Resource Allocation and Deep Learning-Based Joint Detection Scheme in Satellite NOMA Systems

Meng Sun; Qi Zhang; Haipeng Yao; Ran Gao; Yi Zhao; Mohsen Guizani

doi:10.1109/twc.2024.3496089

ScienceGate Book Chapters

JOURNAL ARTICLE

Resource Allocation and Deep Learning-Based Joint Detection Scheme in Satellite NOMA Systems

Meng Sun Qi Zhang Haipeng Yao Ran Gao Yi Zhao Mohsen Guizani

Year: 2024 Journal: IEEE Transactions on Wireless Communications Vol: 24 (1)Pages: 526-539 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/twc.2024.3496089

Get Full-Text PDF Get Analytical Report

Keywords:

Noma Computer science Resource allocation Joint (building) Resource management (computing) Scheme (mathematics) Communications satellite Satellite Multiuser detection Satellite system Telecommunications link Telecommunications Computer network Artificial intelligence Code division multiple access Global Positioning System Engineering Mathematics

Metrics

Cited By

3.96

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Satellite Communication Systems

Physical Sciences → Engineering → Aerospace Engineering

Spacecraft Design and Technology

Physical Sciences → Engineering → Aerospace Engineering

IoT Networks and Protocols

Physical Sciences → Engineering → Electrical and Electronic Engineering

Resource Allocation and Deep Learning-Based Joint Detection Scheme in Satellite NOMA Systems

Metrics

Citation History

Topics

Related Documents

Deep Learning-Based Resource Allocation Scheme for Heterogeneous NOMA Networks

Priority-Based Joint Resource Allocation With Deep Q-Learning for Heterogeneous NOMA Systems

Deep Learning-Based Joint Detection for OFDM-NOMA Scheme

Deep learning based constrained resource allocation in NOMA-IBFD cellular systems

Deep Reinforcement Learning based Resource Allocation in NOMA