Edge-Centric Bandit Learning for Task-Offloading Allocations in Multi-RAT Heterogeneous Networks

2021 ◽  
pp. 1-1
Author(s):  
Bochun Wu ◽  
Tianyi Chen ◽  
Kai Yang ◽  
Xin Wang
Keyword(s):  
Heterogeneous Networks ◽  
Task Offloading

scholarly journals Multi-Access Edge Computing Empowered Heterogeneous Networks: A Novel Architecture and Potential Works

Symmetry ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 842 ◽  
Author(s):  
June-Woo Ryu ◽  
Quoc-Viet Pham ◽  
Huynh N. T. Luan ◽  
Won-Joo Hwang ◽  
Jong-Deok Kim ◽  
...  
Keyword(s):  
Heterogeneous Networks ◽  
Edge Computing ◽  
Base Stations ◽  
Small Cells ◽  
Research Progress ◽  
Open Future ◽  
Aerial Vehicle ◽  
Massive Number ◽  
Multi Access ◽  
Task Offloading

One of the most promising approaches to address the mismatch between computation- intensive applications and computation-limited end devices is multi-access edge computing (MEC). To overcome the rapid increase in traffic volume and offload the traffic from macrocells, a massive number of small cells have been deployed, so-called heterogeneous networks (HetNets). Strongly motivated by the close integration of MEC and HetNets, in this paper, we propose an envisioned architecture of MEC-empowered HetNets, where both wireless and wired backhaul solutions are supported, flying base stations (BSs) can be equipped with MEC servers, and mobile users (MUs) need both communication and computation resources for their computationally heavy tasks. Subsequently, we provide the research progress summary of task offloading and resource allocation in the proposed MEC-empowered unmanned aerial vehicle (UAV)-assisted heterogeneous networks. We complete this article by spotlighting key challenges and open future directives for researches.

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