Cost-Efficient Resources Scheduling for Mobile Edge Computing in Ultra-Dense Networks
Author:
Affiliation:
1. Computer School, Beijing Information Science and Technology University, Beijing, China
2. School of Electronic Engineering, University of Exeter, Exeter, U.K.
Funder
National Natural Science Foundation of China
R&D Program of Beijing Municipal Education Commission
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4275028/9917435/09745138.pdf?arnumber=9745138
Reference38 articles.
1. Energy-Efficient Base Station Control Framework for 5G Cellular Networks Based on Markov Decision Process
2. Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN
3. Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks
4. Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network
5. Resource Allocation for NOMA-MEC Systems in Ultra-Dense Networks: A Learning Aided Mean-Field Game Approach
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