Intelligent UAV Swarm Coexistence in DTV Bands

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.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757670
Primary Topic
UAV Applications and Optimization
Type
article
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article

Intelligent UAV Swarm Coexistence in DTV Bands

Ashutosh Balakrishnan, Swades De, Rajrshi Dubey
UAV Applications and Optimization
article

Intelligent UAV Swarm Coexistence in DTV Bands

Ashutosh Balakrishnan, Swades De, Rajrshi Dubey
article en

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.

Indian Institute of Technology Delhi (IN)
Affordable and clean energy
Openalex Percentile: Top 58%
UAV Applications and Optimization
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Intelligent UAV Swarm Coexistence in DTV Bands — Ashutosh Balakrishnan, Swades De, et al. · (2024) | TGRS Research Map | TGRS