Framework for Optimized Resource Allocation in Multi-User, Multi-Service, Multi-Device Aerial Networks-Reference-Cited by-同舟云学术

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Framework for Optimized Resource Allocation in Multi-User, Multi-Service, Multi-Device Aerial Networks

Published:2024 Issue: Volume:12 Page:54866-54878
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mushtaq Muhammad Irfan¹^ORCID,Chughtai Omer¹^ORCID,Zhang Yudong²^ORCID,Alenezi Ali H.³^ORCID,Alqahtani Nayef⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan

2. School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K

3. Electrical Engineering Department, Remote Sensing Unit, Northern Border University, Arar, Saudi Arabia

4. Department of Electrical Engineering, College of Engineering, King Faisal University, Al-Ahsa, Al-Hofuf, Saudi Arabia

Funder

Deanship of Scientific Research, Northern Border University, Arar, Saudi Arabia, through the research work

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10500327.pdf?arnumber=10500327

Reference38 articles.

1. A Survey on Resource Management for 6G Heterogeneous Networks: Current Research, Future Trends, and Challenges

2. An overview of LTE/LTE‐A heterogeneous networks for 5G and beyond

3. Computing Resource Allocation in Three-Tier IoT Fog Networks: A Joint Optimization Approach Combining Stackelberg Game and Matching

4. Snapshot for IoT: Adaptive Measurement for Multidimensional QoS Resources

5. Adaptive Video Streaming in Multi-Tier Computing Networks: Joint Edge Transcoding and Client Enhancement

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