There are numerous research gaps that exist in the domain of wireless communication. Our writers are well-equipped to adhere to the formatting guidelines and requirements outlined by your style guide or university. Explore the various ideas and topics we have explored in the field of communication. We offer few possible research gaps in different regions of wireless communication:

1. 6G Wireless Communication:

• Research Gap: For terahertz (THz) interaction, there is insufficient of organized protocols.
• Possible Research: As a means to assist ultra-high-speed data transmission in 6G networks, construct and assess protocols for THz interaction.

2. AI-Driven Network Management:

• Research Gap: In dynamic spectrum management and actual-time resource allocation, application of AI is inadequate.
• Possible Research: For dynamic spectrum management and resource allocation in actual-time settings, focus on deploying and assessing AI methods.

3. Massive MIMO and Beamforming:

• Research Gap: Scalability and realistic deployment of massive MIMO frameworks is considered as the main limitation.
• Possible Research: In order to improve the feasibility of massive MIMO frameworks, it is appreciable to explore scalable beamforming approaches and hardware approaches.

4. Edge and Fog Computing in Wireless Networks:

• Research Gap: Typically, in distributed fog and edge computing platforms, there are problems based on confidentiality and protection.
• Possible Research: For fog and edge computing in wireless networks, aim to create efficient safety models and confidentiality-preserving methods.

5. Quantum Communication:

• Research Gap: In quantum communication frameworks, realistic deployment limitations and high error rates exist.
• Possible Research: Focus on modeling and assessing quantum error correction approaches and realistic deployments of quantum communication protocols.

6. Vehicular Ad-Hoc Networks (VANETs) and V2X Communication:

• Research Gap: Generally, in high-mobility settings, the way of assuring consistent interaction is determined as a major challenge.
• Possible Research: In order to sustain consistency and low delay in high-mobility vehicular platforms, aim to create and evaluate communication protocols.

7. Visible Light Communication (VLC):

• Research Gap: In previous RF communication models, there are combination and interoperability limitations.
• Possible Research: Hybrid VLC-RF communication frameworks have to be developed. In different platforms, aim to assess their effectiveness.

8. Blockchain for Wireless Networks:

• Research Gap: In blockchain-related approaches, high computational overhead and delay are occurring.
• Possible Research: For decreased computational overhead and delay, enhance blockchain based protocols. Thereby, creating them in such a manner that is highly appropriate for wireless networks.

9. Internet of Things (IoT):

• Research Gap: In large-scale IoT implementations, there exist problems of interoperability and scalability.
• Possible Research: To assure interoperability among various devices and environments, create scalable IoT interaction protocols.

10. Software-Defined Networking (SDN) and Network Function Virtualization (NFV):

• Research Gap: Specifically, in SDN and NFV-based wireless networks, safety risks are occurring.
• Possible Research: To secure SDN and NFV-based networks from different risks and assaults, focus on modeling safety technologies.

11. Energy Harvesting and Green Communication:

• Research Gap: Consistency and performance of recent energy harvesting approaches are insufficient.
• Possible Research: For wireless communication devices, examine novel resources and algorithms to enhance the consistency and effectiveness of energy harvesting.

12. Wireless Mesh Networks:

• Research Gap: Mainly, in dynamic platforms, there are inadequate routing protocols and network effectiveness.
• Possible Research: As a means to enhance effectiveness in dynamic and heterogeneous mesh network platforms, create adaptive routing protocols.

13. Cognitive Radio Networks:

• Research Gap: The major research gap is consistent and effective spectrum sensing approaches.
• Possible Research: Typically, to improve the performance and consistency of cognitive radio networks, it is appreciable to develop and evaluate progressive spectrum sensing methods.

14. Millimeter-Wave and Terahertz Communication:

• Research Gap: Interpretation of channel features and propagation frameworks are inadequate.
• Possible Research: As a means to create precise channel frameworks and propagation features for millimeter-wave and terahertz interaction, aim to carry out experimental studies.

