| 基于LTE-A的大规模物流系统中射频识别标签处理算法的研究(英文) |
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| 引用本文： | 王朝炜,王卫东,张英海,乔举义,刘甲. 基于LTE-A的大规模物流系统中射频识别标签处理算法的研究(英文)[J]. 中国通信, 2011, 8(8): 98-105 |
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| 作者姓名： | 王朝炜 王卫东 张英海 乔举义 刘甲 |
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| 基金项目： | supported by BUPT Innovative Funds for Young Scholars under Grant No. 2010-2011; National Natural Science Foundation of China under Grant No.60972080; National S&T Major Project under Grant No.2010ZX03002-008-01 |
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| 摘 要： | The Long Term Evolution Advanced (LTE-A) and Internet of Things (IoT) are two of the most popular topics that receive vast attentions in the filed of information technologies. Radio Frequency Identification (RFID) greatly pushes IoT forward to practical utilization. In RFID system, one of the key issues is the collision among tags when reader tries to identify several of them simultaneously. In this paper, the authors proposed a RFID tag management scheme for cargo identification and tracking based on the L...
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| 收稿时间： | 2012-01-09; |
RFID Tag Management Scheme for Large-Scale Logistics System Based on LTE-A Structure |
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| Wang Chaowei,Wang Weidong,Zhang Yinghai,Qiao Juyi,Liu Jia. RFID Tag Management Scheme for Large-Scale Logistics System Based on LTE-A Structure[J]. China Communications, 2011, 8(8): 98-105 |
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| Authors: | Wang Chaowei Wang Weidong Zhang Yinghai Qiao Juyi Liu Jia |
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| Affiliation: | I&ET Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Ministry of Education, Beijing 100876, P.R.China |
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| Abstract: | The Long Term Evolution Advanced (LTE-A) and Internet of Things (IoT) are two of the most popular topics that receive vast attentions in the filed of information technologies . Radio Frequency Identification (RFID) greatly pushes IoT forward to practical utilization. In RFID system, one of the key issues is the collision among tags when reader tries to identify several of them simultaneously. In this paper, the authors proposed a RFID tag management scheme for cargo identification and tracking based on the LTE-A structure. Compared to the conventional measures, this scheme has taken advantages of the IoT and LTE-A's convergence, and also efficiently suppresses the tags identifying collision at the reader. |
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| Keywords: | LTE-A IoT RFID anti-collision Aloha |
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