scholarly journals BLOCKCHAIN-BASED NETWORK FUNCTIONS VIRTUALIZATION FOR 5G NETWORK SLICING

2021 ◽  
Vol 20 (4) ◽  
pp. 54-59
Author(s):  
Taras MAKSYMYUK ◽  
◽  
Volodymyr ANDRUSHCHAK ◽  
Stepan DUMYCH ◽  
Bohdan SHUBYN ◽  
...  
Keyword(s):  
Software Defined Radio ◽  
Network Architecture ◽  
Radio Resource Management ◽  
Mobile Network ◽  
Network Slicing ◽  
5G Network ◽  
Radio Resources ◽  
Network Functions ◽  
Mobile Network Operators

The paper proposes a new blockchain-based network architecture for 5G network functions virtualization. By using a combination of AI and blockchain technologies, proposed system provides flexible network deployment, interoperability between different mobile network operators and effective management of radio resources. Experimental testbed of the proposed system has been implemented by using cloud and edge computing infrastructure and software defined radio peripheral NI USRP 2900. Simulation results of the network slicing and radio resource management shows that proposed system is able to double the capacity of the physical network infrastructure, while ensuring the target quality of service for all users.

scholarly journals Design and Experimental Validation of a Software-Defined Radio Access Network Testbed with Slicing Support

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
K. Koutlia ◽  
R. Ferrús ◽  
E. Coronado ◽  
R. Riggio ◽  
F. Casadevall ◽  
...  
Keyword(s):  
Software Defined Radio ◽  
Radio Channel ◽  
Radio Resource Management ◽  
Access Network ◽  
Network Slicing ◽  
Radio Access Network ◽  
Management Framework ◽  
Radio Access ◽  
Radio Resources ◽  
5G Systems

Network slicing is a fundamental feature of 5G systems to partition a single network into a number of segregated logical networks, each optimized for a particular type of service or dedicated to a particular customer or application. The realization of network slicing is particularly challenging in the Radio Access Network (RAN) part, where multiple slices can be multiplexed over the same radio channel and Radio Resource Management (RRM) functions shall be used to split the cell radio resources and achieve the expected behaviour per slice. In this context, this paper describes the key design and implementation aspects of a Software-Defined RAN (SD-RAN) experimental testbed with slicing support. The testbed has been designed consistently with the slicing capabilities and related management framework established by 3GPP in Release 15. The testbed is used to demonstrate the provisioning of RAN slices (e.g., preparation, commissioning, and activation phases) and the operation of the implemented RRM functionality for slice-aware admission control and scheduling.

User Behavior Analysis Based on Gn Interface of GPRS Network

2013 ◽  
Vol 765-767 ◽  
pp. 1205-1209
Author(s):  
Yong Chen ◽  
Wen Li Zhou
Keyword(s):  
Mobile Communications ◽  
User Behavior ◽  
Mobile Network ◽  
Core Network ◽  
General Packet Radio Service ◽  
User Behavior Analysis ◽  
Radio Resources ◽  
Packet Data Transmission ◽  
Mobile Network Operators

The General Packet Radio Service (GPRS) has become a standard to extend the services provided by the Global System for Mobile Communications (GSM). Through the introduction of packet switching technology, GPRS supports the use of packet data transmission, allowing a more efficient usage of the radio resources with a consequent improvement in the quality of service of subscribers. This paper presents some observations of the real operational GPRS network in a certain city by analyzing the characteristics of the data which was captured by monitoring system deployed in the Gn interface of GPRS core network. The distributions of the activated users and on-offline users were analyzed in this paper, as well as the online duration characteristic of mobile users. At last, the distribution of users and sessions was discussed, and finally some valuable conclusions were concluded for the mobile network operators.

scholarly journals SDN-Based Network Slicing Mechanism for a Scalable 4G/5G Core Network: A Kubernetes Approach

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3773
Author(s):  
Robert Botez ◽  
Jose Costa-Requena ◽  
Iustin-Alexandru Ivanciu ◽  
Vlad Strautiu ◽  
Virgil Dobrota
Keyword(s):  
Web Services ◽  
Mobile Network ◽  
High Availability ◽  
Core Network ◽  
Network Resources ◽  
Network Slicing ◽  
5G Network ◽  
Amazon Web Services ◽  
Network Functions ◽  
End To End

Managing the large volumes of IoT and M2M traffic requires the evaluation of the scalability and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedicated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.

