Pulse Shape Design of Biorthogonal Frequency Division Multiplexing with Massive Connection Support for IoT
碩士 === 國立清華大學 === 通訊工程研究所 === 104 === In future, Internet-of-Thing (IoT) will be the indispensable part of development of 5G wireless communication system due to rapid growth of devices with an ability to communicate autonomously. The major challenge is massive connection issue. In this thesis, we r...
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ndltd-TW-104NTHU56500112017-07-30T04:40:37Z http://ndltd.ncl.edu.tw/handle/92890458806176721165 Pulse Shape Design of Biorthogonal Frequency Division Multiplexing with Massive Connection Support for IoT 應用於物聯網之支援大量連結雙正交分頻多工之波形設計 Huang, Cheng Yu 黃承毓 碩士 國立清華大學 通訊工程研究所 104 In future, Internet-of-Thing (IoT) will be the indispensable part of development of 5G wireless communication system due to rapid growth of devices with an ability to communicate autonomously. The major challenge is massive connection issue. In this thesis, we reduce intersymbol interference (ISI) and intercarrier interference (ICI) for enhancing the number of IoT devices in high mobile environment by optimizing the performance of Biorthogonal Frequency Division Multiplexing (BFDM). BFDM is invented to reduce the interference through a flexible design of the signal pulse shaping. We apply B-splines and Gaussian pulse for pulse shape which have good properties to reduce ISI/ICI and use an algorithm named canonical Gabor tight window to calculate receive pulses. In particular, we optimize Gaussian pulse in BFDM by minimizing the tail of the ambiguity function. Simulation results show that the proposed BFDM outperforms the conventional OFDM in ISI/ICI power, SIR and the IoT devices load in time-frequency dispersive channels. BFDM not only achieves the reduction of interference, but also increases the number of devices which system could support. Wu, Jen Ming 吳仁銘 2015 學位論文 ; thesis 47 en_US |
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碩士 === 國立清華大學 === 通訊工程研究所 === 104 === In future, Internet-of-Thing (IoT) will be the indispensable part of development of 5G wireless communication system due to rapid growth of devices with an ability to communicate autonomously. The major challenge is massive connection issue. In this thesis, we reduce intersymbol interference (ISI) and intercarrier interference (ICI) for enhancing the number of IoT devices in high mobile environment by optimizing the performance of Biorthogonal Frequency Division Multiplexing (BFDM). BFDM is invented to reduce the interference through a flexible design of the signal pulse shaping. We apply B-splines and Gaussian pulse for pulse shape which have good properties to reduce ISI/ICI and use an algorithm named canonical Gabor tight window to calculate receive pulses. In particular, we optimize Gaussian pulse in BFDM by minimizing the tail of the ambiguity function. Simulation results show that the proposed BFDM outperforms the conventional OFDM in ISI/ICI power, SIR and the IoT devices load in time-frequency dispersive channels. BFDM not only achieves the reduction of interference, but also increases the number of devices which system could support.
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author2 |
Wu, Jen Ming |
author_facet |
Wu, Jen Ming Huang, Cheng Yu 黃承毓 |
author |
Huang, Cheng Yu 黃承毓 |
spellingShingle |
Huang, Cheng Yu 黃承毓 Pulse Shape Design of Biorthogonal Frequency Division Multiplexing with Massive Connection Support for IoT |
author_sort |
Huang, Cheng Yu |
title |
Pulse Shape Design of Biorthogonal Frequency Division Multiplexing with Massive Connection Support for IoT |
title_short |
Pulse Shape Design of Biorthogonal Frequency Division Multiplexing with Massive Connection Support for IoT |
title_full |
Pulse Shape Design of Biorthogonal Frequency Division Multiplexing with Massive Connection Support for IoT |
title_fullStr |
Pulse Shape Design of Biorthogonal Frequency Division Multiplexing with Massive Connection Support for IoT |
title_full_unstemmed |
Pulse Shape Design of Biorthogonal Frequency Division Multiplexing with Massive Connection Support for IoT |
title_sort |
pulse shape design of biorthogonal frequency division multiplexing with massive connection support for iot |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/92890458806176721165 |
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