Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks-Reference-Cited by-同舟云学术

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Baseband-Function Placement With Multi-Task Traffic Prediction for 5G Radio Access Networks

Published:2022-12 Issue:4 Volume:19 Page:5104-5119
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Moreira Zorello Ligia Maria¹^ORCID,Bliek Laurens²^ORCID,Troia Sebastian¹^ORCID,Guns Tias³,Verwer Sicco⁴^ORCID,Maier Guido¹

Affiliation:

1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

2. Department of Industrial Engineering and Innovation Sciences, TU Eindhoven, Eindhoven, The Netherlands

3. Economic and Social Sciences & Solvay Business School, Vrije Universiteit Brussel, Brussels, Belgium

4. Faculty of Electrical Engineering, Mathematics and Computer Science, TU Delft, Delft, The Netherlands

Funder

European Community

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/10034788/09826849.pdf?arnumber=9826849

Reference46 articles.

1. Sliced-RAN: Joint Slicing and Functional Split in Future 5G Radio Access Networks

2. Latency-Aware CU Placement/Handover in Dynamic WDM Access-Aggregation Networks

3. Multi-Objective Function Splitting and Placement of Network Slices in 5G Mobile Networks

4. A Flexible and Future-Proof Power Model for Cellular Base Stations

5. Apt-RAN: A Flexible Split-Based 5G RAN to Minimize Energy Consumption and Handovers

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Black-box optimization for anticipated baseband-function placement in 5G networks;Computer Networks;2024-05

2. Prophet: Traffic Engineering-Centric Traffic Matrix Prediction;IEEE/ACM Transactions on Networking;2024

3. A novel group management scheme of clustered federated learning for mobile traffic prediction in mobile edge computing systems;Journal of Communications and Networks;2023-08

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