ABSTRACT
Unmanned Aerial Vehicles (UAVs) are transforming cellular networks, extending coverage to underserved regions and enabling swift deployment of communication infrastructure. However, the dynamic nature of UAVs poses challenges in user association and resource allocation. To address this, we introduce dynamic user association and resource allocation technique for UAV-assisted cellular networks. This technique leverages UAV trajectory data to optimize user connections, enhancing SINR for uninterrupted, high-quality connectivity within UAV coverage. Dynamic resource allocation, using the Resource Allocation Metric (RAM), efficiently manages UAV transmit power based on parameters like active UEs, individual activity duration, social priority, data volume, and battery life. Through comprehensive analysis and simulations, the proposed technique consistently outperforms conventional techniques in SINR and system throughput.
- Kuo-Ming Chen, Tsung-Hui Chang, and Ta-Sung Lee. 2019. Lifetime Maximization for Uplink Transmission in UAV-Enabled Wireless Networks. In Proceeding of the IEEE Wireless Communications and Networking Conference. 1–6.Google ScholarDigital Library
- Nway Nway Ei, Chit Wutyee Zaw, Min Kyung Lee, and Choong Seon Hong. 2019. Cell Association in Energy-Constrained Unmanned Aerial Vehicle Communications Under Altitude Consideration. In Proceeding of the International Conference on Information Networking. 93–97.Google ScholarCross Ref
- Azade Fotouhi, Haoran Qiang, Ming Ding, Mahbub Hassan, Lorenzo Galati Giordano, Adrian Garcia-Rodriguez, and Jinhong Yuan. 2019. Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges. IEEE Communications Surveys & Tutorials 21, 4 (2019), 3417–3442.Google ScholarDigital Library
- Hajar El Hammouti, Doha Hamza, Basem Shihada, Mohamed-Slim Alouini, and Jeff S. Shamma. 2021. The Optimal and the Greedy: Drone Association and Positioning Schemes for Internet of UAVs. IEEE Internet of Things Journal 8, 18 (2021), 14066–14079.Google ScholarCross Ref
- Mahmoud Sami and John N. Daigle. 2020. User Association and Power Control for UAV-Enabled Cellular Networks. IEEE Wireless Communications Letters 9, 3 (2020), 267–270.Google ScholarCross Ref
- Tiankui Zhang, Zixiong Peng, Yutao Zhu, and Yapeng Wang. 2014. Interference Matrix Based User Association Scheme in Heterogeneous Cellular Networks. In Proceeding of the IEEE International Conference on Communication Systems. 354–358.Google ScholarCross Ref
Index Terms
- Enhancing Connectivity in UAV-Assisted Cellular Networks: A Dynamic Approach to User Association and Resource Allocation
Recommendations
Joint user association and resource allocation for load balancing in RAN slicing
AbstractIn this article, we investigate the load balancing in the era of network slicing in radio access network (RAN). In our differentiated coverage RAN slicing scenario, different coverage areas of different slices have an impact on user ...
3D UAV placement and user association in software-defined cellular networks
AbstractWith the onset of unexpected or temporary problems resulting in degraded user performance, the flexibility and elasticity requirements of future cellular networks may not be fully satisfied by fixed ground base stations. A promising solution for ...
Trajectory optimization and resource allocation for UAV-assisted relaying communications
AbstractIn this paper, we study the unmanned aerial vehicles (UAV) assisted relaying communication system, where a UAV acts the mobile relay and provides the information transfer from the source to the destination. The simultaneous wireless information ...
Comments