Journal
IET COMMUNICATIONS
Volume 13, Issue 17, Pages 2668-2677Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-com.2019.0446
Keywords
mobile computing; wireless LAN; resource allocation; optimisation; computational complexity; distributed processing; optimal access point selection; simple resource allocation scheme; offloading strategy optimisation scheme; mobile edge computing; multiple access points; innovative computing paradigm; mobile devices; computation-intensive tasks; MEC servers; wireless local area networks; resource allocation optimisation scheme; multiple wireless access points network; optimal computation offloading strategy; transmission power allocation; computation resource scheduling; bandwidth assignment; NP-hard problem; Lagrange multiplier
Categories
Funding
- Fundamental Research Funds for the Central Universities [2018YJS008]
- National Natural Science Foundation of China [61661021]
- National Science and Technology Major Project of the Ministry of Science and Technology of China [2016ZX03001014-006]
- Beijing Natural Science Foundation [L182018]
- Open Research Fund of National Mobile Communications Research Laboratory, Southeast University [2017D14]
- Science and Technology Project of Jiangxi Provincial Transport Bureau [2016D0037]
- Science and Technology Program of Jiangxi Province [20172BCB22016, 20171BBE50057]
- Shenzhen Science and Technology Program [JCYJ20170817110410346]
Ask authors/readers for more resources
Mobile edge computing (MEC) is an innovative computing paradigm to enhance the computing capacity of mobile devices (MDs) by offloading computation-intensive tasks to MEC servers. With the widespread deployment of wireless local area networks, each MD can offload computation task to server via multiple wireless access points (WAPs). However, computation offloading can bring a higher system cost if all users select the same access points to offload their tasks. This study proposes a computation offloading strategy and resource allocation optimisation scheme in a multiple wireless access points network with MEC, which aims to minimise the system cost by providing the optimal computation offloading strategy, transmission power allocation, bandwidth assignment, and computation resource scheduling. The proposed scheme decouples the optimisation problem into subproblems of offloading strategy and resource allocation since the problem is NP-hard. The offloading strategy involves the optimal access point selection, which is analysed by the potential game. The resource allocation is obtained using Lagrange multiplier. The authors' analysis and simulation results verify the convergence performance of the proposed scheme, and the proposed scheme outperforms the simple resource allocation scheme and the offloading strategy optimisation scheme in terms of the system cost.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available