A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels

Ferkan Yilmaz; Mohamed Slim Alouini

doi:10.1109/SIU.2018.8404435

A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels

Ferkan Yilmaz, Mohamed Slim Alouini

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

In the literature, much attention has been devoted to the analysis of maximal-ratio combining (MRC) whose diversity branches are subjected to the balanced noise levels. However, this paper considers the noise imbalanced MRC (NI-MRC), i.e., the multi-branch MRC whose diversity branches are together subjected to some significant imbalance of noise levels due to the estimation error of the noise power knowledges used to maximize combining the signals from diversity branches. To the best of our knowledge, this paper proposes the first analytical approach in the literature to exactly evaluate the bit error rate (BER) of binary modulation schemes over either correlated or uncorrelated fading channels. Based on moment generating function (MGF), the proposed approach is exemplified for the well-known correlated fading conditions, and verified by computer based simulations to elucidate the effect of noise imbalance (NI) on the BER performance.

Original language	English (US)
Title of host publication	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538615010
DOIs	https://doi.org/10.1109/SIU.2018.8404435
State	Published - Jul 5 2018
Event	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: May 2 2018 → May 5 2018

Publication series

Name	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Conference

Conference	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/Territory	Turkey
City	Izmir
Period	05/2/18 → 05/5/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Imperfect noise variance knowledge
Maximal ratio combining
Moment-generating function
Noise imbalance
Symbol error probability

ASJC Scopus subject areas

Artificial Intelligence
Signal Processing
Computer Networks and Communications
Computer Science Applications

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10.1109/SIU.2018.8404435

Cite this

Yilmaz, F., & Alouini, M. S. (2018). A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp. 1-4). (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2018.8404435

Yilmaz, Ferkan ; Alouini, Mohamed Slim. / A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

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abstract = "In the literature, much attention has been devoted to the analysis of maximal-ratio combining (MRC) whose diversity branches are subjected to the balanced noise levels. However, this paper considers the noise imbalanced MRC (NI-MRC), i.e., the multi-branch MRC whose diversity branches are together subjected to some significant imbalance of noise levels due to the estimation error of the noise power knowledges used to maximize combining the signals from diversity branches. To the best of our knowledge, this paper proposes the first analytical approach in the literature to exactly evaluate the bit error rate (BER) of binary modulation schemes over either correlated or uncorrelated fading channels. Based on moment generating function (MGF), the proposed approach is exemplified for the well-known correlated fading conditions, and verified by computer based simulations to elucidate the effect of noise imbalance (NI) on the BER performance.",

keywords = "Imperfect noise variance knowledge, Maximal ratio combining, Moment-generating function, Noise imbalance, Symbol error probability",

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Yilmaz, F & Alouini, MS 2018, A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels. in 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Izmir, Turkey, 05/2/18. https://doi.org/10.1109/SIU.2018.8404435

A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels. / Yilmaz, Ferkan; Alouini, Mohamed Slim.
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Yilmaz F, Alouini MS. A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). doi: 10.1109/SIU.2018.8404435

A useful lemma for bit error rate of the noise imbalanced MRC combining over correlated and uncorrelated fading channels

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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