Joint Optimization of Time-Slot Scheduling and Beamforming for Cooperative Satellites with Per-Antenna Power Constraints

In this paper, we investigate the time-slot user scheduling and beamforming design for cooperative satellites. We take into account the more practical constraint of per-antenna power constraint (PAPC). Unlike traditional approaches where these two issues are usually studied separately, we adopt a joint optimization strategy to maximize the max-min fairness (MMF) spectral efficiency of the cooperative satellite system. Thus, we formulate the MMF problem to optimize time-slot user scheduling and beamforming design. We first obtain the decoupling problem of the initial problem through equivalent transformation in order to reduce its complexity. Then, we proposed an efficient convex relaxation method based on the successive convex approximation (SCA) and semi-definite relaxation (SDR) technique to solve the decoupled problem. Numerical experiments show the superiority of our proposed joint optimization algorithm.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/icairc64177.2024.10899929
Citations
1
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
1.30
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article

Joint Optimization of Time-Slot Scheduling and Beamforming for Cooperative Satellites with Per-Antenna Power Constraints

Qi Duan, Chia‐Hsiang Fu, Feng Yang
1 citations
Satellite Communication Systems
1.30
article

Joint Optimization of Time-Slot Scheduling and Beamforming for Cooperative Satellites with Per-Antenna Power Constraints

Qi Duan, Chia‐Hsiang Fu, Feng Yang
article en
1 citations

Abstract

In this paper, we investigate the time-slot user scheduling and beamforming design for cooperative satellites. We take into account the more practical constraint of per-antenna power constraint (PAPC). Unlike traditional approaches where these two issues are usually studied separately, we adopt a joint optimization strategy to maximize the max-min fairness (MMF) spectral efficiency of the cooperative satellite system. Thus, we formulate the MMF problem to optimize time-slot user scheduling and beamforming design. We first obtain the decoupling problem of the initial problem through equivalent transformation in order to reduce its complexity. Then, we proposed an efficient convex relaxation method based on the successive convex approximation (SCA) and semi-definite relaxation (SDR) technique to solve the decoupled problem. Numerical experiments show the superiority of our proposed joint optimization algorithm.

Shanghai Jiao Tong University (CN)
Affordable and clean energy
Openalex Percentile: Top 11%
Satellite Communication Systems
1.30
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Joint Optimization of Time-Slot Scheduling and Beamforming for Cooperative Satellites with Per-Antenna Power Constraints — Qi Duan, Chia‐Hsiang Fu, et al. · (2024) | TGRS Research Map | TGRS