Packet Selection Based on Statistical CSI in Wireless Network Coding
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 100 === Network coding has been proposed to improve the throughput of wireless networks by mixing packets from different flows into a single packet. Among all network coding methods, the most popular one is XOR operation because it is easy to implement, but the desti...
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ndltd-TW-100NCKU56520262015-10-13T21:33:37Z http://ndltd.ncl.edu.tw/handle/74934403978057200064 Packet Selection Based on Statistical CSI in Wireless Network Coding 在無線網路編碼中根據統計之通道狀態資訊之封包選擇 Kent-TingLiu 柳庚廷 碩士 國立成功大學 電腦與通信工程研究所 100 Network coding has been proposed to improve the throughput of wireless networks by mixing packets from different flows into a single packet. Among all network coding methods, the most popular one is XOR operation because it is easy to implement, but the destinations must have perfect side information. In error-prone wireless channels, it is not possible for destinations to know all side information. Therefore, an appropriate packet selection method for network coding is very important. In this thesis, we introduce packet selection method based on link layer information for wireless network coding. The link layer information considered in this thesis includes the average channel condition between relay and destinations and the number of successful transmissions. We analyze the throughput of the proposed scheme, and also compare it with an existing method which select packets according to the instantaneous channel state information (CSI). We show that the packets selection method based on link layer information is more effective than that based on instantaneous CSI in improving the network throughput. We also discuss the impact of the number of relays and the usage of different link-layer information to the proposed packet selection for wireless network coding. Kuang-Hau Liu 劉光浩 2012 學位論文 ; thesis 49 en_US |
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碩士 === 國立成功大學 === 電腦與通信工程研究所 === 100 === Network coding has been proposed to improve the throughput of wireless networks by mixing packets from different flows into a single packet. Among all network coding methods, the most popular one is XOR operation because it is easy to implement, but the destinations must have perfect side information. In error-prone wireless channels, it is not possible for destinations to know all side information. Therefore, an appropriate packet selection method for network coding is very important. In this thesis, we introduce packet selection method based on link layer information for wireless network coding. The link layer information considered in this thesis includes the average channel condition between relay and destinations and the number of successful transmissions. We analyze the throughput of the proposed scheme, and also compare it with an existing method which select packets according to the instantaneous channel state information (CSI). We show that the packets selection method based on link layer information is more effective than that based on instantaneous CSI in improving the network throughput. We also discuss the impact of the number of relays and the usage of different link-layer information to the proposed packet selection for wireless network coding.
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author2 |
Kuang-Hau Liu |
author_facet |
Kuang-Hau Liu Kent-TingLiu 柳庚廷 |
author |
Kent-TingLiu 柳庚廷 |
spellingShingle |
Kent-TingLiu 柳庚廷 Packet Selection Based on Statistical CSI in Wireless Network Coding |
author_sort |
Kent-TingLiu |
title |
Packet Selection Based on Statistical CSI in Wireless Network Coding |
title_short |
Packet Selection Based on Statistical CSI in Wireless Network Coding |
title_full |
Packet Selection Based on Statistical CSI in Wireless Network Coding |
title_fullStr |
Packet Selection Based on Statistical CSI in Wireless Network Coding |
title_full_unstemmed |
Packet Selection Based on Statistical CSI in Wireless Network Coding |
title_sort |
packet selection based on statistical csi in wireless network coding |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/74934403978057200064 |
work_keys_str_mv |
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