Effective Capacity Analysis over Generalized Composite Fading Channels

Seong Ki Yoo, Simon Cotton, Paschalis Sofotasios, Sami Muhaidat, George Karagiannidis

    Research output: Contribution to journalArticlepeer-review

    21 Citations (Scopus)
    46 Downloads (Pure)

    Abstract

    A performance analysis of the effective capacity in two recently proposed generalized composite fading channels, namely $\kappa$-$\mu$ / inverse gamma and $\eta$-$\mu$ / inverse gamma composite fading channels, is conducted. To this end, accurate analytic expressions for the effective capacity are derived along with simple tight bound representations. Additionally, simple approximate expressions at the high average signal-to-noise ratio regime are also provided. The effective capacity is then analyzed for different delay constraint, multipath fading and shadowing conditions. The numerical results show that the achievable spectral efficiency lessens as the multipath fading and shadowing parameters decrease (i.e., severe multipath fading and heavy shadowing become prevalent) or the delay constraint increases. The accuracy and tightness of the proposed bounds is demonstrated and approximate representations are also provided to verify their usefulness. Furthermore, our numerical results are validated through a careful comparison with the simulated results.
    Original languageEnglish
    Article number9119413
    Pages (from-to)123756 - 123764
    Number of pages9
    JournalIEEE Access
    Volume8
    DOIs
    Publication statusPublished - 17 Jun 2020

    Bibliographical note

    This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

    Keywords

    • Channel capacity
    • composite fading
    • effective capacity
    • , η-μ / inverse gamma model
    • κ-μ / inverse gamma model

    Fingerprint

    Dive into the research topics of 'Effective Capacity Analysis over Generalized Composite Fading Channels'. Together they form a unique fingerprint.

    Cite this