Effective Rate over F Composite Fading Channels

Paschalis Sofotasios; Seong Ki Yoo; Simon Cotton; Sami Muhaidat; Javier Lopez-Martinez; Juan Romero-Jerez; George Karagiannidis

doi:10.1109/WCNC.2019.8886144

Effective Rate over F Composite Fading Channels

Paschalis Sofotasios, Seong Ki Yoo, Simon Cotton, Sami Muhaidat, Javier Lopez-Martinez, Juan Romero-Jerez, George Karagiannidis

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

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Abstract

The F composite fading model was recently proposed as an accurate and tractable statistical model for the characterization of the composite fading conditions encountered in realistic wireless communication scenarios. In the present contribution we capitalize on the distinct properties of this composite model to evaluate the achievable effective rate over F composite fading channels. To this end, we derive an exact closed form expression for the effective rate, which is subsequently used as a benchmark for the derivation of tight upper and lower bounds, as well as of an accurate approximation. The derived analytic expressions are provided in closed-form and benefit from being tractable both analytically and numerically. This enables the development of meaningful insights on the effect of fading conditions and/or latency on the overall system performance. Also, it allows the accurate quantification of the signal to noise ratio required in target quality of service requirements under different composite fading conditions.

Original language	English
Title of host publication	IEEE Wireless Communications and Networking Conference (WCNC)
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-5386-7646-2
DOIs	https://doi.org/10.1109/WCNC.2019.8886144
Publication status	Published - 31 Oct 2019
Externally published	Yes
Event	IEEE Wireless Communications and Networking Conference 2019 - Marrakesh, Morocco Duration: 15 Apr 2019 → 18 Apr 2019

Publication series

Name
ISSN (Electronic)	1558-2612

Conference

Conference	IEEE Wireless Communications and Networking Conference 2019
Abbreviated title	WCNC
Country	Morocco
City	Marrakesh
Period	15/04/19 → 18/04/19

Bibliographical note

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

Fading channels
Wireless communication
Shadow mapping
Signal to noise ratio
Quality of service
Channel capacity
Conferences

Access to Document

10.1109/WCNC.2019.8886144

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Cite this

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title = "Effective Rate over F Composite Fading Channels",

abstract = "The F composite fading model was recently proposed as an accurate and tractable statistical model for the characterization of the composite fading conditions encountered in realistic wireless communication scenarios. In the present contribution we capitalize on the distinct properties of this composite model to evaluate the achievable effective rate over F composite fading channels. To this end, we derive an exact closed form expression for the effective rate, which is subsequently used as a benchmark for the derivation of tight upper and lower bounds, as well as of an accurate approximation. The derived analytic expressions are provided in closed-form and benefit from being tractable both analytically and numerically. This enables the development of meaningful insights on the effect of fading conditions and/or latency on the overall system performance. Also, it allows the accurate quantification of the signal to noise ratio required in target quality of service requirements under different composite fading conditions.",

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AU - Muhaidat, Sami

AU - Lopez-Martinez, Javier

AU - Romero-Jerez, Juan

AU - Karagiannidis, George

N1 - © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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N2 - The F composite fading model was recently proposed as an accurate and tractable statistical model for the characterization of the composite fading conditions encountered in realistic wireless communication scenarios. In the present contribution we capitalize on the distinct properties of this composite model to evaluate the achievable effective rate over F composite fading channels. To this end, we derive an exact closed form expression for the effective rate, which is subsequently used as a benchmark for the derivation of tight upper and lower bounds, as well as of an accurate approximation. The derived analytic expressions are provided in closed-form and benefit from being tractable both analytically and numerically. This enables the development of meaningful insights on the effect of fading conditions and/or latency on the overall system performance. Also, it allows the accurate quantification of the signal to noise ratio required in target quality of service requirements under different composite fading conditions.

AB - The F composite fading model was recently proposed as an accurate and tractable statistical model for the characterization of the composite fading conditions encountered in realistic wireless communication scenarios. In the present contribution we capitalize on the distinct properties of this composite model to evaluate the achievable effective rate over F composite fading channels. To this end, we derive an exact closed form expression for the effective rate, which is subsequently used as a benchmark for the derivation of tight upper and lower bounds, as well as of an accurate approximation. The derived analytic expressions are provided in closed-form and benefit from being tractable both analytically and numerically. This enables the development of meaningful insights on the effect of fading conditions and/or latency on the overall system performance. Also, it allows the accurate quantification of the signal to noise ratio required in target quality of service requirements under different composite fading conditions.

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