An asymptotic framework for Fox’s H-fading channel with application to diversity-combining receivers
An asymptotic framework for Fox’s H-fading channel with application to diversity-combining receivers
Unified statistics are valuable in the performance analysis of communication systems. In this context, Fox’s Hfunction has been shown to be eminently suitable for diverse scenarios. Another pivotal requirement is to have a low computational complexity, which is often hard to achieve for generalized models. Given this motivation, in this article we have presented high-power, low-complexity solutions for the outage probability (OP) and the average symbol error probability (SEP). Additionally, diversity techniques are harnessed for mitigating the effect of fading, which are then analysed based on the results derived. The entire methodology is governed by the origin probability density function rather than approximating the performance metrics under high-power. All the presented mathematical expressions are compared and validated through computer simulations (Monte-Carlo) to verify the accuracy of the proposed framework.
Asymptotic analysis, Fox's H-fading, diversity reception, error probability, outage probability
404 - 416
Chauhan, Puspraj Singh
e880996e-63b8-445f-a1c6-b67f0a5399ae
Kumar, Sandeep
8ca9f9d9-c51e-44f7-862e-ec761969d89a
Jain, Ankit
0d4f1052-15f8-4b2c-9453-3c0c0be40dc6
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
24 April 2023
Chauhan, Puspraj Singh
e880996e-63b8-445f-a1c6-b67f0a5399ae
Kumar, Sandeep
8ca9f9d9-c51e-44f7-862e-ec761969d89a
Jain, Ankit
0d4f1052-15f8-4b2c-9453-3c0c0be40dc6
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Chauhan, Puspraj Singh, Kumar, Sandeep, Jain, Ankit and Hanzo, Lajos
(2023)
An asymptotic framework for Fox’s H-fading channel with application to diversity-combining receivers.
IEEE Open Journal of Vehicular Technology, 4, .
(doi:10.1109/OJVT.2023.3264879).
Abstract
Unified statistics are valuable in the performance analysis of communication systems. In this context, Fox’s Hfunction has been shown to be eminently suitable for diverse scenarios. Another pivotal requirement is to have a low computational complexity, which is often hard to achieve for generalized models. Given this motivation, in this article we have presented high-power, low-complexity solutions for the outage probability (OP) and the average symbol error probability (SEP). Additionally, diversity techniques are harnessed for mitigating the effect of fading, which are then analysed based on the results derived. The entire methodology is governed by the origin probability density function rather than approximating the performance metrics under high-power. All the presented mathematical expressions are compared and validated through computer simulations (Monte-Carlo) to verify the accuracy of the proposed framework.
Text
access_new
- Accepted Manuscript
Text
An_Asymptotic_Framework_for_Foxs_H-Fading_Channel_With_Application_to_Diversity-Combining_Receivers
- Version of Record
More information
Accepted/In Press date: 3 April 2023
e-pub ahead of print date: 5 April 2023
Published date: 24 April 2023
Additional Information:
Funding Information:
The work of Lasoj Hanzo was supported in part by Engineering and Physical Sciences Research Council Projects under Grants EP/W016605/1 and EP/X01228X/1 and in part by European Research Council's Advanced Fellow Grant QuantCom under Grant 789028.
Publisher Copyright:
© 2020 IEEE.
Keywords:
Asymptotic analysis, Fox's H-fading, diversity reception, error probability, outage probability
Identifiers
Local EPrints ID: 476714
URI: http://eprints.soton.ac.uk/id/eprint/476714
ISSN: 2644-1330
PURE UUID: 3510c070-4e32-4f14-ae70-ac5fb0d05013
Catalogue record
Date deposited: 12 May 2023 16:35
Last modified: 18 Mar 2024 02:36
Export record
Altmetrics
Contributors
Author:
Puspraj Singh Chauhan
Author:
Sandeep Kumar
Author:
Ankit Jain
Author:
Lajos Hanzo
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics