Accurate Asymptotic Characterization of α-k-μ Shadowed Fading Channel With Application to Secure URLLC

被引：1

作者：

Wu, Teng ^{[1
,2
]}

Zeng, Jie ^{[2
,3
]}

Ye, Neng ^{[3
]}

Feng, Wei ^{[4
]}

Lv, Tiejun ^{[5
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China

[2] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China

[3] Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China

[4] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

[5] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2023年 / 27卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Accurate asymptotic characterization method; alpha-kappa-mu shadowed fading channel; massive multiple-input multiple-output (MIMO); secure ultra-reliable and low latency communications (URLLC); STATISTICAL CHARACTERIZATION; MIMO;

D O I：

10.1109/LCOMM.2023.3247012

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 a novel characterization method of alpha-kappa-mu shadowed fading channel. For both the single alpha-kappa-mu shadowed random variable (RV) and the sum of independent identically distributed alpha-kappa-mu shadowed RVs, we accurately derive asymptotic closed-form expressions of their probability density functions (PDFs), cumulative distribution functions (CDFs), and moment-generating functions (MGFs) in this method. Moreover, we analyze the secure ultra-reliable and low latency communications (URLLC) in terms of average information leakage (AIL) in the massive multiple-input multiple-output (MIMO) system based on the proposed method. Numerical results of the proposed theory analysis are supported by Monte-Carlo simulations to validate the accuracy of the derivation.

引用

页码：1100 / 1104

页数：5

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