The Joint Impact of Fading Severity, Rotation Angle, and Non-Gaussian Noise on Signal Space Diversity-Based Relaying Networks

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The Joint Impact of Fading Severity, Rotation Angle, and Non-Gaussian Noise on Signal Space Diversity-Based Relaying Networks. / Ilter, M. C.; Sokun, H. U.; Yanikomeroglu, H.; Wichman, R.; Hämäläinen, J.

In: IEEE Access, Vol. 7, 15.08.2019, p. 116162-116171.

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@article{dfa893a379e84123a4335bf5b9938553,
title = "The Joint Impact of Fading Severity, Rotation Angle, and Non-Gaussian Noise on Signal Space Diversity-Based Relaying Networks",
abstract = "This work focuses on the interplay between rotation angle, transmit power, fading severity, and noise impairment severity in signal space diversity-based three time-slot decode-and-forward two-way relaying networks. Specifically, we develop a joint design for rotation angle selection and transmit power allocation, while taking into account the performance impact of fading severities on the channels and noise impairment severities on the receivers. To model different severities of fading and noise impairment, Nakagami distribution and additive non-Gaussian noise are used respectively. The objective in doing so is to promote the reliable reception of end-sources, while satisfying individual and total power budgets as well as average error probability. To this end, we start by deriving average error probabilities of end-sources for non-uniform constellations, which capture all possible signal constellations produced by using various rotation angles. Next, we formulate the joint design problem in an optimization form. Unfortunately, the resulting formulation is a non-convex optimization. To find the solution, we resort to numerical optimization. The numerical results not only validate the derived error probability expressions, but also demonstrate the efficacy of the proposed framework and provide useful insights on the interaction between rotation angle, transmit power, fading severities of the channels, and noise impairment severities at the end-sources.",
keywords = "Cooperative communication, non-uniform constellation, two-way relaying networks, signal space diversity, decode-and-forward, additive non-Gaussian noise, Nakagami distribution",
author = "Ilter, {M. C.} and Sokun, {H. U.} and H. Yanikomeroglu and R. Wichman and J. H{\"a}m{\"a}l{\"a}inen",
year = "2019",
month = "8",
day = "15",
doi = "10.1109/ACCESS.2019.2935692",
language = "English",
volume = "7",
pages = "116162--116171",
journal = "IEEE Access",
issn = "2169-3536",

}

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TY - JOUR

T1 - The Joint Impact of Fading Severity, Rotation Angle, and Non-Gaussian Noise on Signal Space Diversity-Based Relaying Networks

AU - Ilter, M. C.

AU - Sokun, H. U.

AU - Yanikomeroglu, H.

AU - Wichman, R.

AU - Hämäläinen, J.

PY - 2019/8/15

Y1 - 2019/8/15

N2 - This work focuses on the interplay between rotation angle, transmit power, fading severity, and noise impairment severity in signal space diversity-based three time-slot decode-and-forward two-way relaying networks. Specifically, we develop a joint design for rotation angle selection and transmit power allocation, while taking into account the performance impact of fading severities on the channels and noise impairment severities on the receivers. To model different severities of fading and noise impairment, Nakagami distribution and additive non-Gaussian noise are used respectively. The objective in doing so is to promote the reliable reception of end-sources, while satisfying individual and total power budgets as well as average error probability. To this end, we start by deriving average error probabilities of end-sources for non-uniform constellations, which capture all possible signal constellations produced by using various rotation angles. Next, we formulate the joint design problem in an optimization form. Unfortunately, the resulting formulation is a non-convex optimization. To find the solution, we resort to numerical optimization. The numerical results not only validate the derived error probability expressions, but also demonstrate the efficacy of the proposed framework and provide useful insights on the interaction between rotation angle, transmit power, fading severities of the channels, and noise impairment severities at the end-sources.

AB - This work focuses on the interplay between rotation angle, transmit power, fading severity, and noise impairment severity in signal space diversity-based three time-slot decode-and-forward two-way relaying networks. Specifically, we develop a joint design for rotation angle selection and transmit power allocation, while taking into account the performance impact of fading severities on the channels and noise impairment severities on the receivers. To model different severities of fading and noise impairment, Nakagami distribution and additive non-Gaussian noise are used respectively. The objective in doing so is to promote the reliable reception of end-sources, while satisfying individual and total power budgets as well as average error probability. To this end, we start by deriving average error probabilities of end-sources for non-uniform constellations, which capture all possible signal constellations produced by using various rotation angles. Next, we formulate the joint design problem in an optimization form. Unfortunately, the resulting formulation is a non-convex optimization. To find the solution, we resort to numerical optimization. The numerical results not only validate the derived error probability expressions, but also demonstrate the efficacy of the proposed framework and provide useful insights on the interaction between rotation angle, transmit power, fading severities of the channels, and noise impairment severities at the end-sources.

KW - Cooperative communication

KW - non-uniform constellation

KW - two-way relaying networks

KW - signal space diversity

KW - decode-and-forward

KW - additive non-Gaussian noise

KW - Nakagami distribution

U2 - 10.1109/ACCESS.2019.2935692

DO - 10.1109/ACCESS.2019.2935692

M3 - Article

VL - 7

SP - 116162

EP - 116171

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -

ID: 36265248