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Title |
Applying Artificial Intelligence Based on Fuzzy Logic for Improved Cognitive Wireless Data Transmission: Models and Techniques |
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Author |
Ahmad AbdulQadir AlRababah |
| Citation |
Vol. 23 No. 12 pp. 13-26 |
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Abstract |
Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant. |
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Keywords |
wireless network; cognitive wireless network; radio frequency spectrum; operational frequencies; natural limitations of frequency; quality requirements; artificial intelligence; data transmission. |
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