Smart City Gnosys
Smart city article details
| Title | Exploiting Correlations For Enhanced Spectrum Efficiency In Smart City 6G With Multi-Uav Networks |
|---|---|
| ID_Doc | 25394 |
| Authors | Alnakhli M. |
| Year | 2024 |
| Published | Proceeding - 2024 IEEE Cloud Summit, Cloud Summit 2024 |
| DOI | http://dx.doi.org/10.1109/Cloud-Summit61220.2024.00027 |
| Abstract | The exponential growth of user demands and the development of the Internet of Everything (IoE) present challenges in achieving efficient spectrum utilization in Unmanned Aerial Vehicles (UAVs) 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 admission of nearly 100% of delay-intolerant traffic and reduces the mean delay for delay-tolerant traffic by 50-88%, thereby enhancing overall network performance. |
| Author Keywords | 6G networks; IoT; Smart City; Source correlations; Spectrum efficiency; Unmanned Aerial Vehicles (UAVs) |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
34404  | 0.923 | Alnakhli M. | Joint Optimization Of Spectrum And Power Control In 6G Multi-Uav Networks: Managing Data Redundancy | IEEE Access (2025) |
| 23139 | 0.886 | Uko M.; Ekpo S.; Ukommi U.; Iwok U.; Alabi S. | Energy And Spectral Efficiency Analysis For Uav-To-Uav Communication In Dynamic Networks For Smart Cities | Smart Cities, 8, 2 (2025) |
| 40866 | 0.871 | Darem A.A.; Alkhaldi T.M.; Alhashmi A.A.; Mansouri W.; Alghawli A.S.A.; Al-Hadhrami T. | Optimizing Resource Allocation For Enhanced Urban Connectivity In Leo-Uav-Ris Networks | Journal of King Saud University - Computer and Information Sciences, 36, 10 (2024) |
| 23954 | 0.859 | Aarthi G.; Bhargava Kumar L.; Vaidya M.; Nema S.; Krishnan P.; Sangeetha A.; Natarajan R.; Thangavel K. | Enhancing Smart City Connectivity: Implementing Channel-Adaptive Strategies For Fso-Based Drone-Assisted Mobile Access Networks In Urban Environments | IEEE Access, 13 (2025) |
| 40943 | 0.858 | Sehito N.; Shouyi Y.; Alshahrani H.M.; Alamgeer M.; Dutta A.K.; Alsubai S.; Nkenyereye L.; Dhanaraj R.K. | Optimizing User Association, Power Control, And Beamforming For 6G Multi-Irs Multi-Uav Noma Communications In Smart Cities | IEEE Transactions on Consumer Electronics, 70, 3 (2024) |