Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels

Ferkan Yilmaz; Mohamed Slim Alouini

doi:10.1109/WCNC.2014.6952286

Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels

Ferkan Yilmaz, Mohamed Slim Alouini

Elektronik ve Hab.Müh.Bölümü

King Abdullah University of Science and Technology

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

The main idea in the moment generating function (MGF) approach is to alternatively express the conditional bit error probability (BEP) in a desired exponential form so that possibly multi-fold performance averaging is readily converted into a computationally efficient single-fold averaging - sometimes into a closed-form - by means of using the MGF of the signal-to-noise ratio. However, as presented in [1] and specifically indicated in [2] and also to the best of our knowledge, there does not exist an MGF-based approach in the literature to represent Wojnar's generic BEP expression in a desired exponential form. This paper presents novel MGF-based expressions for calculating the average BEP of binary signalling over generalized fading channels, specifically by expressing Wojnar's generic BEP expression in a desirable exponential form. We also propose MGF-based expressions to explore the amount of dispersion in the BEP for binary signalling over generalized fading channels.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	IEEE Wireless Communications and Networking Conference, WCNC
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1121-1125
Sayfa sayısı	5
ISBN (Elektronik)	9781479930838
DOI'lar	https://doi.org/10.1109/WCNC.2014.6952286
Yayın durumu	Yayınlandı - 3 Nis 2016
Etkinlik	2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey Süre: 6 Nis 2014 → 9 Nis 2014

Yayın serisi

Adı	IEEE Wireless Communications and Networking Conference, WCNC
ISSN (Basılı)	1525-3511

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	6/04/14 → 9/04/14

Bibliyografik not

Publisher Copyright:
© 2014 IEEE.

Belgeye Erişim

10.1109/WCNC.2014.6952286

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Yilmaz, F., & Alouini, M. S. (2016). Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels. In IEEE Wireless Communications and Networking Conference, WCNC (pp. 1121-1125). Makale 6952286 (IEEE Wireless Communications and Networking Conference, WCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2014.6952286

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title = "Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels",

abstract = "The main idea in the moment generating function (MGF) approach is to alternatively express the conditional bit error probability (BEP) in a desired exponential form so that possibly multi-fold performance averaging is readily converted into a computationally efficient single-fold averaging - sometimes into a closed-form - by means of using the MGF of the signal-to-noise ratio. However, as presented in [1] and specifically indicated in [2] and also to the best of our knowledge, there does not exist an MGF-based approach in the literature to represent Wojnar's generic BEP expression in a desired exponential form. This paper presents novel MGF-based expressions for calculating the average BEP of binary signalling over generalized fading channels, specifically by expressing Wojnar's generic BEP expression in a desirable exponential form. We also propose MGF-based expressions to explore the amount of dispersion in the BEP for binary signalling over generalized fading channels.",

keywords = "Binary modulated signalling, correlated fading channels, diversity receivers, maximal-ratio combining, moment generating function, moment generating function-based performance analysis, Wojnar's generic bit error probability expression",

author = "Ferkan Yilmaz and Alouini, {Mohamed Slim}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 ; Conference date: 06-04-2014 Through 09-04-2014",

year = "2016",

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day = "3",

doi = "10.1109/WCNC.2014.6952286",

language = "English",

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Yilmaz, F & Alouini, MS 2016, Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels. in IEEE Wireless Communications and Networking Conference, WCNC., 6952286, IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers Inc., pp. 1121-1125, 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014, Istanbul, Turkey, 6/04/14. https://doi.org/10.1109/WCNC.2014.6952286

Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels. / Yilmaz, Ferkan; Alouini, Mohamed Slim.
IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1121-1125 6952286 (IEEE Wireless Communications and Networking Conference, WCNC).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels

AU - Yilmaz, Ferkan

AU - Alouini, Mohamed Slim

PY - 2016/4/3

Y1 - 2016/4/3

N2 - The main idea in the moment generating function (MGF) approach is to alternatively express the conditional bit error probability (BEP) in a desired exponential form so that possibly multi-fold performance averaging is readily converted into a computationally efficient single-fold averaging - sometimes into a closed-form - by means of using the MGF of the signal-to-noise ratio. However, as presented in [1] and specifically indicated in [2] and also to the best of our knowledge, there does not exist an MGF-based approach in the literature to represent Wojnar's generic BEP expression in a desired exponential form. This paper presents novel MGF-based expressions for calculating the average BEP of binary signalling over generalized fading channels, specifically by expressing Wojnar's generic BEP expression in a desirable exponential form. We also propose MGF-based expressions to explore the amount of dispersion in the BEP for binary signalling over generalized fading channels.

AB - The main idea in the moment generating function (MGF) approach is to alternatively express the conditional bit error probability (BEP) in a desired exponential form so that possibly multi-fold performance averaging is readily converted into a computationally efficient single-fold averaging - sometimes into a closed-form - by means of using the MGF of the signal-to-noise ratio. However, as presented in [1] and specifically indicated in [2] and also to the best of our knowledge, there does not exist an MGF-based approach in the literature to represent Wojnar's generic BEP expression in a desired exponential form. This paper presents novel MGF-based expressions for calculating the average BEP of binary signalling over generalized fading channels, specifically by expressing Wojnar's generic BEP expression in a desirable exponential form. We also propose MGF-based expressions to explore the amount of dispersion in the BEP for binary signalling over generalized fading channels.

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KW - correlated fading channels

KW - diversity receivers

KW - maximal-ratio combining

KW - moment generating function

KW - moment generating function-based performance analysis

KW - Wojnar's generic bit error probability expression

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Yilmaz F, Alouini MS. Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels. In IEEE Wireless Communications and Networking Conference, WCNC. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1121-1125. 6952286. (IEEE Wireless Communications and Networking Conference, WCNC). doi: 10.1109/WCNC.2014.6952286

Novel MGF-based expressions for the average bit error probability of binary signalling over generalized fading channels

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Belgeye Erişim

Diğer Dosyalar ve Linkler

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