Wireless communication and networking. Abdullayev Baxtiyor Panji ugli


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Related research 
There has been a significant amount of research conducted in the field of wireless 
communication and networking over the past few decades, addressing various 
challenges and opportunities. Here are some examples of related research: 
Interference Mitigation Techniques: Interference is a significant challenge in 
wireless communication and networking, which can lead to network failures and poor 
quality of service. Researchers have developed various interference mitigation 
techniques, such as beamforming, interference cancellation, and dynamic spectrum 
access, to address this challenge. For instance, Li et al. (2021) proposed a 
beamforming-based 
interference 
mitigation 
technique 
for 
millimeter-wave 
communication that improves the signal-to-interference-and-noise ratio and the 
network capacity. 
Security and Privacy: Security and privacy are crucial aspects of wireless 
communication and networking, as wireless signals can be easily intercepted and 
compromised by malicious actors. Researchers have developed various encryption and 
authentication techniques, such as AES and RSA, to ensure the security and privacy of 
wireless communication and networking. Additionally, privacy-preserving techniques, 
such as differential privacy and homomorphic encryption, have been proposed to 
protect user privacy. For example, Fung et al. (2020) proposed a homomorphic 
encryption-based privacy-preserving machine learning framework for IoT devices. 


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5G and Beyond: 5G is the latest wireless networking technology that promises to 
improve the speed, efficiency, and reliability of wireless communication and 
networking. However, researchers are already exploring the possibilities of 6G and 
beyond, which are expected to provide even faster and more reliable communication. 
For example, Huang et al. (2021) proposed a deep learning-based communication 
scheme for 6G networks that improves the spectral efficiency and reduces the latency. 
Wireless Sensor Networks: Wireless sensor networks (WSNs) are a type of 
wireless networking technology that is widely used in various industries, such as 
healthcare, agriculture, and environmental monitoring. Researchers have developed 
various solutions and techniques, such as energy harvesting, data aggregation, and 
routing, to address the challenges faced by WSNs, such as energy efficiency and 
network lifetime. For example, Li et al. (2021) proposed an energy-efficient data 
collection and aggregation scheme for WSNs that reduces the energy consumption and 
prolongs the network lifetime. 
Photo 1. Diagram of wireless communication system. 


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67 
Network 
Virtualization 
and 
Software-Defined 
Networking: 
Network 
virtualization and software-defined networking (SDN) are emerging technologies that 
promise to improve the flexibility, scalability, and agility of wireless networks. 
Researchers have proposed various network virtualization and SDN-based solutions, 
such as network slicing and dynamic routing, to address the challenges faced by 
wireless networks, such as resource allocation and management. For example, Li et al. 
(2020) proposed a network slicing-based resource allocation scheme for 5G networks 
that improves the network performance and efficiency. 
These are just a few examples of the vast amount of research being conducted in 
the field of wireless communication and networking. Researchers and engineers are 
continuously exploring new solutions and technologies to address the challenges and 
opportunities in this rapidly evolving area of technology. 

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