Application of Fuzzy Logic for Slice QoS in 5G Networks

2021 ◽  
Vol 12 (2) ◽  
pp. 18-35
Author(s):  
Phudit Ampririt ◽  
Ermioni Qafzezi ◽  
Kevin Bylykbashi ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Additional Parameter ◽  
Software Defined Network ◽  
5G Networks ◽  
Network Slicing ◽  
Fifth Generation ◽  
5G Network ◽  
Simulation Results ◽  
Qos Performance

The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 and FSQoS2. The FSQoS1 considers three parameters: slice throughput (ST), slice delay (SD), and slice loss (SL). In FSQoS2, they consider as an additional parameter the slice reliability (SR). So, FSQoS2 has four input parameters. They carried out simulations for evaluating the performance of the proposed schemes. From simulation results, they conclude that the considered parameters have different effects on the QoS performance. The FSQoS2 is more complex than FSQoS1, but it has a better performance for evaluating QoS. When ST and SR are increasing, the QoS parameter is increased. But, when SD and SL are increasing, the QoS is decreased. When ST is 0.1, SD is 0.1, SL is 0.1, and the QoS is increased by 32.02% when SR is increased from 0.3 to 0.8.

Toward Mobile Web 2.0-Based Business Methods

2011 ◽  
pp. 1515-1535
Author(s):  
Katarzyna Wac ◽  
Richard Bults ◽  
Bert-Jan van Beijnum ◽  
Hong Chen
Keyword(s):  
Service Providers ◽  
Mobile Network ◽  
Mobile Service ◽  
Mobile Web ◽  
Service Deployment ◽  
Business Cases ◽  
Novel Method ◽  
Assurance Process ◽  
Mobile Network Operators

Mobile service providers (MoSPs) emerge, driven by the ubiquitous availability of mobile devices and wireless communication infrastructures. MoSPs’ customers satisfaction and consequently their revenues, largely depend on the quality of service (QoS) provided by wireless network providers (WNPs) available at a particular location-time to support a mobile service delivery. This chapter presents a novel method for the MoSP’s QoS-assurance business process. The method incorporates a location- and time-based QoS-predictions’ service, facilitating the WNP’s selection. The authors explore different business cases for the service deployment. Particularly, they introduce and analyze business viability of QoSIS.net, an enterprise that can provide the QoS-predictions service to MoSPs, Mobile Network Operators (as MoSPs), or directly to their customers (i.e. in B2B/B2C settings). QoSIS.net provides its service based on collaborative-sharing of QoS-information by its users. The authors argue that this service can improve the MoSP’s QoS-assurance process and consequently may increase its revenues, while creating revenues for QoSIS.net.

OpenMobileNetwork

2013 ◽  
Vol 9 (4) ◽  
pp. 46-64 ◽  
Author(s):  
Abdulbaki Uzun ◽  
Eric Neidhardt ◽  
Axel Küpper
Keyword(s):  
Network Topology ◽  
Linked Data ◽  
Service Providers ◽  
Open Data ◽  
Mobile Network ◽  
Base Station ◽  
Network Provisioning ◽  
Crowdsourced Data ◽  
Mobile Network Operators

Mobile network operators maintain data about their mobile network topology, which is mainly used for network provisioning and planning purposes restricting its full business potential. Utilizing this data in combination with the extensive pool of semantically modeled data in the Linking Open Data Cloud, innovative applications can be realized that would establish network operators as service providers and enablers in the highly competitive services market. In this article, the authors introduce the OpenMobileNetwork (available at http://www.openmobilenetwork.org/) as an open solution for providing approximated network topology data based on the principles of Linked Data along with a business concept for network operators to exploit their valuable asset. Since the quality of the estimated network topology is crucial when providing services on top of it, the authors further analyze and evaluate state-of-the-art approaches for estimating base station positions out of crowdsourced data and discuss the results in comparison to real base station locations.

scholarly journals SDN Controlled mmWave Massive MIMO Hybrid Precoding for 5G Heterogeneous Mobile Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Na Chen ◽  
Songlin Sun ◽  
Michel Kadoch ◽  
Bo Rong
Keyword(s):  
Null Space ◽  
Radio Resource Management ◽  
Mobile Network ◽  
Mobile Systems ◽  
Radio Resource ◽  
Channel State ◽  
Hybrid Precoding ◽  
Sdn Controller ◽  
Domain Information

In 5G mobile network, millimeter wave (mmWave) and heterogeneous networks (Hetnets) are significant techniques to sustain coverage and spectral efficiency. In this paper, we utilize the hybrid precoding to overcome hardware constraints on the analog-only beamforming in mmWave systems. Particularly, we identify the complicated antenna coordination and vast spatial domain information as the outstanding challenges in mmWave Hetnets. In our work, we employ software defined network (SDN) to accomplish radio resource management (RRM) and achieve flexible spacial coordination in mmWave Hetnets. In our proposed scheme, SDN controller is responsible for collecting the user channel state information (CSI) and applying hybrid precoding based on the calculated null-space of victim users. Simulation results show that our design can effectively reduce the interference to victim users and support high quality of service.

