System Level Simulation of LTE Networks is the term shortly called as SLS which highlighting the function of simulation in the system and the System Level Simulation denoted the simulation occurs only in the wired or wireless system, and not any other networking devices. It generates the simulation on the base of the downlink channel MIMO and the LTE channel SISO with the help of Open Loop Spatial Multiplexing and transmitting the data or packets by the separated transmitted modes.

“Through this article, we focus on the purpose of the system level simulation in LTE networks of 3GPP TS 36.xxx standards. You can utilize this article to know about the various simulation components implemented in the System Level Simulation LTE and we share our experience in choosing the research domain clearly and appropriately!!”

Advantages of System Level Simulation of LTE Networks

 The major advantage of the System Level Simulation LTE lies in its supporting characteristics of,

  • Frequency reuse techniques
  • User mobility
  • Multi-cell environments
  • Managing QoS
  • Multi users environment
  • Handover procedures

Generally, the uplink flow applications of the LTE simulation enhance the feature even more to support the interference, scheduling and cell planning. This is also the impressive uses of the System Level Simulation of LTE network.

Purpose of LTE network modules

The module LTE is one of the best simulation modules for LTE networking and acts well in the process of decision making and forward the packets through the sign hierarchy method.

Apart from the LTE, we are on our effort to introduce innovative modules to substitute the LTE functions in order to ease the researching process. Here are the classes of LTE networks as follows.

Notable System Level Simulation of LTE network classes

  • MultihopD2D: used in the process of multicast communication
  • VoipPacketSerializer: used for the purpose of alteration among the binary and VoipPacket.

The above mentioned classes are the important classes of SLS of LTE network we are using these classes as a sample for the research purpose. In addition to the LTE networking classes, we provide you the programming languages to implement the simulation in LTE networks.

Top 6 Advantages of System Level Simulation of LTE Networks
SLs Emulator for Simulation in LTE Networks

System Level Simulation LTE network Programming languages

  • OMNet++ – network files, C++
  • NS3 – C++

There are many programming languages available to perform the LTE System Level Simulation. But the given languages are the most appropriate languages to perform the relevant simulation. In addition to the programming languages, we provide you the OS for LTE simulation.

Supporting OS of LTE simulation

  • 64-bit Operating System (System Type)
  • 8 GB (RAM)
  • Intel Core i5-9400F (Processor)

And the OS are

  • Contiki-2.7
  • Ubuntu-14.04
  • Windows-7 64 bit

Though many types of OS available in the market, the mentioned OS are the finest ones we are running for simulation for the research purpose and these are the appropriate operating system types for simulation. In addition to the OS, we provide you the LTE tools and also Python LTE Simulation versions.

Notable SLS LTE tools versions

  • Cooja
  • OMNet++ – 5.1
  • NS-3.31

These are our sample tools version to implement System Level Simulation in LTE networks. Apart from the above tools, we have numerous tools for both research and real time experimental purpose. In addition to the above mentioned tools, we provide you our best protocols for System Level Simulation of LTE.

Prominent System Level Simulation LTE protocols

  • Carrier aggregation

It imitates both the PHY and MAC layer that process the component carrier consists of 2 HARQ elements in the physical layer, a MUX as a control element in the MAC layer and 3 RLC as radio bearers in the RLC layer.

  • Multimedia Broadcast/Multicast Service (MBMS)

It is mainly used in the 3GPP cellular networks and it is a point-to-multipoint interface description and vice versa. It is structured to provide the effective broadcast and multicast services either within a cell or core network.

Subjects used in System Level Simulation of LTE network

  • IoV

The main function of this subject is to integrate the multiple internet access and its technologies to associate the on-road vehicles. To enable this operation the LTE is needed to conduct effective data transmission, critical thinking to select routing etc.

  • Optical network

The structure of the fiber optic network is considered to be the pillar of a LTE network and in order to make a simulation; the spreading network utilizes the GPON technology.

