Location-based Interference Mitigation and Spatial Grouping Techniques for Hetnet

碩士 === 國立中央大學 === 通訊工程學系 === 101 === In this thesis, we proposed an angle of arrival (AOA) based beamforming structure for orthogonal frequency division multiple access (OFDMA)-based Hetnet systems. The proposed scheme has interference resistant capability without the needs in the estimation of the...

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Main Authors: Li-Chiao Hung, 洪莉喬
Other Authors: Yung-Fang Chen
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/62172512377692324861
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spelling ndltd-TW-101NCU056500732015-10-13T22:34:49Z http://ndltd.ncl.edu.tw/handle/62172512377692324861 Location-based Interference Mitigation and Spatial Grouping Techniques for Hetnet 使用位置資訊之干擾消除及空間群集技術 探討 Li-Chiao Hung 洪莉喬 碩士 國立中央大學 通訊工程學系 101 In this thesis, we proposed an angle of arrival (AOA) based beamforming structure for orthogonal frequency division multiple access (OFDMA)-based Hetnet systems. The proposed scheme has interference resistant capability without the needs in the estimation of the channel parameters and the calculation of beamforming weight vector for each subcarrier in OFDM-based systems. It can also reduce extra burden and delay generated from communication link between the femtocell and the central entity for using beamforming technology. Then, one can also use the obtained AOAs at receivers to group users to reduce the co-channel interference (CCI) among users. The grouping concept appears in [1] which requires a multi-user detection device at the receiver and ignores the influence of multipaths. However, the multi-user detection device may not exist in the receiver and some multipath might cause serious interference effect. In this thesis, another grouping idea is proposed to aim at minimizing the CCI by considering the multipath impact and without multiuser detection device. The simulation results are presented to demonstrate the efficacy of the proposed algorithms. Yung-Fang Chen 陳永芳 2013 學位論文 ; thesis 54 en_US
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description 碩士 === 國立中央大學 === 通訊工程學系 === 101 === In this thesis, we proposed an angle of arrival (AOA) based beamforming structure for orthogonal frequency division multiple access (OFDMA)-based Hetnet systems. The proposed scheme has interference resistant capability without the needs in the estimation of the channel parameters and the calculation of beamforming weight vector for each subcarrier in OFDM-based systems. It can also reduce extra burden and delay generated from communication link between the femtocell and the central entity for using beamforming technology. Then, one can also use the obtained AOAs at receivers to group users to reduce the co-channel interference (CCI) among users. The grouping concept appears in [1] which requires a multi-user detection device at the receiver and ignores the influence of multipaths. However, the multi-user detection device may not exist in the receiver and some multipath might cause serious interference effect. In this thesis, another grouping idea is proposed to aim at minimizing the CCI by considering the multipath impact and without multiuser detection device. The simulation results are presented to demonstrate the efficacy of the proposed algorithms.
author2 Yung-Fang Chen
author_facet Yung-Fang Chen
Li-Chiao Hung
洪莉喬
author Li-Chiao Hung
洪莉喬
spellingShingle Li-Chiao Hung
洪莉喬
Location-based Interference Mitigation and Spatial Grouping Techniques for Hetnet
author_sort Li-Chiao Hung
title Location-based Interference Mitigation and Spatial Grouping Techniques for Hetnet
title_short Location-based Interference Mitigation and Spatial Grouping Techniques for Hetnet
title_full Location-based Interference Mitigation and Spatial Grouping Techniques for Hetnet
title_fullStr Location-based Interference Mitigation and Spatial Grouping Techniques for Hetnet
title_full_unstemmed Location-based Interference Mitigation and Spatial Grouping Techniques for Hetnet
title_sort location-based interference mitigation and spatial grouping techniques for hetnet
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/62172512377692324861
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