Cellular Network Simulation

What is meant by Cellular Network?  The type of cellular network consists of a fixed location transceiver called a base station that communicates via radio technologies. Simulators play a significant role in any research project. We are supporting research in cellular network simulation projects. If you are planning to do tasks in cellular networks and also looking for experienced, knowledgeable online guidance for your cellular networks simulation-based projects, then you are totally at the precise one-stop solution to your search. 

Overview of Cellular Network 

The following features are available on cellular networks,

  • The closer the cell towers are to the device, the less power it uses.
    • Cellular antennas can be built endlessly and therefore are not restricted by the horizons, resulting in larger network coverage than a solitary land broadcaster.
  • A single large transmitter cannot transmit as many links as possible at the same time if they are located in the same cell.

For instance, LTE modeling addresses the demands of the whole cellular industry, covering core network and production schedules, protocol and parameter tuning, and QoS enhancements. The LTE simulation tool would provide a high-fidelity end-to-end networking simulation of the multiple protocol suite on the wireless medium (E-UTRA) and base station (EPC). We guide you to implement ns3 wireless network simulation projects. In this view consider the following aspects of a cellular networks simulation,

  • LTE Nodes 
    • HSS
    • eNode
    • EIR,
    • MME
    • SGW
    • OFCS
    • PGW
    • OCS
    • PCRF and AS
  • LTE Traffic Generation 

The following techniques are used to inflammatory properties packet (data stream) traffic employing map data packet load domain controller,

  • Supplementary Services
  • Text messages, MMS, emails, and FTP
  • Videos, voices, and faxes
  • Contexts for multiple PDPs
  • Connectivity to the Internet 

Cellular Network Simulation Using 5G

5G is being implemented on a large scale around the world. We discuss the cellular network that is used in 5G computing to evaluate the algorithms and applications in the following,

  • The simulation of cellular networks utilizing 5G interfaces can incorporate, for example, Non-Orthogonal Multiple Access (NOMA), millimeter-wave (mmWave) transmission, and massive multiple-input multiple-output (MIMO) architectures
  • Various performance metrics can be calculated in 5G wireless cellular networks, like achievable downlink and uplink data rates, bit error rates, users’ numbers, outage probabilities, delays, handover rates, latency, etc. 

How does 5G cellular works?

Depending on traffic and channel requirements, network structure should change. A non-proprietary channel model incorporating D2D communication and intermediate relays in addition to BS-MS links. The use of V2X communications must be encouraged.

Techniques for adaptive RRM in 5G technology supports in heterogeneous networks. Methods for data rate maximization using MU-Massive MIMO wideband. Reusing, flexibility, and adaptability are all important factors. 

5G Cellular Network Simulation

Compared to conventional RRM techniques, 5G RRM differs since the allocation of resources is not confined to a single node. They must handle different variables when going through joint optimization, a particularly complex undertaking.

The simulator should incorporate all possible wireless channel links at the physical layer. 5G networks involve nodes being added dynamically according to traffic conditions and overall bit rate as opposed to 3G/4G systems with predefined configurations. The MS with increased channel gain may act as intermediary relays to cache content for requested QoS.

  • One factor contributing to the functional split of the network relates to the fronthaul capacity of different links.
  • Handover management to preserve QoS during network switching is necessary to coexist 4G/5G networks in a similar geographic area.
  • For user separation and adequate quality of service on all MSs, appropriate beamforming techniques are required.
  • To reduce post-processing complexity, beamforming algorithms should also be computationally proficient.
  • Hundreds of sites and a rising amount of MSs each servicing node are possible in 5G technology.
  • The use of parallel giving out involving several cores, hardware speeding up via graphics processing unit, and circulated computing through cloud computing are therefore recommended to shorten the simulation time without sacrificing accuracy.
  • This would allow the scientific community to test all developed features with code designed for 5G simulators to be re-used in different computational environments.
  • Scalability and elasticity are also necessary so that a single simulator can accommodate numerous scenarios and technologies.

