Network Slicing Simulation

What is Network slicing?  In a 5G network, Network slicing simulation plays a significant role in its activity for serving different applications and services. Based on the type of service, the selection of exact slices and assigning the resources to the users is known as Network slicing. 5G network will be divided into numerous slices. Network slicing includes mMTC, eMBB, URLLC at different levels along with Edge computing 5G RAN, and mid, front, and backhaul. 

“Do you need some knowledge about network slicing simulation? This article is helpful for improving your ideology based on the best network slicing simulator projects. Mainly, this page consists of the detailed explanation of Network slicing and novel project ideas.”

Uses of Network Slicing 

Understanding the uses of network slicing that helps to get the overall view about the application of computer networks. A mechanism of Network Slicing Resource Management allocates the necessary resources for each of the slices, Segregation of resources among various slices. So, let’s discuss this in order. 

• It helps to build numerous numbers of visualized and logical networks, with usual multi arena structure by using Network functioning visualization and Software-defined network.  
• The benefits of network slices are that they can be utilized to perform in multiple areas based on the need. Example: Streaming videos with high definition demands excessive bandwidth slice and streaming applications in real-time demands reluctance network slice. 

The uses of network slicing give you the information that is discussed with examples and their functioning. Uses of network slicing can be portrayed with recent technological updates such as 5G. 

We have world-class best engineers and they are well-versed in various fields that update themselves day by day with technological advancement. This helps us to provide the best service for your projects. Now, we will move on to the next topic which is, Network slicing based on Wi-Fi and LTE.

Network slicing in WiFi-based 

Multiple Service Set Identifiers (SSIDs) per Access Point (AP) is defined by a formal flexible network slicing approach for the radio entrance section of WiFi Simulator. Two algorithms will be circulated; one is based on the circumstances of network and reliable key performance indicators, when WiFi-based network slicing firmly construct the slices and another is that allocates resources based on the necessity of slices with stability. 

Network Slicing in LTE based 

Network slicing in the LTE-based function follows a two-fold process. 

• It primarily introduces Slice optimizer, a unique module; Inserted in the LTE’s evolved node B, which is in charge to realize the notion of network slicing in the downlink channel of LTE. 
• Based on the condition of the network, recognizing the enhanced service quality by users, it displays Slice optimizer as it firmly reallocates resources to slices of the network. 
• The slice optimizer is in charge of providing the provision of eNB’s scheduler with data of network slicing and based on the network state, the slice optimizer can reallocate the resources to slices of the network. 

Hope that the concepts are clear under the part of Network slicing in WiFi-based and LTE-based. Then the following part of this article talks about the applications in network slicing simulation. 

Applications of 5G Network Slicing  

• Applications with customized networks – Network slicing is an essential component of 5G network, permitting the formation and administration of personalized applications of networks to reach the particular demands of service by various business verticals, services, and applications. 

• Massive IoT with Slice applications – It helps to observe and administer the position of transport traffic control. One can gather information about traffic conditions along with communication terminals of enormous machine kinds. 

• Application with 5G Multi-domain Environment – In 5G mobile networks, Network slicing is the essential technology. A systematic slice distribution algorithm is required to decrease the consumption of energy, costs of the network operator, and in giving prominent service to the users. 

Applications of network slicing simulation are explained in an understandable manner. As of, the recent technologies are applicable in various ways relating to network simulators. This kind of updated information can be utilized in upcoming projects. On the other hand, we are providing online guidance for your extraordinary projects. So, you can reach us to get your project done. Now, fine further we can go discuss the list of network slicing tools.

List of Network Slicing Simulation Tools 

A list of tools used in network slicing simulation will help us understand the how slicing network is functioning. Some of them are OMNET++4.6 and NS-3.26. Let’s discuss this list in detail

OMNeT++ 4.6 

For the purpose of creating a network simulator, module based on C++ simulation outline and library, accessible and expandable OMNeT++ is utilized. Network slicing is basically worked with Network Function Virtualization and Software Defined Network and it is coming out as an exclusive technology. It divides the structure of the network into separate virtual networks and permits them to overview the resources of the network based on the necessity and features. With the management of resources, OMNeT++ builds difficulty in assigning resources in equity for every slice, end-to-end delay, and in outcomes of equipping network. 

