Energy-Efficient Optimization Scheme for RIS-Assisted Communication Underlaying UAV with NOMA-Reference-Cited by-同舟云学术

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Energy-Efficient Optimization Scheme for RIS-Assisted Communication Underlaying UAV with NOMA

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:ICC 2022 - IEEE International Conference on Communications
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Author:

Budhiraja Ishan¹,Vishnoi Vineet¹,Kumar Neeraj²,Garg Deepak¹,Tyagi Sudhanshu³

Affiliation:

1. Bennett University,School of Computer Science Engineering and Technology,Greater Noida,U.P.,India

2. Thapar Institute of Engineering and Technology,Computer Science and Engineering,Patiala,Punjab,India

3. Thapar Institute of Engineering and Technology,Electronics and Communication Engineering,Patiala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838872.pdf?arnumber=9838872

Reference13 articles.

1. Intelligent Reflecting Surface-Assisted Multiple Access With User Pairing: NOMA or OMA?

2. Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization

3. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication

4. Deep-Reinforcement-Learning-Based Proportional Fair Scheduling Control Scheme for Underlay D2D Communication

5. Energy Efficient Mode Selection Scheme for Wireless Powered D2D Communications with NOMA Underlaying UAV

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1. Federated learning based energy efficient scheme for IoT devices: Wireless power transfer using RIS-assisted underlaying solar powered UAVs;Alexandria Engineering Journal;2024-11

2. A Reliable Zero-Trust Network for Task Offloading in Vehicular Systems Using an Asynchronous Federated Learning Approach in 6G;Proceedings of the SIGCOMM Workshop on Zero Trust Architecture for Next Generation Communications;2024-08-04

3. Joint Resource Allocation and Trajectory Design for Energy-Efficient UAV Assisted Networks With User Fairness Guarantee;IEEE Internet of Things Journal;2024-07-01

4. Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV;Alexandria Engineering Journal;2024-03

5. Deep Reinforcement Learning Based Energy-Efficient Design for STAR-IRS Assisted V2V Users;Communications in Computer and Information Science;2024

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