Improving Application Support in 6G Networks With CAPOM: Confluence-Aided Process Organization Method-Reference-Cited by-同舟云学术

Improving Application Support in 6G Networks With CAPOM: Confluence-Aided Process Organization Method

Published:2023 Issue: Volume:11 Page:99426-99437
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alsayaydeh Jamil Abedalrahim Jamil¹^ORCID,Irianto ²^ORCID,Al-Gburi Ahmed Jamal Abdullah¹^ORCID,Herawan Safarudin Gazali³

Affiliation:

1. Department of Electronics and Computer Engineering Technology, Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik (FTKEE), Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia

2. Department of General Education, Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates

3. Industrial Engineering Department, Faculty of Engineering, Bina Nusantara University, Jakarta, Indonesia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10235956.pdf?arnumber=10235956

Reference40 articles.

1. An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach

2. Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation

3. Machine learning-based approach: Global trends, research directions, and regulatory standpoints

4. A Federated Deep Learning Empowered Resource Management Method to Optimize 5G and 6G Quality of Services (QoS)

5. Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G

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