A Mobility Management architecture-based Network Slicing (MMNS) is an objective stage that merges various Radio Access Technologies (RATs) and permits those slices to make into parts, in the process to reassure the changing needs of various slices. Slice directs its users diversely in radio access technologies includes 5G networks, LTE, and WiFi. In order process simulation, OMNeT++ utilizes Simulate and Inet packages.

NS-3.26

NS-3 is open software, approved in the GNU GPLv2 accredit, and is widely accessible for research, development, and utilization. Ns-3 provides the design of how networks of package data toil and execute functions, and gives a simulation mechanism for users to perform experiments of simulation.

We provide you with adjustable internal circumstances in Wi-Fi, understood with the network simulator of NS-3. To generate an outline to enlarge and appraise the techniques of network slicing for Wi-Fi networks, several mobile Stations (STAs) are related to an Access Point (AP) positioned in the core of the location. The STAs include different requirements of performance, and they are grouped in various networks slices such as mMTC, URLLC, and eMBB. 

Algorithms of radio resources allocation will be executed and the examining to understand network slicing in the radio access section of Wi-Fi networks. In that process, threesteps are required to be followed in particular:

• Organize the physical parameters, such as essential output in every slice, the magnitude of the location, and the amount of Wi-Fi STAs. 
• An active algorithm that assigns resources of radio at every time period needs to be written, by getting in contribution on the network with Indicators of Key Performance (KPIs). 
• Unlimited access to this kind of algorithm that can be executed, and assist the methods of Machine Learning (ML). 
• At last, when the replication time came to an end, using a .csv file the experienced execution of components such as consumption of energy, latency, throughput, the capability of the spectrum, chances of error can be approached. 

Models for Network Slicing in NS3 

Network simulator i.e. NS-3 with the LTE EPC Network Simulator (LENA) design works on FPGA-based instantaneous execution of LTE Layer 1 that is Outline of NI LTE Application. The consequential stage is a building wedge for testbeds that supports the model of the structure of the network and 5G radio edge. It promotes the model of back-to-back applications of all surfaces of a wireless communication system in which the performance was incorporated. 

LTE model of Network simulator NS- e also come up with Evolved packet core, LTE layer 2 and Layer 3. Difficult to access LTE layer 1 was executed by Outline of NI LTE network Application. Based on the outlook of NS-3, three important assistances are provided, they are: 

• Immobilize the actual layer emulation component in the LTE model.
• Accumulation of a Layer 1 / Layer 2 API in the position of the physical layer emulation, to incorporate ns-3 Layer 2 and over the LTE Layer 1 implemented on FPGA. 
• In the process of executing on distinct nodes, a division of ns-3UE and ns-3eNB was made. 

The above points represent the list of network slicing tools and we viewed them in an explanatory way. In recent times, these are the widely used tools for network slicing simulation. Based on technological advancement, our experts are continuously offering quality projects for our customers. We ensure you that our research topics are always up-to-date and create imprints of future technologies. So, you can reach us to get your project done. 

 Here, we represented the Research topics regarding computer network simulation. These project tiles will help you gather information about various areas. Let’s look into it.

Research Topics in Network Slicing

• Data Aggregation applied in Network Slicing of Energy Efficient WSN
• Deciding and Inserting 5G Back to Back Data-Centric Network Slice 
• Blockchain Techniques for protecting E-Health Networks in Network Slicing
• Slicing of Optimal Network for Service-Oriented Networks with Approved E2E Latency 
• Assigning of Huge L-shape Fit Spectrum for Flexible Optical Network along with Spectrum Slicing

So far, we are discussing a lot of information about network simulation and recent project ideas relating to network slicing simulation. In our concern, we have 100+ employees who are there for you to help with your project and we are continuously working for providing the best service. Until we have 5000+ happy customers they are fully satisfied with our service. Quickly join us for enhancing your project ideas. 

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