AI-Powered 5G Networks A Roadmap For The Future of Wireless Communications | ||||
| Nile Journal of Communication and Computer Science | ||||
| Articles in Press, Accepted Manuscript, Available Online from 11 June 2024 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/njccs.2024.268556.1030 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
nesma abdelmawla   1; hegazi ibrahim 2
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| 1Comm. & Electronics Dept., Nile Higher Institute for engineering & Technology | ||||
| 2dr | ||||
| Abstract | ||||
| Artificial intelligence (AI) is a rapidly evolving technology that has the potential to revolutionize 5G networks. AI can be used to improve the performance, security, and user experience of 5G networks in a variety of ways. For example, AI can be used to improve network performance, security, and personalize the user experience. However, there are a number of challenges that need to be addressed in order to successfully implement AI in 5G networks. Some of the most significant challenges include Data privacy and security, complexity, latency, cost, skills shortage. Despite these challenges, the potential benefits of AI in 5G networks are significant. AI can be used to improve the performance, security, and user experience of 5G networks, and it is likely that AI will play an increasingly important role in the development and deployment of 5G networks in the future. This study spots the lights on the benefits of implementing AI Techniques in 5G Networks. It discusses different AI Techniques that can be merged in 5G networks, applications, key requirements for implementing AI in 5G networks, available Simulation Tools to help researchers in this field. This will assist researchers in choosing the optimal tool for their work with incorporating additional features. Finally, this study discussed in details challenges and future research directions for implementing AI techniques in 5G networks. | ||||
| Keywords | ||||
| AI; 5G; Wireless; Networks; IoT | ||||
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