Joint User Scheduling and Hybrid Beamforming Design for Massive MIMO LEO Satellite Multigroup Multicast Communication...

Area of Science:

• Satellite Communications
• Wireless Communication Systems
• Signal Processing

Background:

• DVB-S2X standard limitations in satellite multicast systems necessitate research into user scheduling and beamforming.
• Massive MIMO LEO satellite systems with uniform planar arrays (UPA) present unique design challenges.
• Coupling user scheduling and beamforming is crucial for optimizing system performance.

Purpose of the Study:

• To develop a robust joint user scheduling and hybrid beamforming design for massive MIMO LEO satellite systems.
• To maximize energy efficiency (EE) under total transmission power and quality of service (QoS) constraints.
• To account for residual Doppler shift and phase disturbance effects on channel errors.

Main Methods:

• Hierarchical clustering algorithm for user grouping.
• Semidefinite programming (SDP) and concave convex process (CCCP) for optimization.
• Penalty iteration algorithm for rank-one matrix constraints.
• Majorization-minimization based alternative optimization (MM-AltOpt) for hybrid beamformer matrix derivation.
• User preselection step to balance performance and complexity.

Main Results:

• The proposed joint design significantly enhances energy efficiency (EE) compared to traditional decoupling methods.
• The algorithm effectively handles channel uncertainties like Doppler shift and phase disturbance.
• The MM-AltOpt approach successfully derives both digital and analog beamforming matrices.

Conclusions:

• Joint user scheduling and beamforming design is superior to decoupled approaches for DVB-S2X LEO satellite systems.
• The developed robust optimization framework maximizes EE while respecting system constraints.
• This research contributes to more efficient and reliable satellite communication system design.