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Mobile Edge Computing-Enabled Heterogeneous Networks

Title
Mobile Edge Computing-Enabled Heterogeneous Networks
Authors
Park, ChanwonLee, Jemin
DGIST Authors
Park, Chanwon; Lee, Jemin
Issue Date
2021-02
Citation
IEEE Transactions on Wireless Communications, 20(2), 1038-1051
Type
Article
Author Keywords
ServersTask analysisDownlinkUplinkWireless communicationHeterogeneous networksEdge computingMobile edge computingheterogeneous networklatencyoffloadingqueueing theorystochastic geometry
ISSN
1536-1276
Abstract
The mobile edge computing (MEC) has been introduced for providing computing capabilities at the edge of networks to improve the latency performance of wireless networks. In this paper, we provide the novel framework for MEC-enabled heterogeneous networks (HetNets), composed of the multi-tier networks with access points (APs) (i.e., MEC servers), which have different transmission power and different computing capabilities. In this framework, we also consider multiple-type mobile users with different sizes of computation tasks, and they offload the tasks to a MEC server, and receive the computation resulting data from the server. We derive the successful edge computing probability (SECP), defined as the probability that a user offloads and finishes its computation task at the MEC server within the target latency. We provide a closed-form expression of the approximated SECP for general case, and closed-form expressions of the exact SECP for special cases. This paper then provides the design insights for the optimal configuration of MEC-enabled HetNets by analyzing the effects of network parameters and bias factors, used in MEC server association, on the SECP. Specifically, it shows how the optimal bias factors in terms of SECP can be changed according to the numbers of user types and tiers of MEC servers, and how they are different to the conventional ones that did not consider the computing capabilities and task sizes.
URI
http://hdl.handle.net/20.500.11750/15312
DOI
10.1109/TWC.2020.3030178
Publisher
Institute of Electrical and Electronics Engineers
Files:
There are no files associated with this item.
Collection:
Department of Electrical Engineering and Computer ScienceISC(Information Security and Communication) Lab1. Journal Articles


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