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An efficient method for mobile big data transfer over HetNet in emerging 5G systems

机译:新兴5G系统中通过HetNet进行移动大数据传输的有效方法

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Recently, mobile cloud computing (MCC) has arisen as a promising technology to augment the user equipment (UE)' capabilities in emerging 5G systems by wirelessly transferring the computation-burden from it to the resource-rich cloud computing centers. In this setting, the massive data transfer over a standalone wireless network becomes a challenging task due to the expected increased latency over the wireless channels associated with the remote cloud data centers. This paper proposes an efficient data transfer method for mobile big data along with a data correction technique to cope with the problem of failure to retrieve the data chunks in the cloud. The proposed algorithm exploits the overlapping feature of heterogeneous wireless networks (HetNets) to expedite the mobile big data transfer between the UE and the cloud by splitting the data into a number of smaller chunks which are transmitted simultaneously over the wireless links. Simulation results are provided, showing that our proposed method outperforms the baseline data storage method.
机译:最近,移动云计算(MCC)作为一种有前途的技术出现了,它可以通过将计算负担从无线计算转移到资源丰富的云计算中心来增强新兴5G系统中用户设备(UE)的功能。在这种情况下,由于与远程云数据中心关联的无线通道上预期的延迟增加,因此通过独立的无线网络进行海量数据传输成为一项具有挑战性的任务。本文针对移动大数据提出了一种有效的数据传输方法,并提出了一种数据校正技术,以解决无法在云中检索数据块的问题。所提出的算法利用异构无线网络(HetNets)的重叠功能,通过将数据拆分为多个较小的块(通过无线链路同时传输)来加快UE与云之间的移动大数据传输。仿真结果表明,本文提出的方法优于基线数据存储方法。

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