A Game-Theoretic Learning Approach to QoE-driven Resource Allocation Scheme in 5g-Enabled IoT

Eurasip Journal on Wireless Communications and Networking - United States
doi 10.1186/s13638-019-1359-7
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Game Theoretic Efficient Radio Resource Allocation in 5G Resilient Networks: A Data Driven Approach

Transactions on Emerging Telecommunications Technologies
Electronic EngineeringElectrical
2019English

A Cooperative Online Learning Scheme for Resource Allocation in 5G Systems

2016English

Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach

PLoS ONE
Multidisciplinary
2016English

Machine Learning Prediction Approach to Enhance Congestion Control in 5G IoT Environment

Electronics (Switzerland)
ControlElectronic EngineeringSignal ProcessingComputer NetworksSystems EngineeringHardwareCommunicationsElectricalArchitecture
2019English

A Game Theoretic Approach to Swarm Robotics

Applied Bionics and Biomechanics
MedicineBioengineeringBiomedical EngineeringBiotechnology
2006English

Resource Allocation for Uplink M2M Communication: A Game Theory Approach

2013English

A Game Theoretic Approach to Contracts in Multiagent Systems

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)
2006English

LoRa-MAB: A Flexible Simulator for Decentralized Learning Resource Allocation in IoT Networks

2019English

On a Simple Resource-Allocation Game.

1978English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy