Optimal Task Allocation in Near-Far Computing Enhanced C-RAN for Wireless Big Data Processing

Zhang, Lianming, Wang, Kezhi, Xuan, Du and Yang, Kun (2018) Optimal Task Allocation in Near-Far Computing Enhanced C-RAN for Wireless Big Data Processing. IEEE Wireless Communications, 25 (1). pp. 50-55. ISSN 1536-1284

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Official URL: http://ieeexplore.ieee.org/document/8304391/

Abstract

With the increasing popularity of user equipments, the corresponding UE generated big data (UGBD) is also growing substantially, which makes both UEs and current network structures struggle to process those data and applications. This article proposes a near-far computing enhanced C-RAN (NFC-RAN) architecture that can better process big data and its corresponding applications. NFC-RAN is composed of near edge computing (NEC) and far edge computing (FEC) units. NEC is located in the remote radio head,, which can quickly respond to delay-sensitive tasks from the UEs, while FEC sits next to a baseband unit pool, which can do other computation-intensive tasks. Task allocation between NEC and FEC is introduced in this article. Also, WiFi indoor positioning is illustrated as a case study of the proposed architecture. Moreover, simulation and experiment results are provided to show the effectiveness of the proposed task allocation and architecture.

Item Type: Article
Uncontrolled Keywords: NFC-RAN, Task Allocation, Near Far Computing, Wireless Big Data
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Kezhi Wang
Date Deposited: 09 Mar 2018 12:24
Last Modified: 09 Mar 2018 13:15
URI: http://nrl.northumbria.ac.uk/id/eprint/31754

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