Capacity Analysis of Multiple-Access Rician Fading Channel

碩士 === 國立交通大學 === 電信工程系所 === 97 === In this thesis the channel capacity of the noncoherent multiple-access Rician fading channel is investigated. In this channel, the transmitted signal is subject to additive Gaussian noise and Rician fading, i.e., the fading process is Gaussian in addition to a lin...

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Main Authors: Lin, Gu-Rong, 林谷嶸
Other Authors: Stefan M. Moser
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/95493875007894211721
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spelling ndltd-TW-097NCTU54351032015-10-13T15:42:20Z http://ndltd.ncl.edu.tw/handle/95493875007894211721 Capacity Analysis of Multiple-Access Rician Fading Channel 多重存取萊斯衰減通道之通道容量分析 Lin, Gu-Rong 林谷嶸 碩士 國立交通大學 電信工程系所 97 In this thesis the channel capacity of the noncoherent multiple-access Rician fading channel is investigated. In this channel, the transmitted signal is subject to additive Gaussian noise and Rician fading, i.e., the fading process is Gaussian in addition to a line-of-sight component. On the transmitter side the cooperation between users is not allowed, i.e., the users are assumed to be statistically independent. Based on the known result of the asymptotic capacity of a single-user fading channel, our work is to generalize it to the multiple-user sum-rate capacity. We study the single-antenna case only: all transmitters and the receiver use one antenna. We get a natural upper bound on the capacity if the constraint of independence between the users is relaxed, in which case the channel becomes a multiple-input single-output (MISO) channel. Also, a lower bound can be obtained if all users apart from one are switched off, which corresponds to a single-input single-output (SISO) channel. We improve these bounds and get an exact formula of the asymptotic capacity. The main concept we use in this thesis is escaping to infinity of input distributions, which means that when the available power tends to infinity, the input must use symbols that also tend to infinity. We propose that in the multiple-access fading channel, at least one user's distribution must escape to infinity. Based on this we obtain the result that the asymptotic sum-rate capacity is identical to the previously mentioned lower bound: the single-user SISO capacity. We conclude that in order to achieve the best sum-rate capacity in the multiple-access system, we have to switch off the users with bad channels and only allow those with the best channel to transmit. Stefan M. Moser 莫詩台方 2009 學位論文 ; thesis 41 en_US
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description 碩士 === 國立交通大學 === 電信工程系所 === 97 === In this thesis the channel capacity of the noncoherent multiple-access Rician fading channel is investigated. In this channel, the transmitted signal is subject to additive Gaussian noise and Rician fading, i.e., the fading process is Gaussian in addition to a line-of-sight component. On the transmitter side the cooperation between users is not allowed, i.e., the users are assumed to be statistically independent. Based on the known result of the asymptotic capacity of a single-user fading channel, our work is to generalize it to the multiple-user sum-rate capacity. We study the single-antenna case only: all transmitters and the receiver use one antenna. We get a natural upper bound on the capacity if the constraint of independence between the users is relaxed, in which case the channel becomes a multiple-input single-output (MISO) channel. Also, a lower bound can be obtained if all users apart from one are switched off, which corresponds to a single-input single-output (SISO) channel. We improve these bounds and get an exact formula of the asymptotic capacity. The main concept we use in this thesis is escaping to infinity of input distributions, which means that when the available power tends to infinity, the input must use symbols that also tend to infinity. We propose that in the multiple-access fading channel, at least one user's distribution must escape to infinity. Based on this we obtain the result that the asymptotic sum-rate capacity is identical to the previously mentioned lower bound: the single-user SISO capacity. We conclude that in order to achieve the best sum-rate capacity in the multiple-access system, we have to switch off the users with bad channels and only allow those with the best channel to transmit.
author2 Stefan M. Moser
author_facet Stefan M. Moser
Lin, Gu-Rong
林谷嶸
author Lin, Gu-Rong
林谷嶸
spellingShingle Lin, Gu-Rong
林谷嶸
Capacity Analysis of Multiple-Access Rician Fading Channel
author_sort Lin, Gu-Rong
title Capacity Analysis of Multiple-Access Rician Fading Channel
title_short Capacity Analysis of Multiple-Access Rician Fading Channel
title_full Capacity Analysis of Multiple-Access Rician Fading Channel
title_fullStr Capacity Analysis of Multiple-Access Rician Fading Channel
title_full_unstemmed Capacity Analysis of Multiple-Access Rician Fading Channel
title_sort capacity analysis of multiple-access rician fading channel
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/95493875007894211721
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