In this paper, we analyze the performance of link-level abstraction for orthogonal frequency-division multiplexing (OFDM) and single-carrier (SC) modes in IEEE 802.11ay wireless systems over the 60GHz millimeter-wave band. In particular, we evaluate the effectiveness of the three existing effective signal-to-noise ratio (SNR) metric (ESM) schemes (i.e., exponential ESM (EESM), mean mutual information per coded bit (MMIB) and post-processing ESM (PPESM)). Furthermore, to deal with the issue that EESM calibration is dominated by channel realizations with poor error performance, we introduce a classification based EESM (CEESM) scheme with a new metric named coefficient of variation, which is used to measure the severity of frequency-selective fading. Finally, we present several important insights developed through extensive experimentation. Based on our validation results, the MMIB and PPESM can be employed with minimum computational complexity for OFDM and SC modes, respectively. In contrast, EESM and CEESM can be considered for both modes with better accuracy, but at a cost of high implementation complexity.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Link-Level Abstraction of IEEE 802.11ay based on Quasi-Deterministic Channel Model from Measurements


    Contributors:
    Varshney, Neeraj (author) / Zhang, Jiayi (author) / Wang, Jian (author) / Bodi, Anuraag (author) / Golmie, Nada (author)


    Publication date :

    2020-11-01


    Size :

    2545398 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    A Quasi-Deterministic Channel Model for Underwater Acoustic Communication Systems

    Yang, Yuxuan / Ma, Yilin / Chang, Hengtai et al. | IEEE | 2024


    High-Level Data-Abstraction System

    Fishwick, P. A. | NTRS | 1986


    UAS behavior modeling based on high level abstraction

    Mansilla, Sonia P. / Tristancho, Joshua | IEEE | 2011

    Free access

    UAS behavior modeling based on high level abstraction

    Mansilla, Sonia P. / Tristancho, Joshua | IEEE | 2011