Throughput Maximization of Wireless Powered IoT Network With Hybrid NOMA-TDMA Scheme: A Genetic Algorithm Approach-Reference-Cited by-同舟云学术

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Throughput Maximization of Wireless Powered IoT Network With Hybrid NOMA-TDMA Scheme: A Genetic Algorithm Approach

Published:2024 Issue: Volume:12 Page:65241-65253
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Afridi Abid¹^ORCID,Hameed Iqra²^ORCID,García Carla E.³^ORCID,Koo Insoo¹^ORCID

Affiliation:

1. Department of Electrical Electronic and Computer Engineering, University of Ulsan, Ulsan, South Korea

2. Department of Electronic Engineering, Hanyang University, Seoul, South Korea

3. Interdisciplinary Centre for Security Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg

Funder

Regional Innovation Strategy through the National Research Foundation of Korea funded by the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10518025.pdf?arnumber=10518025

Reference56 articles.

1. Toward the Evolution of Wireless Powered Communication Networks for the Future Internet of Things

2. Internet of Things and Its Applications: A Comprehensive Survey

3. Intelligent Personal Assistants Based on Internet of Things Approaches

4. Energy management in Wireless Sensor Networks: A survey

5. Throughput maximization in wireless powered communication networks with energy saving

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1. Exploring the potential of 5G uplink communication: Synergistic integration of joint power control, user grouping, and multi-learning Grey Wolf Optimizer;Scientific Reports;2024-09-13

2. Enhancing Indoor Localization Accuracy through Multiple Access Point Deployment;Electronics;2024-08-21

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