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LEO Satellite-Aided Over-the-Air Computation for Unmanned Aerial Vehicle Swarm Sensing
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- Authors
- Jung-Bin Kim, In-Ho Lee, Haejoon Jung
- Issue Date
- 2024-01
- Citation
- IEEE Communications Letters, v.28, no.1, pp.143-147
- ISSN
- 1089-7798
- Publisher
- Institute of Electrical and Electronics Engineers
- Language
- English
- Type
- Journal Article
- Abstract
- To overcome the bandwidth limitation for wireless data aggregation from a massive number of smart sensors or devices, over-the-air computation (AirComp) has been developed for ultra-fast data fusion. In this letter, we consider Low Earth orbit (LEO) satellite-aided AirComp networks to collect sensing information from unmanned aerial vehicle (UAV) swarms. To avoid excessive overhead in the conventional scheme, we propose a low-complexity pre- and post-processing scheme, where each UAV can adjust its phase in a distributed manner. Because the location information (LI) of the satellite fusion center (SAT-FC) is critical, we also derive the mean squared error (MSE) expressions for both perfect and imperfect LI cases. Analysis and simulation results show that the MSE may be degraded by a factor of 10 or more, with the azimuth and elevation angle errors of 0.001° and 0.1% distance error, which emphasizes the significance of the accurate LI of the SAT-FC.
- KSP Keywords
- Analysis and simulation, Bandwidth limitation, Data fusion, Distance error, Fast data, Fusion center, Location information(GPS), Low earth orbit (LEO) satellite, Over-the-air(OTA), Pre- and post-processing, Smart sensor