Abstract
Wireless communication network spectrum is a limited resource. With the rapid increase of mobile communication services in recent years, traditional spectrum allocation methods are only based on a fixed spectrum allocation strategy, which often results in uneven and wasteful resource allocation. Therefore, spectrum allocation and the optimization problem need to be solved urgently. The application of semantic mobile computing in the Internet of Things and the research of emerging bionic models provide new ideas for this problem. In order to solve the problem of spectrum optimization and allocation, this paper proposes an optimization algorithm that simulates fisherman fishing to reasonably arrange the allocation and optimization of wireless network spectrum. This paper selects SFOA and the other two algorithms, designs experimental functions to perform calculations separately, obtains relevant data indicators, and uses comparative analysis to analyze. The analysis shows that in terms of performance, the success rate of SFOA is higher than that of PSO, and the success rate of the two function calculations has reached 100%. In the signal-to-noise ratio analysis, when the signal-to-noise ratio is -4 dB, the throughput of GPSO reaches the maximum value of 0.17, the throughput of PSO reaches the maximum value of 0.56, and the throughput of SFOA reaches 1, which shows that SFOA is adopted. The stability and accuracy of the algorithm are higher than the other two algorithms, and in the case of high signal-to-noise ratio, the advantages of the SFOA algorithm are also more obvious. This shows that the use of this algorithm will be very helpful for spectrum allocation and optimization. Because SFOA has high stability and accuracy, through reasonable adjustment and improvement, it can make good use of spectrum allocation and optimization. Chinese wireless communication network and the development of Internet of Things technology are of great significance.
Highlights
Wireless communication uses electromagnetic wave signals to propagate and exchange information in space
Research Method of Spectrum Allocation and Optimization of Wireless Communication Network Based on SFOA
Starting from the spectrum allocation and optimization of wireless networks, this paper summarizes and draws on the research results of some scholars, comprehensively introduces and studies concepts such as semantic mobile computing, spectrum allocation, and optimization, and proposes the use of SFOA algorithms to solve wireless network spectrum, the method of allocation and optimization, and in-depth analysis of this algorithm and multiple algorithms in terms of performance, operating speed, throughput, and system benefits
Summary
Wireless communication uses electromagnetic wave signals to propagate and exchange information in space. It is not restricted by the geographical environment. When the application environment changes, wireless communication only needs slight adjustments to quickly adapt to the new environment. Using the radio frequency identification technology in the Internet of Things, combined with the reasonable allocation and optimization of the spectrum, can minimize interference to other users. Mobile computing technology has developed rapidly in recent years, and the technology has become quite mature. Mobile technology provides rich content, and has powerful functions that can be expanded infinitely and the upgradeability of hardware, which enables it to truly realize the integration of communications, computers, and the Internet
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