Cloud Radio Access Network Projects connects with all the end devices with the aid of communication technology. C-RAN is Cloud Radio Access Network that stands for central access, especially in cellular data sharing. To be sure, the baseband unit is a vital part that associates remote radio head (RRH). Here the pool of baseband units acts like a cloud that is able to store and perform operations.
Further, this central system has three types, such as 1. Fully centralized, 2. Partially centralized, and 3. Hybrid. The first type functions with layer 1, layer two, and layer 3. On the other hand, the second type deals with layer two and layer 3. So that the mobile network LTE, as well as 5G, embeds into Cloud Radio Access Network Projects.
The C-RAN design enables to manage any number of base stations for mobile networks by using the idea of network function virtualization. Therefore this idea is a success since it reduces cost and allows many types of traffic into the network. At this time, you need to know all about the areas in C-RAN.
In recent days, C-RAN combines with Software Defined Network cloud computing, the Internet of things, and Network slicing too. Whatever network it integrates with, the main issue of resource allocation exists. In this way, it presents to manage mobility, bandwidth, delay, and also data rate. In order to achieve anyone of this, a set of the process will be the solution. To make it clear, we give you a set of topics down.
Later the performance of the cloud radio access network design has to show off its efficiency. With this in mind, we list out a top ten metric here below.
In conclusion, we hope you have gained a clear idea in Cognitive Radio Projects. Even more, concepts are in the study by our team. In other words, we are flexible with the trend of AI, ML, and so on. From time to time, such advances grow up for tuning and etc. For the most part, it does not ease to learn a part of the method. Unless you know the basics of it, to this end, we would say we are here to help you in all aspects.
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 |