Kavli Affiliate: Ke Wang
| First 5 Authors: Fernando Moya Caceres, Akram Al-Hourani, Saman Atapattu, Michael Aygur, Sithamparanathan Kandeepan
| Summary:
This research paper delves into interference mitigation within Low Earth
Orbit (LEO) satellite constellations, particularly when operating under
constraints of limited radio environment information. Leveraging cognitive
capabilities facilitated by the Radio Environment Map (REM), we explore
strategies to mitigate the impact of both intentional and unintentional
interference using planar antenna array (PAA) beamforming techniques. We
address the complexities encountered in the design of beamforming weights, a
challenge exacerbated by the array size and the increasing number of directions
of interest and avoidance. Furthermore, we conduct an extensive analysis of
beamforming performance from various perspectives associated with limited REM
information: static versus dynamic, partial versus full, and perfect versus
imperfect. To substantiate our findings, we provide simulation results and
offer conclusions based on the outcomes of our investigation.
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