Cognitive radio (CR) is one of the emerging wireless networks to detect the state of current spectrum utilization whether it is fully occupied or not through the transceiver. If the channel is overloaded, then it directs the transmission packets to move on to the less occupied/free channel to save the waiting time. Most importantly, these intelligent spectrum handovers should not affect the legitimate user’s activities. We guide research scholars in implementing cognitive radio projects using network simulator.     

This page is about the new information on cognitive radio technology with their latest research areas and topics!!!

Generally, there are two major components in the cognitive radio as a cognitive unit and Software-Defined Radio (SDR) unit. In addition, it includes add-on subsystems that extend over the whole network coverage. Let’s see those components usages below,

Cognitive Radio Concept Architecture

  • Cognitive unit – It only takes the decision of channel switching based on the received inputs. Further, it is classified into the two categories as follows,
  • Cognitive Engine – To enhance the network performance based on current radio conditions and environs
  • Policy Engine – To check whether cognitive engine solutions meet the agreement rules and regulations. Further, it can update, create and execute the policies for CRN. Also, it only generates the responses for any events 
  • SDR unit – Use software to process the signals in the re-usable radio platform (modulation/demodulation)
  • Spectrum Sensing Subsystem – To recognize the available users with service requests in the environs 

Research Issues in Cognitive Radio Networks 

Now, we can see the research challenges in cognitive radio networks. As a matter of fact, Cognitive Radio Network (CRN) comprises numerous research issues still not yet solved. Majorly, these issues are classified under the following three categories. 

  • Dynamic Spectrum Sharing
  • Dynamic Spectrum Multi-Channel Scenario
  • Dynamic Spectrum Access

To the great extent, CRN can be included in other research fields such as Wireless sensor networks, 5G, IoT, and beyond-5G, 6G networks. Here, we have given some CRN handheld research domains. Beyond this, we also support you in cognitive-related research domains.

Top 3 Research Issues in Cognitive Radio Projects

Emerging Research Fields in Cognitive Radio Projects 

  • Cognitive Radio Ad Hoc Network (CR-Ad-Hoc)
  • Heterogeneous Cognitive Radio Sensors 
  • Cognitive Radio based Satellite Communication 
  • Cooperative Multi Relay assisted Cognitive Radio
  • Mesh Cognitive Radio Network 
  • Cognitive Radio based Smart Grid Communication
  • Hierarchical Cognitive Mobile Network 
  • Cognitive Software-Defined Network 
  • Integration of CRN with Satellite Terrestrial Network 
  • Collaboration of Cognitive Radio with the Internet of Things 
  • Wireless Cognitive Radio Sensor Network
  • Cognitive Radio Delay Tolerant Network (CR-DTN)

Recently, our resource team has performed an in-depth survey on current CRN research areas. From that study, our expert has gained numerous innovative research ideas. Here, we have given our currently found interesting research areas that give massive notions. 

Future Research Areas in Cognitive Radio 

  • CR based Multi-Radios Interoperability 
  • Dynamic RRM for Cognitive Spectrum Access 
  • CRN assisted Radio Access and MAC
  • Resource allocation in heterogeneous CR Networks
  • Intelligent Spectrum Sensing Challenges in CRN 
  • Spectrum Interoperability Issues in CRN 
  • Adopting New Technologies for Resource Management 
  • Cognitive Radio for Cloud Services and Offloading 
  • Co-existence Problems in Cognitive Radio Technologies 
  • Deep learning for Spectrum Handover among CR Base Stations 
  • Learning Approaches for CRN based MAC and Routing Protocols 
  • Machine Learning Techniques for Spectrum Sensing and Sharing 
  • Duty-cycling for Cognitive Spectrum Users
  • Innovative Techniques for Low power Spectrum Sensing and Accessing
  • Intrusion Prevention in CRN
  • Intrusion Detection in CRN
  • Cognitive Radio Network Confidentiality and Safety Risks
  • Spectrum handovers in different protocols
  • Co-operative Spectrum Sensing and Geo-location Data 
  • Antenna Design and CR Spectrum Analysis for Massive MIMO
  • Intelligent Techniques for Energy Efficient Sensing 
  • Channel hopping for Dynamic Spectrum Allocation
  • Resource-Constrained CR nodes for hardware design and challenges
  • Cognitive Radio based following Communication
  • Service-to-Service (S2S) 
  • Device-to-Network (D2N)
  • Device-to-Device (D2D)
  • Machine-to-Machine (M2M)

Next, we can see a few attention-grabbing research topics for your cognitive radio projects. These topics are sure to create the best impression in your research career. Further, these topics concentrate on one of the integrated research fields of CRN as 5G Networks

Research Topics in Cognitive Radio 

  • 5G based CRN in Medium Access Control (MAC) Mechanisms
  • Primary and Secondary User Localization in 5G-CRN
  • Cognitive Radio Access Technologies in 5G Public Security
  • CRN based REM and Geo-location database for 5G Communication 
  • Cooperative Spectrum Sensing in 5G Mobile Networks
  • Advance Physical layer Approaches for CR based 5G Networks
  • Cognitive Radio Spectrum Allocation in Device-to-Device Networks 
  • Cognitive Radio Spectrum Optimization for 5G Massive MIMO 
  • Resource Allocation for Cognitive Dense Small Cells in 5G Networks

Simulation for Cognitive Radio Networks 

Simulation is the best way to analyze the network before deploying it in the real world. This simulation gives a realistic view of the actual network. Also, it is used to simulate, understand and inspect the complex behavior of the implementation environs. Some of the simulators that give the best results for Cognitive Radio Projects are MATLAB, NetSim, OPNET, and NS2. These simulators are also common for CRN integrated research areas. Further, there is a widely used simulator that is specially intended for CRN research area namely CogNS. It is open-source software that comprises NS2 simulator characteristics. Here, we have listed the common research areas that we can perform through any simulator.

  • Incumbent-UEs detection
  • Efficient Spectrum Usage 
  • Spectrum Sensing and Allocation
  • Accurate Spectrum Utilization Measurement 

In addition, NS3 also grabs the attention of scholars to develop their cognitive radio projects. This tool is used as both simulator and emulator for developing CRN systems with the support of hardware as Atheros WiFi devices. 

Performance Analysis in CRN

Now, we can see how the performance of the CRN system is evaluated at the time of the simulation. For instance: we can take spectrum sensing topics. Since it is one of the important and critical processes in the cognitive radio network. So, it is necessary to assess this process through optimal parameters. Based on the assessment result, we can improve the performance even better. Some of their parameters are given below,

Parameters of Spectrum Sensing

  • Miss Detection Probability 
  • Error Rate
  • Spectrum Sensing Period
  • Detection Probability 
  • Probability of Collision (PoC)
  • Power Spectrum Density (PSD)
  • Number of Channels (occupied)
  • And many more

Certainly, spectrum sensing is improved by the above-specified metrics. Likewise, we support you on another research topic. Based on your handpicked problem and proposed solutions, our developers will suggest the appropriate parameters. For a project, we suggest more than 6 metrics to enhance the result in all possible ways. 

Overall, we support you in both the research and development aspect of your study. In addition, we also serve in Research Proposal Help , Paper writing, paper publication, and thesis writing. For all these services, we allocate a team of technical professionals, developers, native writers, and experts to give you the best guidance in each phase of research. Further, if you need more detail on current cognitive radio projects or our services, then communicate with us. We will let you know your requested information instantly.