Reducing fading effects in mobile communications
This dissertation is aimed at research on mitigation techniques to reduce the negative effects in a wireless communication system. We analyze and calculate the numerical relationship between bit error rate and signal-to-noise ratio. We also simulate and observe various multipath propagations over...
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sg-ntu-dr.10356-786282023-07-04T15:57:10Z Reducing fading effects in mobile communications Gao, Binan Li Kwok Hung School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This dissertation is aimed at research on mitigation techniques to reduce the negative effects in a wireless communication system. We analyze and calculate the numerical relationship between bit error rate and signal-to-noise ratio. We also simulate and observe various multipath propagations over a wireless fading channel. Horizontal and vertical comparison of the improvements brought about by different diversity combining techniques is listed. Firstly, conventional diversity combining techniques including selection combining, maximum-ratio combining, and equal-gain combining, are applied. Meanwhile, we state the optimum combining technique for different modulation and demodulation schemes, especially refers to the coherent and non-coherent modulation. Then the generalization selection combining is proposed, by plotting the second-order selection combining, both in theoretical and simulated results, to achieve the sub-optimum performance with less system complexity. Based on the theoretical analysis which was published by the recent researchers, we do a complete comparison in this dissertation depending on the simulations, and as a result, this dissertation investigates the feasibility of the second-order selection combining as an alternative of the optimum diversity combining in simulated results. Master of Science (Communications Engineering) 2019-06-24T13:28:43Z 2019-06-24T13:28:43Z 2019 Thesis http://hdl.handle.net/10356/78628 en 59 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Gao, Binan Reducing fading effects in mobile communications |
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This dissertation is aimed at research on mitigation techniques to reduce the
negative effects in a wireless communication system. We analyze and calculate the
numerical relationship between bit error rate and signal-to-noise ratio. We also
simulate and observe various multipath propagations over a wireless fading channel.
Horizontal and vertical comparison of the improvements brought about by different
diversity combining techniques is listed.
Firstly, conventional diversity combining techniques including selection
combining, maximum-ratio combining, and equal-gain combining, are applied.
Meanwhile, we state the optimum combining technique for different modulation and
demodulation schemes, especially refers to the coherent and non-coherent
modulation. Then the generalization selection combining is proposed, by plotting the
second-order selection combining, both in theoretical and simulated results, to
achieve the sub-optimum performance with less system complexity. Based on the
theoretical analysis which was published by the recent researchers, we do a complete
comparison in this dissertation depending on the simulations, and as a result, this
dissertation investigates the feasibility of the second-order selection combining as an
alternative of the optimum diversity combining in simulated results. |
author2 |
Li Kwok Hung |
author_facet |
Li Kwok Hung Gao, Binan |
format |
Theses and Dissertations |
author |
Gao, Binan |
author_sort |
Gao, Binan |
title |
Reducing fading effects in mobile communications |
title_short |
Reducing fading effects in mobile communications |
title_full |
Reducing fading effects in mobile communications |
title_fullStr |
Reducing fading effects in mobile communications |
title_full_unstemmed |
Reducing fading effects in mobile communications |
title_sort |
reducing fading effects in mobile communications |
publishDate |
2019 |
url |
http://hdl.handle.net/10356/78628 |
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1772826566552715264 |