Fronthaul network design for radio access network virtualization from a CAPEX/OPEX perspective

2016 ◽  
Vol 71 (11-12) ◽  
pp. 665-676 ◽  
Author(s):  
Hassan Yeganeh ◽  
Elaheh Vaezpour
Keyword(s):  
Network Design ◽  
Network Virtualization ◽  
Access Network ◽  
Radio Access Network ◽  
Radio Access

Intelligent framework for radio access network design

2019 ◽  
Vol 26 (1) ◽  
pp. 759-774 ◽  
Author(s):  
Taras Maksymyuk ◽  
Eugen Šlapak ◽  
Gabriel Bugár ◽  
Denis Horváth ◽  
Juraj Gazda
Keyword(s):  
Network Design ◽  
Access Network ◽  
Radio Access Network ◽  
Radio Access

scholarly journals Slicing the Core Network and Radio Access Network Domains through Intent-Based Networking for 5G Networks

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1710
Author(s):  
Khizar Abbas ◽  
Muhammad Afaq ◽  
Talha Ahmed Khan ◽  
Adeel Rafiq ◽  
Wang-Cheol Song
Keyword(s):  
Network Virtualization ◽  
Access Network ◽  
Automated System ◽  
Core Network ◽  
Network Slicing ◽  
Radio Access Network ◽  
The Core ◽  
Radio Access ◽  
Wide Range ◽  
Physical Infrastructure

The fifth-generation mobile network presents a wide range of services which have different requirements in terms of performance, bandwidth, reliability, and latency. The legacy networks are not capable to handle these diverse services with the same physical infrastructure. In this way, network virtualization presents a reliable solution named network slicing that supports service heterogeneity and provides differentiated resources to each service. Network slicing enables network operators to create multiple logical networks over a common physical infrastructure. In this research article, we have designed and implemented an intent-based network slicing system that can slice and manage the core network and radio access network (RAN) resources efficiently. It is an automated system, where users just need to provide higher-level network configurations in the form of intents/contracts for a network slice, and in return, our system deploys and configures the requested resources accordingly. Further, our system grants the automation of the network configurations process and reduces the manual effort. It has an intent-based networking (IBN) tool which can control, manage, and monitor the network slice resources properly. Moreover, a deep learning model, the generative adversarial neural network (GAN), has been used for the management of network resources. Several tests have been carried out with our system by creating three slices, which shows better performance in terms of bandwidth and latency.

Radio access network virtualization for future mobile carrier networks

2013 ◽  
Vol 51 (7) ◽  
pp. 27-35 ◽  
Author(s):  
Xavier Costa-Perez ◽  
Joerg Swetina ◽  
Tao Guo ◽  
Rajesh Mahindra ◽  
Sampath Rangarajan
Keyword(s):  
Network Virtualization ◽  
Access Network ◽  
Radio Access Network ◽  
Mobile Carrier ◽  
Radio Access

Radio access network design with software-defined mobility management

2020 ◽  
Vol 26 (5) ◽  
pp. 3349-3362
Author(s):  
Ahan Kak ◽  
Aleksey Kureev ◽  
Evgeny Khorov ◽  
Ian F. Akyildiz
Keyword(s):  
Network Design ◽  
Mobility Management ◽  
Access Network ◽  
Radio Access Network ◽  
Radio Access
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