scholarly journals A Mobile Edge Computing-assisted video delivery architecture for wireless heterogeneous networks

2017 ◽  
Author(s):  
Yue Li ◽  
Pantelis A. Frangoudis ◽  
Yassine Hadjadj-Aoul ◽  
Philippe Bertin
Keyword(s):  
Heterogeneous Networks ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Video Delivery ◽  
Wireless Heterogeneous Networks

Communication-efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks

2020 ◽  
pp. 1-1
Author(s):  
Ping Zhou ◽  
Ke Shen ◽  
Neeraj Kumar ◽  
Yin Zhang ◽  
Mohammad Mehedi Hassan ◽  
...  
Keyword(s):  
Heterogeneous Networks ◽  
Edge Computing ◽  
Mobile Edge Computing

scholarly journals Energy-Efficient Mobile Edge Computing: Three-Tier Computing under Heterogeneous Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Yongsheng Pei ◽  
Zhangyou Peng ◽  
Zhenling Wang ◽  
Haojia Wang
Keyword(s):  
Heterogeneous Networks ◽  
Energy Efficient ◽  
Base Station ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Energy Efficiency Improvement ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation ◽  
Smart Mobile ◽  
Computing Structure

Mobile edge computing (MEC) is a promising technique to meet the demands of computing-intensive and delay-sensitive applications by providing computation and storage capabilities in close proximity to mobile users. In this paper, we study energy-efficient resource allocation (EERA) schemes for hierarchical MEC architecture in heterogeneous networks. In this architecture, both small base station (SBS) and macro base station (MBS) are equipped with MEC servers and help smart mobile devices (SMDs) to perform tasks. Each task can be partitioned into three parts. The SMD, SBS, and MBS each perform a part of the task and form a three-tier computing structure. Based on this computing structure, an optimization problem is formulated to minimize the energy consumption of all SMDs subject to the latency constraints, where radio and computation resources are considered jointly. Then, an EERA mechanism based on the variable substitution technique is designed to calculate the optimal workload distribution, edge computation capability allocation, and SMDs’ transmit power. Finally, numerical simulation results demonstrate the energy efficiency improvement of the proposed EERA mechanism over the baseline schemes.

scholarly journals Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 5896-5907 ◽  
Author(s):  
Ke Zhang ◽  
Yuming Mao ◽  
Supeng Leng ◽  
Quanxin Zhao ◽  
Longjiang Li ◽  
...  
Keyword(s):  
Heterogeneous Networks ◽  
Energy Efficient ◽  
Edge Computing ◽  
Mobile Edge Computing
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