Cellular Network Projects

Cellular Network Projects

Cellular Network Projects is the planning of cellular access to current and future generations of wireless networks. In brief, a cellular network is a wireless network that enables communication to mobile devices through base stations. Due to the rapid growth of smartphones, the cellular network is a great platform for users to connect and interact with them.

The name ‘cellular network’ is also citing as ‘Mobile Network.’ Here, a cell refers to a lane area under the coverage of any specific base station. Every year cellular network setup moves to generations. Each change varies from capacity and coverage. At this point, cell signal encoding is a default concept that runs by means of FDMA, TDMA, and CDMA.

Let’s see the lists of cellular technologies, 

  • 2G Networks 
    • GSM, EDGE, and also Evolved EDGE
  • 3G Networks 
    • UMTS
  • 4G Networks
    • LTE, WiMAX, and UWB
  • 5G Networks and Beyond 5G

WHERE CAN WE NEED FAST SPEED AND HIGH COVERAGE NETWORKS? 

  • Internet Content Search 
  • Video Conferencing 
  • Multimedia Streaming 
  • Bulk Data Transmission 
  • VoIP and also Online Gaming 
  • Near Real-Time Video Traffic 

   In particular, to a certain extent, new use cases are summarized next. Each of the projects dealt with novel ideas and tested using applications. As long as the cellular network focuses more on the attractive topics in the current years.  

  • Extremely HD (EHD) Video 
  • Tactile Internet 
  • Holographic Telepresence Applications 
  • Haptic Communications 
Challenges faced in designing cellular network projects for students

Coupled Fields To Cellular Network 

  • Wireless Ad Hoc Networks 
  • Internet of Things 
  • Mobile Cloud 
  • Sustainable Computing 
  • Cognitive Radio Networks 
  • SDN, and also NFV
  • Green Networking 
  • Opportunistic Networks 
  • Online Social Networks 
  • Vehicular Networks 

Main Issues In Cellular Networks 

  • Inter-cell interference coordination
  • Handoff management
  • Maximization of energy efficiency
  • Self-organization
  • QoS, and also QoE Provisioning
  • Massive Channel Access 
  • Coverage and also Capacity Extension 

   To fill the above gaps, we look at an in-depth on a solution. At this time, we find a way i.e., Machine Learning (ML). ML would be a viable solution for cellular network projects. As listed above, we can use the ML to acquire info and adapt to solve those issues. Further, now keep your eye on the few research problems and the solving methods for each. 

  • Data Aggregation and Clustering
    • K-means, Fuzzy C-Means, PCA, and also so on. 
  • Resource Allocation (Random Access and Scheduling)
    • Q-learning, DNN, Simulated Annealing, and also so on. 
  • Mobility Prediction and Traffic Classification
    • 1-class and Multi-class SVM, RNN, and many more. 
  • Interference Management and Power Allocation
    • CART decision tree, linear regression, KNN, etc.  
  • Cell, Channel Selection and also Resource Discovery 
    • Supervised Inductive Learning, ANN, etc. 

Emerging Trends Under Cellular Network Projects 

  • Resource Management under Cellular D2D
  • Location Management in Cellular Networks 
  • Digital Forensic Analysis in Mobile Systems 
  • Fair Resource Scheduling in Packet Cellular Networks 
  • Bandwidth Consumption under Heterogeneous Cellular Networks 
  • Congestion or Traffic Management in Integrated Fields

   As a result, the info presented in this page offers you enough ideas to ease the project as well as research digital forensics projects. In fact, our team workers make a plan after thoroughly reviewing the gaps for your topic. When you are buying something that we have suggested means, your project staff will receive a great impression of your work since they meet all the guidelines of your college or university.

   To this end, we conclude that we have wide ideas in this part. In fact, we sort out up to 40K+ tasks in this topic. Of course, all in all, we serve an aid in other fields as well. So we can build your topic in the apt tool.

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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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