An analytically tractable approximation for the Gaussian Q-function

被引:80
|
作者
Isukapalli, Yogananda [1 ]
Rao, Bhaskar D. [1 ]
机构
[1] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92092 USA
关键词
Gaussian Q-function; Nakagami-m fading; Gaussian approximation;
D O I
10.1109/LCOMM.2008.080815
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this letter we propose an approximation for the Gaussian Q-function that enables simpler evaluation of important communication system performance metrics. The approximation enables derivation of closed-form expressions for metrics such as average symbol, bit and block error probabilities which are known to be analytically involved as they require computation of the expectation of Q-function and its integer powers, for any m of Nakagami-m fading. The tightness of the approximation is verified by simulations. The usefulness of the approximation is demonstrated by obtaining a simple closed-form expression for the average symbol error probability of differentially encoded QIPSK in Nakagami-m fading.
引用
收藏
页码:669 / 671
页数:3
相关论文
共 50 条
  • [31] Proposal of Simple and Accurate Two-Parametric Approximation for the Q-Function
    Nikolic, Jelena
    Peric, Zoran
    Markovic, Aleksandar
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [32] New Approximation Formulas for Tighter Bounds of the Q-Function and its Applications
    Chen, Xiao-Diao
    Yu, Junle
    Ma, Junyi
    Jiang, Nichang
    WIRELESS PERSONAL COMMUNICATIONS, 2021, 121 (03) : 2111 - 2121
  • [33] Tighter bounds on the Gaussian Q-function based on wild horse optimization algorithm
    Etesami, Reza
    Madadi, Mohsen
    JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY, 2025, 19
  • [34] Quadrature-Based Exponential-Type Approximations for the Gaussian Q-Function
    Tanash, Islam M.
    Riihonen, Taneli
    2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING), 2021,
  • [35] Arbitrarily Tight Upper and Lower Bounds on the Gaussian Q-function and Related Functions
    de Abreu, Giuseppe Thadeu Freitas
    2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-8, 2009, : 1944 - 1949
  • [36] Evolving Approximations for the Gaussian Q-function by Genetic Programming with Semantic Based Crossover
    Dao Ngoc Phong
    Nguyen Quang Uy
    Nguyen Xuan Hoai
    McKay, Ri
    2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012,
  • [37] Improved Coefficients for the Karagiannidis-Lioumpas Approximations and Bounds to the Gaussian Q-Function
    Tanash, Islam M.
    Riihonen, Taneli
    IEEE COMMUNICATIONS LETTERS, 2021, 25 (05) : 1468 - 1471
  • [38] Single integral representations of certain integer powers of the Gaussian Q-function and their application
    Simon, MK
    IEEE COMMUNICATIONS LETTERS, 2002, 6 (12) : 532 - 534
  • [39] An Overview of Novel Methods for ASEP Performance Evaluation Based on Q-Function Approximation
    Markovic, Aleksandar, V
    Peric, Zoran H.
    Panic, Stefan R.
    2019 27TH TELECOMMUNICATIONS FORUM (TELFOR 2019), 2019, : 265 - 272
  • [40] An Approximation of the First Order Marcum Q-Function with Application to Network Connectivity Analysis
    Bocus, Mohammud Z.
    Dettmann, Carl P.
    Coon, Justin P.
    IEEE COMMUNICATIONS LETTERS, 2013, 17 (03) : 499 - 502