Game theory-based radio resource allocation in NOMA vehicular communication networks supported by UAV

Maryam Hosseini; Reza Ghazizadeh; Hamed Farhadi

doi:10.1016/j.phycom.2022.101681

ScienceGate Book Chapters

JOURNAL ARTICLE

Game theory-based radio resource allocation in NOMA vehicular communication networks supported by UAV

Maryam Hosseini Reza Ghazizadeh Hamed Farhadi

Year: 2022 Journal: Physical Communication Vol: 52 Pages: 101681-101681 Publisher: Elsevier BV

DOI: 10.1016/j.phycom.2022.101681

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Noma Game theory Resource allocation Computer network Telecommunications Resource (disambiguation) Telecommunications link Mathematical economics

Metrics

Cited By

7.10

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Vehicular Ad Hoc Networks (VANETs)

Physical Sciences → Engineering → Electrical and Electronic Engineering

Game theory-based radio resource allocation in NOMA vehicular communication networks supported by UAV

Metrics

Citation History

Topics

Related Documents

NOMA-Based Radio Resource Allocation in Vehicular Networks

Game theory based resource allocation for cognitive radio networks

Location-Partition-Based Resource Allocation in D2D-Supported Vehicular Communication Networks

Intelligent Resource Allocation Based on Reinforcement Learning for NOMA Vehicular Cooperative Communication Networks

Stackelberg Game-Based Deployment Design and Radio Resource Allocation in Coordinated UAVs-Assisted Vehicular Communication Networks