Network coding for hybrid satellite-terrestrial networks over non-identical fading channels
Satellite communication technology can well address for global communication system concern along imperative features. Network coding techniques are implicit for future wireless communication network demands in terms of throughput, security and robustness. Physical layer network coding (PNC) and Ana...
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iium-336202013-12-31T06:59:02Z http://irep.iium.edu.my/33620/ Network coding for hybrid satellite-terrestrial networks over non-identical fading channels Jadoon, Muhammad Awais Ali Khan, Zainab Khan, Imran Shah, Ahmad Khalifa, Othman Omran T Technology (General) Satellite communication technology can well address for global communication system concern along imperative features. Network coding techniques are implicit for future wireless communication network demands in terms of throughput, security and robustness. Physical layer network coding (PNC) and Analog network Coding (ANC), are considered as two of the most studied variants of the network coding. Analysis revealed that similar performance augmentation can be made in satellite terrestrial networks with highly unpredictable behavior. In this paper feasibility study focuses on a comparative analysis amongst PNC and ANC in terrestrial land mobile satellite (LMS) networks in standings of their respective SER and outage probabilities. 2013-08 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/33620/1/06634006.pdf Jadoon, Muhammad Awais and Ali Khan, Zainab and Khan, Imran and Shah, Ahmad and Khalifa, Othman Omran (2013) Network coding for hybrid satellite-terrestrial networks over non-identical fading channels. In: 2013 International Conference on Computing, Electrical and Electronics Engineering (ICCEEE 2013), 26-28 Aug 2013 , Khartoum, Sudan . http://dx.doi.org/10.1109/ICCEEE.2013.6634006 doi:10.1109/ICCEEE.2013.6634006 |
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International Islamic University Malaysia |
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Online Access |
language |
English |
topic |
T Technology (General) |
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T Technology (General) Jadoon, Muhammad Awais Ali Khan, Zainab Khan, Imran Shah, Ahmad Khalifa, Othman Omran Network coding for hybrid satellite-terrestrial networks over non-identical fading channels |
description |
Satellite communication technology can well address for global communication system concern along imperative features. Network coding techniques are implicit for future wireless communication network demands in terms of throughput, security and robustness. Physical layer network coding (PNC) and Analog network Coding (ANC), are considered as two of the most studied variants of the network coding. Analysis revealed that similar performance augmentation can be made in satellite terrestrial networks with highly unpredictable behavior. In this paper feasibility study focuses on a comparative analysis amongst PNC and ANC in terrestrial land mobile satellite (LMS) networks in standings of their respective SER and outage probabilities. |
format |
Conference or Workshop Item |
author |
Jadoon, Muhammad Awais Ali Khan, Zainab Khan, Imran Shah, Ahmad Khalifa, Othman Omran |
author_facet |
Jadoon, Muhammad Awais Ali Khan, Zainab Khan, Imran Shah, Ahmad Khalifa, Othman Omran |
author_sort |
Jadoon, Muhammad Awais |
title |
Network coding for hybrid satellite-terrestrial networks over non-identical fading channels |
title_short |
Network coding for hybrid satellite-terrestrial networks over non-identical fading channels |
title_full |
Network coding for hybrid satellite-terrestrial networks over non-identical fading channels |
title_fullStr |
Network coding for hybrid satellite-terrestrial networks over non-identical fading channels |
title_full_unstemmed |
Network coding for hybrid satellite-terrestrial networks over non-identical fading channels |
title_sort |
network coding for hybrid satellite-terrestrial networks over non-identical fading channels |
publishDate |
2013 |
url |
http://irep.iium.edu.my/33620/ http://irep.iium.edu.my/33620/ http://irep.iium.edu.my/33620/ http://irep.iium.edu.my/33620/1/06634006.pdf |
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2023-09-18T20:48:35Z |
last_indexed |
2023-09-18T20:48:35Z |
_version_ |
1777409841809063936 |