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Energy-efficient Dual-codebook–based Backscatter Communications for Wireless Powered Networks
ACM Transactions on Sensor Networks ( IF 4.1 ) Pub Date : 2020-11-25 , DOI: 10.1145/3426885
Yufan Zhang 1 , Ertao Li 2 , Yi-Hua Zhu 1
Affiliation  

The common backscatter communications (ComBC), widely applied in wireless powered networks such as the RFID systems, exhibit the shortcoming that only a few bits are backscattered at a time due to energy limitation. It is significant to improve energy efficiency in backscatter communications so more data can be delivered within one backscatter. In this article, the energy-efficient dual-codebook based backscatter communications (DBBC) is proposed, which adopts two prefix codebooks shared by the sender and the receiver over a backscatter communication link. With the DBBC, the sender backscatters codewords from which the receiver decodes the original data. Using Energy Consumption Disparity (ECD) between backscattering bits 1 and 0 in the existing backscatter communications, we formulate the optimization problem minimizing energy consumption over the link for the DBBC. Mapping a prefix codebook into a binary tree and performing pruning and expanding operation (PEO) on binary trees, we obtain the solution to the optimization problem, which includes the two energy-efficient codebooks and the other two key parameters for the DBBC. The experiments on wireless identification sensing platform (WISP) show that, under the proposed DBBC, the sender can backscatter data 83% more than the ComBC with the same energy without sacrificing throughput.

中文翻译:

用于无线供电网络的节能型基于双码本的反向散射通信

广泛应用于无线供电网络(如RFID系统)的普通反向散射通信(ComBC)由于能量限制,存在一次只能反向散射几个比特的缺点。提高反向散射通信的能量效率非常重要,因此可以在一次反向散射中传输更多数据。在本文中,提出了一种节能的基于双码本的反向散射通信(DBBC),它采用发送端和接收端在反向散射通信链路上共享的两个前缀码本。使用 DBBC,发送者反向散射代码字,接收者从中解码原始数据。在现有反向散射通信中使用反向散射比特 1 和 0 之间的能量消耗差异 (ECD),我们制定了优化问题,使 DBBC 链路上的能耗最小化。将前缀码本映射成二叉树并对二叉树执行剪枝和扩展操作(PEO),我们得到优化问题的解决方案,其中包括两个节能码本和 DBBC 的另外两个关键参数。在无线识别传感平台 (WISP) 上的实验表明,在提出的 DBBC 下,发送方可以在不牺牲吞吐量的情况下,在相同能量的情况下比 ComBC 多反向散射 83% 的数据。
更新日期:2020-11-25
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