Error probabilities over generalized-K fading channels

In assessing the performance of wireless communication systems, various models are used to analyse the extent of fading and shadowing of signals during transmission from its source to the receiver. Observations are done on the parameters affecting the extent of fading and shadowing such as the amoun...

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Main Author: Nurul Farhana Abdul Razak
Other Authors: Li Kwok Hung
Format: Final Year Project
Language:English
Published: 2019
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Online Access:http://hdl.handle.net/10356/78097
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-780972023-07-07T17:00:43Z Error probabilities over generalized-K fading channels Nurul Farhana Abdul Razak Li Kwok Hung Teh Kah Chan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In assessing the performance of wireless communication systems, various models are used to analyse the extent of fading and shadowing of signals during transmission from its source to the receiver. Observations are done on the parameters affecting the extent of fading and shadowing such as the amount of fading, signal-to-noise ratio, and bit error rate. While many models exist, each of the models come with their respective limitations. General limitations found on older models are the inability to provide concurrent observation of both fading and shadowing, high complexity of the mathematical expressions, and complex concepts which they adopt. This report looks at reasons why a particular model known as the generalized-K distribution is favoured among the models available. It then aims to explore the reliability of the generalized-K distribution by employing the model in assessing the performance of a wireless communication system. In expanding the extent of the study, this report tests the reliability of the generalized-K distribution on less commonly used modulations schemes such as BFSK and DPSK. In testing the system performance in generalized-K, we can conclude that generalized-K has allow us to use a simpler and easier form rather than the complicated existing mathematical form. Not only it can approximate other existing composite model well, but it also has reduced the complexity of existing composite model. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-12T02:41:04Z 2019-06-12T02:41:04Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78097 en Nanyang Technological University 51 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Nurul Farhana Abdul Razak
Error probabilities over generalized-K fading channels
description In assessing the performance of wireless communication systems, various models are used to analyse the extent of fading and shadowing of signals during transmission from its source to the receiver. Observations are done on the parameters affecting the extent of fading and shadowing such as the amount of fading, signal-to-noise ratio, and bit error rate. While many models exist, each of the models come with their respective limitations. General limitations found on older models are the inability to provide concurrent observation of both fading and shadowing, high complexity of the mathematical expressions, and complex concepts which they adopt. This report looks at reasons why a particular model known as the generalized-K distribution is favoured among the models available. It then aims to explore the reliability of the generalized-K distribution by employing the model in assessing the performance of a wireless communication system. In expanding the extent of the study, this report tests the reliability of the generalized-K distribution on less commonly used modulations schemes such as BFSK and DPSK. In testing the system performance in generalized-K, we can conclude that generalized-K has allow us to use a simpler and easier form rather than the complicated existing mathematical form. Not only it can approximate other existing composite model well, but it also has reduced the complexity of existing composite model.
author2 Li Kwok Hung
author_facet Li Kwok Hung
Nurul Farhana Abdul Razak
format Final Year Project
author Nurul Farhana Abdul Razak
author_sort Nurul Farhana Abdul Razak
title Error probabilities over generalized-K fading channels
title_short Error probabilities over generalized-K fading channels
title_full Error probabilities over generalized-K fading channels
title_fullStr Error probabilities over generalized-K fading channels
title_full_unstemmed Error probabilities over generalized-K fading channels
title_sort error probabilities over generalized-k fading channels
publishDate 2019
url http://hdl.handle.net/10356/78097
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