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation (Version 2.0) [Computer software]. Code Ocean. https://doi.org/10.24433/CO.3589818.V2
    Publisher
    Code Ocean
    DOI
    10.24433/co.3589818.v2
    Additional Links
    https://codeocean.com/capsule/3375420/tree/v2
    Relations
    Is Supplement To:
    • [Article]
      Albinsaid, H., Singh, K., Biswas, S., Li, C.-P., & Alouini, M.-S. (2020). Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation. IEEE Communications Letters, 1–1. doi:10.1109/lcomm.2020.3015810. DOI: 10.1109/lcomm.2020.3015810 Handle: 10754/664608
    ae974a485f413a2113503eed53cd6c53
    10.24433/co.3589818.v2
    Scopus Count
    Collections
    Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Communication Theory Lab; Software; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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