Exploiting Correlations for Enhanced Spectrum Efficiency in Smart City 6G with Multi-UAV Networks

The exponential growth of user demands and the development of the Internet of Everything (loE) present chal-lenges in achieving efficient spectrum utilization in Unmanned Aerial Vehicles (UAV s) networks operating in 6G and smart city. This study aims to improve spectrum efficiency by exploiting redundancies, specifically source correlations like co-located video sensors and collocating data, in smart city. We propose a linear program to optimally allocate bandwidth to links based on their demands while satisfying spatial spectrum reuse constraints. Analytical evaluations using the linear program demonstrate significant enhancement in spectrum efficiency through source correlation exploitation. We identify mechanisms to maximize the spectrum efficiency improvement, considering the trade-off between accuracy and computational complexity. Results show that by identifying the appropriate set of source correlations, spectrum efficiency can be enhanced by orders of magnitude. Furthermore, leveraging source correlations allows for the ad-mission of nearly 100% of delay-intolerant traffic and reduces the mean delay for delay-tolerant traffic by 50-88%, thereby enhancing overall network performance.