Since we have been in cellular network simulation projects for more than ten years, we are very well experienced knowledgeable in handling these issues. Usually, anticipation is given extreme priority by our technical experts. As a result, we pay more concentration to learning emerging cyber-attacks and the ways of preventing them. So now, let us look into emerging cyber security threats. 

Important Parameters of Cellular Network Simulation

Channel Modelling in Wireless Cellular Networks 

Clustered channel modeling for wireless communications systems using MIMO (multiple input multiple outputs). There are mainly two-channel descriptions in the literature that fit into the above structure:

  • Broadcasting Application
    • A LTE-based broadcast is performed during the simulation process by utilizing the single-frequency network (SFN) transmit mode, which is a piece of the 3GPP standard for Multimedia Broadcast Multicast Service (eMBMS).
  • Deterministic ones
    • These characteristics are determined using simulation platform and very well cumulative distribution functions, and also statistical assessments of measurements data gathered over extended measuring campaigns.
  • Stochastic models
    • Ray-tracing algorithms are utilized to calculate the delay and other parameters associated with these networks using physical data.
  • Congestion-Adaptive Data Collection Application 
    • Simulating the cellular network under the guarantee of accuracy can be practical to resolve congestion efficiently.
    • Adaptive lossy compression and distributed data estimation ensure a given error bound in a congestion-adaptive data collection (CADC) scheme.
  • Identity and Privacy Management Application
    • To give users complete control over their identity data in an efficient and privacy-friendly manner, a framework for managing identity and privacy on mobile devices has been specified with a process, protocols, and user interface.
    • Introducing GSM mobile communications networks brought about changes in identity management infrastructures.

Talk to our technical team and gather their experience in using various simulation tools, their parameters, and the valuation results that we obtained as output. This can be a considerable resource of reference and consideration for your research. Now let us have a brief look into the different research topics in cellular network simulation that have probable for future research.

Cellular Network Simulation Parameters

  • Scenarios choice
  • Propagation loss assignments and MS position
  • Chosen network parameters
  • Desired capacity per MS
  • Modulated channel access
  • Computational complexity matrix task
  • Optimal SINR computation

Cellular network simulation parameters are separated into two types as Downlink and Uplink.

  • In Cellular network simulation, frequencies are the same in Downlink and Uplink. That is 1800 MHz
  • Bandwidth is the same in Downlink and Uplink. That is 5 MHz
  • Propagation Model name is: Cost-Hata
  • Frequency reuse value is 1 in both (that is Downlink and uplink)
  • The frequency range in DL is 1710 MHz – 1785 MHz and UL is 1805 MHz – 1880 MHz.
  • MIMO Configurations DL and UL are 2*2 MIMO
  • TX power level from DL is 43dBm and UL is 23 dBm
  • Rx antenna has been designed with DL is 18 dBi
  • DL body loss is 2 dB
  • Noise figure compression point 7db at DL and 2db at UL 

Simulation steps for cellular network 

We can use the PROTOCOL BETWEEN Web address – LAYER AND TCP to develop an example mobile network simulator for transmitting data.

  • To build the network, we create 100 mobile nodes and 1 base station node.
  • Execute TCP-based connection between the devices at first.
  • Then, depending on the sequence number, perform the Invitation and ACK communication process.
  • After that, check the ACK to see if there are any similar ACL values.
  • Next, take note of network problems and re-transmit using the desired procedure.
  • In, at last, we design the outcomes chart for pack up release Ratio, End-to-End Delay and Throughput

There is only very little truthful research assistance for cellular network simulation projects all across the world. We are one of them, with technological teams of greatly skilled and knowledgeable researchers to assist you with your study. Our brand name is built on the confidence of our clients all around the world. As a result, you can confidently start on your research work with us and join our list of satisfied customers.


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