Cognitive Radio Network (CRN) is a fast-growing technology to allocate the radio spectrum based on the dynamic requests of the users. It is flexible to adjust the data transmission flow in the spectrum. For that, it first senses the environment to know the current spectrum state and analyze the historical information of the communication channels regarding their occupancy. Then, it takes an effective decision to assign the spectrum for users. This article intended to give valuable information on Current Cognitive Radio Networks Thesis Topics with their latest Research Areas!!!

As a matter of fact, cognitive radio has the unique capability of an intelligent dynamic configuration. Generally, there are two types of users as primary and secondary. The PU is referred to as licensed spectrum users. The SU is referred to as non-licensed spectrum users. FCC has the right to assign the spectrum to the PUs. But, it also makes SUs use the unused spectrum of PUs through cognitive radio technology.

 This technology senses the spectrum and identifies the unoccupied spectrum. Then decide to hand over the spectrum to demanding users. Based on the spectrum utilization, it directs the transmission parameters to use the available channels and enhance the concurrent communication.

Important Components in CRN 

Compare to other wireless networks, cognitive networks has some special feature that as it categorizes the spectrum users into two classifications as primary users and secondary users. Below, let’s see them in detail:

• Primary users: The licensed wireless sensors/devices which have rights to access the specific spectrum band with an assurance of the quality of service (QoS) are called primary users. Most importantly, they only have the access the higher priority to access the spectrum rather than secondary users.

• Secondary users: The secondary users are unlicensed users who can then access the licensed primary user’s spectrum without affecting their QoS. The cognitive radio mainly makes these kinds of users avail themselves of the spectrum at their need. So, they are also called cognitive users who get the benefit of cognitive service. 

Further, we have also given you the other important terminologies that are highly used in the cognitive radio network. Also, we have specified the general purpose of those entities for your ease. Let’s have a quick look over them,

• Primary User (PU) – Particular Spectrum Licensed Incumbent devices
• Secondary Service Provider (SSP) – Service Provider to save the spectrum and optimize the spectrum allocation
• Cognitive Radio Mesh – Support multi-hop communication using mesh backhaul for guiding BS for provisioning requested services to users. Also, it includes both basic and harvested bands.
• Basic Band – SSP licensed frequency bands
• Cognitive Radio Router – Relay node with multi-interfaces to facilitate existing spectrum bands for effective data transmission
• Base Station (BS) – Environmental node to support SSP for spectrum management and other coverage services

Research Challenges in CRN 

Due to the unique factor of CRN, it has several security and privacy threats, vulnerabilities. Further, it also includes other kinds of research issues and we will discuss those challenges in the coming section. Here, we have given how we assess the CRN challenges to get the expected outcome are as follows, 

• Effectual resource consumption
• Deployment of hardware 
• Statistical quality of service provisioning
• Launch of shared control channel 
• Auction of spectrum

Next, we can see the limitations that we need to focus on in the time of designing a cognitive radio network. If we take reliable precaution measures in a development phase, then it will yield the desired outcome. 

Design Constraints in Cognitive Radio Network

• Lessening Transmit Power 
• SU Transmit Power 
• Energy Causality 
• SU Outage Probability 
• Energy Collision 
• Channel Condition Estimation
• Sensing Throughput-Reliability Tradeoff
• Channel QoS of SU needs to be Good (primary user)

Certainly, we assure you that our Cognitive Radio Networks Thesis ideas will help you to untie all the research challenges in CRN. Since we will provide you the fullest support from our side under the guidance of experts to gain a top-quality result. Moreover, we also encourage our clients to come up with their ideas in their interested area. Here, we have listed the current research areas in CRN for your reference.

Research Areas in Cognitive Radio Networks Thesis 

• Collaboration Software Defined Network in CRN 
• Network Topology Variation and Node Mobility
• Privacy-Preserving Cognitive Radio Network 
• System Construction and Software Abstraction in CRN
• Smart Spectrum Sensing and Handovers
• Optimization of Spectrum Sensing Techniques
• Relay Detection and Spectrum Allocation 
• Innovations in Spectrum Policy Models
• Energy-Efficient Routing Protocols Designs
• Frequency band and Radio propagation Interdependency
• Optimization in Multiple Relay Selection 
• Cognitive Radio Protocol Verification and Validation
• Multimedia Data Transfer in Healthcare Applications
• Efficient Spectrum Mobility and Handover in CRN 
• Cooperative CRN for Massive MIMO communication
• Prevention of Real-time Proactive Interference 
• Efficient OFDMA-CRN based Resource Management 
• Improved techniques for Network Congestion and Bandwidth Shortage
• Integration of Vehicular Ad hoc Network with CRN 
• Cognitive Radio Design and Routing Protocol
• Adaptive Intelligent Techniques for Resource Provisioning
• Enhanced Spectrum Decision and Selection Approaches in CRN

How to Write the Master Thesis?

Now, we give our Cognitive Radio Networks Thesis writing support to your research. At first, we precisely write the thesis statement in two sentences that describe your handpicked research topic. Then, we reveal the current position of your research concerning the research idea. Next, we make sure that this statement directs the reader/follower to know what this writing going to argue in the rest of the thesis. Also, it explicitly should say what the research is about. Below, we can see what are things that we need to include in the perfect thesis are:

• State the research aim and objective that you repeat throughout the thesis 
• Prove that the proposed objective is associated with the research
• Point out the idea that what you are attempting to focus on in research 
• Give the proper and sufficient background context that makes you to start this research
• Elaborate the prominence and worth of the research
• Show your unique research contributions to the society
• Discuss the methodologies and algorithms used in the study 
• Present the overview of the findings and experiment results 
• Suggest the future study recommendations

In addition, our native writers have shown you that how the following points will elevate your research result in your thesis. Since the presentation of research findings is the most significant phase in thesis writing which needs extra concentration. Let’s see a few of the critical points in the result discussion.

How do we write the results in thesis writing? 

• Provide context for research findings: This section is regarding the introduction part of the thesis. Here, we focus on the background data for your findings. This will help the readers to understand the study through background context. So, we make sure that you made this point clearly in the introduction
• Debate on your outcome: First of all, we give elucidation on your experimental results. Make certain that obtained result is appropriately related to the research aim. Then, we compare the result with the previous work to evidently prove that your proposed work is efficient than others
• Replication of same data: We ensure that we have highlighted the same research point in all the sections to insist how strong we are in to take a stand for that point
• Appropriate tables and figures: We assure you that we correctly included the tables and figures with clear specifications.
• Attach raw information: If the reviewers suggest including the raw data like files and transcripts in your document, then we add that data and give proper appendices
• Disregard the undesirable outcome: When the obtained result fails to fully take a stand for the hypothesis. Then there is no need to eliminate that result. Instead, we report in what way that outcome supports our research. Certainly, we make that point to increase the engagement of the readers
• Assurance of truth for research findings: Provide suitable proofs for your findings that are highly acceptable by all readers

On the whole, reach us to avail Best PhD research guidance in the field of the cognitive radio network. We will sure to give you the complete backing to your research career in all aspects. Reach us for best cognitive radio networks thesis writing guidance.  Furthermore, to put our service in simple terms we will say “Give less and take more”.