The mentioned subjects are the important subjects of a typical LTE simulation.  In addition to the above subjects, we provide you the result analysis done by our various performance metrics and parameters as following.

Empirical study of SLS in LTE networks

  • Reachability: it calculates the capacity of nodes to transmit the packet to the destination in a shortest space, and the unit is measured in Kilometer (km), Meter (m).
  • Speed: it calculates the speed taken by the network to transfer the data through the communication channel. It is measured in the Bits per second (bps) units
  • Time: it calculates the time consumed for the process of simulation. This simulation time measured in the units of ‘seconds’ (sec /s).

The above parameters are used to analyze the performance of the LTE network and produce the results on each simulation. In addition to the exceeding parameters, we provide you the subject wide modules below.

System Level Simulation of LTE subject wise modules

In order to perform the system level simulation over the LTE network, The LTE itself measured as the most appropriate module by the team of our research developers. Following the modules, we provide you the major syntax used in the System Level Simulation of LTE Networks.

Major System Level Simulation of LTE syntax

void

LteFrStrictAlgorithm::Reconfigure ()

{

  NS_LOG_FUNCTION (this);

  if (m_frCellTypeId != 0)

    {

      SetDownlinkConfiguration (m_frCellTypeId, m_dlBandwidth);

      SetUplinkConfiguration (m_frCellTypeId, m_ulBandwidth);

    }

  InitializeDownlinkRbgMaps ();

  InitializeUplinkRbgMaps ();

  m_needReconfiguration = false;

}

void

LteFrStrictAlgorithm::SetDownlinkConfiguration (uint16_t cellId, uint8_t bandwidth)

{

  NS_LOG_FUNCTION (this);

  for (uint16_t i = 0; i < NUM_DOWNLINK_CONFS; ++i)

    {

      if ((g_frStrictDownlinkDefaultConfiguration[i].cellId == cellId)

          && g_frStrictDownlinkDefaultConfiguration[i].dlBandwidth == m_dlBandwidth)

        {

          m_dlCommonSubBandwidth = g_frStrictDownlinkDefaultConfiguration[i].dlCommonSubBandwidth;

          m_dlEgdeSubBandOffset = g_frStrictDownlinkDefaultConfiguration[i].dlEgdeSubBandOffset;

          m_dlEdgeSubBandwidth = g_frStrictDownlinkDefaultConfiguration[i].dlEdgeSubBandwidth;

        }

    }

}

void

LteFrStrictAlgorithm::SetUplinkConfiguration (uint16_t cellId, uint8_t bandwidth)

{

  NS_LOG_FUNCTION (this);

  for (uint16_t i = 0; i < NUM_UPLINK_CONFS; ++i)

    {

      if ((g_frStrictUplinkDefaultConfiguration[i].cellId == cellId)

          && g_frStrictUplinkDefaultConfiguration[i].ulBandwidth == m_ulBandwidth)

        {

          m_ulCommonSubBandwidth = g_frStrictUplinkDefaultConfiguration[i].ulCommonSubBandwidth;

          m_ulEgdeSubBandOffset = g_frStrictUplinkDefaultConfiguration[i].ulEgdeSubBandOffset;

          m_ulEdgeSubBandwidth = g_frStrictUplinkDefaultConfiguration[i].ulEdgeSubBandwidth;

        }

    }

}

As we discussed earlier, the applications of the programming languages and the simulators may vary according to our implementing networks. Similar to that, syntaxes may vary according to the operations.  For instance, we provide you the syntax for the process of LTE FrStrict Algorithm. In addition to the syntax, let’s take a look on the application used in the System Level Simulation of LTE networks.

Significant System Level Simulation LTE network applications

  • Optical communication

In this application, the network uses LTE-A in a multiplied and doubled MIMO front haul optical system, which estimates the backscattering interface with the help of spatial multiplexing, which involves the inter core and backscattering interference.

  • D2D communication

This application is used for the direct communication without interrupting the LTE interface. Here, the LTE network controls the allocation of radio resource and secured connectivity.

