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. WWW.HUMOSCIENCE.COM 66 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. WWW.HUMOSCIENCE.COM 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. Download 433.71 Kb. Do'stlaringiz bilan baham: |
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