A game-theoretic learning approach to QoE-driven resource allocation scheme in 5G-enabled IoT

A game-theoretic learning approach to QoE-driven resource allocation scheme in 5G-enabled IoT

Abstract To significantly promote Internet of Things (IoT) development, 5G network is enabled for supporting IoT communications without the limitation of distance and location. This paper investigates the channel allocation problem for IoT uplink communications in the 5G network, with the aim of imp...

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Bibliographic Details
Main Authors: Haibo Dai, Haiyang Zhang, Wei Wu, Baoyun Wang
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Heterogeneous network
IoT
MOS
Resource allocation
Potential game
Online Access:http://link.springer.com/article/10.1186/s13638-019-1359-7

Internet

http://link.springer.com/article/10.1186/s13638-019-1359-7

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