Distributed computing in special purpose wireless telecommunication systems: performance and prospects
DOI:
https://doi.org/10.20535/2411-1031.2023.11.1.283922Keywords:
cloud computing, distributed systems, application as a service, wireless telecommunications networksAbstract
The study is devoted to the analysis of the application of distributed computing technologies in wireless telecommunication systems. The paper considers the concept of cloud radio access networks (C-RAN) and their use to improve productivity and reduce costs of communication operators. The logical relationship of mobile devices, cloud wireless network and internal servers is considered, as well as the role of split-TCP-proxy in the distribution of connections and maintenance of constant communication between the user and the internal server of the cloud. It is noted that the dynamic operations of the wireless network cloud, such as topology configuration and data rate distribution, provide better service at the upper layer. The importance of knowing the state of the wireless channel for the successful implementation of operations in C-RAN is emphasized. It is noted that the use of distributed computing in wireless systems can reduce deployment and maintenance costs, providing efficient data transmission and improved performance. The obtained results indicate the possibility of successful use of distributed computing technologies in wireless telecommunication systems. This opens prospects for communication operators to reduce costs and improve the quality of service. The research is relevant in the context of the continuous development of wireless technologies and has the potential for further research and improvement of wireless telecommunication systems. Future work may focus on expanding the scope of research, including a wider range of technologies and algorithms that can be used to optimize the performance of cloud radio access networks. In addition, the impact of using distributed computing technologies on other aspects of wireless systems, such as security, resource management, and scalability, can be considered. Research may also focus on the use of other protocols and algorithms to distribute computing tasks and optimize data transmission.
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