LTE Network Simulator [Performance Analysis]

LTE Network Simulator [Performance Analysis]

The term stands for Long-Term Evolution is an ever consistent field in the telecommunication world. It became into existence especially for the wireless broadband mobile services, and the data stations on the basis of the technologies, UMTS / HSPA and GSM / EDGE. In the world of telecommunication, it was impossible to provide a wireless communication.

Overview of LTE network

5G LTE Network Simulator is the communication technology has reformed as simulate in order to provide fast communication and data browsing for the people of fastest minds and people of busy scheduling works.

“This article is highly focuses on the recent use of the network, its future scope and the importance of the simulator. Through this article, we provide you every features of the simulator in research aspects and our experience and suggestion over the selected topic”

LTE simulator: Advantages

  • The simulator of the LTE has the ability to integrate the femto and macro cells, both in the multi-user and multi-cell situations
  • The primary duty of the 5G LTE Network Simulator is to induce speed and enabling high quality connectivity in all cellular devices because of its nature of 5G Simulation.

The above mentioned are the vital uses in the communication technology of LTE networks. In addition to that we are trying to implement the LTE network in various scenarios. Besides the uses, we provide you our important modules used for NS3 Network Simulator.

Functions of important modules in Network

  • Veins and SimuLTE

These are the important modules for the simulation. But in this process, we have to assimilate the Veins in to the SimuLTE, which will allow you to perform the simulation process in the vehicular / cellular network communication on the basis of 5G.

The above mentioned models are the important modules of the LTE network. Herewith we provide you the notable classes in the Simulator and its purposes as given below. Along with the modules, we provide you the important classes in 5G LTE Network Simulator.

Purposes of the notable classes in Network

  • PointToPointEpcHelper: it generates a topology for the EPC network that containing a single node alone which executes the functionality of SGW and PGW and an MME node.
  • LTECellInfo: it holds the cross layer information about the cell and, the LteCellInfo modules every single eNB in this process.

The above classes are majorly used as the suitable classes of 5G LTE network simulator. Our team is still trying to implement innovative tools to simulate the networks. Besides, here are the major programming languages of the LTE network.

Programing languages of Network simulator
  • OMNeT++ – c++ and network files
  • NS3 – c++

The above languages are essential, while us performing the simulation over the Simulator. These are the languages used for our research purpose. And still we are implementing new languages to evaluate the performance of the LTE Network Simulator. Here we provide you the supporting OS of the network simulator.

OS support of the 4G network
  • 4 GB (RAM)
  • 32-bit OS (OS)
  • Intel® Pentium(R) CPU G2030 @ 3.00GHz × 2  (Processor)

And the supporting OS are

  • Ubuntu -14.04
  • Windows -7 32 bit  

5G LTE network Simulator is to perform the process of the simulation, the operating system and the type of system, to simulate is more important. It is even more important than choosing the apt simulator by giving preference to the operating system as a source for simulation.

Version of 4G network simulation tools
  • NS3.26
  • OMNet++ 4.6

The above versions are the appropriate versions for the network simulation tools. Here we provided you the sample tools of us using for the research purpose. Apart from those, we have real time simulators for our own purpose. We are even ready to demonstrate it and here are the important protocols

Protocols in Network simulator

Medium Access Control (MAC)

It plots the local channels to change into the transport channels. It has a HARQ entity for the HARQ operations for both the process of transmitting and receiving the logical channels. The HARQ operation has the following entities,

  • Demultiplexing Entity
  • Multiplexing Entity
  • A Logical Channel Prioritization Entity
  • Random Access Control Entity
  • Controller

Air Interface Physical Layer

In order to offer the data in to the higher layer, this protocol interfaces the network’s physical layer. This high level service is provided by accessing the MAC layer as a support for the transport channel.

GPRS Tunneling Protocol User Plane (GTP-U)

It is a set of IP based communication protocol and the prime duty of this protocol is to transport the GPRS among the UTMS, LTE, GMS networks

Notable subjects used in 5G network

  • Signals and systems

In this subject, the key procedures of the signal level quality for the current 5G LTE network simulator is achieved by the signals RSRP and the systems RSPQ. The mentioned subjects are considered as an important one to perform simulation. Here are the result analysis of simulator.

  • Mobile cloud computing

In the mobile computing process, the mobile user accesses the cloud server with the help of LTE eNodeB or Wi-Fi entrée. In this process, the mobile users request the data from the UE and the request has been received by their local base station or router, and the data will be transmitted through wired internet connection or wireless network simulation to the respective cloud servers.