scholarly journals Framework towards the Process of Estimating or Predicting Perceived QoE Based on the Datasets Obtained the Mobile Network

2019 ◽  
Vol 9 (2) ◽  
pp. 3627-3631
Keyword(s):  
Artificial Intelligence ◽  
Consumer Satisfaction ◽  
Quality Of Experience ◽  
Research Study ◽  
Mobile Network ◽  
Mobile Internet ◽  
Software Defined Network ◽  
Network Functionality ◽  
Mobile Network Operators

Nowadays, the research study community visualizes a standard shift that is going to put the focus on Quality of Experience metrics, which relate directly to complete consumer satisfaction. Yet, determining QoE coming from QoS sizes is a daunting job that powerful Software Defined Network operators are currently able to tackle through artificial intelligence strategies. In this paper, our experts pay attention to a few essential QoE factors, and we to begin with proposing a Bayesian Network design to anticipate re-buffering proportion. This paper suggested a structure for modeling mobile network QoE, making use of the vast records analytics approach. The planned platform explains the method of estimating or forecasting perceived QoE based upon the datasets obtained or collected from the mobile network to enable the mobile network operators efficiently to deal with the network functionality as well as supply the individuals an adequate mobile Internet QoE.

scholarly journals IMPROVING THE QUALITY CHARACTERISTICS OF THE 5G / NR NETWORK USING THE DECOMPOSITION METHOD

2020 ◽  
pp. 35-45
Author(s):  
Irina Strelkovskaya ◽  
Kateryna Klymenko ◽  
Volodymyr Tolmak
Keyword(s):  
Delay Time ◽  
Software Defined Radio ◽  
Decomposition Method ◽  
High Speed ◽  
Mobile Network ◽  
Packet Delay ◽  
Contour Method ◽  
Practical Significance ◽  
Average Value ◽  
5G Network

The paper examines a 5G mobile network based on the NR (New Radio) technology.The 5G network allows you to significantly expand the range of high-speed services, including Internet of Things services. Recommendation 3GPP TR 38.913 defines a group of 5G network services, which include technologies with defined packet latency. The development of these technologies requires the operator to ensure the required values of the QoE characteristics. 5G/NR is based on Software Defined Radio (SDR) and Software Defined Networking (SDN) backbones. To maintain the QoE characteristics for various groups of services in a 5G / NR network, a decomposition method is used. This method allows to create a topological network configuration for various conditions of providing services. In this case, an important issue in the implementation of the decomposition method is the ability to determine the QoE characteristics. The solution of this problem is complex due to the fact that while being dynamic, the network has a sophisticated architecture. Moreover, in the process of dividing one network into several subnets, there is a possibility for some physical resources to be simultaneously involved in several subnets. The purpose of this work is to study the average packet delay time for a network by means of the tensor contour method based on the decomposition. This method allows to simultaneously explore both the structural and functional characteristics of a network. We propose to perform decomposition of the 5G/NR network through dividing it into subnets. We have evaluated the following characteristics for the mentioned network: the average value of packet delay time in the loops of each subnet, the average value of packet delay time in the border branches of each subnet, the average value of packet delay time in the border branches for the whole network. These results have the practical significance for design and further operation of an e-health network. Precisely, they are applicable to select a network topology and to estimate characteristics of the necessary equipment.

scholarly journals 5G uplink interference simulations, analysis and solutions: The case of pico cells dense deployment

2021 ◽  
Vol 11 (3) ◽  
pp. 2245
Author(s):  
Balboul Younes ◽  
Fattah Mohammed ◽  
Mazer Saïd ◽  
Moulhime El Bekkali
Keyword(s):  
High Speed ◽  
Mobile Network ◽  
Industrial Applications ◽  
Wireless Transmission ◽  
Interference Avoidance ◽  
Network Coverage ◽  
5G Network ◽  
Radio Resources ◽  
Flexible Management ◽  
The Internet Of Things

The launch of the new mobile network technology has paved the way for advanced and more productive industrial applications based on high-speed and low latency services offered by 5G. One of the key success points of the 5G network is the available diversity of cell deployment modes and the flexibility in radio resources allocation based on user’s needs. The concept of Pico cells will become the future of 5G as they increase the capacity and improve the network coverage at a low deployment cost. In addition, the short-range wireless transmission of this type of cells uses little energy and will allow dense applications for the internet of things. In this contribution, we present the advantages of using Pico cells and the characteristics of this type of cells in 5G networks. Then, we will do a simulation study of the interferences impact in uplink transmission in the case of PICO cells densified deployment. Finally, we will propose a solution for interference avoidance between pico cells that also allows flexible management of bands allocated to the users in uplink according to user’s density and bandwidth demand.

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