Vertical handover is the process of migrating/moving the users from the current networks to the target networks. This concept addresses the mobility issue. Nowadays, vertical handover/handoff (VHO) has reached a high level of popularity in 4G wireless networking technologies.
In specific, the VHO among UMTS (WCDMA) and WLAN have earned extensive attraction among active research scholars. The reasons behind this high demand are better mobility, low cost (WLAN), high coverage (UMTS), and greater bandwidth UMTS (WCDMA). For instance: On using media-independent HO (802.21), one can accomplish the Wi-Max-based VHO between wireless and wired access technologies.
Here, we have given you the basic requirements of the WiMAX-based VHO process for execution.
One of the biggest challenges of the cellular network is achieving efficient HO control due to the small cells which allow usage of high capacity and coverage in geo-based locations. Similarly, it has other challenges that gain large attraction from the researcher’s perspective. And, some of them are given below. Our technical professionals are expertise in handling not only these issues but also other upcoming issues. So, we support you through optimal research solutions to solve any kind of complex problems in NS3 vertical handover.
Basically, there are many ways to develop using ns3 vertical handover model like analytical modeling, simulation, physical testbeds, and real-world implementation. Currently, everybody prefers the simulation approach which offers a sophisticated environment to create realistic network virtualization. For VHO simulation, the network simulator has furnished with below specified important characteristics.
In particular, we prefer Network simulator NS3 vertical handover projects. Since, it is well-suited for designing, developing, testing, and simulating the vertical handover by doing small modifications in code. Also, there are no independent tools for vertical handover but NS3 provides maximum opportunities to take efficient handover decisions. Most importantly, NS3 is the extended version of the NS2 simulator which overcomes its major issues. And, some of the improved aspects of the NS3 are given below,
Primarily, there are two ways to implement NS3 Vertical Handover. On the other hand, it can be applied as a manual process. On the other hand, it can be applied as an automated process. Most probably, many of the scholars choose an automated process for their vertical handover project. Our experts give the best guidance in both approaches to fulfill your project requirements effectively.
Next, we can see the simulation procedure for the vertical handover process in the NS3 tool. Here, we have classified the whole process based on key operations of handover. These steps are general for developing a basic VHO model and further, it may vary based on the individual application needs. We support you in every aspect of VHO processes like VHO technique selection, optimal network selection, handover decision-making, and handover execution and performance evaluation.
Further, our developers have given you the list of fundamental header files used for vertical handover development in the NS3 tool. These header files comprise a huge collection of libraries and classes to meet the functional requirements of the handover process. Further, there are more modules designed to support specific networks and access technologies. Our developers are adept to handle and incorporate the necessary header files and libraries based on handpicked network technologies for handover.
From the above list of header files, we have selected “NS3/LTE-module.h” as an example. Now, we can see in what way the LTE module works in vertical handover simulation. Here, we have highlighted the essential properties of the 3GPP LTE which support vertical handover. Similarly, we support other modules intending to achieve optimized handover.
As a matter of fact, the handover algorithm takes effective automated decisions for efficient handover in source eNodeB. It enables communication of eNodeB RRC instances through the HO-SAP interface. Further, we have given you the 2 significant elements that improve the behavior of the HVA. And, our developers are smart to tackle the complexity of HOA through advanced technologies. Two attributes can be set to tune the algorithm behavior:
Generally, the above-specified attributes are represented in the RSRQ value. This value ranges from 0 to 34 (positive integer) where the lowest RSRQ value is 0. Further, our developers have also given the procedure to calculate the RSRQ value. It also includes the network selection procedure based on the RSRQ value. Let’s have a look over the below steps,
In addition, we have also included the primitives required for the X2-based handover function for your awareness.
The above-specified primitives have a key player role in the current RRC model for designing, developing, and executing HO algorithms. Also, it is more useful in customizing code not only for communicating with the RRC model but also for adjusting the RRC state machine. Here, we have given you the major functions used for the execution of the handover algorithm in implementing ns3 vertical handover research projects. Also, it includes the procedure of handover in 3 different phases starting from user measurement configuration to handover algorithm trigger.
Before simulating the vertical handover scenario, we need to follow the below steps in NS3:
Next, follow the below approaches to examine the behavior of the modeled system:
Generally, the parameters are used to evaluate the performance of the system. In fact, these parameters are not only used for performance evaluation but also for performance improvement in the designing phase. Based on the parameter value selection, we can enhance the performance of the handover process. This is achieved by following the below procedure using NS3simulator.
Next, we can see the current emerging technologies of vertical handover. Our research and development teams are currently working on many types of research in the following technologies to support you in every aspect.
For any technology, we need to assess the performance of the system in vertical handover simulation. So, here we have given you the list of parameters used for the configuration phase. Further, we also support you in enhancing the efficiency of the system based on your project requirements.
In cellular networks (4G and 5G beyond), the best algorithm for selecting a network is Multiple Attribute Decision Making (MADM). Actually, it is composed of several techniques. For illustration purposes, now we have selected VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique. It is one of the best techniques in MADM for network selection. For your information, now we can see the development of NS3 vertical handover with their simulation parameters.
On the whole, we support you in every aspect of NS3 vertical handover development and simulation. Further, we also provide you up-to-date research topics to match your research expectation. And also, we encourage our handhold scholars to bring their ideas to support their requirements. So, if you are looking for the best guidance for your research journey then approach us. We assure you that we fulfil your needs with a high-quality experimental outcome.
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 |