  • SDN

            With the help of the 5G LTE Network Simulator, we can perform communication in the SDN by sending the packets to the eNodeB and the UE through the gateway. The application server then forwards the packets to the cloud server via the gateway.

  • MANET based energy efficient

With the help of the typical modules of LTE network by dynamically adjusting, we can made the MANET based energy efficient.

  • V2X communication

With the help of V2X communication, we can achieve the communication among LTE Base station and RSU

Experimental study of simulator

  • Network capacity: it calculates the signal usage taken for an effective transmission and it is measured in the units of (bps/Hz) bits/second or hertz
  • RSSI: it calculates the existing power in the signal allotted for transmission. This metric is usually measures the power in dbm units
  • Packet drop –It calculates the data transmission process in packet dropping from the source to destination it measures the packet dropping in terms of number

The above mentioned result analytics are experimental analysis parameters, which we made for the research purpose. In addition to the parameters, we provide you the subject wise modules for 5G LTE Network Simulator.

Unlike the subjects’ importance in Network Simulator, the Syntax deserves more importance than that. Therefore, we provide you the main syntaxes for the networks. According to the various performance analytics of the 5G LTE Network Simulator, the syntax may change.

Performance Analysis of LTE Network Simulator

Major syntax in LTE simulator

module eNodeBBase

{

    parameters:

        @networkNode;

        @labels(node, ethernet-node, wireless-node);

        @display(“i=device/antennatower;bgb=1260,600”);

        @figure[applicationLayer](type=rectangle; pos=250,6; size=1000,130; lineColor=#808080; cornerRadius=5; fillColor=#ffff00; fillOpacity=0.1);

        @figure[applicationLayer.title](type=text; pos=1245,11; anchor=ne; text=”application layer”);

        @figure[transportLayer](type=rectangle; pos=250,156; size=1000,130; fillColor=#ff0000; lineColor=#808080; cornerRadius=5; fillOpacity=0.1);

        @figure[transportLayer.title](type=text; pos=1245,161; anchor=ne; text=”transport layer”);

        @figure[networkLayer](type=rectangle; pos=250,306; size=1000,130; fillColor=#00ff00; lineColor=#808080; cornerRadius=5; fillOpacity=0.1);

        @figure[networkLayer.title](type=text; pos=1245,311; anchor=ne; text=”network layer”);

        @figure[linkLayer](type=rectangle; pos=250,456; size=1000,130; fillColor=#0000ff; lineColor=#808080; cornerRadius=5; fillOpacity=0.1);

        @figure[linkLayer.title](type=text; pos=1245,461; anchor=ne; text=”link layer”);

        @figure[submodules];

        //# Node specs

        string nodeType = “ENODEB”;  // DO NOT CHANGE

        int macNodeId = default(0);  // TODO: this is not a real parameter

        int macCellId = default(0);  // TODO: this is not a real parameter

        double txPower @unit(mw) = default(100mw);

        string nicType = default(“LteNicEnb”);

        string interfaceName = default(“cellular”);

        //# Network Layer specs

        bool hasIpv4 = default(true);

        bool hasIpv6 = default(false);

        *.interfaceTableModule = default(absPath(“.interfaceTable”));

        *.routingTableModule = default(“^.ipv4.routingTable”);

        *.forwarding = true;

        *.multicastForwarding = false;

        //# Apps

        int numApps = default(0);     // no of apps.

        int numX2Apps = default(0);   // no of X2 apps. Specify the app types in INI file with x2App[0..1].typename=”X2AppClient” syntax

        //# Transport layer

        bool hasUdp = true;

        bool hasTcp = default(firstAvailableOrEmpty(“Tcp”, “TcpLwip”, “TcpNsc”) != “”);

        bool hasSctp = true;

    gates:

        inout ppp;                // connection to the Core Network

        input radioIn @directIn;  // connection to the radio interface

        inout x2[];               // connection to the X2 interface

    submodules:

        interfaceTable: InterfaceTable {

            parameters:

                        @display(“p=110.43,158.4875;is=s”);

        }

        mobility: StationaryMobility {

            parameters:

                        @display(“p=110.43,343.56;is=s”);

        }

        cellInfo: LteCellInfo {

            parameters:

                        @display(“p=110.43,244.3775;is=s”);

        }

        //#

        //# lteNic modules

        //#

        lteNic: <nicType> like ILteNic {

            parameters:

                @display(“p=433.54,520.4525”);

                        nodeType = nodeType;      

        }

        pppIf: PppInterface {

            parameters:

                        @display(“p=963.195,520.4525”);

        }

        x2ppp[sizeof(x2)]: PppInterface {

            parameters:

