A new derivation of the Nakagami-m distribution as a composite of the Rayleigh distribution

被引:0
|
作者
Gomez-Deniz, Emilio [1 ,2 ]
Gomez-Deniz, Luis [3 ,4 ]
机构
[1] Univ Las Palmas Gran Canaria, Dept Quantitat Methods Econ, Las Palmas Gran Canaria 35017, Spain
[2] Univ Las Palmas Gran Canaria, TiDES Inst, Las Palmas Gran Canaria 35017, Spain
[3] Univ Las Palmas Gran Canaria, Dept Elect Engn & Automat Control, Las Palmas Gran Canaria 35017, Spain
[4] Univ Las Palmas Gran Canaria, IUCES Inst, Las Palmas Gran Canaria 35017, Spain
关键词
BER; Bivariate; Composite; DPSK; Fading; MSK; Nakagami-m distribution; BIVARIATE RAYLEIGH; K-DISTRIBUTION; STATISTICS;
D O I
10.1007/s11276-024-03713-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile communications systems are affected by what is known as fading, which is a well-known problem largely studied for decades. The direct consequence of fading is the complete loss of signal (or a large decrease of the received power). Rayleigh fading is a reasonable model for wireless channels although, Nakagami-m distribution seems better suited to fitting experimental data. In this paper we obtain the Nakagami-m distribution as a composite (mixture) of the Rayleigh distribution, a result which as far as we know it has not been shown in the literature. This representation of the Nakagami-m distribution facilitates computations of the average BER (Bit Error Rate) for DPSK (Differential Phase Shift Keying) and MSK (Minimum-Shift Keying) modulations for this distribution and higher moments of them, which is of great applicability to modeling wireless fading channels. Furthermore, a simple, not depending on any special function, apart of the Gamma function, bivariate version of the Nakagami-m distribution is also proposed as a special case of the multivariate version which is also presented. The proposed composite distribution is simulated through the standard procedure of summation of phasors, and results for the new closed-form measures for the MSK modulation are also shown. From that it is clear that the alternative formulation of the Nakagami-m distribution allows for easier modeling of fading fading-shadowing wireless channels through the new explicit second order statistics metrics. is well suited for modelling fading-shadowing wireless channels.
引用
收藏
页码:3051 / 3060
页数:10
相关论文
共 50 条
  • [1] An Alternative Approach in Derivation of Nakagami-m Distribution
    Maric, Almir
    Lipovac, Vladimir
    Njemcevic, Pamela
    Kaljic, Enio
    2019 XXVII INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND AUTOMATION TECHNOLOGIES (ICAT 2019), 2019,
  • [2] Nakagami-m approximate distribution of sum of two Nakagami-m correlated variables
    Reig, J
    Cardona, N
    ELECTRONICS LETTERS, 2000, 36 (11) : 978 - 980
  • [3] Fluctuating Nakagami-m Fading Distribution
    Badarneh, Osamah S.
    da Costa, Daniel Benevides
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (04) : 959 - 963
  • [4] Copula of bivariate Nakagami-m distribution
    Liu, X.
    ELECTRONICS LETTERS, 2011, 47 (05) : 343 - 344
  • [5] A New Result for the Distribution of the Sum of Nakagami-m Random Variables
    Dharmawansa, K. D. P.
    Rajatheva, R. M. A. P.
    Ahmed, K. M.
    2006 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-12, 2006, : 5649 - 5653
  • [6] Some statistical characteristics of Nakagami-m distribution
    Popovic, Hana
    Stefanovic, Dimitrije
    Mitic, Aleksandra
    Stefanovic, Ivan
    Stefanovic, Dusan
    TELSIKS 2007: 8TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS IN MODERN SATELLITE, CABLE AND BROADCASTING SERVICES, VOLS 1 AND 2, 2007, : 509 - +
  • [7] On the multivariate Nakagami-m distribution with exponential correlation
    Karagiannidis, GK
    Zogas, DA
    Kotsopoulos, SA
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2003, 51 (08) : 1240 - 1244
  • [8] On higher order statistics of the Nakagami-m distribution
    Yacoub, MD
    Bautista, JEV
    Guedes, LGD
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1999, 48 (03) : 790 - 794
  • [9] On the distribution of the sum of Nakagami-m random variables
    Dharmawansa, Prathapasinghe
    Rajatheva, Nandana
    Ahmed, Kazi
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2007, 55 (07) : 1407 - 1416
  • [10] A NEW APPROACH TO THE DERIVATION OF THE NAKAGAMI DISTRIBUTION
    ALEXANDROV, VD
    RADIOTEKHNIKA I ELEKTRONIKA, 1985, 30 (09): : 1847 - 1848