Optimized and dynamic resource provisioning in AI assisted 6G networks

被引：0
|
作者：
Tzanakaki, Anna [1 ]
Manolopoulos, Alexandros-Ioannis [1 ]
Alevizaki, Viktoria-Maria [1 ]
Anastasopoulos, Markos [1 ]
机构：
[1] Natl & Kapodistrian Univ Athens, Athens, Greece
来源：
2023 IEEE FUTURE NETWORKS WORLD FORUM, FNWF | 2024年
关键词：
5G Network; Optimization; Neural Networks;
D O I：
10.1109/FNWF58287.2023.10520569
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes dynamically optimize resource allocation in 6G systems that are supported by optical transport networks, to achieve improved flexibility and efficiency. A novel scheme that can practically facilitate this functionality is also described. The proposed scheme exploits real mobile user statistics, 5G test-bed profiling measurements infrastructure resource efficiency.
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收藏
页数：6
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