Joint Beamforming and Illumination Pattern Design for Beam-Hopping LEO Satellite Communications
<|reference_start|>Joint Beamforming and Illumination Pattern Design for Beam-Hopping LEO Satellite Communications: Since hybrid beamforming (HBF) can approach the performance of fully-digital beamforming (FDBF) with much lower hardware complexity, we investigate the HBF design for beam-hopping (BH) low earth orbit (LEO) satellite communications (SatComs). Aiming at maximizing the sum-rate of totally illuminated beam positions during the whole BH period, we consider joint beamforming and illumination pattern design subject to the HBF constraints and sum-rate requirements. To address the non-convexity of the HBF constraints, we temporarily replace the HBF constraints with the FDBF constraints. Then we propose an FDBF and illumination pattern random search (FDBF-IPRS) scheme to optimize illumination patterns and fully-digital beamformers using constrained random search and fractional programming methods. To further reduce the computational complexity, we propose an FDBF and illumination pattern alternating optimization (FDBF-IPAO) scheme, where we relax the integer illumination pattern to continuous variables and after finishing all the iterations we quantize the continuous variables into integer ones. Based on the fully-digital beamformers designed by the FDBF-IPRS or FDBF-IPAO scheme, we propose an HBF alternating minimization algorithm to design the hybrid beamformers. Simulation results show that the proposed schemes can achieve satisfactory sum-rate performance for BH LEO SatComs.<|reference_end|>
@article{wang2024joint,
    title={Joint Beamforming and Illumination Pattern Design for Beam-Hopping LEO
  Satellite Communications},
    author={Jing Wang, Chenhao Qi, Shui Yu, Shiwen Mao},
    journal={arXiv preprint arXiv:2409.10127},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.10127},
    primaryClass={cs.IT eess.SP math.IT}
}