Multi-flow management for mobile data offloading
Multi-flow management for mobile data offloading
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DOI：
10.1016/j.icte.2016.08.011
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发表时间：
2017-06-01
期刊：
影响因子：
5.4
通讯作者：
Chong, Song
中科院分区：
文献类型：
--
作者：
Kim, Yeongjin;Lee, Joohyun;Chong, Song
由于智能设备和流量密集型应用的激增，蜂窝网络正面临着移动的数据流量的爆炸性增长。作为一种具有成本效益的解决方案，延迟Wi-Fi卸载被引入，通过交换额外的延迟将延迟容忍流量从蜂窝网络转移到Wi-Fi网络。本文研究了多流速率控制问题，其中每个流具有不同的流量负载和截止时间。为了最大限度地提高用户满意度定义为卸载效率减去负效用所造成的最后期限违规，我们提出了一种基于动态规划的速率控制算法。此外，为了减少计算量和内存，我们提出了一个简单的基于阈值的速率控制算法。(C)2016年韩国通信信息科学研究所。Elsevier B的出版服务。V.这是CC BY-NC-ND许可下的开放获取文章。
Cellular networks are facing explosive growth of mobile data traffic due to the proliferation of smart devices and traffic-intensive applications. As a cost-effective solution, delayed Wi-Fi offloading was introduced to shift the delay-tolerant traffic from cellular to Wi-Fi networks by trading additional delays. Our paper studies a multi-flow rate control problem where each flow has different traffic load and a deadline. To maximize user satisfaction defined as offloading efficiency minus disutility caused by deadline violation, we propose a dynamic programming-based rate control algorithm. Moreover, to reduce the computation and memory, we propose a simple threshold-based rate control algorithm. (C) 2016 The Korean Institute of Communications Information Sciences. Publishing Services by Elsevier B. V. This is an open access article under the CC BY-NC-ND license.