Optimizing Spectrum Allocation for UAV Networks: A Comprehensive Approach to Frequency Management and Interference Mitigation

DOI

10.2991/978-94-6463-718-2_140How to use a DOI?

Keywords

Dynamic Frequency Allocation; Drone Communication; Interference Mitigation; Spectrum Management; UAV Systems; Wireless Communication

Abstract

Cost and communication challenges: High deployment of remote-controlled aerial drones in urban regions and crowded airspace have presented another challenge to overcome in achieving high deployment numbers in urban spaces as well as densely populated airspace from such remote-controlled aerial drones. To optimize performance in terms of drone communication, efficient frequency distribution in environments of user-density and limited spectrum availability (particularly urgency in satellite applications due to constant coverage needs) is vital. This work introduces a novel dynamic frequency assignment scheme which attempts to address those problems and achieve interference free communications for remote controlled aerial vehicles in saturated airspace. In this scheme presented, new algorithms ensure dynamic allocations of the channels with minimum interference resulting to improved efficiency of communication and better utilization of resources to achieving optimal performance. In addition, it compares this dynamic scheme with all available schemes of frequency allocation and puts forward advantages in scalability, power efficiency and adaptability and so on to real-time condition. As a simulation result, it indicates that the performance of the proposed scheme significantly outperforms the conventional geometry-based static allocation methods on spectrum utilization efficiency and delay in transmission. These potential scenario applications would be urban air mobility, coordination of large fleets of drones and emergency operations. Finally, the paper highlight challenges and regulatory constraints towards dynamic frequency allocation for drones whilst providing insights for future development as well as integration into 5G/6G communication networks.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Logachandru Rajinikanth
AU  - A. Hema Malini
PY  - 2025
DA  - 2025/05/23
TI  - Optimizing Spectrum Allocation for UAV Networks: A Comprehensive Approach to Frequency Management and Interference Mitigation
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1686
EP  - 1696
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_140
DO  - 10.2991/978-94-6463-718-2_140
ID  - Rajinikanth2025
ER  -