On Efficient Offloading Control in Cloud Radio Access Network with Mobile Edge Computing

Li, Tong, Magurawalage, Chathura Sarathchandra, Wang, Kezhi, Xu, Ke, Yang, Kun and Wang, Haiyang (2017) On Efficient Offloading Control in Cloud Radio Access Network with Mobile Edge Computing. In: 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). IEEE, pp. 2258-2263. ISBN 978-1-5386-1793-9

Full text not available from this repository.

Abstract

Cloud radio access network (C-RAN) and mobile edge computing (MEC) have emerged as promising candidates for the next generation access network techniques. Unfortunately, although MEC tries to utilize the highly distributed computing resources in close proximity to user equipments equipments (UE), C-RAN suggests to centralize the baseband processing units (BBU) deployed in radio access networks. To better understand and address such a conflict, this paper closely investigates the MEC task offloading control in C-RAN environments. In particular, we focus on perspective of matching problem. Our model smartly captures the unique features in both MEC and C-RAN with respect to communication and computation efficiency constraints. We divide the cross-layer optimization into the following three stages: (1) matching between remote radio heads (RRH) and UEs, (2) matching between BBUs and UEs, and (3) matching between mobile clones (MC) and UEs. By applying the Gale-Shapley Matching Theory in the duplex matching framework, we propose a multi-stage heuristic to minimize the refusal rate for user's task offloading requests. Trace-based simulation confirms that our solution can successfully achieve near-optimal performance in such a hybrid deployment.

Item Type:	Book Section
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	24 Sep 2018 12:17
Last Modified:	11 Oct 2019 19:15
URI:	http://nrl.northumbria.ac.uk/id/eprint/35877

Downloads