scholarly journals Toward an AI-Enabled O-RAN-based and SDN/NFV-driven 5Ｇ& IoT Network Era

2021 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Bao-Shuh Paul LinI
Keyword(s):  
High Performance ◽  
Access Network ◽  
Industrial Applications ◽  
Core Network ◽  
Radio Access Network ◽  
Radio Access ◽  
System Solution ◽  
Intelligent Technology ◽  
Management Functions ◽  
Architecture And Design

Artificial Intelligent Technology has impacted tremendously in the areas of high performance computing, and network and communicatons industries. The advantages of a system applying AI includes performance improvent, optimization, and intelligent or smart AnFor intelligent fesure of 5G, network slicing, provided by Network equipment vendor by applying AI, softwarization and virtualization technologies to the network. For many other industries and applications such as healthcare, agriculture, finance, have benefited from AI technology in particular machine learning and deep learning within AL.With the integration of AI, 5G, and Inernet of Thngs, the industrial applications, smart farms, precision medicine.,smart city. This article focuses on the System architecture and design of open networking solution of the future of 5G, beyond-5G (B5G) or 6G. Among the challenges of an ON system solution, the propriety of radio access network (RAN) is one of essential challenges. The Open-RAN Alliance is formed through the integration of C-RAN Alliance and X-RAN Forum. The O-RAN Alliance mission’s is converting the radio access network industry to become an open networking intelligent, virtualized, and fully interoperable RAN. To realize B5G or 6G by applying O-RAN architecture and ecosystem is called O-RAN based B5G/6G The Integration of O-RAN based 5G RAN part and the SDN/NFV-based softwarization and virtualization of Core Network, Transport Network and Management functions, we can derive a stage of fully Open Networking architecture for the software (AI/M/DL) developers to work.

scholarly journals End-to-End Network Slicing in Radio Access Network, Transport Network and Core Network Domains

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 29525-29537 ◽  
Author(s):  
Xu Li ◽  
Rui Ni ◽  
Jun Chen ◽  
Yibo Lyu ◽  
Zhichao Rong ◽  
...  
Keyword(s):  
Access Network ◽  
Transport Network ◽  
Core Network ◽  
Network Slicing ◽  
Radio Access Network ◽  
Network Transport ◽  
Radio Access ◽  
End To End

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.

scholarly journals Analisa Regulasi Network Sharing Berbasis Multi Operator Core Network (MOCN)

2019 ◽  
Vol 9 (3) ◽  
pp. 141
Author(s):  
Cholid Mawardi
Keyword(s):  
Penetration Rate ◽  
Access Network ◽  
Core Network ◽  
Radio Access Network ◽  
Radio Access ◽  
Network Sharing

Model kerja sama antar operator telekomunikasi sudah menjadi tren pada kondisi saat ini, selain menjadi bagian strategi untuk mengembangkan bisnisnya, juga menjadi solusi efisiensi pengeluaran operator. Kerja sama skema Multi Operator Core Network (MOCN) memiliki kemampuan berbagi spektrum dalam skema kerja samanya. Di beberapa negara, network sharing jenis MOCN sudah banyak diterapkan, di Malaysia dan Hongkong sejak tahun 2012 dan 2013 telah memakai jenis network sharing tersebut. Di Indonesia, pemerintah belum menetapkan regulasi yang sesuai serta memilki dampak bagi kesiapan operator bagi revenue yang akan diperoleh jika MOCN sudah memiliki regulasi.Metode Penelitian serta kajian yang dilakukan merujuk pada sistem Benchmarking pada negara yang sudah menerapkan regulasi baik MOCN maupun sistem Multi Operator Radio Access Network (MOCN). Kajian ini diperlukan untuk membandingkan apakah kondisi negara tersebut dari paramater jumah penduduk, penetration rate, hingga teknologi yang dipakai bisa juga diterapkan di negara Indonesia Dari hasil penelitian ini juga, dapat merekomendasikan MOCN pada penyelenggaraan di Indonesia dengan analisis benchmarking regulasi pada negara yang telah menerapkan MOCN, dengan keberhasilan negara yang sudah menerapkan MOCN maka akan menjadi peluang besar untuk negara Indonesia menerapkan MOCN dengan mengambil analisi terendah. Adapun analisis pangsa pasar dari data yang didapat dari operator, optimalisasi cakupan seluler dapat menjadi acuan dalam pelaksanaan MOCN demi pertumbuhan jaringan di daerah yang jarang penduduk dan mendukung pertumbuhan GDP serta pendapatan fiskal bagi negara.

