Paper Info
Title
Reliable and Efficient Multimedia Service Optimization for Edge Computing-Based 5G Networks: Game Theoretic Approaches
Abstract
The edge computing-based 5G networks have the advantages in efficiently offloading the large-scale Internet traffic, which is considered to be a promising architecture to alleviate the conflict between transmission performance and quality of experience (QoE). However, due to the unreliability of service providers and the mutual interference between wireless channels in 5G networks, it is still difficult for existing solutions to provide satisfactory multimedia services for mobile users. In response to these crucial challenges, this paper proposes a reliable and efficient multimedia service optimization framework named “REMSO” hereby, including a two-stage joint optimization procedure. Specifically, a reliable video service mechanism is first constructed to help the mobile users distinguish the credible and economic service BSs. Afterwards, an efficient wireless resource allocation strategy is established to achieve low latency and energy efficient video service optimization. In particular, the Stackelberg and potential game models are leveraged to achieve these optimization objectives. Finally, extensive simulations corroborate that our REMSO framework can deliver prominent performance advantages in terms of the reliability and efficiency when comparing with the state-of-the-art solutions.
Year
DOI
Venue
2020
10.1109/TNSM.2020.2993886
IEEE Transactions on Network and Service Management
Keywords
DocType
Volume
Multimedia services,reliability,efficiency,5G networks,game theoretic
Journal
17
Issue
ISSN
Citations 
3
1932-4537
3
PageRank 
References 
Authors
0.36
0
8
Name
Order
Citations
PageRank
Tengfei Cao132.73
Changqiao Xu273071.39
Junping Du378991.80
Yawen Li4112.85
Xiao Han581675.26
Changhui Gong631.04
Lujie Zhong7286.85
Niyato Dusit89486547.06