                        @display(“p=1063.4,520.4525”);

        }

        //# Network layer module

        ipv4: <default(“Ipv4NetworkLayer”)> like INetworkLayer if hasIpv4 {

            parameters:

                @display(“p=375,376;q=queue”);

        }

        ipv6: <default(“Ipv6NetworkLayer”)> like INetworkLayer if hasIpv6 {

            parameters:

                @display(“p=525,376;q=queue”);

        }

        //#

        //# Transport layer modules and corresponding application modules

        //#

                        // =============== Udp ============== //

        app[numApps]: <> like IApp {

            parameters:

                        @display(“p=375,76,row,140”);

        }

        udp: Udp {

            parameters:

                        @display(“p=682.0075,212.68001”);

        }

        tcp: Tcp if hasTcp {

            parameters:

                        @display(“p=963.195,212.68001”);

        }

                // =============== X2AP ============== //

        x2App[numX2Apps]: LteX2App {

            parameters:

                        @display(“p=539.88,47.035,row”);

        }

        sctp: Sctp {

            parameters:

                        @display(“p=421.27002,212.68001”);

        }

                // message dispatcher for SAP between application and transport layer

        at: MessageDispatcher {

            parameters:

                @display(“p=750,146;b=1000,5,,,,1”);

        }

        // message dispatcher for SAP between transport and network layer

        tn: MessageDispatcher {

            parameters:

                @display(“p=750,296;b=1000,5,,,,1”);

        }

        // message dispatcher for SAP to link layer

        nl: MessageDispatcher {

            parameters:

                @display(“p=750,446;b=1000,5,,,,1”);

        }

    connections allowunconnected:

        //#

        //# LTE stack to PHY and network layer

        //#       

        lteNic.radioIn <– radioIn;

        //#

        //# Ppp interface to network layer connections

        //#   

        pppIf.phys <–> ppp;

        pppIf.upperLayerOut –> nl.in++;

        pppIf.upperLayerIn <– nl.out++;

        //#

        //# X2 interface to network layer connections

        //#   

        for i=0..sizeof(x2)-1 {

            x2ppp[i].phys <–> x2[i];

            x2ppp[i].upperLayerOut –> tn.in++;

            x2ppp[i].upperLayerIn <– tn.out++;

        }

                        //#

                        //# Apps to transport layer connections

                        //#

        for i=0..numApps-1 {

            app[i].socketOut –> at.in++;

            app[i].socketIn <– at.out++;

        }

        at.out++ –> udp.appIn if hasUdp;

        at.in++ <– udp.appOut if hasUdp;

        at.out++ –> tcp.appIn if hasTcp;

        at.in++ <– tcp.appOut if hasTcp;

        at.out++ –> sctp.appIn if hasSctp;

        at.in++ <– sctp.appOut if hasSctp;

        //#

        //# Transport layer to network layer connections

        //#

        udp.ipOut –> tn.in++ if hasUdp;

        udp.ipIn <– tn.out++ if hasUdp;

        tcp.ipOut –> tn.in++ if hasTcp;

        tcp.ipIn <– tn.out++ if hasTcp;

        sctp.ipOut –> tn.in++ if hasSctp;

        tn.out++ –> sctp.ipIn if hasSctp;

        ipv4.ifIn <– nl.out++ if hasIpv4;

        ipv4.ifOut –> nl.in++ if hasIpv4;

        ipv4.transportIn <– tn.out++ if hasIpv4;

        ipv4.transportOut –> tn.in++ if hasIpv4;

        ipv6.ifIn <– nl.out++ if hasIpv6;

        ipv6.ifOut –> nl.in++ if hasIpv6;

        ipv6.transportIn <– tn.out++ if hasIpv6;

        ipv6.transportOut –> tn.in++ if hasIpv6;

        tn.out++ –> nl.in++;

        tn.in++ <– nl.out++;

        at.out++ –> tn.in++;

        at.in++ <– tn.out++;

        lteNic.upperLayerIn <– nl.out++;

        lteNic.upperLayerOut –> nl.in++;

}

This syntax is majorly structured to perform the configuration process for eNodeB. As discussed earlier, the syntaxes will vary according to its applications. Further, we shall discuss the applications used with the 5G LTE Network Simulator.

Remarkable applications for LTE simulator

  • System and applications based on smartphone

To the best of our knowledge, we approach a new technique that controls the 4G network for vehicle-to-infrastructure communications. Rather than an on-board units communication interface, we can perform this case by replacing the interface with economical device like smartphones to detect the interface among the smart phone and the vehicle navigation.

