
FOLLOWUS
College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
Xiu-xiu WEN, E-mail: wenxiuxiu@hrbeu.edu.cn
收稿:2016-06-21,
修回:2017-10-31,
纸质出版:2017-10
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温秀秀, 王慧强, 林俊宇, 等. 基于分代网络编码的无线协作下载系统性能分析和优化方法[J]. 信息与电子工程前沿(英文), 2017,18(10):1601-1613.
Xiu-xiu WEN, Hui-qiang WANG, Jun-yu LIN, et al. Performance analysis and optimization for chunked network coding based wireless cooperative downloading systems[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(10): 1601-1613.
温秀秀, 王慧强, 林俊宇, 等. 基于分代网络编码的无线协作下载系统性能分析和优化方法[J]. 信息与电子工程前沿(英文), 2017,18(10):1601-1613. DOI: 10.1631/FITEE.1601361.
Xiu-xiu WEN, Hui-qiang WANG, Jun-yu LIN, et al. Performance analysis and optimization for chunked network coding based wireless cooperative downloading systems[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(10): 1601-1613. DOI: 10.1631/FITEE.1601361.
无线协作下载系统中广泛采用密集网络编码。无线设备具有计算资源有限的特点,研究表明密集网络编码的解码复杂度过高,无法用于无线协作下载系统。因此,有必要结合分代网络编码。然而,分代网络编码会引起额外的系统通信量,且通信增加量与分代大小相关。因此,合理设置分代大小,从而提升分代网络编码的整体性能,对无线协作下载的实际应用具有重要意义。现有分代网络编码方面的研究大多针对集中式广播系统,不能适应无线协作下载系统的无中心特性。据此,研究基于分代网络编码的无线协作下载系统性能分析和优化问题。首先,针对无线协作下载系统的无中心特性,提出基于马尔可夫过程的系统分析模型;然后,在系统分析模型基础上,对协作下载系统的编码块收集完成时间进行优化;最后,使用排队论给分代网络编码解码过程建模,进一步结合系统分析模型,提出最小化协作下载解码完成时间的方法,并推导出最优分代大小设置方法。数值模拟结果表明,经过优化,无线协作下载系统的编码块收集完成时间和文件解码完成时间大大缩短。
Dense network coding (NC) is widely used in wireless cooperative downloading systems. Wireless devices have limited computing resources. Researchers have recently found that dense NC is not suitable because of its high coding complexity
and it is necessary to use chunked NC in wireless environments. However
chunked NC can cause more communications
and the amount of communications is affected by the chunk size. Therefore
setting a suitable chunk size to improve the overall performance of chunked NC is a prerequisite for applying it in wireless cooperative downloading systems. Most of the existing studies on chunked NC focus on centralized wireless broadcasting systems
which are different from wireless cooperative downloading systems with distributed features. Accordingly
we study the performance of chunked NC based wireless cooperative downloading systems. First
an analysis model is established using a Markov process taking the distributed features into consideration
and then the block collection completion time of encoded blocks for cooperative downloading is optimized based on the analysis model. Furthermore
queuing theory is used to model the decoding process of the chunked NC. Combining queuing theory with the analysis model
the decoding completion time for cooperative downloading is optimized
and the optimal chunk size is derived. Numerical simulation shows that the block collection completion time and the decode completion time can be largely reduced after optimization.
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