Resource Efficiency Optimization for Robust Multigroup Multicast Satellite Communications

Gao, Linna; Wang, Wenjin; Ding, Rui; You, Li; Gao, Xiqi

doi:10.1109/iccworkshops50388.2021.9473760

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…Equations ( 17) and ( 18) are approximations with closed form, the feasibility of which have been discussed in detail in Refs. [31,32].…”

Section: System Ratementioning

confidence: 99%

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

Liu

et al. 2022

Sensors

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In the satellite multigroup multicast communication systems based on the DVB-S2X standard, due to the limitation of the DVB-S2X frame structure, user scheduling and beamforming design have become the focus of academic research. In this work, we take the massive multi-input multi-output (MIMO) low earth orbit (LEO) satellite communication system adopting the DVB-S2X standard as the research scenario, and the LEO satellite adopts a uniform planar array (UPA) based on the fully connected hybrid structure. We focus on the coupling design of user scheduling and beamforming; meanwhile, the scheme design takes the influence of residual Doppler shift and phase disturbance on channel errors into account. Under the constraints of total transmission power and quality of service (QoS), we study the robust joint user scheduling and hybrid beamforming design aimed at maximizing the energy efficiency (EE). For this problem, we first adopt the hierarchical clustering algorithm to group users. Then, the semidefinite programming (SDP) algorithm and the concave convex process (CCCP) framework are applied to tackle the optimization of user scheduling and hybrid beamforming design. To handle the rank-one matrix constraint, the penalty iteration algorithm is proposed. To balance the performance and complexity of the algorithm, the user preselected step is added before joint design. Finally, to obtain the digital beamforming matrix and the analog beamforming matrix in a hybrid beamformer, the alternative optimization algorithm based on the majorization-minimization framework (MM-AltOpt) is proposed. Numerical simulation results show that the EE of the proposed joint user scheduling and beamforming design algorithm is higher than that of the traditional decoupling design algorithms.

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“…Equations ( 17) and ( 18) are approximations with closed form, the feasibility of which have been discussed in detail in Refs. [31,32].…”

Section: System Ratementioning

confidence: 99%

“…The value of P 0 can be calculated by [31]. In addition, the system parameters used in the numerical simulations are shown in Table 1.…”

Section: Solution Of the Analog Beamforming Matrix Based On The MM Al...mentioning

confidence: 99%

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

Liu

et al. 2022

Sensors

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Distortion-aware beamforming design for multi-beam satellite communications with nonlinear power amplifiers

Xiao,

You,

Wang

et al. 2024

Sci. China Inf. Sci.

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Robust Energy-Efficient Hybrid Beamforming Design for Massive MIMO LEO Satellite Communication Systems

Liu

et al. 2022

IEEE Access

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Resource Efficiency Optimization for Robust Multigroup Multicast Satellite Communications

Cited by 5 publications

References 19 publications

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

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

Distortion-aware beamforming design for multi-beam satellite communications with nonlinear power amplifiers

Robust Energy-Efficient Hybrid Beamforming Design for Massive MIMO LEO Satellite Communication Systems

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