  • Secure data transmission

LTE network enables the process of encrypted data transmission in a hash based security.

  • Mobile radio applications

In this application, the LTE is considered to be the leading in the public commercial radio and in the broadband data connection. In cellular apps, it enables the facility of push-to-talk, HQ video streaming and mapping etc.

These three are our real-time applications in 5G LTE Network Simulator that has wide range of use. Our engineering team is on their effort in discovering innovative applications for the real time. Besides the applications, we provide you the important algorithms in network simulator.

Notable algorithms of LTE network

  • Successive convex approximation algorithm

In results in this algorithm will get on the basis of the location of subchannel allotted in an unlicensed band. In this process, the local optimal power assigns the unauthorized spectrum and it is obtained by using this SCA algorithm

  • Research allocation based Ant colony optimization

It is purposed to serve V2V and D2D communication when a LTE networks is presented. This algorithm is mainly implemented to fix the optimization issues by its MetaHeuristic methods and to increase the sum rate of the system’s QoS requirements

  • M2MA-SA

It is a typical scheduling algorithm planned in the knowledge of this solution in order to generate algorithm that differentiates among the M2M and H2H services.

Apart from the above applications, we are discovering some real-time applications in the LTE networking on the basic needs of the users. In addition to the applications, let’s have a look on the implementing areas of the network simulator

 Research areas in LTE networking

  • 4G user calling 3G/2G user via CSFB: By using the GSM, or any other circuit-switched network we can get the SMS and other voice call service, as the process is entirely based on the CSFB (Circuit Switched Fallback)
  • VoLTE Calls using IMS: It enables the process of video transmission among the UE nodes

In the above major areas we can perform the research. And the research approach in the respective area will prove the best in the result outcomes. Here we provide you the major processes in the LTE networking.

Project Ideas in LTE Network

Quality of Service Class Identifier

The radio resource allocation algorithm for the LTE downlink process will be like the source will send the no. of packet to the download scheduler by using the RLC queue. And the Downlink scheduler functions on the MAC layer by using the queues of HARQ, RRC, and RLC. The Downlink scheduler then allocated the packets to AMC, RB allocation, Antenna Mapping in the Physical layer of the network. Apart from the QSCI, Let’s take a look on the major steps involved in packet transmission in the LTE networks.

Major steps in LTE

The entire frame of the LTE link level simulator is as applied in the Vienna LTE link level simulator. These types of simulator have the transmitter blocks in two or more, and generate channel modeling, for receiver blocks of each links. In this case, the feedback channel is executed as delay free and a channel of error-free.

In this 5G LTE Network Simulator process, the PDP channel uses the channel mode to connect the TX and RX by the signaling process. Then get the CSI feedbacks to assesses LTE performance by handling the Coded/Uncoded BER, block error rate and throughput.

Routing in LTE simulator

  • Cluster Based Routing Protocol
  • Associativity-based routing protocol

The above protocols are our sample protocols using for the research purpose. In addition to the exceeding protocols, we suggest you some of the project titles in network simulator. As listed below.

Trending Project Topics in network simulator

  • We can help you in doing projects on the attack detection and packet transmission process in selected routing with the help of 5G LTE Network Simulator
  • We can help you in doing projects on sensed packet transmission process on the basis of relay with the help of 5G network Simulator
  • We can help you in doing projects on sensed packet transmission process on the basis of relay with the help of Simulator
  • We can help you in doing projects on IoT sensed sensor packet transmission process with the help of 5G LTE Simulator

According to the users’ need, the networking reborn day by day. According to your needs, our service is getting better day by day, according to the current needs of the scholars/academicians; their thirst for innovative topic makes our technical team to be thriving on finding new subdomains for researching. We still collaborating the various networks to enable the networking to get its advantages high and getting its acquaintance with the people even closer. By this way, 5G LTE Network Simulator extend our support and guidance over all types of project service, assignment and homework help. In order to get a good experience in your subject or research, don’t miss this opportunity to work with us!!

Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
COOJA SIMULATOR 35 67 28
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
GLOMOSIM 6 10 6
RTOOL 13 15 8
KATHARA SHADOW 9 8 9
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
NETMIRAGE 7 11 7
BOSON NETSIM 6 8 9
VIRL 9 9 8
CISCO PACKET TRACER 7 7 10
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
PETRI NET 4 6 4
ONESIM 5 10 5
OPTISYSTEM 32 64 24
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
OPENPANA 8 9 9
SECURE CRT 7 8 7
EXTENDSIM 6 7 5
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
MARIONNET 5 7 9
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9
PTOLEMY 7 8 4

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