scholarly journals On the Statistical Distribution of Packets Service Time in Cellular Access Networks

2019 ◽  
Vol 9 (6) ◽  
pp. 4996-5000
Author(s):  
A. Y. Al-Zahrani
Keyword(s):  
Service Time ◽  
Access Network ◽  
Base Station ◽  
Radio Waves ◽  
Core Network ◽  
Actual Distribution ◽  
Radio Access Network ◽  
Radio Access ◽  
A Cell ◽  
Multiple Cells

A cellular communication system is divided into two main parts, core network, and radio access network. This research is concerned with the radio access network part which consists of multiple-cells, each served by a central located base station. Furthermore, the users in each cell are considered to be uniformly distributed inside the cell. In the downlink context, the users’ packets usually arrive at the base station via fiber optic and then are relayed to the users via radio waves of certain frequency/ies. The speeds of delivering users’ packets vary, depending on the users’ location. In this paper, the actual distribution of the service time over different users whose locations are uniformly distributed in a cell served by one base station is analytically found. Simulation results are presented to validate the derived model.

scholarly journals Programmability of Connectivity Control

2021 ◽  
Vol 27 (2) ◽  
pp. 78-85
Author(s):  
Ivaylo I. Atanasov ◽  
Evelina N. Pencheva
Keyword(s):  
Access Network ◽  
Edge Computing ◽  
Core Network ◽  
Access Technology ◽  
Radio Access Network ◽  
Radio Access Technology ◽  
Fifth Generation ◽  
Radio Access ◽  
Multi Access ◽  
Network Interfaces

Network programmability and edge computing as key features of next generation communications enable innovative services. While the programmability is focused on the core network of the fifth-generation system, the edge computing moves the network intelligence to the radio access network. This paper presents a study on the programmability of connectivity control as a function of radio access network using Multi-access Edge Computing. The capability of using more than one radio access technology simultaneously enhances reliability and increases the throughput, especially in dense networks. Opening the radio access network interfaces for programmability of multi-connectivity enables analytics applications to control the device connections to multiple radio links simultaneously based on information of radio conditions, user location or specific policies. The research novelty is in opening the radio access network interfaces for edge applications to access connectivity control.

Container Migration of Core Network Component in Cloud-Native Radio Access Network

2020 ◽  
Author(s):  
Shunmugapriya Ramanathan ◽  
Koteswararao Kondepu ◽  
Marco Tacca ◽  
Luca Valcarenghi ◽  
Miguel Razo ◽  
...  
Keyword(s):  
Access Network ◽  
Core Network ◽  
Radio Access Network ◽  
Radio Access ◽  
Network Component

scholarly journals Signalling load reduction in 5G network based on cloud radio access network architecture

2021 ◽  
Vol 11 (6) ◽  
pp. 5127
Author(s):  
Mohammed Abbas Waheed ◽  
Azzad Bader Saeed ◽  
Thanaa Hussein Abd
Keyword(s):  
Network Architecture ◽  
Access Network ◽  
Base Stations ◽  
Core Network ◽  
Matlab Simulation ◽  
Traditional Architecture ◽  
Radio Access Network ◽  
Cloud Radio Access Network ◽  
Radio Access ◽  
Novel Approach

The rapid growth of both mobile users and application numbers has caused a huge load on the core network (CN). This is attributed to the large numbers of control messages circulating between CN entities for each communication or service request, however, making it imperative to develop innovative designs to handle this load. Consequently, a variety of proposed architectures, including a software defined network (SDN) paradigm focused on the separation of control and data plans, have been implemented to make networks more flexible. Cloud radio access network (C-RAN) architecture has been suggested for this purpose, which is based on separating base band units (BBU) from several base stations and assembling these in one place. In this work, a novel approach to realize this process is based on SDN and C-RAN, which also distributes the control elements of the CN and locates them alongside the BBU to obtain the lowest possible load. The performance of this proposed architecture was evaluated against traditional architecture using MATLAB simulation, and. the results of this assessment indicated a major reduction in signalling load as compared to that seen in the traditional architecture. Overall, the number of signalling messages exchanged between control entities was decreased by 53.19 percent as compared to that seen in the existing architecture.

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