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

2019 ◽  
Vol 9 (3) ◽  
pp. 141
Author(s):  
Cholid Mawardi

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.

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 29525-29537 ◽  
Author(s):  
Xu Li ◽  
Rui Ni ◽  
Jun Chen ◽  
Yibo Lyu ◽  
Zhichao Rong ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
pp. 22-31
Author(s):  
Peby Wahyu Purnawan ◽  
Julia Permatasari

Gagasan dibalik SRAN (Single Radio Access Network) sangat sederhana yaitu dapat mengoperasikan berbagai teknologi radio pada satu platform hardware multiguna. Dalam bentuk pengembangan terbaru, SRAN terdiri dari satu instalasi radio dengan common transport dan sistem operasional dan manajemen dengan keamanan terpadu di seluruh RATs (Radio Access Technologies). Selain itu, SRAN dapat mengoordinasikan dan mengoperasikan berbagai RAT secara terpadu serta mampu menggunakan RAT yang ada untuk menghasilkan kinerja terbaik dengan mengoordinasikan keuntungan masing-masing RAT. Modularitas adalah enabler utama yang meningkatkan kapasitas sesuai dengan permintaan dan spektrum baru dan spektrum yang ada dapat digunakan lebih efisien. Sumatra Utara – site DRDTOBINJAI2 adalah lokasi yang dipilih untuk dimodernisasi dengan solusi SRAN. Hasil implementasi pada site tersebut setelah diuji dan dianalisa, SRAN dapat menyederhanakan penggunaan hardware dari 5 modul sistem dan 5 modul transmisi menjadi 3 modul sistem dan 2 modul transmisi dengan menambahkan teknologi LTE di band 900 dan 2100 pada site tersebut. Efisiensi pada operasional meningkat melalui network sharing, efisiensi energi jaringan radio meningkat sekitar 27% dan software dapat digunakan untuk menentukan fungsi hardware agar lebih fleksibel, performa lebih baik dan meningkatkan efektifitas biaya. Dengan melakukan drive test, SRAN terbukti meningkatkan throughput pada uplink hingga 10 Mbps dan mengurangi waktu delay dari >70 ms menjadi 40 ms.


Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1710
Author(s):  
Khizar Abbas ◽  
Muhammad Afaq ◽  
Talha Ahmed Khan ◽  
Adeel Rafiq ◽  
Wang-Cheol Song

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.


2017 ◽  
Vol 96 (2) ◽  
pp. 2715-2740
Author(s):  
Soha Farhat ◽  
Abed Ellatif Samhat ◽  
Samer Lahoud ◽  
Bernard Cousin

2019 ◽  
Vol 9 (6) ◽  
pp. 4996-5000
Author(s):  
A. Y. Al-Zahrani

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.


2021 ◽  
Vol 27 (2) ◽  
pp. 78-85
Author(s):  
Ivaylo I. Atanasov ◽  
Evelina N. Pencheva

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.


Author(s):  
Shunmugapriya Ramanathan ◽  
Koteswararao Kondepu ◽  
Marco Tacca ◽  
Luca Valcarenghi ◽  
Miguel Razo ◽  
...  

2021 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Bao-Shuh Paul LinI

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.


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