Imperfect CSI-Based Resource Management in Cognitive IoT Networks: A Deep Recurrent Reinforcement Learning Framework-Reference-Cited by-同舟云学术

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Imperfect CSI-Based Resource Management in Cognitive IoT Networks: A Deep Recurrent Reinforcement Learning Framework

Published:2023-10 Issue:5 Volume:9 Page:1271-1281
ISSN:2332-7731
Container-title:IEEE Transactions on Cognitive Communications and Networking
language:
Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Kaur Amandeep¹^ORCID,Kumar Krishan²^ORCID,Prakash Arun³,Tripathi Rajeev³

Affiliation:

1. Department of Management Studies, ABV-Indian Institute of Information Technology and Management, Gwalior, India

2. Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Hamirpur, India

3. Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

Funder

Department of Science and Technology, New Delhi, Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/6687307/10272990/10109759.pdf?arnumber=10109759

Reference31 articles.

1. Narrowband Internet of Things Systems With Opportunistic D2D Communication

2. Performance Analysis of D2D Energy Efficient IoT Networks with Relay-Assisted Underlaying Technique

3. Priority-based spectrum access in cognitive D2D networks for IoT

4. Zonal-Based GrEEn Algorithm for Augmenting the Battery Life in Spectrum Shared Networks via D2D Communication

5. Gate-variants of Gated Recurrent Unit (GRU) neural networks

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3. Reinforcement Learning Based Resource Management for 6G-Enabled mIoT With Hypergraph Interference Model;IEEE Transactions on Communications;2024-07

4. Partially Cooperative RL for Hybrid Action CRNs With Imperfect CSI;IEEE Open Journal of the Communications Society;2024

5. Machine Learning Empowered Green Task Offloading for Mobile Edge Computing in 5G Networks;IEEE Transactions on Network and Service Management;2023

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