Capacity analysis under generalized composite fading conditions

Paschalis Sofotasios; Seong Ki Yoo; Nidhi Bhargav; Sami Muhaidat; Simon Cotton; Michail Matthaiou; Mikko Valkama; George Karagiannidis

doi:10.1109/commnet.2018.8360282

Capacity analysis under generalized composite fading conditions

Paschalis Sofotasios, Seong Ki Yoo, Nidhi Bhargav, Sami Muhaidat, Simon Cotton, Michail Matthaiou, Mikko Valkama, George Karagiannidis

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

3 Citations (Scopus)

25 Downloads (Pure)

Abstract

Novel composite fading models were recently proposed based on inverse gamma distributed shadowing conditions. These models were extensively shown to provide remarkable modeling of the simultaneous occurrence of multipath fading and shadowing phenomena in emerging wireless scenarios such as cellular, off-body and vehicle-to-vehicle communications. Furthermore, the algebraic representation of these models is rather tractable, which renders them convenient to handle both analytically and numerically. The present contribution presents the major theoretical and practical characteristics of the η - μ / inverse gamma composite fading model, followed by a thorough ergodic capacity analysis. To this end, novel analytic expressions are derived, which are subsequently used in the evaluation of the corresponding system performance. In this context, the offered results are compared with respective results from cases assuming conventional fading conditions, which leads to the development of numerous insights on the effect of the multipath fading and shadowing severity on the achieved capacity levels. It is expected that these results will be useful in the design of timely and highly demanding wireless technologies, such as wearable, cellular and inter-vehicular communications as well in wireless power transfer based applications in the context of the Internet of Things.

Original language	English
Title of host publication	2018 International Conference on Advanced Communication Technologies and Networking (CommNet)
Publisher	IEEE
Number of pages	10
ISBN (Electronic)	9781538646090
DOIs	https://doi.org/10.1109/commnet.2018.8360282
Publication status	Published - 17 May 2018
Externally published	Yes
Event	2018 International Conference on Advanced Communication Technologies and Networking - Marrakech, Morocco Duration: 2 Apr 2018 → 4 Apr 2018 http://commnet-conf.org/pastEvents/CommNet18/index.php

Conference

Conference	2018 International Conference on Advanced Communication Technologies and Networking
Abbreviated title	CommNet 2018
Country	Morocco
City	Marrakech
Period	2/04/18 → 4/04/18
Internet address	http://commnet-conf.org/pastEvents/CommNet18/index.php

Bibliographical note

© 2018 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.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

Keywords

Wireless Communications
Vehicle-to-Vehicle Communications
Ergodic Capacity Analysis
Fading Channels

Access to Document

10.1109/commnet.2018.8360282

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http://dx.doi.org/10.1109/commnet.2018.8360282

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Cite this

Sofotasios, P., Yoo, S. K., Bhargav, N., Muhaidat, S., Cotton, S., Matthaiou, M., ... Karagiannidis, G. (2018). Capacity analysis under generalized composite fading conditions. In 2018 International Conference on Advanced Communication Technologies and Networking (CommNet) IEEE. https://doi.org/10.1109/commnet.2018.8360282

Capacity analysis under generalized composite fading conditions. / Sofotasios, Paschalis; Yoo, Seong Ki; Bhargav, Nidhi; Muhaidat, Sami; Cotton, Simon; Matthaiou, Michail; Valkama, Mikko; Karagiannidis, George.

2018 International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

Sofotasios, P, Yoo, SK, Bhargav, N, Muhaidat, S, Cotton, S, Matthaiou, M, Valkama, M & Karagiannidis, G 2018, Capacity analysis under generalized composite fading conditions. in 2018 International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE, 2018 International Conference on Advanced Communication Technologies and Networking, Marrakech, Morocco, 2/04/18. https://doi.org/10.1109/commnet.2018.8360282

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AU - Valkama, Mikko

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N2 - Novel composite fading models were recently proposed based on inverse gamma distributed shadowing conditions. These models were extensively shown to provide remarkable modeling of the simultaneous occurrence of multipath fading and shadowing phenomena in emerging wireless scenarios such as cellular, off-body and vehicle-to-vehicle communications. Furthermore, the algebraic representation of these models is rather tractable, which renders them convenient to handle both analytically and numerically. The present contribution presents the major theoretical and practical characteristics of the η - μ / inverse gamma composite fading model, followed by a thorough ergodic capacity analysis. To this end, novel analytic expressions are derived, which are subsequently used in the evaluation of the corresponding system performance. In this context, the offered results are compared with respective results from cases assuming conventional fading conditions, which leads to the development of numerous insights on the effect of the multipath fading and shadowing severity on the achieved capacity levels. It is expected that these results will be useful in the design of timely and highly demanding wireless technologies, such as wearable, cellular and inter-vehicular communications as well in wireless power transfer based applications in the context of the Internet of Things.

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