Blockchain and AI Enabled Configurable Reflection Resource Allocation for IRS-Aided Coexisting Drone-Terrestrial Networks-Reference-Cited by-同舟云学术

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Blockchain and AI Enabled Configurable Reflection Resource Allocation for IRS-Aided Coexisting Drone-Terrestrial Networks

Published:2022-12 Issue:6 Volume:29 Page:46-54
ISSN:1536-1284
Container-title:IEEE Wireless Communications
language:
Short-container-title:IEEE Wireless Commun.

Author:

Pan Qianqian¹,Wu Jun²,Bashir Ali Kashif³,Li Jianhua¹,Vashisht Sahil⁴,Nawaz Raheel⁵

Affiliation:

1. Shanghai Jiao Tong University, China and with Shanghai Key Laboratory of Integrated Administration Technologies for Information Security,China

2. Waseda University,Japan

3. Manchester Metropolitan University,U.K.

4. Shree Guru Gobind Singh Tricentenary University,India

5. Staffordshire University,U.K.

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7742/10003075/10003080.pdf?arnumber=10003080

Reference15 articles.

1. Neural Combinatorial Deep Reinforcement Learning for Age-Optimal Joint Trajectory and Scheduling Design in UAV-Assisted Networks

2. P2AE: Preserving Privacy, Accuracy, and Efficiency in Location-dependent Mobile Crowdsensing

3. Application-Aware Consensus Management for Software-Defined Intelligent Blockchain in IoT

4. Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis

5. A Decoupled Blockchain Approach for Edge-Envisioned IoT-Based Healthcare Monitoring

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4. IRS-Aided Federated Learning with Dynamic Differential Privacy for UAVs in Emergency Response;IEEE Internet of Things Magazine;2024-07

5. Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-Assisted MEC Systems;IEEE Internet of Things Journal;2024-06-15

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