15. Digital Twins in Wireless Networks:

• Research Gap: Typically, actual-time data synchronization and combination limitations are examined as the significant research gap.
• Possible Research: For consistent combination and actual-time data synchronization among physical networks and their digital twins, focus on constructing appropriate techniques.

What are some hot topics in wireless network security one should do a thesis on?

In the domain of wireless network security, there are several topics progressing in current years. But some are determined as efficient and suitable for a thesis. We provide few effective topics in wireless network safety that could be appropriate for a thesis:

1. Quantum-Safe Cryptography:

• The cryptographic methods have to be investigated in such a manner that are resilient to quantum computing assaults.
• For safe wireless communication, construct and assess quantum key distribution (QKD) protocols.

2. Blockchain-Based Security Solutions:

• In order to improve confidentiality and protection in wireless networks, aim to deploy blockchain mechanisms.
• The scalability and effectiveness of blockchain-related access control and authentication technologies has to be assessed.

3. AI and Machine Learning for Network Security:

• Specifically, in wireless networks, focus on employing methods of machine learning for anomaly identification and intrusion identification.
• For pre-emptive threat identification and reduction, it is appreciable to create AI-based safety models.

4. 5G Network Security:

• Encompassing network slicing and virtualization, explore safety limitations and approaches that are certain to 5G networks.
• Mainly, for massive machine-type communication (mMTC), and ultra-reliable low-latency communication (URLLC), aim to construct safe communication protocols.

5. IoT Security:

• Safety limitations in Internet of Things (IoT) networks, involving data confidentiality and device authentication has to be solved.
• For resource-constrained IoT devices, focus on creating lightweight cryptographic approaches.

6. Cognitive Radio Network Security:

• To avoid primary user emulation assaults, improve the protection of spectrum sensing.
• As a means to secure in opposition to malevolent assaults, deploy safe dynamic spectrum access protocols.

7. Vehicular Ad-Hoc Network (VANET) Security:

• Typically, for vehicle-to-everything (V2X) interaction, it is appreciable to build safe communication protocols.
• In order to secure user data in vehicular networks, explore confidentiality-preserving technologies.

8. Wireless Sensor Network (WSN) Security:

• Safety problems in WSNs, like safe data gathering and key management have to be solved.
• To identify and reduce malevolent actions, focus on deploying intrusion detection frameworks for WSNs.

9. Security in Software-Defined Networking (SDN) and Network Function Virtualization (NFV):

• Generally, in NFV and SDN infrastructures, aim to investigate safety risks.
• In order to secure in opposition to assaults, it is appreciable to construct safe SDN controllers and network functions.

10. Physical Layer Security:

• To improve safety at the physical layer, explore beneficial approaches like jamming-resilient interaction and physical layer key generation.
• As a means to secure in opposition to intervention and eavesdropping, create safe modulation and coding plans.

11. Privacy-Preserving Data Aggregation:

• For safe and confidentiality-preserving data gathering in wireless networks, focus on creating suitable approaches.
• Specifically, for confidentiality-preserving data analysis, utilize homomorphic encryption and safe multi-party computation.

12. Secure Edge and Fog Computing:

• In fog and edge computing platforms, solve safety and confidentiality limitations.
• In order to secure in opposition to illicit access and assaults, deploy safe data storage and computation at the edge.

13. Security in Wireless Mesh Networks:

• Typically, safe routing protocols have to be constructed to secure against routing assaults in mesh networks.
• For safe interaction in wireless mesh networks, it is advisable to utilize efficient key management plans.

14. Security in Visible Light Communication (VLC):

• In VLC frameworks, aim to explore possible safety risks and attacks.
• For VLC interaction, construct safe modulation and encryption approaches.

15. Adaptive Security Mechanisms:

• On the basis of network situations and threat ranges, adapt safety criterions in a dynamic manner by developing adaptive safety models.
• For improved security in wireless networks, it is approachable to deploy context-aware safety protocols.