5G/6G Integration with Artificial Intelligence for Smart Cities and Autonomous Systems: AI-Enabled Spectrum Management and Sensor Fusion for Urban Mobility and V2X Communications
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V6I3P110Keywords:
5G, 6G, Artificial Intelligence, Smart Cities, Autonomous Systems, V2X, Spectrum Management, Sensor FusionAbstract
The high urbanization rate of the contemporary societies has amplified the need of smart, efficient and robust communication structures that could facilitate smart cities and autonomous systems. The 5G and the new 6G wireless networks are envisaged as the primary enablers of such environments, which provide ultra-low latency, massive connectivity and high data rates. Parallel to this, artificial intelligence (AI) has been developed as a disruptive technology of maximizing network functions, spectrum usage, and multi-modal data fusion. In this article, the 5G/6G integration with AI in smart cities and autonomous system is thoroughly reviewed and analyzed with references to the AI-enabled spectrum management and sensor fusion in urban mobility, intelligent traffic system, and vehicle-to-everything (V2X) communications. The most important architectural frameworks, learning paradigms, optimization methods and communication models have been elaborated. In addition, this article raises issues of concern regarding scalability, privacy, reliability, and energy efficiency and forms future research directions of the AI-native 6G smart city ecosystems. The results show that the application of AI to the 5G/6G networks is a fundamental aspect of sustainable, secure, and smart cities.
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