NS3 5G Simulation

In this page we will explore about NS3 5G Simulation in depth. The fifth generation of the cellular / mobile network system is shorty referred to as the 5G. Initially, 5G works under the principle of Non-standalone operations. Later, it fully converted into standalone architecture. Here, it includes the core technology as the followings:

5G mMTC (massive Machine Type Communications)
5G URLLC (Ultra-Reliable Low Latency Communications)
5G eMBB (enhanced Mobile Broadband)

On this page, you can grasp knowledge on NS3 5G Simulation with their significant characteristics!!!

What is ns-3?

As a matter of fact, NS-3 is majorly implemented in C++, which holds a wide range of libraries and modules to support discrete-event models. It is the packet-level open source software with the abilities of interactive testbeds, parallel clusters, and real code execution. Further, it also comprises the followings,

One-stop simulator to study the behavior and performance of the real-time and non-real-time networks
A different set of contributed modules from community support to build new models.

Next, we can see how the 5G project using the NS3 tool is executed in a single machine / PC. This will explicitly show the functionalities of NS3 in the different layers. Here, we have mentioned the physical, MAC, Transport, Network, and Application layer in the order of NS3 5G simulation.

How does NS3 Works?

Physical Layer
- High-fidelity models (WiFi and LTE)
- Mobility models
- IEEE 802.15.4 standard
- Energy extension
- Radio propagation
MAC Layer
- Enable packets scheduling through a network interface in testbeds
Transport
- Activates the transmission of the logical service from the source device to the application hosts.
Network
- Routing packets from the source to the destination node.
Application
- Run the real-time software or application programming interfaces (APIs) for end-users usage

So far, we have debated on the fundamental of NS3 and the workflow of the NS3 system. Now, we can see the importance of the 5G system in cellular communication. These are the key factor that stimulates everyone to move on toward the Ns3 5G Simulation research.

Why simulation for 5G wireless networks?

Test orchestration is costly on a different scale
Replication of experiments for better performance
To analyze the RF interference and coordination
Low-level access of Testbeds is not repeatedly offered to alter devices operation

Further, our resource team is given the role of NS3 simulator in 5G communication developments. Generally, NS3 simulation is performed based on the IEEE standards such as IEEE 802.11-14 and IEEE 802.11ax. Also, it is assessed through the 3GPP standard protocol for examining the licensed and unlicensed spectrum.

By the by, the simulation duration differs in discrete depends on the event. Below, we have mentioned the other features supported in the NS3 module.

Once the event completes its execution, it automatically ends the simulation.
Simulation::Run() is the method used to run the single-thread program.
Schedulers are used to command the event to begin the simulation.
Only at a certain time period, the C++ method schedules the events to perform.
Enable developers to use C++ (central language) and python NS3 (supportive language) code for writing the program to perform simulation
Support in-built mmWave library to construct, test, and simulate 5G models. In some cases, it includes EPC for the purpose of policies, mobility, identity verification, etc.
The open-source network simulation tool used to model and virtualize both IP and Non-IP Networking systems

What is meant by Module in NS3?

NS3 is made up of huge-scale pre-defined libraries, classes, and modules to execute all sorts of simple and complex algorithms, protocol, and system design. Further, every module has the ability to extend through full backward compatibility. For example, ns–3 LTE module.

5G NS3 Simulation Steps

At first, we have to express the development scenario for simulation.
Then, code the program for reconstructing the network design of the required simulation scenario. And, this can be performed through the mmWave supportive module by means of the “ns3::mmwave helper” interface.
Next, denote the metrics used for configuring the network components involved in the simulation using ns3:: Configstore interface.
At last, configure the required outcome to implement the simulation process.

Next, our developers have specified the important performance metrics used to evaluate the behavior of the 5G network in NS3 simulation. Since performance assessment is the common phase to be executed in all kinds of NS3 5G Simulation.

Metrics for analyzing the simulation performance
- Average SINR Versus Number of Users
- SINR Versus User with Line of Sight Connection
- Bit Rate Versus Users with NLoS and Los Connections
- SINR Versus User with Non-Line of Sight Connection

During the recent study of 5G networks in the combination of the NS3 simulator, our resource team has found numerous characteristics which are intended to create a beneficial impact on research projects. For your reference, we have specified a few of them below.

Important Features in 5G NS3 Simulation

QoS based MAC Scheduling models
MIMO Channel Propagation Modeling
Radio Link Control (RLC) Model
5G-NR Protocol Stack and Architecture
Radio Resource Control (RRC) Protocol
Physical and Media Access Control models
Statistical Assumptions of Models
Packet Data Convergence Control (PDCP) Model
Analytical Antenna Model and Reconfiguration
5G-NR Adaptive Hybrid Automatic Repeat Request (HARR)

NS3 Modules for 5G Network Simulation

NS3 LTE Module is about the combo of the media access control and physical layers configuration. Also, it includes the add-on simulation outcomes at different configurations. In the futuristic 5G system, we have the special feature of dual-connectivity and capability to interact with NS3-LTE module and higher protocol for full-stack development, real-code execution, and end-to-end connectivity. For instance, it can assess the performance of customized mmWave and customized traffic congestion control.

