Title
Edge-Centric Bandit Learning for Task-Offloading Allocations in Multi-RAT Heterogeneous Networks
Abstract
The exponential growth of data traffic from mobile devices leads to a need of heterogeneous networks (HetNets) which integrate multiple radio access technologies (multi-RATs) to allocate task-offloading with quick coordination. In this paper, we present a novel mobile edge computing (MEC) architecture for multi-RAT HetNets, and propose an MEC-centric offloading decision mechanism. By formulating t...
Year
DOI
Venue
2021
10.1109/TVT.2021.3062634
IEEE Transactions on Vehicular Technology
Keywords
DocType
Volume
Task analysis,5G mobile communication,Wireless fidelity,Heuristic algorithms,Delays,Radio access technologies,Computer architecture
Journal
70
Issue
ISSN
Citations 
4
0018-9545
1
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
Bochun Wu111.36
Tianyi Chen2437.52
Kai Yang310.35
Xin Wang41169111.70