Intelligent Network Optimisation for Beyond 5G Networks Considering Packet Drop Rate-Reference-Cited by-同舟云学术

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Intelligent Network Optimisation for Beyond 5G Networks Considering Packet Drop Rate

Published:2024-03-25 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Industrial Technology (ICIT)
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Author:

Mahmoud Haitham¹,Aneiba Adel¹,He Ziming²,Tong Fei²,Guo Liucheng³,Asyhari Taufiq⁴,Wang Ziwei⁵,Gao Zhen⁶

Affiliation:

1. College of Computing, Birmingham City University,Birmingham,United Kingdom

2. Samsung Cambridge Solution Centre,System LSI, Samsung Electronics,Cambridge,United Kingdom

3. Tangi0 LTD (TG0),London,United Kingdom

4. Monash University,Data Science Department,Tangerang,Indonesia

5. School of Engineering, Lancaster University,Lancaster,United Kingdom

6. School of Information and Electronics, Beijing Institute of Technology,Beijing,China

Funder

P.R.C. Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10540646/10540608/10540843.pdf?arnumber=10540843

Reference10 articles.

1. 6G: A comprehensive survey on technologies, applications, challenges, and research problems

2. Network Slicing Technique Assisted Resource Allocation in Small-Cell Networks

3. A Resource Allocation Framework for Network Slicing

4. Resource Allocation for Network Slicing in Mobile Networks

5. Resource allocation for network slicing in dynamic multi-tenant networks: A deep reinforcement learning approach

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