For 5G networks, NYU WIRELESS is launched as the mmWave module to estimate the network behavior of cross-layered 5G mmWave. It is developed on the NS3 simulator using C++ protocols with the below significant characteristics:

It supports scalable testbeds for verifying various network models through the metrics of the MAC and PHY protocols.
It offers MIMO-based 3GPP standards (frequency band > 6GHz) and other extensive channel models. Further, it also includes a ray-tracing model to compute the path of radio waves.
It enhances the usability of the spectrum by importing intelligent network resource allocation techniques.
It facilitates to emulate of the essential network components when constructing network design and registering tunneling protocols.
It aids in analyzing the TCP activities in mmWave networks using full-stack end-to-end development.
It helps to emulate the mobility model for improving the handover (intra-RAT/ inter-RAT) through dual connectivity.

5G technologies can be incorporated in any field due to their fast data transmission at low-cost features. Here, we have listed out such research fields that bind with thesis on 5G technology. Most importantly, these supporting areas earn a high demand in the research community.

Last but not least, our research team is glad to present you latest research notion of 5G communication. Our research experts handpick these ideas after undergoing an in-depth study of recent research. Beyond this, we also ready to support you in other interesting areas.

Research Ideas In 5G Network Using NS3 Simulation

Game Theory-based Resource Distribution in Artificial Intelligence
Collaboration of 4G and 5G Networks in the Internet of Things
NORA Scheme for 5G Self-Interference Cancellation (SIC) System
Comparative Study of Different IoT Communication Protocols
Integration of 5G enabled Cognitive Radio Networks in IoT
Energy-Aware Communication Standards for Huge-scale Critical-IoT
Big Data Analytical Techniques for Critical IoT Applications
5G-Green Hybrid Satellite Terrestrial Communication System
Employment of SDN/NFV Techniques in 5G Network Slicing
5G enabled Joint Power Control in Multi-cell MIMO Networks
Effective Sensor Positioning and Synchronization in 5G enabled Dense IoT Network
5G based Non-ideal Fronthaul and MAC scheduling for Cloud-RAN System
Single/Multi-carrier MIMO Communication for Future Wireless Technologies
Enhancing the Mission-Critical IoT System Performance using Machine Learning

In general, we assure you that we will give end-to-end support in NS3 5G Simulation Projects/Thesis. Further, we also let you know the recent trends in 5G research with its future scope of the study.

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Research Topics	Project	Paper	Thesis
3D Underwater WSN	150	499	541
Hybrid Beamforming	110	398	432
Intelligent Agent WSN	135	412	510
Blockchain technology	121	467	496
Optical Networks	149	398	465
Vehicular sensor Network	250	491	534
Industrial IoT	114	378	431
Service Discovery	170	419	489
Named Data Networking	121	386	423
SDN-NDN	110	427	498
D2D Communication	131	389	425
M2M Communication	108	389	411
UWB communication	124	495	510
5G Network Slicing	137	437	492
Delay Tolerant Network	105	469	533
Multi-Microgrid	111	326	379
Content-centric network	100	296	304
5G Beyond networks	131	379	409
Cloud-RAN	127	352	389
Fog-RAN	145	310	378
FANET	178	395	400
Cognitive adhoc network	153	325	363
Vehicular NDN	175	310	425
Multimedia sensor network	205	275	315
V2X communication	151	200	308
Software-defined WSN	176	248	358
5G	201	289	365
Fibre Channel / Cellular / 5G topics	—	—	—
Cellular Networks	185	235	397
CRN	204	268	348
IoT	163	287	395
Intrusion Detection system	110	257	348
LiFi	101	279	386
LTE	159	208	345
MANET	175	247	395
MIMO	142	298	354
Mobile Computing	114	254	308
RPL	189	275	357
SDN	109	258	346
VANET	152	278	359
Vertical Handover	108	241	367
Wireless Body Area Network	121	198	348
Wireless Communication	178	248	371
Wireless Sensor Networks	106	213	369

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Interoperability B5G
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Network Structure
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Interference Management
Channel Characterization
Pilot Contamination
3D Channel Modeling
HD Video Streaming
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Carrier Aggregation
Channel Aggregation
Packet Scheduling
Scheduling Cell Resource
Uplink Synchronization
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QoS aware Routing
QoS aware Clustering
3D MANET Massive Users
4D MANET Massive Users
Interoperability to D2D
Interoperability Cloud
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MANET-IoT
Massive Channel Access
H&off Management
Video Traffic Scheduling
Secondary Users Routing
PUEA Detection
Spectrum & Power Allocation
Error Control & Fault Prediction
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Channel Scheduling
Channel Sensing
Relay Selection
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Coverage Improvement
Capacity Improvement
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scheduling
Content Dissemination
VSN
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Systems on a chip
Optical fibers
line switching
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