Energy efficiency maximization for IRS-assisted NOMA networks

Jianling Wang; Jing Li

doi:10.1016/j.phycom.2022.101647

ScienceGate Book Chapters

JOURNAL ARTICLE

Energy efficiency maximization for IRS-assisted NOMA networks

Jianling Wang Jing Li

Year: 2022 Journal: Physical Communication Vol: 52 Pages: 101647-101647 Publisher: Elsevier BV

DOI: 10.1016/j.phycom.2022.101647

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Coordinate descent Noma Maximization Base station Wireless Efficient energy use Energy (signal processing) Channel (broadcasting) Block (permutation group theory) Frame (networking) Gradient descent Mathematical optimization Algorithm Real-time computing Telecommunications Artificial intelligence Telecommunications link Electrical engineering Mathematics

Metrics

Cited By

0.86

FWCI (Field Weighted Citation Impact)

Refs

0.68

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Optical Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Underwater Vehicles and Communication Systems

Physical Sciences → Engineering → Ocean Engineering

Energy efficiency maximization for IRS-assisted NOMA networks

Metrics

Citation History

Topics

Related Documents

Energy Efficiency Maximization for Active IRS-Assisted Uplink NOMA Systems

Energy Efficiency Maximization in IRS-Assisted Wireless Powered MEC Systems With NOMA

System throughput maximization in IRS-assisted phase cooperative NOMA networks

Achievable Rate Maximization for Multi-IRS Assisted AAV-NOMA Networks

Sum-Rate Maximization for Partitioned-IRS-Assisted Hybrid NOMA Networks