Ergodic Capacity of NOMA-Based Uplink Satellite Networks With Randomly Deployed Users

Xiaojuan Yan; Hailin Xiao; Kang An; Gan Zheng; Symeon Chatzinotas

doi:10.1109/jsyst.2019.2934358

ScienceGate Book Chapters

JOURNAL ARTICLE

Ergodic Capacity of NOMA-Based Uplink Satellite Networks With Randomly Deployed Users

Xiaojuan Yan Hailin Xiao Kang An Gan Zheng Symeon Chatzinotas

Year: 2019 Journal: IEEE Systems Journal Vol: 14 (3)Pages: 3343-3350 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jsyst.2019.2934358

Get Full-Text PDF Get Analytical Report

Abstract

peer reviewed

Keywords:

Computer science Telecommunications link Noma Computer network Quality of service Ergodic theory Channel state information Channel (broadcasting) Transmission (telecommunications) Key (lock) Channel capacity Distributed computing Telecommunications Wireless Mathematics Computer security

Metrics

103

Cited By

20.28

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Satellite Communication Systems

Physical Sciences → Engineering → Aerospace Engineering

Advanced Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

IoT Networks and Protocols

Physical Sciences → Engineering → Electrical and Electronic Engineering

Ergodic Capacity of NOMA-Based Uplink Satellite Networks With Randomly Deployed Users

Abstract

Metrics

Citation History

Topics

Related Documents

Ergodic Rate and Fairness Analysis of Uplink RSMA With Randomly Deployed Users

Performance Analysis of IRS-Assisted NOMA Networks With Randomly Deployed Users

Performance Analysis of MIMO-NOMA Systems with Randomly Deployed Users

On the ergodic capacity of NOMA-based cognitive hybrid satellite terrestrial networks

Ergodic Capacity of NOMA-Based Overlay Cognitive Integrated Satellite-UAV-Terrestrial Networks