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    A Novel Error Performance Analysis Methodology for OFDM-IM

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    Type
    Article
    Authors
    Dang, Shuping
    Ma, Guoqing
    Shihada, Basem cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2019-02-12
    Online Publication Date
    2019-02-12
    Print Publication Date
    2019-06
    Permanent link to this record
    http://hdl.handle.net/10754/631035
    
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    Abstract
    Orthogonal frequency-division multiplexing with index modulation (OFDM-IM) has become a high-profile candidate for the modulation scheme in next generation networks, and many works have been published to analyze it in recent years. Error performance is one of the most important and interesting aspects of OFDM-IM, which has been analyzed in most works. However, most of them employ two key approximations to derive the closed-form expressions of block error rate (BLER) and/or average bit error rate (BER). The first one is to utilize the union bound assisted by the pairwise error probability (PEP) analysis, and the second one is to employ an exponential approximation of Q-function. In this letter, we apply Craig’s formula to analyze the error performance for OFDM-IM in place of the exponential approximation. Because Craig’s formula is the exact expression of Q-function, the accuracy of analytical results regarding error performance for OFDM-IM can be improved. We examine the proposed error performance analysis methodology based on Craig’s formula by investigating both average BLER and BER.
    Citation
    Dang S, Ma G, Shihada B, Alouini M-S (2019) A Novel Error Performance Analysis Methodology for OFDM-IM. IEEE Wireless Communications Letters: 1–1. Available: http://dx.doi.org/10.1109/LWC.2019.2899091.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Wireless Communications Letters
    DOI
    10.1109/LWC.2019.2899091
    arXiv
    1902.06213
    Additional Links
    https://ieeexplore.ieee.org/document/8640102
    ae974a485f413a2113503eed53cd6c53
    10.1109/LWC.2019.2899091
    Scopus Count
    Collections
    Articles; Computer Science Program; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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