@inproceedings{60fa4b16822443f5bd2b965c47c8cc39,
title = "Intelligent UAV Swarm Coexistence in DTV Bands",
abstract = "Intelligent spectrum sharing is one of the key enablers of upcoming sixth generation (6G) communications. Unmanned aerial vehicles (UAVs) have emerged as an attractive low altitude aerial base station (BS), providing on demand capacity especially in urban areas. This work aims to demonstrate the feasibility of coexisting UAV to UAV communication based adhoc network over digital television (DTV) bands governed through latest ATSC 3.0 standards. We propose an adaptive modulation and dynamic subcarrier (AMDS) allocation framework to intelligently allocate the resources at the UAV network through adaptive bit loading and frequency allocations. The work aims to maximize the capacity of the coexisting UAV network in addition to protecting the performance of the TV-receiver from the resultant coexisting network interference. A rate maximization problem is formulated and solved using a low computation complexity based bi-section method. Extensive simulation results indicate that the connected UAV link can achieve up to 40 Mbps capacity when 1 km apart, while coexisting and guaranteeing the performance of the DTV network.",
keywords = "ATSC 3.0, Coexistence, DTV, UAV, adaptive modulation, spectrum sharing",
author = "Rajrshi Dubey and Ashutosh Balakrishnan and Swades De",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 100th IEEE Vehicular Technology Conference, VTC 2024-Fall ; Conference date: 07-10-2024 Through 10-10-2024",
year = "2024",
month = jan,
day = "1",
doi = "10.1109/VTC2024-Fall63153.2024.10757670",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings",
}