  • Cellular communication applications

These applications are typically for the mobile phones to enable the wireless communication. In fact, a mobile phone is merely a bidirectional radio performs both the functions of transmitting and receiving. In a cellular network, each cell is allocated with different frequencies to enable the conversations for millions of customers.

These are the important real-time application of the LTE network. With the help of the LTE network, we can generate many innovative applications in various networks of 5G Thesis. Besides the applications, we give you the detailed description of the SLS LTE algorithm.

Important SLS LTE network algorithm

  • Max CQI

The Max CQI algorithm is typically a scheduler that chooses the skilled CQI on the basis of UE. It produces this function to induce the number of whole cell throughput. The drawback of this approach is running out of throughput by stopping the scheduling the reduced CQI level, which makes the user experience worse.

  • Round Robin

As we discussed the previous algorithm, the Round Robin is also a kind of scheduler that allots the resource blocks in a time sequel without missing the systematic placements and concerns the various UE experience scenario.

  • Max Rate

This algorithm is generally a scheduler, which affords increased ability and throughput than any algorithms and it doesn’t schedule the UE which enables the channel fading. It enables the process of scheduling at a chance, where there is an interface of maximum signal from the UE.

The exceeding lists of algorithms are used by our test beds to obtain effective results of the simulation. These algorithms are flexible to test in every network performance scenario. Along with the algorithms, we provide you the major processes in the SLS LTE network

Latest areas in system level simulation of LTE networks

We can perform the research in the following Area

  • Vehicular networks
  • Internet of Things (IoT)

Important system level simulation LTE network process

The function of protocol stack structure of the data plane in user equipment is important in the process of LTE radio protocol. It generally involves both the transmission and receiving takes place in the LTE user equipment NetDevice, which includes the other LTE user equipment layers of the NetDevice as

  • Physical layer
  • MAC layer
  • RLC layer
  • PDCP layer
  • RRC layer

The above layers are useful in transmitting the request and response of the user equipment in order to get the network service at the expected speed. Along with the involving process of system level simulation LTE network, let’s take a look on the steps involved in the system level simulation of LTE networks

Significant system level simulation LTE network steps

The overall function of the LTE-EPC simulation model includes the user equipment from various locations that transmit the radio link in the form of X2 interface to the regional eNodeB, which provides the point-to-point links to the Mobility Management Entity (MME) and requesting the data service to the cloud internet via S/P gateway. Finally, the cloud internet provides service to the remote hosts via any link.

Our best system level simulation LTE network routing protocols

  • SHARP (Sharp Hybrid Adaptive Routing Protocol): Generally any protocol transmits the data within its proactive zone but this type of protocol helps by adjusting the reactive node to transmit the data beyond its proactive zone by using the reactive routing mechanism.
  • NAMP (Neighbor-Aware Multicast Routing Protocol): it is a hybrid protocol based on tree topology in order to reduce the end-to-end delay packets. It is able to create a multicast tree by using the neighborhood data to face the down pouring request packets from the source node. 

The above mentioned protocols are our best ones, which we are using for our research purpose. Other than the mentioned protocols, we are willing even to display you our experimental protocols. Now we reached the core part of this article, providing innovative research ideas in system level simulation of LTE.

Groundbreaking Research Titles

  • We help you in making projects on the sensed data transfer process in selected routing with the help of System Level Simulation of LTE networks.
  • We help you in making projects on the route selection and packet transmission process with the help of System Level Simulation of LTE networks.

The above project titles are the research issues as identified by our team of project developers. As a matter of fact, they are skilled in knowing the expectation of the academicians and the education board’s level of expectation over a dissertation/thesis/project. Along with the system level of simulation over LTE network, we extend our guidance and support over the system level simulation of other wired and wireless networks such as vehicular network, mobile network, 5G network, and underwater sensor network Localization etc. you can approach us any time and at any level of your project as we are providing 24/7 customer service. So last but not least, grab this opportunity to work with us!!