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
|
Text (Full text)
Zhang et al - Optimal Task Allocation in Near-Far Computing Enhanced C-RAN for Wireless Big Data Processing.pdf - Accepted Version Download (916kB) | Preview |
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: | 01 Aug 2021 08:35 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/31754 |
Downloads
Downloads per month over past year